Cloud Migration Consultant
ONSITE
Bangalore, Karnataka, India
Role Overview Avashya is an AI-first, platform-led services company founded by engineers and specialists with experience at AWS and Microsoft. This role owns enterprise cloud migration and modernisation work end to end: moving clients off infrastructure that holds them back and onto cloud foundations they can build on. Responsibilities • Extend migration and modernisation accelerators, including assessment tooling, landing-zone patterns, and reusable infrastructure code. Where a client estate breaks the template, build the pattern that handles it. • Turn learning from each migration into reusable reference architectures, cutover runbooks, and tested rollback paths. • Take client estates—such as monoliths, on-premise server fleets, and legacy data platforms—from discovery and dependency mapping through cutover and steady state. • Choose the right modernisation depth per workload: rehost where speed matters, replatform onto managed services, or refactor to containers or serverless where the business case supports it. • Stay accountable after cutover, including workload behaviour and cost. • Make client-specific tradeoffs between big-bang cutovers and incremental strangler approaches. • Hold workloads to cost and latency expectations throughout the move; a migration that lands slower or more expensive is a regression. • Gate go-live on measured validation of data integrity, performance parity, security posture, and cost against the pre-migration baseline. • Investigate cutover issues quickly with a rollback ready before it is needed. • Review architecture and code, and mentor as the team grows. Required Depth Migration strategy and architecture: • Practical command of the 7 Rs: knowing where rehost, replatform, and refactoring to containers or serverless are appropriate. • Cloud landing zones and multi-account foundations, including account structure, guardrails, network topology, hybrid connectivity, and when well-architected defaults fail real estates. • Discovery, dependency mapping, migration-wave sequencing, and cutovers that can be rolled back. • Data migration that preserves consistency and validation without extended downtime. Modernisation: • Compute modernisation through containerisation, monolith decomposition, and serverless where it fits. • Data and integration modernisation from legacy databases and ETL to managed and event-driven patterns. • Infrastructure as code, CI/CD for infrastructure, and repeatable environment builds. Cost, Security, and Validation: • Right-sizing and source-estate baselining to prove the migrated workload is cheaper to run. • Identity and access, encryption in transit and at rest, network segmentation, and regulated-data handling including HIPAA, GDPR, and data residency. • Validation of data integrity, performance parity, and security posture against pre-migration baselines, including P50/P95/P99 latency where relevant. Experience 2+ years of work experience with AWS Cloud Migration. Depth matters more than tenure. Compensation Top-of-market; pay reflects depth, not tenure.
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AWS Cloud Migration
Cloud Landing Zones
Infrastructure as Code
CI/CD
Containerization
Serverless
Data Migration
Hybrid Connectivity
Cloud Security
Cost Optimization
Rehosting
Replatforming
Application Refactoring
AWS Well-Architected Framework
HIPAA
GDPR
AWS Cloud Migration
Cloud Landing Zones
Infrastructure as Code
CI/CD
Containerization
Serverless
Data Migration
Hybrid Connectivity
Cloud Security
Cost Optimization
Rehosting
Replatforming
Application Refactoring
AWS Well-Architected Framework
HIPAA
GDPR
Voice AI Engineer
REMOTE
Role Overview Avashya is an AI-first, platform-led services company founded by engineers and specialists with experience at AWS and Microsoft. This Voice AI Engineer role owns the real-time voice platform and every client implementation built on it—closing the gap between a demo and a production-grade voice AI product. Responsibilities • Extend the real-time voice framework; when configuration reaches its limits, work directly with the runtime. • Turn lessons from each client build into reusable platform capabilities for the next. • Take client use cases—such as outbound negotiation, multilingual support, and appointment booking—from scoping through go-live. • Tune ASR, LLM, TTS, RAG, tool-calling, and orchestration to the client, languages, and call volume rather than relying on a default stack. • Remain the technical owner after launch and diagnose production behaviour quickly. • Set latency budgets for every stage of a conversation and maintain them as load and providers change. • Gate releases on measured evaluations; investigate degraded call quality before clients need to report it. • Make client-specific tradeoffs between speed and polish; review code and mentor as the team grows. Required Depth Architecture and real-time voice systems: • Deep, hands-on knowledge of Pipecat, LiveKit Agents, or comparable orchestration frameworks, including their internals and limits. • Ability to select cascaded ASR/LLM/TTS pipelines or speech-to-speech approaches based on control, swapability, latency, and prosody needs. • Strong turn-taking expertise: VAD tuning, endpointing, barge-in, and natural handling of interruptions. • WebRTC and SIP telephony experience, including jitter buffers, PSTN versus browser tradeoffs, and Opus, PCM, and mu-law codecs. Latency, retrieval, and tool use: • Ability to decompose end-to-end latency across ASR partials, LLM time-to-first-token, TTS time-to-first-audio-byte, network hops, and tool-calling round trips. • Experience streaming ASR, LLM, and TTS together, using approaches such as fillers, early commits, or speculative synthesis when tool calls are slow. • Ability to use RAG and live tool calls while preserving a natural, live conversation. Evaluation and guardrails: • Voice-specific evaluation of ASR accuracy (WER), TTS naturalness, and end-to-end conversation quality. • Track P50, P95, and P99 latency by stage and provider over time. • Implement content safety, hallucination control, PII handling for transcripts and recordings, consent, and data-residency practices for recorded calls. Experience Depth matters more than years of experience. This role calls for senior-level ownership of production voice AI systems. Compensation Top-of-market; pay reflects depth, not tenure.
