Data Scientist - Machine Learning and AI GenAI Focus

Job Description

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and deploying machine learning models to solve real-world business challenges. Your key responsibilities will include:- Working on the end-to-end machine learning lifecycle, which involves data preprocessing, model building, evaluation, deployment, and monitoring.- Implementing and managing MLOps pipelines to create scalable and reproducible workflows.- Utilizing tools like MLflow for experiment tracking, model versioning, and lifecycle management.- Developing and integrating Generative AI (GenAI) solutions such as LLM-based applications.- Collaborating with cross-functional teams including engineering, product, and business to translate requirements into AI solutions.- Optimizing model performance and ensuring production stability.- Staying updated with the latest advancements in AI, machine learning, and Generative AI ecosystems.To qualify for this role, you should have:- 4 years of experience in Data Science and Machine Learning.- Strong programming skills in Python.- Hands-on experience with various ML modeling techniques including supervised, unsupervised, and NLP.- A solid understanding of MLOps practices and tools.- Experience with MLflow or similar model lifecycle tools.- Practical experience in Generative AI (GenAI), including working with LLMs.- Familiarity with libraries and frameworks such as Scikit-learn, TensorFlow, and PyTorch.- Strong understanding of data structures, algorithms, and statistics.- Experience with cloud platforms like AWS, GCP, or Azure is a plus.Join our team and be part of cutting-edge projects that leverage machine learning to drive business success! As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and deploying machine learning models to solve real-world business challenges. Your key responsibilities will include:- Working on the end-to-end machine learning lifecycle, which involves data preprocessing, model building, evaluation, deployment, and monitoring.- Implementing and managing MLOps pipelines to create scalable and reproducible workflows.- Utilizing tools like MLflow for experiment tracking, model versioning, and lifecycle management.- Developing and integrating Generative AI (GenAI) solutions such as LLM-based applications.- Collaborating with cross-functional teams including engineering, product, and business to translate requirements into AI solutions.- Optimizing model performance and ensuring production stability.- Staying updated with the latest advancements in AI, machine learning, and Generative AI ecosystems.To qualify for this role, you should have:- 4 years of experience in Data Science and Machine Learning.- Strong programming skills in Python.- Hands-on experience with various ML modeling techniques including supervised, unsupervised, and NLP.- A solid understanding of MLOps practices and tools.- Experience with MLflow or similar model lifecycle tools.- Practical experience in Generative AI (GenAI), including working with LLMs.- Familiarity with libraries and frameworks such as Scikit-learn, TensorFlow, and PyTorch.- Strong understanding of data structures, algorithms, and statistics.- Experience with cloud platforms like AWS, GCP, or Azure is a plus.Join our team and be part of cutting-edge projects that leverage machine learning to drive business success!

Keyskills :
Data ScienceMachine LearningPythonNLPMLOpsGenerative AIScikitlearnTensorFlowPyTorch