340 AI Research jobs in Hyderabad
Senior AI Research & Development Engineer
Posted today
Job Viewed
Job Description
TL;DR : This role blends deep, publishable AI research with hands-on system development , ensuring you can conduct research, build, validate, and ship groundbreaking AI capabilities end‑to‑end.
You're a bridge between science and software. You’ll innovate on LLMs, prompt systems, evaluation frameworks, and algorithm pipelines—and bring them to production-grade systems that power real users. Expect to author experimental prototypes rich enough for academic-quality write-ups, then productize those same ideas into robust, reliable software.
Research Prototyping
- Tackle experiments in LLM training, LLM agent architectures, fine tuning, RL, and new evaluation methodologies.
- Build code-first prototypes to test hypotheses and iterate rapidly—refactor them into production systems when experiments succeed.
Model & Architecture Innovation
- Develop and benchmark improvements in LLM architecture, fine‑tuning workflows, and generation control.
- Optimize for performance, resource efficiency, and interpretability.
Production Engineering
- Own infrastructure: from data pipelines and experiment sandbox to model serving, batch/online inference, logging, and CI/CD.
- Treat experiments as software: automated tests, clear versioning, reproducibility, and documentation.
Scientific Experiment Tooling
- Create frameworks to automate scientific cycles: data generation, metric computation, model comparison dashboards.
- Enable internal teams to run reproducible experiments at scale.
Knowledge Sharing & Publication
- Write up interesting findings—internal memos, tech blogs, or scholarship-worthy results.
- Participate in code and science critique sessions with peers.
Master’s or Ph.D. in CS, ML, or related (or equivalent experience)
- Deep familiarity with LLMs, fine‑tuning, reinforcment learning.
- Expert in Python + frameworks like PyTorch or JAX; experience with Hugging Face or deployed LLM APIs
- Strong software engineering intuition: modular design, CI/CD, containerization, automated testing
- Demonstrated track record in both research and production settings (e.g., prototypes published internally or externally)
- Bonus: familiarity with Kubernetes, JAX compiler stacks (e.g. Flax, Alpa), Hugging Face Accelerate, or MLOps toolchains
Research Innovation
Prototypes demonstrating clear scientific advances (e.g. better evaluation metrics or prompt robustness). Papers submitted or draft-ready internal research docs.
Engineering Quality & Velocity
Experimental pipelines and prototypes are production-ready within sprint cycles; clean codebases, smooth deployments, few bugs.
System Impact & Use
R&D code drives real product features—high user adoption, improved reliability or performance.
Senior AI Research & Development Engineer
Posted 4 days ago
Job Viewed
Job Description
TL;DR : This role blends deep, publishable AI research with hands-on system development , ensuring you can conduct research, build, validate, and ship groundbreaking AI capabilities end‑to‑end.
You're a bridge between science and software. You’ll innovate on LLMs, prompt systems, evaluation frameworks, and algorithm pipelines—and bring them to production-grade systems that power real users. Expect to author experimental prototypes rich enough for academic-quality write-ups, then productize those same ideas into robust, reliable software.
Research Prototyping
- Tackle experiments in LLM training, LLM agent architectures, fine tuning, RL, and new evaluation methodologies.
- Build code-first prototypes to test hypotheses and iterate rapidly—refactor them into production systems when experiments succeed.
Model & Architecture Innovation
- Develop and benchmark improvements in LLM architecture, fine‑tuning workflows, and generation control.
- Optimize for performance, resource efficiency, and interpretability.
Production Engineering
- Own infrastructure: from data pipelines and experiment sandbox to model serving, batch/online inference, logging, and CI/CD.
- Treat experiments as software: automated tests, clear versioning, reproducibility, and documentation.
Scientific Experiment Tooling
- Create frameworks to automate scientific cycles: data generation, metric computation, model comparison dashboards.
- Enable internal teams to run reproducible experiments at scale.
Knowledge Sharing & Publication
- Write up interesting findings—internal memos, tech blogs, or scholarship-worthy results.
- Participate in code and science critique sessions with peers.
Master’s or Ph.D. in CS, ML, or related (or equivalent experience)
- Deep familiarity with LLMs, fine‑tuning, reinforcment learning.
- Expert in Python + frameworks like PyTorch or JAX; experience with Hugging Face or deployed LLM APIs
- Strong software engineering intuition: modular design, CI/CD, containerization, automated testing
- Demonstrated track record in both research and production settings (e.g., prototypes published internally or externally)
- Bonus: familiarity with Kubernetes, JAX compiler stacks (e.g. Flax, Alpa), Hugging Face Accelerate, or MLOps toolchains
Research Innovation
Prototypes demonstrating clear scientific advances (e.g. better evaluation metrics or prompt robustness). Papers submitted or draft-ready internal research docs.
Engineering Quality & Velocity
Experimental pipelines and prototypes are production-ready within sprint cycles; clean codebases, smooth deployments, few bugs.
System Impact & Use
R&D code drives real product features—high user adoption, improved reliability or performance.
