AI/ML Engineer
Job: AI/ML Engineer
Location: Jersey City NJ (2 weeks onsite in a week)
Long term contract
What are the top three MUST have skills
• -Python software development
• -Packaging and containerizing using CI/CD technology (Jenkins docker terraform etc.)
• -Experience building (Rest, Flask, or FastAPI) APIs
What are the NICE to have skills:
• -Cloud experience (AWS Sagemaker, bedrock, lambda, CloudFormation)
• -Azure cognitive services
• -General AI/ML tools experience with (triton inference server, deep java library, hugging face)
• -Postgres or DynamoDB
The Expertise You Have
• Has Bachelor’s or Master’s Degree or equivalent experience in a technology related field (e.g. Computer Science, Engineering, etc.).
• Proficiency in Python software development with strong experience in its ML ecosystem (numpy, pandas, sklearn, tensorflow, etc.), along with solid skills in Linux scripting. Ability to design and implement software using both object-oriented and functional programming paradigms. Basic knowledge of Java and Groovy is a plus.
• Proven experience in building cloud-native applications using a range of AWS services, including but not limited to SageMaker AI, Bedrock, S3, CloudFormation (CFT), SNS, SQS, Lambda, AWS Batch, Step Functions, EventBridge, and CloudWatch. Familiarity with both Azure Cognitive Services, particularly for deploying OpenAI models, and Google Compute Vertex is beneficial.
• Strong experience with CI/CD tools, particularly Jenkins, for automating and streamlining the software development pipeline. Proficient in using version control systems like Git for effective code management and collaboration. Hands-on experience with containerization technologies such as Docker for building and deploying applications. Expertise in infrastructure as code (IaC) services, including AWS CloudFormation and tools like Terraform or OpenTofu, for managing and provisioning cloud resources
• Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
• Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
• 5+ years of proven experience in developing and implementing Python-based cloud applications and/or machine learning solutions.
• Solid experience in Agile methodologies (Kanban and SCRUM).
Job: AI/ML Engineer
Location: Jersey City NJ (2 weeks onsite in a week)
Long term contract
What are the top three MUST have skills
• -Python software development
• -Packaging and containerizing using CI/CD technology (Jenkins docker terraform etc.)
• -Experience building (Rest, Flask, or FastAPI) APIs
What are the NICE to have skills:
• -Cloud experience (AWS Sagemaker, bedrock, lambda, CloudFormation)
• -Azure cognitive services
• -General AI/ML tools experience with (triton inference server, deep java library, hugging face)
• -Postgres or DynamoDB
The Expertise You Have
• Has Bachelor’s or Master’s Degree or equivalent experience in a technology related field (e.g. Computer Science, Engineering, etc.).
• Proficiency in Python software development with strong experience in its ML ecosystem (numpy, pandas, sklearn, tensorflow, etc.), along with solid skills in Linux scripting. Ability to design and implement software using both object-oriented and functional programming paradigms. Basic knowledge of Java and Groovy is a plus.
• Proven experience in building cloud-native applications using a range of AWS services, including but not limited to SageMaker AI, Bedrock, S3, CloudFormation (CFT), SNS, SQS, Lambda, AWS Batch, Step Functions, EventBridge, and CloudWatch. Familiarity with both Azure Cognitive Services, particularly for deploying OpenAI models, and Google Compute Vertex is beneficial.
• Strong experience with CI/CD tools, particularly Jenkins, for automating and streamlining the software development pipeline. Proficient in using version control systems like Git for effective code management and collaboration. Hands-on experience with containerization technologies such as Docker for building and deploying applications. Expertise in infrastructure as code (IaC) services, including AWS CloudFormation and tools like Terraform or OpenTofu, for managing and provisioning cloud resources
• Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
• Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
• 5+ years of proven experience in developing and implementing Python-based cloud applications and/or machine learning solutions.
• Solid experience in Agile methodologies (Kanban and SCRUM).
