AI/ML Software Engineer

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

📦 Logistics

💼 Consulting

📣 Marketing

💰 Post-IPO Debt on 2023-08

Logistics • Consulting • Marketing

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• Design, build, and deploy AI/ML-powered applications from concept through production. • Build scalable backend services and APIs using Python and frameworks such as FastAPI. • Develop responsive and user-friendly frontend applications using React, JavaScript, and TypeScript. • Design scalable software architecture, reusable components, and appropriate design patterns for AI and non-AI applications. • Productionize and deploy AI models and inference services using cloud platforms such as AWS, Azure, or GCP. • Build and maintain MLOps and CI/CD pipelines for application code, models, prompts, and evaluation assets. • Implement observability using logs, metrics, traces, dashboards, and alerts. • Define and monitor service-level objectives for latency, availability, accuracy, error rate, and cost. • Use AI-assisted software development tools to accelerate coding, testing, documentation, and prototyping while maintaining engineering quality. • Collaborate with product managers, domain experts, data scientists, and software engineers to convert business needs into measurable AI quality goals. • Participate in architecture reviews, technical design discussions, and production readiness assessments. • Mentor engineers on AI/ML engineering practices, software architecture, testing, and responsible use of AI tools. • Stay current with advancements in generative AI, machine learning, cloud technologies, and software engineering practices.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field. • Experience developing and deploying machine learning or AI-powered applications. • Strong programming experience in Python. • Experience building production APIs and backend services using FastAPI, Flask, Django, or similar frameworks. • Strong frontend development experience using React, JavaScript, and/or TypeScript. • Hands-on experience with LLMs, generative AI, prompt engineering, RAG, or AI agents. • Understanding of machine learning concepts, model evaluation, data preparation, and inference workflows. • Experience with cloud platforms such as AWS, Azure, or GCP. • Experience with containers and deployment technologies such as Docker and Kubernetes. • Familiarity with CI/CD, infrastructure-as-code, and DevOps practices. • Experience working with relational and NoSQL databases, such as PostgreSQL, MongoDB, or equivalent. • Familiarity with vector databases or search technologies, such as PostgreSQL with vector extensions, Pinecone, Weaviate, Milvus, or similar. • Strong understanding of software architecture, scalability, security, testing, and design patterns. • Experience developing automated tests and maintaining high-quality, production-ready code. • Strong analytical, problem-solving, communication, and collaboration skills.

🏖️ Benefits

• Remote work / work from home (India) • Full-time employment