Experience

Minimum 6 months of experience required. Freshers may also apply.

Qualification

Bachelor of Science, Bachelor of Engineering/Bachelor of Technology, B.C.A, Diploma, M.E./M.Tech, M.S., M.C.A

Roles & Responsibilities:

• Develop, test, and deploy AI models and algorithms for real-world applications.
• Implement machine learning (ML), deep learning (DL), and natural language processing (NLP) solutions.
• Preprocess and analyze large datasets for training AI models.
• Optimize AI models for accuracy, performance, and efficiency.
• Integrate AI capabilities into web, mobile, and cloud applications.
• Research and stay updated with the latest AI trends, frameworks, and best practices.
• Work with computer vision, speech recognition, and recommendation systems.
• Collaborate with data scientists, software engineers, and business teams.

Skill Required:

• Strong knowledge of Python, TensorFlow, PyTorch, Scikit-learn, and Keras.
• Experience with machine learning algorithms, neural networks, and deep learning architectures.
• Proficiency in NLP libraries (Transformers, NLTK, SpaCy, Hugging Face).
• Understanding of AI model deployment using Docker, Kubernetes, and cloud services.
• Hands-on experience with data preprocessing, feature engineering, and model training.
• Knowledge of Big Data technologies (Hadoop, Spark, Kafka) and databases (SQL, NoSQL).