Machine Learning Engineer

Hi all

Were Hiring: Machine Learning Engineer

Machine Learning Engineer

shaping how AI transforms healthcare and life sciences

Key Responsibilities

• Solve business problems with cutting-edge AI solutions, focusing on

  cost-efficiency and reliability

  .
• Collaborate with Lab leads, product designers, researchers, and architects to scope MVPs and define core capabilities.
  
• Build

  modular, reusable components

  for GenAI solutions and traditional ML pipelines (training, evaluation, deployment).
• Design and develop

  API-based AI tools

  and batch data transformation workflows.
• Implement

  end-to-end solutions

  for batch and real-time algorithms, including monitoring, logging, automated testing, and performance evaluation.
• Develop

  production-grade solutions

  following software engineering best practices.
• Support

  experimentation, A/B testing, and fine-tuning cycles

  .
• Stay updated on the latest

  advancements in Generative AI

  and related technologies.
• Document architectures, processes, and technical decisions.
  

Qualifications

• Bachelors/Master’s

  in Computer Science, Engineering, Data Science, or related field.

• 4.5+ years

  of experience as an AI/ML Engineer.
• Strong knowledge of

  Python, SQL

  , and data processing languages.
• Solid understanding of

  ML concepts

  (GenAI, NLP, LLMs).
• Hands-on experience with

  open-source LLMs

  .
• Proficiency in

  software engineering fundamentals

  (unit testing, modular design, CI/CD).
• Strong experience with

  ML/AI frameworks

  (scikit-learn, PyTorch, TensorFlow, HuggingFace).
• Familiarity with

  cloud platforms (AWS/Azure)

  , containerization (Docker), and version control (Git).
• Exposure to

  ETL tools

  (Spark, Airflow), PySpark, data modeling/warehousing, and CI/CD pipelines is a plus.
• Experience with

  vector embeddings, multimodal data, agentic workflows

  , and

  LLM fine-tuning/RAG pipelines

  .
• Exposure to

  healthcare/life sciences datasets

  (EHR, claims, clinical trials).
• Prior experience in

  startup or R&D environments

  preferred.
• Excellent communication and collaboration skills.
  

Apply Now!

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