Required Skills & Qualifications1 year or Fresher of hands-on experience in AI/ML, Data Science, or a related field. Strong programming skills in Python. Valuable 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. Strong 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.

📌 AI/ML Engineer (Faridabad)
🏢 Itsybizz AI Private
📍 Faridabad