Summary:

You will design, develop, and deploy innovative AI/ML solutions for manufacturing and industrial products. A robust hands-on engineering approach, technical mentorship, and the ability to take projects from conception to deployment are expected. Cross-functional collaboration is key, but the position carries less strategic oversight and talent development responsibility than a Principal role.

Responsibilities:

- Architect and implement AI/ML models for automation, predictive analytics, and process optimization in manufacturing.

- Develop and maintain scalable data and ML pipelines; execute on end-to-end AI solution lifecycles (from data processing to model deployment and monitoring).

- Collaborate with product, engineering, and operations teams to design and integrate AI features into digital products.

- Apply Generative AI or LLMs for use cases in simulation, generative design, digital documentation, and intelligent operator assistance.

- Champion best MLOps practices, code quality, and testing for robust AI deployments.

- Mentor junior engineers and data scientists on technical best practices.

- Remain current with industry and AI advancements, and quickly adapt solutions to evolving needs.

Requirements:





- 5-10 years of hands-on AI/ML engineering (preferably in manufacturing, SaaS, or product companies).

Required Skills:

- Proven ability in Machine Learning, Deep Learning, Natural Language Processing (NLP), and/or Generative AI (LLMs, RAG, transformers).

- Experience deploying models with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.

- Strong programming skills in Python; familiarity with other languages or tools (Java, Go, Scala, Docker, K8s) is a plus.

- Experience with model training, fine-tuning, prompt engineering, and use of vector databases.

- Familiarity with cloud services (AWS/GCP/Azure) for model deployment.

- Experience with MLOps, CI/CD for ML, and version control (Git).

- Excellent communication and ability to work in a cross-functional team.

Preferred Skills:

- Experience with or exposure to digital twin tech in manufacturing (e.g., Nvidia Omniverse, Siemens, PTC); participate in integration/consumption rather than full-scale digital twin architecture.

- Knowledge of manufacturing data/standards (IoT, PLCs, MES/ERP connectivity).

- Masters in relevant fields, open-source contributions, or research publications.

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26-04480

📌 Lead AI Engineer (Chennai)
🏢 Aditi Consulting
📍 Chennai