Senior - ML Engineer
HCA Healthcare India24 days ago
India (city not specified)Senior
Responsibilities
- Design and develop NLP and machine learning applications on Google Cloud, including solutions using Vertex AI and Document AI.
- Apply text representation, feature engineering, statistical, and classification techniques to transform natural language data into actionable features and insights.
- Select datasets, algorithms, frameworks, and tools; train, evaluate, monitor, and improve machine learning models.
- Integrate structured and unstructured data through APIs and optimize data pipelines for scalability, efficiency, and consistent data flow.
- Develop, test, deploy, and maintain machine learning or application solutions using C#, SQL, Python, cloud platforms, machine learning frameworks, and APIs.
- Partner with cross-functional stakeholders to gather requirements, define business questions, evaluate solution options, and present results.
- Evaluate proof-of-concept solutions for cost effectiveness, scalability, long-term functionality, and organizational alignment.
- Document methodologies, processes, model findings, and technical solutions.
- Facilitate workshops and training sessions on machine learning concepts and practical applications.
- Provide technical guidance, coaching, mentoring, and knowledge sharing to junior team members.
Requirements
- Bachelor's degree in computer science is required; a master's degree is preferred.
- 5-8 years of experience as a Data Engineer, NLP/Machine Learning Engineer, or similar, including experience developing and integrating machine learning models and pre-trained APIs in cloud platforms.
- Strong experience with Python and SQL, plus working proficiency with C#, Google Cloud Platform technologies such as Vertex AI and BigQuery, and GitHub.
- Deep understanding of text representation techniques, statistics, and classification algorithms.
- Experience with machine learning frameworks, APIs, structured and unstructured data integration, and data pipeline optimization.
- Experience designing, developing, testing, deploying, and maintaining machine learning or application solutions through the full lifecycle.
- Ability to collaborate with business and technical stakeholders and translate requirements into technical solutions.
- Strong communication, collaboration, analytical, problem-solving, decision-making, and customer-focus skills.
- Preferred qualifications include healthcare information technology experience, Azure DevOps experience, application development experience, and experience with Document AI and NLP-focused cloud services.
Tech Stack
Categories
About HCA Healthcare India
HCA Healthcare India is the technology and analytics arm of HCA Healthcare, Inc., the U.S.-based hospital operator headquartered in Nashville. Teams in India build cloud data platforms, pipelines, and software that support clinical, operational, and revenue workflows across HCA’s hospitals and clinics, and provide DevOps, BI, and testing services. HCA Healthcare was founded in 1968 and runs a broad network of hospitals and outpatient facilities in the United States.