Infomatics Corp · 1 day ago
AI/ML Engineer
Alpharetta, GA
Contract
Onsite
Entry, Mid, Senior Level
1+ years expInfomatics Corp is seeking a highly motivated AI/ML Engineer to design, develop, deploy, and optimize machine learning and Generative AI solutions. The role involves working closely with product, data, and engineering teams to deliver scalable, production-ready AI solutions that drive real business impact.
ConsultingInformation TechnologySoftware
Responsibilities
Design, develop, train, and evaluate machine learning models using supervised, unsupervised, and reinforcement learning techniques
Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA) on structured and unstructured datasets
Select appropriate algorithms and evaluation metrics based on business use cases
Optimize model performance through hyperparameter tuning and experimentation
Deploy models into production environments with proper monitoring, versioning, and rollback strategies
Implement CI/CD pipelines for ML workflows and model lifecycle management
Design, test, and optimize prompts for Large Language Models (LLMs) such as GPT-4, Claude, and Llama 3
Apply advanced prompting techniques including: Chain-of-Thought (CoT), Few-Shot and Zero-Shot prompting, ReAct and tool-augmented reasoning patterns
Build and maintain Retrieval-Augmented Generation (RAG) pipelines to ensure factual, grounded, and reliable responses
Integrate LLMs with proprietary datasets using vector search and embeddings
Evaluate LLM output quality and continuously reduce hallucinations and bias
Write clean, scalable, and maintainable Python (3.x) code following best practices
Develop RESTful APIs and microservices to expose AI/ML capabilities to internal and external applications
Implement asynchronous programming and efficient data pipelines
Utilize ML and data science libraries including: NumPy, Pandas, Scikit-learn, PyTorch and/or TensorFlow
Collaborate with frontend and backend teams to integrate AI features into core products
Work with vector databases such as Pinecone, Milvus, Weaviate, or ChromaDB
Collaborate with DevOps teams on Dockerized deployments and Kubernetes-based orchestration
Ensure AI solutions meet performance, security, and scalability requirements
Document architectures, workflows, and design decisions
Qualification
Required
Strong proficiency in Python 3.x, including async programming
Statistics, probability, and linear algebra
Algorithms such as Random Forests, XGBoost, Gradient Boosting, and Neural Networks
Hands-on experience crafting prompts for reliable and explainable LLM outputs
Experience with LangChain, LlamaIndex, or Haystack
Understanding of vector databases and embedding-based retrieval systems
Strong analytical and problem-solving mindset
Ability to communicate complex AI/ML concepts to non-technical stakeholders
Self-starter with a passion for continuous learning in the rapidly evolving GenAI space
Strong collaboration skills across cross-functional teams
End-to-end model development and deployment
REST API development for ML models
Production ML experience
Design and implementation of scalable, enterprise-grade ML systems
Advanced statistical modeling and optimization techniques
Preferred
Data preprocessing using Pandas and NumPy
Exposure to cloud-based AI/ML services
NLP and deep learning experience
Experience with cloud ML platforms such as AWS SageMaker or Azure AI
Experience with REST or GraphQL API integrations
Docker and Kubernetes exposure
Fine-tuning or adapting open-source models (Hugging Face ecosystem)
GitHub repository or portfolio showcasing AI/ML projects, prompt libraries, or GenAI solutions
Company
Infomatics Corp
With a distinguished client list that includes Fortune 500 companies, we work hard to keep Infomatics at the forefront in the ever-changing IT landscape, retooling our workforce and hiring the brightest minds from across the globe.
51-200 employees
H1B Sponsorship
Infomatics Corp has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (49)
2024 (39)
2023 (111)
2022 (216)
2021 (180)
2020 (144)
Funding
Current Stage
Growth StageCompany data provided by crunchbase