AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Executive Assistant
Boosted.ai provides AI-driven investment management tools, helping investors save time, improve portfolio metrics, and make data-driven decisions.
Benefits:
Work from anywhere
Comprehensive health benefits
Competitive compensation
Flexible hours and time off
Experience Requirements:
2-3 years of experience as an Executive Assistant or a similar role, prior experience supporting C-suite executives in a fast-paced environment is a plus
Other Requirements:
Excellent written and verbal communication skills, with the ability to interact confidently with senior leadership and external stakeholders
Proficient with G-Suite, Slack, Zoom, and other remote collaboration tools; experience with project management software is a plus
Resourceful, with an ability to anticipate needs and resolve issues before they escalate
Experience handling sensitive information with the highest level of discretion and professionalism
Responsibilities:
Support Leadership: Be the right hand to the CEO and CRO, managing calendars, scheduling meetings, coordinating travel, compiling expense reports, and handling day-to-day communications
Project Coordination: Collaborate with cross-functional teams to track and drive key projects forward, ensuring timely completion of action items
Meeting Preparation: Prepare agendas, take detailed meeting notes, and follow up on action items to ensure seamless execution
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Software Engineer
Boosted.ai provides AI-driven investment management tools, helping investors save time, improve portfolio metrics, and make data-driven decisions.
Benefits:
Work from anywhere
Comprehensive health benefits
Competitive compensation
Flexible hours and time off
Education Requirements:
BA, BS, MS, PhD in Computer Science, Computer Engineering or related technology field
Experience Requirements:
2+ years programming experience in Python
Responsibilities:
Take ownership of the full development cycle
Partner with clients and other developers to design, build and roll out solutions that will optimize complex workflows
Understand and efficiently manipulate large datasets
Make quick, thoughtful decisions
Be a collaborative member of your team
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Solutions & Strategy Consultant
Boosted.ai provides AI-driven investment management tools, helping investors save time, improve portfolio metrics, and make data-driven decisions.
Benefits:
Work from anywhere
Comprehensive health benefits
Competitive compensation
Flexible hours and time off
Education Requirements:
Bachelor's degree in Finance, Economics, Business, Computer Science, or a related field; advanced degree (MBA or MS) preferred
Experience Requirements:
3+ years of experience in financial services, consulting, or a similar role, within fintech or AI/machine learning environments
Proven experience in client-facing roles involving finance or strategic consulting
Other Requirements:
Excellent verbal and written communication and presentation skills
Strong analytical and problem-solving skills with a strategic mindset
Self-motivated with excellent time management and organizational skills
Ability to build and maintain strong relationships with clients and internal teams
Responsibilities:
Develop Deep Expertise in Boosted.ai Solutions
Become an Expert on Boosted.ai Sales Process
Client Engagement and Consultation
Solution Implementation
Client Relationship Management
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Event Marketing Specialist (Remote, Canada)
AI-powered property and climate risk platform for the insurance industry, providing insights for better underwriting and pricing.
Benefits:
Health Coverage (Medical, Dental, Vision, One Medical Membership)
Equity (Stock Options)
401k (Mass Mutual)
FSA
Vacation Policy (Flexible Time Off) Life Insurance (Long-Term Disability and Life Insurance) Team Outings & Trips (Quarterly and Annual) Workplace Perfection (Ergonomics Budget) Monthly Team Lunches
Experience Requirements:
2+ years in event planning, field marketing, or a similar role, preferably in B2B SaaS or technology sectors.
Proven success managing end-to-end event logistics and achieving measurable outcomes.
Demonstrated creative ability to elevate brand presence through strategic event execution
Responsibilities:
Plan and execute national and regional events (tradeshows, roadshows, customer dinners)
Coordinate speaking engagements
Oversee event logistics (booth setup, sponsorships, AV coordination)
Collaborate with cross-functional teams
Develop and manage customer engagement programs (roundtables, fireside chats, personalized experiences) Manage ZestyAI’s merchandise program Develop multi-channel promotional campaigns (email, social, landing pages) Define success metrics for all events and analyze performance data Support planning and execution of webinars and virtual events
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Marketing Operations Manager (Remote, Canada)
AI-powered property and climate risk platform for the insurance industry, providing insights for better underwriting and pricing.
