We are hiring a Machine Learning Engineer on behalf of our client. This role involves designing, building, and deploying machine learning models into production systems at scale. It's a great opportunity for someone who enjoys turning research and data into real-world, impactful products, and who's comfortable working across the full ML lifecycle from experimentation to deployment.

Role & responsibilities

- Design, build, and optimize machine learning models for production use cases
- Develop and maintain ML pipelines for data preprocessing, training, and deployment
- Collaborate with data scientists to transition models from research to production
- Build and manage MLOps infrastructure (model versioning, CI/CD, monitoring)
- Optimize model performance for latency, scalability, and accuracy
- Work with large-scale datasets and distributed computing frameworks
- Deploy models as APIs/microservices and integrate with existing systems
- Monitor deployed models for drift,



performance degradation, and retraining needs
- Collaborate with product, engineering, and data teams to define ML-driven solutions
- Stay current with the latest ML/AI research, tools, and best practices

Preferred candidate profile

- 0 to 2 years of experience in machine learning engineering or related role
- Bachelor's/Master's degree in Computer Science, Data Science, Engineering, or related field
- Solid programming skills in Python (experience with Java/Scala a plus)
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of ML algorithms (supervised/unsupervised learning, deep learning, NLP, computer vision as relevant)
- Experience deploying models using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)

📌 Machine Learning Engineer (Pune)
🏢 Jobaaj.com
📍 Pune