AI/ML Engineer

We are seeking an experienced AI/ML Engineer with a strong background in Machine Learning, Data Science, Generative AI, and AI Agent frameworks. The ideal candidate will have extensive hands-on experience designing, developing, and deploying scalable machine learning solutions, with deep expertise in TensorFlow, Python, and modern AI technologies., * Design, develop, and deploy machine learning and deep learning models using TensorFlow and Keras.

• Build and implement Generative AI and Agentic AI solutions for complex business use cases.
• Collaborate with business stakeholders, data engineers, and software development teams to gather requirements and translate them into scalable AI solutions.
• Perform data analysis, data preprocessing, feature engineering, and model validation.
• Optimize and fine-tune machine learning models for performance, accuracy, and scalability.
• Develop and maintain ML pipelines for training, testing, deployment, and monitoring.
• Deploy AI/ML solutions on cloud platforms such as AWS or Google Cloud Platform (Google Cloud Platform).
• Stay current with emerging AI technologies, LLMs, Agentic AI frameworks, and industry best practices.
• Document technical designs, methodologies, and implementation processes.
• Mentor junior engineers and contribute to technical leadership initiatives.

This role requires a highly motivated professional who can collaborate with cross-functional teams, build production-ready AI solutions, optimize model performance, and drive innovation using the latest advancements in Artificial Intelligence and Machine Learning., * 10+ years of overall IT experience with strong expertise in AI/ML Engineering.

• Extensive experience with TensorFlow, Keras, and related ML ecosystems.
• Strong programming skills in Python.
• Hands-on experience with NumPy, Pandas, Scikit-learn, and other ML libraries.
• Solid understanding of supervised and unsupervised learning techniques.
• Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, RAG, and Agentic AI frameworks.
• Strong knowledge of data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
• Experience deploying ML models in production environments.
• Familiarity with cloud platforms such as AWS and Google Cloud Platform (Google Cloud Platform).
• Knowledge of MLOps practices and model lifecycle management.
• Strong analytical, problem-solving, and communication skills., * Master’’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Experience working with modern AI frameworks and LLM technologies.
• Experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.
• Exposure to AI governance, model monitoring, and responsible AI practices., * Bachelor’’s or Master’’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.