Machine Learning Operations Engineer

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, NLPResponsibilities :- Help identify opportunities to solve complex challenges and deliver tangible business benefit throughnalytics, Al/Machine Learning solutions and skillsets.- Apply advanced Data Science methods, extensive prototyping and experimentation methodologles inthe following disciplines: Data, Al: Machine Learning.- Work closely and collaboratively with other functions within 8l & Analytics in order to assess thescalability of analytical opportunities and further development into production-level solutions.- Running research experiments both in NLP & computer vision (for remote sensing based applications)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 storesand understanding mechanisms of deployment across various environments- Experience in translating ML based outcomes to business-digestible insights (ref:hirist.tech)