Senior ML Engineer

Machine Learning Engineer

What We Do: AI Service Management (AISM):

Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce.

Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.

The Role:

We are looking for a highly skilled and experienced ML Engineer 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 delivering results, we want to hear from you!

Responsibilities

• Develop and deploy state-of-the-art AI/ML models and solutions.
• Collaborate with cross-functional teams, including product managers, software engineers, and data engineers, to understand and follow project requirements, and task deliverables.
• Design and implement scalable and efficient AI/ML algorithms and models.
• Evaluate and select appropriate, state of the art AI/ML techniques, algorithms, and libraries to meet task requirements.
• Write code of high quality using solid engineering principles.
• Evaluate quality, performance, and accuracy of AI/ML models through rigorous testing and validation processes.
• Maintain detailed documentation of your task outcomes, including systems and algorithms.
• Develop and maintain a deep understanding of emerging technologies in AI/ML.

Required Skills:

• Minimum of 5 years of professional experience in AI/ML engineering
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Excellent knowledge on clustering and time-series algorithms.
• Good knowledge of machine learning concepts and libraries (e.g., Pandas, Scikit-Learn, Spacy, nltk).
• Solid understanding of data science principles and best practices, including data preprocessing, feature engineering, and model evaluation.
• Proficiency in Python development for AI/ML tasks.
• Excellent problem-solving and analytical skills.
• Communication and interpersonal skills, with the ability to communicate complex concepts to technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment.

Preferred Qualifications:

• Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Familiarity with agile development methodologies such as Scrum or Kanban.
• Proficiency in SQL with hands-on experience in working with relational databases.
• Proficiency in using Docker, Kubernetes, or similar containerization and orchestration tools.