Software Engineer - AI/ML

Devsinc is looking for a Software Engineer – AI/ML who is passionate about designing and building intelligent, data-driven solutions.
The ideal candidate will have a strong foundation in machine learning and artificial intelligence concepts, hands-on experience with model development and deployment, and a solid understanding of software engineering best practices.
This role requires the ability to work across the full AI/ML lifecycle—from data preparation and model training to integration and optimization in production systems—while collaborating with cross-functional teams and mentoring junior engineers.
Key Responsibilities: Design, develop, and optimize machine learning models Work with structured and unstructured data for training and evaluation Implement ML solutions using Python Deploy models into production and integrate them with backend systems Monitor model performance and retrain when required Collaborate with cross-functional teams to translate business problems into ML solutions Write clean, maintainable, and well-documented code Participate in code reviews and technical discussions Provident Fund Medical Inpatient & Outpatient Facilities Paid Overtime In-house Subsidized Lunch & Dinner Gym Facility Engaging Company Activities Sports Allowance Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field.
2 years of hands-on experience in building, training, and deploying AI/ML models in real-world applications.
Strong programming skills in Python Solid understanding of machine learning fundamentals (supervised & unsupervised learning) Experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, or similar Knowledge of data preprocessing, feature engineering, and model evaluation Experience working with APIs or integrating ML models into applications Familiarity with SQL and data handling Experience with NLP, Computer Vision, or Generative AI Exposure to LLMs, prompt engineering, or fine-tuning Experience with MLOps, model versioning, or monitoring tools Familiarity with Docker and cloud platforms (AWS / GCP / Azure) Understanding of basic statistics and probability