FIND_THE_RIGHTJOB.
Associate AI Engineer
India
Overview:
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!
Primary Purpose
CONNECT WITH US!
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!
Primary Purpose
We are seeking a motivated Associate AI Engineer to join our team and contribute to the development and deployment of AI-powered applications using AWS technology stack. In this role, you will help build, evaluate, enhance AI / ML models and algorithms and then assist in managing their deployment workflows as part of production-ready AI services. You will collaborate with cross-functional teams including, Data Engineers, AI Engineers, Software Engineers, DevOps Engineers and Product Managers, to deliver secure, scalable and compliant AI solutions that accelerate clinical trials and generate actionable insights.
Responsibilities:
- Contribute to design, implementation and enhancing AI / ML models and algorithms.
- Assist in data preprocessing, feature engineering, dataset preparation and experimentation.
- Perform model training, evaluation and performance monitoring using AWS AI / ML services.
- Participate in development of AI applications by writing clean, modular and testable code aligned with software engineering best practices.
- Support AI application deployment workflows using Docker containerization, CI/CD pipelines and API based inference services.
- Implement observability of AI functionality executions through logging, monitoring and tracing.
- Perform code reviews, functional testing and model optimizations.
- Stay updated on AI / ML tool advancements within AWS and relevant industry best practices.
- Solid programming skills in Python with experience in AI / ML and data processing libraries.
- Basic understanding of programming concepts such as OOP, data structures and algorithms.
- Experience with Git version controlling and collaborative development workflows.
- Ability to read and adapt from model documentation, research articles, Hugging face model cards and other AI / ML articles.
- Strong problem-solving mindset and curiosity to explore model behaviors and enhancements.
- Exposure to SQL querying would be a plus.
- Good verbal and written communication skills in English.
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Preferred Skills:
- In-depth understanding of NLP concepts and experience in running inferences using LLMs.
- Experience with AI / ML python packages: scikit-learn, spaCy, LangChain, Hugging Face, Transformers and PyTorch.
- Experience with data processing python packages: Pandas and NumPy.
- Exposure to AWS services: S3, ECR, Lambda, Sagemaker, Bedrock, DynamoDB and Redshift.
CONNECT WITH US!
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Find us on LinkedIn - Emmes
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