Benefits:
Health Coverage (Medical, Dental, Vision, One Medical Membership)
Equity (Stock Options)
401k (Mass Mutual)
FSA
Vacation Policy (Flexible Time Off) Life Insurance (Long-Term Disability and Life Insurance) Team Outings & Trips (Quarterly and Annual) Workplace Perfection (Ergonomics Budget) Monthly Team Lunches
Experience Requirements:
3+ years in a marketing operations role, preferably in a B2B SaaS or technology company
Hands-on experience managing Salesforce and marketing automation platforms (ActiveCampaign, Mailchimp, Outreach)
Experience building and executing account-based marketing strategies
Responsibilities:
Lead and optimize ZestyAI’s marketing technology stack
Design and implement an ABM infrastructure
Establish and enforce governance policies for data quality
Manage and optimize marketing automation systems
Oversee the health and accuracy of the marketing database Develop and manage segmentation strategies Partner with marketing, sales, and product teams to build and execute campaigns Create and maintain lead scoring models Implement and manage attribution methodologies Own the creation of dashboards and reporting Provide actionable insights and recommendations based on data analysis Partner with sales, revenue operations, and customer success teams Train cross-functional teams on marketing automation tools
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Senior Software Engineer (Trajectory Planning)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Hybrid working arrangements
Life Insurance
AD&D Insurance
Long Term Disability Insurance
Education Requirements:
PhD in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 2+ years of professional experience is desired
MS in related field (Mech Eng, Aerospace, Comp Science, Robotics, Mechatronics) with 4+ years of professional experience is acceptable
Experience Requirements:
Extensive hands-on experience of optimisation-based trajectory planning
Experience with sampling-based trajectory planning approaches
Experience with trajectory planning problem formulation and problem transcription
Modern C++ algorithm development and deployment, ideally in a production environment (including STL and common testing frameworks)
Responsibilities:
Collaborate with your Team Lead and team members to solve Spatio-Temporal motion planning problems, including off-the-shelf solver evaluation and custom solver implementation.
Collaborate with the Decision Making team to transcribe nuanced manoeuvres in complex on- and off-road environments into generalised Trajectory Planning problems.
Collaborate with the Controls team to ensure Smooth, Comfortable, Precise manoeuvre execution for on- and off-road applications.
Contribute to the development of high quality functionality and APIs that allow the Planner functionality to be used as a building block for on-vehicle capabilities.
Create appropriate metrics and tools to measure and benchmark the performance of Planners deployed on various AV platforms.
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Senior Robotics Software Engineer (Integration & Validation)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Hybrid working arrangements
Life Insurance
AD&D Insurance
Long Term Disability Insurance
Education Requirements:
Degree in Robotics or a related field (e.g., Computer Science, Engineering, Physics, etc.)
Experience Requirements:
Solid foundational knowledge of Robotics technologies and how they operate
Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes
Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics.
Professional experience in modern C++, including the STL and common testing frameworks
Fluency in Python for software development
Responsibilities:
Developing and maintaining high quality processes and APIs to generate performance signals and combine them to create meaningful performance metrics
Building and owning the necessary tools and the Planning evaluation framework
Contributing significantly to the engineering lifecycle, including scoping, design, implementation, testing, deployment and maintenance of your team's work
Verifying and validating through on-road testing and scenario simulation
Leveraging synthetic data from simulations to expand test situations
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Senior Data Engineer (Reasoning ML)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Hybrid working arrangements
Life Insurance
AD&D Insurance
Long Term Disability Insurance
Education Requirements:
Degree in Computer Science, Mathematics or a related field.
3+ years of professional experience developing behavioural machine learning technologies for autonomous vehicles or robotics.
Experience with production ML pipelines: data creation and curation, training frameworks, evaluation pipelines.
Fluency in Python and experience with data analysis libraries and packages.
Proven record of leading and delivering projects as part of a team.
Responsibilities:
Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models.
Design and implement metrics for model validation and continuous monitoring in production.
Leverage the Oxa Metadriver™ platform to generate synthetic data, and train effective and robust driving policies,
Build cloud tooling and infrastructure in support of experimentation, evaluation and deployment workflows.
Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.
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Data Scientist (Operational Domain Intelligence)
Oxa develops self-driving software and services for businesses, focusing on safety, efficiency, and AI-powered solutions for autonomous transportation.
Benefits:
Competitive salary, benchmarked against the market and reviewed annually
Company share programme
Hybrid and/or flexible work arrangements
Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts)
A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work benefits
Education Requirements:
Experience with Machine Learning in a research environment.
Demonstrate proficiency in Python software development skills
Experience with computer vision and robotics. More specifically object detection, tracking and localization.
Solid software engineering design principles and up-to-date knowledge of Python best practices
An ability to understand both technical and commercial requirements.
Responsibilities:
Researching and developing state of the art pipelines for: analysing deployment domains, route feasibility checks, domain clustering and classification, representation learning and data coverage analysis.
Researching and developing state of the art techniques and processes for assuring pre- and post-deployment data coverage across the company.
