Somnetics (Som Imaging Informatics Pvt. Ltd.)
Data Scientist
Somnetics (Som Imaging Informatics Pvt. Ltd.)Norway3 days ago
Full-timeRemote FriendlyEngineering, Information Technology
Remote | Full-time 22th August 2025

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.

How To Apply

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:

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