Machine Learning Ops Engineer 2

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Candidates should possess experience with deploying models in production using cloud platforms like AWS Sagemaker, GCP AI Platform, or Azure ML Studio, along with experience utilizing MLOps tools such as MLflow, Kubeflow, or Airflow to automate and monitor the lifecycle of machine learning models. Furthermore, candidates are expected to have experience setting up scalable and fault-tolerant infrastructure to support model training and inference in cloud environments such as AWS, GCP, or Azure.

Responsibilities

The Machine Learning Ops Engineer 2 will develop, deploy, and manage ML models on Databricks using MLflow for tracking experiments, managing models, and registering them in a centralized repository, collaborate with the data engineering team to integrate model pipelines with real-time and batch data processing frameworks, implement monitoring systems to track model performance, accuracy, and drift over time, and create automated systems for re-training and continuous learning to maintain optimal performance.

Skills

MLflow

Databricks

Cloud Infrastructure (AWS, GCP, Azure)

Model Deployment

Model Monitoring

Data Pipeline Integration

Automation

Performance Optimization

Model Training

Real-time and Batch Data Processing

Modernizing Medicine

Specialty-specific electronic health record systems

About Modernizing Medicine

Modernizing Medicine provides specialty-specific Electronic Health Records (EHR) systems designed to improve the workflow of healthcare providers. Their main products, EMA and gGastro EHR, help users manage patient information and administrative tasks more efficiently, allowing them to concentrate on patient care. These systems adapt to the specific practices of each user, enhancing their effectiveness. Unlike many competitors, Modernizing Medicine focuses on tailored solutions for various medical specialties, which sets them apart in the healthcare technology market. The company's goal is to streamline healthcare delivery and improve patient outcomes by providing tools that simplify administrative processes.

Boca Raton, FloridaHeadquarters

2010Year Founded

$360.6MTotal Funding

LATE_VCCompany Stage

Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

401(k) Retirement Plan

401(k) Company Match

Professional Development Budget

Conference Attendance Budget

Hybrid Work Options

Remote Work Options

Wellness Program

Risks

Potential sale by Warburg Pincus could lead to strategic shifts misaligned with current goals.

Resistance to AI technologies may slow implementation and affect user satisfaction.

Dependency on Medtronic's technology poses risks if partnership faces challenges or strategic changes.

Differentiation

ModMed offers specialty-specific EHR systems, enhancing workflow efficiency for healthcare providers.

Their EHR systems, EMA and gGastro, adapt to user practices, increasing adaptability.

ModMed integrates AI technologies, like Medtronic's GI Genius, to improve procedural accuracy.

Upsides

ModMed consistently ranks #1 in G2's 2024 Grid Reports for EHR and RCM software.

Collaboration with Brevium enhances patient re-engagement, boosting retention in gastroenterology practices.

Appointment of Dan Costantino as CISO strengthens cybersecurity, crucial for healthcare data protection.

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