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PradeepIT Consulting ServicesPosted 1 month ago

ML Ops Manager/Senior Manager | Hybrid | Bangalore - Whitefield | 7 - 10Yrs

On-siteBengaluru, Karnataka, India

Full TimeSenior LevelSmall

Job Summary

Manage multiple ML projects of varying complexity, ensuring on-time and on-budget delivery while leading cross-functional teams. Engage with executive stakeholders to translate business problems into high-level solutions, partner with technical teams to craft comprehensive RFP responses, and actively explore client operations to improve efficiency and revenue targets. Work hands-on across MLOps challenges, providing thought leadership in model deployment and orchestration pipelines. Grow and manage large teams of Machine Learning Engineers and Data Scientists while contributing to new business development and maintaining the client base.

Required Qualifications

  • BE/BTech/MTech (Specialization/courses in ML/DS)
  • At-least 7+ years of Consulting services delivery experience
  • Very strong problem-solving skills & work ethics
  • Possesses strong analytical/logical thinking, storyboarding and executive communication skills
  • 5+ years of experience in Python/R, SQL
  • 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
  • Hands on work experience in DevOps
  • Good knowledge in different deployment type like PaaS, SaaS, IaaS
  • Exposure on cloud technologies like Azure, AWS or GCP
  • Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib)
  • Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
  • Experience with one or more Container-ecosystem (Docker, Kubernetes)
  • Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint
  • Good understanding of OOP & Data Structures concepts

Desired Qualifications

  • Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
  • Experience in Helm is a plus
  • Strong understanding of data infrastructure, data warehouse, or data engineering

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