Machine Learning Engineer (5-7 yrs)

Machine Learning Engineer

Locations : Gurgaon | Pune | Bangalore | Hyderabad | Chennai

Experience : 58 years

Notice Period : Immediate joiners preferred

About QuickHire :

At QuickHire, we specialize in fast and efficient executive search for organizations. Our team of experienced consultants understands the unique challenges and opportunities companies face and partners closely with clients to identify and attract top leadership talent that fuels growth and innovation.

With a strong track record of success, we take pride in delivering high-quality candidates quickly, tailored to each clients needs. Our customized search process ensures a smooth and seamless experience for both clients and candidates, with a long-term focus on success and relationship building.

About the Role :

Are you passionate about building scalable ML pipelines and deploying models into real-world production environments? Were looking for an experienced Machine Learning Engineer to join our clients high-impact tech team. This is a great opportunity for engineers who thrive in fast-paced environments and want to drive ML deployment at scale.

Key Responsibilities :

- Design, develop, and maintain scalable ML pipelines using Databricks Notebooks and Workflows

- Implement robust CI/CD practices leveraging MLflow, Git, Jenkins, and Databricks Repos

- Deploy, track, monitor, and optimize models via MLflow's model registry

- Collaborate closely with Data Scientists, Data Engineers, and DevOps teams to ensure seamless integration

- Ensure models are production-ready, version-controlled, and well-documented

- Troubleshoot issues in model deployment and continuously improve system reliability and performance

Required Skills & Experience :

- 58 years of experience in ML engineering or a similar role

- Hands-on experience with Databricks, MLflow, and CI/CD tools

- Strong knowledge of Python, SQL, and cloud platforms (e.g., AWS, Azure, or GCP)

- Experience deploying models to production and managing lifecycle through MLflow or similar tools

- Solid understanding of software engineering best practices in ML/AI systems

- Excellent collaboration and communication skills

Why Join?

- Be part of an agile, forward-thinking tech environment

- Work with cutting-edge tools and infrastructure

- Make a direct impact by deploying models used at scale

- Engage in a dynamic work culture that encourages innovation and ownership