• Next Gen Talent Platform

Deep Learning Engineer

G Talent Pro

Job Information

Job Id: GTPJ35451277

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    Job Role Software Developer
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    Company Name G Talent Pro
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    Website www.https:\\gtalentpro.com
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    Industry Type Staffing
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    Candidate Type Experienced
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    Experience 2 - 5 Years
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    Job Type Permanent
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    Education Any Graduation
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    Degree Any Degree
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    Specialization Computer Science
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    Acceptable Notice Period 30 Days
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    Yearly Salary Industry Standard
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    No of Vacancies 10 openings
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    Language English
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    Work State Karnataka, Maharashtra, Tamil Nadu, Telangana
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    Work City Bengaluru, Pune, Chennai, Hyderabad
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    Work Locations Pune, Chennai, Hyderabad, Benagaluru

Job Description

Job Summary

We are seeking a skilled AI Engineer with 2–5 years of experience to build and deploy intelligent systems using Machine Learning, Deep Learning, and Generative AI. The role focuses on developing scalable AI solutions, integrating models into applications, and driving real-world impact. This position is with a leading industry organization, offered under direct payroll.

 

Job Description

  • Develop and deploy AI/ML models to solve business problems
  • Build and integrate Generative AI / LLM-based solutions (chatbots, copilots, RAG systems)
  • Work on end-to-end AI lifecycle: data collection, preprocessing, training, evaluation, and deployment
  • Design data pipelines and feature engineering workflows
  • Integrate AI models into applications using APIs and microservices
  • Optimize models for accuracy, scalability, and performance (latency)
  • Implement MLOps practices for model versioning, CI/CD, and monitoring
  • Collaborate with cross-functional teams (Product, Data, Engineering)
  • Conduct experimentation, validation, and performance tuning
  • Ensure Responsible AI practices (fairness, explainability, governance)
  • Proven experience leading AI projects and mentoring teams
  • Strong system design and production deployment experience

 

 

Roles & Responsibilities

  • Build and maintain machine learning and deep learning models
  • Develop NLP and Generative AI applications
  • Create and manage data processing pipelines
  • Deploy models using cloud platforms (AWS/GCP/Azure)
  • Monitor and improve model performance in production
  • Troubleshoot and resolve issues in AI systems
  • Document models, workflows, and technical solutions
  • Stay updated with the latest AI trends and tools

 

 

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