Apprentice – IT (AI/ML)

Job Description

Apprentice – IT (AI/ML) Company: Eaton Location: Pune Work Model: Hybrid Type: Apprenticeship Role Overview • Support AI and Machine Learning initiatives • Work on enterprise-scale AI/ML projects • Assist in model development and experimentation • Collaborate with data scientists and AI engineers • Apply AI concepts to real-world business problems Key Responsibilities • Build and train machine learning models • Perform data analysis and preprocessing • Conduct feature engineering on datasets • Support AutoML and custom ML experiments • Evaluate and improve model performance • Work with AI/ML tools and platforms • Translate business requirements into ML tasks • Document experiments and model outcomes • Follow AI governance and security standards • Collaborate with engineering and analytics teams Required Skills • Machine Learning fundamentals • Statistics and Linear Algebra • Data Structures and Algorithms • Python programming • SQL basics • Data Analysis techniques • Problem-solving skills • Communication and teamwork skills Technical Knowledge • Scikit-learn • TensorFlow or PyTorch (basic exposure) • Machine Learning workflows • Dataset handling and preprocessing • Model evaluation techniques Good to Have • AWS, Azure, or GCP exposure • Snowflake knowledge • MLOps fundamentals • Git version control • NLP projects • Computer Vision projects • Predictive Analytics projects • Time Series Forecasting exposure Educational Qualification • B.E./B.Tech in: • Artificial Intelligence • Machine Learning • Data Science • Computer Science with AI/ML coursework Experience Required • Freshers eligible • Recent graduates preferred • Academic AI/ML projects are advantageous What You Will Learn • End-to-end AI/ML solution development • Enterprise-scale data platform exposure • Model training and deployment practices • AI governance and monitoring concepts • Production-grade machine learning workflows • Industry best practices in AI engineering Work Environment • Hybrid working model • Mentorship from senior AI engineers • Collaborative innovation-driven culture • Exposure to enterprise AI systems • Learning-focused environment Why Join • Opportunity to start career in AI/ML domain • Work on real-world machine learning use cases • Gain hands-on experience with production datasets • Learn modern AI tools and technologies • Build strong foundation in enterprise AI engineering