Forward Deployed Engineer

We are hiring data scientists and engineers who will partner with leading labs and enterprises to design, develop, and deliver high-quality AI / ML data products for their most critical AI initiatives. This is a high‑impact, customer‑facing role focused on end‑to‑end ownership of the AI data pipeline lifecycle. Responsibilities Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data‑as‑a‑Service opportunities. Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client‑specific demonstrations to illustrate feasibility and value. Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity. Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics. Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations. Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data. Package and deliver production‑grade datasets with standardized formatting, comprehensive documentation, and quality assurance. Configure and build custom applications and off‑platform solutions for non‑standard or specialized client requirements. Define production specifications and workflows, securing technical alignment with client teams to enable seamless go‑live transitions. Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals. Maintain specification consistency and alignment across customer and internal teams throughout the engagement lifecycle. Identify and document workflow best practices and automation opportunities, collaborating with DaaS Engineering to continuously improve delivery capabilities. Maintain solution leaderboards and execute custom model benchmarking on existing datasets to demonstrate technical capabilities. Drive continuous improvement of technical assets, evaluation frameworks, and delivery processes to enhance speed, quality, and scalability. Support account growth by identifying upsell and cross‑sell opportunities based on technical interactions with client engineering and research teams. Qualifications 2+ years of experience in data science and engineering roles. Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash). Familiarity with LLM‑based workflows and applying ML techniques in production contexts. Experience leveraging Backend APIs and interpreting associated technical documentation. Experience developing technical specifications and designing evaluation workflows. Ability to thrive as a technical communicator and work well as a key member of a team. Strong problem‑solving mindset, comfortable working on projects that impact real production systems. Preferred Qualifications Experience working throughout the entire presales to delivery lifecycle. Experience identifying upsell and cross‑sell opportunities based on technical interactions. Experience configuring and building custom applications for non‑standard or specialized client requirements. Previous experience in a high‑impact, customer‑facing role partnering with leading labs and enterprises. Ability to provide ongoing technical support to Delivery Managers, resolving technical blockers and supporting customer rebuttals. Working Hours: 9 AM – 5 PM, 5‑hour overlap with UTC‑8. Contract details: Long‑Term Renewable Contract position with Andela. Equal Employment Opportunity Statement Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV / AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and / or discrimination, as stated above. Andela is home for all. Come as you are. #J-18808-Ljbffr