AI Engineer

About Convene Inc.

Convene, Inc. is a Tampa based, award-winning technology services organization with offices and resources throughout the US, Mexico, and India. We have successful, referenceable customers, competitive benefits, and high-growth opportunities.

Innovation/AI Engineer:
Involves designing, developing, and implementing AI systems, focusing on building and training machine learning models using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help improve various business outcomes and drive innovation.
Requires strong skills in areas like data analysis, machine learning, and programming, with a focus on translating business needs into AI-powered solutions. Help shape our AI strategy and showcasing the potential for AI through early-stage solutions.

Duties and Responsibilities:
" Advise executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
" Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures.
" Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
" Evaluating machine learning processes
" Design and develop AI models and algorithms from scratch (Test, deploy, and maintain AI systems)
" Collaborating with other team members to establish goals for AI processes
" Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction
" Collaborate with data scientists and other engineers to integrate AI into broader system architectures
" Evaluating the effectiveness of AI
" Manage the data flow and infrastructure for effective AI deployment
" Stay current with AI trends and suggest improvements to existing systems and workflows (conducting assessments of the AI and automation market and competitor landscape).
" Collecting and analyzing large amounts of data
" Programming AI software to utilize large amounts of data
" General Innovation ideation and POCs

Requirements and skills:
" Degree in Computer Science, Engineering, or related field
" Experience with machine learning, deep learning, NLP, and computer vision
" Proficiency in coding languages and software programming (Python, Java, R, C++, etc)
" Strong knowledge of AI frameworks such as TensorFlow or PyTorch
" Two or more years of experience in applying AI to practical and comprehensive technology solutions
" Excellent problem-solving skills and ability to work in a team environment
" Strong analytical and problem-solving skills
" Teamwork, communication and collaboration skills
" Experience in program leadership, governance, and change enablement
" Self-motivation
" Attention to detail and concentration

Preferred skills and qualifications
" Experience with innovation accelerators
" Experience with cloud environments
" MLOps tools: Experience using tools for lifecycle management of machine learning models.
" Docker: Experience in using Docker to create reproducible and scalable environments.
" Machine Learning Models: Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
" LLM Implementation: Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models. Using GPTs, Llama, or any other LLM
" Solution Architecture Validation: Ability to perform solution architecture validations for LLMs.
" GenAIOps: Experience in putting Generative AI (GENAI) models into production and providing support to them.
" Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns.
" Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.