Jobot
Overview
Opportunity to join the industry’s top AI consulting firm, building out both traditional machine learning and cutting-edge generative AI projects. 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 and Snowflake, with 6+ years of experience in a similar role.
Compensation Base pay range: $150,000.00/yr - $250,000.00/yr
About the role This Jobot Job is hosted by Craig Rosecrans. Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary range noted reflects potential earnings and is based on skills and experience. This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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 increasing 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 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 best techniques and tools.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a 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 machine learning solutions at scale on AWS.
Solid software development experience with a focus on quality, performance, and scalability.
Experience designing and implementing 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 abilities, attention to detail, and creative thinking.
Ability to work independently and as part of a team in a fast-paced environment.
Passion for learning and adapting to new technologies.
AWS Certified Machine Learning or similar certification is 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
Company & 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.
Background checks may be performed with your authorization where permitted by law.
Location: New Orleans, LA
New opportunities in the role of Solutions Architect and related positions are posted regularly.
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Compensation Base pay range: $150,000.00/yr - $250,000.00/yr
About the role This Jobot Job is hosted by Craig Rosecrans. Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary range noted reflects potential earnings and is based on skills and experience. This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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 increasing 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 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 best techniques and tools.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a 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 machine learning solutions at scale on AWS.
Solid software development experience with a focus on quality, performance, and scalability.
Experience designing and implementing 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 abilities, attention to detail, and creative thinking.
Ability to work independently and as part of a team in a fast-paced environment.
Passion for learning and adapting to new technologies.
AWS Certified Machine Learning or similar certification is 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
Company & 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.
Background checks may be performed with your authorization where permitted by law.
Location: New Orleans, LA
New opportunities in the role of Solutions Architect and related positions are posted regularly.
#J-18808-Ljbffr