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Voice AI
Pipecat
LiveKit Agents
ASR
LLM
TTS
RAG
WebRTC
SIP
VAD
Speech-to-Speech
PSTN
Voice AI Evaluation
PII Handling
Voice AI
Pipecat
LiveKit Agents
ASR
LLM
TTS
RAG
WebRTC
SIP
VAD
Speech-to-Speech
PSTN
Voice AI Evaluation
PII Handling
Ai Safety Researcher
ONSITE
Delhi, Delhi, India
Join our dynamic team as an Ai Safety Researcher, making an impactful contribution in the IT industry. You will be part of a project focused on enhancing AI safety measures, ensuring that our technological advancements align with ethical standards. Your expertise will be crucial in shaping the future of AI systems and their safe implementation. Responsibilities
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RAGAS
AI Accountability Standards
AI Bias Identification
AI Ethics Assessment
AI Ethics Principles
AI Governance
AI Governance Frameworks
AI Policy Analysis
AI Policy Understanding
AI Risk Assessment
AI Safety
AI Safety Protocols
AI System Auditing
AI Transparency Tools
Advanced AI Safety Techniques
Adversarial Machine Learning
Algorithmic Transparency
Architecture Design
Basic Knowledge of AI Alignment
Basic Knowledge of AI Robustness
Complex Systems Design
Critical Thinking
Data Analysis
Data Privacy
Data Privacy Regulations
Distributed Systems
Enterprise Architecture
Ethical AI Design
Ethical Decision Making
Ethical Frameworks
Explainability (SHAP/LIME)
Fairness Metrics
Guardrails AI
Hugging Face
Human-AI Interaction Safety
Impact Assessment
LLM Red Teaming
MITRE ATLAS
Machine Learning Basics
Model Security
OWASP Top 10 for LLMs
Performance Optimization
PyTorch
Python
Research Methodologies
Responsible AI
Responsible AI Frameworks
Risk Assessment
Safety Testing Methods
Safety Verification Techniques
Standards Setting
Statistical Analysis
System Design Basics
Technical Strategy
Threat Modeling
MITRE
ATLAS
AI Ethics Workshops
Agile Methodology
Basic Knowledge of AI Safety
Basic Programming Concepts
Budget Management
Cloud Computing
Collaborative Research
Communication Skills
Conflict Resolution
Cross-Functional Leadership
Cross-Functional Teamwork
Data Visualization
Deep Learning Techniques
Documentation Skills
Ethical AI Frameworks
Ethics in Technology
Git
JIRA
Mentoring Skills
Networking Skills
Organizational Strategy
Policy Advocacy
Presentation Skills
Problem Solving
Public Speaking
Research Publication
Stakeholder Engagement
Strategic Planning
Team Collaboration
Technical Strategy
Technical Writing
TensorFlow
Vision Setting
RAGAS
AI Accountability Standards
AI Bias Identification
AI Ethics Assessment
AI Ethics Principles
AI Governance
AI Governance Frameworks
AI Policy Analysis
AI Policy Understanding
AI Risk Assessment
AI Safety
AI Safety Protocols
AI System Auditing
AI Transparency Tools
Advanced AI Safety Techniques
Adversarial Machine Learning
Algorithmic Transparency
Architecture Design
Basic Knowledge of AI Alignment
Basic Knowledge of AI Robustness
Complex Systems Design
Critical Thinking
Data Analysis
Data Privacy
Data Privacy Regulations
Distributed Systems
Enterprise Architecture
Ethical AI Design
Ethical Decision Making
Ethical Frameworks
Explainability (SHAP/LIME)
Fairness Metrics
Guardrails AI
Hugging Face
Human-AI Interaction Safety
Impact Assessment
LLM Red Teaming
MITRE ATLAS
Machine Learning Basics
Model Security
OWASP Top 10 for LLMs
Performance Optimization
PyTorch
Python
Research Methodologies
Responsible AI
Responsible AI Frameworks
Risk Assessment
Safety Testing Methods
Safety Verification Techniques
Standards Setting
Statistical Analysis
System Design Basics
Technical Strategy
Threat Modeling
MITRE
ATLAS
AI Ethics Workshops
Agile Methodology
Basic Knowledge of AI Safety
Basic Programming Concepts
Budget Management
Cloud Computing
Collaborative Research
Communication Skills
Conflict Resolution
Cross-Functional Leadership
Cross-Functional Teamwork
Data Visualization
Deep Learning Techniques
Documentation Skills
Ethical AI Frameworks
Ethics in Technology
Git
JIRA
Mentoring Skills
Networking Skills
Organizational Strategy
Policy Advocacy
Presentation Skills
Problem Solving
Public Speaking
Research Publication
Stakeholder Engagement
Strategic Planning
Team Collaboration
Technical Strategy
Technical Writing
TensorFlow
Vision Setting
Mlops Engineer
ONSITE
Delhi, Delhi, India
