AI Research & Innovation - Generative AI ML Architect_97011

Company:IT Services Organization

Key Skills: AI/ML, Machine Learning, Python, AWS/GCP/Azure Cloud, Deep Learning, MLOps, Docker, Kubernetes

Roles & Responsibilities:

• Design and implement advanced AI/ML solutions for complex business problems across industries.
• Develop and optimize Machine Learning and Deep Learning models using TensorFlow, Keras, and PyTorch.
• Build scalable data pipelines and ML workflows using Python, Spark, and PySpark.
• Deploy, monitor, and manage models on cloud platforms (AWS, Azure, GCP) including Vertex AI and BigQuery.
• Convert prototypes into scalable, production-ready AI solutions.
• Implement MLOps practices including CI/CD pipelines for model deployment and lifecycle management.
• Utilize containerization and orchestration tools like Docker and Kubernetes.
• Apply advanced statistical analysis, NLP, and text mining techniques.
• Collaborate with cross-functional teams to align AI solutions with business objectives.
• Drive innovation and research in Generative AI and emerging technologies.

Experience Required:

• 10 - 16 years of experience in AI/ML, Data Science, or related domains.
• Strong expertise in Machine Learning, Deep Learning, and Generative AI.
• Hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, Keras).
• Experience with cloud platforms (AWS, Azure, GCP) and ML services like Vertex AI.
• Strong experience in building and deploying scalable ML pipelines.
• Knowledge of MLOps, CI/CD, and model lifecycle management.
• Experience with big data tools like Spark/PySpark.
• Strong leadership, architecture design, and stakeholder management skills.
• Excellent problem-solving and analytical abilities.

Education: Any Graduation