Machine Learning Engineer

Role: AI/ML Engineer/Lead Location: San Jose, CA - Hybrid 12-15 Years candidate Job Summary: We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment. Responsibilities: • Design, develop, and implement machine learning models using TensorFlow to solve complex business problems. • Collaborate with cross functional teams to gather requirements and translate them into technical specifications. • Conduct data analysis and preprocessing to ensure high quality input for machine learning algorithms. • Stay updated with the latest advancements in AI/ML technologies and apply them to enhance existing systems. • Optimize and fine tune models for performance and scalability. • Document processes, methodologies, and results to ensure knowledge sharing within the team. • Mentor junior team members and contribute to a culture of continuous learning and improvement. Mandatory Skills: • Strong expertise in TensorFlow, Keras and its ecosystem. • Proficient in Python and relevant libraries (e.g., NumPy, Pandas, Scikit learn). • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning. • Experience with data preprocessing, feature engineering, and model evaluation. • Familiarity with cloud platforms (e.g., Google Cloud, AWS) for deploying machine learning models. Qualifications: • Bachelor's or Master's degree in Computer Science, Data Science, or a related field. • 12-15 years of experience in AI/ML engineering or a related role. • Proven experience in developing and deploying machine learning models in production environments. • Excellent communication skills and the ability to work effectively in a team.