AI/ML Engineer II

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 13%

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Logo of Astreya

Astreya

1001 - 5000 employees

Founded 2001

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Astreya is a leading global provider of IT Managed Services and Technology Solutions, known for its innovative approach to digital engineering and IT logistics. The company focuses on empowering businesses to excel in today's dynamic digital landscape by maximizing productivity and fostering innovation. Astreya offers a range of services including Data Center & Network Management, Digital Workplace Services, Next-Gen Digital Engineering, and Cybersecurity Services. With a commitment to excellence and a focus on operational frameworks, Astreya aims to transform technology into a valuable strategic asset for organizations worldwide.

📋 Description

• Embed with customers (onsite or remote) to deeply understand their technical stack, data structures, and business workflows • Design, build, and deploy custom solutions, integrations, and workflows on top of the platform to solve high-value customer problems • Write production-quality code including APIs, data pipelines, scripts, and internal tools tailored to each customer's environment • Act as the technical bridge between customers and the core product/engineering team, translating field learnings into product requirements and roadmap input • Rapidly prototype solutions during discovery, then harden them into scalable, maintainable systems • Debug and resolve complex technical issues across the customer's infrastructure and the platform • Partner with sales and customer success teams during pre-sales technical evaluations, POCs, and pilots • Identify patterns across customer engagements that reveal opportunities for new product features or platform capabilities • Travel to customer sites as needed

🎯 Requirements

• 4+ years of experience as a software engineer, solutions engineer, or similar hands-on technical role • Strong coding ability in at least one modern language (Python, TypeScript/JavaScript, Go, Java, etc.) and comfort working across the stack • Experience with databases, APIs, and data integration/ETL patterns • Demonstrated ability to work independently in ambiguous, fast-changing environments with limited specs • Strong communication skills - able to explain technical tradeoffs to both engineers and business stakeholders • Customer-facing experience or a strong desire to work directly with customers, not just behind a ticket queue • A builder's mindset: comfortable going from whiteboard to working prototype to production system • Willingness to travel (typically 20–50%, depending on team and customer base) • Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes) • Background in a regulated or complex enterprise environment (finance, healthcare, government, logistics) • Prior experience at a startup in a customer-facing technical role • Familiarity with our specific domain (e.g., data infra, AI/ML, security)

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