HTC Global Services
Overview
Join to apply for the
AI/ML Engineer
role at
HTC Global Services . HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you\'ll collaborate with experts, join successful teams contributing to our clients\' success, and work side by side with our clients with long-term opportunities to advance your career with the latest emerging technologies. Our consultants have access to a comprehensive benefits package, including Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Position Responsibilities
Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
Collaborate with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments.
Maintain and manage current CI/CD ecosystem and tools.
Find ways to automate and continually improve current CI/CD and release processes.
Examine, inspect code and scripts, and resolve issues across the full application stack.
Help innovate and standardize development practices for building cloud-native AI products.
Experiment, innovate and share knowledge with the team.
Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.
Basic Qualifications
A Bachelor’s degree in Computer Science / Computer Engineering or a similar technical discipline.
3+ years of work experience as a backend software engineer in Python with strong software engineering knowledge.
2+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure).
Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery, etc.
Advanced working knowledge of object-oriented programming languages: Python, C/C++.
Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django).
Experience/understanding in MLOps, Gen AI, AI agents.
Experience with ML workflow orchestration tools: Airflow, Kubeflow, etc.
Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions, etc.
Experience in container management solutions: Kubernetes, Docker.
Experience with scripting language: Bash, PowerShell, etc.
Experience with Infrastructure as Code: Terraform, etc.
Desired Skills
A Master\'s degree focused in Computer Science / Machine Learning or a related field.
Experience working with Google Cloud Platform (GCP) – GKE, CloudSQL, BigQuery, Firestore, Pub/Sub, Memorystore, Elasticsearch, etc.
Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, CrewAI, etc.
Experience building and deploying serverless applications on Cloud Run.
Experience in paired programming and Test-Driven Development.
Knowledge of coding and software craftsmanship practices.
Quick learner and open to learning new technology.
Experience applying agile practices to solution delivery.
Team-oriented with excellent oral and written communication skills.
Self-starter to identify bottlenecks and propose innovative solutions.
Skills Required
Python, GCP, REST APIs, Full Stack
Skills Preferred
Machine Learning, Artificial Intelligence & Expert Systems, Tekton, GitHub, Docker, Kubernetes
Experience Required
6+ years in IT; 4+ years in development. Engineer 3 experience: practical in 2 coding languages or advanced practice in 1 language.
Education Required
Bachelor\'s Degree
Education Preferred
Master\'s Degree
Additional Information
Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
Design, build, and maintain cloud infrastructure using IaC principles, managing configurations for dev, staging, and prod environments.
Maintain and manage current CI/CD ecosystem and tools.
Find ways to automate and continually improve current CI/CD and release processes.
Examine, inspect code and scripts, and resolve issues across the full application stack.
Help innovate and standardize development practices for building cloud-native AI products.
Experiment, innovate and share knowledge with the team.
Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.
Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology Industries IT Services and IT Consulting
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Join to apply for the
AI/ML Engineer
role at
HTC Global Services . HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you\'ll collaborate with experts, join successful teams contributing to our clients\' success, and work side by side with our clients with long-term opportunities to advance your career with the latest emerging technologies. Our consultants have access to a comprehensive benefits package, including Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
Position Responsibilities
Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
Collaborate with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments.
Maintain and manage current CI/CD ecosystem and tools.
Find ways to automate and continually improve current CI/CD and release processes.
Examine, inspect code and scripts, and resolve issues across the full application stack.
Help innovate and standardize development practices for building cloud-native AI products.
Experiment, innovate and share knowledge with the team.
Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.
Basic Qualifications
A Bachelor’s degree in Computer Science / Computer Engineering or a similar technical discipline.
3+ years of work experience as a backend software engineer in Python with strong software engineering knowledge.
2+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure).
Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery, etc.
Advanced working knowledge of object-oriented programming languages: Python, C/C++.
Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django).
Experience/understanding in MLOps, Gen AI, AI agents.
Experience with ML workflow orchestration tools: Airflow, Kubeflow, etc.
Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions, etc.
Experience in container management solutions: Kubernetes, Docker.
Experience with scripting language: Bash, PowerShell, etc.
Experience with Infrastructure as Code: Terraform, etc.
Desired Skills
A Master\'s degree focused in Computer Science / Machine Learning or a related field.
Experience working with Google Cloud Platform (GCP) – GKE, CloudSQL, BigQuery, Firestore, Pub/Sub, Memorystore, Elasticsearch, etc.
Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, CrewAI, etc.
Experience building and deploying serverless applications on Cloud Run.
Experience in paired programming and Test-Driven Development.
Knowledge of coding and software craftsmanship practices.
Quick learner and open to learning new technology.
Experience applying agile practices to solution delivery.
Team-oriented with excellent oral and written communication skills.
Self-starter to identify bottlenecks and propose innovative solutions.
Skills Required
Python, GCP, REST APIs, Full Stack
Skills Preferred
Machine Learning, Artificial Intelligence & Expert Systems, Tekton, GitHub, Docker, Kubernetes
Experience Required
6+ years in IT; 4+ years in development. Engineer 3 experience: practical in 2 coding languages or advanced practice in 1 language.
Education Required
Bachelor\'s Degree
Education Preferred
Master\'s Degree
Additional Information
Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
Design, build, and maintain cloud infrastructure using IaC principles, managing configurations for dev, staging, and prod environments.
Maintain and manage current CI/CD ecosystem and tools.
Find ways to automate and continually improve current CI/CD and release processes.
Examine, inspect code and scripts, and resolve issues across the full application stack.
Help innovate and standardize development practices for building cloud-native AI products.
Experiment, innovate and share knowledge with the team.
Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.
Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology Industries IT Services and IT Consulting
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr