Senior AIML Engineer (Data Science & MLOps)

How you should be?

A well-rounded AI/ML engineer with strong depth in model development and evaluation, and the ability to take solutions from data analysis to production deployment.

You combine analytical thinking with engineering rigor to build accurate, scalable, and production-ready ML systems. You are comfortable experimenting with models, improving their performance, and operationalizing them with robust pipelines, monitoring, and best practices, while also mentoring team members and contributing to architecture.

What you will do?

Data Science & Modeling + ML Engineering & Development:

• Perform EDA, data cleaning, and preprocessing
• Design, develop, and evaluate ML/DL models for real-world use cases
• Apply feature engineering, model selection, and hyperparameter tuning
• Optimize models for accuracy, latency, and scalability
• Build production-ready ML systems and APIs
• Develop scalable data pipelines and feature workflows
• Work across predictive analytics, NLP/LLMs, and computer vision use cases

MLOps & Deployment:

• Design end-to-end ML pipelines (training → deployment → monitoring)
• Implement CI/CD, model versioning, and experiment tracking
• Deploy using Docker, Kubernetes, and cloud platforms
• Monitor model performance, drift, and system health

Collaboration & Leadership:

• Work with cross-functional teams and contribute to architecture/pre-sales
• Mentor junior team members and define AI/ML best practices
• Drive AI adoption and build reusable frameworks

Who Are We Looking for?

Data Science Expertise & ML Engineering Skills:

• Strong foundation in statistics, probability, and ML algorithms
• Hands-on experience with Pandas, NumPy, and visualization tools
• Experience with Scikit-learn, TensorFlow, or PyTorch
• Strong understanding of model evaluation, validation, and performance optimization
• Proficiency in Python and building production-grade ML systems/APIs
• Understanding of scalable system design and backend integration (FastAPI/Flask)

MLOps & Cloud + Data Engineering Basics:

• Experience with MLflow, Kubeflow, Airflow
• Familiarity with Docker, Kubernetes, and CI/CD tools
• Exposure to AWS/Azure/GCP
• Knowledge of SQL/NoSQL and data pipelines (batch/streaming)
• Exposure to Spark (preferred)

Experience & Soft Skills:

• 4–6 years total experience with 3+ years in AI/ML roles (more towards ML)
• Strong problem-solving, communication, and mentoring skills

Good to have:

• Exposure to GenAI/LLMs, RAG, and vector databases
• Experience with feature stores, real-time ML systems, or multi-tenant platforms

About Company

Founded in 2000, Radixweb is a leading software development company serving over 2900 clients in 25 countries. Join us to work on challenging projects, standardized processes, and fun work culture.

• In addition, have an exposure of our home-grown globally acclaimed PHP based web to print solution- https://www.onprintshop.com/ developed to simplify print order management from client order to shipping. Recognized as solution partners by reputed brands in the print industry and serving small to largest printers across the world.
• Opportunity to work on latest technologies
• Technology and team-based well-managed training & development process
• A strong and committed team of 650+ employee
• 70+ Employees working with us for 5+ Years
• 25+ employees working with us for 10+ Years
• Flexible shift timings with lucrative compensation
• Transparent Appraisal process
• Exclusive soft skill training by professional Trainer.