2 years

7 - 9 Lacs

Posted:8 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a highly motivated and experienced Machine Learning Engineer to join our team. You will be responsible for transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. This role requires a strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle.

Key Responsibilities:

Production Deployment & Scaling:

  • Refactor and optimise Data Science prototypes for performance and efficiency.
  • Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes.
  • Design and build low-latency APIs to serve model predictions in real-time.

MLOps Pipeline Automation:

  • Implement CI/CD/CT pipelines to automate model training, testing, and deployment processes.
  • Utilise orchestration tools like Airflow or Kubeflow to manage and schedule complex ML workflows.

Advanced AI Focus:

  • Work with specialised models (e.g., LLMs) on tasks such as fine-tuning and prompt engineering.
  • Contribute to ensuring the ethical and compliant use of AI systems, particularly in relation to data privacy and bias.

System Monitoring & Maintenance:

  • Set up robust monitoring for model performance, data drift, and infrastructure health in production.
  • Develop and manage automated processes for model retraining, versioning, and rollbacks.

Software Engineering & Collaboration:

  • Write high-quality, clean, modular Python code following professional software engineering standards.
  • Collaborate closely with Data Scientists and Data Engineers to ensure seamless data flow and feature availability for models.

Benefits

  • Service recognition awards.
  • Market-leading salary packages.
  • Maternity & Paternity Benefits.
  • Medical Insurance Benefits.

Job Types: Full-time, Permanent

Pay: ₹66,000.00 - ₹75,000.00 per month

Benefits:

  • Flexible schedule
  • Health insurance
  • Leave encashment
  • Paid sick time
  • Paid time off
  • Provident Fund

Ability to commute/relocate:

  • Vadodara, Gujarat: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Application Question(s):

  • Please share your current CTC details

Experience:

  • Machine learning: 2 years (Required)

Language:

  • Fluent English (Required)

Work Location: In person

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