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Job Title: Lead Data Scientist(3+ Years Experience) – Immediate Joiner only
Location: Bengaluru (Work from Office – Minimum 4 Days/Week)
Joining: Within 15 Days (Immediate / Short Notice Preferred)
Employment Type: Full-time (Third-Party Payroll, Not Contractual)
Educational Qualifications:
o B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
o A master's degree in computer science, Artificial Intelligence, or a specialisation in Deep Learning or Computer Vision is highly preferred.
Experience:
o 4–6 years of IT experience, with a minimum of 3+ years in data science
o Proven experience in designing and deploying deep learning models, particularly in computer vision applications such as image classification, object detection, segmentation, and video analytics.
Technical Skills:
o Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
o Familiarity with Databricks notebooks, ML flow, and Delta Lake for scalable machine learning workflows.
o Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
o Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.
o Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).
o Exposure to natural language processing (NLP) techniques is a plus.
Cloud & Infrastructure:
o Strong expertise in the Azure cloud ecosystem,
o Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.
Soft Skills:
o Strong analytical and problem-solving abilities.
o Excellent communication skills—interpersonal, written, visual (presentations), and verbal.
o Ability to collaborate effectively across cross-functional teams and mentor junior team members.
Job ID: 147194211
Skills:
probability , Tableau, Tensorflow, Numpy, Pytorch, Azure Functions, Docker, Python, Matplotlib, Power Bi, Apache Spark, Sql, Azure ML, Pandas, Databricks, Seaborn, Rest Apis, scikit-learn, MLflow, Cloud Run, GCP Vertex AI, Model evaluation techniques, Dask, SHAP, ML algorithms, Plotly, linear algebra, LIME, Statistics, optimization fundamentals
Skills:
Java, Machine Learning, Cloud Infrastructure, Pig, Mapreduce, Hive, Spark, Advanced Sql, Python, Data Mining Algorithms, Agile Framework, R, Big Data Tools
Skills:
Tensorflow, Pytorch, Sql, Python, R, Scikit-learn, ML libraries
Skills:
Eda, Pyspark, Time Series, Data Visualization, Python, Statistical Analysis, tree based models, personalization models, ML techniques, Regression
Skills:
Sql, Python
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