senior AI Engineer

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• Bengaluru, India
• Information Technology
• No
• Regular Full-Time
• 2548
  
  

Emmes Global

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Overview

Job Description

Emmes Group: Building a better future for us all.

Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.

We believe the work we do will have a direct impact on patients’ lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We’re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!

About OptymEdge

OptymEdge is a global leader in ophthalmic endpoint certification, partnering with leading biopharma sponsors and CROs to ensure the quality and consistency of visual function data in clinical trials. With a reputation built on scientific expertise, operational excellence, and global delivery, we’ve become a trusted name in advancing treatments for sight-threatening diseases.

As the field evolves, so do we. OptymEdge is expanding into technology-driven product development, creating a new generation of platforms that redefine how ophthalmic data is captured, analyzed, and leveraged across the clinical trial lifecycle. Our innovations span AI-powered imaging, digital examiner certification, and intelligent operational tools designed to anticipate trial needs, streamline oversight, and enhance decision-making.

This is a rare opportunity to help shape transformative technology at the intersection of science, software, and sight—driving real-world impact in a field where every data point can influence patient vision.

Primary Purpose

We are seeking an experienced Senior AI Engineer with 4–8 years of experience, with a mandatory background in image analysis (segmentation, classification, or object detection). Experience with medical imaging is highly preferred.

This position involves designing and deploying deep learning models to support radiology and imaging clinical workflows. Its good to have experience in GenAI, RAG, or Agentic AI, as it adds value to the role.

Responsibilities

•  Develop and fine-tune deep learning models for computer vision tasks such as image classification, segmentation, and object detection using architectures like ResNet, U-Net, YOLO, and other CNN-based models
• Preprocess and manage large-scale image datasets, including 2D and 3D formats (e.g., DICOM, NIfTI, PNG).
• Design scalable AI/ML pipelines for training, validation, and deployment in clinical workflows.
• Collaborate with SMEs, data managers, radiologists, and DevOps teams to define AI needs and deployment architecture.
• Deploy models using AWS services such as SageMaker, Lambda, Bedrock, etc.
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Qualifications

• 4–8 years of industry experience in machine learning, deep learning, or computer vision.
• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, OpenCV.
• Practical experience deploying AI/ML solutions using AWS cloud services.
• Strong problem-solving skills and experience working in cross-functional teams.
  
  

Preferred Qualifications

• Prior experience with medical imaging workflows and data formats (e.g., DICOM, NIfTI).
• Familiarity with PACS, radiology systems, or healthcare standards like HL7/FHIR.
• Exposure to regulatory or compliance considerations (e.g., HIPAA, FDA).
• Experience or interest in Gen AI,RAG and Agentic AI
  
  

Cloud & AWS Ecosystem Requirements

Hands-on experience with the AWS cloud ecosystem for training, deploying, and monitoring AI/ML models (e.g., SageMaker, Lambda, Bedrock, ECS, CloudWatch, etc.) is preferred.

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