Responsible for data interpretation, data governance, communicating findings from the validation, and creating dashboards for metrics management.
Keeping up with the latest advances in computer vision and tracking research and applying relevant techniques to Oxa MetaDriver
Contributing to the development tools and processes to support a common testing framework across the company, acquisition of data, ML frameworks and commercial operations
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Enablement Manager (GTM)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
3-5 years of experience in an Enablement role in a B2B SaaS company
Prior start-up experience, building an Enablement program from ground-up preferred
Knowledge of automation, process transformation, or AI-related domains a strong asset
Strong understanding of sales processes and methodologies
Strong analytical skills with the ability to interpret customer data, identify trends, and extract actionable insights
Other Requirements:
The ability to thrive in a fast-paced, dynamic environment
Excellent communication skills to connect with all layers within the organization
Extreme ownership
Responsibilities:
Empower Wisedocs' Go-To-Market teams to achieve exceptional results by providing them with the knowledge, resources, and tools they need to win.
Develop & Deliver: Develop and implement a comprehensive sales enablement strategy aligned with business goals
Create and curate high-impact sales content (e.g., decks, battle cards, demos), and design/deliver engaging training programs for GTM teams (sales, marketing, customer success).
Analyze & Optimize: Track key GTM metrics, analyze performance, identify areas for improvement, and report on the impact of enablement initiatives.
Collaborate: Partner with cross-functional teams (marketing, product, sales, customer success) to ensure alignment on messaging, product launches, and GTM strategies.
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Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Machine Learning Engineer
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
A hybrid work model
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Experience Requirements:
Have a minimum of 3 years of experience in software development, with a strong focus on Python programming.
Possess professional working experience with LLMs, RAG, transformers, BERT.
Having demonstrated a solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code.
Should be familiar with recent model developments and frameworks, i.e. LlaMa, Mistral, GLINER, TGI, etc.
Proven Machine Learning industry experience, preferably at scale.
Other Requirements:
Prior professional experience with LlamaIndex is preferred.
Prior experience with transfer learning and model modifications.
Excellent problem-solving skills, while exhibiting high enthusiasm to tackle complex challenges in AI/ML development and deployment.
Are enthusiastic about working in a fast-paced, innovative environment, contributing to a team that aims to make a significant impact in the medical and insurance tech space.
Possess good understanding on leveraging Azure's AI and machine learning services to deploy, monitor, and maintain ML models, ensuring high availability and performance.
Responsibilities:
Drive the rebuild and re-architecture of our entity classification system to have higher throughput, reliability and observability
Design with best practices in mind for growing and evolving company
Collaborate with other senior engineers to integrate the ML system into the broader Wisedocs platform.
Designing and implementing machine learning models to analyse and interpret large datasets of medical and insurance documents, enhancing our platform's decision-making and efficiency.
Developing robust, scalable backend services in Python, ensuring seamless integration with our AI/ML components and front-end systems.
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Sales Enablement Manager
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
3-5 years of experience in an Enablement role in a B2B SaaS company
Prior start-up experience, building an Enablement program from ground-up preferred
Knowledge of automation, process transformation, or AI-related domains a strong asset
Strong understanding of sales processes and methodologies
Strong analytical skills with the ability to interpret customer data, identify trends, and extract actionable insights
Other Requirements:
The ability to thrive in a fast-paced, dynamic environment
Excellent communication skills to connect with all layers within the organization
Extreme ownership
Responsibilities:
Empower Wisedocs' Go-To-Market teams to achieve exceptional results by providing them with the knowledge, resources, and tools they need to win.
Develop & Deliver: Develop and implement a comprehensive sales enablement strategy aligned with business goals
Create and curate high-impact sales content (e.g., decks, battle cards, demos), and design/deliver engaging training programs for GTM teams (sales, marketing, customer success).
Analyze & Optimize: Track key GTM metrics, analyze performance, identify areas for improvement, and report on the impact of enablement initiatives.
Collaborate: Partner with cross-functional teams (marketing, product, sales, customer success) to ensure alignment on messaging, product launches, and GTM strategies.
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Senior Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Senior Enterprise Account Executive (Canada or US)
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Company events
Experience Requirements:
5+ years experience in an Enterprise Sales Role
You understand MEDDICC or another best in class sales methodology that you carry through with you
You are extremely competent and confident in your abilities
You are hitting quota.
Previous experience in the Insurance or Legal industries
Other Requirements:
Experience or understanding of Sales Tools including Hubspot
Comfortable attending events and travelling nationally
Very personable and comfortable striking up a conversation (including cold calling), and building relationships
Responsibilities:
Running a full lifecycle of an opportunity, from sourcing all the way through to close.
