FreshRemote.Work

GenAI Engineer

São Paulo, BR / Rio de Janeiro, BR / Santiago, CL / Bogotá, CO / Cali, CO-%LABEL POSITION TYPE REMOTE WITHIN%

Company Overview:

Our Client’s global analytics and AI team is 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.

Our team is tackling key questions, like - How can we ensure the 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 in a growing team, a start-up mentality operating in a large organization that 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 500s, 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 seeks an experienced GenAI Engineer to expand our dynamic multi-disciplinary team. 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.

This is a full-time fully remote position for Latin American-based applicants within +/- 2 hours of Eastern Standard Time Zones (NYC). Resume must demonstrate professional English ability.

Responsibilities:

  • Collaborate with cross-functional teams to understand business requirements and design GenAI 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 GenAI systems.
  • Implement scalable and efficient data pipelines to process and transform raw data into usable inputs for AI models.
  • 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.
  • 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 GenAI capabilities.

Requirements:

  • Experience with NLP and LLM-based technologies and frameworks.
  • 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.
  • Proficiency in programming languages such as Python, PySpark, and SQL.
  • Strong understanding of statistical concepts, hypothesis testing, and experimental design.
  • Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
  • 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 GenAI 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.
  • 2+ years of industry experience as a hands-on practitioner of machine learning engineering, and proven experience with GenAI systems.
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Mathematics, 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.

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 $4750 - $6375 (monthly salary range)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal opportunity employer.

Apply

Job Profile

Regions

South America

Countries

Brazil Chile Colombia

Benefits/Perks

Cutting-Edge Projects Flexible schedule Fully remote Paid parental/bereavement leave Top-notch team Top-notch team to learn and grow with Unlimited Paid Time Off Worldwide recognized clients

Skills

AI AWS Azure Cloud-native solutions Data & Analytics Data Science Feature Engineering GCP LLMs Machine Learning MLOps Python Snowflake SQL

Tasks
  • Collaborate with cross functional teams
  • Experiment with RAG approaches
  • Implement data pipelines
  • Integrate components into production systems
  • Lead refinement of engineering techniques
  • Select appropriate algorithms and methodologies
  • Stay updated with latest advancements
Education

Bachelor's Business Computer Science Engineering Related Field

Restrictions

Remote within Latin America +/- 2 hours of Eastern Standard Time Zones (NYC)

Timezones

America/Bogota America/Manaus America/Rio_Branco America/Sao_Paulo UTC-3 UTC-4 UTC-5