ML Solution Architect

Overview

Opportunity to join the industry's top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future. The role focuses on developing and implementing machine learning models, designing data pipelines, and advising on ML best practices.

Base pay range: $/yr - $/yr

Salary details and application process discussed with recruiter. Easy Apply is available.

Position:
Machine Learning Solution Architect

Why join us? Competitive base salary, company-paid health plan for employees, flexible hours, generous PTO, dental and vision, FSA/HSA, small team with autonomy, and many more perks.

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 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 data is readily available for insight generation.
• Develop and maintain scalable data pipelines and build out new API integrations to support increasing data volume and complexity.
• Collaborate with cross-functional teams to understand business needs and proactively suggest/implement data-driven solutions.
• Provide thought leadership and consulting across the business, leading internal teams in ML techniques and practices.
• Stay up-to-date with industry trends and technologies to ensure the team uses best practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field. Master’s or PhD is a plus.
• Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
• Demonstrated experience with ML models, AWS, Python, Scala, data pipelines, Spark, Snowflake, and consulting.
• Proven experience designing and implementing ML solutions at scale on AWS.
• Solid software development experience with focus on quality, performance, and scalability.
• Strong data modeling, data access, and data storage techniques.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Strong problem-solving, attention to detail, and creativity; ability to work independently and in a team in a fast-paced environment.
• AWS Certified ML or similar certification is a plus.

Equal Opportunity Employer

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and ensures all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Note This posting may include information about background checks as required by law. Jobot will consider qualified candidates with criminal histories in a manner consistent with applicable laws.