Codevian Technologies Pvt. Ltd.

Python Developer

Pune, India

Codevian Technologies Pvt. Ltd.

Python Developer

Pune, India

Job Description

Design and implement high-performance APIs using FastAPI and Flask.

Develop and maintain complex database systems with PostgreSQL, MongoDB, and Redis.

Build and optimize NLP solutions using SpaCy, NLTK, Transformers (Hugging Face), and Gensim.

Create and deploy machine learning and deep learning models using TensorFlow, PyTorch, and Keras.

Collaborate with cross-functional teams to define, design, and ship new features.

Write clean, maintainable, and efficient code.

Participate in code reviews and provide constructive feedback to peers.

Troubleshoot and debug applications to ensure optimal performance.

Stay updated with industry trends and technologies to bring innovative solutions to our projects

Job Information

Let’s apply

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Job Information

Work Experience

3+ yrs

Salary

Best in industry

Start Date

Immediate

Location

Pune

Qualification

Must haves for a complete job fulfillment:
• 3+ years of experience as a Python Developer with a strong portfolio of projects.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Strong knowledge of:
•PostgreSQL: Relational database for structured data.

• MongoDB: NoSQL database for unstructured data.

•Redis: In-memory data structure store, used as a database, cache, and message broker.

Proficiency in:
• FastAPI: High-performance web framework for building APIs with Python 3.6+.

•Flask: Micro web framework for Python.

•GraphQL: For building APIs with query flexibility.

Expertise in natural language processing (NLP):
•SpaCy: Industrial-strength NLP library for Python.

•NLTK (Natural Language Toolkit): A suite of libraries and programs for symbolic and statistical natural language processing.

•Transformers (Hugging Face): State-of-the-art models like GPT, BERT, T5, etc.

•Gensim: For topic modeling and document similarity.

Experience with machine learning and deep learning frameworks:
•TensorFlow: Open-source platform for machine learning.

•PyTorch: Deep learning framework known for its flexibility and ease of use.
•Keras: High-level neural networks API, running on top of TensorFlow.

•Contributions to open-source Python projects or active involvement in the Python community.

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Technical Skill

Design and implement high-performance APIs using FastAPI and Flask.

Develop and maintain complex database systems with PostgreSQL, MongoDB, and Redis.

Build and optimize NLP solutions using SpaCy, NLTK, Transformers (Hugging Face), and Gensim.

Create and deploy machine learning and deep learning models using TensorFlow, PyTorch, and Keras.

Collaborate with cross-functional teams to define, design, and ship new features.

Write clean, maintainable, and efficient code.

Participate in code reviews and provide constructive feedback to peers.

Troubleshoot and debug applications to ensure optimal performance.

Stay updated with industry trends and technologies to bring innovative solutions to our projects

Job Information

Qualification

Must haves for a complete job fulfillment:
• 3+ years of experience as a Python Developer with a strong portfolio of projects.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Strong knowledge of:
•PostgreSQL: Relational database for structured data.

• MongoDB: NoSQL database for unstructured data.

•Redis: In-memory data structure store, used as a database, cache, and message broker.

Proficiency in:
• FastAPI: High-performance web framework for building APIs with Python 3.6+.

•Flask: Micro web framework for Python.

•GraphQL: For building APIs with query flexibility.

Expertise in natural language processing (NLP):
•SpaCy: Industrial-strength NLP library for Python.

•NLTK (Natural Language Toolkit): A suite of libraries and programs for symbolic and statistical natural language processing.

•Transformers (Hugging Face): State-of-the-art models like GPT, BERT, T5, etc.

•Gensim: For topic modeling and document similarity.

Experience with machine learning and deep learning frameworks:
•TensorFlow: Open-source platform for machine learning.

•PyTorch: Deep learning framework known for its flexibility and ease of use.
•Keras: High-level neural networks API, running on top of TensorFlow.

•Contributions to open-source Python projects or active involvement in the Python community.

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