Senior Engineer - Python and Go - AI/ML

2 days ago

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Logo of 3Pillar Global

3Pillar Global

3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.

Product Strategy • Product Development • Product Architecture • Mobile Apps • Big Data

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-10

📋 Description

• Accomplished Tech Visionary: Embark on an exciting journey into software development with 3Pillar! • As a Senior Python Engineer specializing in AI/ML, actively contribute to reshaping data analytics for clients. • Leverage Python or Go to build AI/ML solutions and improve business outcomes.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields. • Ideally 1+ years of experience in building AI models with ML, NLP, and deep learning. • Strong proficiency in Python or Go and the related ecosystem for AI/ML development. • Familiarity with LLM concepts, information retrieval, recommendation engines, and predictive AI. • Strong understanding of data engineering concepts, including data cleaning, transformation, and preparation for AI/ML pipelines. • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. • Familiarity with tooling and APIs using inference engines hosted externally.

🏖️ Benefits

• Flexible work environment - office, home, or a blend of both. • Focus on well-being with fitness offerings, mental health plans, and generous time off. • Opportunities for career growth and development across projects and industries. • Commitment to diversity and values like Intrinsic Dignity and Open Collaboration.

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