Ai/ml engineer

Job DescriptionWe are seeking a skilled Ai/ml engineer| pune having 6+ yrs with strong experience in designing and developing scalable enterprise applications.About UsCodeVyasa 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 ResponsibilitiesDesign, 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 & QualificationsStrong proficiency in Python programming.Hands-on experience with ML/DL libraries including:PyTorchTensorFlowOpenCVPandasNumPyExperience in at least two of the following domains:Computer VisionNatural Language Processing (NLP)Predictive ModelingStrong 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.