AI ML Engineer

As an AI/ML Engineer at our company, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data for predictive and recommendation purposes. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Key Responsibilities: - Collaborate with software engineers to seamlessly integrate Generative AI models into production systems - Evaluate application cases and assess the problem-solving potential of AI/ML algorithms, ranking them based on success likelihood - Comprehend data through exploration and visualization, identifying discrepancies in data distribution - Work on both structured and unstructured data to develop various algorithms using statistical modeling procedures - Build and maintain scalable machine learning solutions in production, leveraging cloud platforms such as AWS for training and deploying large-scale solutions - Manage the ModelOps framework and understand CI/CD processes for product deployment - Collaborate with data engineers to build data and model pipelines while ensuring accuracy - Take complete ownership of assigned projects and work in Agile environments - Proficient in using project tracking tools like JIRA or equivalent platforms Qualifications Required: - Experience in working with AI/ML algorithms and deep learning techniques - Proficiency in data exploration, visualization, and statistical modeling - Strong knowledge of cloud platforms for training and deploying machine learning solutions, preferably AWS - Familiarity with ModelOps framework and CI/CD processes - Ability to collaborate effectively with cross-functional teams and take ownership of projects - Experience with Agile methodologies and project tracking tools like JIRA This job will offer you the opportunity to work on cutting-edge AI/ML projects and collaborate with talented professionals to drive innovation in the field.,