(JD) Python / Machine Learning Engineer (Hands-On)

Position: Python / Machine Learning Engineer

Experience: 8-15 years Years (adjustable)

Location: Bangalore ( WFO)

Employment Type: Full-Time

Role Summary

We are looking for a highly skilled and hands-on Python / Machine Learning Engineer to design, develop, deploy, and optimize machine learning solutions. The ideal candidate should have robust Python programming expertise, experience building end-to-end ML pipelines, and the ability to work closely with business stakeholders, data scientists, and engineering teams.

Key Responsibilities

- Design, develop, and maintain scalable ML and AI solutions.
- Build and optimize data pipelines for model training and inference.
- Develop and deploy machine learning models in production environments.
- Implement model monitoring, performance tuning, and retraining strategies.
- Write clean, efficient, and reusable Python code following best practices.
- Work with structured and unstructured datasets for feature engineering and model development.
- Integrate ML services with APIs, applications, and cloud platforms.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Conduct model evaluation, validation, and experimentation.
- Stay updated with emerging AI/ML technologies and industry trends.

Required Skills

Programming

- Strong hands-on experience in Python




- Solid understanding of OOP, data structures, algorithms, and design patterns
- Experience with REST APIs and microservices

Machine Learning

- Hands-on experience with:
- Scikit-learn

- XGBoost/LightGBM

- TensorFlow or PyTorch

- Strong understanding of
- Supervised & Unsupervised Learning
- Classification & Regression

- Clustering

- Feature Engineering

- Model Evaluation Techniques

Data Engineering

- Pandas, NumPy
- SQL and database optimization
- Experience with ETL pipelines
- Exposure to Spark/PySpark is preferred

MLOps & Deployment

- Docker, Kubernetes
- MLflow, Kubeflow, or similar tools
- CI/CD pipelines
- Model deployment and monitoring

Cloud Platforms

- AWS / Azure / GCP
- Experience with cloud-native ML services is desirable

Good to Have

- Experience with Generative AI / LLMs
- LangChain, LlamaIndex, RAG architectures
- Vector databases (Pinecone, FAISS, ChromaDB, Weaviate)
- Prompt engineering and LLM evaluation
- NLP, Computer Vision, or Deep Learning projects
- Experience with Azure OpenAI or OpenAI APIs

Qualifications

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
- Proven experience building and deploying production-grade ML solutions.
- Strong problem-solving and analytical skills.

Excellent communication and stakeholder-management abilities

📌 ML Engineer (Bengaluru)
🏢 Moder Solutions
📍 Bengaluru