AI Machine Learning Engineer role at Apex Systems . Location: Miami, FL. Duration: 6-12 month CTH.
This client is looking for an ML & AI Engineer. Need data/AI resource to assist with their networking team. Someone who really understands data using the AI model to push it farther. Traditional ML learning. They have satellite data they are putting into Snowflake. They use AWS to predict the future usage of satellite. They are using genAI right now using chatbot.
Looking for someone who understands structured data and unstructured data, someone who can deeply understand data and do the extensive ML to analyze the data, along with some AI. LLM framework. PyTorch , lanechain , & RAG . Prior enterprise experience (they already have a prototype with PyTorch).
1-2 years experience in AI, 10+ years in IT/Enterprise Data Exp. Need prior Lead exp, and a Bachelors Degree. Leading 6 resources 3 shoreside, 3 offshore, they have already started the lanechain initiatives. Not necessarily leading these people but will be leading the AI initiative.
Day-to-day responsibilities include machine learning work to analyze data and lead the AI initiative. This is a senior level engineer/principal architect role in-house. They will be leading the AI initiative. Will be leading a team through their AI initiative. The team consists of 5-6 automation engineers (offshore & onshore).
As a contract employee of Apex Systems, benefits include the below with employee contribution:
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [emailprotected] or 844-463-6178.
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