Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer

Location: Bengaluru, Karnataka, India

Type: Full Time

Our Client is looking for an experienced Senior MLOps Engineer to design, build, and scale machine learning infrastructure in a cloud-first environment. This role will play a critical part in bridging data science and engineering by enabling seamless deployment, monitoring, and optimization of ML models at scale.

Key Responsibilities:

ML Pipeline Architecture & Automation

• Design and manage end-to-end machine learning pipelines for large-scale data processing and model training
• Build automated CI/CD pipelines to ensure efficient, secure, and high-quality model deployment
• Develop reusable frameworks and templates to standardize and accelerate ML solution delivery

Deployment & Orchestration

• Containerize and deploy machine learning models using modern orchestration platforms
• Build and manage APIs to enable integration of ML models with downstream applications
• Contribute to scalable system architecture, ensuring modular and flexible ML components

Optimization & Governance

• Manage the ML model lifecycle, including performance monitoring, drift detection, and updates
• Implement strategies to optimize infrastructure usage and control operational costs
• Maintain comprehensive technical documentation for pipelines, frameworks, and best practices

Cross-Functional Collaboration

• Act as a key liaison between data science, DevOps, and engineering teams
• Ensure smooth transition of models from development to production environments
• Support best practices in MLOps, DevSecOps, and cloud-native development

What Were Looking For:

• Strong expertise in building and managing ML pipelines in cloud environments
• Hands-on experience with modern MLOps tools, containerization, and orchestration platforms
• Deep understanding of DevOps practices, CI/CD pipelines, and software quality standards
• Proven experience deploying ML models into production environments at scale
• Strong analytical and problem-solving skills with a collaborative mindset

Qualifications:

Education:

• Bachelors degree in Computer Science, Engineering, or a related field

Experience:

• 5+ years of experience in MLOps, data engineering, or related roles
• Hands-on expertise with cloud-based ML platforms and distributed data processing

Technical Skills:

• Experience with machine learning platforms, data processing frameworks, and container tools
• Knowledge of API development and scalable system design
• Familiarity with code quality, automation, and monitoring tools

Preferred Qualifications:

• Experience with cloud certifications or advanced solution architecture concepts
• Exposure to enterprise-scale ML deployments and modern DevOps frameworks