ML Solution Architect

$150k - $250k

Jobot

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future!
This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary: $150,000 - $250,000 per year
A bit about us:
We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role.
Why join us?
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!
Job Details
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.
Qualifications:
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.
Interested in hearing more? Easy Apply now by clicking the "Apply" button.
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. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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