Python Developer, Global Analytic Insights

IND Gurugram - S P Infocity Tower B-4th Flr

Concentrix

Concentrix is a global technology and services leader that powers the world’s best brands, today and into the future.

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Job Title:

Python Developer, Global Analytic Insights

Job Description

We're Concentrix. A new breed of tech company — Human-centered & Tech-powered.
We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.
Our game-changers:
Challenge Conventions
Deliver outcomes unimagined
Create experiences that go beyond WOW
If this is you, we would love to discuss career opportunities with you.
In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today's hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of CX.
Concentrix provides eligible employees with an opportunity to enroll in many 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.

Job Title: Python Developer (NLP/ Text Analytics)

Job Location: Gurugram (sector 15)

Shift Timing: 9 AM to 9 PM (IST) - Shift window will be of 9 hours

Work Type: Work from office

You will be reporting to Manager.

Job Description:

This is an onsite (work from office) job from Gurugram location.

Summary:

We are seeking an experienced Python / Gen AI Developer to join our team. You will work with the UI/UX team and bridge the gap between graphical design and technical implementation, taking an active role on both sides to develop working and scalable solutions.

Responsibilities:

  • 2+ years of experience in Python and Text Analytics/ NLP techniques.
  • Good experience using popular ML packages (sklearn, PyTorch, word2vec), and previous experience in conducting research and creating ad hoc reports.
  • Work with vector databases and embedding techniques for efficient data representation and retrieval.
  • Strong experience in writing code and building functionality using Python.
  • Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Tree, Random Forest, Ada Boost.
  • Advanced SQL and experience with ETL on OLTP and OLAP databases for creating bounded and unbounded data pipelines, data mart is a must.
  • Utilize Azure OpenAI API and other cloud platforms (GCP, Rag) for LLM access and integration.

Qualifications:

  • Master’s degree in computer science, Artificial Intelligence, or a related field (or equivalent experience).
  • Expertise in Python programming and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong understanding of vector databases and embedding techniques (e.g., Word2Vec, GloVe).
  • Experience with implementing guardrails and safety measures for AI systems.

Good to have skills:

  • Familiarity with LangChain and LammaIndex concepts; machine learning operations (MLOps) practices - building and deploying web applications.
  • Experience with cloud platforms like Azure OpenAI, GCP, or Rag
  • Passion for innovation and a strong desire to push the boundaries of AI technology

Location:

IND Gurugram - S P Infocity Tower B-4th Flr

Language Requirements:

Time Type:

Full time

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Tags: APIs Azure Computer Science CX Data pipelines Deep Learning ETL GCP Generative AI GloVe LangChain LLMs Machine Learning MLOps NLP OLAP OpenAI Pipelines Privacy Python PyTorch RAG Research Scikit-learn Security SQL TensorFlow UX Word2Vec

Perks/benefits: Career development Flex hours

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