Join our team as an Mlops Engineer and take on the critical role of leading complex technical initiatives within the IT industry. In this position, you will be instrumental in driving architectural decisions, mentoring teams, and building scalable solutions that set industry standards. Your expertise will help shape the future of our engineering organization and influence the development of high-impact projects. Responsibilities
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A/B Testing
API Development
AWS
AWS SageMaker
Advanced SQL
Architectural Design
Azure Machine Learning
Big Data Technologies
CI/CD
Cloud Cost Optimization
Configuration Management
Cross-Functional Collaboration
Data Drift
Data Governance
Data Pipelines
Data Preprocessing
Data Privacy Regulations
Django
Docker
End-to-End ML Lifecycle
Git
Google Vertex AI
Grafana
Infrastructure as Code
Jupyter Notebooks
Kubeflow
Kubernetes
Logging and Monitoring
ML Model Deployment
MLOps
MLOps Frameworks
MLOps Strategy Development
MLflow
Machine Learning Workflow
Mentoring
Model Monitoring
Model Monitoring Tools
Model Optimization
Model Performance Metrics
Model Versioning
Monitoring Tools
Performance Tuning
PostgreSQL
Prometheus
Python
Security Best Practices
Technical Leadership
TensorFlow
Terraform
Test Automation
Version Control Systems
Data Drift,
Advanced Communication Skills
Advanced Data Pipelines
Agile Methodology
Apache Airflow
Business Intelligence (BI)
Business Process Mapping
Change Management
CloudFormation
Data Lake Solutions
Data Modeling
Data Quality Assurance
Distributed Systems
Flask
GraphQL
Kubernetes
Lean Methodology
Process Automation
Scrum
Stakeholder Engagement
Stakeholder Management
Team Leadership
Technical Documentation
User Experience (UX)
Visualization Tools
A/B Testing
API Development
AWS
AWS SageMaker
Advanced SQL
Architectural Design
Azure Machine Learning
Big Data Technologies
CI/CD
Cloud Cost Optimization
Configuration Management
Cross-Functional Collaboration
Data Drift
Data Governance
Data Pipelines
Data Preprocessing
Data Privacy Regulations
Django
Docker
End-to-End ML Lifecycle
Git
Google Vertex AI
Grafana
Infrastructure as Code
Jupyter Notebooks
Kubeflow
Kubernetes
Logging and Monitoring
ML Model Deployment
MLOps
MLOps Frameworks
MLOps Strategy Development
MLflow
Machine Learning Workflow
Mentoring
Model Monitoring
Model Monitoring Tools
Model Optimization
Model Performance Metrics
Model Versioning
Monitoring Tools
Performance Tuning
PostgreSQL
Prometheus
Python
Security Best Practices
Technical Leadership
TensorFlow
Terraform
Test Automation
Version Control Systems
Data Drift,
Advanced Communication Skills
Advanced Data Pipelines
Agile Methodology
Apache Airflow
Business Intelligence (BI)
Business Process Mapping
Change Management
CloudFormation
Data Lake Solutions
Data Modeling
Data Quality Assurance
Distributed Systems
Flask
GraphQL
Kubernetes
Lean Methodology
Process Automation
Scrum
Stakeholder Engagement
Stakeholder Management
Team Leadership
Technical Documentation
User Experience (UX)
Visualization Tools
MLOps Lead
ONSITE
Delhi, Delhi, India
As an MLOps Lead in the IT industry, you will be at the forefront of driving transformational change within our engineering organization. This role involves leading complex initiatives, building world-class systems, and establishing technical standards that define our competitive advantage. You will play a crucial role in shaping the future of our engineering practices and ensuring the successful deployment of machine learning models in production environments. Responsibilities - Define and execute a multi-year technical strategy that aligns with the overall goals of the engineering organization. - Lead the architecture and design of mission-critical systems that support millions of users, ensuring scalability and reliability. - Drive the adoption of emerging technologies and establish engineering standards across multiple teams to enhance productivity and innovation. - Collaborate with C-level executives to align product roadmaps with technical feasibility assessments and strategic initiatives. - Oversee major technical initiatives, including platform modernization, scalability projects, and system migrations, ensuring timely delivery and quality. - Build and scale high-performing engineering teams through effective hiring, mentoring, and process