Bengaluru Karnataka India Job Type Full Time About the Role Qualifications - External Responsibilities Partners with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions and actionable recommendations across the organization Coordinate with business teams to monitor outcomes and refine improve the machine learning models Work across the spectrum of statistical modelling including supervised unsupervised deep learning techniques to apply the right level of solution to the right problem Collaborate share best practices with data and software engineers to enable consistent deployment of high-quality models that will scale across the company s ecosystem Own the code review process to ensure stringent coding guidelines are met by other data scientists data engineers Mentor lead Data Science engineers in choosing the right machine learning approach models utilizing open source languages such as R Python etc Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a easy and clear manner Track emerging developments w r t technology tools practices etc in the open source data science machine learning chatbot domain and leverage same for Schneider Electric Build frameworks leveraging APIs to industrialize AI models across the organization Adhere to stringent quality assurance and documentation standards using version control and code repositories e g Git GitHub Markdown Requirements and Skills You should have bachelor s or Master s degree in Computer Science Statistics or Mathematics Informatics Information Systems or another quantitative field You should have 7 years of experience in solving real life complex business problems using machine learning Hands-on experience in deploying these machine learning solutions to production is mandatory In depth understanding of NLP LLM Generative AI RAG application development In-depth understanding and modeling experience in supervised unsupervised reinforcement and deep learning models hands-on knowledge of data wrangling data cleaning preparation dimensionality reduction is required Knowledge of vector algebra statistical and probabilistic modelling is highly desirable Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus Experience in major machine learning frameworks such as Pytorch Scikit-Learn Tensorflow Pandas SparkML etc Fluency in programming skills such as Python R or other equivalent languages Familiarity with databases like MySQL Oracle SQL Server NoSQL etc is desirable Experience working with Amazon SageMaker or Azure ML Studio for deployments is required Experience in data visualization software such as Tableau ELK etc is a plus Strong analytical and critical thinking skills You should also have a business mindset swift to identify risk situations and opportunities and able to generate creative solutions to business problems Effective communication skills written and verbal to properly articulate complicated statistical models reports to management and other IT development partners RequirementsQualifications - ExternalResponsibilitiesPartners with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions and actionable recommendations across the organization Coordinate with business teams to monitor outcomes and refine improve the machine learning models Work across the spectrum of statistical modelling including supervised unsupervised deep learning techniques to apply the right level of solution to the right problem Collaborate share best practices with data and software engineers to enable consistent deployment of high-quality models that will scale across the company s ecosystem Own the code review process to ensure stringent coding guidelines are met by other data scientists data engineers Mentor lead Data Science engineers in choosing the right machine learning approach models utilizing open source languages such as R Python etc Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner Track emerging developments w r t technology tools practices etc in the open source data science machine learning chatbot domain and leverage same for Schneider Electric Build frameworks leveraging APIs to industrialize AI models across the organization Adhere to stringent quality assurance and documentation standards using version control and code repositories e g Git GitHub Markdown Requirements and SkillsYou should have bachelor s or Master s degree in Computer Science Statistics or Mathematics Informatics Information Systems or another quantitative field You should have 7 years of experience in solving real life complex business problems using machine learning Hands-on experience in deploying these machine learning solutions to production is mandatory In depth understanding of NLP LLM Generative AI RAG application development In-depth understanding and modeling experience in supervised unsupervised reinforcement and deep learning models hands-on knowledge of data wrangling data cleaning preparation dimensionality reduction is required Knowledge of vector algebra statistical and probabilistic modelling is highly desirable Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus Experience in major machine learning frameworks such as Pytorch Scikit-Learn Tensorflow Pandas SparkML etc Fluency in programming skills such as Python R or other equivalent languages Familiarity with databases like MySQL Oracle SQL Server NoSQL etc is desirable Experience working with Amazon SageMaker or Azure ML Studio for deployments is required Experience in data visualization software such as Tableau ELK etc is a plus Strong analytical and critical thinking skills You should also have a business mindset swift to identify risk situations and opportunities and able to generate creative solutions to business problems Effective communication skills written and verbal to properly articulate complicated statistical models reports to management and other IT development partners About the Company Cigres Technologies Private Limited is a technology consulting and services company that focuses on helping clients resolve their significant digital problems and enabling radical digital transformation using multiple technologies on premise or in the cloud The company was founded with the goal of leveraging cutting-edge technology to deliver innovative solutions to clients across various industries

📌 Lead Data Scientist (Karnataka)
🏢 Cigres Technologies
📍 Karnataka