Senior AI/ML Engineer

Role Title - AI/ML Analyst or Engineer

Role Type - Full time

Role Reports to Chief Technology Officer

Work Location -

Plenome Technologies

8^th floor, E Block, IITM Research Park, Taramani

Job Overview

The Technical Lead will drive our AI strategy and implementation while managing a team of developers. Key responsibilities include architecting LLM solutions, ensuring scalability, implementing multilingual capabilities, and developing healthcare-specific AI models.

You will oversee the development of AI agents that can understand and process medical information, interact naturally with healthcare professionals, and handle complex medical workflows. This includes ensuring data privacy, maintaining medical accuracy, and adapting models for different healthcare contexts.

Job Specifications

Educational Qualifications - Any UG/PG graduates

Key Job Responsibilities

ML applications & training

· Understanding of machine learning concepts and experience with ML frameworks like PyTorch, Tensorflow, or others

· Experience with production of ML applications on web or mobile platforms

NLP & feature engineering

· Experience in developing customized AI powered features from scratch to production involving NLP and other models

· Designing, deploying and subsequent training of multimodal applications based on clinical requirements

LLMs & fine-tuning

· Experience with open-source LLMs (preferably Llama models) and fine-tuning through client data and open-source data

· Experience with LLM frameworks like LangChain, Llama Index or others, and with any vector databases

· Implement RAG architecture to enhance model accuracy with real-time retrieval from clinical databases and medical literature

Data pipelines & architecture

· Design end-to-end clinical AI applications, from data ingestion to deployment in clinical settings with integrations

· Experience with Docker and Kubernetes for application serving at large scale, and developing data pipelines and training workflows

API development

· Experience with deploying LLM models on cloud platforms (AWS, Azure or others)

· Experience with backend and API developments for external integrators

Documentation & improvements

· Version control with Git, and ticketing bugs and features with tools like Jira or Confluence

Behavioral competencies

Attention to detail

· Ability to maintain accuracy and precision in financial records, reports, and analysis, ensuring compliance with accounting standards and regulations.

Integrity and Ethics

· Commitment to upholding ethical standards, confidentiality, and honesty in financial practices and interactions with stakeholders.

Time management

· Effective prioritization of tasks, efficient allocation of resources, and timely completion of assignments to meet sprint deadlines and achieve goals.

Adaptability and Flexibility

· Capacity to adapt to changing business environments, new technologies, and evolving accounting standards, while remaining flexible in response to unexpected challenges.

Communication & collaboration

· Experience presenting to stakeholders and executive teams

· Ability to bridge technical and non-technical communication

· Excellence in written documentation and process guidelines to work with other frontend teams

Leadership competencies

Team leadership and team building

· Lead and mentor a backend and database development team, including junior developers, and ensure good coding standards

· Agile methodology to be followed, Scrum meetings to be conducted for sync-ups

Strategic Thinking

· Ability to develop and implement long-term goals and strategies aligned with the organization’s vision

· Ability to adopt new tech and being able to handle tech debt to bring the team up to speed with client requirements

Decision-Making

· Capable of making informed and effective decisions, considering both short-term and long-term impacts

· Insight into resource allocation and sprint building for various projects

Team Building

· Ability to foster a collaborative and inclusive team environment, promoting trust and cooperation among team members

Code reviews

· Troubleshooting, weekly code reviews and feature documentation and versioning, and standards improvement

Improving team efficiency

· Research and integrate AI-powered development tools (GitHub Copilot, Amazon Code Whisperer)

Added advantage points

Regulatory compliances

· Experience with HIPAA, GDPR compliant software and data storage systems

· Experience in working with PII data and analytical data in highly regulated domains (finance, healthcare, and others)

· Understanding of healthcare data standards and codes (FHIR, SNOMED) for data engineering

AI safety measures

· Knowledge of privacy protection and anti-data leakage practices in AI deployments

Interested candidates can share the updated resumes to below mentioned ID.

Contact Person - Janani Santhosh - Senior HR Professional

Email ID - careers@plenome.com

• Medical Equipment Manufacturing

Full-time