ML Solution Architect

Jobot; Columbia Township (MO); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Competitive Base Salary

Company-paid health plan for employees

Flexible Hours

Very generous PTO

Dental and Vision, FSA, HSA

Small team, autonomy

Job summary

A leading AI consulting firm is seeking a Machine Learning Solution Architect to develop and implement advanced ML models, leveraging AWS and Python. The role offers a competitive salary range of $150,000 - $250,000 and various benefits including health plans, flexible hours, and generous PTO. Join a small, dynamic team and contribute to innovative AI projects.

Qualifications

• Minimum of 6 years of experience as a Machine Learning Engineer or similar role.
• Proven experience designing and implementing machine learning solutions at scale on AWS.
• Strong software development experience focusing on quality, performance, and scalability.

Responsibilities

• Design, develop, and implement end-to-end cloud-based machine learning production pipelines.
• Collaborate with the data science team to transform prototypes into new products.
• Provide thought leadership and consulting across the business.

Skills

Machine Learning

AWS

Python

Scala

Data Pipelines

Spark

Snowflake

Consulting

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD

Job description

Overview

We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role offers the opportunity to work on traditional machine learning and cutting-edge generative AI projects within a leading AI consulting environment. The successful candidate will be responsible for developing and implementing machine learning models, leveraging AWS, Python, Scala, and related technologies to design and develop data pipelines.

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 technology and data solutions.
• Provide thought leadership and consulting 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, AWS, Python, Scala, data pipelines, Spark, Snowflake, and consulting.
• Proven experience designing and implementing machine learning solutions at scale on AWS.
• Strong software development experience with focus on quality, performance, and scalability.
• Proven ability to design and implement robust data pipelines.
• Strong data modeling, data access, and data storage skills.
• Excellent communication skills 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 in a team in a fast-paced environment.
• AWS Certified Machine Learning or similar certification is a plus.

Compensation

Base pay range: $150,000.00/yr - $250,000.00/yr

About the Role

Opportunity to join the industry’s top AI consulting firm, building out both traditional machine learning and cutting-edge generative AI projects. This Jobot Job is hosted by Craig Rosecrans. Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Benefits

• 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

Legal and Notice

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. Background checks may be conducted where permitted by law.