Mid-Level Machine Learning Engineer at Blue Orange Digital

Job Description:

Latest job information from Blue Orange Digital for the position of Mid-Level Machine Learning Engineer. If the Mid-Level Machine Learning Engineer vacancy in United States matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Blue Orange Digital for the position of Mid-Level Machine Learning Engineer below matches your qualifications.

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Position Overview:
Blue Orange is seeking an experienced Machine Learning Engineer to drive our machine-learning and LLM Engineering initiatives. The ideal candidate possesses a deep passion for AI tech, strong Python and SQL skills, and a proven ability to deliver high-impact ML/AI and data science projects from ideation to production.

• Collaborate with cross-functional teams to understand business requirements and design to productionize machine learning, ML ops, traditional AI, LLMs, and agentic AI solutions into practical product-driven applications.
• Design and implement application integrations to leverage newly built machine learning, ML ops, traditional AI, LLMs, and agentic AI products.
• Build solutions that improve delivery speed and scalability of product pipelines.
• Leverage managed and serverless cloud offerings to create performant and scalable cloud-native application solutions and data pipelines.
• Design and implement advanced machine learning models using techniques like regression, classification, Bayesian methods, and Retrieval-Augmented Generation (RAG).
• Develop and deploy Agentic AI prototypes and other advanced machine learning solutions.
• Work closely with GenAI engineers to integrate prompt engineering and RAG components into production systems.
• Participate in customer engagement activities, clearly communicating technical concepts and project progress to stakeholders.

• Bachelor's degree or higher in Computer Science or a related field.
• 5+ years of industry experience as a hands-on practitioner in ML/AI, Data Science, or Data Engineering.
• Proven track record of successful delivery of ML/AI and data projects.
• Experience with NLP and LLM-based technologies and frameworks.
• Proficiency in programming languages such as Python and SQL (JavaScript a plus).
• Understanding and passion for Test Driven Design.
• Familiarity with ETL/ELT concepts and best practices.
• Experience with prompt engineering and RAG techniques a plus.
• Expertise in 2–3 major cloud and data platforms (e.g., AWS, GCP, Azure, Snowflake, or Databricks).
• Experience with Docker a plus.
• Effective communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.

• Fully remote
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with

Salary: USD $8,454 (adjustable based on experience)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal-opportunity employer.

Job Info:

• Company: Blue Orange Digital
• Position: Mid-Level Machine Learning Engineer
• Work Location: United States
• Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Mid-Level Machine Learning Engineer at the office United States above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.