ApplySenior Staff Engineer, AI/ML (India)
Posted 2 months agoViewed
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💎 Seniority level: Staff, 10-15 years
📍 Location: India
🔍 Industry: Digital creative agency
🏢 Company: Code and Theory👥 251-500AdvertisingWeb 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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