Machine Learning Operations Engineer - LLM Models

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

• 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)

• 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

(ref:hirist.tech)