Machine Learning Principal Architect

2 days ago

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Smarsh

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Smarsh enables organizations to manage the risk and uncover the value within their communications data.

cloud-based solutions • data-leak prevention • risk-based surveillance • information governance solutions • digital communications compliance

1001 - 5000

💰 Private Equity Round on 2016-01

Description

• Lead the design, development, and deployment of innovative machine learning solutions. • Drive strategic ML initiatives and shape overall architecture. • Ensure machine learning models and systems are scalable, reliable, and optimized for performance. • Oversee the end-to-end process of testing, deploying, and monitoring ML models. • Collaborate with cross-functional teams to deliver ML solutions that drive business value. • Ensure compliance with industry standards, regulations, and ethical guidelines.

Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. • 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. • 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 • 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. • 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.

Benefits

• We value our people and offer a competitive salary along with company bonus • Strong maternity and paternity scheme • A workplace pension scheme • Take what you need holiday package • Private medical insurance • Dental plan • Group life assurance • Group income protection • Employee assistance programme • A monthly wellness allowance • Adoption assistance • Stock options