Associate AI/ML Engineer

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: Technology Manager In this role, you will have the opportunity to act as a design authority for an engineering discipline with low to medium complexity. Each day, you will complete assignments on small projects or portions of larger projects in a cost-effective manner. You will also showcase your expertise by applying basic design thinking/design for excellence concepts in projects. The work model for the role is: #LI-Hybrid This role is contributing to the to the Process Automation business in Energy Industries based in Bangalore, India. You will be mainly accountable for: - AI/ML Model Development Design and implement supervised, unsupervised, and reinforcement learning models for predictive analytics, classification, and optimization tasks across engineering and operational domains. - Advanced Data Engineering Build scalable data pipelines for ingestion, transformation, and labeling using tools like Airflow, Kafka, and Databricks; ensure data quality, lineage, and consistency. - Model Deployment & MLOps Deploy and monitor AI/ML models in production using Docker, Kubernetes, and Azure ML; implement continuous learning loops and model explainability frameworks. - Agentic AI & Intelligent Systems Develop autonomous AI agents with reasoning and decision-making capabilities; integrate LLMs, knowledge graphs, and orchestration frameworks for hybrid AI solutions. - Cross-Functional Collaboration Partner with domain experts to translate business and engineering challenges into AI-driven solutions; contribute to internal AI communities and reusable asset libraries. - Governance & Compliance Ensure adherence to data governance, cybersecurity, and ethical AI standards; maintain thorough documentation and reproducibility across all AI initiatives. You will join a high performing team, where you will be able to thrive. Qualifications for the role - Education & Experience - Bachelor’s degree in Computer Science, Electrical, Electronics, Instrumentation, or a related engineering field, with 2–5 years of experience in AI/ML engineering, data science, or applied machine learning. - Programming & Model Development - Strong proficiency in Python with hands-on experience in developing, fine-tuning, and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. - Machine Learning & Generative AI - Solid understanding of ML theory, statistical modeling, feature engineering, and data preprocessing; familiarity with NLP and LLM-based agent frameworks like LangChain, LlamaIndex, AutoGen, or Semantic Kernel. - API Development & Data Engineering - Experience in building REST APIs, integrating ML models into enterprise applications, and automating pipelines using FastAPI, Flask, or Airflow; strong knowledge of SQL, NoSQL, and Graph databases (e.g., PostgreSQL, MongoDB, Neo4j). - MLOps & Deployment - Exposure to containerization and deployment tools such as Docker, Kubernetes, and Azure ML; understanding of data versioning, ETL automation, and metadata management using tools like DVC, MLflow, or Databricks. - Industrial AI & Preferred Skills - Experience in time-series analysis, predictive maintenance, and anomaly detection; awareness of industrial protocols (OPC-UA, Modbus, MQTT); familiarity with cloud AI platforms, vector databases, digital twins, and CI/CD practices; strong analytical and communication skills. More about us We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory ABB Energy Industries enabling safe, smart and sustainable projects and operations for businesses across the oil, gas, chemicals, life sciences, power generation and water sectors. Driving integrated solutions that automate, digitalize and electrify industry we connect our people and technology to help our customers adapt and succeed. With over 50 years domain expertise, we continue to innovate and reshape traditional approaches across the energy sector with our technologies designed to improve operational efficiency, reduce risk, reduce energy consumption and waste. It has come to our attention that the name of ABB is being used for asking candidates to make payments for job opportunities (interviews, offers). Please be advised that ABB makes no such requests. All our open positions are made available on our career portal for all the criteria to apply. ABB does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with ABB, even if is claimed that the money is refundable. ABB is not liable for such transactions for current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.