Forward Deployed Engineer

Get AI-powered advice on this job and more exclusive features. Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers. At Andela, we’re deeply passionate about creating long‑lasting and transformative growth opportunities for all— and doing it in an E.P.I.C. way We’re excited to continue building our remote‑first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to many exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly -- 100% Remote -- Full‑time -- Long‑term -- Payment in USD About We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. 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. This includes developing and deploying ML‑based workflows, and building the technical foundations that make our human‑in‑the‑loop (HITL) data generation and review faster and more effective. You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross‑functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML‑assisted applications which improve our data pipelines and unblock projects through technical innovation. This role is ideal for someone who is comfortable working throughout the entire presales to delivery lifecycle, rolling up their sleeves to solve complex multi‑faceted problems, thrives as a technical communicator and works well as a key member of a team. 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 Project Execution & Delivery 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 Production & Technical Partnership 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 Technical Leadership & Innovation 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 At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. 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 Referrals increase your chances of interviewing at Andela by 2x #J-18808-Ljbffr