Drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements. Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements.

Work with technology companies to identify improvements of existing technology, organizations, processes, and tools used to develop software products and services. Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments. Design and implement solutions from scratch.

Oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. Demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.

As a Principal AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems.

Kalepa is seeking a Machine Learning Engineer with 3+ years of experience to lead the framing, development, and deployment at the scale of machine learning models. As a Machine Learning Engineer, you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses. You will be turning vast amounts of structured and unstructured data from many sources into novel insights about behavior and risk.

Play a crucial role in applying AI models that can generate content leverage existing data to understand user behavior and preferences to provide insights to product development, identifying opportunities to use GenAI to address business challenges and performing large language models (LLMs) fine-tuning.

The Data Scientist will analyze labor market trends, workforce dynamics, and economic patterns, involving cleaning, organizing, and interpreting large-scale datasets to develop innovative models and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking and apply core machine learning methodologies. This position requires a collaborative mindset to work cross-functionally.

Drive the design, development, and deployment of advanced AI models, focusing on areas like LLM fine-tuning, multimodal AI, NLP/NLU-based models, AI governance frameworks, and scalability & ML Ops; collaborate with engineering, product, and business teams to integrate AI innovations into Netomi’s offerings.

As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions, collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products, applying AI/ML expertise to solve meaningful challenges in federal programs, especially in healthcare and veteran's services.