HCL Technologies
SOLUTION ARCHITECT
HCL Technologies, Texas City, Texas, us, 77592
Job Description (Posting).
Responsibilities Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique andor technology with consideration to data limitations, application, and business needs. Build various ML Models within the Model guidelines and framework. Consults with peers for guidance, as needed. Translates business requirements into specific analytical questions, build ML Models and present model outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AIML. Collaborate with data governance teams to ensure compliance with regulatory requirements and industry and legal standards related to data quality and privacy. Able to identify GenAI use cases given in various business scenarios and come up with possible solutions. Familiar with various GenAl technologies, Prompt Engineering, RAG etcSkills Qualifications 10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles Master s degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science) Experience in Building and validating statistical, machine learning, and other advanced analytics models. Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics. Experience in Data Mining, Python, R, SQL, and familiarity with ML technologies Experience in using ML Libraries. Working Experience in Domino Data Lab, AWS Sagemaker, Snowflake are a plus Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data. Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. (1.) To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domainortechnology expertise, and driving successful implementations that propel strategic initiatives. (2.) To spearhead the architecture, design, and development (through a high-performing team) of innovative solutions for productorproject and sustenance delivery, ensuring alignment with strategic objectives. (3.) To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements (4.) To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance orcompliance measures. (5.) To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
Responsibilities Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique andor technology with consideration to data limitations, application, and business needs. Build various ML Models within the Model guidelines and framework. Consults with peers for guidance, as needed. Translates business requirements into specific analytical questions, build ML Models and present model outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AIML. Collaborate with data governance teams to ensure compliance with regulatory requirements and industry and legal standards related to data quality and privacy. Able to identify GenAI use cases given in various business scenarios and come up with possible solutions. Familiar with various GenAl technologies, Prompt Engineering, RAG etcSkills Qualifications 10 to 12 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles Master s degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science) Experience in Building and validating statistical, machine learning, and other advanced analytics models. Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics. Experience in Data Mining, Python, R, SQL, and familiarity with ML technologies Experience in using ML Libraries. Working Experience in Domino Data Lab, AWS Sagemaker, Snowflake are a plus Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data. Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. (1.) To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domainortechnology expertise, and driving successful implementations that propel strategic initiatives. (2.) To spearhead the architecture, design, and development (through a high-performing team) of innovative solutions for productorproject and sustenance delivery, ensuring alignment with strategic objectives. (3.) To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements (4.) To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance orcompliance measures. (5.) To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated