Lead AI/ML Developer

Job Summary


Responsibilities

• Develop, train, and deploy ML models for predictive analytics, classification, and clustering.
• Implement AI solutions using TensorFlow, PyTorch, and Scikit-learn.
• Integrate Hugging Face transformer models for NLP tasks.
• Create chatbot solutions using Microsoft Teams and Azure AI.
• Utilize Apache Spark and Snowflake for big data analytics.
• Design and optimize ETL pipelines.
• Manage databases using SQL, MySQL, PostgreSQL, and MongoDB.
• Build data visualizations in Tableau and Power BI.
• Work with LLMs for conversational AI and summarization.
• Develop Agentic AI systems for autonomous decision-making.

Qualifications

• 7-10 yrs of experience applying AI to real-world projects.
• Experience in a lead role managing projects or mentoring.
• Expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficiency with data libraries like Pandas, NumPy, Matplotlib, Seaborn.
• Cloud experience in AWS, Azure, or Google Cloud.
• Big data experience with Apache Spark and Snowflake.
• Knowledge of NLP using Hugging Face and cloud-based AI services.
• Strong DB management and optimization skills.
• Experience with Tableau and Power BI.
• Bachelor s degree in Computer Science, Data Science, AI/ML, or related field.

Disclaimer: This job posting and 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.