Senior AI Research & Development Engineer
Posted 4 days ago
Job Viewed
Job Description
TL;DR : This role blends deep, publishable AI research with hands-on system development , ensuring you can conduct research, build, validate, and ship groundbreaking AI capabilities end‑to‑end.
You're a bridge between science and software. You’ll innovate on LLMs, prompt systems, evaluation frameworks, and algorithm pipelines—and bring them to production-grade systems that power real users. Expect to author experimental prototypes rich enough for academic-quality write-ups, then productize those same ideas into robust, reliable software.
Research Prototyping
- Tackle experiments in LLM training, LLM agent architectures, fine tuning, RL, and new evaluation methodologies.
- Build code-first prototypes to test hypotheses and iterate rapidly—refactor them into production systems when experiments succeed.
Model & Architecture Innovation
- Develop and benchmark improvements in LLM architecture, fine‑tuning workflows, and generation control.
- Optimize for performance, resource efficiency, and interpretability.
Production Engineering
- Own infrastructure: from data pipelines and experiment sandbox to model serving, batch/online inference, logging, and CI/CD.
- Treat experiments as software: automated tests, clear versioning, reproducibility, and documentation.
Scientific Experiment Tooling
- Create frameworks to automate scientific cycles: data generation, metric computation, model comparison dashboards.
- Enable internal teams to run reproducible experiments at scale.
Knowledge Sharing & Publication
- Write up interesting findings—internal memos, tech blogs, or scholarship-worthy results.
- Participate in code and science critique sessions with peers.
Master’s or Ph.D. in CS, ML, or related (or equivalent experience)
- Deep familiarity with LLMs, fine‑tuning, reinforcment learning.
- Expert in Python + frameworks like PyTorch or JAX; experience with Hugging Face or deployed LLM APIs
- Strong software engineering intuition: modular design, CI/CD, containerization, automated testing
- Demonstrated track record in both research and production settings (e.g., prototypes published internally or externally)
- Bonus: familiarity with Kubernetes, JAX compiler stacks (e.g. Flax, Alpa), Hugging Face Accelerate, or MLOps toolchains
Research Innovation
Prototypes demonstrating clear scientific advances (e.g. better evaluation metrics or prompt robustness). Papers submitted or draft-ready internal research docs.
Engineering Quality & Velocity
Experimental pipelines and prototypes are production-ready within sprint cycles; clean codebases, smooth deployments, few bugs.
System Impact & Use
R&D code drives real product features—high user adoption, improved reliability or performance.
AI Research Lead
Posted today
Job Viewed
Job Description
About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.
Kindly click on the below link to apply:
Responsibilities:
- New AI Tech research
- Publish Periodic AI research paper for Tech Folks
- Publish Period Market Facing AI Research paper
- Experiment with new AI tech
- Help democratize new AI tech to large data science community
People Management:
- Leadership: Strong team management and stakeholder engagement skills, with experience in delivering large-scale AI/ML projects.
- Program management skill – Team & delivery management, Stakeholder and financial mgmt. Strong proficiency in design, development, maintenance, and support of AI systems.
- Technical Expertise: Deep knowledge of AI/ML technologies, including Generative AI, Agent frameworks, Semantic Search, OCR, and Intelligent Automation, with expertise in cloud platforms (Azure, AWS, Google Cloud).
- AI/ML Delivery: Proven experience in AI model development, deployment, and optimization using frameworks like TensorFlow, PyTorch, and scikit-learn.
- Data Science & Analytics: Expertise in statistical analysis, machine learning algorithms, and model validation.
- Tools & Platforms: Proficiency with cloud services, Python for AI/ML, DevOps tools, AI frameworks, and data management (SQL/NoSQL/GraphDB).
Position Specification:
Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply.
️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
AI Research Lead
Posted 13 days ago
Job Viewed
Job Description
About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.
Kindly click on the below link to apply:
Responsibilities:
- New AI Tech research
- Publish Periodic AI research paper for Tech Folks
- Publish Period Market Facing AI Research paper
- Experiment with new AI tech
- Help democratize new AI tech to large data science community
People Management:
- Leadership: Strong team management and stakeholder engagement skills, with experience in delivering large-scale AI/ML projects.
- Program management skill – Team & delivery management, Stakeholder and financial mgmt. Strong proficiency in design, development, maintenance, and support of AI systems.
- Technical Expertise: Deep knowledge of AI/ML technologies, including Generative AI, Agent frameworks, Semantic Search, OCR, and Intelligent Automation, with expertise in cloud platforms (Azure, AWS, Google Cloud).
- AI/ML Delivery: Proven experience in AI model development, deployment, and optimization using frameworks like TensorFlow, PyTorch, and scikit-learn.
- Data Science & Analytics: Expertise in statistical analysis, machine learning algorithms, and model validation.
- Tools & Platforms: Proficiency with cloud services, Python for AI/ML, DevOps tools, AI frameworks, and data management (SQL/NoSQL/GraphDB).
