Databricks AI Engineer - Chennai - GOM

India·Chennaimid

Machine Learning EngineerData

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Overview

Job Title: Databricks AI EngineerExperience: 7+ YearsLocation: Chennai – Hybrid (3 Days/Week) Notice Period: Immediate to 30 daysWork Type: Full-timeAbout the Company:Our client is a global digital transformation and marketing technology services firm that helps enterprises deliver personalized,…

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Job Title: Databricks AI Engineer
Experience: 7+ Years
Location: Chennai – Hybrid (3 Days/Week)

Notice Period: Immediate to 30 days
Work Type: Full-time

About the Company:
Our client is a global digital transformation and marketing technology services firm that helps enterprises deliver personalized, data-driven customer experiences. With strong capabilities across engineering, cloud, data, and experience design, the company partners with leading brands to build scalable, high-performance digital platforms. Their teams work on complex, high-traffic web applications using modern architectures and cloud-native technologies.

Role Overview:
We are seeking a highly skilled Databricks AI Engineer to design, develop, and optimize advanced AI and ML solutions on the Databricks platform. The ideal candidate will have strong expertise in data engineering, machine learning, natural language processing, and computer vision, with hands-on experience in building and deploying scalable models using Databricks tools and frameworks.

Key Responsibilities:

Design and implement scalable AI/ML solutions using Databricks, MLflow, Delta Lake, and Lakehouse AI.
Develop and deploy machine learning models (classical ML, deep learning, and generative AI) for business applications.
Collaborate with data scientists and engineers to prepare, clean, and manage large datasets for analysis and modeling.
Implement NLP and Computer Vision solutions using frameworks like Hugging Face, YOLO, and ResNet.
Manage model lifecycle including experimentation, versioning, deployment, and monitoring in Databricks.
Ensure data governance and compliance using Unity Catalog and Feature Store.

Required Skills:

Proficient in Python and SQL for data analysis, modeling, and database management.
Experience with regression, decision trees, SVM, deep learning (CNNs, RNNs, Transformers), and advanced AI (GNNs, RL, GANs, LLMs such as GPT-4, Claude, LLaMA).
Strong in NLP (NER, sentiment analysis, summarization) and computer vision (YOLO, ResNet, segmentation, OCR).
Hands-on with TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, Spark MLlib.
Expertise in Databricks Notebooks, MLflow, AutoML, Delta Lake, Unity Catalog, Feature Store, Model Serving, and Lakehouse AI.

Eligibility / Qualifications: