Search Results: 16 vacancies
...Interface Specialist
Organization
Bharti Institute of Public Policy (BIPP), Indian School of Business
Location
Hyderabad
Project Team
Forest Governance
Reports to
Executive Director, BIPP-ISB
Terms of Employment
Fixed Tenure/Full time
Joining
Rolling basis
About BIPP...
...plus.
Knowledge of Quest Product Suite - Active Roles Server (ARS), Reporter, Change Auditor, Recovery Manager for Active Directory Forest Edition (RMAD FE) a plus.
Strong critical thinking and problem-solving, and the ability to debug complex-cross systems problems,...
...of core data science experience in one or more below areas:
~ Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering)
~ Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks...
...have)- Hands-on Experience in Planning, Design & Deployment of Exchange 2016 / 2019, Exchange Online and Office 365 onboarding- Cross Forest Mailbox Migration- Windows PowerShell for automation of day-to-day administrative and Office 365 configuration tasks- Basic understanding...
...handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.
· Experience of working with Sequence Models in Deep Learning, like LSTMs, etc. especially in the context of Time Series Forecasting...
...deployment.- Demonstrate a strong understanding of classical machine learning algorithms (e.g., linear regression, decision trees, random forests) and their applicability to different problems.- Explain the nuances of chosen ML algorithms and justify their selection based on...
...models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms- Develop key performance indicators and create visualisations of the data.-...
...experience in a Data Scientist/Engineer role.
3. Knowledge and experience in statistical and data mining techniques: Regression Random Forest Boosting text mining neural networks clustering.
4. Solid understanding of statistical concepts and methodologies.
5. Excellent...
...traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods.
Experience in Big Data technologies like Hadoop, Spark, Hive, Pig, Presto, Cassandra, Kafka and...
Rs 12 - 16 lakhs p.a.
...in data wrangling and data analysis with Pandas and Numpy E:Should have 3 years of Working experience with ML algorithms like Random Forest, Linear Regression, Logistic Regression, Decision Trees, K Means etc Professional Attributes : A: Should have good communication and analytical...
Rs 12 - 18 lakhs p.a.
...and Deep Learning
~ Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, CNNs, etc.
~ Hand-on experience on building DL models from scratch for different NLP problems like Text Classification, NER etc....
...modeling techniques including linear/logistic regression (advanced predictor selection techniques) classification (decision trees random forests) Support Vector Machines (SVMs) neural networks etc.
Demonstrated experience with database design data models and integration/...
...including statistical tests, distributions, regression, etc.; data mining tools; and m achine learning methodologies like decision forests, k-nearest neighbors, Naive Bayes, SVM, etc.
· Hands on experience with d ata visualization tools such as powerbi, tableau, matplotlib...
...Active Directory and GPO Configuration and maintenance
Experience of User migration, application and services across AD Domains/Forests
Good experience on Active Directory Infra.
Good experience on AD group policy
Patch management on all Servers (Microsoft & Windows...
...and Non-Parametric statistics .- Hands-on experience with Numpy, Pandas , Sklearn , Tensorflow , Keras , Pytorch, XGBoost, GBM , Random Forest etc.- Ability to address a deep learning problem with feature engineering and modeling steps with CNN , RNN , LSTM , GAN etc.- Develop...
...exposure to Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (Trees, Random Forest, Boosting, SVM, CART, etc.)
• Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering,...