optimization. - Represent the company at industry conferences, open-source communities, and technical advisory boards, showcasing our innovations and thought leadership. Ways of Working You will work onsite in Delhi, Delhi, India, in a dynamic and collaborative environment. This role requires strong technical leadership and the ability to communicate effectively across various levels of the organization. You will be expected to drive innovation while ensuring alignment with business objectives. Collaboration & Communication You will partner with various stakeholders, including product managers, data scientists, and business leaders, to ensure a cohesive approach to project delivery. Effective communication will be vital in presenting technical concepts to non-technical audiences and influencing decision-making at all levels. Growth Signals This role offers significant opportunities for professional development and career advancement. As a technical leader, you will have the chance to shape the engineering culture, mentor junior engineers, and influence the technical direction of the organization. Your contributions will be recognized through performance evaluations and potential promotions based on your impact on the business. Must-Haves
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AI Production Systems
AWS SageMaker
Apache Airflow
Azure Machine Learning
Budget Planning
CI/CD
Change Leadership
Cloud Cost Optimization
Company-wide MLOps Impact
Compliance Standards
Continuous Improvement
Crisis Management
Cross-Functional Collaboration
Cross-Team Integration
Data Privacy Regulations
Data Strategy
Docker
Enterprise MLOps Solutions
Executive Communication
Executive Presence
Google Vertex AI
Helm
High-Level Stakeholder Engagement
Infrastructure as Code
KServe
Kubeflow
Kubernetes
MLOps
MLOps Best Practices
MLOps Strategy Development
MLflow
Mentoring
Model Governance
Model Monitoring
Organizational Change
Organizational Leadership
Performance Management
Python
Risk Management
Scalable Architecture
Strategic Planning
Technical Consulting
Technical Leadership
Technical Roadmap Development
Terraform
Thought Leadership
Vendor Management
MLOps, MLflow, Kubeflow, Kubernetes, Docker, CI/CD, Terraform, Apache Airflow, Python, AWS SageMaker, Azure Machine Learning, Google Vertex AI, Infrastructure as Code, Model Governance, Model Monitoring, KServe, Helm
Advanced Data Pipelines
Board Communication
Business Strategy Alignment
Cloud Architecture
Corporate Governance
Data Ethics
Data Quality Assurance
Global Market Trends
Industry Standards Compliance
Innovation Management
Innovation Strategy
Market Analysis
Networking Skills
Organizational Design
Research and Development
Resource Allocation
Stakeholder Engagement
Strategic Partnerships
Sustainability Initiatives
User Experience (UX)
AI Production Systems
AWS SageMaker
Apache Airflow
Azure Machine Learning
Budget Planning
CI/CD
Change Leadership
Cloud Cost Optimization
Company-wide MLOps Impact
Compliance Standards
Continuous Improvement
Crisis Management
Cross-Functional Collaboration
Cross-Team Integration
Data Privacy Regulations
Data Strategy
Docker
Enterprise MLOps Solutions
Executive Communication
Executive Presence
Google Vertex AI
Helm
High-Level Stakeholder Engagement
Infrastructure as Code
KServe
Kubeflow
Kubernetes
MLOps
MLOps Best Practices
MLOps Strategy Development
MLflow
Mentoring
Model Governance
Model Monitoring
Organizational Change
Organizational Leadership
Performance Management
Python
Risk Management
Scalable Architecture
Strategic Planning
Technical Consulting
Technical Leadership
Technical Roadmap Development
Terraform
Thought Leadership
Vendor Management
MLOps, MLflow, Kubeflow, Kubernetes, Docker, CI/CD, Terraform, Apache Airflow, Python, AWS SageMaker, Azure Machine Learning, Google Vertex AI, Infrastructure as Code, Model Governance, Model Monitoring, KServe, Helm
Advanced Data Pipelines
Board Communication
Business Strategy Alignment
Cloud Architecture
Corporate Governance
Data Ethics
Data Quality Assurance
Global Market Trends
Industry Standards Compliance
Innovation Management
Innovation Strategy
Market Analysis
Networking Skills
Organizational Design
Research and Development
Resource Allocation
Stakeholder Engagement
Strategic Partnerships
Sustainability Initiatives
User Experience (UX)
Business Analyst
