Senior ML Solution Architect

Jobot; Kansas City (MO); Remote; USD 150,000 - 185,000; Full time

Benefits offered by this job

Competitive Base Salary

Company paid health plan

Flexible Hours

Generous PTO

Dental and Vision, FSA, HSA

Small team, autonomy

Job summary

A leading AI consulting firm is seeking a Senior Machine Learning Solution Architect to design and implement innovative ML solutions. In this fully remote role, you will collaborate with a small, dynamic team to develop scalable data initiatives. Candidates should have over 5 years of experience in ML solution design, proficiency in Python and Scala, and a strong background in data pipeline management. An attractive salary package and many perks await the right candidate.

Qualifications

• Minimum 5 years of experience in designing and implementing ML solutions.
• Strong programming skills in Python and Scala.
• Experience with data pipeline tools such as Spark and Snowflake.

Responsibilities

• Design and build robust and scalable ML solutions.
• Work closely with data scientists and engineers to implement ML solutions.
• Develop and maintain data pipelines for large scale data processing.

Skills

Python

Scala

Data pipeline management

ML algorithms

Communication skills

Problem-solving

Education

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field

Tools

Spark

Snowflake

Terraform

Docker

Job description

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Job details

Opportunity to join the industry’s top AI Consulting firm // Working with the world’s top brands to execute data initiatives in artificial intelligence // FULLY REMOTE

This Jobot Job is hosted by: Craig Rosecrans

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year

A bit about us

We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued.

Why join us

• 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!

Job Details

Responsibilities

• Design and build robust and scalable ML solutions to meet business requirements.
• Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production.
• Develop and maintain data pipelines for large scale data processing.
• Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation.
• Implement best practices for ML development, including testing, documentation, and version control.
• Collaborate with cross-functional teams to understand their needs and translate them into ML solutions.
• Provide consulting services to internal and external stakeholders on ML best practices and solutions.
• Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models.
• Implement and manage CI/CD pipelines for ML solutions.
• Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• Minimum 5 years of experience in designing and implementing ML solutions.
• Strong programming skills in Python and Scala.
• Experience with data pipeline tools such as Spark and Snowflake.
• Proven experience in consulting, with excellent communication and problem-solving skills.
• Experience with infrastructure management tools such as Terraform and Docker.
• Experience in setting up and managing CI/CD pipelines.
• Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations.
• Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Self-motivated and proactive, with the ability to work independently and as part of a team.
• Strong desire to learn and stay updated with the latest advancements in the field of ML.

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

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