Machine Learning Engineer

Job Details

Job Position – Machine Learning Engineer

Company Name – Flint International

1.  Technical Oversight

-Lead the end-to-end AI lifecycle: data collection, preprocessing, model development, deployment, and ongoing performance monitoring.

-Develop and maintain robust, scalable AI architectures and workflows tailored to healthcare and insurance requirements.

-Oversee compliance with regulations and data security protocols, ensuring safe and responsible use of patient and insurance data.

2.  Vendor Management

-Identify, evaluate, and manage relationships with third-party AI solution vendors when applicable.

-Oversee successful integration of vendor solutions into existing systems and workflows.

3.  Cross-Functional Collaboration

-Partner with product managers, clinical specialists, underwriters, and other stakeholders to identify AI-driven improvements in patient care, insurance claims processing, and risk assessment.

-Communicate technical concepts, milestones, and project outcomes to both technical and non-technical audiences.
-Work closely with legal, compliance, and security teams to ensure adherence to healthcare/insurance regulatory standards.
4.  Innovation & Research
-Stay informed on cutting-edge research in AI, especially as it applies to healthcare and insurance (e.g., predictive analytics, fraud detection, patient segmentation).
-Drive innovation by encouraging the team to experiment with new models and methodologies, promoting a forward-thinking approach.
5.  Operational Excellence (MLOps)

-Implement best practices for deploying, monitoring, and maintaining AI
models in production, ensuring high availability and performance.
-Establish CI/CD pipelines, version control, and model governance to maintain quality and traceability.
-Monitor system performance and proactively address bottlenecks, optimizing infrastructure for scalability and cost-effectiveness.

Qualifications

Education & Experience:

-Bachelor’s or master’s degree in computer science, Data Science, AI, or a related field.

-5+ years of hands-on experience in machine learning or data science, with a strong portfolio of successful AI projects.

-2+ years in a leadership or managerial role, leading multi-disciplinary AI
teams.

-Proven track record in the healthcare or insurance sector is highly preferred (e.g., experience with claims processing, patient data, risk modeling).

Technical Skills:

-Expertise in programming languages such as Python, R, or C++.

-Proficiency with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

-Experience with cloud platforms (AWS, Azure) and containerization
(Docker, Kubernetes).

-Familiarity with large-scale data processing tools and databases (SQL, NoSQL, Spark).

Email : Sakeena.bano@flintmail.com with ML Engineer.

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