Duties & Responsibilities

Examples of duties and responsibilities include:

• Design, develop, and maintain Python backend systems for AI applications, ensuring scalability, reliability, and performance.
• Hands-on experience with Computer Vision, OpenCV, and other visual recognition, object detection, and motion detection algorithms and libraries.
• Implement MLOps best practices for model training, evaluation, deployment, and monitoring.
• Collaborate with data scientists and machine learning engineers to integrate ML models into backend services and applications.
• Build and deploy ML microservices using containerization technologies such as Docker and orchestration tools like Kubernetes.
• Develop automation scripts and tools for CI/CD pipelines to streamline the deployment process.
• Implement DevOps practices to ensure efficient development workflows and infrastructure management.
• Optimize backend systems for handling large-scale data processing and real-time inference.
• Conduct code reviews, perform testing, and ensure high code quality and security standards are maintained.
• Stay updated with the latest advancements in AI, ML, and DevOps technologies and incorporate them into projects as needed.
• Provide technical guidance and mentorship to junior team members.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Minimum of 5 years of professional experience as a backend engineer, with a focus on AI and Python development.
• Strong proficiency in Python programming and experience with backend frameworks such as Flask or Django.
• Solid understanding of MLOps principles and experience with tools like TensorFlow Extended (TFX), Kubeflow, or MLflow.
• Hands-on experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
• Familiarity with DevOps practices, including CI/CD pipelines, configuration management, and infrastructure as code (IaC).
• Experience in designing and building scalable, distributed systems for machine learning applications.
• Knowledge of NLP libraries (NLTK, SpaCy, Transformers) and Computer Vision frameworks (OpenCV, TensorFlow, PyTorch).
• Experience with deploying and managing large language models (LLMs) such as BERT or GPT.
• Excellent problem-solving skills, strong attention to detail, and the ability to work effectively in a collaborative team environment.
• Knowledge of Gaming AI, 3D Computer Graphics, Metaverse, ThreeJS, Unreal Engine, and Unity 3D will be an added advantage.
• Good communication skills and the ability to explain technical concepts to non-technical stakeholders.

What does an AI Developer do at AskGalore?

AI developers at AskGalore design, develop, and implement artificial intelligence algorithms and systems to solve complex problems, improve processes, and automate tasks across various industries. They work with machine learning models, neural networks, natural language processing, and other AI technologies to create intelligent solutions that can learn and adapt from data.

Salary & Compensation

CTC and remuneration will be at par with industry standards given that the position will be working on world class projects.

Join us at AskGalore, where innovation meets excellence. If you are passionate about AI and ready to lead impactful projects, we encourage you to apply and become a vital part of our dynamic team.

Working Hours

• 9:30 AM - 6:30 PM