Running discovery call, demos, and negotiation calls.
Building a pipeline of opportunities and researching, engaging and qualifying prospective customers through calling, emailing, networking, social media and in person
Collaborate closely with our Customer Success organization to ensure a smooth hand off from sales to onboarding for our clients
Work cross functionally with teams including product and operations to provide consistent client and market feedback to the organization.
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Sr Back-end Developer
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
A hybrid model requiring on-site presence at least twice/week
Modern employee benefits, including health and dental coverage 100% company paid
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Experience Requirements:
A minimum of 5 years of experience as a Back-End Developer with extensive experience in Python, showcasing a deep understanding of the language
Proficiency in using Python frameworks such as Django or Flask
Experience with database systems like SQL or NoSQL
Strong familiarity with cloud platforms like AWS, Google Cloud, or Azure
An understanding of automation practices throughout the Agile development, build, and deployment phases of the application lifecycle
Other Requirements:
A robust problem-solving mindset; comfortable navigating frequently changing work items and scopes, and capable of managing multiple tasks efficiently
Responsibilities:
Designing, building, and maintaining efficient, reusable, and reliable Python code that powers our back-end systems and ML pipeline
Identifying and resolving performance and scalability issues, helping to improve the robustness of our system
Handling complex data structures and algorithms, ensuring the seamless processing of data in our system
Taking on additional responsibilities as needed, demonstrating flexibility and adaptability in a dynamic working environment
Creating comprehensive technical documentation for system components and architecture, thereby providing clarity on architectural decisions and engineering contributions across the team
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Sr Front-end Developer
Wisedocs uses AI to process medical records faster and more accurately for insurance, legal, and medical firms.
Benefits:
A hybrid model requiring on-site presence at least twice/week
Modern employee benefits, including health and dental coverage 100% company paid
Competitive compensation, with valuable stock options
An opportunity to develop very rapidly in your career.
Access to a learning and professional development fund
Experience Requirements:
Must be proficient with Vue.js
A minimum of 3 years of experience as a Front-End Developer, with a strong understanding of user interface design and development
Proficiency in front-end languages and libraries like HTML, CSS, JavaScript, and React.js
Experience with database systems, such as SQL or NoSQL.
Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
Other Requirements:
Understanding of modern front-end build pipelines and tools, including CSS pre-processors like SASS or LESS.
Ability to work in an Agile environment, with an understanding of automation practices throughout the development, build, and deployment phases of the application lifecycle.
A flexible and proficient engineering mindset; comfortable navigating frequently changing work items and scopes, and capable of managing multiple simultaneous tasks efficiently.
Responsibilities:
Designing and implementing key front-end features for our automation platform and advanced machine learning engine.
Leading the creation of customer-centric features in response to growing client demand, tactfully enhancing our core product with additional benefits.
Drafting comprehensive documentation (Confluence) for system components and architecture, rationalizing architectural decisions and clarifying engineering contributions across the team.
Crafting front-end components with an emphasis on usability, performance, and adherence to best coding practices.
Adapting to dynamic workload by taking on additional responsibilities as needed, showcasing flexibility and adaptability.
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Machine Learning Engineering Manager
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Education Requirements:
Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred
Experience Requirements:
2 years of experience in a people management role with direct reports, excluding tech lead positions
Other Requirements:
Strong proficiency with the latest Large Language Model (LLM) technologies
High proficiency in a procedural programming language (e.g. Python)
Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders
Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members
Previous experience in the legal or healthcare technology fields is a plus, but not required
Responsibilities:
Develop and implement career progression frameworks to guide the growth of your direct reports
Provide mentorship, coaching, and resources to support the technical and career development of team members
Foster a culture of continuous learning and professional growth within the organization
Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad
Coordinate with cross-functional partners to align on product priorities and roadmap objectives
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Staff Machine Learning Engineer
EvenUp uses AI to help personal injury lawyers create demand letters, manage medical chronologies, and improve case outcomes.
Benefits:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Education Requirements:
PhD in Machine Learning, Computer Science, or other quantitive field
Experience Requirements:
10+ years of experience in machine learning with multiple models deployed in operational settings
Other Requirements:
Strong proficiency with the latest Large Language Model (LLM) technologies
Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization
Strong communication, collaboration, and coaching skills
High proficiency in a procedural programming language (e.g. Python)
Ability to translate and apply cutting edge research into practical solutions
Strong leadership and mentorship abilities, with a passion for guiding and developing other team members
Responsibilities:
Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly
Build and deploy models in production that tangibly impact the lives of our customers
Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance
Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems
Act as a strategic advisor for leaders across the organization on driving business impact through machine learning
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