Locations: Atlanta/Chicago  (Hybrid)
Duration: Contract
Job Description:
*	We are seeking an experienced Business Consultant – AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
*	The role will collaborate with data scientists, data engineers, application developers, and business stakeholders to build production-ready ML solutions and integrate AI capabilities into enterprise applications.
Day to Day Job Duties:
*	Design, develop, train, and deploy Machine Learning models for enterprise use cases.
*	Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
*	Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
*	Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
*	Develop automated ML pipelines for model training, testing, deployment, and monitoring.
*	Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
*	Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
*	Work with structured and unstructured datasets from multiple sources.
*	Monitor production models and address model performance, drift, and data-quality issues.
*	Participate in code reviews, technical design discussions, and Agile delivery activities.
Basic Qualifications:
*	5+ years of experience in Python development, Data Science, or Machine Learning engineering.
*	3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
*	3+ years of experience with data processing, feature engineering, SQL, and model development.
*	2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
Nice to Have:
*	Experience with Generative AI, Large Language Models (LLMs), and Agentic AI.
*	Knowledge of RAG, embeddings, vector databases, and semantic search.
*	Experience with LLM frameworks such as LangChain, LlamaIndex, or similar technologies.
*	Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms.
*	Knowledge of MLOps tools and model lifecycle management.
*	Experience with Docker, Kubernetes, and CI/CD pipelines.
*	Familiarity with Spark, Databricks, Snowflake, or other enterprise data platforms.
*	Understanding of responsible AI, model governance, security, and data privacy.
*	Experience developing AI solutions within Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
*	Strong analytical, problem-solving, communication, and stakeholder management skills.
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Software Engineer

Onsite Contract Position for AI/ML Engineer in Atlanta/Chicago
