B
Bandhan Technologies Private Limited
Chief Data Scientist
Skills
Google Cloud PlatformSQL QueriesDeep LearningDockerPythonData SciencePyTorchTensorFlowAmazon EC2AWS LambdaGoogle BigQueryData AnalysisMachine LearningAIAWSKubernetesGoogle AnalyticsNLP / Natural Language ProcessingAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹3,000,000 – ₹4,000,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
20 August 2026
What they need
- A first-principles problem solver who challenges the status quo, thinks creatively, and has a strong bias for action.
- 1012+ years of strong hands-on experience in Advanced Analytics, Data Science, Predictive Modelling, and Deep Learning.
- Proven ability to translate business problems into AI/analytics use cases and solution blueprints.
- Ability to influence without authority across business and tech teams.
- Strong at embedding AI into workflows and driving adoption.
- Excellent executive storytelling using data, can explain complex Analysis and AI simply to CxOs.
- Solid understanding of statistics, machine learning, and model evaluation techniques.
- Strong proficiency in Python, SQL, and ML/DL libraries (PyTorch/TensorFlow, scikit-learn, etc.).
- Proven experience with LLMs: prompt engineering, fine-tuning (LoRA/PEFT), RAG, agents, and orchestration frameworks (LangChain, LlamaIndex, or similar).
- Experience with NLP, text mining, speech AI (ASR/STT, TTS), and conversational AI pipelines.
- Experience with computer vision and video models, embeddings, and familiarity with transformer-based video architectures (e.g., VideoMAE, TimeSformer, etc.).
- Experience building multimodal systems combining text, voice, vision, and structured data for decisioning.
- Experience in designing system architectures that combine models, APIs, and workflows.
- Experience deploying AI systems on cloud platforms (AWS/Azure/GCP); strong exposure to AWS services (Lambda, S3, SNS, SQS, EC2, RDS, KMS, SageMaker). Familiarity with Docker, Kubernetes, CI/CD, and scalable inference pipelines.
- Experience in Insurance, BFSI, FinTech, or HealthTech preferred.
- Exposure to digital analytics platforms (e.g., Google Analytics, BigQuery) is a plus.
- Bachelors or Master’s degree in Engineering, Technology, Statistics, Data Science, or related fields from a reputed institute; MBA is a plus.
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