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 challenges into scalable machine learning applications.

Model Monitoring & Optimization:

- Monitor model performance, latency, drift, and reliability in production.
- Continuously improve deployed models through retraining and optimization.
- Implement logging, monitoring, and alerting mechanisms for ML systems.

Research & Innovation:

- Stay updated with the latest advancements in Machine Learning, Deep Learning, Generative AI, and MLOps.
- Evaluate and integrate new frameworks, tools, and best practices into existing workflows.

Required Skills & Experience:

- 4-6 years of hands-on experience in Machine Learning Engineering, Applied Machine Learning, or related roles.
- Strong proficiency in Python.
- experience with Pandas, NumPy, Scikit-learn,



and related Python libraries.
- Hands-on experience with: TensorFlow, PyTorch, Keras, XGBoost.
- Practical experience with one or more cloud platforms: AWS, Google Cloud Platform (GCP), Microsoft Azure
- Experience with Amazon SageMaker, Vertex AI, or Azure Machine Learning is an added advantage.
- Experience with: Docker, Kubernetes, FastAPI or Flask, CI/CD pipelines for ML applications, Model versioning and deployment strategies.
- Strong knowledge of SQL and NoSQL databases.
- Familiarity with Apache Spark and Hadoop is preferred.
- Experience processing large-scale datasets.

Preferred Skills:

- Hands-on experience with Large Language Models (LLMs).
- Experience using LangChain, LlamaIndex, or similar orchestration frameworks.
- Knowledge of Vector Databases such as Pinecone, Weaviate, or Milvus.
- Experience in NLP, Computer Vision, Recommendation Systems, or Generative AI applications.
- Familiarity with experimentation frameworks, A/B testing, and model evaluation methodologies.

Educational Qualification:

- Bachelor's or Master's degree (B.Tech/M.Tech) in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.

Skills: Machine Learning, Docker, Artificial Intelligence, Apache Spark, Kubernetes, Flask, Pandas, Tensorflow, Keras, Google Cloud Platform, FastAPI, Scikit Learn, Pytorch, Llm, XGBoost, Azure, Software Engineering, Aws, Python, Hadoop, Artificial Intelligence and Machine Learning

Experience: 4.00-6.00 Years

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