Job Description

Job Title: AI Research Scientist

Location:

100% Remote (India)

Duration:

12-month Contract

About the Role

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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

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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

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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.