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Role Summary:
We are looking for candidates to build and implement analytics solutions to our esteemed clients. The incumbent should have strong aptitude for numbers, experience in any domain and willingness to learn some cutting edge technologies.
Roles & Responsibilities:
• Understand the requirements from the business and translate it into an appropriate technical requirements.
• Creating a detailed business analysis, outlining problems, opportunities and solutions for a business.
• Perform activities related to data wrangling, model building and model deployment. • Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.
• Lead initiatives to improve the team morale, camaraderie, and collaboration
Must Have Skills:
• Hands-on experience in Data Science, Generative AI, RAG Implementation, Agentic AI, Python/R, PySpark/SparkR Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning.
• Experience in building and implementing ML driven business transformation use cases such as Demand Forecasting, Price/Promo Optimization, etc.
• Hands-On MS Azure knowledge is preferred.
• Scaling ML Models from POC phase.
• List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup
• Ability to communicate actionable insights using data, often to a non-technical audience.
• Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation
• Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage.
• Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes.
• A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement.
Job ID: 147532737
Skills:
prophet , Distributed Computing, Pyspark, Tensorflow, Pytorch, Numpy, Python, AWS, Sql, Pandas, Arima, Spark, Azure, ETS, scikit-learn, Bias, large-scale time series datasets, CI CD, adaptive forecasting systems, performance KPIs, forecasting techniques, ML-based forecasting, backtesting, cloud platforms, MAPE, auto-retraining, MAE, causal models, hierarchical forecasting
Skills:
MLops, Gcp, Data Science, Databricks, Azure, Python, AWS, Generative AI, AWS Bedrock, Azure Open AI, Vertex AI
Skills:
data wrangling , Tensorflow, Pytorch, Python, Visualization, AWS Bedrock, scikit-learn, GCP Vertex AI, Analysis
Skills:
Cassandra, Pyspark, Svm, Tableau, Tensorflow, Numpy, Python, Hadoop, HBase, Sql, Artificial Neural Networks, Naive Bayes, Hive, Pandas, XGBoost, Spark, Databricks, Keras, MongoDB, Aws S3, machine learning techniques, k-NN, Decision Forests, Map Reduce, NoSQL databases, Scikit-learn, SageMaker, Athena
Skills:
Machine Learning, Clustering, Sql, Random Forest, XGBoost, Python, Model Tuning, Feature Engineering, LightGBM, Model Evaluation, Regression, Feature Selection, Hyperparameter Optimization, Classification, Tree-based methods, Big Data Tools
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