Experience Required 8-10 years in IT with a minimum of 8 years focused on AI ML solutions architecture development and deployment Key Responsibilities Architect and design robust large-scale AI ML solutions across multiple domains including Generative AI Lead and oversee the complete machine learning lifecycle encompassing data ingestion feature engineering model development deployment and continuous monitoring Partner with business and technical stakeholders to translate requirements into scalable and effective ML systems Establish and enforce best practices standards and governance frameworks for ML pipelines MLOps and data platform management Provide mentorship and technical guidance to data scientists ML engineers and solution architects Assess emerging AI ML technologies and drive their adoption within enterprise environments Ensure AI ML solutions meet security compliance and performance benchmarks Required Skills Qualifications Deep expertise in Generative AI Agentic AI machine learning deep learning NLP and big data ecosystems Proficiency with ML frameworks such as TensorFlow PyTorch and Scikit-learn cloud AI platforms including AWS Azure and GCP and MLOps tools like Kubeflow MLflow Airflow Docker and Kubernetes Strong understanding of data architecture API design and scalable microservices Hands-on programming experience in Python or equivalent languages Proven experience delivering enterprise-scale AI ML solutions Excellent leadership abilities with strong stakeholder management and communication skills

📌 Associate Process Manager (Maharashtra)
🏢 eClerx
📍 Maharashtra