Associate Machine Learning Engineer

Key Responsibilities: Assist in developing, training, testing, and optimizing machine learning models. Collect, clean, preprocess, and analyze structured and unstructured datasets. Implement machine learning algorithms for classification, regression, clustering, and prediction tasks. Perform exploratory data analysis (EDA) and feature engineering. Evaluate model performance using appropriate metrics and validation techniques. Collaborate with cross-functional teams to understand business requirements and develop AI/ML solutions. Assist in deploying machine learning models and integrating them into applications or APIs. Research emerging technologies, tools, and trends in Artificial Intelligence and Machine Learning. Maintain technical documentation and contribute to improving existing ML workflows.

Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field. Strong programming knowledge in Python. Understanding of fundamental machine learning algorithms and concepts. Basic understanding of statistics, probability, and linear algebra. Knowledge of data preprocessing, feature engineering, and model evaluation. Familiarity with SQL and database concepts. Good analytical, logical reasoning, and problem-solving skills. Strong communication skills and willingness to learn new technologies. Good to HaveBasic knowledge of Deep Learning and Neural Networks. Exposure to TensorFlow or PyTorch. Familiarity with NLP, Computer Vision, or Generative AI.Understanding of REST APIs and Flask/FastAPI.Familiarity with Git, GitHub, and basic cloud platforms. Academic projects, internships, or personal projects related to AI/ML.