Data Scientist- AI/ML

<strong>Skills:<br></strong>timeseries forecasting, regression Model, Classification Model, Python, Data analysis, Panda, Numpy, Matplot Lib,<br><br><strong>Role Summary: </strong>Looking for one data scientist engineer with Strong experience in AI/ML, Data collection preprocessing, estimation, Architecture creation<br><br><ul><li>Exp- 6 to 10 Years</li><li>Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week</li><li>6 Months Contract+ Extendable.<br><br></li></ul><strong>If Interested can share your resume at heena@aliqan.com<br><br></strong><strong>Responsibility<br><br></strong><ul><li>Model Development: Design and implement ML models to tackle complex business challenges.</li><li>Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.</li><li>Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods.</li><li>Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.</li><li>Deployment: Deploy ML models in production, monitor performance for reliability.</li><li>Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.</li><li>Research: Stay updated on ML/AI advancements, contribute to internal knowledge.</li><li>Documentation: Maintain comprehensive documentation for all ML models and processes.<br><br></li></ul>Qualification - Bachelor's or masters in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years.<br><br><strong>Desirable Skills<br><br></strong><strong>Must Have:<br><br></strong><ul><li>1. Experience in timeseries forecasting, regression Model, Classification Model</li><li>2. Python , R, Data analysis</li><li>3. Large size data handling with Panda , Numpy and Matplot Lib</li><li>4. Version Control: Git or any other</li><li>5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras</li><li>6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis</li><li>7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering</li><li>Estimation<br><br></li></ul><strong>Good to Have<br><br></strong><ul><li>Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.</li><li>Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.</li><li>BFSI and banking domain</li></ul>