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Experience Level
Experience
Qualifications
We are seeking candidates with:A strong background in data modeling and data warehousing concepts. Experience with SQL and data visualization tools. Proficiency in programming languages like Python or R. Excellent problem-solving skills and attention to detail. A degree in Computer Science, Information Technology, or a related field.
About the job
Experian is hiring a Data Modeler II for its Advanced Analytics team in Mumbai. This role focuses on turning complex data into clear, useful insights that support business decisions.
What You Will Do
Work with teams across the company to gather and clarify data requirements
Design and build scalable data models and architectures
Help maintain data integrity and make sure information is accessible to those who need it
About the Team
Join a group committed to using analytics to drive innovation and improve how decisions are made at Experian.
About Experian
Experian is a leading global information services company, providing data and analytical tools to clients around the world. Our mission is to help individuals and businesses manage their data with confidence. Join us and be a part of a company that values innovation, diversity, and collaboration.
Role Overview Experian is hiring a Data Modeler II for its Advanced Analytics team in Mumbai. This role focuses on turning complex data into clear, useful insights that support business decisions. What You Will Do Work with teams across the company to gather and clarify data requirements Design and build scalable data models and architectures Help maintain data integrity and make sure information is accessible to those who need it About the Team Join a group committed to using analytics to drive innovation and improve how decisions are made at Experian.
Role overview Experian is seeking a Senior Data Modeler based in Mumbai. This role centers on designing and building data models that power analytics and business intelligence efforts. Collaboration is key, as the Senior Data Modeler partners with teams throughout the company to turn complex information into insights that inform strategy and decision-making. What you will do Design and implement data models that support a range of analytical solutions Collaborate with cross-functional teams to gather data requirements and align with business objectives Transform large, complex datasets into organized structures that make insights accessible and actionable Contribute to data-driven initiatives and help strengthen the organization’s use of analytics
We are seeking an experienced Lead Data Modeler specializing in Teradata to join our dynamic team in Mumbai or Bangalore. This pivotal role involves crafting comprehensive data models that align with business needs, ensuring optimal data architecture and performance.As a Lead Data Modeler, you will primarily work with Teradata, implementing industry-standard models such as iLDM. You will engage deeply with stakeholders to understand their requirements, translate them into Conceptual Data Models, and customize models to fit various business scenarios.Your responsibilities will also include converting business definitions into Logical Data Models (LDM) and Physical Data Models (PDM), as well as designing technical solutions for data modeling standards and end-to-end mapping processes.
Join our dynamic team at Ramboll as a BIM Modeler specializing in Electrical for Data Centers. In this pivotal role, you will leverage your expertise in Building Information Modeling (BIM) to create detailed and accurate electrical models that support our innovative data center projects.Your responsibilities will include collaborating with engineers and architects to develop and refine electrical designs, ensuring compliance with industry standards, and contributing to the overall success of our projects.
Join Nium as a Data & Analytics Manager and lead the charge in transforming data into actionable insights. In this pivotal role, you will oversee data analysis initiatives, guiding a talented team to innovate and optimize our data strategies. Utilize cutting-edge analytics tools to drive business growth and improve decision-making processes. Collaborate with cross-functional teams to implement data-driven solutions that enhance our client's experience.
Join Dun & Bradstreet and Shape the FutureAt Dun & Bradstreet, we harness the transformative power of data to build a brighter future. As a world-renowned leader in business decisioning data and analytics, we empower companies across the globe to thrive, mitigate risks, and innovate effectively. With a legacy spanning over 180 years, businesses have relied on us to turn challenges into opportunities. Our diverse and global team fosters creativity, collaboration, and innovative thinking. Are you ready to make a significant impact? Explore exciting career opportunities at dnb.com/careers.
Join Nium as a Data & Analytics ConsultantAt Nium, we are at the forefront of revolutionizing global payments with our state-of-the-art real-time cross-border payment solutions. Our mission is to create a seamless payments infrastructure that empowers banks, fintechs, and businesses across the globe to manage their funds efficiently and instantly. With a payout network that supports 100 currencies and spans over 190 countries, we are transforming how businesses transact across borders. As a rapidly growing company with regulatory licenses in more than 40 countries, we are committed to delivering innovative financial solutions that meet the needs of our clients.About the Role:The Data & Analytics Consultant is responsible for driving data-driven decision-making across the organization. In this role, you will harness your expertise in data modeling, trend analysis, and actionable insights to enhance operational efficiency and support strategic initiatives. Collaborating with cross-functional teams, you will design and implement data solutions while contributing to data governance efforts to ensure data quality and effective communication of findings to stakeholders.
