WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!
Machine Learning Engineering Lead (LLM)
What experience should you have:
- 5+ years of professional experience in a data science, machine learning, and/or data engineering role.
- Demonstrated understanding of statistical, mathematical, machine learning and deep learning concepts.
- Experience designing, developing and validating Large Language Models (LLMs) Solutions preferably using Python and tools like LangChain and vector databases.
- Experience leveraging cloud computing environments (GCP preferred) and complex data flows in the context of data science or analytics projects, particularly those involving large datasets.
- Experience leveraging data science collaboration and MLOps and Observability tools like Databricks, ML Flow, Weights and Biases, DVC, and/or equivalent with a preference for any experience with LLM experimentation, governance, serving, monitoring, etc…
- Experience with LLM experimentation, governance, serving, and monitoring is preferred.
What you’ll be doing in this role:
- Partner with clients to prioritize business and information needs, articulate value proposition, and co-create requirements that will guide the design of AI solutions.
- Consume the latest in applied research relating to the deployment and use of LLM-based solutions. Translate these findings into opportunities to build demos, enhance solutions, and create client-facing thought leadership.
- Guide projects through appropriate data selection, governance, and risk management practices to ensure the alignment of AI-based models with desired outcomes.
- Establish the tooling and processes to support ongoing monitoring of LLM-based solutions in production.
- Actively contribute to the development and improvement of LLMops practices within the organization.
- Develop reports and presentations to communicate findings and recommendations of LLM solutions.
- Clearly communicate complex machine learning concepts and results through multiple mediums to non-technical stakeholders.
What you'll need to accomplish in your first year:
- Continue to grow knowledge of data science tools, platforms, and processes, with an emphasis on the latest in language and multi-modal modeling techniques and tools.
- Contribute to Further’s internal innovation through rapid prototyping and building demos that highlight the power of LLM-based solutions.
- Build relationships with key stakeholders, decision makers, and influencers - cultivating these relationships along the way.
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!