COMPANY OVERVIEW:

Our Clients across the board are accelerating their impact with data, tech, and data science and game-changer products and services. We are looking for a GenAI Engineer to support the development of an AI platform and product in financial services and other industries.
Our team is tackling key questions, like - How can we ensure successful adoption, integration, and utilization of our ML/AI solutions by our clients and internal teams? How can we increase the rigor and scalability of our products to unlock maximum value for our business? This opportunity is with a multi-client consulting data firm in a growing team, with a start-up mentality operating in an organization who values speed, agility, and impact while transforming the culture of the larger organizations around us.
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:

Blue Orange is seeking to expand our Team of expert consultants with an experienced Machine Learning Engineer to address a set of expanding opportunities in the next several months. The ideal candidate will possess a deep passion for machine learning, AI tech and innovative data solutions with proficiency in advanced machine learning techniques, strong skills in programming languages such as Python, expertise around data analytics and feature engineering, experience working with some of the main ML and D frameworks, a proven track record of working with cloud-native solutions in at least 1 of the main clouds (AWS, GCP, Azure, or Snowflake, etc.), MLOps and LLMs, and strong proficiency in the end-to-end ML/AI cycle, from ideation to production. The candidate will play a crucial role in driving our machine-learning initiatives forward.
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.

REQUIREMENTS:

• Experience with NLP and LLM-based technologies and frameworks.
• Proficiency in programming languages such as Python and JavaScript preferred.
• Proven track record of successful delivery of software engineering projects.
• Ability to think and learn on your feet and the ability to quickly become proficient with new technologies in a fast-paced environment.
• Understanding and passion for Test Driven Design.
• Familiarity with ETL concepts and best practices.
• Experience with prompt engineering and RAG techniques preferred.
• Excellent problem-solving skills, critical thinking abilities, and attention to detail.
• Effective communication skills and the ability to collaborate effectively in a team environment.
• Passion for AI and a desire to contribute to the advancement of Gen AI technologies.
• Strong problem-solving and analytical skills.
• Self-driven and autonomous.
• Excellent verbal and written communication skills.
• Team player.
• Eagerness to learn and adapt in a fast-paced environment.
• 5+ years of industry experience as a hands-on practitioner of software engineering and proven experience with cloud offerings.
• 3+ years of experience with cloud platforms such as AWS.
• Experience with Docker preferred.
• Bachelor’s degree or higher in Computer Science or a related field.

PREFERRED QUALIFICATIONS:

• Advanced degree in a relevant field.
• Publications in relevant AI/ML communities and journals.
• Experience fine-tuning OpenSource LLMs and deploying them.
• MLFlow, etc. a plus.

• Collaborate with cross-functional teams to understand business requirements and design to productionize Gen AI solutions into practical product driven applications.
• Design and implement application integrations to leverage newly build GenAI 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.
• Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs.
• Work closely with GenAI engineers and researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment.
• Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, and explore innovative approaches to enhance Gen AI capabilities.