What are the responsibilities and job description for the AI Engineer position at JPS Tech Solutions?
Job Category: AI
Job Type: Onsite
Job Location: Colorado Denver
Compensation: Depends on Experience
Job Description
Job Description:
We are seeking a highly experienced AI Engineer to design, develop, and deploy scalable AI and machine learning solutions in production environments. The ideal candidate will have a strong background in building intelligent systems, optimizing models, and integrating AI capabilities into enterprise applications.
Key Responsibilities
Your Name *
Your Phone Number *
Your Email Address *
Job id
What is your current U.S. visa or immigration status? *
SelectU.S. Citizen (USC)Lawful Permanent Resident (Green Card holder)H1BF1-OPT/Stem-OPT/CPT EADH4-EADL-2SGC-EADOther Valid Visa
Where are you currently located at? *
W2 or C2C *
SelectW2C2C
How many years of total experience do you have? *
How many years of relevant experience do you have? *
Do you require H1B sponsorship? *
YesNo
Do you require sponsorship? *
NoYes – H-1B transferYes – Green Card sponsorshipYes – Both H-1B transfer and Green Card sponsorship
Upload Resume *
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Job Type: Onsite
Job Location: Colorado Denver
Compensation: Depends on Experience
Job Description
Job Description:
We are seeking a highly experienced AI Engineer to design, develop, and deploy scalable AI and machine learning solutions in production environments. The ideal candidate will have a strong background in building intelligent systems, optimizing models, and integrating AI capabilities into enterprise applications.
Key Responsibilities
- Design, develop, and deploy machine learning and deep learning models for real-world business use cases
- Build and maintain scalable data pipelines and AI-driven microservices using Python
- Implement model training, evaluation, tuning, and performance optimization techniques
- Integrate AI/ML solutions into enterprise applications through APIs and cloud platforms
- Support MLOps practices including CI/CD pipelines, deployment automation, and production monitoring
- Ensure model reliability, scalability, and performance in production environments
- Collaborate with engineering, data, and business teams to translate requirements into AI solutions
- 12 years of overall experience in software engineering, AI, or machine learning
- Strong expertise in Python, including NumPy, Pandas, and FastAPI
- Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Proven experience deploying and maintaining ML models in production environments
- Strong understanding of cloud platforms such as AWS, Azure, or GCP
- Experience with Docker, Kubernetes, and containerized deployments
- Solid knowledge of RESTful APIs and microservices architecture
- Experience with MLOps, CI/CD pipelines, and model monitoring
- Experience with NLP, Large Language Models (LLMs), or Generative AI
- Familiarity with enterprise-scale, distributed systems and data platforms
Your Name *
Your Phone Number *
Your Email Address *
Job id
What is your current U.S. visa or immigration status? *
SelectU.S. Citizen (USC)Lawful Permanent Resident (Green Card holder)H1BF1-OPT/Stem-OPT/CPT EADH4-EADL-2SGC-EADOther Valid Visa
Where are you currently located at? *
W2 or C2C *
SelectW2C2C
How many years of total experience do you have? *
How many years of relevant experience do you have? *
Do you require H1B sponsorship? *
YesNo
Do you require sponsorship? *
NoYes – H-1B transferYes – Green Card sponsorshipYes – Both H-1B transfer and Green Card sponsorship
Upload Resume *
Δ
Facebook X LinkedIn WhatsApp