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

Requirements:
• 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

Benefits:
• Provident Fund
• Medical Inpatient & Outpatient Facilities
• Paid Overtime
• In-house Subsidized Lunch & Dinner
• Gym Facility
• Engaging Company Activities
• Sports Allowance