AI Innovation Leader
2 days ago
Transforming Diabetes Management with Innovative Solutions
We are seeking a highly skilled Senior Machine Learning Engineer to join our Digital Technology team. This individual will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions.
The successful candidate will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems. They will use software design principles to develop production-ready code, collect, preprocess, and analyze large datasets to train and evaluate machine learning models.
Key responsibilities include:
- Designing and developing machine learning models and algorithms to solve complex business problems
- Developing production-ready code using software design principles
- Collecting, preprocessing, and analyzing large datasets to train and evaluate machine learning models
- Optimizing and fine-tuning machine learning models for performance and accuracy
- Deploying machine learning models into production environments and monitoring their performance
Required Knowledge and Experience:
- Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
- 5+ years of industry experience in writing production-level, scalable code (e.g. in Python)
- 4+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning
- 4+ years of industry experience with distributed computing frameworks such as PySpark
- 4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
- 4+ years of industry experience with major cloud computing services like AWS or Azure or GCP
- 1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock.
- Experience in building Agentic AI applications.
- 2+ years of technical leadership leading junior engineers in a product development setting
Preferred Qualifications:
- MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
- Proficient in containerization services
- Proficient in Sagemaker to deploy the models
- Experience with working in CICD framework
- Experience in deploying and scaling Open source LLM Models.
This role offers opportunities for professional growth and development, working with a talented team of professionals, and contributing to innovative projects that make a meaningful impact.
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