Senior Staff Engineer, AI/ML (India)

Posted 9 days agoViewed

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💎 Seniority level: Staff, 10-15 years

📍 Location: India

🔍 Industry: Digital creative agency

🏢 Company: Code and Theory👥 251-500 Advertising Web Design

🗣️ Languages: English

⏳ Experience: 10-15 years

🪄 Skills: AWSPythonSQLArtificial IntelligenceCloud ComputingETLKubeflowMachine LearningPyTorchData engineeringTensorflowData visualizationData modelingData analyticsData management

Requirements:

10-15 years of experience in data analytics, engineering, management, and AI frameworks, with expertise across the data lifecycle.
Advanced knowledge of data engineering, data analytics, and AI tools and frameworks.
Expertise in one or more major data analytics and AI platforms.
Completion of two or more certifications in data analytics, AI, or cloud-based platforms.
Proven ability to mentor team members, lead technical discussions, and propose innovative solutions.
Experience in managing client projects, creating standards, and ensuring architectural integrity.
Strong ability to engage with client technical stakeholders and negotiate acceptable solutions.
Relevant certifications in data analytics, AI, or cloud platforms are required.

Responsibilities:

Serve as an expert across the entire data lifecycle: preprocessing, analysis, visualization, model development, deployment, and monitoring.
Provide technical guidance on frameworks, platforms, and tools related to data analytics and AI.
Propose accelerators, reusable models, and scalable solutions to optimize development efforts.
Mentor junior team members in data engineering, analytics frameworks, and AI/ML tools.
Lead discussions to establish frameworks, standards, and best practices aligned with organizational goals.
Develop impactful case studies and participate in showcasing innovative solutions to support business growth.
Act as a subject matter expert during client interactions for active projects, business development, or growth opportunities.
Lead feature engineering, model selection, and deployment strategies for client projects.
Negotiate technical solutions with client stakeholders and align them with architectural principles and project requirements.
Lead and review team solutions to ensure scalability, best practices adherence, and standards alignment.
Create and implement project-specific standards where core standards are absent.
Drive the successful completion of client projects by delivering high-quality data and AI solutions.

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