Greetings From Ampstek, Job Opening: Software Engineer (AI / ML / Python) (Lead) Location: London, UK Mode: Hybrid (3 Days Onsite) Interested candidates can drop their CV at:shrutika.b@ampstek.com Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of software engineering experience with at least 3+ years in AI/ML-focused roles. Proficient in Python and key libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Strong experience with model training, evaluation, deployment, and monitoring. Solid understanding of software design principles, cloud platforms (AWS, Azure, GCP), and microservices architecture. Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Airflow). Excellent problem-solving skills and the ability to communicate complex ideas clearly. Preferred Qualifications: Experience working with large datasets, real-time data pipelines, and data engineering tools. Knowledge of deep learning, NLP, or computer vision. Experience leading agile teams and managing project timelines and deliverables. Contributions to open-source AI/ML projects or publications in relevant fields. Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions using Python and modern machine learning frameworks. Collaborate with cross-functional teams including product, data science, and DevOps to deliver high-quality software products. Drive the architecture and technical decisions for AI-based systems, ensuring scalability, performance, and maintainability. Mentor and guide junior engineers and contribute to team development through code reviews, technical sessions, and best practices. Conduct research and stay up to date with the latest trends and advancements in AI/ML. Optimize model training and inference pipelines for efficiency and performance. Work on MLOps best practices to automate model lifecycle management and deployment. Ensure data privacy, model fairness, and responsible AI practices are followed.