Ai Ml Engineer

2 days ago


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Exp - 3 -5 years Role - AI ML EngineerRemote until offices resumes .Key ResponsibilitiesDevelop and deploy machine learning models using libraries such as Pandas, scikit-learn, XGBoost,Tensorflow,Pytorch on Cloud platforms to deliver scalable and reliable AI solutions..Proficiency in Python programming languages.Proficiency in SQL for data management.Experience on ML algorithms like linear regression,SVM,XGBoost and clustering algorithms.Predictive Modelling & Time Series Analysis: Create predictive models and perform time series analysis to forecast trends and insights.Translate complex ideas and concepts into actionable AI/ML projects.Analyse and generate insights from large text corpora using Natural Language Processing (NLP) techniques.Leverage experience with Azure OpenAI for developing and deploying AI solutions.Experience with cloud platforms(AWS/Azure/GCP)Real time experience of 1-2 years with Generative AI and large language models (LLMs) for prompt engineering and Retrieval-Augmented Generation (RAG) approaches.Experience or knowledge in Optical Character Recognition (OCR) and computer vision is a plus.Knowledge on MLOps using model versioning and containerization is a plus.Required Qualifications.3-5 years in AI/ML with a focus on traditional machine learning techniques and libraries .Machine Learning: Proficiency in Pandas, scikit-learn, and XGBoost.Strong communication and interpersonal skills with the ability to communicate to clients to understand and translate requirements into technical projectsKnowledge on MLOps using model versioning and containerization is a plus.Desired SkillsStrong analytical and problem-solving skills.Excellent communication skills, both written and verbal.Ability to work effectively in a team-oriented environment.Strong aptitude for innovation and creativity in solving complex problems.EducationDegree: Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field.Please share your resume on


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