Role Overview Weekday's client is seeking a Lead Data Scientist for a full-time position based in Mumbai, Maharashtra, India. This leadership role calls for at least 8 years of experience in data science, with a strong track record in model development and business impact. Main Responsibilities Lead advanced analytics projects across the full data science lifecycle, from problem definition to solution delivery. Design, build, and implement scalable machine learning models that provide actionable insights and drive business outcomes. Collaborate with teams from product, engineering, marketing, and business to identify opportunities and translate them into analytical solutions. Guide the development of predictive and prescriptive models using both structured and unstructured data. Select appropriate algorithms, perform feature engineering, and validate models through rigorous testing. Apply a range of machine learning techniques, including supervised and unsupervised learning, ensemble methods, and advanced statistical modeling. Develop and deploy propensity models to predict customer behavior such as purchase likelihood, churn, conversion, and engagement. Support personalized marketing, customer segmentation, and revenue growth through data-driven modeling. Mentor and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Establish and uphold best practices for model governance, documentation, and lifecycle management. Requirements Minimum 8 years of experience in data science, with proven expertise in model building and development. Hands-on experience with propensity modeling in real-world business settings. Proficiency in a variety of machine learning approaches and statistical modeling techniques. Strong ability to translate business needs into analytical solutions. Experience mentoring and leading technical teams. Location and Employment Type Location: Mumbai, Maharashtra, India Job Type: Full-time
Role OverviewAs a Credit Data Scientist at Tyme, you will leverage data analytics, feature engineering, and experimentation to enhance credit decision-making and optimize portfolio performance across our diverse lending products and markets. Your role will encompass everything from data exploration to the deployment of production-ready features, alongside continuous monitoring and impact assessment.Key Responsibilities· Analyze customer, bureau, transactional, and repayment data to identify key risk factors, loss drivers, approval rates, and customer outcomes.· Develop and refine credit risk features and model inputs (such as behavioral signals and affordability proxies), collaborating closely with senior modellers and the engineering team.· Contribute to the advancement and enhancement of predictive models using cutting-edge machine learning techniques, focusing on robustness, stability, and deployment readiness.· Design, implement, and assess credit policy experiments (including cut-offs, limits, and pricing/risk trade-offs), followed by thorough post-implementation evaluations.· Establish monitoring mechanisms for model/policy performance and feature integrity (addressing drift, stability, segment performance, and data quality checks).· Assist in portfolio analytics by conducting vintage analyses, roll-rate assessments, migration tracking, early warning indicators, collections funnel analytics, and loss driver investigations.· Collaborate with the Data/Engineering teams to enhance data definitions, quality, lineage, and reproducibility of pipelines; document feature logic and assumptions effectively.· Contribute to the governance documentation, including model inputs, feature catalogs, monitoring evidence, and change logs.
Full-time|On-site|Bangalore, India; Gurgaon, India; Mumbai, India
About WPP MediaWPP is the trusted growth partner for the world’s leading brands. By harnessing exceptional talent, reliable data, and strategic partnerships—united under our innovative marketing platform, WPP Open—we assist clients in navigating change, seizing opportunities, and achieving transformative growth.WPP Media, as WPP's AI-driven media operating unit, integrates media, data, and partnerships to deliver tailored creative solutions at scale. With the connectivity of WPP Open and the power of Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.Role OverviewThe Analytics Manager plays a pivotal role in our analytics team, reporting directly to the Director of Analytics. This position involves designing, customizing, and maintaining platforms that facilitate business analytics and measurement. Candidates should possess outstanding communication skills, a client-centric mindset, and the ability to work effectively both independently and collaboratively with minimal supervision.The Analytics Manager will execute data manipulation and visualization, conduct quantitative data analyses, engage in problem-solving, perform statistical modeling, and develop and assess business cases.
