About Company : Established in 2013, our client has been at the forefront of digital transformation, with a robust presence in the US and development hubs in Bhilai (HQ) and Indore, India. Starting with just three engineers, they have grown into a team of over 150 experts, including data scientists, engineers, and AI specialists, delivering innovative solutions to 75+ global enterprise clients from offices in Bhilai, Indore, and Texas.

Responsibility:

• Design, develop, and maintain robust Python applications to support business needs.
• Work extensively with unstructured data to extract, transform, and load (ETL) meaningful insights.
• Develop and implement advanced NLP and NLU models to enhance data processing and analysis capabilities.
• Integrate and interact with various APIs, including AI, SaaS, and third-party services, to enhance functionality and data flow.
• Design and optimize database schemas, ensuring efficient operation across both SQL and NoSQL databases.
• Collaborate with data scientists and analysts to develop scalable solutions for processing large datasets.
• Implement data pipelines for collecting, processing, and storing unstructured data in data version control (DVC)
• Ensure data quality, integrity, and consistency across all systems and processes.
• Work closely with DevOps and infrastructure teams to deploy and manage applications in cloud environments.
• Ensure seamless integration of developed solutions with existing systems and platforms.
• Provide technical guidance and mentorship to junior developers.
• Participate in code reviews, ensuring best practices in software development are upheld.
• Contribute to the architectural design and long-term planning of software systems.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in Python development, with a focus on data processing and API integration.
• Extensive experience working with unstructured data, ETL processes, and databases (SQL and NoSQL).

Note: We appreciate every application, however, due to a high volume of applicants, only shortlisted candidates will be contacted.