Senior AI Engineer

Job Description Roles & Responsibilities 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. Desired Candidate Profile Education: Bachelor s or master s in computer science, AI, Machine Learning, Data Science, or related field. Experience: 5+ years in AI/ML engineering with proven project deployment. Programming: Strong proficiency in Python; knowledge of R, Java, or C++ is a plus. Frameworks & Libraries: TensorFlow, PyTorch, scikit-learn, Hugging Face, OpenAI APIs. MLOps & Deployment: CI/CD pipelines, Docker, Kubernetes, cloud platforms (AWS, Azure, GCP). Data & Databases: Experience with SQL/NoSQL, data preprocessing, big data tools (Spark, Hadoop). APIs & Integration: Experience building REST APIs / microservices for model deployment. Non-Technical Requirements: Strong problem-solving and analytical skills. 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. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior AI Engineer Get real-time job updates only on our App