Senior AI/ML Architect

Job Description

As a Machine Learning Architect at GlobalLogic, you will be responsible for leading the design and implementation of our machine learning infrastructure and algorithms. Your work will directly contribute to the core of our product offerings, enhancing our capabilities in data analysis, predictive modeling, and AI-driven solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to ensure our ML systems are robust, scalable, and aligned with business goals.

Key Responsibilities

• Design and implement scalable machine learning models and algorithms that can process large volumes of data efficiently.
• Lead the development of our ML infrastructure, ensuring it supports both current needs and future growth.
• Architect and optimize data pipelines for training and deploying machine learning models.
• Collaborate with data engineers and software developers to integrate ML models into production systems.
• Stay abreast of new developments in machine learning, AI, and data science, and assess their applicability to our business needs.
• Provide technical leadership and mentorship to ML engineers and data scientists.
• Work with product teams to translate business requirements into technical specifications and ML solutions.

Requirements

Required:

• 6+ years of experience in designing and implementing machine learning systems in a production environment.
• Profound knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, NLP, GenAI, and reinforcement learning.
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Proficient in programming languages used in data science and ML, primarily Python and R.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with at least 2 cloud platforms (e.g., AWS, Azure, Google Cloud) and understanding of how to leverage their ML services.
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) for deploying ML models.
• Familiarity with MLOps principles and tools to streamline the ML lifecycle from development to production.
• Excellent communication and leadership skills, with the ability to work in a fast-paced, collaborative environment.

Preferred:

• Certifications in cloud technologies and machine learning.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Published work in relevant fields.

What We Offer

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies.
• Empowering Growth: We foster a culture of continuous learning and professional development.
• DE&I Matters: At GlobalLogic, we deeply value and embrace diversity.
• Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth.
• Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants.
• Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle.

Join us at GlobalLogic and be part of a team that is at the forefront of digital engineering, helping brands across the globe design and build innovative products, platforms, and digital experiences for the modern world.