ONSITE
Delhi, Delhi, India
As a Business Analyst in the IT industry, you will play a pivotal role in driving transformative projects that enhance our operational efficiencies and support strategic decision-making. Your expertise will be essential in analyzing business needs, gathering requirements, and delivering actionable insights that align with our organizational goals. You will work closely with cross-functional teams, ensuring that our technological solutions effectively meet the demands of our business landscape. Principal Responsibilities
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Acceptance Criteria
Advanced Data Analytics
Advanced Data Modeling
Advanced Excel
Agile
Agile Methodology
BPMN
Basic ERP Knowledge
Basic SQL
Basic SQL Queries
Business Analysis
Business Architecture
Business Process Automation
Business Process Mapping
Business Process Reengineering
CI/CD Basics
Change Management
Complex Problem Solving
Confluence
Cross-Functional Collaboration
Data Analysis
Data Modeling
Database Design
Documentation Skills
Enterprise Architecture
Functional Requirements Analysis
JIRA
Microservices
Microsoft Excel
Oracle Cloud Basics
Oracle EBS Basics
Oracle ERP Modules
Oracle PL/SQL
Org-wide Strategy
Power BI
Problem Solving
Process Improvement
Process Mapping
Requirements Gathering
SAP Analytics Implementation
SAP Business Blueprinting
SAP Business Process Design
SAP Configuration
SAP ERP Basics
SAP FI/CO Fundamentals
SAP MM Fundamentals
SAP S/4HANA Knowledge
SAP SD Fundamentals
SQL
SQL Basics
Scrum
Stakeholder Communication
Stakeholder Management
Standards Setting
Strategic Planning
System Design Basics
System Integration
Tableau
Tech Leadership
Technical Documentation
UAT
User Acceptance Testing
User Acceptance Testing (UAT)
User Stories
Business Analysis, Requirements Gathering, Process Mapping, BPMN, User Stories, Acceptance Criteria, SQL, Advanced Excel, Power BI, Tableau, Agile, Scrum, UAT, Confluence, Jira, Data Analysis
Agile Methodology
Business Case Development
Business Intelligence Tools
Business Process Modeling Notation (BPMN)
Business Process Reengineering
Change Management
Cloud Migration
Confluence
Cross-functional Collaboration
Data Governance
Data Visualization
Excel Proficiency
Executive Communication
JIRA
Market Research
Mentoring Skills
Microsoft Excel
Microsoft Power Automate
Oracle Fusion
Organizational Change Management
Performance Metrics
Power BI
Presentation Skills
Problem Solving
Process Automation
Process Improvement
Process Mining
Requirements Analysis
Risk Assessment
Risk Management
SAP Analytics Cloud
SAP Fiori
SAP Integration Suite
SAP SD Basics
SAP Solution Manager
SQL Fundamentals
Strategic Planning
Tableau
Team Collaboration
User Experience Design
User Story Development
Acceptance Criteria
Advanced Data Analytics
Advanced Data Modeling
Advanced Excel
Agile
Agile Methodology
BPMN
Basic ERP Knowledge
Basic SQL
Basic SQL Queries
Business Analysis
Business Architecture
Business Process Automation
Business Process Mapping
Business Process Reengineering
CI/CD Basics
Change Management
Complex Problem Solving
Confluence
Cross-Functional Collaboration
Data Analysis
Data Modeling
Database Design
Documentation Skills
Enterprise Architecture
Functional Requirements Analysis
JIRA
Microservices
Microsoft Excel
Oracle Cloud Basics
Oracle EBS Basics
Oracle ERP Modules
Oracle PL/SQL
Org-wide Strategy
Power BI
Problem Solving
Process Improvement
Process Mapping
Requirements Gathering
SAP Analytics Implementation
SAP Business Blueprinting
SAP Business Process Design
SAP Configuration
SAP ERP Basics
SAP FI/CO Fundamentals
SAP MM Fundamentals
SAP S/4HANA Knowledge
SAP SD Fundamentals
SQL
SQL Basics
Scrum
Stakeholder Communication
Stakeholder Management
Standards Setting
Strategic Planning
System Design Basics
System Integration
Tableau
Tech Leadership
Technical Documentation
UAT
User Acceptance Testing
User Acceptance Testing (UAT)
User Stories
Business Analysis, Requirements Gathering, Process Mapping, BPMN, User Stories, Acceptance Criteria, SQL, Advanced Excel, Power BI, Tableau, Agile, Scrum, UAT, Confluence, Jira, Data Analysis
Agile Methodology
Business Case Development
Business Intelligence Tools
Business Process Modeling Notation (BPMN)
Business Process Reengineering
Change Management
Cloud Migration
Confluence
Cross-functional Collaboration
