AI/ML Software Engineer

Ford Motor Company

. Design, build, and deploy AI/ML-powered applications from concept through production.

Posted 10/13/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI/ML applications, with strong capabilities in backend and frontend development using Python, FastAPI, React, and cloud platforms. Proficient in MLOps, CI/CD pipelines, and software architecture principles to ensure scalable and maintainable solutions.

Highest-signal resume keywords

Python ProgrammingFastAPI DevelopmentReact Frontend DevelopmentMLOps and CI/CD PipelinesCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI Application DevelopmentSoftware ArchitectureModel EvaluationData PreparationContainerizationAutomated TestingDesign PatternsRelational DatabasesNoSQL Databases

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaboration

Tools & Technologies

AWSAzureGCPDockerKubernetesPostgreSQLMongoDBPineconeWeaviateMilvus

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Artificial IntelligenceMaster’s Degree in Machine LearningMaster’s Degree in Software Engineering

Industry Keywords

AI/ML ApplicationsGenerative AIPrompt EngineeringInfrastructure-as-CodeDevOps Practices

Tech Stack

Tools & technologies

AWSAzureCloudDjangoDockerFlaskGoogle Cloud PlatformJavaScriptKubernetesMongoDBNoSQLPostgresPythonReactTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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