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Senior AI/ML Engineer

100% Remote Full-time Open now

Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.

As a Senior GenAI Developer at Incorta, you'll lead the creation of cutting-edge generative AI solutions leveraging Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). You will play a key role in developing agentic solutions that empower our customers by enhancing decision-making processes and optimizing their analytics workflows.

YOU WILL

  • Data Analysis & Modeling: Collect, clean, and analyze large datasets to identify trends, patterns, and insights.
  • Machine Learning & AI: Develop and deploy predictive models, recommendation systems, and AI-driven solutions.
  • Architected, developed, and deployed GenAI solutions integrated with RAG and LLM frameworks.
  • Design and engineer sophisticated prompts and fine-tune LLMs to achieve optimal performance.
  • Business Impact: Work closely with product, marketing, and engineering teams to provide data-driven solutions.
  • Data Visualization: Communicate findings effectively using dashboards and visual tools.
  • Optimization & Automation: Enhance existing models and automate data workflows for efficiency.
  • Collaboration: Partner with data engineers and business stakeholders to improve data quality and strategy.
  • YOU HAVE

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • 5+ years of experience in data science, machine learning, or a related field.
  • Strong programming skills in Python, R, or SQL.
  • Experience with machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch.
  • Proven ability to build and deploy AI/ML solutions at scale.
  • Strong communication skills and ability to clearly articulate complex technical concepts.
  • Additional Requirements

  • This position requires up to 90% travel throughout the year, both domestically and potentially internationally.
  • Flexibility in schedule and location is essential, as the role may involve frequent visits to Customer sites, conferences, or team collaboration sessions.
  • Must be comfortable working in dynamic environments and adapting quickly to changing business needs and priorities.
  • Additional Information

    We could tell you that we’re building something that truly optimizes the way business intelligence is done. We could also tell you that we’re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine’s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner® Magic Quadrant™ and the 2022 Gartner® Market Guide. All true, but the real reason you will want to come work for Incorta is that you’ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.

    Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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