Machine Learning Architect

Key Skills

Aartificial intelligence, Analytical and Problem solving, Data science techniques, DevOps, Effective communication skills, ETL frameworks, IT Security, Large Language Models - LLMs, Machine learning techniques

Job Description

We're looking for a Machine Learning Architect to help us embed Generative AI into our ecosystem of products to enable Fortune 500 companies to secure their infrastructure against evolving threats at a velocity that is faster than humanly possible.

In this role, you will act as the technical leader in the transition to GenAI. You will research and advise on best technologies/tools to use and best practices while implementing GenAI in our products. You will mentor a team of developers and QA Engineer and teach them all they need to know about AI. So, if you're a technology leader, with experience in Generative AI, a data science background, a high level of learning agility, and a clear desire to make their mark on the IT industry – we’d love to meet you.

In this role, you will:

• Lead the architectural principles and design of the team’s Generative AI components.
• Act as the Generative AI expert, while leading the team in developing data-related strategies, frameworks, and toolsets
• Research and recommend technologies and best practices for GenAI, providing strategic recommendations to C-level leadership on AI initiatives
• Stay up-to-date with the latest advancements in AI frameworks, ensuring the incorporation of best practices and emerging trends into projects
• Act as the Generative AI technology mentor for the team; actively developing and growing the skills of your colleagues through daily activities as well as planned development efforts.
• Enable the sale and adoption of our products by working with the sales team to clearly communicate the technical aspects of our products.
• Work with product management to help them understand the capabilities available to them via Generative AI technologies and jointly innovate on new ways to help customers.

Requirements:

• 7+ years of experience as a Machine Learning Engineer / Data Scientist in a large datasets environment
• 2+ years of experience in architecture, design and technical leadership
• Experience in programming languages such as Clojure, Scala and Python.
• Experience in Generative AI and/or Large Language Model
• Extensive experience with data manipulation libraries, deep learning, machine learning frameworks and data modelling (e.g., scikit-learn, TensorFlow, PyTorch).
• Clear understanding of graphs and graph theory problems
• High scale stream processing experience: ETL frameworks, Kafka based development, etc.
• Experience with advanced statistical techniques, hypothesis testing, and experimentation.
• Bachelor's degree in a related field
• Excellent problem-solving skills and the ability to translate business questions into architectural solutions.
• Strong communication skills and interpersonal skills.

Nice to Have:

• Experience with Agile development and related project tracking tools
• Open source development experience
• Experience in IT Security / IT Operations
• DevOps experience
• Sc. / PhD

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Our commitment to you!

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.