ML Solution Architect

Overview

Opportunity to join a leading AI consulting firm as a Machine Learning Solution Architect. The role focuses on developing and implementing machine learning models, building data pipelines, and delivering scalable solutions using AWS, Python, Scala, Spark, and Snowflake. The candidate should have a minimum of 6 years of experience in a similar role and experience consulting.

• 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 API integrations to support increasing data volume and complexity.
• Collaborate with cross-functional teams to understand business needs and proactively suggest and implement solutions to leverage technology and data.
• Provide thought leadership and consulting services across the business, leading internal teams in applying ML techniques and practices.
• Stay up-to-date with industry trends and technologies to ensure the team uses the best techniques and tools.

• 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 in a 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.
• Proven ability to design and implement robust data pipelines and data modeling techniques.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills, attention to detail, and creative thinking.
• Ability to work independently and in a fast-paced, dynamic environment.
• Strong willingness to learn and adapt to new technologies.
• AWS Certified Machine Learning or similar certification is a plus.

• Competitive base salary
• Company-paid health plan for employees
• Flexible hours
• Generous PTO
• Dental and Vision, FSA, HSA
• Small team with autonomy
• Other perks

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, disability, military status, genetic information or any other basis protected by applicable laws.

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