Forward Deployed Software Engineer

JAVA Backend

• 5+ years of experience in healthcare AI, with a strong understanding of workflows, medical terminologies, and healthcare interoperability standards

• Proven ability to design AI systems that support decision-making, predictive analytics, health management, etc

• Technical Proficiency:

• 13+ years in software engineering, data science, or AI, with 5+ years in AI/ML architecture roles.

• Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision applied to healthcare.

• Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Experience with cloud platforms (AWS, Azure) and MLOps tools (MLflow, SageMaker).

• Strong understanding of data engineering pipelines, ETL processes, and real-time data streaming

• Architectural & Strategic Experience:

• Demonstrated success in designing scalable, secure, and high-availability AI architectures in healthcare settings.

• Experience with model lifecycle management, including monitoring, retraining, and drift detection in clinical environments.

• Ability to assess and mitigate bias, fairness, and explainability issues in AI models.

• Familiarity with enterprise architecture frameworks and AI governance models.

• Preferred Behavioral Skills

• Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed

• Strong teamwork, problem-solving, and analytical skills

• Strong understanding of Pharma Quality Standards and Practices

• Proven leadership in cross-functional teams, including business teams, data scientists, and IT professionals.

• Strong communication skills to convey complex AI concepts to non-technical stakeholders, including healthcare executives and regulatory bodies.

• Experience in strategic planning, vendor evaluation, and AI capability building within healthcare organizations