Duties:Design, develop, and deploy advanced AI/ML models for real-world applications. Lead end-to-end AI solution lifecycle: data collection, preprocessing, modeling, evaluation, and deployment. Collaborate with data scientists, software engineers, and product managers to integrate AI into products. Implement MLOps best practices for automation, monitoring, and retraining of models. Research and evaluate new AI/ML frameworks, tools, and algorithms to enhance solutions. Ensure scalability, performance, and reliability of AI systems in production. Mentor and guide junior engineers to improve team capabilities.

Technical Requirements Bachelor’s or master’s in computer science, AI, Machine Learning, Data Science, or related field5+ years in AI/ML engineering with proven project deployment Strong proficiency in Python; knowledge of R, Java, or C++ is a plus Tensor Flow, PyTorch, scikit-learn, Hugging Face, Open AI APIsCI/CD pipelines, Docker, Kubernetes, cloud platforms (AWS, Azure, GCP) Experience with SQL/NoSQL, data preprocessing, big data tools (Spark, Hadoop) Experience building REST APIs / microservices for model deployment
. Non-Technical Requirements Strong problem-solving and analytical skill Ability to prioritize tasks and manage time effectively Excellent verbal and written communication skills Strong collaboration and teamwork mindset Demonstrated proactivity, ownership, and commitment to deliver results Interest in continuous learning and professional development Ability to mentor junior engineers and foster knowledge-sharing culture