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Data Scientist

Vega IntelliSoft Private Limited

4 years

0 Lacs

Bengaluru, Karnataka

Posted:2 weeks ago| Platform: SimplyHired logo

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Skills Required

Azure Computer Science DevOps Master's degree Bachelor's degree AI Communication skills

Work Mode

On-site

Job Description

Job Summary:
We are seeking a highly skilled and forward-thinking Data Scientist with expertise in automation solutions powered by Computer Vision, Large Language Models (LLMs), Optical Character Recognition (OCR), Vision-Language Models (vLMs) and production level deployment experience on azure Cloud. The ideal candidate will bridge the gap between business needs and technical capabilities, driving intelligent automation initiatives across the organization. Key Responsibilities:

Collaborate with stakeholders to gather and analyze business requirements for automation use cases.
Design and document intelligent automation workflows using AI/ML technologies.
Work closely with data scientists, ML engineers, and developers to implement solutions using:

o Computer Vision for image/video analysis.
o LLMs for natural language understanding and generation. o OCR for document digitization and data extraction. o vLMs for multimodal data interpretation. o Agents: Orchestration tools like langraph or autogen

Define KPIs and success metrics for automation projects.
Conduct feasibility studies and cost-benefit analyses.
Ensure seamless integration of AI models with Azure Cloud services (e.g., Azure Cognitive Services, Azure ML, Azure Functions).
Support testing, validation, and deployment of automation solutions.
Provide training and documentation for end-users and stakeholders.

Required Skills & Qualifications:

Bachelor//'s or Master//'s degree in Computer Science, Engineering, Data Science, or related field.
4+ years of experience as a Business Analyst in tech-driven environments.
Proven experience in automation projects involving AI/ML technologies.
Strong understanding of:

o Computer Vision frameworks (e.g., OpenCV, YOLO, Detectron2).
o LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face Transformers). o OCR tools (e.g., Tesseract, Azure Form Recognizer, ABBYY). o vLMs (e.g., CLIP, Flamingo, GPT-4V).

Hands-on experience with Azure Cloud services and DevOps practices.
Excellent analytical, communication, and stakeholder management skills.

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Data Scientist