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Senior ML / AI Developer

Senior ML / AI Developer

Radcube LLCHyderabad, TG, in
10 days ago
Job type
  • Quick Apply
Job description

Job Description

Job Title :  Senior ML / AI Developer

Experience Required :  5–6 Years

Location :  India (On-site)

Department :  AI & Data Innovation

Company :  RADcube – A Stlogics Company

Job Summary

We are seeking a highly skilled ML / AI Developer  to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools.

Roles & Responsibilities

  • Design and deploy ML / AI models using CNN, RNN, Seq2Seq, and LLMs.
  • Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms.
  • Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs.
  • Preprocess and engineer datasets using Python for training and evaluation.
  • Deploy AI models and services using AWS or Azure.
  • Collaborate cross-functionally with engineering, product, and DevOps teams.
  • Explore and apply RLHF, prompt engineering, and newer AI optimization strategies.
  • Follow Agile development methodology and participate in sprints.

Requirements

Required Skills & Qualifications

  • Bachelor’s or Master’s in ML Engineering (preferred) or Data Science.
  • 5–6 years of experience in ML / AI engineering or data science roles.
  • Strong Python programming skills.
  • Solid knowledge of algorithms like KNN, SVM, Naive Bayes.
  • Proven work with NLP, CNNs, LLMs, and deep learning architectures.
  • Experience working with cloud platforms – AWS or Azure.
  • Prior experience integrating chatbots or conversational AI in production.
  • Preferred Skills

  • Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs.
  • Knowledge of model versioning, monitoring, or MLOps practices.
  • Bonus : Open-source contributions or AI research experience.
  • Requirements

    Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science. 5–6 years of experience in ML / AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes. Proven work with NLP, CNNs, LLMs, and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus : Open-source contributions or AI research experience.

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