Data Scientist

We are Looking for just Immediate joiner. (If you can join in a week then only apply) Work Mode: Hybrid Experience: 5+ years Mandatory Institute-IIT ,IIM ,and IIIT. About the Role Mandate skills : Python, RAG, LLM, NLP, AWS, MlOps, Machine Learning, Deep Learning, Generative AI Responsibilities: Help design and build the next iteration of process automation in Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. - Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. - Act as an expert and evangelist in the areas of data mining, machine learning, statistics, and predictive analysis and modeling. Qualifications: - MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. - Minimum of 5 years related professional experience. Required Skills: - Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We should have expert-level knowledge in one or more of these areas. - Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. - Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. - Programming experience with SQL, shell script, Python, etc. - Knowledge of and ideally some experience with MLOps will be preferred. - Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. - Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. - Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Skills: - Development experience with Java and Scala - Development experience with Docker - Development experience with GIS data - Development experience with NoSQL (i.e. DynamoDB) - Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture.