Job Application-ML Ops Engineer-Immediate Joiner

4 weeks ago

Gurugram, India EXL Full time

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.



If you interested in this role, then please share your following details along with the updated CV:


Total Experience-

Current CTC Fixed-

Expected CTC Fixed-

Notice Period-

Any other offer In hand-

Reason for change-

Skills-


Regards,

Nandini Sharma

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