Aarna HR Solutions Pvt Ltd is seeking a talented and creative 3D Artist / 3D Modeler to join our dynamic team in Mumbai. In this role, you will be responsible for creating stunning 3D models and visualizations that bring our projects to life.As a 3D Artist, you will collaborate with designers and developers to produce high-quality graphics for various applications, including games, animations, and simulations. Your artistic abilities and technical expertise will be essential in delivering innovative and engaging visual content.
Join Nielsen as a Data Analyst II specializing in Data Processing, where you will play a pivotal role in analyzing and processing data to support our clients' strategic decisions. Your analytical skills will be crucial in transforming raw data into actionable insights that drive business growth.
Role OverviewAs a Freelance Senior VFX Modeller at Outpost VFX, you will be instrumental in crafting breathtaking visual effects for film and television projects. Your unparalleled modelling expertise will aid in producing remarkable and lifelike 3D assets, significantly elevating the visual allure of our productions.Engage actively in dailies sessions, where you will both provide and receive constructive critiques, utilizing your analytical skills to address and overcome modelling-related technical hurdles.
Job Summary: Join our dynamic team at Jiostar as an Associate Director of Data Science, where you will spearhead innovative analytics initiatives across our research, marketing, scheduling, and sales departments. In this pivotal role, you will oversee the creation and implementation of cutting-edge machine learning models, harnessing vast and intricate datasets. Candidates must possess a robust background in data analysis, demonstrated expertise in developing and deploying machine learning algorithms, and a strong command of Python/R as well as statistical methodologies.
Join our dynamic team at Assystem as an HVAC BIM Modeler, where you will play a pivotal role in designing and implementing cutting-edge HVAC systems. This is an exciting opportunity to leverage your expertise in Building Information Modeling (BIM) to enhance project outcomes and ensure efficiency in our operations.
Join NielsenIQ as a Lead Data Scientist, where you will play a pivotal role in leveraging advanced data analytics to drive business decisions. You will collaborate with cross-functional teams to develop predictive models, interpret complex data sets, and provide insights that support strategic initiatives. This is an exciting opportunity for data enthusiasts looking to make a significant impact within a dynamic team.
Join our dynamic team at Weblee Technologies as a Data Visualization Engineer. In this role, you will leverage your expertise to transform complex data into meaningful insights through interactive and engaging visualizations. You will work closely with data analysts and stakeholders to understand their needs and deliver actionable visual solutions that drive data-informed decisions.
We are seeking a talented and innovative Architect II to join our dynamic team at CanonDesign in Mumbai. In this role, you will have the opportunity to work on diverse projects that challenge your creativity and technical skills. You will collaborate with a team of experienced professionals to design and implement architectural solutions that meet client needs and exceed expectations.
As a Senior Data Acquisition Specialist at Experian, you will play a pivotal role in leveraging data to drive business insights and enhance decision-making processes. You will be responsible for acquiring, managing, and analyzing large datasets that aid in developing innovative solutions for our clients. Your expertise in data strategies and analytics will be crucial in ensuring the integrity and quality of our data assets.
Leverage predictive modeling techniques to enhance power generation, optimize pricing, reduce costs, and elevate customer experiences across various business outcomes.Demonstrated expertise in statistical modeling, machine learning, probability theory, algorithms, data mining, unstructured data analytics, and natural language processing.Proficient in advanced machine learning techniques, including Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, Deep Learning, Neural Networks, Topic Modeling, Multivariate Statistics, K-NN, and Naïve Bayes.Familiarity with widely used Deep Learning architectures, simulation strategies, scenario analysis, constraint optimization, anomaly detection, semi-supervised and unsupervised learning algorithms using deep learning.Experience in optimization methods such as Linear Programming, Genetic Algorithms, Simulated Annealing, and Monte Carlo Simulation.Hands-on experience with emerging technologies like deep learning, NLP, NLG, image processing, recommendation systems, chatbots, voice AI, and video AI.Proficient in managing the end-to-end data science pipeline: from problem scoping, data discovery and extraction, exploratory data analysis (EDA), modeling, evaluation, insights generation, visualizations, to continuous improvement, maintenance, and tracking business value and impact.Daily engagement in discussions involving various algorithms and approaches.Oversee the complete software development lifecycle, including hands-on coding, code reviews, testing, deployment, and documentation. Familiarity with Agile SCRUM and MLOps is highly preferred.Develop scalable and reusable assets and accelerators while implementing best practices in machine learning.Collaborate directly with internal technical teams to ensure seamless and effective integration of solutions.Conduct market and industry trend analysis in technology, proactively identifying opportunities to propose optimal solutions. Engage in ongoing research on emerging ML techniques and best practices.Responsible for coding, testing, debugging, evaluating solution/technology options (including Cloud), and documenting the application development process.Future migration of current analytics applications and pipelines to Cloud environments.
