Jobs via Dice · 3 months ago
Machine Learning Engineer
Dice is the leading career destination for tech experts at every stage of their careers, and they are seeking a Machine Learning Engineer for their client, GlobalLogic Inc. The role involves developing and deploying machine learning models, leveraging AWS Cloud Services, and applying data science techniques to solve complex problems.
Computer Software
Responsibilities
Proven experience developing and deploying ML models in Python
Strong proficiency with AWS Cloud Services, including SageMaker, Bedrock, Lambda, EC2, S3, and API Gateway
Solid understanding of data science techniques: data preprocessing, feature engineering, model training, and evaluation
Familiarity with AWS Bedrock for LLM-based and generative AI solutions
Experience using or integrating AWS Q for development, documentation, and knowledge automation
Working knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Strong problem-solving, analytical, and communication skills
Qualification
Required
Proven experience developing and deploying ML models in Python
Strong proficiency with AWS Cloud Services, including SageMaker, Bedrock, Lambda, EC2, S3, and API Gateway
Solid understanding of data science techniques: data preprocessing, feature engineering, model training, and evaluation
Familiarity with AWS Bedrock for LLM-based and generative AI solutions
Experience using or integrating AWS Q for development, documentation, and knowledge automation
Working knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Strong problem-solving, analytical, and communication skills
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
Preferred
Experience with MLOps pipelines and CI/CD on AWS
Exposure to large language models (LLMs) or generative AI applications
Familiarity with containerization (Docker) and orchestration (ECS, EKS)
Experience with data visualization tools and SQL/NoSQL databases
Company
Jobs via Dice
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Funding
Current Stage
Early StageCompany data provided by crunchbase