AI Data Scientist

Level - Specialist / Senior Specialist

Experience – 5 to 10 Years

Location- Bangalore, Chennai, Hyderabad, Noida

Mode - Hybrid

Role - Python and Generative AI Developer

About us: 

Qualitest, The World’s Leading AI-Powered Quality Engineering Company

Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR.

Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry-specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end-to-end value demonstration with a focus on customer experience and release velocity.

A pioneer and innovator in its industry, Qualitest has been recognized in the highest Leader position in Everest Group's Quality Engineering Services for Mid-market Enterprises PEAK Matrix® Assessment 2024 report and has also been recognized as a Leader in The Forrester Wave™️: Continuous Automation and Testing Services Q2 2024 report.

Qualitest has offices in the United States, United Kingdom, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina

Role & Responsibility 

Proficiency with Retrieval-Augmented Generation (RAG) techniques and experience working with vector databases (e.g., Weaviate, PineCone).

Extensive Python programming skills, with a proven ability to implement complex solutions.

At least 1 year of practical experience in building applications based on Large Language Models (LLMs) using established third-party models (e.g., OpenAI, Anthropic).

Skilled in prompt engineering, with experience crafting function calls and constructing conversational AI applications.

Familiarity with advanced LLM techniques such as zero-shot and few-shot learning, as well as fine-tuning for specific use cases.

Strong background in using Generative AI libraries and tools, such as Langchain and HuggingFace.

Solid grasp of version control practices, including Git and collaborative development workflows.

Comprehensive experience in preparing, managing, and processing extensive datasets, both structured and unstructured.

Proven experience deploying, scaling, and monitoring machine learning models, particularly LLMs, in live environments.

Flexible to accommodate occasional overlap with US Eastern Time for effective team collaboration.

Professional proficiency in English.

Desirable Additional Experience:

Hands-on experience with open-source LLM frameworks, such as Llama or Mistral.

Prior work involving data in regulated sectors, such as healthcare, banking.

Technical Skills and Capabilities:

Skilled in RESTful API design (Python-FastAPI) and development, ensuring secure and scalable interfaces.

Proficient in JavaScript for both front-end and back-end, with a strong command of associated frameworks.

Knowledgeable in architecting scalable solutions using microservices.

Experience with the generative AI landscape, specifically around RAG, vector embeddings, LLMs, and open-source AI toolkits.

Familiarity with cloud-based infrastructure (AWS, Azure, GCP) and their data services.

Competent in database design and optimization across SQL and NoSQL technologies.

Agile development experience, using tools like Git, Jenkins, and Azure DevOps.

Excellent team collaboration and communication skills, with an aptitude for working across technical and non-technical roles.