Sr AI/ML Engineer (GenAI)

Posted 3 Days Ago
Alpharetta, GA
In-Office
Senior level
Artificial Intelligence • Cloud • Database • Analytics
The Role
The AI/ML Engineer will leverage AI and ML technologies to improve business outcomes, manage processes, lead teams, and provide strategic insights to executives.
Summary Generated by Built In
Hello All,
We are Hiring AI/ML Engineer (Gen AI) in Alpharetta, GA. 
Below is the JD for the reference.

AI/ML Engineer
Alpharetta, GA (Hybrid 3 Days a Week)
Long Term
*** Local Candidates are Highly Preferred***
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.
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.
Objectives of this role:
• Manage and direct processes and R&D (research and development) to meet the needs of AI strategy
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions
• Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining ethical and governance standards
Responsibilities:
• Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
• 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
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
• Manage a team in conducting assessments of the AI and automation market and competitor landscape
• 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:
 8+ years of experience in applying AI to practical and comprehensive technology solutions
• Experience with ML, deep learning, TensorFlow, Python, NLP, and Agentic languages (e.g., LangChain / AutoGen)
• Experience in program leadership, governance, and change enablement
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Benefits & Perks:
Part of our mission statement is to provide a great life for our employees. We believe that happy employees make for a better company, so we take care of them. Here are a few of the perks we offer:
  • Flexibility for you to work in-office, hybrid or remote
  • Medical and Dental Premiums
  • Startup culture with opportunity to grow
  • Performance bonuses
  • Health, dental and vision insurance plans
  • Pursue growth and learning with career development expenses

Top Skills

AI
Autogen
Deep Learning
Langchain
Ml
Nlp
NoSQL
Python
Rdbms
Rest Api
TensorFlow
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The Company
Cupertino, California
9 Employees
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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