Posted 06 July, 2026
Data Scientist
Tranzeal Inc.
Bengaluru, Karnataka, IN
Full Time
Reference: 26-00648-1238-1
Job Title : Data Scientist
Experience : 8+
Location : International Tech Park (ITPL), ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka 560066.
Salary : 21.5 LPA
Please note that candidate should work from AMAT office Bangalore once selected. 4 days WFO is mandate.
Educational Qualifications
• Bachelor's or master's degree (B.E./B.Tech/M.Tech/MCA) in Computer Science, Electronics & Communication, Electrical Engineering, or a related discipline.
• A master's degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly desirable.
Experience
• 8+ years of overall IT experience, including at least 8+ years of hands-on experience in Data Science.
Must-Have Technical Skills
• Strong Python programming skills with practical experience using deep learning frameworks such as TensorFlow and PyTorch.
• Experience in data preprocessing, data augmentation, and managing large-scale image and video datasets for model development.
• Strong understanding of transformer architectures, RNNs, transfer learning techniques, vision transformer models (e.g., ViT), and fine-tuning of language models.
• Mandatory exposure to Natural Language Processing (NLP) techniques.
• Experience building AI agents using frameworks such as LangGraph.
• Ability to design and optimize prompt engineering workflows for large language models (e.g., GPT, Claude, LLaMA).
• Strong proficiency in Python and up-to-date software development best practices.
• Knowledge of enterprise-level AI security, compliance, and governance requirements.
• Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated model deployment.
• GenAI, agentic workflows, RAG pipelines
Nice-to-Have Technical Skills
• Understanding of and hands-on experience with Convolutional Neural Networks (CNNs) and Reinforcement Learning.
Cloud & Infrastructure
• Strong expertise in Databricks and the Azure cloud ecosystem.
• Experience working in UNIX/Linux environments, including the use of command-line tools for scripting and automation.
Soft Skills
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills, including interpersonal, written, visual (presentations), and verbal communication.
• Ability to collaborate effectively with cross-functional teams and mentor junior team members.
Kindly share best profiles with details feedback from internal team. Also please share below prescreening questionnaire:
Q. Years of experience in Machine Learning?
Ans :
Q. Do you have experience in Deep Learning? if yes, how many years?
Ans:
Q. Which Deep Learning Framework have you worked with? how do you rate yourself in it out of 10 ?
Ans :
Q. Have you trained or finetuned a deep learning model? if finetuned, name few pretrained models you have finetuned?
Ans :.
Q. Which NLP libraries or frameworks have you used (e.g., NLTK, spaCy, Hugging Face Transformers)?
Ans.
Q. Have you worked on CV projects? What types of tasks (e.g., object detection, image segmentation) have you handled?
Ans
Q. Which CV architectures or pre-trained models have you utilized (e.g., CNNs, ResNet, YOLO)?
Ans.
Q. Do you have experience/exposure on working with LLM ? if yes, Which LLM have you used (e.g., GPT3.5, Gemini, Llama)
Ans:
Experience : 8+
Location : International Tech Park (ITPL), ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka 560066.
Salary : 21.5 LPA
Please note that candidate should work from AMAT office Bangalore once selected. 4 days WFO is mandate.
Educational Qualifications
• Bachelor's or master's degree (B.E./B.Tech/M.Tech/MCA) in Computer Science, Electronics & Communication, Electrical Engineering, or a related discipline.
• A master's degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly desirable.
Experience
• 8+ years of overall IT experience, including at least 8+ years of hands-on experience in Data Science.
Must-Have Technical Skills
• Strong Python programming skills with practical experience using deep learning frameworks such as TensorFlow and PyTorch.
• Experience in data preprocessing, data augmentation, and managing large-scale image and video datasets for model development.
• Strong understanding of transformer architectures, RNNs, transfer learning techniques, vision transformer models (e.g., ViT), and fine-tuning of language models.
• Mandatory exposure to Natural Language Processing (NLP) techniques.
• Experience building AI agents using frameworks such as LangGraph.
• Ability to design and optimize prompt engineering workflows for large language models (e.g., GPT, Claude, LLaMA).
• Strong proficiency in Python and up-to-date software development best practices.
• Knowledge of enterprise-level AI security, compliance, and governance requirements.
• Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated model deployment.
• GenAI, agentic workflows, RAG pipelines
Nice-to-Have Technical Skills
• Understanding of and hands-on experience with Convolutional Neural Networks (CNNs) and Reinforcement Learning.
Cloud & Infrastructure
• Strong expertise in Databricks and the Azure cloud ecosystem.
• Experience working in UNIX/Linux environments, including the use of command-line tools for scripting and automation.
Soft Skills
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills, including interpersonal, written, visual (presentations), and verbal communication.
• Ability to collaborate effectively with cross-functional teams and mentor junior team members.
Kindly share best profiles with details feedback from internal team. Also please share below prescreening questionnaire:
Q. Years of experience in Machine Learning?
Ans :
Q. Do you have experience in Deep Learning? if yes, how many years?
Ans:
Q. Which Deep Learning Framework have you worked with? how do you rate yourself in it out of 10 ?
Ans :
Q. Have you trained or finetuned a deep learning model? if finetuned, name few pretrained models you have finetuned?
Ans :.
Q. Which NLP libraries or frameworks have you used (e.g., NLTK, spaCy, Hugging Face Transformers)?
Ans.
Q. Have you worked on CV projects? What types of tasks (e.g., object detection, image segmentation) have you handled?
Ans
Q. Which CV architectures or pre-trained models have you utilized (e.g., CNNs, ResNet, YOLO)?
Ans.
Q. Do you have experience/exposure on working with LLM ? if yes, Which LLM have you used (e.g., GPT3.5, Gemini, Llama)
Ans:
