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Senior AI / Data Engineer: Data Platforms, Machine Learning & Applied AI

Intertwine Associates

Trabajo remoto

Ubicación
Remote (United States)
Retribución
USD 130000-175000 per annual
Jornada
Full Time
Publicado
12 oct 2026

Confirma que la oferta sigue abierta y revisa sus condiciones en el sitio web de la empresa antes de solicitar el puesto.

Descripción del puesto

La interfaz está en español. Los títulos y las descripciones de las empresas se mantienen en el idioma original de publicación, que puede ser inglés.

Explore what happens when ideas Intertwine At Intertwine Associates, we live by a simple promise: We show up ready to work. We partner with organizations across government, management, strategy, and technology to deliver operational efficiency and measurable impact. Our focus is on practical solutions, tailored frameworks, and innovation that drives meaningful results. Join a team where expertise meets execution, and where your work truly matters. Read more here: Key Role: Work in a dynamic, fast-paced environment as a Senior AI / Data Engineer supporting federal agencies and other clients. Lead the design and delivery of the data platforms, machine learning systems, and AI applications that turn client data into decisions, and set the engineering standards other engineers follow. Strong client or customer engagement is required in this role. You will work directly with client program leadership, architects, data scientists, and governance teams, advise on technical direction, and represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment at every touchpoint. This is a remote position with occasional travel. Assignments are matched to client needs and to each candidate's expertise and eligibility. Key Responsibilities: Architect and lead the delivery of enterprise data platforms and pipelines on Azure (Data Lake Storage, Azure SQL, Data Factory, Microsoft Fabric / Foundry) or equivalent cloud services. Set standards for ETL design, schema enforcement, data validation, quality checks, and lineage, and review other engineers' work against them. Design, build, and deploy machine learning and AI solutions, including applications built on large language models such as retrieval-augmented generation, document understanding, and agentic workflows, with evaluation and guardrails. Build secure API endpoints and microservices that make data and models available to analytics and ML platforms. Establish MLOps practices: experiment tracking, model registries, CI/CD, containers, monitoring, and cost and performance tuning. Apply data and AI governance for compliance, reproducibility, auditability, and responsible AI, including federal frameworks such as the NIST AI Risk Management Framework. Translate mission and business needs into technical roadmaps, estimates, and briefings for client leadership. Mentor engineers and data scientists and lead technical work across multidisciplinary teams. Basic Qualifications: 7+ years of experience building data pipelines, machine learning systems, or AI applications in production, including 2+ years leading technical work. Expert Python (including Pandas and NumPy) and advanced SQL, with experience integrating relational and unstructured sources. Deep hands-on experience with Azure data services, or equivalent depth in AWS or Google Cloud. Production experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. Experience with data validation, schema enforcement, quality assurance, and governance in regulated environments. Experience designing APIs and microservices for analytics and ML platforms. Excellent written and verbal communication, including briefing senior, non-technical audiences. U.S. citizenship or lawful permanent residency may be required per contract. Ability to obtain a federal government Public Trust or security clearance where the assignment requires one. Additional Qualifications: Bachelor's or advanced degree in Computer Science, Data Science, Statistics, Engineering, or a related field, or equivalent professional experience. Experience building applications on large language models: retrieval-augmented generation, embeddings and vector databases, evaluation, and guardrails. Microsoft certifications such as Azure Data Engineer, Azure AI Engineer, Fabric Data Engineer, or Azure Solutions Architect, or equivalent AWS or Google Cloud certifications. Experience with Databricks, Snowflake, Microsoft Fabric, or similar modern data platforms at enterprise scale. Familiarity with FedRAMP, FISMA, and federal data security requirements. Experience supporting a federal agency, or health, scientific, or research data. An active federal Public Trust or security clearance. Intertwine Associates LLC – Equal Employment Opportunity Statement Intertwine Associates LLC is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workplace where all individuals are treated with respect and dignity. Employment decisions at Intertwine Associates LLC are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, marital status, veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local laws. We comply with all applicable laws governing nondiscrimination in employment and strive to ensure that our workplace reflects the values of fairness, equity, and opportunity. All qualified applicants will receive consideration for employment without regard to any protected status. We also prohibit retaliation against individuals who report discrimination, participate in investigations, or otherwise exercise their rights under equal employment laws. Intertwine Associates LLC is proud to support the mission of our clients, including U.S. Federal Government agencies, by providing exceptional technical talent and services. As such, certain roles may require U.S. citizenship or specific security clearances in accordance with federal contract requirements. Compensation, Bonuses, and Other Incentives: Intertwine Associates LLC offers a competitive compensation package. The anticipated base salary range for this position is $130,000-$175,000 per year. This range is a good-faith estimate at the time of posting and reflects the base salary the company reasonably expects to offer for this role. Actual base salary will be determined based on lawful, job-related factors, including education, experience, specialized expertise, credentials, geographic location, scope of responsibilities, internal equity, client and contract requirements, and funding availability. This position may be eligible for discretionary bonuses, signing or retention incentives, or other variable compensation, as stated in the applicable written offer or plan documents. Any bonus or incentive is not guaranteed and is subject to applicable plan terms, individual and company performance, client or contract requirements, funding availability, and applicable law. Bonuses and other incentives are separate from base salary and may be modified or discontinued. The salary range does not include potential bonuses, other incentive compensation, or benefits. Nothing in this posting creates an employment contract or guarantees any specific salary, bonus, incentive, benefit, or term of employment. Benefits: Intertwine Associates LLC offers eligible full-time employees medical, dental, and vision insurance; a 401(k) retirement savings plan with company matching; flexible paid time off, plus paid sick leave and other paid leave as required by applicable law; and professional development and continuing education opportunities. Application Deadline: There is no application deadline for this position. Applications are accepted on an ongoing basis and are reviewed on a rolling basis as they are received. Consideration for Other Positions: Applicants for this position may also be considered for other open positions at Intertwine Associates LLC with similar requirements. If we consider you for another position, we will let you know and share that position's compensation range and benefits. Originally posted on Himalayas

