ML Ops Engineer

Job title: ML Ops Engineer

Experience: 5 7 Years

Work Location: Bangalore

Work Model: Hybrid

Employment Type: Full Time

We re hiring for one of the top IT services companies. SPADTEK Solutions is proud to collaborate with leading IT organizations to source exceptional talent for their fulltime and Contract positions. Client/Implementation Partner is a globally recognized IT services and consulting company, trusted by Fortune 500 clients and enterprises worldwide. With a strong presence across cloud, data engineering, AI, and digital transformation and is known for delivering cuttingedge solutions that drive business growth and innovation. Working on enterprisescale projects with global clients. Exposure to nextgen technologies across cloud, data, and digital platforms. A culture that values continuous learning, collaboration, and career growth. Being part of a company consistently ranked among the top IT employers. If you are an experienced professional seeking a longterm career opportunity with one of the industry s most respected names, this is your chance to join top IT services company through SPADTEK Solutions.

Job Overview Skilled and motivated Machine Learning (ML) with a focus on the maintenance and enhancement of existing projects, implement new features, and contribute to the development of new solutions, with enough understanding of ML concepts to collaborate effectively within our team.

Responsibilities

• Maintain and optimize deployed ML solutions ensuring reliability, performance, and security.
• Collaborate with the team to design and implement new features for existing ML projects based on evolving requirements
• Troubleshoot and resolve production issues, ensuring minimal downtime.
• Assist in scoping, building, and deploying new ML project in the information security space.
• Stay current with advancements in ML to propose practical, engineering-focused solutions.

Qualifications

• Bachelor s degree in computer science, Engineering, or related field (or equivalent experience).
• Proficiency in Python with experience in writing clean, efficient, and maintainable code.
• Experience with SQL for querying, manipulating, and managing structured data in databases.
• Proven experience in software engineering with a focus on deploying, monitoring, scaling, and maintaining ML systems from scratch.
• Experience with data ingestion processes, including the collection, processing, and integration of data from various sources into ML systems.
• Knowledge of DevOps practices (CI/CD, model monitoring/observability)
• Experience with cloud platforms, AWS preferred.
• Practical knowledge of machine learning concepts (e.g., model training, evaluation) and experience with ML frameworks to support engineering tasks.
• Familiarity with data science workflows, including data preprocessing, feature engineering, and analysis.
• Ability to collaborate effectively in a team environment and communicate technical concepts clearly