AI Engineer

You should have at least 2 years of experience in the field of Artificial Intelligence and Machine Learning. Your expertise should cover the following areas: Machine Learning (ML): - Ability to work with both supervised and unsupervised learning techniques - Proficiency in regression, classification, and clustering algorithms - Experience in model evaluation and tuning Deep Learning: - Familiarity with neural networks such as CNNs, RNNs, LSTMs, and Transformers - Hands-on experience with frameworks like TensorFlow, PyTorch, and Keras Data Science & Analytics: - Skilled in data cleaning and pre-processing - Capable of performing feature engineering - Proficient in EDA (Exploratory Data Analysis) techniques Programming: - Advanced proficiency in Python, including libraries like NumPy, pandas, scikit-learn, and matplotlib - Knowledge of R, Julia, or C++ is a plus NLP & LLMs: - Experience in text preprocessing and working with embeddings like word2vec and BERT - Ability to fine-tune and utilize LLMs such as GPT, BERT, and T5 Computer Vision: - Competence in tasks like image classification and object detection - Familiarity with libraries like OpenCV, YOLO, or similar tools Math & Stats: - Strong foundation in linear algebra, probability, and calculus - Experience in statistical modeling Infrastructure & DevOps: - Familiarity with cloud platforms like AWS, GCP, and Azure - Knowledge of MLOps practices including ML pipelines and model versioning tools like MLflow and DVC - Proficiency in using Docker and Kubernetes for deployment - Experience with Git and version control systems - Ability to understand business problems and translate them into AI solutions This is a full-time position with a day shift schedule. The work location is in person.,