Machine Learning Engineer

Greetings from Maneva Job Title - Machine Learning Engineer Experience - 5 -15 days Location - Bangalore Kodathi Notice - Immediate to 60 days Job Summary We are seeking a highly skilled and versatile Senior Machine Learning Engineer who embodies the rare combination of a strong software engineer a pragmatic data scientist and an expert in building robust scalable ML applications This role is critical to our mission bridging the gap between cutting-edge ML research and robust production-ready systems Candidate will be instrumental in designing developing deploying and maintaining our core AI-powered products and features This demands a blend of analytical rigor coding prowess architectural foresight and a deep understanding of the entire machine learning lifecycle from data exploration and model development to deployment monitoring and continuous improvement Key Responsibilities End-to-End ML Application Development Lead the design development and deployment of machine learning models and intelligent systems into production environments ensuring they are robust scalable and performant Software Design Architecture Apply strong software engineering principles to design and build clean modular testable and maintainable ML pipelines APIs and services Contribute significantly to the architectural decisions for our ML platform and applications ML Model Development Optimization Collaborate with Data Scientists to understand business problems explore data develop train and evaluate machine learning models e g supervised unsupervised deep learning reinforcement learning Optimize models for performance efficiency and interpretability Data Engineering for ML Design and implement data pipelines for feature engineering data transformation and data versioning to support ML model training and inference MLOps Productionization Establish and implement best practices for MLOps including CI CD for ML automated testing model versioning monitoring performance drift bias and alerting systems for production ML models Performance Scalability Identify and resolve performance bottlenecks in ML systems Ensure the scalability and reliability of deployed models under varying load conditions Collaboration Mentorship Work closely with cross-functional teams including Data Scientists Software Engineers Product Managers and DevOps to integrate ML solutions seamlessly into our products Potentially mentor junior engineers on best practices in ML engineering and software design Research Innovation Stay abreast of the latest advancements in machine learning MLOps and related technologies Propose and experiment with new techniques and tools to improve our ML capabilities Documentation Create clear and comprehensive documentation for ML models pipelines and services Required Qualifications Education Bachelor s or Master s degree in Computer Science Machine Learning Data Science Electrical Engineering or a related quantitative field Experience 5 years of professional experience in Machine Learning Engineering Software Engineering with a strong ML focus or a similar role Exceptional Programming Skills Expert-level proficiency in Python including experience with writing production-grade clean efficient and well-documented code Experience with other languages e g Java Go C is a plus Strong Software Engineering Fundamentals Deep understanding of software design patterns data structures algorithms object-oriented programming and distributed systems Machine Learning Expertise Solid theoretical and practical understanding of various machine learning algorithms Proficiency with ML frameworks such as PyTorch Scikit-learn Experience with feature engineering model evaluation metrics and hyperparameter tuning Data Handling Experience with SQL and NoSQL databases data warehousing concepts and processing large datasets Problem-Solving Excellent analytical and problem-solving skills with a pragmatic approach to delivering solutions Communication Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences Preferred Qualifications Master s or Ph D in a relevant field Experience with big data technologies e g Spark Hadoop Kafka Contributions to open-source projects or a strong portfolio of personal projects Experience with A B testing and experimental design for ML models Knowledge of data governance privacy and security best practices in ML If you are excited to grab this opportunity please apply directly or share your CV at and