AI Engineer with Databricks

Hello

We have this open requirement as this is the top priority the client is looking for us to close this position so please try to work on this role and submit the profiles and please let me know if you have submitted any profiles let me know the names which are not yet scheduled the interviews so that we can check and schedule the interviews ASAP.

Note : Without skill matrix submit is not valid so please while submitting the profile please get the skill matrix and attach without fail

Must have skills for this role : Gen AI implementing Data Bricks python Pyspark data assets basic knowledge on Mosaic AI Azure Kubernetes

Job Description : AI Engineer with Databricks

Location : King of Prussia PA (Only Locals No relocation) full onsite

Rate : 80 on C2C

Client : Harsco Clean

Visa : Any (No OPT AND CPT) GC candidate DOB should be before 1989 ( Lot of fake profiles in the market on GC so please recheck and share the profiles)

We are seeking a highly skilled AI Engineer with proven experience in developing deploying and optimizing AI models using the Databricks AI platform. The ideal candidate will have a strong background in machine learning distributed data processing and will be a champion of Databricks platform.

Responsibilities

• Generative AI : Experience of LLM-based solutions (LlamaIndex LangChain RAG pipelines or similar frameworks). Ability to integrate GenAI and Agentic AI into business workflows.
• Design and implement end-to-end Generative AI solutions on Databricks leveraging Unity Catalog MLflow Delta Lake and Vector Search
• Design build and deploy large-scale AI / ML models using the Databricks environment.
• Implement data validation lineage and monitoring using Delta Live Tables and Unity Catalog.
• Leverage Databricks data engineering workflows for feature engineering model training and evaluation.
• Optimize training pipelines for efficiency scalability and accuracy.
• Integrate AI models into production systems using APIs and microservices.
• Build reusable ML pipelines using Databricks Repos MLflow and Feature Store.
• Implement robust testing monitoring and retraining protocols for deployed models.
• Ensure adherence to compliance security and performance standards.
• Stay updated on advancements in AI frameworks distributed computing and Databricks platform updates.

Required Skills and Qualifications

Skill Matrix : Skills

Years of exp

Gen AI implementing Databricks

Databricks

Knowledge on Mosaic AI

Python

Pyspark

Azure

Kubernetes

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1