Full Stack AI Engineer

3 weeks ago

Troy, United States Hearst Full time
Job Description

MOTOR Information Systems, an operating group of Hearst, is actively seeking a team of enthusiastic, creative, and driven technologists. People with a proven track record, who are willing to experiment with new ideas, invest time in them, fail-fast, and move on if they don't work out. We want team members who have shown a
consistent interest in continuous learning, especially in Generative AI, who are aware of, and follow the latest and best generative AI technologies and trends, can learn by themselves, are self-motivated and value self directed initiative with technology and AI exploration.

Summary
As an AI architect, you will be responsible for designing, developing, and deploying innovative AI solutions that address complex business problems and create value for our clients. You will work with a team of AI engineers, data scientists, and domain experts to deliver end-to-end AI projects, from ideation to production. You will also mentor and coach other AI Engineer and contribute to the development of best practices and standards for AI architecture.

Responsibilities
Design and implement scalable, robust, and secure AI solutions that meet the requirements and expectations of the clients
and stakeholders.
Apply advanced AI techniques, such as deep learning, natural language processing, computer vision, and reinforcement
learning, to solve challenging business problems and create value.
Integrate AI solutions with existing data sources, platforms, and systems, using appropriate tools and frameworks.
Optimize the performance, reliability, and usability of AI solutions, using testing, debugging, and monitoring tools and
methods.
Document and communicate the AI architecture, design, and implementation details, using diagrams, reports, and
presentations.
Collaborate with AI engineers, data scientists, domain experts, and other stakeholders, to ensure the alignment and quality
of the AI solutions.
Mentor and coach other AI engineers and share knowledge and best practices for AI architecture.
Research and evaluate new AI technologies, trends, and opportunities, and provide recommendations for improvement and
innovation.

Qualifications
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
At least 5 years of experience in designing, developing, and deploying AI solutions, using various AI techniques, tools, and
frameworks.
Strong knowledge and skills in AI, machine learning, deep learning, natural language processing, computer vision, and
reinforcement learning.
Proficient in programming languages, specifically Python, JavaScript/Typescript.
Built at least 1-2 generative AI projects in the last year using frameworks such as LangChain and LlamaIndex
Experience in using AI frameworks and platforms, such as PyTorch, Keras, Scikit-learn, or Azure AI.
Experience in working with cloud services, such as AWS, Google Cloud, or Microsoft Azure.
Experience in working with data sources, such as SQL, NoSQL, or Hadoop.
Experience in working with agile methodologies, such as Scrum or Kanban.
Excellent communication, presentation, and interpersonal skills.
Ability to work independently and collaboratively in a fast-paced and dynamic environment.
Certification in AI, machine learning, or related field is a plus.

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