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.
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.