Artificial Intelligence and Machine Learning Lead Developer

15 hours ago


Chennai, Tamil Nadu, India Thryve Digital Health LLP Full time

Thryve Digital Health LLP is an emerging global healthcare partner that delivers strategic innovation, expertise, and flexibility to its healthcare partners. As a leading 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 deliver next-generation solutions that enable our healthcare partners to provide positive experiences to their consumers. Our global collaborative of healthcare, operations, and IT experts creates innovative and sustainable processes for our clients, which keeps the ever-evolving consumers engaged and assists them in managing the future of their healthcare better.

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 This Role

We are seeking a talented and passionate AI/ML Engineer to join the 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.

The ideal candidate will have 6+ years of experience in application development with strong experience in Python development with NumPy, Pandas, Sci-kit learn packages. A strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, is essential. Proficiency in Python and experience with popular machine learning libraries like TensorFlow, PyTorch, Scikit-learn, etc., is also required.

In this role, you will design, develop, and deploy machine learning models using predictive analytics, collaborate with cross-functional teams to define and refine business requirements, conduct thorough data analysis, feature engineering, and model selection, and implement and optimize machine learning algorithms for real-time and batch processing.

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.

The estimated salary for this role is $120,000 - $180,000 per year, depending on location and experience.



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