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Immediate Hiring For Python Developer AIML (Data Scientist)

5 - 10 years

18 - 25 Lacs

Posted:15 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

interested candidates share cv to dikshith.nalapatla@motivitylabs.com

Total Experience: 5+ years

Relevant:5+years

Role:

Skills:

  • Python, FastAPI/Flask/Django anyone would be fine
  • GenAI and LLM Experience is a must have, at least 2 projects
  • PyTorch or Tensorflow, scikit-learn, pandas, numpy
  • Cloud technologies - at least 1 out of AWS, GCP, Azure
  • Database - SQL (MySQL, PostGres, SQL server any one would be fine), NoSQL Experience is a good to have

Key Responsibilities:

  • Python Web Development: Design, develop, and maintain Python-based web applications using Django or Flask frameworks. Ensure code is efficient, scalable, and maintainable.
  • Cloud Integration: Integrate applications with cloud services, such as AWS, Azure, or Google Cloud, to leverage scalability and reliability. Deploy and manage applications on cloud infrastructure.
  • Containerization: Utilize containerization technologies like Docker to package applications and ensure consistent deployment across different environments.
  • Coding Best Practices: Follow coding best practices, maintain clean and well-documented code, and conduct code reviews to ensure code quality and adherence to coding standards.
  • Software Development Principles: Apply software development principles such as SOLID, DRY (Don't Repeat Yourself), and KISS (Keep It Simple, Stupid) to create efficient and maintainable code.
  • Database Integration: Work with various databases (SQL and NoSQL) to design and implement data models and efficient database queries.
  • API Development: Create RESTful APIs using Django REST framework or similar tools to facilitate data exchange between front-end and back-end systems.
  • Security: Implement security best practices, including authentication, authorization, and data encryption, to protect applications against security vulnerabilities.
  • Performance Optimization: Identify and resolve performance bottlenecks in applications by profiling code and applying optimization techniques.
  • Testing: Develop unit tests and integration tests to ensure the reliability and functionality of web applications.
  • Documentation: Create and maintain technical documentation, including code comments, system architecture diagrams, and API documentation.
  • Continuous Integration/Continuous Deployment (CICD): Set up CICD pipelines to automate build, testing, and deployment processes, ensuring rapid and reliable releases.
  • Code Versioning: Use code versioning systems like Git for collaborative development and code management.
  • Monitoring and Logging: Implement monitoring and logging solutions to track application performance and troubleshoot issues proactively.

Good to have:

  • Programming skills in leveraging data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn) to deliver actionable insights and data-driven solutions.
  • Familiarity with big data technologies and cloud platforms is a plus.
  • Familiarity with MLOps platforms like MLFlow.
  • Thorough knowledge of database systems, SQL, and NoSQL databases.

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred).
  • Extensive experience in Python web development with Django or Flask.
  • Strong knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and cloud deployment.
  • Good Experience in AI ML

interested candidates share cv to dikshith.nalapatla@motivitylabs.com

  • Total Experience:

  • Relevant Experience:

  • Gen AI Experience:

  • ML Experience:

  • Current Role / Skillset:

  • Current CTC:

    1. Fixed:

    2. Variables(if any):

    3. Bonus(if any):

  • Payroll Company(Name):

  • Client Company(Name):

  • Expected CTC:

  • Official Notice Period:

  • Serving Notice (Yes / No):

  • CTC of offer in hand:

  • Last Working Day (in current organization):

  • Location of the Offer in hand:

  • Willing to work from office:

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