Senior AI Engineer- #26-13102

Duration: 6+ Months Contract with possible extension to long term

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

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: TensorFlow, PyTorch, Scikit-learn
• AI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs
• Data Tools (Optional): Pandas, NumPy, Spark
• APIs & Microservices development
• Version control (Git)
• Cloud & DevOps: Experience with AWS, Containers: Docker, ECS/EKS, CI/CD pipelines (GitHub Actions Or Jenkins Or GitLab CI)
• Data & Systems: Databases: SQL, NoSQL; 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 DevOps 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 SageMaker, Clienture ML, Vertex AI, or OpenAI APIs
• Collaborate with DevOps, 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

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 www.ustechsolutions.com.
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.

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