Machine Learning Engineer

3 days ago

Bengaluru, India Welldoc Software Full time

We are seeking a skilled and experienced Machine Learning Engineer to join our team.The ideal candidate will have a strong background in Python and PyTorch, along with 4-8 years of experience deploying ML/AI models to production. This role requires excellent analytics skills and a good working knowledge of Databricks. You will work closely with data scientists, clinicians, software engineers, and product teams to design, build, and optimize scalable machine learning solutions.

Role & responsibilities

  • Develop, train, and optimize machine learning models using PyTorch and other ML frameworks.
  • Deploy and maintain ML models in production environments, ensuring scalability, performance, and reliability.
  • Utilize Databricks for data processing, model training, model deployment, and pipeline optimization.
  • Deploy Retrieval-Augmented Generation (RAG) pipelines to production for improved AI-driven applications.
  • Collaborate with data engineers to design and implement ETL workflows and data pipelines.
  • Perform rigorous testing, validation, and monitoring of deployed models.
  • Optimize model inference for low latency and high throughput applications.
  • Work with stakeholders to translate business problems into ML solutions.
  • Stay up to date with the latest advancements in machine learning, deep learning, and AI deployment strategies.

Preferred candidate profile

  • Proficiency in Python and ML frameworks such as PyTorch.
  • 4-8 years of experience deploying machine learning models to production.
  • Knowledge of MLflow for experiment tracking and model management.
  • Strong experience with Databricks for ML development and deployment.
  • Hands-on experience with MLOps, CI/CD pipelines, and cloud-based deployment (AWS, Azure, or GCP).
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • Experience working with large-scale datasets and distributed computing frameworks.
  • Experience with deploying Retrieval-Augmented Generation (RAG) pipelines to production.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills and ability to work in a collaborative team environment.

Preferred Qualifications

  • Experience deploying models in the healthcare domain.
  • Experience with feature engineering, data preprocessing, and model explainability.
  • Knowledge of containerization (Docker, Kubernetes) and workflow orchestration tools
  • Familiarity with LLMs, NLP, or reinforcement learning is a plus.

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