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Cogentix Systems

AI Architect / Manager

₹32–32 LPA

Applications closed

BangaloreContractOn-Site12–14 yrs2 openingsInformation TechnologyImmediateDay Shifts

Post Graduation

Artificial Intelligence Architecture, Machine Learning, Deep Learning, Generative AI, NLP, Python, TensorFlow, PyTorch, Model Deployment, Data Engineering Concepts, AWS, Azure, GCP

1️⃣ Basic Information

Job Title

AI Architect / Manager

Company

Cogentrix

Location

Bangalore

Work Type

On-site

Street Address

Bangalore

Area/Neighborhood

Bangalore

City

Bangalore

Pincode

123455


2️⃣ Job Requirements

Required Skills

  • Artificial Intelligence Architecture
  • Machine Learning
  • Deep Learning
  • Generative AI
  • NLP
  • Python
  • TensorFlow / PyTorch
  • Model Deployment
  • Data Engineering Concepts
  • Cloud Platforms (AWS / Azure / GCP)

Preferred Skills

  • AI solution design for enterprise systems
  • MLOps
  • Model performance optimization
  • Team leadership and mentoring

Nice-to-Have Skills

  • AI governance frameworks
  • LLM integration
  • Data security & compliance knowledge

Total Experience (In years)

12+ Years

Educational Qualification

Bachelor’s / Master’s Degree in Computer Science, AI, Data Science, Engineering, or related field

Language Requirements

English

Age Range

21 – 55

3️⃣ Job Terms & Compensation

Employment Type

Contract to Hire (C2H)

Category

IT / Artificial Intelligence

Currency

INR (₹)

Salary Range

Min: 32 LPA

Max: 32 LPA

Number of Openings

2

Shift Timings

General Shift

Tenure (Days)

90 Days

Payment Frequency

Yearly

Commission

6%

Hiring Need

Immediate

4️⃣ Job Description

Description

Cogentrix is hiring an experienced AI Architect / Manager with 12+ years of expertise in designing and implementing enterprise-level AI solutions.

Key Responsibilities:

  • Design and architect scalable AI and ML solutions.
  • Lead AI strategy and implementation across projects.
  • Develop and deploy machine learning and deep learning models.
  • Implement Generative AI and NLP-based applications.
  • Manage AI teams and mentor data scientists and engineers.
  • Ensure AI governance, compliance, and security standards.
  • Collaborate with business stakeholders to define AI roadmaps.

This is a leadership role requiring deep technical expertise in AI/ML along with strong architectural and managerial capabilities.

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