Data Governance
Data Visualization
Excel Proficiency
Executive Communication
JIRA
Market Research
Mentoring Skills
Microsoft Excel
Microsoft Power Automate
Oracle Fusion
Organizational Change Management
Performance Metrics
Power BI
Presentation Skills
Problem Solving
Process Automation
Process Improvement
Process Mining
Requirements Analysis
Risk Assessment
Risk Management
SAP Analytics Cloud
SAP Fiori
SAP Integration Suite
SAP SD Basics
SAP Solution Manager
SQL Fundamentals
Strategic Planning
Tableau
Team Collaboration
User Experience Design
User Story Development
AI Quality Assurance Engineer
ONSITE
Delhi, Delhi, India
As an AI Quality Assurance Engineer, you will play a pivotal role in ensuring the delivery of high-quality software products in the IT industry. You will engage in various testing activities, working closely with development teams to validate AI-driven solutions. Your expertise will contribute to enhancing product reliability and user satisfaction. Responsibilities
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AI Testing
API Testing
Bias Detection
CI/CD
Data Quality
ETL Testing
Jira
Load Testing
Model Validation
Postman
Pytest
Selenium
Test Automation
AI Testing, Model Validation, Test Automation, Python, SQL, Selenium, Pytest, Postman, API Testing, ETL Testing, Performance Testing, Load Testing, Bias Detection, Data Quality, CI/CD, Jira, TestRail
Rest
Microservices
Agile Methodology
Automated Testing
Data Analysis
Defect Tracking
JIRA
Machine Learning Concepts
Mentoring Juniors
Performance Testing
Python
Quality Metrics
Requirements Gathering
Risk Assessment
SQL
Test Case Design
Test Strategy Development
API Testing
Advanced Data Analysis
Cloud Testing (AWS)
Confluence
Data Engineering Basics
Data Profiling
Excel
Scrum
TensorFlow
User Acceptance Testing (UAT)
AI Testing
API Testing
Bias Detection
CI/CD
Data Quality
ETL Testing
Jira
Load Testing
Model Validation
Postman
Pytest
Selenium
Test Automation
AI Testing, Model Validation, Test Automation, Python, SQL, Selenium, Pytest, Postman, API Testing, ETL Testing, Performance Testing, Load Testing, Bias Detection, Data Quality, CI/CD, Jira, TestRail
Rest
Microservices
Agile Methodology
Automated Testing
Data Analysis
Defect Tracking
JIRA
Machine Learning Concepts
Mentoring Juniors
Performance Testing
Python
Quality Metrics
Requirements Gathering
Risk Assessment
SQL
Test Case Design
Test Strategy Development
API Testing
Advanced Data Analysis
Cloud Testing (AWS)
Confluence
Data Engineering Basics
Data Profiling
Excel
Scrum
TensorFlow
User Acceptance Testing (UAT)
Product Manager – AI
ONSITE
Delhi, Delhi, India
We are seeking a talented Product Manager – AI to join our team in the Information Technology industry. This role will focus on leading AI-driven product initiatives, ensuring they align with business objectives and deliver exceptional value to our customers. The successful candidate will work closely with cross-functional teams to drive product strategy and execution, contributing to the overall growth and success of our projects. Responsibilities
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AI Product Management
AWS Bedrock
Agile Product Management
Azure OpenAI
Company-wide Strategic Vision
Conversational AI
Data Analytics
Disruptive Innovation
Executive Presence
Generative AI
Google Vertex AI
Industry Transformation Leadership
LLMs
Long-term Financial Planning
MLOps
Power BI
Product Strategy
Python
RAG
SQL
Sustainability Strategies
AI Product Management, Generative AI, LLMs, MLOps, Agile Product Management, SQL, Power BI, Python, AWS Bedrock, Azure OpenAI, Google Vertex AI, RAG, Conversational AI, Data Analytics, Product Strategy
Future Trends Analysis
Digital Transformation Leadership
Human-Centered Design
Global Business Strategy
AI Research Collaboration
AI Product Management
AWS Bedrock
Agile Product Management
Azure OpenAI
Company-wide Strategic Vision
Conversational AI
Data Analytics
Disruptive Innovation
Executive Presence
Generative AI
Google Vertex AI
Industry Transformation Leadership
LLMs
Long-term Financial Planning
MLOps
Power BI
Product Strategy
Python
RAG
SQL
Sustainability Strategies
AI Product Management, Generative AI, LLMs, MLOps, Agile Product Management, SQL, Power BI, Python, AWS Bedrock, Azure OpenAI, Google Vertex AI, RAG, Conversational AI, Data Analytics, Product Strategy
