About this opportunity
Jobot lists this ML Solution Architect opportunity in columbia, South Carolina. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
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.
Base pay range
$150,000.00/yr - $250,000.00/yr
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 models, 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.
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!
About Jobot / Equal Opportunity
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.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
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Worksite address
columbia, SC, 29228, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.