- Required Skills & Qualifications1 year or Fresher of hands-on experience in AI/ML, Data Science, or a related field.
- Robust programming skills in Python.
- Good understanding of Machine Learning concepts, algorithms, and workflows.
- Hands-on experience with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of data preprocessing, feature engineering, and model evaluation.
- Good knowledge of SQL.
- Familiarity with Git/GitHub and version control.
- Basic understanding of REST APIs and ML model deployment.
- Robust problem-solving and analytical skills.
- Develop and implement machine learning models based on business and technical requirements.
- Clean, pre process, and analyze datasets for machine learning applications.
- Perform feature engineering and data preparation.
- Train, test, and evaluate ML models using appropriate performance metrics.
- Work with machine learning techniques such as regression, classification, clustering, and recommendation systems.
- Develop basic deep learning solutions using TensorFlow or PyTorch.
- Work on NLP and/or Generative AI use cases as required.
- Experiment with LLMs, prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).




- Integrate trained models into applications through APIs.
- Write clean, maintainable, scalable, and well-documented Python code.
- Collaborate with software engineers, data scientists, and product teams.
- Troubleshoot model and application issues and improve model performance.
- Assist in deploying and monitoring ML models across development and production environments.
- Stay updated with the latest developments in AI, Machine Learning, and Generative AI.
- Good to HaveBasic experience with Generative AI and Large Language Models (LLMs).
- Knowledge of Hugging Face, LangChain, or LlamaIndex.
- Understanding of RAG architectures and vector databases.
- Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Basic knowledge of Docker and MLOps.
- Experience working on academic, personal, freelance, or professional AI/ML projects.
- A portfolio or GitHub profile showcasing AI/ML projects.
- EducationBachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field.
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📌 AI/ML Engineer (Faridabad)
🏢 Itsybizz AI Private
📍 Faridabad