Software Engineer - AI/ML
AI Summary
Software Engineer – AI/ML designs, builds, and optimizes ML models and integrates them into production systems, working across the full AI/ML lifecycle with data, training, deployment, and monitoring.
About this role
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
