Machine Learning Engineer
Rio de Janeiro, BR / São Paulo, BR / Mexico City, MX / Buenos Aires, AR / Brasília, BR-%LABEL POSITION TYPE REMOTE ANY%
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.
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 …
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Benefits/PerksCollaborative environment Cutting-Edge Projects Flexible schedule Fully remote Opportunity for impact Paid parental/bereavement leave Unlimited Paid Time Off
Tasks- Build
- Collaborate with data scientists
- Design
- Design AI solutions
- Develop machine learning framework
- Evaluate algorithms
- Experiment with RAG approaches
- Integrate components into production
- Lead prompt engineering
AI AI/ML AWS Azure Cloud platforms Data Analytics Techniques Data Science Data technologies Dbt GCP Hadoop LLMs Machine Learning ML Prompt Engineering PySpark Python PyTorch Retrieval-augmented generation Spark SQL TensorFlow XGBoost
Experience3 years
EducationAdvanced degree Bachelor's degree Business Computer Science Data Analytics Engineering Related Field
TimezonesAmerica/Argentina/Tucuman America/Cancun America/Hermosillo America/Manaus America/Mexico_City America/Rio_Branco America/Sao_Paulo America/Tijuana UTC-3 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8