CodeVyasa
Website:
codevyasa.com
Job details:
Job Description
We are seeking a skilled Ai/ml engineer| pune having 6+ yrs 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:
- PyTorch
- TensorFlow
- OpenCV
- Pandas
- NumPy
- Experience in at least two of the following domains:
- Computer Vision
- Natural Language Processing (NLP)
- 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.
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