Senior ML Solution Architect

Opportunity to join the industries top AI Consulting firm // Working with the world’s top brands to execute data initiatives in artificial intelligence // FULLY REMOTEThis Jobot Job is hosted by: Craig RosecransAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $150,000 - $185,000 per yearA 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 perksJob DetailsResponsibilities: 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 "Apply Now" button.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 (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.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.Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy