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Job Overview:
Python Lead responsibilities include developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Responsibilities:
- Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- 7+ years of Experience in creating rest api using popular python web frameworks like Django, flask or fastapi.
- Knowledge of databases like postgres, elastic, mongo etc.
- Knowledge of working with external integrations like redis, kafka, s3, ec2 etc.
- Some experience in ML integrations will be a plus.
Requirements:
- Work experience as a Python Developer
- Team spirit
- Good problem-solving skills
- Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- strong knowledge of data structures, algorithms, and software engineering principles
- Nice to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
Relevant Experience:
• 3-5 years
Required Skills
• In-depth experience with Python and OO concepts
• Experience with using NumPy, Pandas, or similar AI/ML libraries
• Deep understanding of multi-process architecture and threading limitations of Python
• Expert knowledge of Python and related frameworks including Django and Flask.
• Experience in Machine Learning and Artificial Intelligence
• Good understanding of relational data modeling concepts and comfortable with SQL
• databases.
• Good understanding of AWS / Azure cloud
• Nice to have
• Experience / Exposure in Chat BOT or Voice BOT
• Experience in Lambda Function OR Azure Functions
• Exposure to Financial Domain
Additional Skillsets Desired:
• Ability to work with clients and key stakeholders to ensure requirements are met
• Strong problem-solving and debugging skills
• Passion to work in a start-up environment and readiness to dabble with challenging
• Ability to work in both a solo and team environment
• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused
Responsibilities:
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Understanding of the threading limitations of Python, and multi-process architecture
- Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Understanding of accessibility and security compliance (depending on the specific project)
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.
- You will be responsible for design, development and testing of Products
- Contributing in all phases of the development lifecycle
- Writing well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
- Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.