Job Description
- Key Skills :
- Fine tune the LLM models, Python, Experience on MLOPS/LLMOPS (docker /container ).
- Have deploy the model in Production (GCP).
- Basic understanding of ML/Deep learning, NLP
- Experience & Skills :
- Proficiency with python and the python ML tool kit along with DL frameworks
- Experience with working on end to end solutions and comfortable with cloud based ML-Ops pipelines
- Experience fine-tuning deep learning models including LLMs
- Experience with GPUs and understanding of balancing costs at both training and inference Comfortable in deploying end to end data science focused solutions with challenging data sets
- Proficiency/experience with ML deployment strategies, micro services and infrastructure
- ML-OPS experience with setting up CI/CD pipelines, feature engineering etis, designing feature stores and understanding mechanisms of deployment across various environments
- Experience in translating ML based outcomes to business-digestible insights
Job Responsibilities
- Help identify opportunities to solve complex challenges and deliver tangible business benefit through analytics, Al/Machine Learning solutions and skillsets.
- Apply advanced Data Science methods, extensive prototyping and experimentation methodologles in the following disciplines: Data, Al: Machine Learning.
- Work closely and collaboratively with other functions within 8l & Analytics in order to assess the scalability of analytical opportunities and further development into production-level solutions.
- Running research experiments both in NLP & computer vision (for remote sensing based applications)
Location
Gurgaon, Haryana, India
Bengaluru, Karnataka, India
Hyderabad, Telangana, India
Pune, Maharashtra, India