

Gen AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI/ML Engineer in Alpharetta, GA (Hybrid 3 days/week) with a contract length of "unknown" and a pay rate of "unknown." Requires 8+ years of AI experience, proficiency in Python, TensorFlow, NLP, and leadership in technology strategy.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Alpharetta, GA
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π§ - Skills detailed
#REST API #Deep Learning #API (Application Programming Interface) #Langchain #Leadership #Database Design #NoSQL #ML (Machine Learning) #AI (Artificial Intelligence) #Python #REST (Representational State Transfer) #Computer Science #TensorFlow #NLP (Natural Language Processing) #Cloud #Strategy #RDBMS (Relational Database Management System) #Automation #Programming #Knowledge Graph #R
Role description
Role: Gen AI/ML Engineer
Location: Alpharetta, GA (Hybrid 3 Days a Week)
β’ Artificial intelligence engineers leverage deep learning, neuro-linguistic programming (NLP), chatbots, knowledge graphs, generative AI, and agentic / robotic platforms to improve business outcomes and drive innovation.
β’ The engineer will be part of a multidisciplinary team focused on shaping AI strategy and roadmaps by showcasing the potential for AI through early-stage solutions. This provides an opportunity to take advantage of emerging trends and technologies and make a real-world difference.
β’ Objectives of this role:
β’ Manage and direct processes and R&D (research and development) to meet the needs of AI strategy
β’ Understand company and client challenges and how integrating AI capabilities can help lead to solutions
β’ Lead cross-functional teams in identifying and prioritizing key areas of a partnerβs business where AI solutions can drive significant business benefit
β’ Analyze and explain AI and machine learning (ML) solutions while setting and maintaining ethical and governance standards
Responsibilities:
β’ Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
β’ Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
β’ Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
β’ Manage a team in conducting assessments of the AI and automation market and competitor landscape
β’ Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Required skills and qualifications:
β’ 8+ years of experience in applying AI to practical and comprehensive technology solutions
β’ Experience with ML, deep learning, TensorFlow, Python, NLP, and Agentic languages (e.g., LangChain / AutoGen)
β’ Experience in program leadership, governance, and change enablement
β’ Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
β’ Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Preferred skills and qualifications:
β’ Bachelorβs or master's degree in computer science or related field
β’ Experience with innovation accelerators
β’ Experience with cloud environments
Role: Gen AI/ML Engineer
Location: Alpharetta, GA (Hybrid 3 Days a Week)
β’ Artificial intelligence engineers leverage deep learning, neuro-linguistic programming (NLP), chatbots, knowledge graphs, generative AI, and agentic / robotic platforms to improve business outcomes and drive innovation.
β’ The engineer will be part of a multidisciplinary team focused on shaping AI strategy and roadmaps by showcasing the potential for AI through early-stage solutions. This provides an opportunity to take advantage of emerging trends and technologies and make a real-world difference.
β’ Objectives of this role:
β’ Manage and direct processes and R&D (research and development) to meet the needs of AI strategy
β’ Understand company and client challenges and how integrating AI capabilities can help lead to solutions
β’ Lead cross-functional teams in identifying and prioritizing key areas of a partnerβs business where AI solutions can drive significant business benefit
β’ Analyze and explain AI and machine learning (ML) solutions while setting and maintaining ethical and governance standards
Responsibilities:
β’ Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
β’ Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
β’ Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
β’ Manage a team in conducting assessments of the AI and automation market and competitor landscape
β’ Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Required skills and qualifications:
β’ 8+ years of experience in applying AI to practical and comprehensive technology solutions
β’ Experience with ML, deep learning, TensorFlow, Python, NLP, and Agentic languages (e.g., LangChain / AutoGen)
β’ Experience in program leadership, governance, and change enablement
β’ Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
β’ Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Preferred skills and qualifications:
β’ Bachelorβs or master's degree in computer science or related field
β’ Experience with innovation accelerators
β’ Experience with cloud environments