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).

AI Developer

Job Description