Machine Learning Operations Engineer

4 weeks ago


Bengaluru, Karnataka, India Straive Full time

At Straive, we are shaping the future of data and analytics by providing innovative solutions to our clients. With a strong presence in multiple domains, we are looking for an experienced Machine Learning Operations (ML Ops) Engineer to join our team. This role will be responsible for designing, building, and optimizing machine learning pipelines to drive business impact.

We are seeking a highly skilled ML Ops Engineer with 3-7 years of experience in the Consumer Packaged Goods (CPG) sector, specializing in Machine Learning. The ideal candidate will possess a deep understanding of the machine learning lifecycle, along with the expertise to architect and implement scalable, resilient ML Ops solutions.

Key Responsibilities:

  1. Collaborate with data scientists and ML engineers throughout the ML lifecycle, supporting model development, deployment, and monitoring.
  2. Design, implement, and optimize ML Ops pipelines using tools and frameworks such as TensorFlow Serving, Kubeflow, MLflow, or similar technologies.
  3. Build and maintain data pipelines and infrastructure necessary for enterprise-scale machine learning applications, focusing on tasks like data ingestion, preprocessing, transformation, feature engineering, and model training.
  4. Develop cloud-based ML Ops solutions on platforms such as Azure ML, Azure SageMaker, or Google Cloud AI Platform.
  5. Deploy and monitor various machine learning models in production, including text/NLP and generative AI models.
  6. Participate in data science model reviews, focusing on code optimization, containerization, deployment, versioning, and quality monitoring.

Requirements:

  • Minimum of 3 -7 years of relevant work experience in ML Ops.
  • Strong expertise in Generative AI, advanced NLP, and machine learning techniques.
  • Proven experience in deploying and maintaining production-grade AI solutions.
  • Excellent communication and teamwork skills, with the ability to work independently when needed.
  • Strong analytical and problem-solving capabilities.
  • Stay informed about the latest advancements in ML Ops technologies and actively explore new tools and techniques to improve system performance and reliability.

Estimated Salary: $120,000 - $180,000 per year.

At Straive, we offer a dynamic and innovative work environment with opportunities for growth and professional development. If you are passionate about machine learning and data science, and have the skills and experience to succeed in this role, we encourage you to apply. Join our team and contribute to shaping the future of data and analytics.

Location: Bengaluru/Hyderabad

Benefits: Comprehensive benefits package, including health insurance, retirement plan, and paid time off.



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