Director, AI & ML

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🕒 vor 2 Monaten

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $210.000 - $245.000 / Jahr

⏰ Vollzeit

🔴 Experte

🤖 Künstliche Intelligenz

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Newfire Global Partners

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2016

🤝 B2B

🤖 Künstliche Intelligenz

💳 Fintech

B2B • Artificial Intelligence • Fintech

Newfire Global Partners ist ein amerikanisches IT-Dienstleistungs- und Beratungsunternehmen (gegründet 2016 in Boston), das Talentverstärkung, Softwareentwicklung, Datenanalyse und KI/ML-Beratung für Unternehmens- und Investorenkunden anbietet. Das Unternehmen bietet multidisziplinäre Engineering-, Produkt- und Marketingteams, technische Due Diligence für VC/PE, Optimierung von Datenplattformen und ein internes ML-Tool (Novel Heat) zur Verbesserung der Codequalität und der Scrum-Geschwindigkeit. Newfire ist in Amerika, Europa und APAC tätig mit einem 24x5 "Follow-the-Sun"-Liefermodell und konzentriert sich auf Sektoren wie digitale Gesundheitsversorgung, Fintech, Cybersecurity und Bildungstechnologie.

Beschreibung

• Define and execute a multi-year AI roadmap aligned to product evolution and regulatory constraints (CMS, Medicaid, HIPAA, NCQA). • Architect scalable ML and generative AI systems embedded in software products. • Evaluate and select appropriate model strategies (predictive models, RAG pipelines, fine-tuned LLMs, reasoning models, agentic workflows). • Recruit and develop a small (4 to start), experienced team of ML engineers and applied AI specialists. • Establish experimentation standards, prompt engineering practices, evaluation benchmarks, and model lifecycle processes. • Create a culture of pragmatic, production-focused AI engineering. • Deliver end-to-end ML/AI solutions, including: risk prediction models, intelligent document summarization, RAG-based or knowledge-graph-based systems, fine-tuned LLM applications, agentic automation workflows. • Ensure solutions are measurable, reliable, and embedded into production workflows. • Establish robust MLOps pipelines (training, validation, deployment, monitoring). • Implement model observability, drift detection, and performance monitoring. • Partner with Security and Compliance to define responsible AI standards (fairness, bias evaluation, explainability, audit trails). • Design PHI-safe AI environments and secure data pipelines. • Partner with Product and Clinical leaders to identify high-value AI use cases. • Translate complex AI concepts into executive-ready business cases. • Guide organizational AI literacy and responsible adoption.

🎯 Anforderungen

• BS in Computer Science, Data Analytics, ML/AI, or related field • Minimum 10+ years in ML/AI engineering or applied data science • Minimum 4+ years leading teams or building AI functions in a Senior Manager or Director role • Proven track record delivering production ML, generative AI, and/or agentic systems at scale. • Demonstrated experience with relevant frameworks and patterns, e.g., • Model evaluation and benchmarking • LLM fine-tuning (e.g., LoRA, instruction tuning) • RAG and/or KG architectures • Agentic systems & workflows • HuggingFace ecosystem • PyTorch / TensorFlow • MLOps (CI/CD for ML, monitoring, versioning) • Experience deploying and running ML/AL in cloud-native environments (AWS preferred) • Demonstrated experience applying governance and guardrails to AI and agentic systems • Strong understanding of regulated data environments (healthcare preferred)

🏖️ Vorteile

• Remote-first environment with company provided computer • Thirteen paid holidays per year (average) • Medical, dental and vision coverage with multiple levels of coverage • HSA, FSA and Dependent Care accounts • Short-term and Long-term disability • Life and accidental death insurance • Discounted voluntary benefits, such as additional life insurance • Employee Assistance Program • Paid Parental Leave • Flexible vacation time • 401(k) with employer matching and immediate vesting