Data Scientist

Posted:
10/27/2024, 8:43:41 PM

Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Important Information


Role: Data Scientist
Location: Remote
Experience: 5-10 years
Job Mode: Full-time
Work Mode: Work from home

Job Overview:We are looking for a Data Scientist with a strong background in software engineering and a passion for leveraging advanced technologies. The ideal candidate will have experience in Python programming, cloud platforms, and generative AI tech stacks, including embeddings and vector databases.

Key Responsibilities:

  • Design, develop, and implement data-driven solutions utilizing machine learning and statistical methods.
  • Work with large datasets and conduct analysis to derive insights that inform business decisions.
  • Collaborate with cross-functional teams to integrate data science solutions into products and services.
  • Utilize cloud platforms (AWS, Azure, or GCP) for data storage and processing.
  • Experiment with large language models (LLMs) and generative AI technologies, including embeddings and vector databases.
  • Stay informed about industry trends and best practices in data science and AI.

Qualifications:

  • Mandatory Skills:
    • Strong software engineering background.
    • Proficient in Python programming.
    • Experience with cloud platforms (AWS, Azure, or GCP).
    • Familiarity with large language models (LLMs).
    • Knowledge of generative AI tech stack, including embeddings and vector databases.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality