CodeVyasa - AI/ML Engineer - Python

Job Description:We are seeking a skilled AI/ML engineer in Pune having 6+ years of experience with strong experience in designing and developing scalable enterprise applications.About Us:CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others.We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.Key Responsibilities:- Design, develop, and deploy scalable machine learning and deep learning models for production environments.- Build end-to-end AI/ML pipelines, from data preprocessing and model training to deployment and monitoring.- Develop RESTful APIs using FastAPI for serving ML models.- Work closely with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.- Optimize machine learning models for performance, scalability, and reliability.- Implement CI/CD pipelines and MLOps best practices for model deployment and lifecycle management.- Process and analyze large-scale datasets using distributed computing frameworks.- Evaluate, fine-tune, and deploy models for Computer Vision, NLP, or Predictive Analytics use cases.- Ensure high-quality code, documentation, and adherence to engineering best practices.Required Skills & Qualifications:- Strong proficiency in Python programming.- Hands-on experience with ML/DL libraries including:1. PyTorch2. TensorFlow3. OpenCV4. Pandas5. NumPy- Experience in at least two of the following domains:1. Computer Vision2. Natural Language Processing (NLP)3. Predictive Modeling- Strong experience developing APIs using FastAPI and REST APIs.- Hands-on experience with Docker and containerized deployments.- Experience with Big Data technologies such as PySpark, Hadoop, Hive, or Dask.- Strong understanding of SQL and NoSQL databases.Why Join CodeVyasa?:- Work on innovative, high-impact projects with leading global clients.- Exposure to modern technologies, scalable systems, and cloud-native architectures.- Continuous learning and upskilling opportunities through internal and external programs.- Supportive and collaborative work culture with flexible policies.- Competitive salary and comprehensive benefits package.- Free healthcare coverage for employees and dependents. (ref:hirist.tech)