We are seeking a passionate and innovative AI/ML Developer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate will have experience in data analysis, machine learning model development, generative AI technologies, and cloud-based AI services. You will work closely with cross-functional teams to build intelligent applications that solve real-world business challenges.

Job Responsibilities:-

Design, develop, train, test, and deploy machine learning models and AI-powered applications.
Build and optimize predictive, classification, recommendation, and generative AI solutions.
Develop AI-driven features for web and mobile applications.
Work with large datasets to perform data cleaning, preprocessing, feature engineering, and analysis.
Integrate AI/ML models into production environments through APIs and cloud platforms.
Fine-tune and deploy Large Language Models (LLMs) and Generative AI applications.
Implement Retrieval-Augmented Generation (RAG) systems and AI chatbots.
Collaborate with developers, business analysts, and stakeholders to understand project requirements.
Monitor model performance and continuously improve accuracy and efficiency.
Stay updated with emerging AI technologies, frameworks, and industry trends.
Maintain technical documentation and follow development best practices.

Job Requirement:-

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong programming skills in Python.
Knowledge of Supervised and Unsupervised Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Reinforcement Learning
Experience with data manipulation tools Pandas, NumPy, SQL
Familiarity with cloud platforms AWS, Google Cloud Platform (GCP), Microsoft Azure
Experience building and consuming REST APIs.
Strong understanding of model evaluation and optimization techniques.
Knowledge of Git and version control systems.
Experience with Generative AI technologies.
Familiarity with Docker, Kubernetes, and CI/CD workflows.
Experience with data visualization tools and analytics platforms.