Director, AI/ML

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto-remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction.

Aisera has received numerous recognitions, including the following: FastCompany Best Workplaces for Innovators; Inc 5000 Award for Fastest Growth; Forbes AI50; EY Entrepreneur of the Year 2023; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; and Silicon Review 50 Most Admired Companies.

Our seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other.

Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.

The Role:

We are looking for a highly skilled and experienced AI/ML Leader to join our team and drive our AI and ML initiatives to new heights. If you are passionate about AI/ML and have a proven track record in leading teams to success, we want to hear from you!

This role is based out of our Palo Alto, CA office, and an Onsite interview is required as part of the process.

Responsibilities:

• Lead a team of AI/ML engineers and data scientists to design, develop, and deploy state-of-the-art AI/ML models and solutions.
• Serve as the technical expert on AI/ML initiatives and provide guidance and direction to the team.
• Collaborate with cross-functional teams, including product managers, software engineers, and data engineers, to define project requirements, scope, and deliverables.
• Develop and maintain a deep understanding of industry trends, best practices, and emerging technologies in AI/ML.
• Design and implement scalable and efficient AI/ML algorithms, tools, and pipelines.
• Evaluate and select appropriate AI/ML techniques, frameworks, and libraries to meet project requirements.
• Ensure the quality, performance, and accuracy of AI/ML models through rigorous testing and validation processes.
• Maintain detailed documentation of AI/ML processes, methodologies, and results.
• Provide mentorship and guidance to junior team members and contribute to their professional growth.
• Present AI/ML findings and insights to stakeholders and senior management, as needed.

Basic Qualifications:

• Minimum of 7 years of experience in AI/ML, with at least 3 years in a leadership role.
• Strong knowledge of AI/ML algorithms, techniques, and frameworks, such as TensorFlow, PyTorch, or scikit-learn.
• Experience with GenAI and LLM models will be ideal.
• Solid understanding of data science principles and best practices, including data preprocessing, feature engineering, and model evaluation.
• Proficiency in programming languages, such as Python, R, or Java.
• Experience with (any one) big data technologies, such as Hadoop, Kafka, Spark, or NoSQL databases.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to communicate complex concepts to both technical and non-technical stakeholders.
• Proven track record of leading and managing high-performing AI/ML teams.
• Demonstrated ability to work effectively in a fast-paced, collaborative environment.
• Master's degree in Computer Science, Engineering, Data Science, or a related field; PHD preferred

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

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