Role Overview Experian is hiring a Data Modeler II for its Advanced Analytics team in Mumbai. This role focuses on turning complex data into clear, useful insights that support business decisions. What You Will Do Work with teams across the company to gather and clarify data requirements Design and build scalable data models and architectures Help maintain data integrity and make sure information is accessible to those who need it About the Team Join a group committed to using analytics to drive innovation and improve how decisions are made at Experian.
Role overview Experian is seeking a Senior Data Modeler based in Mumbai. This role centers on designing and building data models that power analytics and business intelligence efforts. Collaboration is key, as the Senior Data Modeler partners with teams throughout the company to turn complex information into insights that inform strategy and decision-making. What you will do Design and implement data models that support a range of analytical solutions Collaborate with cross-functional teams to gather data requirements and align with business objectives Transform large, complex datasets into organized structures that make insights accessible and actionable Contribute to data-driven initiatives and help strengthen the organization’s use of analytics
We are seeking an experienced Lead Data Modeler specializing in Teradata to join our dynamic team in Mumbai or Bangalore. This pivotal role involves crafting comprehensive data models that align with business needs, ensuring optimal data architecture and performance.As a Lead Data Modeler, you will primarily work with Teradata, implementing industry-standard models such as iLDM. You will engage deeply with stakeholders to understand their requirements, translate them into Conceptual Data Models, and customize models to fit various business scenarios.Your responsibilities will also include converting business definitions into Logical Data Models (LDM) and Physical Data Models (PDM), as well as designing technical solutions for data modeling standards and end-to-end mapping processes.
Join our dynamic team at Ramboll as a BIM Modeler specializing in Electrical for Data Centers. In this pivotal role, you will leverage your expertise in Building Information Modeling (BIM) to create detailed and accurate electrical models that support our innovative data center projects.Your responsibilities will include collaborating with engineers and architects to develop and refine electrical designs, ensuring compliance with industry standards, and contributing to the overall success of our projects.
Join Nium as a Data & Analytics Manager and lead the charge in transforming data into actionable insights. In this pivotal role, you will oversee data analysis initiatives, guiding a talented team to innovate and optimize our data strategies. Utilize cutting-edge analytics tools to drive business growth and improve decision-making processes. Collaborate with cross-functional teams to implement data-driven solutions that enhance our client's experience.
Join Dun & Bradstreet and Shape the FutureAt Dun & Bradstreet, we harness the transformative power of data to build a brighter future. As a world-renowned leader in business decisioning data and analytics, we empower companies across the globe to thrive, mitigate risks, and innovate effectively. With a legacy spanning over 180 years, businesses have relied on us to turn challenges into opportunities. Our diverse and global team fosters creativity, collaboration, and innovative thinking. Are you ready to make a significant impact? Explore exciting career opportunities at dnb.com/careers.
Join Nium as a Data & Analytics ConsultantAt Nium, we are at the forefront of revolutionizing global payments with our state-of-the-art real-time cross-border payment solutions. Our mission is to create a seamless payments infrastructure that empowers banks, fintechs, and businesses across the globe to manage their funds efficiently and instantly. With a payout network that supports 100 currencies and spans over 190 countries, we are transforming how businesses transact across borders. As a rapidly growing company with regulatory licenses in more than 40 countries, we are committed to delivering innovative financial solutions that meet the needs of our clients.About the Role:The Data & Analytics Consultant is responsible for driving data-driven decision-making across the organization. In this role, you will harness your expertise in data modeling, trend analysis, and actionable insights to enhance operational efficiency and support strategic initiatives. Collaborating with cross-functional teams, you will design and implement data solutions while contributing to data governance efforts to ensure data quality and effective communication of findings to stakeholders.