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Elige ejemplos reales de tu experiencia que respondan a los requisitos del puesto. Explica tu aportación y utiliza cifras solo cuando puedas justificarlas. Sigue las instrucciones de la empresa y revisa los datos de contacto, el contenido y el PDF antes de enviar la candidatura.

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Preguntas sobre la búsqueda de empleo

¿Por qué algunas ofertas están en inglés?

Las empresas publican sus propios títulos y descripciones. Conservamos ese texto para no alterar requisitos o condiciones. La navegación y esta guía están en español. Si una búsqueda en español no encuentra ofertas, prueba también el título o la competencia en el idioma del anuncio, por ejemplo «software engineer».

¿Un puesto remoto permite trabajar desde cualquier país?

No necesariamente. La empresa puede limitar los países de residencia, exigir autorización para trabajar o fijar un horario. Comprueba estos puntos en la oferta original. Si no aparecen, consúltalos con la empresa antes de asumir que puedes trabajar desde tu ubicación.

¿Qué hago si no aparecen resultados?

Prueba un título más general o una sola competencia y elimina los filtros de uno en uno. Los nombres de los puestos varían entre empresas. Si una oferta concreta ha desaparecido, busca su referencia en la página de empleo de la empresa; ampliar los filtros no recupera una vacante cerrada.

¿La candidatura se envía desde ResumizeAI?

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¿Cómo adapto el currículum y la carta de presentación?

Relaciona los requisitos con proyectos, tareas y resultados que puedas explicar. Destaca lo relevante sin inventar experiencia ni copiar competencias que no tienes. En la carta, explica tu interés y aporta un ejemplo concreto. Respeta el idioma y el formato pedidos y revisa ambos documentos antes de enviarlos.