AD
3D Product Designer (Modeling, Texturing, Rendering)
Askgalore Digital
Bhopal · On-site Full-time Mid Level 3w ago
About the role
Duties & Responsibilities
Key Responsibilities
- Develop and maintain backend systems and APIs for AI-powered applications.
- Design, implement, and optimize machine learning models and algorithms for real-world applications.
- Collaborate with cross-functional teams to integrate AI models into scalable, production-ready systems.
- Build and manage robust, secure, and efficient server-side architectures using Python frameworks (e.g., Django, Flask, FastAPI).
- Optimize application performance and troubleshoot backend issues.
- Work with databases (SQL and NoSQL) to store and manage large datasets for AI applications.
- Implement CI/CD pipelines for seamless deployment of AI and backend solutions.
- Stay up-to-date with the latest advancements in AI and backend development technologies.
Required Qualifications
- Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in backend development using Python and frameworks like Django, Flask, or FastAPI.
- Strong understanding of AI/ML concepts, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
- Hands‑on experience in deploying and scaling AI models in production environments.
- Proficient in working with RESTful APIs and microservices architecture.
- Solid knowledge of database management systems (PostgreSQL, MySQL, MongoDB, etc.).
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI and backend solutions.
- Experience with containerization technologies (Docker, Kubernetes) is a plus.
- Strong problem‑solving skills and the ability to work independently or as part of a team.
- Excellent communication skills and attention to detail.
Preferred Skills
- Knowledge of Natural Language Processing (NLP) or Computer Vision (CV) techniques.
- Experience with big data processing tools (e.g., Apache Spark, Hadoop).
- Familiarity with DevOps practices for AI/ML pipelines.
- Understanding of data security and privacy best practices.
What Does an AI + Backend Developer (Python) Do at AskGalore?
An AI + Backend Developer at AskGalore plays a pivotal role in designing and developing scalable backend systems while integrating cutting‑edge AI technologies. The role involves creating robust APIs, deploying AI models, and ensuring efficient and secure system operations to deliver impactful solutions for business and client needs.
Salary & Compensation
CTC and remuneration will be at par with industry standards given that the position will be working on world class projects.
Working Hours
- 9:30 AM – 6:30 PM
Location
Bhopal, India
Job Type
Full Time
Experience
Experience (2+ years) (Full‑Time)
Requirements
- Proven experience in backend development using Python and frameworks like Django, Flask, or FastAPI.
- Strong understanding of AI/ML concepts, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience in deploying and scaling AI models in production environments.
- Proficient in working with RESTful APIs and microservices architecture.
- Solid knowledge of database management systems (PostgreSQL, MySQL, MongoDB, etc.).
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI and backend solutions.
- Strong problem-solving skills and the ability to work independently or as part of a team.
- Excellent communication skills and attention to detail.
Responsibilities
- Develop and maintain backend systems and APIs for AI-powered applications.
- Design, implement, and optimize machine learning models and algorithms for real-world applications.
- Collaborate with cross-functional teams to integrate AI models into scalable, production-ready systems.
- Build and manage robust, secure, and efficient server-side architectures using Python frameworks (e.g., Django, Flask, FastAPI).
- Optimize application performance and troubleshoot backend issues.
- Work with databases (SQL and NoSQL) to store and manage large datasets for AI applications.
- Implement CI/CD pipelines for seamless deployment of AI and backend solutions.
- Stay up-to-date with the latest advancements in AI and backend development technologies.
Skills
AWSAzureDockerFastAPIFlaskGoogle CloudKubernetesMongoDBMySQLNLPPostgreSQLPyTorchPythonScikit-learnSparkSQLTensorFlow
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