Generative Ai Ml Architect

You will be responsible for designing and implementing advanced AI/ML solutions for complex business problems across industries. Your key responsibilities will include:

• Developing and optimizing Machine Learning and Deep Learning models using Tensor Flow, Keras, and Py Torch. - Building scalable data pipelines and ML workflows using Python, Spark, and Py Spark. - Deploying, monitoring, and managing models on cloud platforms (AWS, Azure, GCP) including Vertex AI and Big Query. - Converting prototypes into scalable, production-ready AI solutions. - Implementing MLOps practices including CI/CD pipelines for model deployment and lifecycle management. - Utilizing containerization and orchestration tools like Docker and Kubernetes. - Applying advanced statistical analysis, NLP, and text mining techniques. - Collaborating with cross-functional teams to align AI solutions with business objectives. - Driving innovation and research in Generative AI and emerging technologies. You should have 10 - 16 years of experience in AI/ML, Data Science, or related domains. Your qualifications should include:
• Strong expertise in Machine Learning, Deep Learning, and Generative AI. - Hands-on experience with Python and ML frameworks (Tensor Flow, Py Torch, 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/Py Spark. - Strong leadership, architecture design, and stakeholder management skills. - Excellent problem-solving and analytical abilities. Please note that the company is an IT Services Organization specializing in AI/ML technologies. You will be responsible for designing and implementing advanced AI/ML solutions for complex business problems across industries. Your key responsibilities will include: