Immediate Hiring - Data scientist - Bangalore - MNC

Tranzeal; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tranzeal is seeking an experienced ML/AI expert in Bengaluru to design, train, and deploy computer vision solutions. You will work on image classification, object detection, segmentation, and video analytics, leveraging Python and leading DL frameworks.

The role requires strong data preprocessing, scalable ML workflows with Databricks, MLflow, and Delta Lake, plus experience with CNNs, transfer learning, and transformer-based vision models. Collaboration across teams and mentoring will be key.

Qualifications

• Strong programming in Python with hands-on deep learning frameworks.
• Experience in designing and deploying deep learning models for CV tasks (image classification, object detection, segmentation, video analytics).
• Exposure to MLOps practices, including model versioning and CI/CD.

Responsibilities

• Design and deploy deep learning models for computer vision applications.
• Preprocess data and handle large-scale image/video datasets.
• Collaborate with cross-functional teams and mentor juniors.

Skills

Python

TensorFlow

PyTorch

Keras

Databricks

MLflow

Delta Lake

MLOps

CI/CD

Data preprocessing

CNNs

Transfer learning

ViT

NLP (nice)

Education

B.E./B.Tech/M.Tech/MCA in CS/EE/EC or related field

Master's in CS/AI/Deep Learning/Computer Vision

Tools

Databricks notebooks

MLflow

Delta Lake

Job description

Educational Qualifications:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
• A master's degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred.

Experience:

• 46 years of IT experience, with a minimum of 3+ years in data science
• 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:

• Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
• Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
• Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.
• Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).
• Exposure to natural language processing (NLP) techniques is a plus.

Cloud & Infrastructure:

• Strong expertise in Azure cloud ecosystem,
• Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication skills—interpersonal, written, visual (presentations), and verbal.
• Ability to collaborate effectively across cross-functional teams and mentor junior team members.