Machine Learning Engineer
- Ebix
- 5 to 9 Yrs
- 2 months ago
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Job Description
- Job Description: We are seeking a highly skilled Machine Learning Engineer with 5+ years of experience to work on cutting-edge projects in healthcare. As a member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models that address real-world challenges in healthcare, such as predictive analytics, clinical decision support, medical image analysis, and patient outcome optimization. Key Responsibilities: Design and develop machine learning algorithms and models tailored for healthcare applications. Work closely with data scientists, healthcare professionals, and product teams to understand business requirements and translate them into technical solutions. Implement and optimize models for scalability, performance, and deployment in real-world healthcare environments. Develop and maintain machine learning pipelines for processing large datasets, including clinical data, medical images, and patient records. Work with healthcare data platforms and ensure compliance with regulatory standards (e.g., HIPAA). Conduct rigorous testing, validation, and optimization of models to ensure accuracy and reliability in healthcare settings. Collaborate with stakeholders to identify opportunities for ML integration in product development. Stay up-to-date with the latest research in machine learning, AI, and healthcare innovations. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 5+ years of experience in machine learning engineering, with a proven track record of delivering production-quality models and systems. Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and others. Strong proficiency in Python, and experience with data manipulation libraries (Pandas, NumPy, etc.). Experience with data processing, feature engineering, and working with structured/unstructured healthcare datasets (clinical data, medical images, EHR, etc.). Familiarity with cloud services such as AWS, GCP, or Azure for model deployment and data storage. Knowledge of healthcare regulations and standards, such as HIPAA, and experience working in regulated environments is a plus. Strong problem-solving, analytical, and debugging skills. Excellent communication skills to collaborate with cross-functional teams and present technical findings. Preferred Qualifications: Experience with deep learning models for medical image analysis (e.g., CNNs for radiology imaging). Familiarity with natural language processing (NLP) for working with unstructured medical text data (e.g., electronic health records). Familiarity with ML deployment frameworks like TensorFlow Serving, MLflow, or Kubernetes. Previous experience in the healthcare industry is a plus. Job Types: Full-time, Permanent Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Work Location: In person,
Employement Category:
Employement Type: Full timeIndustry: Medical / HealthcareRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning EngineerContact Details:
Company: Programming.comLocation(s): Maharashtra,
Keyskills: Machine Learning Healthcare Predictive Analytics Clinical Decision Support Python NumPy AWS GCP Azure Data Processing Cloud Services Analytical Skills Debugging Communication Skills Kubernetes TensorFlow PyTorch Pandas Problemsolving
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Established in 1989, EbixCash Global Services is today recognized amongst the first independent customer retention and customer response organizations in India, with a variety of BPO, CRO and HRO offerings via nine contact centers across the country. The company serves industries and clients that ha...
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