Role Overview Weekday's client is seeking a Lead Data Scientist for a full-time position based in Mumbai, Maharashtra, India. This leadership role calls for at least 8 years of experience in data science, with a strong track record in model development and business impact. Main Responsibilities Lead advanced analytics projects across the full data science lifecycle, from problem definition to solution delivery. Design, build, and implement scalable machine learning models that provide actionable insights and drive business outcomes. Collaborate with teams from product, engineering, marketing, and business to identify opportunities and translate them into analytical solutions. Guide the development of predictive and prescriptive models using both structured and unstructured data. Select appropriate algorithms, perform feature engineering, and validate models through rigorous testing. Apply a range of machine learning techniques, including supervised and unsupervised learning, ensemble methods, and advanced statistical modeling. Develop and deploy propensity models to predict customer behavior such as purchase likelihood, churn, conversion, and engagement. Support personalized marketing, customer segmentation, and revenue growth through data-driven modeling. Mentor and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Establish and uphold best practices for model governance, documentation, and lifecycle management. Requirements Minimum 8 years of experience in data science, with proven expertise in model building and development. Hands-on experience with propensity modeling in real-world business settings. Proficiency in a variety of machine learning approaches and statistical modeling techniques. Strong ability to translate business needs into analytical solutions. Experience mentoring and leading technical teams. Location and Employment Type Location: Mumbai, Maharashtra, India Job Type: Full-time
Role OverviewAs a Credit Data Scientist at Tyme, you will leverage data analytics, feature engineering, and experimentation to enhance credit decision-making and optimize portfolio performance across our diverse lending products and markets. Your role will encompass everything from data exploration to the deployment of production-ready features, alongside continuous monitoring and impact assessment.Key Responsibilities· Analyze customer, bureau, transactional, and repayment data to identify key risk factors, loss drivers, approval rates, and customer outcomes.· Develop and refine credit risk features and model inputs (such as behavioral signals and affordability proxies), collaborating closely with senior modellers and the engineering team.· Contribute to the advancement and enhancement of predictive models using cutting-edge machine learning techniques, focusing on robustness, stability, and deployment readiness.· Design, implement, and assess credit policy experiments (including cut-offs, limits, and pricing/risk trade-offs), followed by thorough post-implementation evaluations.· Establish monitoring mechanisms for model/policy performance and feature integrity (addressing drift, stability, segment performance, and data quality checks).· Assist in portfolio analytics by conducting vintage analyses, roll-rate assessments, migration tracking, early warning indicators, collections funnel analytics, and loss driver investigations.· Collaborate with the Data/Engineering teams to enhance data definitions, quality, lineage, and reproducibility of pipelines; document feature logic and assumptions effectively.· Contribute to the governance documentation, including model inputs, feature catalogs, monitoring evidence, and change logs.
Full-time|On-site|Bangalore, India; Gurgaon, India; Mumbai, India
About WPP MediaWPP is the trusted growth partner for the world’s leading brands. By harnessing exceptional talent, reliable data, and strategic partnerships—united under our innovative marketing platform, WPP Open—we assist clients in navigating change, seizing opportunities, and achieving transformative growth.WPP Media, as WPP's AI-driven media operating unit, integrates media, data, and partnerships to deliver tailored creative solutions at scale. With the connectivity of WPP Open and the power of Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.Role OverviewThe Analytics Manager plays a pivotal role in our analytics team, reporting directly to the Director of Analytics. This position involves designing, customizing, and maintaining platforms that facilitate business analytics and measurement. Candidates should possess outstanding communication skills, a client-centric mindset, and the ability to work effectively both independently and collaboratively with minimal supervision.The Analytics Manager will execute data manipulation and visualization, conduct quantitative data analyses, engage in problem-solving, perform statistical modeling, and develop and assess business cases.
Aarna HR Solutions Pvt Ltd is seeking a talented and creative 3D Artist / 3D Modeler to join our dynamic team in Mumbai. In this role, you will be responsible for creating stunning 3D models and visualizations that bring our projects to life.As a 3D Artist, you will collaborate with designers and developers to produce high-quality graphics for various applications, including games, animations, and simulations. Your artistic abilities and technical expertise will be essential in delivering innovative and engaging visual content.
Join Nielsen as a Data Analyst II specializing in Data Processing, where you will play a pivotal role in analyzing and processing data to support our clients' strategic decisions. Your analytical skills will be crucial in transforming raw data into actionable insights that drive business growth.
