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, color, 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.