AI Engineering & Research Intern

Candidates typically face a timed online aptitude test followed by a technical interview that probes deep learning fundamentals, Python coding ability, and understanding of financial data pipelines. The HR round focuses on cultural fit and motivation. Preparing with ML case studies and finance‑related examples helps candidates stand out.

Domyn fosters a research‑driven culture where curiosity is rewarded and cross‑functional collaboration is the norm. Employees enjoy a balanced work‑life schedule, regular knowledge‑sharing sessions, and clear pathways for skill development and promotion.

B.Tech/B.E. or M.Tech in Computer Science, Information Technology, Data Science, Electrical Engineering or related fields; minimum CGPA 7.0/10 (or 70%); batch year 2025; no active backlogs; strong foundation in algorithms, data structures and statistics; fluent English communication.

Round 1: Online Aptitude & Coding Test → Round 2: Technical Interview (ML concepts, Python coding, finance domain questions) → Round 3: HR Interview (culture fit, motivation)

Domyn SpA is a fast‑growing technology firm that focuses on Responsible AI for highly regulated sectors such as financial services, government, and heavy industry. Founded in Milan and now operating across New York, Milan and India, Domyn builds composable AI platforms that combine large language models, AI agents and custom‑built supercomputing resources. The company’s mission is to deliver fully governable, transparent AI solutions that meet strict compliance standards while driving real business value. With a strong emphasis on research, Domyn collaborates with academic institutions and industry partners to push the boundaries of trustworthy AI. The AI Engineering & Research Intern role is designed for bright engineering graduates who want to dive deep into cutting‑edge machine learning problems in the financial domain. As part of the AI team, you will assist senior researchers and engineers in designing experiments, implementing models, and evaluating their performance on structured financial datasets. This internship offers hands‑on exposure to the entire ML lifecycle—from data preprocessing and feature engineering to model deployment and monitoring—within a highly collaborative, international environment. Key Responsibilities: 1. Implement and fine‑tune machine learning and deep‑learning models using Python frameworks. 2. Run systematic experiments, track metrics, and analyze results to identify performance gaps. 3. Work closely with data engineers to ingest, clean, and transform large financial and structured datasets. 4. Evaluate model behavior on domain‑specific tasks such as credit risk scoring, fraud detection, and market prediction. 5. Contribute to the development of scalable ML pipelines and automated testing suites. 6. Document experiment designs, findings, and code for reproducibility. 7. Participate in code reviews and knowledge‑sharing sessions with the AI research team. 8. Stay updated with the latest research papers and propose novel approaches that could benefit Domyn’s product suite. 9. Assist in building prototypes that integrate LLMs and AI agents for financial use‑cases. 10. Support the team in preparing technical presentations for internal stakeholders. Tech Stack: Python, PyTorch/TensorFlow, Scikit‑learn, Pandas, NumPy, SQL, Docker, Git, AWS/GCP, MLflow, and Jupyter notebooks. The internship can lead to a full‑time role as a Junior AI Engineer or Data Scientist, depending on performance and business needs. Joining Domyn gives you the chance to work on real‑world financial AI problems, learn from seasoned researchers, and become part of a culture that values ethical AI, continuous learning, and global collaboration. Why Join Domyn? You will be at the forefront of responsible AI innovation, gain exposure to large‑scale infrastructure, and build a portfolio of projects that directly impact regulated industries. The international team offers mentorship, flexible work arrangements, and a clear growth trajectory for high‑performing interns.