Lead AI/ML Engineer

• *AI/ML Professional – Generative AI (Remote)**
• *Location:** Remote (India)
• *Experience:** 6–10 Years
• *Employment Type:** Full\-Time
• *Shift:** Day Shift
• *Open Positions:** 1

Interested candidates can share their CV at swetha@way2smile.com

• *Must\-Have Skills (Core Requirements)**

• Python
• Generative AI / OpenAI
• Large Language Models (LLMs)
• Dataiku
• Machine Learning \& Deep Learning
• Prompt Engineering
• MLOps \& Model Deployment
• Client Presentations
• Stakeholder Management

• *Good\-to\-Have Skills**

• NLP \& Computer Vision
• LangChain / LangGraph
• Vector Databases (Pinecone, FAISS, ChromaDB)
• Azure OpenAI / AWS Bedrock / Vertex AI
• MLflow or Kubeflow
• SQL \& Cloud Platforms (AWS/Azure/GCP)

• *Job Summary**

We are seeking an experienced **AI/ML Professional** with expertise in **Generative AI, Large Language Models (LLMs), OpenAI, and Dataiku** to design, develop, and deploy enterprise\-grade AI solutions. The ideal candidate will have strong hands\-on experience in machine learning, model deployment, client engagement, and stakeholder management while driving AI innovation across business functions.

• *Key ResponsibilitiesAI Solution Development**

• Identify business opportunities where AI, Machine Learning, and Generative AI can deliver measurable value.
• Design, develop, and deploy scalable Machine Learning and LLM\-based solutions.
• Build predictive, NLP, and Generative AI applications for enterprise use cases.

• *Model Development \& Deployment**

• Develop robust ML and Deep Learning models.
• Build production\-ready AI solutions using Python and Dataiku.
• Implement MLOps best practices for model deployment, monitoring, and lifecycle management.

• *Generative AI \& LLMs**

• Develop applications using OpenAI and Large Language Models.
• Design prompt engineering strategies and AI workflows.
• Optimize model performance, accuracy, and scalability.

• *Technical Leadership**

• Mentor data scientists and AI engineers.
• Establish best practices across the AI development lifecycle.
• Conduct code reviews and provide technical guidance.

• *Client \& Stakeholder Management**

• Present AI solutions and business outcomes to clients and leadership teams.
• Translate complex technical concepts into business\-friendly insights.
• Collaborate with cross\-functional teams to deliver successful AI initiatives.

• *Research \& Innovation**

• Stay updated with the latest advancements in AI, LLMs, and Generative AI.
• Evaluate emerging AI tools, frameworks, and technologies.
• Drive innovation by prototyping new AI capabilities.

• *Required Qualifications**

• 6–10 years of experience in AI/ML and Data Science.
• Strong expertise in **Python, OpenAI/Generative AI, LLMs, and Dataiku**.
• Hands\-on experience with Machine Learning and Deep Learning models.
• Experience deploying production\-grade AI solutions.
• Strong client\-facing presentation and stakeholder management skills.
• Excellent analytical, problem\-solving, and communication abilities.

• *Preferred Skills**

• LangChain or LangGraph
• Vector Databases (FAISS, Pinecone, ChromaDB)
• Cloud AI platforms (Azure OpenAI, Vertex AI, AWS Bedrock)
• MLflow/Kubeflow
• SQL and REST APIs

Pay: ₹1,200,000\.00 \- ₹1,672,258\.15 per year

Work Location: Remote