Location: Remote ( Preferable if the candidate location is Bengaluru)
Key Responsibilities
Partner with client stakeholders, product owners, and engineering teams to understand business problems and convert them into AI/ML solutions
Design, build, and optimize Machine Learning and Deep Learning models for enterprise-scale applications
Work on advanced AI use cases involving NLP, Predictive Analytics, Recommendation Systems, Time Series Forecasting, and Generative AI
Analyze structured and unstructured datasets to generate actionable business insights
Develop scalable data pipelines, model training workflows, and experimentation frameworks
Build and evaluate AI models using modern ML frameworks and cloud platforms
Take end-to-end ownership of projects from research, prototyping, and validation to deployment and monitoring
Stay updated with the latest advancements in AI, LLMs, Agentic AI, and Data Science research
Collaborate closely with AI/ML Engineers, Cloud teams, and product teams to deliver high-impact enterprise solutions
Contribute to research initiatives, whitepapers, patents, or publications where applicable
Technical Skills
Strong programming expertise in Python
Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar frameworks
Strong understanding of Machine Learning, Deep Learning, NLP, Statistical Modeling, and Data Mining
Experience working with Large Language Models (LLMs), RAG pipelines, or Generative AI frameworks is a plus
Experience with SQL, data processing, and large-scale datasets
Familiarity with cloud platforms such as AWS, Azure, or GCP
Knowledge of MLOps, model deployment, Docker, and CI/CD pipelines is preferred
Strong analytical thinking, experimentation mindset, and problem-solving capabilities
Required Qualifications
PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or related quantitative fields is strongly preferred
Candidates with strong research backgrounds, publications, or thesis work in AI/ML domains will be highly valued
2+ years of relevant experience in Data Science, Machine Learning, or Applied AI
