AI/ML Engineer

Actively Reviewing the Applications

Scoutit

India, Karnataka, Bangalore Rural Full-Time INR 9–16 LPA

Posted 6 days ago • Apply by July 1, 2026

Job Description

We're looking for AI/ML Engineers!

Responsibilities

Conducting in-depth research on AI and ML models, particularly in Generative AI.
Developing, fine-tuning and optimizing AI/ML models for various applications.
Implementing and deploying AI-based applications using Python frameworks.
Working with containerization technologies like Docker for scalable application deployment.
Designing and integrating CI/CD pipelines for automated testing and deployment.
Developing and integrating APIs for web applications to interact with AI models.
Collaborating with cross-functional teams to develop AI-powered solutions.
Staying up to date with the latest advancements in AI/ML and emerging trends in GenAI.
Ensuring the security, performance and reliability of AI applications.
Developing and maintaining technical documentation for AI models and software applications.

Qualifications

Strong proficiency in Python and familiarity with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
Researching and developing AI models, especially in Generative AI.
Solid knowledge of containerization using Docker and experience with Kubernetes.
Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI.
Proficiency in deploying AI applications on cloud platforms (AWS, Azure, or GCP).
Strong understanding of software development best practices, APIs, and microservices architecture.
Proficiency in web application development and API design for AI-powered applications.
Ability to explore, evaluate, and implement state-of-the-art AI research.
Excellent problem-solving skills and ability to work in an agile development environment.

Preferred Qualifications

Familiarity with LangChain, OpenAI API, or similar GenAI frameworks.
Knowledge of vector databases and Retrieval-Augmented Generation (RAG) architectures.
Exposure to MLOps practices and AI model lifecycle management.
Prior experience with NLP, computer vision, or reinforcement learning.
Contributions to AI research papers, open-source projects, or hackathons.

(*Note: This is a requirement for one of Scoutit's clients)

Skills: ml,python,aws