ML Solution Architect
Jobot
Austin, United States of America
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 250KJob location
Austin, United States of America
Tech stack
Training Data
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Data Security
Python
Machine Learning
Scala
Software Engineering
Data Storage Technologies
Feature Engineering
Snowflake
Spark
Information Technology
Data Pipelines
Api Management
Job description
Join the industry's top AI Consulting firm, building both traditional machine learning and cutting-edge generative AI projects. Salary: $150,000 - $250,000 per year. About the Role
We are seeking a dynamic and innovative Machine Learning Solution Architect to join a passionate, mission-driven team building a $100?million company with plans to quadruple in scale. Responsibilities
- Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
- Ensure the robustness, scalability, and enterprise-level security of solutions.
- Collaborate with the data science team to transform prototypes into new products, services, and features.
- Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation.
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Collaborate with cross-functional teams to understand their business needs and proactively suggest/implement solutions to leverage technology and data.
- Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices.
- Stay up-to-date with the latest industry trends and technologies to ensure the team is utilizing the best techniques and tools.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or PhD will be a plus.
- Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
- Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting.
- Proven experience in designing and implementing machine learning solutions at scale on AWS.
- Solid experience in software development with a focus on quality, performance, and scalability.
- Proven ability to design and implement robust data pipelines.
- Strong experience with data modeling, data access, and data storage techniques.
- Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills, attention to detail, and ability to think creatively.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Strong passion for learning and adapting to new technologies.
- AWS Certified Machine Learning or similar certification will be a plus.
Benefits & conditions
- Competitive Base Salary
- Company-paid health plan for employees
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
About the company
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories.