AI/ML Solutions Architect
4 days ago
Thryve Digital Health LLP is a leading global healthcare partner that delivers innovative solutions, expertise, and flexibility to its healthcare partners. As a US healthcare conglomerate captive, we have direct access to deeper insights that help us accelerate our learning process and stay ahead of the curve.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. Thryve is an equal opportunity employer and places a high value on integrity, diversity, and inclusion in the organization.
About the RoleWe are seeking a talented and passionate AI/ML Engineer to join our AI foundry program to contribute to the development and deployment of ML models for AI use cases across the platform.
The individual will be responsible for building and maintaining robust, scalable, and efficient ML models using Python and other supporting technologies including Cloud Run, SQL, GCP, and Vertex AI.
Job Responsibilities- Design, develop, and deploy machine learning models using predictive analytics, in Python, Tensorflow, Pytorch etc.
- Collaborate with cross-functional teams (e.g., product, engineering, data science) to define and refine business requirements and translate them into technical specifications.
- Conduct thorough data analysis, feature engineering, and model selection to ensure optimal model performance.
- Develop and maintain robust and scalable machine learning pipelines.
- Implement and optimize machine learning algorithms for real-time and batch processing.
- Mentor junior team members and contribute to the development of best practices for AI/ML development.
- Contribute to the creation of technical documentation and presentations.
- 6+ years of experience in application development with strong experience in Python development with NumPy, Pandas, Sci-kit learn packages.
- Strong understanding of and experience working with, machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
- Proficiency in Python and experience with popular machine learning libraries like TensorFlow, PyTorch, Scikit-learn, etc.
- Experience with any public cloud platforms.
- Familiarity with Cloud Run, SQL, and other GCP or equivalent cloud services.
An estimated salary of ₹13,00,000 per annum, making it an attractive career option for ambitious professionals.
Work from home with flexible hours, allowing you to achieve a better work-life balance.
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