ML Engineer

Moder Solutions; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Moder Solutions in Bengaluru is seeking a highly hands-on Python / Machine Learning Engineer to design, develop, deploy and optimize end-to-end ML solutions. You will build scalable pipelines, integrate ML services with applications, and collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into robust models.

This role requires deep Python expertise, experience with ML libraries (scikit-learn, TensorFlow/PyTorch), data engineering skills, and

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.

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.

Skills

Python

REST APIs

OOP and DS

Algorithms

Education

Bachelor's or Master's degree in CS/DS/Engineering

Tools

Docker

Kubernetes

MLflow

Kubeflow

Spark/PySpark

Pandas

NumPy

Scikit-learn

TensorFlow / PyTorch

Job description

Job Description (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 strong 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