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Senior Machine Learning Engineer - Deep Learning Models Job Opening In Bengaluru – Now Hiring Confidential


Job description

<p><p><b>Job Title : Senior Machine Learning Engineer Applied AI </b><br/><br/><b>The candidate should be :</b><br/><br/>- A strong software engineer with deep ML expertise<br/><br/>- A pragmatic data scientist<br/><br/>- Skilled in building robust, scalable ML applications<br/><br/>- Able to bridge ML research and production-ready systems<br/><br/><b>Key Responsibilities :</b><br/><br/>- End-to-End ML Application Development : Design, develop, deploy ML models/systems into production (robust, scalable, high-performing)<br/><br/>- Software Design & Architecture : Create clean, modular, testable ML pipelines, APIs, services; make architectural decisions<br/><br/>- ML Model Development & Optimization : Collaborate for business understanding, explore data, build/train/evaluate ML models learning), optimize models<br/><br/>- Data Engineering for ML : Build data pipelines for feature engineering, data handling/versioning<br/><br/>- MLOps & Productionization : Implement best practices (CICD, auto-testing, model versioning/monitoring, alerting for drift/bias)<br/><br/>- Performance & Scalability : Diagnose/fix bottlenecks, make models scalable/reliable<br/><br/>- Collaboration/Mentorship : Work with cross-functional teams (data scientists, SW engineers, PMs, DevOps), possibly mentor juniors<br/><br/>- Research/Innovation : Stay updated on ML/MLOps tech, suggest/explore improvements<br/><br/>- Documentation : Write clear docs for ML models, pipelines, services<br/><br/><b>Required Qualifications :</b><br/><br/>- Education : Bachelors or Masters in CS, ML, Data Science, EE, or similar<br/><br/>- Experience : 5+ years professional ML/swe engineering (strong ML focus)<br/><br/>- Programming : Expert-level Python (clean, efficient code); other languages (Java, Go, C) a bonus<br/><br/>- Software Fundamentals : Patterns, structures, algorithms, OOP, distributed systems<br/><br/>- ML Expertise : Theory/practice with ML algorithms; frameworks (PyTorch, Scikit-learn); feature engineering; metrics; tuning<br/><br/>- Data Handling : SQL/NoSQL databases; handling big datasets<br/><br/>- Problem-Solving : Strong analytical/pragmatic approach<br/><br/>- Communication : Clear technical/non-technical explanation skills<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Masters/PhD in relevant field<br/><br/>- Big data (Spark, Hadoop, Kafka) experience<br/><br/>- Open-source/personal project portfolio<br/><br/>- AB testing, experimental design for ML<br/><br/>- Data governance, privacy, security knowledge in ML<br/><br/>This role requires someone strong technically, and capable of owning ML products end-to-end while working across teams and mentoring junior engineers.

The candidate needs both research and practical production experience in ML systems.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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