Senior AI Engineer

Position: Senior AI Engineer #26-13102
Duration: 6+ Months Contract with possible extension to long term

Summary:

We are seeking a highly skilled Senior AI Engineer to design, build, and deploy scalable artificial intelligence and machine learning solutions. This role requires strong expertise in developing predictive models, implementing AI-powered applications, and integrating them into enterprise systems. The ideal candidate combines deep technical proficiency with practical experience in cloud platforms and production-grade AI systems. Required

Skills & Experience:

Overall minimum of 8 years of IT experience with minimum of 2 years of required AI tool working experience Programming:
Python (preferred), Java, or Scala ML Frameworks:
Tensor Flow, PyTorch, Scikit-learn AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs Data Tools (Optional):
Pandas, Num Py, Spark APIs & Microservices development Version control (Git) Cloud & Dev Ops:

Experience with AWS, Containers:
Docker, ECS/EKS, CI/CD pipelines (Git Hub Actions Or Jenkins Or Git Lab CI) Data & Systems:
Databases: SQL, No

SQL;
Familiarity with data pipelines and ETL processes (Optional);
Understanding of distributed systems

Roles & Responsibilities : AI/ML Model Development Design, develop, and optimize machine learning and deep learning models Build NLP, computer vision, or predictive analytics solutions Train, test, and evaluate models for accuracy, scalability, and performance Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases Data Engineering & Processing Collect, clean, and preprocess structured and unstructured datasets Work with large-scale data pipelines and streaming data systems Implement feature engineering and data transformation workflows Deployment & MLOps:

Deploy models into production using APIs, containers, or microservices Work with Dev Ops to build CI/CD pipelines for ML workflows (MLOps) Monitor model performance, drift, and reliability in production Optimize latency, throughput, and cost efficiency. Cloud & System Integration:

Integrate AI solutions into cloud platforms (AWS) Work with services like Sage Maker, Clienture ML, Vertex AI, or OpenAI APIs Collaborate with Dev Ops, backend, and frontend teams for implementation Research &

Innovation:

Stay up to date with emerging AI technologies and frameworks Evaluate and implement GenAI, LLMs, and prompt engineering techniques Prototype and experiment with new AI-driven solutions

Location:

Hybrid// Houston, TX (onsite for 1 day/ week)

Disclaimer: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit  US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement:
By applying, you acknowledge that AI-assisted tools may be used during hiring.