AI Engineer / Developer

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & AI concepts) → Round 3: HR Interview

Ametek promotes a collaborative work environment where engineers are encouraged to experiment and share ideas. Employees enjoy a balanced mix of challenging projects and supportive mentorship, with clear pathways for skill development and career growth.

Ametek’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on Python coding, data structures, and AI concepts such as NLP and RAG. The final HR round assesses cultural fit and communication skills. Candidates are advised to practice coding problems, review AI fundamentals, and be ready to discuss recent projects.

Graduates (B.Tech/B.E., B.Sc., M.Tech, or M.Sc.) in Computer Science, Information Technology, Electronics, Electrical, or related engineering streams; minimum 60% aggregate (or CGPA 6.5/10); final year students of 2025‑2027 batches eligible; no active backlogs at the time of joining; strong foundation in programming and data structures.

Ametek is a global leader in electronic instruments and electromechanical devices, serving industries such as aerospace, defense, medical, and industrial automation. With a strong presence in India, Ametek’s Bengaluru campus focuses on cutting‑edge research and development, fostering an environment where innovation meets real‑world impact. The company prides itself on a collaborative culture, continuous learning, and a commitment to delivering high‑performance solutions that power critical applications worldwide. Employees benefit from exposure to diverse projects, mentorship from seasoned engineers, and opportunities to work with the latest technologies in AI and data engineering. The AI Engineer / Developer role is designed for fresh graduates who are eager to dive into the world of artificial intelligence and machine learning. As a member of the AI Solutions team, you will be responsible for building end‑to‑end pipelines that transform raw data into actionable insights. You will work closely with product managers, data scientists, and senior engineers to design, develop, and maintain components that power intelligent applications across Ametek’s product portfolio. Key Responsibilities: 1. Implement well‑defined components in Python, including data preparation scripts, document‑processing pipelines, Retrieval‑Augmented Generation (RAG) modules, prompt engineering, and RESTful APIs. 2. Write clean, modular, and testable code adhering to the team’s coding standards and version‑control practices. 3. Support testing and evaluation of AI solutions, documenting results, code, and deployment setups clearly for reproducibility. 4. Quickly learn and adapt to the team’s tools, platforms, and domain knowledge, ensuring seamless integration with existing systems. 5. Stay updated with the latest AI tools, frameworks, and research trends, sharing valuable insights with the team. 6. Participate in code reviews, incorporate feedback, and continuously improve code quality. 7. Collaborate with cross‑functional teams to understand business requirements and translate them into technical specifications. 8. Ensure compliance with data security, privacy, and regulatory standards throughout the development lifecycle. 9. Contribute to internal knowledge bases, write technical documentation, and mentor peers as the team grows. 10. Assist in the deployment and monitoring of AI services in production environments. Tech Stack: Python, Pandas, NumPy, PyTorch/TensorFlow, LangChain, FastAPI, Docker, Git, CI/CD pipelines, cloud platforms (AWS/GCP), and vector databases for RAG. Growth Path: Starting as an AI Engineer, you can progress to Senior AI Engineer, AI Solution Architect, or Product Lead, with opportunities to lead large‑scale AI initiatives and influence product strategy. Why Join Ametek? You will work on mission‑critical AI applications, receive mentorship from industry veterans, and enjoy a culture that values curiosity, innovation, and work‑life balance. The role offers a competitive salary range of 6‑10 LPA, exposure to global projects, and a clear career trajectory within a reputable multinational organization.