Title: Machine Learning Engineer
Location: Gurgaon, Haryana (Onsite/Hybrid)
Experience:
- 4-6 years of hands-on experience in Machine Learning Engineering, Applied Machine Learning, or related roles.
- Experience with Pandas, NumPy, Scikit-learn, and related Python libraries.
- Hands-on experience with Large Language Models (LLMs).
- Robust proficiency in Python.

About the Role:
We are seeking a highly motivated Machine Learning Engineer with 4-6 years of experience to design, build, deploy, and optimize scalable machine learning solutions that solve real-world business problems. The ideal candidate has hands-on experience in developing production-grade ML models, implementing MLOps best practices, and collaborating with cross-functional teams to deliver AI-driven products.
Key Responsibilities:
Machine Learning Development:
- Design, develop, train, and optimize Machine Learning and Deep Learning models for classification, regression, forecasting, NLP, and computer vision applications.
- Perform feature engineering, model selection, hyperparameter tuning,



and performance evaluation.
- Conduct experiments and improve model accuracy, scalability, and reliability.

Model Deployment & MLOps:
- Deploy, monitor, and maintain ML models in production environments.
- Build and manage end-to-end ML pipelines using MLOps best practices.
- Implement CI/CD workflows for machine learning applications.
- Containerize applications using Docker and orchestrate deployments with Kubernetes.

Data Engineering & Processing:
- Work with structured and unstructured datasets to build scalable data pipelines.
- Process and analyze large datasets using SQL and distributed data processing tools.
- Collaborate with data engineering teams to ensure high-quality data availability.

Cross-functional Collaboration:
- Partner with Data Scientists, Product Managers, Backend Engineers, and Business stakeholders to understand requirements and deliver ML-powered solutions.
- Translate business challe

📌 Machine Learning Engineer – AI/ML (Gurugram)
🏢 Mepa2z
📍 Gurugram