Industrial Intelligence Engineer

Job Title: Industrial Intelligence Engineer

Experience: 2 4 Years

Qualification

• Strong Python programming skills with experience in production-ready AI/ML code.
• 2 4 years of hands-on experience in Artificial Intelligence and Machine Learning.
• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Big Data, or a related field.
• Experience with cloud platforms, preferably AWS (SageMaker, Bedrock), including:
  • Data pipelines
  • Model training
  • Model deployment
  • AI lifecycle management
• Proven experience delivering AI solutions from concept to production.
• Strong understanding of Machine Learning algorithms and Deep Learning frameworks (PyTorch, TensorFlow).
• Basic understanding of MLOps concepts:
  • CI/CD
  • Model monitoring
  • Model versioning
• Independent, proactive working style with strong ownership.
• Excellent communication, teamwork, and English proficiency.

Key Responsibilities

• Design and build scalable AI/ML data pipelines with CI/CD integration.
• Develop, test, train, validate, and optimize Machine Learning and Deep Learning models.
• Create and manage training and validation datasets, including synthetic data generation where required.
• Apply and evaluate different AI models and approaches based on business use cases.
• Build and maintain end-to-end AI pipelines from data ingestion through production deployment.
• Deploy AI models on cloud platforms (preferably AWS SageMaker/Bedrock).
• Monitor model performance and maintain production AI systems.
• Translate business and technical requirements into robust AI solutions.
• Collaborate with cross-functional teams to deliver scalable AI applications.

Must-Have Skills

Programming

• Python

AI / Machine Learning

• Machine Learning
• Deep Learning
• Production AI development
• Model training
• Model validation
• Model deployment

Frameworks

• PyTorch
• TensorFlow

Cloud

• AWS
• AWS SageMaker
• AWS Bedrock

MLOps

• CI/CD
• Model Monitoring
• Model Versioning

Data Engineering

• Data Pipelines
• Data Ingestion
• ETL/ELT
• AI Pipeline Development

Soft Skills

• Ownership
• Problem-solving
• Communication
• Team collaboration

Nice-to-Have Skills

Candidates with the following experience should be given preference:

Generative AI

• LangChain
• LangGraph
• CrewAI
• AutoGen
• LlamaIndex
• Agentic AI
• RAG (Retrieval-Augmented Generation)
• GraphRAG

LLMOps / Evaluation

• LangSmith
• MLflow
• RAGAS
• DeepEval
• TruLens
• Evidently AI

Vector Databases

• Pinecone
• FAISS
• ChromaDB
• Weaviate
• Azure AI Search

Cloud & DevOps

• Docker
• Kubernetes
• Terraform
• FastAPI
• REST APIs
• AWS Lambda
• EC2
• S3

Fine-Tuning

• LoRA
• QLoRA
• PEFT
• Hugging Face Transformers

Other

• Prompt Engineering
• Semantic Search
• Hybrid Search
• OCR
• NLP
• Computer Vision
• Explainable AI (SHAP)
• Time-Series Forecasting

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.