Machine Learning Engineer

at Blue Orange Digital
  • $83k-$92k
  • Remote - Brazil, Mexico

Remote

Software Development

Mid-level

Job description

Company overview:

Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500’s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company.

Position overview:

Our Client’s AI team is bringing together data, tech, and data science to build game-changing products and services to accelerate impact with their customers. We are looking for a Machine Learning (ML) Engineer to join their AI Team and support the development of products that serve the needs of their customers, including those in the financial services.

The team is tackling key questions, like - How to ensure successful adoption, integration, and utilization of our ML/AI solutions by our clients and internal teams? How to increase the rigor and scalability of our products to unlock maximum value for our business?

As a growing team, we embrace a start-up mentality while operating in a large organization. We value speed, agility, and impact – and our results and ways of working are transforming the culture of the larger organizations around us. The candidate will have excellent communication skills to collaborate with technical and non-technical stakeholders effectively.

At Blue Orange, you’ll have the opportunity to work on cutting-edge projects, leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.

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

Responsibilities:

  • Develop and maintain a scalable machine learning framework for data science products
  • Work closely with our data scientists to pilot our products with beta customers
  • Collaborate with cross-functional teams to understand business requirements and design Gen AI solutions that address complex challenges
  • Evaluate and select appropriate algorithms and methodologies to solve specific problems and optimize performance
  • Lead the refinement and iteration of prompt engineering techniques to enhance the effectiveness and efficiency of Gen AI systems
  • Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs
  • Work closely with software engineers and AI researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment

Requirements:

  • Experience with common data science algorithms and processes (e.g., xgboost, hyperparameter tuning)
  • Advanced knowledge in Python/PySpark and SQL
  • Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)
  • Experience with prompt engineering techniques and experience in refining and iterating on prompts for AI models
  • Knowledge of retrieval-augmented generation (RAG) methodologies and experience in implementing RAG-based approaches for text generation tasks
  • Interest or previous experience in financial services and/or credit modeling
  • Excellent problem-solving skills, critical thinking abilities, and attention to detail
  • Effective communication skills and the ability to collaborate effectively in a team environment
  • 3+ years of industry experience as a hands-on practitioner of machine learning engineering
  • Proven experience with Gen AI systems
  • Bachelor’s degree in computer science, engineering, or a related field
  • Preferred qualifications:
  • Advanced degree in a relevant field.
  • Publications in relevant AI/ML communities and journals.
  • Deep Learning Expertise Tensorflow and/or Pytorch
  • Experience Fine-tuning OpenSource LLMs and deploying them.
  • Great Expectations and/or DBT is 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 $6950 - $7700 (monthly salary range)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal-opportunity employer.

Share this job:
Please let Blue Orange Digital know you found this job on Remote First Jobs 🙏
Blue Orange Digital logo

Blue Orange Digital

  • 51-200 employees
  • Founded in 2015
  • 2 remote jobs

Benefits of using Remote First Jobs

Discover Hidden Jobs

Unique jobs you won't find on other job boards.

Advanced Filters

Filter by category, benefits, seniority, and more.

Priority Job Alerts

Get timely alerts for new job openings every day.

Manage Your Job Hunt

Save jobs you like and keep a simple list of your applications.

Search remote, work from home, 100% online jobs

We help you connect with top remote-first companies.

Search jobs

Hiring remote talent? Post a job

Frequently Asked Questions

What makes Remote First Jobs different from other job boards?

Unlike other job boards that only show jobs from companies that pay to post, we actively scan over 20,000 companies to find remote positions. This means you get access to thousands more jobs, including ones from companies that don't typically post on traditional job boards. Our platform is dedicated to fully remote positions, focusing on companies that have adopted remote work as their standard practice.

How often are new jobs added?

New jobs are constantly being added as our system checks company websites every day. We process thousands of jobs daily to ensure you have access to the most up-to-date remote job listings. Our algorithms scan over 20,000 different sources daily, adding jobs to the board the moment they appear.

Can I trust the job listings on Remote First Jobs?

Yes! We verify all job listings and companies to ensure they're legitimate. Our system automatically filters out spam, junk, and fake jobs to ensure you only see real remote opportunities.

Can I suggest companies to be added to your search?

Yes! We're always looking to expand our listings and appreciate suggestions from our community. If you know of companies offering remote positions that should be included in our search, please let us know. We actively work to increase our coverage of remote job opportunities.

How do I apply for jobs?

When you find a job you're interested in, simply click the 'Apply Now' button on the job listing. This will take you directly to the company's application page. We kindly ask you to mention that you found the position through Remote First Jobs when applying, as it helps us grow and improve our service 🙏

Apply