About Us: Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The companys Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com Our opportunity: As our AI/ML Architect you will take the lead in developing machine learning solutions from inception to deployment at scale. Your expertise will be crucial in guiding our team to new heights, ensuring the adoption of industry best practices, and driving the successful implementation of… state-of-the-art machine learning solutions. As we embark on groundbreaking projects, we are seeking an experienced professional to spearhead the development of transformative machine learning solutions, steering them from conception to seamless deployment at scale. We’re not just building products; we’re shaping the future. We thrive on pushing boundaries and embracing cutting-edge solutions. Join a dynamic team of visionaries and spearhead groundbreaking initiatives at the forefront of innovation. Who youll report to: This role reports to the Director, Data Science Location: Remote role based in the United States. San Jose, CA Bay Area preferred. You will make an impact by being responsible for: Designing and architecting robust, scalable machine learning based solutions and models Owning ML project lifecycle from concept to production deployment Evolving existing machine learning architectures for optimal results Evaluating and adapting to new technologies and frameworks that can optimize the companys machine learning initiatives Mentoring the machine learning and data science teams in complex projects, ensuring a high degree of quality You will be a great fit if you have: Bachelors degree in Computer Science, Engineering, or a related technical discipline Masters or PhD in Computer Science, AI, or a related field a preferred 10+ years in Engineering, focusing on data used for Machine Learning. Experience with Generative AI a plus Strong proficiency in Python, SQL, and familiar with frameworks like TensorFlow or PyTorch Extensive background in building AI/ML solutions with natural language processing, computer vision, and multimodal models A proven track record of deploying scalable machine learning models in production environments Experience with MLOps and CI/CD pipelines Experience with various Databases: SQL, NoSQL (Postgres, Redis, Elasticsearch, etc.) Experience developing in container environments like Docker and Kubernetes Expertise in multi-cloud environments including AWS, Google Cloud Platform, and Microsoft Azure preferred You excel in these key competencies: Effective communication of complex technical concepts to non-technical stakeholders Proactive attitude towards staying updated with the latest advancements in machine learning Ability to adapt to evolving project requirements and dynamic technology landscapes Willingness to share knowledge and contribute to a positive team culture Strong organizational skills to manage multiple tasks and deadlines effectively Prioritizing tasks based on project goals and timelines Strong leadership and mentoring skills The base salary range for this position in California, New York, and Washington is $235,000 $265,000 and outside of those locations is $215,000 245,000 a year. The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits. Ready to Revolutionize Work? Join Us. This is an opportunity to work with a global, passionate team pioneering technology thats redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great. Job Segment OR Key Words: Machine Learning, Architect, ML Frameworks, Data Science, Project Management, Generative AI, Leadership #LI-JS1 #LI-REMOTE Benefits and perks youll appreciate: Flexible work schedule / remote roles Unlimited Personal Time Off 12 holidays off per year 4 days volunteer time off per year 4 company Achievement days off per year Variety of health care and well-being benefits Paid family/parental leave We are a designated Best Place to Work for 2 years in a row! Learn more here Newsweeks Top 100 Most Loved Workplaces in America 2023 Learn more here Automation Anywhere is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected]. All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee. Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The companys Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com
