
501 - 1000 employees
Founded 2016
đ¤ B2B
đ¤ Artificial Intelligence
đł Fintech
B2B ⢠Artificial Intelligence ⢠Fintech
Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.
đ March 27
đ Massachusetts â Remote
đľ $210k - $245k / year
â° Full Time
đ´ Lead
đ¤ Artificial Intelligence
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501 - 1000 employees
Founded 2016
đ¤ B2B
đ¤ Artificial Intelligence
đł Fintech
B2B ⢠Artificial Intelligence ⢠Fintech
Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.
⢠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.
⢠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)
⢠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
Apply Nowđ March 27
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đşđ¸ United States â Remote
đľ $150k - $250k / year
đ° $47M Series B on 2022-11
â° Full Time
đ´ Lead
đ¤ Artificial Intelligence
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â° Full Time
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â° Full Time
đ Senior
đ´ Lead
đ¤ Artificial Intelligence
đŚ H1B Visa Sponsor
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