AI/ML Engineer
Experience: 7+Years Must
We are looking for an experienced AI/ML Engineer with expertise in Generative AI, Large Language Models (LLMs), Python, and Dataiku. The ideal candidate will design, develop, and deploy scalable AI/ML solutions while collaborating with cross-functional teams to solve complex business challenges.
Must-Have Skills
- OpenAI / Generative AI
- Large Language Models (LLMs)
- Dataiku
- Python
- Client Presentations
- Stakeholder Management
Key Responsibilities
- Identify high-impact business opportunities where Machine Learning, Deep Learning, and Generative AI can create value.
- Design, build, and deploy scalable, robust, and production-ready ML and LLM-based applications.
- Develop AI solutions using Python, OpenAI APIs, and Dataiku.
- Manage the complete machine learning lifecycle, including:
- Data ingestion
- Data preprocessing
- Feature engineering
- Model training and validation
- MLOps
- Deployment and monitoring
- Optimize AI models for performance, scalability, and reliability.
- Mentor junior data scientists and provide technical guidance to the AI/ML team.
- Collaborate with business stakeholders to understand requirements and deliver AI-driven solutions.
- Present technical concepts, project updates, and business insights to clients and senior stakeholders.
- Stay updated with the latest advancements in Artificial Intelligence, Generative AI, LLMs, and emerging technologies.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 7+ years of experience in AI/ML development.
- Strong programming skills in Python.
- Hands-on experience with Generative AI frameworks and OpenAI technologies.
- Experience working with Dataiku.
- Excellent analytical, communication, and stakeholder management skills.
- Ability to work independently and lead AI initiatives.
Pay: ₹150,000.00 - ₹200,000.00 per month
Application Question(s):
- How many years having Experience in Dataiku?
- CCTC?
- ECTC?
- Notice Period?
Work Location: Remote
