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Collabera LLC

AI/ML Support Engineer

Career Insights for Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$140,037 / year median in Louisiana

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Job Description

About the role: AI/ML Support Engineer Onsite in Baton Rouge, LA - who can work onsite Pay rate: $38/Hour - $43/Hour ( Depending on the experience) We are in search for possible candidates for our newest client requirement. Summary This profile outlines the desired skills and experience for an AIML Support Engineer, empowering teams to effectively identify and recruit qualified candidates. Ideal candidates should possess a strong foundation in AIML, machine learning, and natural language processing, with a specific emphasis on data analysis, data pipelines, and model deployment. They should be capable of troubleshooting model-related issues, optimizing model performance, and providing expert support for various AIML platforms.
Technical Skills:
Compute Fundamentals:
Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.
Cloud Technologies:
Experience with cloud platforms like G Cloud, AWS, and Azure, including their AI/ML services. Generative AI Experience with LLM and Generative AI and G Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)
ML Development:
Experience with Machine Learning model development and deployment.
AIML Frameworks:
Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.
Must Have Experience:
Troubleshooting Code Experience:
2 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.
AIML Experience:
+2 Experience with Machine Learning model development and deployment.
Troubleshooting Experience:
3+ years of experience in troubleshooting, diagnosing, and resolving complex issues. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually as applicable.