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Senior GenAI/ML Developer

Roles & Responsibilities

  • Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
  • 5+ years of cloud-based solutions experience (AWS or equivalent), including system, network and operating system experience
  • 5+ years of hosting and deploying GenAI/ML solutions (e.g., data pre-processing, training, deep learning, fine-tuning, inferences) or Data Science experience
  • 5+ years of coding, data querying languages (SQL), and scripting languages (Python)

Requirements:

  • Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs
  • Providing technical guidance and implementation support throughout project delivery, focusing 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

Job description

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

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