Ensora Health aims to eliminate administrative complexity in mental and behavioral health care by providing AI-enabled solutions that create harmony between therapists, their clients, and the healthcare community.
Requirements
- Education: Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field (Ph.D. preferred).
- Experience: 8+ years in ML engineering or data science, with at least 3 years in an architectural or leadership role.
- ML/DL Expertise: Deep knowledge of ML algorithms, deep learning frameworks (PyTorch, TensorFlow), and model optimization techniques.
- LLM & Agentic Systems: Experience designing architectures for LLM-based applications and AI agents.
- Data & Infrastructure: Strong understanding of distributed systems, big data platforms (Spark, Hadoop), and cloud services (AWS, Azure, GCP).
- Database Skills: Proficiency in SQL and PostgreSQL, plus familiarity with vector databases (Pinecone, Weaviate).
- MLOps & CI/CD: Expertise in model lifecycle management, Kubernetes, and GitOps practices.
Responsibilities
- Architectural Leadership: Define and enforce ML architecture standards, frameworks, and design patterns for enterprise-scale AI solutions.
- Strategic Roadmapping: Develop long-term AI/ML strategy aligned with business objectives and emerging technologies.
- Platform Design: Oversee the development of ML platforms, pipelines, and infrastructure for model training, deployment, and monitoring.
- Governance & Compliance: Establish guidelines for data privacy, security, and regulatory compliance (HIPAA, GDPR) in healthcare AI systems.
- Multi-Use Case Guidance: Provide technical leadership across diverse AI initiatives, including LLM-powered workflows, predictive analytics, and multimodal applications.
- Performance & Scalability: Ensure robust architecture for handling large datasets, distributed training, and real-time inference.
- Mentorship & Enablement: Coach senior engineers and data scientists, fostering a culture of best practices and continuous learning.
Other
- Education: Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field (Ph.D. preferred).
- Leadership: Proven ability to influence technical direction and mentor cross-functional teams.
- Equal Opportunity: Ensora Health is an equal opportunity employer, championing non-discriminatory practices throughout the employee and customer lifecycle.
- Diversity, Equity, Inclusion, and Belonging: Promoting a diverse and inclusive team by encouraging applications from individuals who may not meet all requirements.
- Confidentiality: All your information will be kept confidential according to EEO guidelines.
