Machine Learning Engineer
4 weeks ago
Duration: 09 months contract
Job Description:
The Machine Learning Engineer will be responsible for designing, implementing, and deploying machine learning models and algorithms to solve complex business problems. You will work closely with data scientists, software engineers, and product managers to develop scalable solutions that leverage advanced analytics and machine learning techniques.
Responsibilities:
The Machine Learning (ML) Expert will:
Understand the business needs and requirements and translate them into ML solutions.
Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner.
Collaborate with internal clients to identify new opportunities for ML applications and models.
Ensure that ML Models are aligned with the bank’s overall strategy and goals.
Work with Application Development teams to deploy and support ML models in production environments.
Stay up to date with the latest development in ML and AI and apply this knowledge to first improve the performances of applications (current & past), and second to the benefits of the team.
Experience:
8+ of hands-on experience in designing, developing, and deploying machine learning models for real-world applications. Proven ability to work with various types of models such as classification, regression, clustering, and deep learning.
Skills:
Experience with machine learning frameworks such as Tensorflow, PyTorch, or scikit-learn.
Strong programming skills in languages such as Python, database manipulation (SQL), statistical modeling, data analysis techniques.
Experience with CI/CD pipelines (GIT, Jenkins, …) and MLOps (MLFlow).
Education:
Master’s degree in computer science, mathematics, statistics, or a related field.
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, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Anisha
Email:
Internal Id: 24-18627
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