• Technical Expertise :
• Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field, with at least 3 years of relevant working experience.
• Deep technical and data science expertise, demonstrating proficiency in:
  Machine Learning & Statistical Modelling: Including linear regression, GLMs, time series forecasting, supervised learning (e.g., gradient boosted trees, neural networks), segmentation, clustering, design of experiments, and causal inference.
  LLMs & Generative AI: Fine-tuning and evaluation of large language models (e.g., GPT, LLaMA), prompt engineering, red-teaming, and performance monitoring
  Efficient data manipulation (with skills in SQL, Python, Spark, Hadoop/Hive, and Databricks) and data visualization (using tools like Power BI).
  Familiar with software engineering best practices, including modular code design, reproducibility, and testing. Proficient with version control tools such as GitHub, GitLab, and Bitbucket
  
• Exposure to cloud platforms (e.g., Azure AWS, GCP) and ML lifecycle tools (e.g., MLflow, Airflow)
• Strong problem-solving skills, with the ability to identify and solve complex business problems through data analysis.
• A team player with a customer-focused mindset, able to work well in a team and passionate about delivering exceptional customer experiences.
• Excellent data visualization and communication skills, with the ability to present insights and findings in a clear, concise, and compelling manner, both in written and verbal form

To Apply:
Please send your latest CV in word file to pooja@quinnox-solutions.com
Kindly indicate your availability, current and expected remuneration package.
We regret that only shortlisted candidates will be notified.

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