2,623 Generative AI jobs in India
Generative AI
Posted today
Job Viewed
Job Description
**Primary Responsibilities:**
+ Collaborate closely with the data science, business, and strategy teams on one or more DS/ML projects throughout the engagement lifecycle, from design to implementation
+ Demonstrate a solid sense of project ownership
+ Ensure timely and effective communication with business partners and leaders
+ Deliver engagements promptly and with high quality, requiring minimal supervision
+ Partner with business teams to operationalize analytics solutions
+ Communicate with business partners on all critical project functions, including data understanding and solution design
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Master's degree in Computer Science, Engineering, Statistics, or a related field preferred
+ 5+ years of experience working with large-scale data/ML pipelines and their supporting infrastructure
+ Experience with Natural Language Processing (NLP) and Large Language Models (LLMs)
+ Experience deploying ML solutions on cloud platforms, preferably AWS (AWS services such as SageMaker, Bedrock, Glue)
+ Experience building LLM models using the RAG framework and AI Agents, and deploying LLM applications in production
+ Solid background in machine learning and statistics
+ Solid foundation in data structures and algorithms
+ Proficient software engineering skills
+ Proficiency in Python for numerical and statistical programming (experience with Pandas, NumPy, Scikit-learn, PyTorch is essential)
+ Ability to write complex SQL queries
+ Knowledge of A/B test design and analysis
+ Proven track record of leading the deployment and maintenance of models
+ Proven excellent interpersonal and teamwork skills
+ Solid written and verbal communication skills
+ Proven exceptional problem-solving abilities
+ Professional, service-oriented, proactive, and flexible mindset
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
Generative Ai
Posted today
Job Viewed
Job Description
Location - No Location Constraint
JD - Please find the skills we are looking for.
Technical Skills:
- Advance Proficiency in Python programming.
- Design and develop prompt engineering techniques to optimize GenAI performance.
- Evaluate and select appropriate models, frameworks, and techniques for GenAI use case.
- Hands-on experience with frameworks such as Lang chain or llama Index.
- Knowledge of Streamlit and Fastapi.
- Familiarity in foundation models in AWS or Azure
Soft Skills:
- Strong communication and collaboration abilities.
Strategic thinking and problem-solving
**Job Types**: Part-time, Freelance
Contract length: 6 months
Pay: ₹80,000.00 - ₹150,000.00 per month
Expected hours: 40 per week
**Benefits**:
- Health insurance
- Provident Fund
- Work from home
Schedule:
- Day shift
- Evening shift
- Fixed shift
- Monday to Friday
- Morning shift
- UK shift
- US shift
Supplemental pay types:
- Overtime pay
Application Question(s):
- Are you able to Design and develop prompt engineering techniques to optimize GenAI performance?
**Experience**:
- total work: 6 years (required)
Work Location: Remote
SENIOR Generative AI Engineer/GENERATIVE AI ARCHITECT
Posted today
Job Viewed
Job Description
As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.
Key Responsibilities
- AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.
- Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).
- Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.
- Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).
- Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.
- System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.
- Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.
Required Skills & Qualifications
- Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.
- Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).
- Strong background in autonomous agents, multi-agent systems, and AI optimization.
- Experience with LangChain, AutoGPT, or similar frameworks is a plus.
- Ability to translate research into production-ready architectures.
- Excellent communication and leadership skills.
About Us
CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.
Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!
Website:
Benefits
- Competitive salary and performance incentives.
- Be part of the Core Team in a fast-growing, innovative company.
- Fulfilling & challenging work with real impact on the product.
- Unlimited growth opportunities – professionally and personally.
SENIOR Generative AI Engineer/GENERATIVE AI ARCHITECT
Posted today
Job Viewed
Job Description
As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.
Key Responsibilities
- AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.
- Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).
- Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.
- Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).
- Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.
- System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.
- Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.
Required Skills & Qualifications
- Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.
- Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).
- Strong background in autonomous agents, multi-agent systems, and AI optimization.
- Experience with LangChain, AutoGPT, or similar frameworks is a plus.
- Ability to translate research into production-ready architectures.
- Excellent communication and leadership skills.
About Us
CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.
Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!
Website:
Benefits
- Competitive salary and performance incentives.
- Be part of the Core Team in a fast-growing, innovative company.
- Fulfilling & challenging work with real impact on the product.
- Unlimited growth opportunities – professionally and personally.
SENIOR Generative AI Engineer/GENERATIVE AI ARCHITECT
Posted today
Job Viewed
Job Description
Key Responsibilities
AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.
Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).
Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.
Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).
Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.
System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.
Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.
Required Skills & Qualifications
Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.
Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).
Strong background in autonomous agents, multi-agent systems, and AI optimization.
Experience with LangChain, AutoGPT, or similar frameworks is a plus.
Ability to translate research into production-ready architectures.
Excellent communication and leadership skills.
About Us
CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.
Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!
Website:
Benefits
Competitive salary and performance incentives.
Be part of the Core Team in a fast-growing, innovative company.
Fulfilling & challenging work with real impact on the product.
Unlimited growth opportunities – professionally and personally.
SENIOR Generative AI Engineer/GENERATIVE AI ARCHITECT
Posted today
Job Viewed
Job Description
As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.
Key Responsibilities
- AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.
- Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).
- Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.
- Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).
- Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.
- System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.
- Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.
Required Skills & Qualifications
- Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.
- Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).
- Strong background in autonomous agents, multi-agent systems, and AI optimization.
- Experience with LangChain, AutoGPT, or similar frameworks is a plus.
- Ability to translate research into production-ready architectures.
- Excellent communication and leadership skills.
About Us
CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.
Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!
Website:
Benefits
- Competitive salary and performance incentives.
- Be part of the Core Team in a fast-growing, innovative company.
- Fulfilling & challenging work with real impact on the product.
- Unlimited growth opportunities – professionally and personally.
SENIOR Generative AI Engineer/GENERATIVE AI ARCHITECT
Posted today
Job Viewed
Job Description
As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.
Key Responsibilities
- AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.
- Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).
- Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.
- Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).
- Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.
- System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.
- Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.
Required Skills & Qualifications
- Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.
- Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).
- Strong background in autonomous agents, multi-agent systems, and AI optimization.
- Experience with LangChain, AutoGPT, or similar frameworks is a plus.
- Ability to translate research into production-ready architectures.
- Excellent communication and leadership skills.
About Us
CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.
Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!
Website:
Benefits
- Competitive salary and performance incentives.
- Be part of the Core Team in a fast-growing, innovative company.
- Fulfilling & challenging work with real impact on the product.
- Unlimited growth opportunities – professionally and personally.
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SENIOR Generative AI Engineer/GENERATIVE AI ARCHITECT
Posted 6 days ago
Job Viewed
Job Description
As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI.
Key Responsibilities
- AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making.
- Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks).
- Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen.
- Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation).
- Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability.
- System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards.
- Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation.
Required Skills & Qualifications
- Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks.
- Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI).
- Strong background in autonomous agents, multi-agent systems, and AI optimization.
- Experience with LangChain, AutoGPT, or similar frameworks is a plus.
- Ability to translate research into production-ready architectures.
- Excellent communication and leadership skills.
About Us
CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment.
Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology!
Website:
Benefits
- Competitive salary and performance incentives.
- Be part of the Core Team in a fast-growing, innovative company.
- Fulfilling & challenging work with real impact on the product.
- Unlimited growth opportunities – professionally and personally.