Future Trends Analysis
Digital Transformation Leadership
Human-Centered Design
Global Business Strategy
AI Research Collaboration
AI Solution Architect
ONSITE
Delhi, Delhi, India
We are seeking an experienced AI Solution Architect with a strong background in the IT industry. This role focuses on designing and implementing AI solutions that drive innovation and efficiency within our organization. The ideal candidate will have a proven track record of developing scalable AI architectures and collaborating with cross-functional teams to enhance business outcomes. Responsibilities
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AI Ecosystem Integration
AI Policy Advocacy
AI Policy Development
AI Solution Architecture
AI and Data Ecosystem Leadership
API Integration
AWS Bedrock
Amazon SageMaker
Azure OpenAI Service
C-Suite Collaboration
Company-wide AI Initiatives
Corporate Strategy Development
Cultural Change Management
DPDPA Compliance
Data Governance
Distributed Systems
Enterprise Architecture Frameworks
Executive Leadership
Executive Networking
Global Project Management
Google Cloud Vertex AI
Hugging Face
Industry Disruption Management
Industry Thought Leadership
Influence and Advocacy
LLM Orchestration
Long-term Innovation Planning
MLOps
Microservices Architecture
Organizational Influence
PyTorch
Python
RAG
Resource Allocation
Strategic Alliances
Strategic Partnerships
Strategic Roadmap Development
TensorFlow
Transformational Leadership
Transformational Vision
Vector Databases
Visionary Strategy
AI Solution Architecture, LLM Orchestration, RAG, Vector Databases, Python, PyTorch, TensorFlow, Hugging Face, AWS Bedrock, Amazon SageMaker, Azure OpenAI Service, Google Cloud Vertex AI, Microservices Architecture, API Integration, Distributed Systems, MLOps, Data Governance, DPDPA Compliance
AI Ethics Frameworks
AI Investment Strategies
Advanced Risk Mitigation
Board Communication
Change Acceleration
Corporate Governance
Corporate Social Responsibility
Data Ethics
Executive Coaching
Financial Forecasting
Future-focused Strategy
Global AI Standards
High-stakes Negotiations
Industry Standards
Innovation Strategy
Leadership Development Programs
Market Positioning
Organizational Resilience
Public Relations
Sustainability in AI
AI Ecosystem Integration
AI Policy Advocacy
AI Policy Development
AI Solution Architecture
AI and Data Ecosystem Leadership
API Integration
AWS Bedrock
Amazon SageMaker
Azure OpenAI Service
C-Suite Collaboration
Company-wide AI Initiatives
Corporate Strategy Development
Cultural Change Management
DPDPA Compliance
Data Governance
Distributed Systems
Enterprise Architecture Frameworks
Executive Leadership
Executive Networking
Global Project Management
Google Cloud Vertex AI
Hugging Face
Industry Disruption Management
Industry Thought Leadership
Influence and Advocacy
LLM Orchestration
Long-term Innovation Planning
MLOps
Microservices Architecture
Organizational Influence
PyTorch
Python
RAG
Resource Allocation
Strategic Alliances
Strategic Partnerships
Strategic Roadmap Development
TensorFlow
Transformational Leadership
Transformational Vision
Vector Databases
Visionary Strategy
AI Solution Architecture, LLM Orchestration, RAG, Vector Databases, Python, PyTorch, TensorFlow, Hugging Face, AWS Bedrock, Amazon SageMaker, Azure OpenAI Service, Google Cloud Vertex AI, Microservices Architecture, API Integration, Distributed Systems, MLOps, Data Governance, DPDPA Compliance
AI Ethics Frameworks
AI Investment Strategies
Advanced Risk Mitigation
Board Communication
Change Acceleration
Corporate Governance
Corporate Social Responsibility
Data Ethics
Executive Coaching
Financial Forecasting
Future-focused Strategy
Global AI Standards
High-stakes Negotiations
Industry Standards
Innovation Strategy
Leadership Development Programs
Market Positioning
Organizational Resilience
Public Relations
Sustainability in AI
ML Research Lead
REMOTE
As an ML Research Lead, you will be at the forefront of driving innovation in the Information Technology industry. Your role will involve steering research initiatives and developing machine learning strategies that align with the project goals. This position is crucial for translating complex data into actionable insights, fostering a culture of continuous improvement and excellence in AI research. Responsibilities
