Full-Time

Technical Lead AI/ML

Confirmed live in the last 24 hours

Aisera

Aisera

201-500 employees

Develops AI chatbots for IT operations

Enterprise Software
AI & Machine Learning

Senior

Palo Alto, CA, USA

This role is based out of our Palo Alto, CA office.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Python
NoSQL
Data Science
Tensorflow
R
Pytorch
Apache Spark
Apache Kafka
Java
Hadoop
Requirements
  • 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.
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.

Aisera develops chatbots and AI solutions specifically for IT operations, focusing on process-centric AI (AIOps). Their chatbots simulate human-like conversations, allowing clients to access self-service options that help reduce service desk costs. Aisera primarily serves organizations that want customizable virtual agents to modernize their IT operations and minimize unplanned outages. Their products can be quickly deployed, giving them an advantage in the fast-growing AI and ML market. Aisera's revenue comes from selling these AI solutions, which improve customer experience by providing personalized interactions and reducing wait times. Additionally, Aisera allows businesses to create their own bot experiences, enabling them to operationalize their generative AI applications or deploy chatbots trained on their specific data in a short timeframe.

Company Stage

Series D

Total Funding

$212.5M

Headquarters

Palo Alto, California

Founded

2017

Growth & Insights
Headcount

6 month growth

3%

1 year growth

7%

2 year growth

42%
Simplify Jobs

Simplify's Take

What believers are saying

  • Aisera's solutions can significantly cut costs by deflecting tickets and reducing wait times, enhancing operational efficiency.
  • The ability for clients to build their own bot experience offers flexibility and customization, making Aisera's platform highly adaptable to specific business needs.
  • The growing adoption of AI and ML technologies in various sectors presents a substantial market opportunity for Aisera's specialized solutions.

What critics are saying

  • The competitive landscape in AI and ML is intense, with major players like OpenAI and Google potentially overshadowing Aisera.
  • Concerns around data privacy, ethics, and regulatory compliance in AI could pose challenges for Aisera's deployment in sensitive industries.

What makes Aisera unique

  • Aisera specializes in customizable, out-of-the-box virtual agents for IT operations, setting it apart from competitors focused on broader applications.
  • Their rapid deployment model offers a significant time-to-market advantage, allowing businesses to operationalize AI solutions in weeks rather than months.
  • Aisera's focus on reducing service desk costs and minimizing unplanned outages provides a clear ROI for clients, unlike generic AI solutions.

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