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TI

DataScientist

Tranzeal Inc.
🇮🇳 India
On-site
1 month ago
  • AI
  • Computer Vision
  • Python
  • TensorFlow
  • PyTorch
  • Databricks
  • MLflow
  • Delta Lake
  • Machine Learning
  • MLOps
  • CI/CD
  • CNNs
  • Natural Language Processing
  • Azure Cloud
  • Unix
  • Linux
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Customer: AMAT
Exp:4-7 Yrs
Location: Bangalore, ITPL (Customer Location)
Mode of Work: Onsite, 4 Days/ Week
Interview: 3 Rounds, (Final round is In-person at Customer Location)
Budget:20-22 LPA
Bangalore-based candidates preferred


Important: Candidates must be comfortable with4 days WFO at ITPL and attending thein-person final interview.
• 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 specialization 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, MLflow, 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 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.

DataScientist · Tranzeal Inc.

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