Solution Engineer II – AI/ML Lead

🕒 July 28

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Arrow Electronics

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1935

🔧 Hardware

🤝 B2B

Hardware • B2B

Arrow Electronics is a global technology distributor and solutions provider that supplies electronic components and enterprise computing products to manufacturers and businesses. It distributes semiconductors, connectors, passives and other electronic hardware, and provides design-chain and supply-chain services, logistics and value-added solutions (including IoT enablement and cloud/enterprise solutions) to OEMs, contract manufacturers and enterprises. Arrow operates primarily in business-to-business channels, focusing on component distribution and technical/enterprise services for electronics and industrial customers worldwide.

📋 Description

• Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines. • Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement. • Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations. • Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment. • Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design. • Respond to client RFQs and provide robust technical proposals and solution architectures. • Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery.

🎯 Requirements

• B.Tech/M.Tech or Ph.D. in Computer Science, Electronics, or related engineering domain. • Typically requires 8–12 years of equivalent work experience • 3–5 years of experience in machine learning, deep learning, and computer vision • Proven track record of designing and deploying ML-based systems from concept to production. • Academic publications in computer vision research at top conferences and journals. • Excellent communication, problem-solving, and presentation skills.

🏖️ Benefits

• Professional development • Flexible working hours