How you should be?
A passionate Machine Learning Engineer with a strong engineering mindset and hands-on experience in building, deploying, and monitoring production-grade machine learning solutions. You enjoy solving complex business problems, developing scalable AI applications, and following modern MLOps practices to deliver reliable, high-performing ML systems.
What you will do?
- Develop predictive, forecasting, and optimization machine learning models for business applications.
- Design, build, and maintain feature engineering and data processing pipelines.
- Deploy, monitor, and optimize machine learning models in production environments.
- Build scalable inference pipelines to efficiently serve ML predictions.
- Manage experiments, model versioning, and lifecycle using MLflow.
- Integrate machine learning solutions with enterprise applications and workflows.
- Collaborate with cross-functional teams to deliver scalable and reliable ML solutions.
- Follow MLOps best practices to improve model performance, reliability, and maintainability.
What we are looking for?
- 4+ years of experience in Machine Learning Engineering, Data Science, or related roles.
- Mandatory: Hands-on experience building, deploying, and monitoring production-grade machine learning models. Candidates with only academic projects, Kaggle experience, or research-focused backgrounds without production deployment experience will not be considered.
- Strong experience with MLflow for experiment tracking and model lifecycle management.
- Expertise in time-series forecasting, predictive modeling, feature engineering, and inference pipeline development.
- Proficiency in Python, SQL, Scikit-learn, and PyTorch or TensorFlow.
- Experience with FastAPI/Flask, Docker, and Git for model deployment and management.
- Strong understanding of Machine Learning Model Development, Model Evaluation, Hyperparameter Tuning, and Inference Pipelines.
- Knowledge of AI Agents, LLMs, RAG Fundamentals, XGBoost, and LightGBM.
- Familiarity with MLOps, Kubernetes, AWS/Azure/GCP, Hugging Face, SHAP/LIME, OR-Tools, and SimPy will be an added advantage.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Strong analytical, problem-solving, communication, and collaboration skills.
About the 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 ordering 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
- Strong and committed team of 650 + employees
- 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