Job Role: Senior Machine Learning Engineer
Job Location: GA (HYBRID)
Job Type: Full-Time
Required Skill Sets/Qualifications:
Note:
Job Overview:
We are seeking a highly skilled and experienced Machine Learning Operations Engineer to join our team. As a Machine Learning Operations Engineer, you will play a crucial role in creating a centralized platform for various business units to submit use cases and leverage Gen AI. This role involves building frameworks and platforms, enabling teams to efficiently implement Gen AI solutions, utilizing Python, SQL, Data Bricks, AWS, Jenkins, and Terraform. The ideal candidate should have a deep understanding of big data solutions, managing data lakes, and developing data platforms. If you have a passion for machine learning operations and the expertise to bring Gen AI to life, we want to hear from you.
Key Responsibilities:
Develop and maintain a centralized platform for teams to submit and manage Gen AI use cases.
Collaborate with approved teams to implement Gen AI solutions by building frameworks and platforms to streamline development.
Utilize Python, SQL, Data Bricks, AWS, Jenkins, and Terraform to create a robust and scalable infrastructure for Gen AI.
Manage the entire data platform for the company, including the implementation of data lakes and the development of new products and features.
Work closely with Business Analysts, Data Analysts, Data Engineers, and Data Scientists to understand their requirements and implement solutions on the Gen AI platform.
Qualifications:
Bachelor’s degree in computer science, Engineering, or a related field.
5+ years of experience in machine learning operations.
Proven experience in Python and SQL for data manipulation and analysis.
Expertise in Data Bricks, including managing model lifecycle, training, deployment, and re-training.
Strong knowledge of AWS services, including Sagemaker, AWS Comprehend, and the AWS SDK.
Proficient in Jenkins for CI/CD pipelines and Terraform for infrastructure as code.
Previous experience working with big data solutions and managing data lakes.
Familiarity with document data or unstructured data and the ability to deploy client models and create APIs.
Skills and Abilities:
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Ability to work independently and as part of a cross-functional team.
Proactive mindset with a passion for staying up-to-date on industry trends.
Strong organizational and time-management skills.
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