AI Research Scientist

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.