Overview The Associate Machine Learning Engineer will support the design development and delivery of ML solutions that improve business outcomes You ll contribute to model experimentation data preparation and deployment tasks under the guidance of senior team members helping ship reliable well-tested ML features that make a measurable impact Prodege A cutting-edge marketing and consumer insights platform Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands marketers and agencies uncover the answers to their business questions acquire new customers increase revenue and drive brand loyalty product adoption Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish BitBurst AdGate Media in 2022 Prodege looks forward to more growth and innovation to empower our partners to gather meaningful rich insights and better market to their target audiences As an organization we go the extra mile to Create Rewarding Moments every day for our partners consumers and team Come join us today Primary Objectives Assist with Applied ML Model Development Evaluation Data Preparation Basic Feature Engineering Experimentation Support Model Deployment Monitoring Iteration Cross-Functional Collaboration with Data Product Engineering Code Quality Testing and Documentation Practical Problem Solving with an 80 20 mindset Qualifications - To perform this job successfully an individual must be able to perform each job duty satisfactorily The requirements listed below are representative of the knowledge skill and or ability required Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Detailed Job Duties typical monthly weekly daily tasks which support the primary objectives Implement baseline ML models e g classification regression simple ranking in Python using common libraries scikit-learn XGBoost basic familiarity with PyTorch or TensorFlow Prepare datasets clean transform data create easy features run exploratory analysis and document assumptions Run experiments with clear metrics compare models record results trade-offs and recommendations Package models for deployment batch jobs or simple APIs with guidance from software data engineering add basic logging telemetry Write clean testable code contribute unit tests participate in code reviews and follow version control standards Monitor model performance accuracy latency data label drift and help troubleshoot issues propose incremental improvements Translate requirements into small ML tasks communicate progress blockers and risks to partners Convert exploratory notebooks into reproducible scripts jobs and contribute to lightweight utilities that improve team velocity What does SUCCESS look like Success means contributing reliable ML components that reach production and measurably improve team KPIs e g accuracy conversion lift reduced false positives You re recognized for dependable execution clear documentation thoughtful experimentation and collaborative communication that helps the team deliver value faster The MUST Haves ex job cannot be done without these skills education experience certifications licenses Bachelor s degree in Computer Science Engineering Mathematics or related field or equivalent practical experience One or more 1 years of hands-on experience applying ML industry internship research or significant projects Proficiency in Python and fundamentals of software engineering testing modular code version control familiarity with SQL Practical experience with core ML techniques e g tree-based models linear logistic regression basic clustering and evaluation methods Basic familiarity with a deep learning framework PyTorch or TensorFlow and understanding of when classical ML may be preferable Exposure to building simple data pipelines or training serving jobs familiarity with Spark or similar is a plus Exposure to deploying models batch or simple real-time and monitoring basic health performance metrics Clear written and verbal communication collaborative working style Strong analytical problem-solving skills and a bias toward practical timely solutions 80 20 The Nice to Haves preferred additional skills education experience certifications licenses Experience with cloud ML tooling AWS GCP or Azure MLflow model registries or introductory MLOps practices Basic understanding of APIs microservices and comfort containerizing workloads Docker Familiarity with NLP LLM tooling e g Hugging Face embeddings retrieval and prompt or fine-tuning workflows Relevant certifications or advanced coursework in ML data science or cloud

📌 Associate Ml Engineer (Maharashtra)
🏢 Prodege India Private
📍 Maharashtra