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Databricks Ml Engineer Jobs (NOW HIRING)

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications ... Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration ...

Apex Informatics

AI ML Engineer

With pyspark, PyTorch and LLM gen ai skill, ML ops Data Scientist (AI/ML Engineer) Required Skills ... learn and Databricks • 3+ years of experience applying NLP (transformers, gpt, etc) in a ...

Commence

Sr. AI/ML Engineer

Virginia Beach, VA · On-site

$175K - $200K/yr

Integrate AI/ML systems within Databricks (Workflows, Delta Lake, Unity Catalog) and AWS services ... Collaborate with Data Engineers, Data Scientists, and Software Engineers to define system ...

Lumen Solutions Group Inc.

AI/ML Engineer

They are seeking a Senior AI/ML Engineer to design and implement AI/ML models, develop generative ... Databricks expertise to drive platform adoption and accelerate the development of new use cases ...

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will ... AI, Databricks, or equivalent environments. * Strong analytical, problem-solving, and ...

Purple Drive

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Implement and automate scalable ML pipelines usingMLflow, AWS SageMaker, Databricks, and PySpark ... Data Engineering with PySpark: Optimize large-scale ETL workflows, data pipelines,and distributed ...

Parsons

AI/ML Engineer

Aberdeen, MD · On-site

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will ... AI, Databricks, or equivalent environments. * Strong analytical, problem-solving, and ...

Damco Solutions

Databricks Administrator

... data engineering, analytics, and AI/ML workloads. • This role ensures platform reliability, security, cost optimization, and compliance while supporting data engineers, analysts, and data ...

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Role: AI/ML Engineer Experience: 10+ Years Duration: 12 months Location: MC Lean , VA Skills ... Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud ...

Base One Technologies

The AI/ML Engineer

Arlington, VA · On-site

$100 - $125/hr

The AI/ML Engineer will develop and implement automation solutions to support machine learning ... Implement AI/LLM integrations with Databricks and other cloud services * Implement data integration ...

Northern Base

Senior AI ML Engineer

Irving, TX · On-site

$100K - $137K/yr

USC / GC Only ✅ Must-Have Qualifications: ✔ 8-20 years of experience in AI/ML Engineering, Applied AI, and Production AI Systems ✔ Strong hands-on experience with Databricks and Azure AI ...

Nwis

AI/ML Engineer

Arlington, VA · On-site

$99K - $206K/yr

... Databricks and other cloud services -Implement data integration automation between pilot and ... AI/ML data preparation and feature engineering automation -Develop monitoring and alerting ...

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Databricks Ml Engineer information

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How much do databricks ml engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for databricks ml engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Databricks Ml Engineer jobs?

For Databricks Ml Engineer jobs, the most frequently searched job titles are:

Infographic showing various Databricks Ml Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Principal AI / ML Engineer

Minneapolis, MN • On-site

NxT Level
See more jobs at NxT Levelexternal

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.
Qualifications:
  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:
  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:
  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.

Apply