Nasdaq
Company
Lead Software Engineer - AI Platform Engineering
Job Description
Your role and responsibilities:
• Lead and mentor a team of software engineers in the Generative AI Development Team.
• Architect and implement cutting-edge Generative AI applications, ensuring scalability, performance, and reliability.
• Drive the adoption of best practices in software development, including code reviews, testing strategies, and continuous integration/deployment.
• Collaborate with cross-functional teams to define technical requirements and translate business needs into technical solutions.
• Oversee the collection, preprocessing, and curation of large datasets essential for training high-quality generative AI models.
• Lead the gathering of user feedback and iterate on designs to enhance usability and satisfaction.
• Enforce high code standards and best practices through rigorous peer code reviews and mentoring.
• Provide technical guidance and innovative solutions to complex problems faced by the team.
Effectively manage and coordinate geographically dispersed teams, ensuring seamless collaboration and communication.
Expert-level proficiency in Python, with an understanding of its ecosystem and guidelines.
Experience with AWS and cloud technologies, including serverless architectures.
Proficiency in software development methodologies (Agile, Waterfall, Lean) and ability to lead teams using these approaches.
Proficiency with infrastructure-as-code tools like Terraform
Proficient with Visual Studio Code and modern development environments
Experience with version control systems, particularly Git.
Proficient in Linux/Unix operating systems.
Proven expertise in data structures, algorithms, and software design patterns.
Proficiency with infrastructure-as-code tools like Terraform
Familiarity with Visual Studio Code and other modern development environments
Knowledge of relational and non-relational databases, SQL, and handling unstructured data.
Proficiency in Generative AI, including Large Language Models (LLMs), NVIDIA GPUs, Vector Databases, RAG, and MCP and their applications.
Strong leadership and mentoring skills, with the ability to guide and develop team members.
Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders.
Education Required: At least Masters’ Degree or double degree qualified in a discipline related to Computer Science and our industry; or equivalent work experience.
Experience Required: At least 10 years
Special Qualifications: Continues to develop computer engineering qualifications relevant to the industry challenges.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Nasdaq
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