ATI is hiring an Innovation / AI Engineer : This position 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 fieldExperience with machine learning, deep learning, NLP, and computer visionProficiency in coding languages and software programming (Python, Java, R, C++, etc)Strong knowledge of AI frameworks such as TensorFlow or PyTorchTwo or more years of experience in applying AI to practical and comprehensive technology solutionsExcellent problem-solving skills and ability to work in a team environmentStrong analytical and problem-solving skillsTeamwork, communication and collaboration skillsExperience in program leadership, governance, and change enablementSelf-motivationAttention to detail and concentrationPreferred skills and qualifications :
Experience with innovation acceleratorsExperience with cloud environmentsMLOps 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 LLMSolution 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.#Advantagetech