Intuitive.ai · 5 days ago
Practice Lead – AI/ML
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years expIntuitive.ai is an innovation-led engineering company delivering business outcomes for enterprises globally. They are seeking an experienced Practice Lead – AI/ML with a strong background in life sciences, pharmaceuticals, or healthcare to lead AI/ML projects and ensure successful delivery of AI-driven solutions that enhance research, clinical, and commercial outcomes.
Information Technology & Services
Hiring Manager
Mitesh Kumar
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.)
Qualification
Required
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
Preferred
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
Intuitive.ai
Intuitive.ai | Engineering Breakthroughs Intuitive.ai is an AI-first innovation and engineering company helping enterprises transform with confidence.
501-1000 employees
H1B Sponsorship
Intuitive.ai has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (5)
2023 (4)
2022 (2)
2021 (2)
2020 (4)
Funding
Current Stage
Late StageLeadership Team
Jay Modh
Founder & CEO
Recent News
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