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Data Scientist-Artificial Intelligence

3-6 Years
2 - 10 LPA
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Job Description

Data Scientist – Artificial Intelligence

Location: Bengaluru

Shift: General Day Shift

Experience: 3–6 Years

Key Responsibilities:

• Design enterprise-grade Agentic & Multi-Agent architectures

• Build RAG, embeddings, vector search, orchestration & tool-use solutions

• Develop autonomous and semi-autonomous AI workflows

• ️ Work with APIs, microservices & cloud architectures

• Implement AI governance, privacy, compliance & auditability

• ️ Establish guardrails & Human-in-the-Loop controls

• Work across Microsoft, open-source & cloud AI ecosystems

Tech Stack:

• GenAI, LLMs, RAG & Vector Databases

• LangChain, LangGraph & Multi-Agent AI

• APIs, Microservices & Cloud – Azure/AWS/GCP

• AI Governance, Guardrails & Responsible AI

Interested candidates can share profiles at:

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About Company

Artech is the largest Women & Minority owned IT staffing firm in the US, with US$ 800 million annual revenue run rate in 2021 and a footprint across the globe. With nearly three decades of experience, Artech empowers businesses through applied human intelligence and offers a spectrum of services that include Workforce Solutions (Contingent Staffing, Bulk/ Project Staffing, Master Vendor, RPO, Direct Hire and Payroll Transition) and Project-Based Solutions (Digital Experience, Technical Operations, Technical Development, Business Operations & Digital Platforms). Artech works with over 90 Fortune 500 clients across USA, Canada, India, and China.
At Artech, we are empowering talent by connecting potential with opportunities through applied human intelligence. We empower our teams to maximize the impact of their intellect, through a performance oriented, diverse, flexible, and inclusive work environment supported by our continuous learning and development focus.

Job ID: 152240907

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Bengaluru, India

Skills:

SparkSqlMlUnsupervised LearningNumpyPandasMLopsGraphPythonNlpLlmmodel registryscikit-learnAiprompt orchestration frameworkssupervised learningvector databasesexperiment trackingfeature management

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