Company Description
HCL Software is a division of HCL Technologies (HCL) that operates its primary software business. It develops, markets, sells, and supports over 20 product families in the areas of Customer Experience, Digital Solutions, Security & Automation and DevOps. Its mission is to drive ultimate customer success with their IT investments through relentless innovation of its products.
As Data Scientist / Researchers you will be responsible for leveraging the established architecture disciplines to help ensure that business strategies align with powerful capabilities of AI / ML to achieve business objectives consistently and cost effectively.
We are looking for experience of 10 to 15 years only. Please apply only if you match the experience level
Location- Bangalore and Noida.
Please share CV to monica_sharma@hcl-software.com with the below details :
Total Experience-
Current CTC-
Expected CTC-
Notice Period-
Main Responsibilities
- Propose solutions and strategies to tackle business challenges in AI / ML product
- Operationalizing and architecting ML / AI solutions
Qualifications, Education and Experience :
Phd, Masters or Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics with at least 10+ years in ML / AIAbility to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.Proven ability to rationalize disparate data sources and the ability to intuit the large picture within a datasetExperience in solving client's analytics problems and effectively communicating results and methodologiesSoftware development skills in one or more scripting language preferably python, and common ML tools (Weka, R, RapidMiner, KNIME, scikit, AzureML, Sagemaker, ModelBuilder etc.)Familiarity with ML tools and packages like OpenNLP, Caffe, TensorFlow etc.Knowledge of MLOps pipelineKnowledge of machine learning and data mining techniques in one or more areas of statistical modeling methodsAnomaly detectionRegression, classification, clusteringDeep learningSurvival analysisSimilarity and recommendationForecastingStrong oral and written communication skills, including presentation skillsStrong problem solving and troubleshooting skills