Job Title: Senior AI Developer
Duration: 12 month long contract +extensions
Compensation: $65.00 - $70.00/hr
Location: 2 days onsite in Houston, Tx
Job Summary
We are seeking a highly experienced Senior AI Developer with strong Databricks expertise to lead the design, architecture, and implementation of scalable AI and data solutions. This role goes beyond development and requires ownership of end-to-end solution architecture within the Databricks Lakehouse ecosystem, ensuring high performance, scalability, and enterprise readiness.
Key Responsibilities
- Design and architect end-to-end AI/ML solutions on the Databricks Lakehouse Platform.
- Develop and optimize scalable data pipelines using Apache Spark and Databricks.
- Define and implement data architecture standards, including Delta Lake and Unity Catalog.
- Build and manage end-to-end ML pipelines (data ingestion, training, deployment, monitoring).
- Establish and implement MLOps frameworks using MLflow and CI/CD pipelines.
- Collaborate with business stakeholders to translate requirements into scalable AI solutions.
- Lead technical design discussions and provide architectural guidance across teams.
- Ensure performance optimization, cost efficiency, and reliability of Databricks workloads.
- Design batch and real-time processing systems (streaming, event-driven architectures).
- Integrate advanced AI capabilities such as LLMs and Generative AI into enterprise solutions.
- Enforce data governance, security, and compliance best practices.
- Mentor junior developers and contribute to team capability building.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 7+ years of experience in AI/ML, data engineering, or distributed systems.
- 3+ years of hands-on experience with Databricks.
- Strong expertise in Apache Spark (PySpark/Scala).
- Advanced programming skills in Python (Scala is a plus).
- Proven experience in solution design and architecture.
- Deep understanding of data lakehouse architecture, ETL/ELT pipelines, and data modeling.
- Experience with ML lifecycle management (MLflow, deployment, monitoring).
- Experience with cloud platforms (Azure, AWS, or GCP).
5-10 years96
Get Personalized Job Matches with 1 Click
Job Description
Download ResumeJob Title: Senior AI Developer
Duration: 12 month long contract +extensions
Compensation: $65.00 - $70.00/hr
Location: 2 days onsite in Houston, Tx
Job Summary
We are seeking a highly experienced Senior AI Developer with strong Databricks expertise to lead the design, architecture, and implementation of scalable AI and data solutions. This role goes beyond development and requires ownership of end-to-end solution architecture within the Databricks Lakehouse ecosystem, ensuring high performance, scalability, and enterprise readiness.
Key Responsibilities
- Design and architect end-to-end AI/ML solutions on the Databricks Lakehouse Platform.
- Develop and optimize scalable data pipelines using Apache Spark and Databricks.
- Define and implement data architecture standards, including Delta Lake and Unity Catalog.
- Build and manage end-to-end ML pipelines (data ingestion, training, deployment, monitoring).
- Establish and implement MLOps frameworks using MLflow and CI/CD pipelines.
- Collaborate with business stakeholders to translate requirements into scalable AI solutions.
- Lead technical design discussions and provide architectural guidance across teams.
- Ensure performance optimization, cost efficiency, and reliability of Databricks workloads.
- Design batch and real-time processing systems (streaming, event-driven architectures).
- Integrate advanced AI capabilities such as LLMs and Generative AI into enterprise solutions.
- Enforce data governance, security, and compliance best practices.
- Mentor junior developers and contribute to team capability building.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 7+ years of experience in AI/ML, data engineering, or distributed systems.
- 3+ years of hands-on experience with Databricks.
- Strong expertise in Apache Spark (PySpark/Scala).
- Advanced programming skills in Python (Scala is a plus).
- Proven experience in solution design and architecture.
- Deep understanding of data lakehouse architecture, ETL/ELT pipelines, and data modeling.
- Experience with ML lifecycle management (MLflow, deployment, monitoring).
- Experience with cloud platforms (Azure, AWS, or GCP).