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操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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

Intertwine Associates

リモート勤務

勤務地
Remote (United States)
報酬
USD 130000-175000 per annual
勤務時間
Full Time
掲載日
2026年10月12日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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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必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

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仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

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応募ボタンは外部サイトを開きます。企業または採用サービスの案内に従い、そのサイトで送信を完了してください。ResumizeAIで応募書類を作成しただけでは応募は送信されません。リンク先が企業のトップページの場合は、該当する募集を探してから手続きを進めましょう。

応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。