Ai Research Scientist

4 days ago

Bengaluru Karnataka, India Stellar IT Solutions LLC Full time

**Job Title: AI Research Scientist**
**Location**: 100% Remote (India)
**Duration**: 12-month Contract

**About the Role**:
**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**.
- 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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