Machine Learning Principal Architect
Job Summary
Job Description
14 skills required
Job Details
Who are we?
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.
Summary
We are seeking a highly skilled and experienced Machine Learning Principal Architect to lead the design, development, and deployment of innovative machine learning solutions across our organization. This role will focus on driving strategic ML initiatives, shaping the overall architecture, and ensuring that the machine learning models and systems are scalable, reliable, and optimized for performance.
The ideal candidate will have a deep understanding of advanced machine learning techniques, experience in deploying ML models in production, and a strong track record of leading ML projects from concept to deployment.
How will you contribute?
- Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- Experience
- Experience in machine learning, data science, or related fields.
- Proven experience in leading the development and deployment of large-scale ML systems.
- Strong background in statistical modeling, data mining, and machine learning algorithms.
- Technical Skills
- Proficiency in programming languages such as Python and Java/Kotlin.
- Extensive experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in a cloud environment.
- Strong understanding of data pipelines, ETL processes, and big data technologies
- Soft Skills
- Excellent problem-solving and analytical skills.
- Strong leadership and team management capabilities.
- Exceptional communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment.
- Preferred Qualifications
- Experience with deep learning, natural language processing (NLP), GenAI
- Familiarity with MLOps practices and tools.
- Contributions to open-source ML projects or publications in reputable journals.
What will you bring?
- Architectural Leadership
- Lead the design and development of scalable, high-performance machine learning architectures that align with business goals.
- Define and implement best practices for ML model development, deployment, and maintenance.
- Ensure that ML systems are robust, scalable, and secure.
- Technical Strategy
- Drive the strategic vision for machine learning within the organization.
- Collaborate with stakeholders to understand business needs and translate them into ML solutions.
- Stay updated on the latest ML technologies and frameworks to ensure the company remains at the forefront of innovation.
- Model Development & Deployment
- Oversee the end-to-end process of testing, deploying, and monitoring ML models.
- Work closely with data scientists, data engineers, and software engineers to integrate ML models into production systems.
- Ensure models are optimized for performance, scalability, and cost-efficiency.
- Team Leadership & Mentorship
- Lead and mentor a team of machine learning engineers and data scientists.
- Foster a culture of continuous learning and innovation within the ML team.
- Provide technical guidance and support to team members on complex ML challenges.
- Collaboration & Communication
- Collaborate with cross-functional teams, including product managers, data engineers, and business analysts, to deliver ML solutions that drive business value.
- Communicate technical concepts and the value of ML solutions to non-technical stakeholders.
- Compliance & Ethical Standards
- Ensure that all ML models and processes comply with industry standards, regulations, and ethical guidelines.
- Promote the responsible use of AI and machine learning within the organization.
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions.
About our culture
Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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