ABB•1h ago
Naukri
Associate AI/ML Engineer
Hybrid - Pune
Full Time
Mid Level
N/A
N/A
N/A
Full Job Description
This Associate AI/ML Engineer position reports to the Technology Manager and offers the opportunity to serve as a design authority for engineering disciplines of low to medium complexity. You will execute assignments on small projects or segments of larger projects efficiently and cost-effectively, applying foundational design thinking and design for excellence principles.
This role is integral to the Process Automation business within the Energy Industries, based in Bangalore, India, with a hybrid work arrangement in Pune.
Key Accountabilities:
- AI/ML Model Development: Design and implement supervised, unsupervised, and reinforcement learning models for predictive analytics, classification, and optimization tasks within engineering and operational contexts.
- Advanced Data Engineering: Construct scalable data pipelines for ingestion, transformation, and labeling using tools such as Airflow, Kafka, and Databricks, ensuring data quality, lineage, and consistency.
- Model Deployment & MLOps: Deploy and monitor AI/ML models in production environments utilizing Docker, Kubernetes, and Azure ML, incorporating continuous learning loops and model explainability frameworks.
- Agentic AI & Intelligent Systems: Develop autonomous AI agents capable of reasoning and decision-making, integrating LLMs, knowledge graphs, and orchestration frameworks for hybrid AI solutions.
- Cross-Functional Collaboration: Collaborate with domain experts to translate business and engineering challenges into AI-driven solutions, contributing to internal AI communities and reusable asset libraries.
- Governance & Compliance: Ensure adherence to data governance, cybersecurity, and ethical AI standards, maintaining comprehensive documentation and reproducibility for all AI initiatives.
You will be joining a high-performing and supportive team.
Qualifications:
- 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 like 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 such as LangChain, LlamaIndex, AutoGen, or Semantic Kernel.
- API Development & Data Engineering: Experience in building REST APIs, integrating ML models into enterprise applications, and automating pipelines with 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 including 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.
Company
ABB
Hybrid - Pune
Posted on Naukri