AI Research Scientist

7 days ago

Bengaluru, Karnataka, India RDA Labs Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Experience:
  • 3–5 years of hands-on experience developing AI/ML algorithms and solution frameworks
  • 2-3 years of experience in one or more domains: language model, computer vision, signal processing, generative AI, optimization programming, recommendation systems, or autonomous agents
  • 1+ year of experience in agentic AI and/or AI reasoning, Digital Twins, Decision/Prescriptive AI
  • 3-5 years of programming in Python and C++. CUDA is a plus

Skills:

  • Strong foundation in mathematics: linear algebra, probability, stochastics, optimization theory
  • Expertise in mathematical programming, algorithm design, and optimization techniques
  • Skilled in formulating complex problems and designing scalable algorithms (e.g. linear/non-linear programming, convex optimization, combinatorial algorithms, etc.) and experience improving algorithms for efficiency and scalability
  • Deep knowledge of machine learning, deep learning, and statistical modeling
  • Strong in Graph Theory or Knowledge Graph related architecture and database (e.g. Neo4j, cuGraph)
  • Hands-on experience with neural networks, transformers, diffusion models, or generative modeling
  • Familiarity with NLP, computer vision, or domain-specific AI applications
  • Proficient in model evaluation, validation, and performance metrics
  • Experience with AI/ML frameworks and libraries (e.g. TensorFlow, PyTorch)
  • Familiarity with software development practices (version control, testing, GPU accelerated computing)
  • Strong analytical thinking and problem-solving skills
  • Ability to derive insights and prove algorithmic effectiveness through rigorous logic and math
  • Demonstrated creativity in tackling open-ended research and real-world AI challenges
  • Clear communicator, able to translate complex ideas for technical and non-technical audiences
  • Effective collaborator in cross-functional teams with researchers, engineers, and business partners
  • Skilled in writing technical documentation, reports, and academic publications is a plus
  • Passion for AI advancement and continuous learning
  • Active interest in emerging AI research, with contributions to publications, open-source projects or conference preferred

Preferred Skills:

  • Experience in regulated industries (e.g., finance, healthcare, insurance)
  • Excellent communication and stakeholder engagement skills
  • Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.)
  • Proficiency in model evaluation, distributed training, and hyperparameter optimization
  • Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search)
  • Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes)
  • Proficient in API, MCP and Microservices technologies
  • Track records in large-scale, real-time AI/GenAI/AgenticAI/ML database and solution technologies
  • Background in responsible AI/ML, model interpretability, and fairness auditing

Education :

  • Ph.D.'s or Master's in Computer Science, Applied Mathematics, Engineering, or related field with AI/Optimization focus
  • Proven experience in applied AI Research with deployment of AI solutions in real-world settings

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