Machine Learning (ML)
Deep Learning
PythonShould be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP
Shubham Vishwakarma
Full Stack Developer - Averlon
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You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality.
Key Responsibilities
- Architect and build scalable backend systems (Python / FastAPI preferred)
- Integrate LLM APIs, RAG pipelines, and AI workflows into production applications
- Deploy and maintain containerized applications on AWS/Azure
- Use AI coding assistants and agents to accelerate development, without compromising code quality
- Convert ambiguous requirements into production-ready systems
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- 7+ years of professional software engineering experience
- Strong Python backend experience
- Experience building REST APIs and production systems
- Solid understanding of system design and clean architecture
- Hands-on experience with Docker and Linux
- Experience deploying to AWS or Azure
- Experience integrating LLM APIs into applications
- Experience with embeddings / vector databases / RAG pipelines
- Strong Git and collaborative development workflows
- Ability to operate independently in ambiguous environments
Most importantly:
- Strong engineering fundamentals
- High ownership mindset
- Comfort using AI tools to move fast
- Discipline to maintain structure and quality
Good-to-Have
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Screening Requirement
Please include:
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Django
Amazon Web Services (AWS)
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JavaWHO YOU ARE
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon