[Remote] Delivery Leader – AI/ML
Note: The job is a remote job and is open to candidates in USA. Intuitive.ai is an innovation-led engineering company delivering business outcomes for enterprises globally. They are seeking a Delivery Leader – AI/ML with a strong background in life sciences, pharmaceuticals, or healthcare to lead AI/ML projects, ensuring successful delivery and compliance with business and regulatory requirements.
Responsibilities
• Lead end-to-end delivery of AI/ML projects within the medical/pharma domain, ensuring timelines, quality, and compliance
• Define delivery roadmaps, sprint plans, and milestones aligned with business and regulatory requirements
• Oversee cross-functional teams including data engineers, ML scientists, and domain SMEs
• Monitor project performance, proactively manage risks, and ensure adherence to GxP and data governance standards
• Design scalable AI/ML architectures leveraging cloud platforms (AWS, Azure, or GCP)
• Guide the development of machine learning pipelines for clinical data, RWE (Real-World Evidence), drug discovery, or patient analytics
• Evaluate and implement frameworks for NLP, computer vision, or predictive analytics in healthcare
• Ensure data integrity, security, and interoperability with medical data standards (HL7, FHIR, CDISC, OMOP, etc.)
• Act as a bridge between data science, IT, and clinical/business stakeholders
• Translate business needs into technical solutions and ensure clear communication across teams
• Collaborate with medical affairs, R&D, and regulatory teams to align AI solutions with scientific and ethical standards
• Drive adoption of AI/ML best practices, MLOps frameworks, and reusable assets
• Stay abreast of emerging trends in AI for life sciences and proactively recommend improvements
• Ensure compliance with data privacy and ethical AI principles (HIPAA, GDPR, etc.)
Skills
• Education: Bachelor's or master's in computer science, Biomedical Engineering, Data Science, or related field. PhD preferred
• Experience: 10+ years of total experience, with at least 4–5 years in AI/ML delivery leadership
• Proven track record in delivering AI/ML projects in pharma, healthcare, or medical research domains
• Strong understanding of medical data sources (EHR, clinical trials, RWD, genomics, etc.)
• Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (Kubeflow, MLflow, Airflow)
• Expertise in cloud services (AWS SageMaker, Azure ML, GCP Vertex AI)
• Familiarity with compliance standards and clinical data handling
• Excellent communication, stakeholder management, and leadership skills
• Experience with LLMs, GenAI, or multimodal AI in healthcare
• Knowledge of Ontologies, Knowledge Graphs, or semantic modeling in biomedical contexts
• Exposure to regulatory AI applications (e.g., drug safety, pharmacovigilance)
Company Overview
• Intuitive.ai | Engineering Breakthroughs Intuitive.ai is an AI-first innovation and engineering company helping enterprises transform with confidence. It was founded in 2012, and is headquartered in Edison, New Jersey, USA, with a workforce of 501-1000 employees. Its website is https://www.intuitive.ai/.
Apply Now
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Responsibilities
• Lead end-to-end delivery of AI/ML projects within the medical/pharma domain, ensuring timelines, quality, and compliance
• Define delivery roadmaps, sprint plans, and milestones aligned with business and regulatory requirements
• Oversee cross-functional teams including data engineers, ML scientists, and domain SMEs
• Monitor project performance, proactively manage risks, and ensure adherence to GxP and data governance standards
• Design scalable AI/ML architectures leveraging cloud platforms (AWS, Azure, or GCP)
• Guide the development of machine learning pipelines for clinical data, RWE (Real-World Evidence), drug discovery, or patient analytics
• Evaluate and implement frameworks for NLP, computer vision, or predictive analytics in healthcare
• Ensure data integrity, security, and interoperability with medical data standards (HL7, FHIR, CDISC, OMOP, etc.)
• Act as a bridge between data science, IT, and clinical/business stakeholders
• Translate business needs into technical solutions and ensure clear communication across teams
• Collaborate with medical affairs, R&D, and regulatory teams to align AI solutions with scientific and ethical standards
• Drive adoption of AI/ML best practices, MLOps frameworks, and reusable assets
• Stay abreast of emerging trends in AI for life sciences and proactively recommend improvements
• Ensure compliance with data privacy and ethical AI principles (HIPAA, GDPR, etc.)
Skills
• Education: Bachelor's or master's in computer science, Biomedical Engineering, Data Science, or related field. PhD preferred
• Experience: 10+ years of total experience, with at least 4–5 years in AI/ML delivery leadership
• Proven track record in delivering AI/ML projects in pharma, healthcare, or medical research domains
• Strong understanding of medical data sources (EHR, clinical trials, RWD, genomics, etc.)
• Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (Kubeflow, MLflow, Airflow)
• Expertise in cloud services (AWS SageMaker, Azure ML, GCP Vertex AI)
• Familiarity with compliance standards and clinical data handling
• Excellent communication, stakeholder management, and leadership skills
• Experience with LLMs, GenAI, or multimodal AI in healthcare
• Knowledge of Ontologies, Knowledge Graphs, or semantic modeling in biomedical contexts
• Exposure to regulatory AI applications (e.g., drug safety, pharmacovigilance)
Company Overview
• Intuitive.ai | Engineering Breakthroughs Intuitive.ai is an AI-first innovation and engineering company helping enterprises transform with confidence. It was founded in 2012, and is headquartered in Edison, New Jersey, USA, with a workforce of 501-1000 employees. Its website is https://www.intuitive.ai/.
Apply Now
Apply Now