Research & Analytics
Job Title:
Generative AI Data EngineerJob Description
Your Journey at Concentrix + Webhelp Starts Here:At Concentrix + Webhelp, our mission is to be the greatest customer engagement services company in the world, rich in diversity and talent. We believe in doing right by and for people, our clients, their customers, our staff, our communities, and our planet.
If you have an interest in improving performance for the world's best brands in over 70 countries spanning 6 continents, please continue reading. There are a few characteristics we look for across all our hires regardless of the team they are working for. If this is you, we would love to discuss career opportunities with you.
Are you ready to reimagine the world in Gen AI?
Concentrix + Webhelp provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.
In our Concentrix Catalyst team, you will work with the engine that powers the experience design and engineering capabilities at Concentrix. A leading global solutions company that reimagines everything CX through strategy, talent, and technology. We combine human-centered design, powerful data, and strong tech to accelerate CX transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience.
#LI-Onsite
You will work as Data Engineer and help ensure the availability and quality of data needed for solving business problems using Generative AI. You will maintain high-quality data sets and scalable data processing systems for Generative AI applications and driving the continuous improvement of the data processing processes.
Experience level: 7-10 years.
You will be reporting to Data Engineering Manager.
Responsibilities:
- Design and implement data integration, acquisition, cleansing, harmonization, and transformation processes to create curated high-quality datasets for the usage of vector stores/embeddings.
- Maintain scalable data processing pipelines and monitor technology trends and advancements in Generative AI and incorporate them to improve.
- Collaborate with Solution Architects, Data Scientists, Software Engineers and DevOps Engineers, Product Owners, researchers and business stakeholders on the cross-functional team.
Skills and Qualifications:
- 7+ years of experience in Data Engineering and 6 months of hands-on experience in Generative AI technologies like vector databases.
- Hands-on experiences on text processing tools (e.g. spaCy, NLTK, Word2vec, pyTorch) and Data Engineering tools (e.g. Hadoop, Airflow, Pandas)
- Experience with at least one cloud platform like Azure, AWS, GCP
- Hands-on experience in software development with one major programming language (e.g. Python) and experience in machine learning and Generative AI models
- Understand the difference, advantages, and disadvantages between the most common large language models (GPT, Llama)
- Hands-on experiences on information retrieval tools (e.g. Chroma DB, Pinecone, Vector, Elasticsearch or other vector stores)
- Good overview of re-usable frameworks and tools in the field of Generative AI (both commercial and open source)
Benefits: You will be eligible for Medical Insurance coverage for Self & Dependent as per the Medical Insurance Policy.
Location:
IND Bangalore - Manyata Blk D4, 2nd FlrLanguage Requirements:
Time Type:
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