Talent Groups ยท 2 hours ago
Machine Learning Engineer
Talent Groups is seeking a Full-Stack AI/ML Engineer to design, build, and deploy AI-driven solutions that transform data into production-ready intelligence. This role encompasses the full AI lifecycle, requiring collaboration with product owners and Scrum teams to deliver scalable AI capabilities that align with business goals.
Responsibilities
Design and implement AI/ML solutions that automate, optimize, and enhance business workflows
Acquire and preprocess structured and unstructured data from APIs, databases, OCR pipelines, and document sources
Conduct exploratory data analysis (EDA) and build predictive and statistical models using Python and modern ML frameworks
Develop and fine-tune Large Language Model (LLM) pipelines using tools such as OpenAI, Azure OpenAI, Hugging Face, and LangChain
Implement retrieval-augmented generation (RAG) and document intelligence systems
Develop and deploy production-grade APIs and microservices (FastAPI or similar) integrated with MLOps best practices
Collaborate with data engineers on pipeline efficiency and software engineers on product integration
Monitor, retrain, and optimize deployed models for performance and accuracy
Research and prototype emerging AI techniques, including multimodal models and AI agents
Document architectures, design decisions, and experiment outcomes for transparency and reproducibility
Contribute as an active member of an Agile/Scrum team through sprint planning, backlog grooming, and daily stand-ups
Participate in code reviews, maintain clean coding standards, and contribute to shared AI libraries and internal frameworks
Qualification
Required
5+ years of hands-on experience in data science, ML engineering, or applied AI with production deployments
Strong proficiency in Python (Pandas, NumPy, scikit-learn, LangChain, LangGraph, etc.) and SQL
Experience with ML frameworks such as TensorFlow or PyTorch
Skilled in data acquisition, ETL pipelines, and feature engineering across APIs, cloud storage, and databases
Proficiency in FastAPI for model deployment as microservices
Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD)
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and their AI/ML ecosystems
Working knowledge of LLMs and Generative AI frameworks
Strong understanding of EDA, model validation, and experiment tracking
Familiarity with vector databases for semantic search and RAG workflows
Comfortable in Agile/Scrum environments with strong communication and documentation skills
Proven ability to take AI/ML models from prototype to production and drive continuous improvement
Company
Talent Groups
Talent Groups delivers exceptional experiences by solving the toughest IT talent and technology challenges across all industries.
Funding
Current Stage
Late StageTotal Funding
unknown2018-07-01Acquired
Recent News
2024-05-20
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