Senior Generative AI Engineer (Databricks Data Lake) at Whiteball

, , India -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Databricks, Data Engineering, MLOps, Machine Learning, Deep Learning, Python, SQL, Data Lakes, Cloud Platforms, AI Solutions, Data Quality, Governance, Scalability, CI/CD, Delta Lake

Industry

Description

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward. Role Overview We are seeking an experienced Senior Generative AI Engineer with a strong background in Databricks and data lake architectures. This individual will be responsible for designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions, leveraging large-scale datasets to create intelligent applications. The ideal candidate will combine deep expertise in AI/ML with proven hands-on experience in Databricks, including a solid foundation in data engineering, data lakes, and MLOps practices. This role is immediate-hire, and preference will be given to candidates who hold Databricks certifications and can demonstrate practical expertise in real-world implementations. The role is 100% remote. Responsibilities Design and implement GenAI models (LLMs, multimodal, embeddings, and fine-tuning) for enterprise use cases. Architect and optimize data pipelines and workflows in Databricks for large-scale AI training and inference. Manage and maintain data lakes on Databricks, ensuring data quality, governance, and scalability for AI workloads. Collaborate with data scientists, ML engineers, and product teams to translate business problems into AI-driven solutions. Implement MLOps pipelines for model deployment, monitoring, and lifecycle management in Databricks. Explore and evaluate state-of-the-art GenAI techniques and integrate them into scalable architectures. Optimize performance, scalability, and cost-effectiveness of AI systems in cloud environments (AWS/Azure/GCP). Contribute to technical strategy, mentorship, and best practices in AI and data engineering. 8+ years of professional experience in AI/ML engineering, data engineering, or related roles. Strong expertise with the Databricks platform, including: Databricks Workflows & Delta Lake Databricks ML Runtime & MLflow Databricks SQL Hands-on experience designing and managing data lakes at enterprise scale. Proficiency in Python (PySpark, Pandas, ML/AI libraries) and SQL. Solid background in Machine Learning, Deep Learning, and Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs, TensorFlow, PyTorch). Experience with MLOps practices, CI/CD pipelines, and cloud-native deployments. Strong knowledge of cloud platforms (AWS, Azure, or GCP) and data services. Excellent problem-solving skills and ability to design scalable AI solutions for complex datasets.

Responsibilities

The Senior Generative AI Engineer will design, develop, and deploy Generative AI solutions using large-scale datasets. Responsibilities include managing data lakes, collaborating with teams, and implementing MLOps pipelines.