Astragen - MLOps Engineer - Predictive Modeling & Time Series Analysis (3-10 yrs)

Skills required :

1. Core AI and Machine Learning Skills :

- Data Science Expertise : Proficiency in developing predictive models, clustering, classification, and time-series analysis.

- Deep Learning Knowledge : Experience with neural networks for NLP, computer vision, and reinforcement learning.

- Algorithm Development : Strong background in designing and optimizing machine learning algorithms for scalability and accuracy.

- Experience with AI Frameworks : Proficiency in tools like TensorFlow, PyTorch, Keras, Scikit-learn, and Hugging Face for model development.

2. MLOps and Engineering Skills :

- Model Deployment Expertise : Experience with containerization tools (e.g., Docker, Kubernetes) for scalable deployment.

- Continuous Integration/Continuous Deployment (CI/CD) : Familiarity with automating the deployment of ML models into production.

- Data Pipeline Management : Expertise in building robust ETL pipelines and working with tools like Apache Spark, Kafka, or Airflow.

- Cloud Proficiency : Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure for model training and deployment.

3. Data and Domain Expertise :

- Healthcare Data Understanding : Familiarity with U.S. healthcare systems, including claims data, EHRs, and social determinants of health (SDOH).

- Regulatory Compliance : Knowledge of HIPAA, FHIR, and other data security and privacy regulations for healthcare applications.

- Data Labeling and Annotation : Experience with handling labeled datasets, including clinical notes and unstructured text data.

4. Natural Language Processing (NLP) Expertise :

- Text Analysis and Extraction : Expertise in extracting insights from clinical documents and unstructured text using NLP.

- Conversational AI : Ability to develop chatbots or conversational interfaces for patient and provider interactions.

- NLP Frameworks : Proficiency in tools like SpaCy, NLTK, and Hugging Face Transformers.

5. Systems Integration and API Development :

- Interoperability Skills : Experience integrating AI agents with EHR systems, claims management platforms, and provider portals.

- API Development : Proficiency in building RESTful APIs for seamless communication between systems.

- Real-Time Data Processing : Ability to develop systems for real-time data ingestion and analysis.

6. Soft Skills and Collaboration :

- Problem-Solving Ability : Capability to translate business problems into AI solutions.

- Agile Development Skills : Familiarity with iterative development methodologies.

- Collaboration : Strong communication skills to work effectively with cross-functional teams, including healthcare domain experts.

Preferred Qualifications :

- Proven experience in healthcare AI projects.

- Teams with academic or professional ties to premier institutions (e.g., IITs, NITs).

- Demonstrated success in deploying AI solutions in production environments.