? We're Hiring
Data Scientist / ML Engineer who enjoys going beyond experimentation and building AI solutions that create measurable business impact.
We are looking for a hands-on Senior Data Scientist to design, scale, and productionise models that redefine the conference experience for thousands of global attendees and exhibitors inshort you’ll work on exciting problems across Machine Learning, Recommendation Systems, Predictive Analytics, Generative AI, Web Intelligence, and MLOps.
? Gurgaon | Hybrid – 2 days/week in office
? Job Type : Contract
? Experience: 5+ years
What we are looking for:
- 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, or a related field.
- Strong expertise in Python and SQL.
- Solid experience developing and evaluating machine learning models.
- Experience with one or more ML frameworks such as Scikit-learn, PyTorch, or TensorFlow.
- Practical experience with LLMs / Generative AI and an understanding of how they can be applied to real-world business problems.
- Experience with web scraping, data extraction, or data enrichment.
- Exposure to MLOps, ML pipelines, model monitoring, or production ML systems.
- Experience working with large-scale data using Spark, Hadoop, or similar technologies.
- Familiarity with at least one cloud platform: AWS, Azure, or GCP.
- Robust communication skills and the ability to explain technical concepts to business and non-technical stakeholders.
? Education:
- Master’s or PhD in Computer Science, Statistics, Mathematics,
Data Science, Engineering, or a related quantitative discipline is preferred. Equivalent practical experience will also be considered.
?️ Your Tech Stack & Tools
- Core: Python, SQL
- ML/DL: scikit-learn, TensorFlow, PyTorch, HuggingFace
- Data & Cloud: Big Data tools (Spark/Hadoop), Cloud Platforms (AWS/GCP/Azure)
- Web Scraping: BeautifulSoup, Scrapy
- Next-Gen Productivity: Claude-code, GitHub Copilot (We champion GenAI-driven efficiency!)
? Why This Role Matters You won't just write code; you will own the lifecycle of high-impact data products:
- Personalise Experiences: Build and enhance core recommendation engines driving client retention.
- Drive Revenue: Develop predictive models that empower sales teams to secure attendees and exhibitors.
- Innovate with GenAI: Leverage LLMs and automated web scraping to build rich, scalable datasets.
- Build End-to-End: Move beyond notebooks by deploying production-grade microservices and MLOps pipelines.
???? ????????/??????????? ?????????? ???? ?? ?????????* If you match the above requirements and are ready for a challenging yet rewarding role, kindly share your updated resume with the following details:
1. Total Experience:
2. Relevant Experience
3. Current CTC
4. Expected CTC
5. Notice Period
6. Current Location
Please email your resume to
[email protected] with the subject line: Application –Sr. Software Engineer
Looking forward to connecting with you.
📌 Sr. Software Engineer (Gurugram)
🏢 ExcelGens
📍 Gurugram