ABB
ABB•1h ago
Naukri

Associate AI/ML Engineer

Hybrid - Hyderabad
Full Time
Mid Level

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Full Job Description

Reports to: Technology Manager

This role 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 specific parts of larger projects efficiently, while applying fundamental design thinking and design for excellence principles.

This position contributes to the Process Automation business within the Energy Industries, based in Bangalore, India.

Key Responsibilities:

  • AI/ML Model Development: Design and implement various machine learning models (supervised, unsupervised, reinforcement learning) for predictive analytics, classification, and optimization across engineering and operational contexts.
  • Advanced Data Engineering: Construct robust and scalable data pipelines for data ingestion, transformation, and labeling using tools like Airflow, Kafka, and Databricks, ensuring data quality, lineage, and consistency.
  • Model Deployment & MLOps: Deploy and monitor AI/ML models in production environments leveraging Docker, Kubernetes, and Azure ML. Implement continuous learning mechanisms and model explainability techniques.
  • Agentic AI & Intelligent Systems: Develop autonomous AI agents capable of reasoning and decision-making. Integrate Large Language Models (LLMs), knowledge graphs, and orchestration frameworks for sophisticated hybrid AI solutions.
  • Cross-Functional Collaboration: Collaborate with subject matter experts to translate business and engineering challenges into practical AI-driven solutions. Contribute to internal AI communities and the development of reusable asset libraries.
  • Governance & Compliance: Ensure strict adherence to data governance, cybersecurity, and ethical AI standards. Maintain comprehensive documentation and reproducibility for all AI initiatives.

Join a high-performing team where you can thrive and grow.

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 practical 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 Natural Language Processing (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 Continuous Integration/Continuous Deployment (CI/CD) practices. Strong analytical and communication skills are essential.

Company

ABB

ABB

Hybrid - Hyderabad
Posted on Naukri