AI Developer

Brief DescriptionPosition: AI DeveloperExperience: 2+ yearsLocation: Technopark, Trivandrum Prefer Immediate Joiners Technical Skills: Python and R, TensorFlow / PyTorch, YOLO, Natural Language Processing (NLP), Model Deployment (Docker, Kubernetes), Version Control (Git), Big Data Tools (Apache Kafka, Flink, and Cassandra), Hadoop, SQL, and NoSQL Responsibilities: Design, develop, and implement AI and machine learning models to solve business problems.Collaborate with data scientists, engineers, and product teams to integrate AI models into products and services.Optimize and tune AI models for performance, scalability, and reliability.Stay updated with the latest advancements in AI and machine learning technologies and incorporate them into projects where applicable.Work on data pre-processing, feature engineering, and data transformation to prepare datasets for model training.Debug, troubleshoot, and resolve issues related to AI models and pipelines.Participate in code reviews, testing, and deployment processes to ensure high-quality code and model accuracy.Document AI models, workflows, and processes to ensure reproducibility and knowledge sharing across the team. Requirements:2+ years of hands-on experience in AI development, including machine learning, deep learning, and natural language processing.Understanding of MLOps and experience with model deployment, monitoring, and maintenance.Knowledge of computer vision, reinforcement learning, or other advanced AI techniques.Experience with data manipulation, data visualization, and statistical analysis.Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models. How to Apply: If you are excited about the potential of AI to transform industries and want to be part of a forward-thinking team, we’d love to hear from you! Please send your resume to careers@appsteamtechnologies.com with the subject line "AI Developer Application"Preferred SkillsPython and R TensorFlow / PyTorch YOLO Natural Language Processing (NLP) Model Deployment (Docker, Kubernetes) Version Control (Git) Big Data Tools (Apache Kafka, Flink, and Cassandra) Hadoop SQL NoSQL