Immediate opening for a Data Scientist (Computer Vision & AI)

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Data Scientist Computer Vision & AI We are seeking a highly skilled Data Scientist with strong expertise in Computer Vision and AI with 6+ years of experience to join our team

The ideal candidate is hands-on with modern ML/AI frameworks, capable of designing and deploying scalable models, and comfortable working across cloud, DevOps, and visualization ecosystems

You will contribute to end-to-end development from data preprocessing and model building to production deployment and stakeholder communication

Responsibilities :

Develop and deploy AI/ML models for Computer Vision and NLP

Work with large datasets using Python, R, SQL/NoSQL, Hadoop, PySpark

Build and optimize deep learning models with TensorFlow, PyTorch, Keras, FastAI

Integrate models into applications via Flask, FastAPI, Django

Leverage Azure, Databricks, Docker, Kubernetes for scalable ML workflows

Create insightful dashboards using Tableau, Power BI, Plotly, Seaborn, Matplotlib

Collaborate in Agile/Lean environments , managing stakeholders and simplifying complex outputs

Requirements :

Strong programming skills: Python, Java, Django, R (basic), SQL/NoSQL

Expertise in ML/AI frameworks : TensorFlow, PyTorch, Keras, FastAI, HuggingFace (BERT/Transformers), OpenCV

Experience with Big Data & ML pipelines : Hadoop, PySpark, MLflow

Familiarity with Cloud & DevOps : Azure, Docker, Kubernetes, Git

Proficiency in data visualization : Tableau, Power BI, Seaborn, Plotly, Matplotlib

Strong problem-solving, communication, and stakeholder management skills

Background in Computer Vision projects (classification, detection, segmentation) preferred

If you are interested and your skills / experience matches our requirements, please share us your CV

Please include Data Scientist Computer Vision & AI in the subject line

Apply below:

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Data Scientist

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