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Salary
≈ $23k – $46k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Staff · 8+ years exp

First seen by Alion on Aug 18, 2026.

Overview
Company
Impact
Profile match
NS Global Corporation is an Indian IT consulting and staff augmentation company that supplies engineers for AI and machine learning, cloud, CRM, ERP, DevOps and product engineering work. Established in 2015, it offers dedicated developers and project teams across Salesforce, SAP, ServiceNow, Workday and data platforms, and recruits for client assignments in Bengaluru, Hyderabad, Pune, Chennai and other Indian cities. Its openings are mainly contract and client roles such as SAP ABAP and functional consultants, Salesforce developers, Databricks and data engineers, AI engineers, QA leads and identity and access management analysts.

Data Scientist

Number of Positions: 2

Experience: 8-12 Years

Work Location: Bangalore

Work Mode: Hybrid Work from Office 3 Days per Week

Role Overview:

We are looking for an experienced Data Scientist with strong expertise in Data Science, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI. The ideal candidate should have hands-on experience developing and deploying AI/ML solutions using Python and modern AI frameworks, with strong exposure to large-scale image and video datasets.

Key Responsibilities:

- Design, develop, train, and deploy advanced Machine Learning and Deep Learning models.

- Work extensively with Python, TensorFlow, and PyTorch for AI/ML development.

- Perform data preprocessing, feature engineering, and management of large-scale image and video datasets.

- Develop solutions using Transformer architectures, RNNs, Transfer Learning, and Vision Transformers (ViT).

- Work on NLP, LLM fine-tuning, Generative AI, and RAG-based solutions.

- Build and implement AI agents using frameworks such as LangGraph.

- Develop prompt engineering strategies for LLMs including GPT, Claude, and LLaMA.

- Design and implement agentic workflows and enterprise-grade AI solutions.

- Implement MLOps practices including model versioning, CI/CD, automated deployment, monitoring, and model lifecycle management.

- Ensure AI solutions comply with enterprise security, governance, privacy, and compliance requirements.

- Work with Databricks and Azure Cloud for large-scale data processing and AI/ML workloads.

- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.

Required Skills:

- 8+ years of overall IT experience with strong hands-on experience in Data Science.

- Strong programming expertise in Python.

- Hands-on experience with TensorFlow and/or PyTorch.

- Strong experience in NLP is mandatory.

- Strong understanding of Transformer Architectures, RNNs, Transfer Learning, Vision Transformers (ViT), and LLM Fine-Tuning.

- Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI.

- Experience building AI agents using LangGraph or similar frameworks.

- Strong prompt engineering experience with LLMs such as GPT, Claude, and LLaMA.

- Strong experience in Databricks and Azure Cloud.

- Good understanding of MLOps, CI/CD, model versioning, and automated deployment.

- Experience working with UNIX/Linux environments.

- Understanding of enterprise AI security, governance, and compliance.

Preferred Qualifications:

- Experience handling large-scale image and video datasets.

- Experience designing enterprise-grade AI/ML platforms.

- Strong analytical and problem-solving abilities.

- Excellent communication and stakeholder management skills.

- Ability to work effectively with cross-functional teams.

Skills

Data Science, Machine Learning, Python, Deep Learning, NLP, Generative AI, Data Scientist, Artificial Intelligence

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