Senior GenAI/ML Developer

Reposted 3 Days Ago
Plano, TX, USA
In-Office
Senior level
Internet of Things • Software • Consulting
Our people-first approach to technology offers best-in-class service and success rates.
The Role
Design, build, and deploy scalable GenAI/ML applications on AWS. Advise customers, gather requirements, lead model training and deployment, optimize performance, manage risks, and mentor colleagues while producing reusable artifacts.
Summary Generated by Built In
Description
CG Infinity is seeking a skilled Delivery Consultant to join our team. In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
 
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
 
Key job responsibilities
  •  Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
  •  Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
  •  Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
  •  Acting as a trusted advisor to customers on industry trends and emerging technologies
  •  Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
 
Basic Qualifications
  •  Experience developing software code in one or more programming languages (java, python, etc.)
  • Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
  •  5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
  •  5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
  •  5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
 
Preferred Qualifications
  •  Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
  •  AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
  •  Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
  •  Experience with coding, automation and scripting (e.g., Terraform, Python)
  •  Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Skills Required

  • Experience developing software in one or more languages (Java, Python, etc.)
  • Bachelor of Science in Computer Science or related field (or equivalent experience)
  • 5+ years of cloud-based solutions (AWS or equivalent), system, network and OS experience
  • 5+ years hosting and deploying GenAI/ML solutions or Data Science experience
  • 5+ years of coding, data querying (SQL), and scripting (Python)
  • Knowledge of AWS services (SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, EC2)
  • AWS Professional-level certifications (Solutions Architect Pro, DevOps Pro, ML Specialty)
  • Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer), CV, GNN or distributed training
  • Experience with automation and infrastructure-as-code (Terraform, Python)
  • Strong communication skills for technical and non-technical audiences
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The Company
HQ: Plano, TX
500 Employees
Year Founded: 1998

What We Do

Our people-first approach to technology offers best-in-class service and success rates. With the world of business and technology growing more complex and confusing every minute, CG Infinity keeps it simple for our clients. Your leaders work with our leaders throughout an engagement. The leaders of our small, blended teams work hand in hand with your team to ensure your objective success. We partner with companies in a vast array of industries, including the Energy & Utilities and Financial Services industries, to help them thrive in the modern marketplace by leveraging technology to drive their enterprise. From our perfect record in Salesforce implementations, our trusted experience integrating Salesforce with back-end applications, to our creative custom software solutions, CG Infinity is your trusted ally for business technology transitions. With our skilled employees and veteran leadership team, CG Infinity doesn’t complicate life for our clients, we simplify.

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