Overview
Job Title: Machine Learning - AI Engineer
Location: Bangalore (WFO Mandatory)
Company: Vidal Health TPA
About Us:
At Vidal Health TPA, we are at the forefront of transforming healthcare through technology. As a leading Third-Party Administrator (TPA), we provide comprehensive health services that streamline healthcare administration, focusing on delivering a seamless experience to our clients. Our commitment to innovation, efficiency, and a customer-first approach has helped us become a trusted partner for health insurers and policyholders.
We are currently looking for a talented Machine Learning - AI Engineer with 1+ years of hands-on experience in machine learning, artificial intelligence, and data science, who is excited to work in a fast-paced, dynamic environment. This is an excellent opportunity to work with cutting-edge technology and play a key role in shaping the future of healthcare technology.
Key Responsibilities:
- Design, implement, and optimize machine learning and AI models to support business goals.
- Work with large datasets to extract, clean, and analyze data using machine learning algorithms and advanced statistical methods.
- Develop and deploy predictive models to improve decision-making processes in healthcare administration.
- Collaborate with cross-functional teams (product managers, data scientists, engineers) to understand business requirements and deliver scalable AI solutions.
- Optimize and fine-tune existing AI/ML models to enhance performance, reliability, and scalability.
- Take ownership of end-to-end solutions, from data processing and model development to deployment and maintenance.
- Stay up to date with the latest trends and developments in machine learning, AI, and healthcare technology.
- Troubleshoot and debug AI/ML-related issues, ensuring high-quality, robust solutions.
Requirements:
- 1+ years of hands-on experience in machine learning, AI, and data science.
- Strong knowledge of machine learning frameworks (TensorFlow, Keras, PyTorch, etc.) and libraries (Scikit-learn, Pandas, NumPy).
- Experience in programming languages such as Python, R, or similar.
- Proficiency in handling large datasets, data wrangling, and feature engineering.
- Knowledge of data modeling, model evaluation, and optimization techniques.
- Understanding of AI and machine learning in real-world applications (preferably in the healthcare or insurance domain).
- Strong analytical, problem-solving, and critical-thinking skills.
- Ability to thrive in a fast-paced environment and take ownership of projects from start to finish.
- Excellent communication skills and the ability to work effectively in a collaborative, cross-functional team.
Preferred Qualifications:
- Experience in deploying machine learning models into production environments.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker.
- Knowledge of deep learning techniques and frameworks.
- Familiarity with healthcare data standards and protocols (HL7, FHIR) is a plus.
What We Offer:
- A dynamic and challenging work environment where innovation is encouraged.
- Opportunities to grow and learn new skills in a rapidly evolving industry.
- Competitive salary and benefits package.
- A collaborative team that values creativity, diversity, and ownership.
- The chance to make a direct impact on the future of healthcare technology.
If you're passionate about AI/ML and ready to take ownership of impactful projects, we would love to hear from you! Join us at Vidal Health TPA and help shape the future of healthcare with your expertise.
Job Types: Full-time, Permanent
Pay: ₹400,000.00 - ₹700,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Schedule:
- Day shift
Supplemental Pay:
- Performance bonus
Ability to commute/relocate:
- Whitefield, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- Can come for Face-to-Face Interview?
Education:
- Bachelor's (Required)
Experience:
- Machine Learning - AI Engineer : 1 year (Required)
Location:
- Whitefield, Bengaluru, Karnataka (Required)
Work Location: In person
Application Deadline: 16/07/2025
Expected Start Date: 03/07/2025