AI Backend Developer

8 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Role: AI Backend Developer

Experience: 8Years

Location: Remote

About the Role

We are seeking a skilled and motivated AI Backend Developer with a strong background in software engineering to

design, develop, and deploy intelligent systems. The role involves integrating AI into scalable applications, building

models, and collaborating with cross-functional teams to deliver impactful, AI-driven features.


Key Responsibilities


• Design, develop, and implement AI/ML algorithms and integrate them into software applications.

• Build robust and scalable APIs and services that support AI functionality.

• Collaborate with data scientists, backend/frontend engineers, and product managers to define requirements and

deliver AI-driven features.

• Train, test, and evaluate machine learning models using relevant datasets.

• Optimize models and code for performance, scalability, and accuracy.

• Deploy and monitor AI solutions in production environments.

• Stay up to date with the latest trends and advancements in AI/ML and software engineering.

• Write clean, maintainable, and well-documented code.

• Conduct code reviews and contribute to the full SDLC.


Required Skills & Qualifications


• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.

• 2+ years of experience in software development, with at least 1 year in AI/ML-focused roles.

• Proficient in programming languages such as Python, Java, or C++.

• Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

• Hands-on experience with cloud platforms (AWS, GCP, Azure) and deploying AI models to production.

• Solid understanding of algorithms, data structures, and software design patterns.

• Familiarity with REST APIs, microservices architecture, and containerization (Docker, Kubernetes).

• Experience working

• with data pipelines, databases (SQL/NoSQL), and data preprocessing.

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