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Machine Learning Operations Engineer
1 month ago
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
Responsibilities :
- Help identify opportunities to solve complex challenges and deliver tangible business benefit through
nalytics, 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)
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
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