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post-trained
released an open model
hands-on SFT
DPO
RLHF
open-weights base
public artifact
Advising Executive Leadership
Board-Level Engagement
Building Global Research Networks
Change Leadership
Corporate Strategy Alignment
Cross-Functional Program Management
Defining Future Research Directions
Defining Research Excellence Standards
Driving Innovation Culture
Driving Organizational Change
Establishing Industry Leadership
Establishing Research Culture
Executive Stakeholder Engagement
Global Research Influence
Global Research Initiatives Management
Global Research Policies
Industry Benchmarking
Industry Standards Development
Influencing Public Policy
Leading Major Research Initiatives
Legacy Building
Long-Term Organizational Impact
Long-term Strategic Planning
Mentorship Programs
P&L Accountability
Research Ecosystem Development
Research Impact Measurement
Setting Research Priorities
Strategic Partnerships Development
Strategic Vision Communication
Sustainable Research Practices
Transformational Change Leadership
Transformational Leadership
Transforming Research Landscape
Vision Setting for Research
Visionary Research Strategy
Education / tutoring experience with LLMs
Mathematics
Alignment / behavior tuning
Experience releasing under permissive open licenses
Familiarity with the OLMo / Tülu open post-training stack
AI for Social Good
Advanced AI Ethics
Advanced Algorithmic Fairness
Advanced Research Metrics
Automation Tools
Corporate Governance
Corporate Philanthropy
Corporate Social Responsibility
Cross-Cultural Leadership
Cross-Industry Collaborations
Data Privacy Standards
Data-Driven Decision Making
Emerging Technologies
Enterprise Resource Planning (ERP)
Expansion into Emerging Markets
Funding Acquisition Strategies
Global Compliance Standards
Global Research Community Leadership
Global Research Initiatives
Innovative Research Frameworks
Interdisciplinary Approaches
JIRA for Research Projects
Major Policy Influence
Mergers and Acquisitions
Organizational Change Management
Organizational Resilience
Public Speaking
Research Impact Strategy
Setting Industry Standards
Thought Leadership Publications
post-trained
released an open model
hands-on SFT
DPO
RLHF
open-weights base
public artifact
Advising Executive Leadership
Board-Level Engagement
Building Global Research Networks
Change Leadership
Corporate Strategy Alignment
Cross-Functional Program Management
Defining Future Research Directions
Defining Research Excellence Standards
Driving Innovation Culture
Driving Organizational Change
Establishing Industry Leadership
Establishing Research Culture
Executive Stakeholder Engagement
Global Research Influence
Global Research Initiatives Management
Global Research Policies
Industry Benchmarking
Industry Standards Development
Influencing Public Policy
Leading Major Research Initiatives
Legacy Building
Long-Term Organizational Impact
Long-term Strategic Planning
Mentorship Programs
P&L Accountability
Research Ecosystem Development
Research Impact Measurement
Setting Research Priorities
Strategic Partnerships Development
Strategic Vision Communication
Sustainable Research Practices
Transformational Change Leadership
Transformational Leadership
Transforming Research Landscape
Vision Setting for Research
Visionary Research Strategy
Education / tutoring experience with LLMs
Mathematics
Alignment / behavior tuning
Experience releasing under permissive open licenses
Familiarity with the OLMo / Tülu open post-training stack
AI for Social Good
Advanced AI Ethics
Advanced Algorithmic Fairness
Advanced Research Metrics
Automation Tools
Corporate Governance
Corporate Philanthropy
Corporate Social Responsibility
Cross-Cultural Leadership
Cross-Industry Collaborations
Data Privacy Standards
Data-Driven Decision Making
Emerging Technologies
Enterprise Resource Planning (ERP)
Expansion into Emerging Markets
Funding Acquisition Strategies
Global Compliance Standards
Global Research Community Leadership
Global Research Initiatives
Innovative Research Frameworks
Interdisciplinary Approaches
JIRA for Research Projects
Major Policy Influence
Mergers and Acquisitions
Organizational Change Management
Organizational Resilience
Public Speaking
Research Impact Strategy
Setting Industry Standards
Thought Leadership Publications