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Sr. Machine Learning Engineer

2 months ago

Chennai, India Acentra Health Full time

Job Title: Sr. Machine Learning Engineer

Location: Chennai or willing to travel and work from Chennai office for 10 working days in a month.

About Acentra:

Acentra delivers a broad range of health information technology enterprise solutions and customizable products to a diverse base of state and federal agencies. We align, build, and manage innovative, high-quality, cost-effective solutions that help customers achieve their mission, enhance business performance, reduce costs, and improve the health of over 50 million Americans. With locations throughout the U.S. and in India, Acentra employs a world-class team of technologists, healthcare subject-matter experts, and program managers, all of whom have experience with large-scale mission-critical information technology implementations.

Innovation and commitment to our mission are core to our DNA. And through our shared values, we foster an environment of inclusion, empowerment, accountability, and fun

About the Job

This position is for a Machine Learning expert who is responsible for successful delivery of Acentra Health's technology initiatives. Candidates for this role will be working at the intersection of data science and software engineering, building, deploying, and optimizing machine learning (ML) models and pipelines, with a strong emphasis on large language models (LLMs), generative AI (GenAI), and natural language processing (NLP). Will help improve patient outcomes and drive innovation and efficiency in healthcare. The ideal candidate will have a proven record of successfully deploying machine learning models, LLM based solutions, understanding of the software development lifecycle (SDLC), proficiency in continuous integration and continuous development (CICD) pipelines, experience with MLOps, and proven experience mentoring junior level engineers.

What you will do

Design, develop, and implement ML models and algorithms to solve healthcare-related problems, such as disease prediction, patient risk stratification, clinical decision support, and personalized medicine

Explore and implement state-of-the-art ML techniques, including supervised and unsupervised learning, deep learning, and NLP

Develop and implement data cleaning, feature engineering, and data augmentation techniques to improve model performance and generalizability

Evaluate and validate ML models using appropriate metrics and methodologies, ensuring robustness, accuracy, and reliability

Interpret and communicate model results to domain experts and stakeholders, providing actionable insights and recommendations

Optimize models for performance, scalability, and real-time predictions, considering computational constraints and regulatory requirements

Design and develop innovative solutions using LLMs and foundation models to solve business problems and create operational efficiencies

Lead the AI and ML development process and oversee CICD pipelines

Document code, methodologies, and experimental results to ensure reproducibility and knowledge sharing

Train junior level engineers and serve as a mentor for learning new technologies, best practices, and company culture

Collaborate with cross-functional teams, including data scientists, clinicians, researchers, and product managers, to translate business requirements into technical solutions

Stay abreast of the latest advancements in ML, AI, LLMs, healthcare informatics, and regulatory landscape to inform decision-making and drive innovation

Who you are:

Education and Experience:

Bachelor’s degree in computer science, data science, or a related field.

5+ years of proven experience and success as an ML Engineer with a focus on healthcare projects.

Technical skills

  • 5+ years of experience as a ML Engineer
  • 5+ years of experience with object-oriented scripting languages, such as Python or R
  • 5+ years of experience with developing ML models and NLP techniques
  • 5+ years of experience with data preprocessing and feature engineering
  • 3+ years of experience with LLMs and GenAI
  • 2+ years of cloud computing experience using Azure and/or Amazon Web Services (AWS) for testing, deploying, and managing ML and AI systems
  • Proven experience with successfully deploying solutions using LLMs and foundation models
  • Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models

Proven experience successfully developing and deploying ML algorithms, statistical analysis, and data mining techniques

Proven experience mentoring ML Engineers and colleagues

Demonstrable experience developing innovative ideas and solutions

Familiarity with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR), medical imaging formats (DICOM), and relevant healthcare regulations (e.g., HIPAA) is highly desirable

Proficiency in using data manipulation and analysis tools, such as SQL, Pandas, and NumPy

The ideal candidate will possess strong skills in UI/UX design and API development, enabling them to contribute across the full stack of our technology solutions.

Excellent communication and collaboration skills, with the ability to work effectively in multidisciplinary teams

Soft Skills:

Attention to detail.

Good communication.

Dedicated self-starter with excellent people skills.

Quick learner and a go-getter.

Effective time and project management.

Analytical thinker and a great team player.

Strong leadership, interpersonal & problem-solving skills