Role OverviewAs a Freelance Senior VFX Modeller at Outpost VFX, you will be instrumental in crafting breathtaking visual effects for film and television projects. Your unparalleled modelling expertise will aid in producing remarkable and lifelike 3D assets, significantly elevating the visual allure of our productions.Engage actively in dailies sessions, where you will both provide and receive constructive critiques, utilizing your analytical skills to address and overcome modelling-related technical hurdles.
Job Summary: Join our dynamic team at Jiostar as an Associate Director of Data Science, where you will spearhead innovative analytics initiatives across our research, marketing, scheduling, and sales departments. In this pivotal role, you will oversee the creation and implementation of cutting-edge machine learning models, harnessing vast and intricate datasets. Candidates must possess a robust background in data analysis, demonstrated expertise in developing and deploying machine learning algorithms, and a strong command of Python/R as well as statistical methodologies.
Join our dynamic team at Assystem as an HVAC BIM Modeler, where you will play a pivotal role in designing and implementing cutting-edge HVAC systems. This is an exciting opportunity to leverage your expertise in Building Information Modeling (BIM) to enhance project outcomes and ensure efficiency in our operations.
Join NielsenIQ as a Lead Data Scientist, where you will play a pivotal role in leveraging advanced data analytics to drive business decisions. You will collaborate with cross-functional teams to develop predictive models, interpret complex data sets, and provide insights that support strategic initiatives. This is an exciting opportunity for data enthusiasts looking to make a significant impact within a dynamic team.
Join our dynamic team at Weblee Technologies as a Data Visualization Engineer. In this role, you will leverage your expertise to transform complex data into meaningful insights through interactive and engaging visualizations. You will work closely with data analysts and stakeholders to understand their needs and deliver actionable visual solutions that drive data-informed decisions.
We are seeking a talented and innovative Architect II to join our dynamic team at CanonDesign in Mumbai. In this role, you will have the opportunity to work on diverse projects that challenge your creativity and technical skills. You will collaborate with a team of experienced professionals to design and implement architectural solutions that meet client needs and exceed expectations.
As a Senior Data Acquisition Specialist at Experian, you will play a pivotal role in leveraging data to drive business insights and enhance decision-making processes. You will be responsible for acquiring, managing, and analyzing large datasets that aid in developing innovative solutions for our clients. Your expertise in data strategies and analytics will be crucial in ensuring the integrity and quality of our data assets.
Leverage predictive modeling techniques to enhance power generation, optimize pricing, reduce costs, and elevate customer experiences across various business outcomes.Demonstrated expertise in statistical modeling, machine learning, probability theory, algorithms, data mining, unstructured data analytics, and natural language processing.Proficient in advanced machine learning techniques, including Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, Deep Learning, Neural Networks, Topic Modeling, Multivariate Statistics, K-NN, and Naïve Bayes.Familiarity with widely used Deep Learning architectures, simulation strategies, scenario analysis, constraint optimization, anomaly detection, semi-supervised and unsupervised learning algorithms using deep learning.Experience in optimization methods such as Linear Programming, Genetic Algorithms, Simulated Annealing, and Monte Carlo Simulation.Hands-on experience with emerging technologies like deep learning, NLP, NLG, image processing, recommendation systems, chatbots, voice AI, and video AI.Proficient in managing the end-to-end data science pipeline: from problem scoping, data discovery and extraction, exploratory data analysis (EDA), modeling, evaluation, insights generation, visualizations, to continuous improvement, maintenance, and tracking business value and impact.Daily engagement in discussions involving various algorithms and approaches.Oversee the complete software development lifecycle, including hands-on coding, code reviews, testing, deployment, and documentation. Familiarity with Agile SCRUM and MLOps is highly preferred.Develop scalable and reusable assets and accelerators while implementing best practices in machine learning.Collaborate directly with internal technical teams to ensure seamless and effective integration of solutions.Conduct market and industry trend analysis in technology, proactively identifying opportunities to propose optimal solutions. Engage in ongoing research on emerging ML techniques and best practices.Responsible for coding, testing, debugging, evaluating solution/technology options (including Cloud), and documenting the application development process.Future migration of current analytics applications and pipelines to Cloud environments.
Sep 5, 2025
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