Job Application-ML Ops Engineer-Immediate Joiner
Job details
Job description (ML OPS Engineer) Job Location: Hyderabad/Pune/Gurgaon/Bangalore Experience: 4+ years Notice Period: Immediate Joiner to 30 days. Join EXL's innovative data science team, where we harness the power of generative AI to push the boundaries of data-driven solutions. At EXL, we're committed to exploring new frontiers in technology, Job Title : ML Ops Engineer Company: EXL Analytics Experience is 4-7 years. 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 Analytics, Al/Machine Learning solutions and skillsets.
- Apply advanced Data Science methods, extensive prototyping and experimentation methodologies 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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