Senior Machine Learning Engineer

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. We partner with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions. Our team is fully remote, globally distributed, and driven by curiosity, impact, and innovation.

Company overview:

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 expert-level Machine Learning Engineer to address expanding opportunities, serving as a leader in LLM Engineering and Agentic AI. This senior role requires a candidate with extensive experience in the end-to-end ML/AI cycle, MLOps, LLMs, and a proven track record of designing and deploying complex, cloud-native data and ML/AI solutions. The candidate will mentor others and influence technical strategy.

Key Responsibilities:

• Lead the design and productionization of machine learning, ML ops, traditional AI, LLMs, and agentic AI solutions into scalable, product-driven applications, serving as a technical expert.

• Drive the implementation of complex application integrations to leverage and deploy machine learning, ML ops, traditional AI, LLMs, and agentic AI products.

• Define and implement architectural solutions that ensure the delivery speed and scalability of product and data pipelines.

• Lead the adoption of managed and serverless cloud offerings to create performant and scalable cloud-native application solutions and data pipelines.

• Lead the implementation of advanced machine learning models including regression, classification, Bayesian methods, Retrieval-Augmented Generation (RAG), and advanced Agentic AI architectures.

• Serve as a technical leader to integrate prompt engineering and RAG components into production systems, ensuring seamless and robust deployment.

• Serve as a key resource in client-facing consulting, driving customer engagement and influencing technical solutions for clients.

• Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, exploring innovative approaches to enhance machine learning, ML ops, traditional AI, LLMs, and agentic AI capabilities across the organization.

Requirements:

• 7+ years of industry experience as a hands-on practitioner in ML/AI, Data Science, or LLM/AI Engineering and proven experience with cloud offerings.

• 5+ years of experience with cloud platforms such as AWS.

• Extensive experience with the end-to-end ML/AI cycle, MLOps, and LLMs.

• Expertise in advanced machine learning techniques, data analytics, and feature engineering.

• Experience with NLP and LLM-based technologies and frameworks.

• Mastery of Python and advanced proficiency in SQL.

• Expertise in 3–5 major cloud and data platforms and exposure to all (AWS, GCP, Azure, Snowflake, and Databricks).

• Self-driven and autonomous with excellent problem-solving skills and critical thinking.

• Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders effectively.

• Proven ability to lead customer engagement and influence technical direction in a consulting environment.

• Bachelor's degree or higher in Computer Science or a related field.

Preferred Qualifications (for Senior Role):

• Advanced degree in a relevant field.

• Publications in relevant AI/ML communities and journals.

• Experience fine-tuning LLMs and deploying them (e.g., using MLFlow) a plus.

Benefits:

• 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 $9,486 (adjustable based on experience)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal-opportunity employer.