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Sr Data Scientist

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Job Description - Sr Data Scientist

Company Description

Aqilea is an IT and engineering consulting partner that helps companies get more out of their technology and operations. With teams in Stockholm and Bangalore, we work closely with our clients to build solutions that fit their needs - from software development, AI and infrastructure engineering to industrial automation and embedded systems.

We combine strong technical expertise with a practical, business-focused approach to help organizations modernize, improve security, and scale with confidence. Above all, we focus on long-term partnerships built on trust, quality, and real results.

With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.

About the Role

Company: Aqilea India

Role: SR Data Scientist

Experience: 9 to 12 Years

Below skill are mandatory :-

  • Large Language Models (LLMs)
  • Classical Machine Learning (Supervised & Unsupervised Learning)
  • Generative AI
  • Python
  • Microsoft Azure
  • Azure Data Factory & Azure Data Foundry
  • Azure, Azure DevOps, Azure Machine Learning, Azure Databricks, Azure Data Factory, Azure AI Foundry, Azure AI Vision (OCR, Custom Vision, Face).

Certification from Microsoft :-

Azure AI Fundamentals AZ‑900

Azure Fundamentals AI‑900

Azure AI Engineer Associate Certification (AI-102)

Your main responsibilities will include

  • Design, develop, and deploy predictive models including forecasting, classification, regression, and segmentation
  • Build and customize deep learning NLP models, multimodal models (text + vision), and context‑aware AI solutions.
  • Implement and tune custom loss functions, advanced quantitative methods, and high‑impact ML algorithms.
  • Deep knowledge of statistical modeling, experimentation, and advance data analysis.
  • Conduct rigorous model validation, diagnostics, and performance monitoring.
  • Perform complex statistical analyses and generate meaningful insights that influence business strategy.
  • Work closely with product managers, engineering teams, and business leaders to define analytical requirements.
  • Conduct A/B testing, causal inference, and optimization modeling (linear, mixed‑integer, multi‑objective).
  • Translate ambiguous business needs into clear analytical frameworks and modeling approaches.
  • Define and track KPIs and product metrics, supporting data driven prioritization and roadmaps.
  • Exposure to agentic AI workflows leveraging LLMs, retrieval, tool use, and reasoning systems.

You have the needed skills and qualities to work in analytics, including:

  • Strong proficiency in Python (Pandas, NumPy, Scikit‑learn; TensorFlow/PyTorch preferred).
  • Expertise in SQL, relational databases, data warehouses.
  • Hands‑on experience with Databricks, large‑scale analytics, and ML workflows.
  • Deep knowledge of statistical modeling, experimentation, and causal analysis.
  • Experience working with Azure cloud services.

Start: Immediate to 15 Days

Location: Bangalore (Work from office only)

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