ExpertsHub.ai · 9 hours ago
Artificial Intelligence Specialist
United States
Full-time
Remote
Senior Level, Lead/Staff
8+ years expExpertsHub.ai is a company focused on leveraging artificial intelligence to solve complex business problems. They are seeking an AI/ML Lead Engineer to manage the full ML lifecycle, design solutions using Large Language Models, and collaborate with cross-functional teams to deliver integrated AI features.
Computer Software
Responsibilities
Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving
LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems
Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock, to build scalable and efficient solutions
MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration
Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality
Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact
Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features
Qualification
Required
8+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field
Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn)
Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure)
Deep understanding of the architecture and fine-tuning of Large Language Models
Practical experience with MLOps tools (e.g., MLFlow) and validation frameworks (e.g., DeepEval)
Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions
Must have Banking domain experience
Preferred
Hands-on experience developing applications or services using Google's Gemini API or models
Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock
Experience in building and managing multi-step, reasoning-based Agentic AI systems
Prior experience in optimizing models for latency and cost efficiency in a production environment
Company
ExpertsHub.ai
At ExpertsHub.ai, we bridge the gap between businesses and top-tier AI experts.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase