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or Clickhouse or DuckDB over Iceberg. Working experience with programming languages like Python, Pandas. Working experience in Data Science. Working experience in DevOps. Job requisition ID : 29460 Apply now
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Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong
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work. 2. Proficiency in data tools such as R, Power BI, Orange, Tableau, Excel, Python, etc. 3. Excellent oral and written communication skills. 4. Resourceful and keep up-to-date with changes in
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a huge advantage. Machine Learning – Hands-on experience with machine learning techniques. Work Experience – Industry work experience in cutting edge AI projects Python/R Programming – Proficiency in
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/Debian, or equivalent distributions. Proficiency in Bash, R, and Python. Experience with operating system–level virtualisation technologies such as Apptainer/Singularity and Docker is an advantage
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expertise (RGB, Depth Cameras) and deployment of machine learning models on embedded/edge systems for real-time industrial applications. Proficiency in Python and C/C++, with hands-on experience using deep
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Cryptography (PQC) or Quantum Key Distribution (QKD), is required. Coding background in C, Java, Assembly, Python, or VHDL for analysis is required. Affinity for handling standard laboratory equipment such as
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of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to communicate complex concepts clearly and accurately We regret to inform that only shortlisted candidates
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programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge, or embedded systems. Experience in
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, particularly through statistical applications (e.g. SPSS, R, Python, Stata). Preferably have an interest in anthropology, sociology, history or science and technology studies (STS), especially in the areas