AI/ML Engineer

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

Docker
Flask
Jenkins
Groovy
Java
Python
Scrum
Vertex
Terraform
Agile
AWS Batch
Artificial Intelligence
Amazon S3
Machine Learning (ML)
Amazon SQS
Kanban
Object-Oriented Programming
Pandas

Job Details

Digipulse Technologies, Inc (DTI) is a software solutions company offering focused IT services to fortune 1000 clients. We provide services in enterprise application development, system integration & support services for Insurance, Financial, Hospitality, Telecommunication, Pharmaceutical & Banking sectors.

Required Skills:

-Python software development -Packaging and containerizing using CI/CD technology (jenkins docker terraform etc) -Experience building (Rest, Flask, or FastAPI) APIs

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).

Regards

Archana

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.