We are in the process of helping our client in identifying Machine Learning Specialist (Research & Engineering), this is a Full Time role in Bangalore /Hyderabad /Chennai and it is Work from Home, they can work type is Part Time /Full Time based on their availability.
Machine Learning Specialist (Research & Engineering)
About the Role :
Our client, a leading Global System Integrator, is building a high-velocity AI squad. We are seeking a versatile Machine Learning Specialist to own the end-to-end lifecycle of AI development from state-of-the-art research and fine-tuning foundational models to architecting the production-grade pipelines and APIs that bring these models to life. You will bridge theoretical innovation and scalable business impact, ensuring solutions are both cutting-edge and operationally robust.
Job Type : Full Time
Job Positions : 2
Location : Bangalore /Hyderabad /Chennai (Work from Home)
Job Description :
- 3- 7 years of experience in Python and SQL.
- Strong hands-on experience with ML frameworks PyTorch, TensorFlow or JAX.
- Hands-on with Git, CI/CD and MLOps tooling.
- Practical LLM / Generative AI experience fine-tuning, RAG, prompt engineering.
- Model deployment with containers (Docker, Kubernetes) and API development.
- Strong bias toward model explainability and security.
- Strong problem-solving skills and ability to troubleshoot complex issues in distributed environments.
- Excellent communication skills and the ability to work effectively in a collaborative team environment.
Key Responsibilities :
- Research & Experimental Innovation : Conduct deep-dive research into SOTA architectures and foundational models to solve problems like credit scoring, fraud detection and personalization; run rigorous hyperparameter tuning and fine-tuning (PEFT, LoRA, QLoRA).
- Benchmarking & Evaluation : Build evaluation frameworks and leaderboards to monitor model accuracy and compare experimental iterations.
- Data Strategy & Engineering : Design experimentation datasets and production data pipelines with strong feature engineering and data augmentation; ensure high-quality inputs for training and real-time inference.
- Production Engineering & MLOps : Architect end-to-end model deployment using Docker/Kubernetes and CI/CD; build robust, low-latency APIs; implement MLOps best practices versioning (DVC), drift detection and automated quality gates.
- Squad Collaboration & Agile Delivery : Work as a core member of a cross-functional squad, aligning daily with Data Engineers, Backend Developers and Product Owners within Agile ceremonies.
- Documentation & Mentoring : Author full technical-stack documentation and act as a technical SME through code reviews and peer mentoring.
Preferred Qualifications :
- Demonstrable portfolio of advanced AI use cases GenAI, NLP, Recommender Systems, Graph Algorithms.
- Familiarity with AWS, GCP or Azure AI services.
- Published research in AI/ML conferences or journals.
Must-Have Skills : Python, SQL, ML frameworks - PyTorch, TensorFlow or JAX, Git, CI/CD and MLOps tooling, Practical LLM / Generative AI experience.
Academic : Post Graduate /Graduate in Engineering /Technology.
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