Machine Learning Engineer

Duration: 6+ Months Contract to Hire

Job Description:

• We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role. You will architect and implement innovative ML solutions, working closely with data scientists and engineers to put algorithms and models into practice to solve our customers' most challenging problems. You will take the lead in planning, designing, and running experiments, while researching new algorithms to deliver impactful solutions.

Responsibilities:

• Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.
• Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.
• Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.
• Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.
• Engage directly with customers to understand their business problems and help implement tailored ML solutions.
• Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.
• Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.
• Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.
• Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
• Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.
• Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
• Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.

Qualification:

• Proven experience in building and deploying machine learning models at scale.
• Proficiency with deep learning frameworks like PyTorch and TensorFlow.
• Experience with cloud-native machine learning solutions, preferably on AWS.
• Experience with Databricks
• Experience with Agile MethodologyStrong understanding of MLOps workflows, including model management.
• Ability to work independently and collaboratively with cross-functional teams.
• Hybrid Work location

Experience:

• 8+ Years.
  

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.