ML Solution Architect

Base pay range: $150,000.00/yr - $250,000.00/yr 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. We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role offers a unique opportunity to contribute to a mission-driven team that is scaling toward a multi-million dollar objective. 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 consulting experience. 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, generous PTO, dental and vision, FSA, HSA, small team with autonomy, and other 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 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 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 uses best practices. Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree 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 machine learning solutions at scale on AWS. Solid software development experience with a focus on quality, performance, and scalability. Strong experience with data modeling, data access, and data storage techniques. Excellent communication skills with the ability to 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. AWS Certified Machine Learning or similar certification is a plus. Interested in hearing more? Easy Apply now by clicking the "Easy 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, 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. Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page. #J-18808-Ljbffr Jobot