Job Title: Python Developers (With Data Science experience) or AI/ML – Engineers (10+ Years) Work location: Weehawken, NJ 3 days/week onsite role Job Description: We are seeking a skilled Python Developer with a strong background in Artificial Intelligence, Machine Learning, and Data Science to join our innovative team. The ideal candidate will have extensive experience in developing production-grade NLP and NLG solutions, collaborating closely with data scientists, business analysts, and NLG teams to deliver impactful AI-powered applications. Your expertise will drive the development of scalable, efficient, and intelligent solutions across our platforms. Key Responsibilities: • Develop, optimize, and maintain AI/ML models and NLP pipelines using Python, PyTorch, TensorFlow, and cloud platforms. • Collaborate with data scientists, NLP specialists, and business teams to implement end-to-end production-grade Natural Language Generation (NLG) solutions. • Handle large-scale text data processing, including tokenization, stemming, lemmatization, regex-based searches, and other text preprocessing techniques. • Design and manage data storage solutions utilizing both relational and NoSQL databases, ensuring data integrity and performance. • Build scalable backend services and APIs to support AI/ML applications and workflows. • Implement efficient data pipelines for training, validation, and deployment of machine learning models. • Stay updated with the latest developments in AI, ML, NLP, and cloud technologies, applying best practices to projects. • Write clean, modular, and well-documented code following industry standards and CI/CD practices. • Troubleshoot, optimize, and improve existing AI/ML workflows for better accuracy and performance. Required Skills and Qualifications: • Proven experience in Python programming with a strong understanding of AI/ML frameworks such as PyTorch and TensorFlow. • Hands-on experience working with cloud platforms (AWS, Azure, GCP). • Deep understanding of NLP concepts, techniques, and preprocessing steps including regex searches, tokenization, stemming, lemmatization, and large-scale text processing. • Strong knowledge of relational databases (MySQL, PostgreSQL, etc.) and NoSQL databases (MongoDB, DynamoDB, etc.). • Experience in deploying AI/ML models into production environments. • Good communication skills to work effectively with cross-functional teams including data scientists, business analysts, and software engineers. • Solid problem-solving skills and ability to optimize workflows for scalability and performance. Preferred Qualifications: • Experience with large language models (Transformers, GPT, BERT). • Familiarity with NLP libraries such as spaCy, NLTK, or Gensim. • Experience working on NLG projects, including dialogue systems or content generation. • Knowledge of containerization and orchestration tools like Docker and Kubernetes.