Position Specification:
Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply.
️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
AI Research Lead
Posted 13 days ago
Job Viewed
Job Description
About Firstsource
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.
Kindly click on the below link to apply:
Responsibilities:
- New AI Tech research
- Publish Periodic AI research paper for Tech Folks
- Publish Period Market Facing AI Research paper
- Experiment with new AI tech
- Help democratize new AI tech to large data science community
People Management:
- Leadership: Strong team management and stakeholder engagement skills, with experience in delivering large-scale AI/ML projects.
- Program management skill – Team & delivery management, Stakeholder and financial mgmt. Strong proficiency in design, development, maintenance, and support of AI systems.
- Technical Expertise: Deep knowledge of AI/ML technologies, including Generative AI, Agent frameworks, Semantic Search, OCR, and Intelligent Automation, with expertise in cloud platforms (Azure, AWS, Google Cloud).
- AI/ML Delivery: Proven experience in AI model development, deployment, and optimization using frameworks like TensorFlow, PyTorch, and scikit-learn.
- Data Science & Analytics: Expertise in statistical analysis, machine learning algorithms, and model validation.
- Tools & Platforms: Proficiency with cloud services, Python for AI/ML, DevOps tools, AI frameworks, and data management (SQL/NoSQL/GraphDB).
Position Specification:
Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply.
️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
Agentic AI Research Engineer
Posted 3 days ago
Job Viewed
Job Description
Job Title: Agentic AI Research Engineer
Location: Hyderabad, India
Company: Pranathi Software Services Pvt. Ltd.
Employment Type: Full-Time | On-site/Hybrid
About Us:
Pranathi Software Services Pvt. Ltd. is a leading software product development company with a strong focus on cutting-edge technologies including AI, Machine Learning, and advanced automation. We're now building next-generation intelligent systems powered by Agentic AI and are looking for passionate individuals to join our AI R&D team in Hyderabad.
Required Qualifications:
- Postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or related field.
- Strong experience with LLM-based agents , multi-agent systems , or reinforcement learning .
- Proficiency in Python and deep learning libraries such as PyTorch , TensorFlow , or JAX .
- Hands-on experience with frameworks like LangChain , OpenAI APIs , AutoGPT , or Hugging Face Transformers .
- Solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs.
Interested can share your resume at
Be The First To Know
About the latest Ai research Jobs in Hyderabad !
Agentic AI Research Engineer
Posted 1 day ago
Job Viewed
Job Description
Location: Hyderabad, India
Company: Pranathi Software Services Pvt. Ltd.
Employment Type: Full-Time | On-site/Hybrid
About Us:
Pranathi Software Services Pvt. Ltd. is a leading software product development company with a strong focus on cutting-edge technologies including AI, Machine Learning, and advanced automation. We're now building next-generation intelligent systems powered by Agentic AI and are looking for passionate individuals to join our AI R&D team in Hyderabad.
Required Qualifications:
Postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or related field.
Strong experience with LLM-based agents , multi-agent systems , or reinforcement learning .
Proficiency in Python and deep learning libraries such as PyTorch , TensorFlow , or JAX .
Hands-on experience with frameworks like LangChain , OpenAI APIs , AutoGPT , or Hugging Face Transformers .
Solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs.
Interested can share your resume at
Agentic AI Research Engineer
Posted today
Job Viewed
Job Description
Job Title: Agentic AI Research Engineer
Location: Hyderabad, India
Company: Pranathi Software Services Pvt. Ltd.
Employment Type: Full-Time | On-site/Hybrid
About Us:
Pranathi Software Services Pvt. Ltd. is a leading software product development company with a strong focus on cutting-edge technologies including AI, Machine Learning, and advanced automation. We're now building next-generation intelligent systems powered by Agentic AI and are looking for passionate individuals to join our AI R&D team in Hyderabad.
Required Qualifications:
- Postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or related field.
- Strong experience with LLM-based agents , multi-agent systems , or reinforcement learning .
- Proficiency in Python and deep learning libraries such as PyTorch , TensorFlow , or JAX .
- Hands-on experience with frameworks like LangChain , OpenAI APIs , AutoGPT , or Hugging Face Transformers .
- Solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs.
Interested can share your resume at
AI Research Engineer, RL
Posted today
Job Viewed
Job Description
Role Description
This is a full-time remote role for an AI Research Engineer specializing in Reinforcement Learning (RL). The AI Research Engineer will be responsible for developing and implementing state-of-the-art RL algorithms, collaborating on research projects, and integrating these algorithms into existing systems.
Qualifications
- Full-stack engineering, from data engineering to model architecture, RL and deployment.
- Experience with performance engineering and identifying bottlenecks in RL training.
- Experience with tuning reward functions, hyper-parameters and exploration strategies to solve complex tasks with deep RL.
- 8+ years of Python programming experience.
Nice to have
- Advanced degree (MS or PhD) in Computer Science or related field
- Experience with k8s, docker, GPU Performance / systems engineering and model inference.