AI Research Scientist

6 days ago

Bengaluru, Karnataka, India Stellar Solutions Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: AI Research Scientist

Location: 100% Remote (India)

Duration: 12-month Contract

About the Role

We are seeking a highly skilled AI Research Scientist with a strong background in applied AI research, mathematical optimization, and algorithm design. The ideal candidate will combine research expertise with hands-on development skills to design, test, and deploy advanced AI/ML solutions in real-world settings.

Key Responsibilities
  • Research, design, and implement novel AI/ML algorithms and optimization frameworks.
  • Develop and deploy solutions in domains such as language models, computer vision, signal processing, generative AI, agentic AI, and digital twins.
  • Apply advanced mathematical programming and optimization techniques to real-world business problems.
  • Work with graph theory, knowledge graphs, and large-scale data architectures (Neo4j, cuGraph).
  • Build, train, and optimize models using deep learning frameworks (PyTorch, TensorFlow).
  • Leverage GPU-accelerated computing (CUDA, Rapids, NeMo, NIM) for high-performance AI solutions.
  • Collaborate with cross-functional teams including researchers, engineers, and business stakeholders.
  • Document research findings, contribute to publications, and share results through technical reports or academic papers.
  • Ensure responsible AI practices including fairness, interpretability, and ethical AI usage.
Required Qualifications
  • PhD in Computer Science, Applied Mathematics, Engineering, or related field with focus on AI/Optimization.
  • 3–5 years of applied AI research and deployment experience.
  • Strong foundation in linear algebra, probability, stochastic processes, and optimization theory.
  • Expertise in algorithm design, linear/non-linear programming, convex optimization, or combinatorial methods.
  • Hands-on experience with neural networks, transformers, diffusion models, or generative modeling.
  • Skilled in Python and C++ programming (CUDA experience is a plus).
  • Strong knowledge of AI frameworks and libraries (PyTorch, TensorFlow).
  • Familiarity with GPU accelerated computing, version control, and containerization (Docker, Kubernetes).
  • Excellent problem-solving, analytical, and communication skills.
Preferred Skills
  • Experience in regulated industries (finance, healthcare, insurance).
  • Knowledge of Big Data technologies (Spark, Kafka, Redis, Elastic Search).
  • Proficiency in distributed training, hyperparameter optimization, and workflow automation (GitHub Actions, Terraform, Helm).
  • Strong in microservices, APIs, and large-scale real-time AI systems.
  • Contributions to open-source AI projects, research publications, or conference presentations.
  • Familiarity with Responsible AI practices and fairness auditing.

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