Job Summary:

We are seeking a skilled Data Engineer with 4-6 years of experience in ETL development and data transformation using Azure technologies. The ideal candidate will have expertise in Databricks, Azure Data Factory (ADF), and cloud services, along with strong experience in SQL procedures and data transformations. Knowledge of Python and Apache Spark is preferred.

The successful candidate will collaborate with cross-functional teams to support business objectives.

What you'll do:

Key Responsibilities:

Model Development:

• Develop and deploy Machine Learning models, Generative AI applications, and Agentic AI frameworks for manufacturing use cases.
• Utilize Python, Azure ML, and other cloud-based tools to build scalable AI solutions.
• Work with large datasets, apply data pre-processing techniques, and optimize ML pipelines.
• Collaborate with manufacturing experts to understand domain-specific challenges and apply AI-driven insights.
• Research and implement state-of-the-art ML algorithms, including Deep Learning and Reinforcement Learning models.
• Ensure model interpretability, explainability, and performance optimization.
• Work with MLOps best practices for continuous integration and deployment of ML models.
• Present findings and solutions to both technical and non-technical stakeholders.
• Ensure data security, governance, and compliance with organizational standards.

• Collaboration and Communication:
• Collaborate with stakeholders to understand data requirements and deliver solutions.
• Communicate complex technical concepts to non-technical stakeholders effectively.
• Work closely with the product and engineering teams to integrate data solutions into the broader tech ecosystem.
• Performance Optimization and Troubleshooting:
• Optimize models for performance and cost-efficiency.
• Continuously monitor and improve the performance, scalability, and reliability of the Models.

Skill and knowledge you should possess:

• Proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.).
• Hands-on experience with Azure ML and other cloud AI services.
• Understanding of Agentic AI architectures and frameworks.
• Strong background in Gen-AI models (LLMs, GANs, Transformers, etc.).
• Knowledge of MLOps, model deployment, and monitoring best practices.
• Strong problem-solving skills and ability to work with structured and unstructured data.
• Excellent communication skills and ability to explain complex models to business stakeholders.

Good to Have:

• Experience with Time-Series Forecasting, Anomaly Detection, and Predictive Maintenance in manufacturing.
• Knowledge of IoT and Edge AI applications.
• Familiarity with LangChain, AutoGPT, or other frameworks for building AI Agents.
• Exposure to containerization (Docker, Kubernetes) for scalable AI model deployment.
• Experience with additional big data technologies and cloud platforms
• Knowledge of data governance frameworks and tools.
• Relevant certifications in Azure or Spark.

What we Offer:

• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• Access to cutting-edge technology and tools.
• The opportunity to make a significant impact on the company’s data strategy and operations.