Job Title: Machine Learning Engineer (Databricks) – 2–4 Years Experience

Job Summary

We are looking for a Machine Learning Engineer with 2–4 years of experience to design, develop, and deploy AI/ML solutions on the Databricks Data Intelligence Platform

. The ideal candidate should have hands-on experience building machine learning models, developing ML pipelines, and deploying production-ready AI solutions using Python and modern ML frameworks. This role involves working closely with Data Engineers, Data Scientists, and business stakeholders to deliver scalable AI-driven solutions.

Key Responsibilities

- Design, develop, train, and deploy machine learning models to solve business problems.
- Build end-to-end AI/ML solutions using the Databricks Data Intelligence Platform .
- Develop scalable machine learning pipelines using Python , PySpark , and SQL .
- Perform data preprocessing, feature engineering, and dataset preparation for model training.
- Train, evaluate, fine-tune, and optimize machine learning models for performance and accuracy.
- Utilize MLflow for experiment tracking, model versioning, and lifecycle management.
- Deploy machine learning models to production and monitor model performance.
- Build and optimize data pipelines required for AI and machine learning workloads.
- Collaborate with Data Engineers, Data Scientists, and business stakeholders to understand business requirements and translate them into AI solutions.
- Develop and implement Generative AI solutions using Large Language Models (LLMs) , Retrieval-Augmented Generation (RAG) , and prompt engineering techniques where applicable.
- Perform model testing, validation, and continuous improvement to ensure reliability and scalability.
- Document machine learning models, technical designs, and deployment processes.
- Stay up to date with emerging AI, Machine Learning, and Databricks technologies.

Required Skills

- 2–4 years of experience in Machine Learning, AI, or Data Science.




- Hands-on experience with the Databricks Data Intelligence Platform .
- Robust programming skills in Python .
- Experience with PySpark , SQL , and a working understanding of Apache Spark .
- Experience developing machine learning models using scikit-learn , TensorFlow , or PyTorch .
- Understanding of supervised and unsupervised learning techniques.
- Knowledge of feature engineering, model evaluation, and model deployment.
- Familiarity with MLflow and the machine learning lifecycle.
- Good analytical, problem-solving, and communication skills.

Preferred Skills

- Experience with Generative AI , LLMs , RAG , AI agents, or prompt engineering.
- Exposure to vector databases and embedding models.
- Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform .
- Basic understanding of MLOps and CI/CD for machine learning.
- Familiarity with Azure AI services or cloud-based ML platforms.

Educational Qualification

- Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.

Required Certifications :

- Databricks Certified Machine Learning Associate
- Databricks Certified Data Engineer Associate

Preferred Certifications : Candidates with one or more of the following certifications will be preferred:

- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)

Key Competencies

- Strong analytical and problem-solving skills.
- Passion for AI and machine learning innovation.
- Effective communication and collaboration skills.
- Ability to learn and adapt to new technologies.
- Strong ownership, attention to detail, and commitment to delivering high-quality AI solutions.

This description is tailored for a 2–4 year Machine Learning Engineer who is expected to build, train, and deploy AI models while leveraging Databricks as the primary platform. It sets realistic expectations without requiring deep research or advanced MLOps expertise.

📌 Machine Learning Engineer (India)
🏢 Gala Solutions
📍 India