Role & responsibilities Job Description : CE Technical (4 to 12 Years of experience) : Immediate Joiner/30 Days Drive Dynamics CE implementations through all project phases, including discovery, definition, build, test, and deploy. 3 or more years designing and delivering D365 solutions with various integration strategies. Effectively manage associated issues and risks and ensure on-time and on-budget implementation delivery that meets clients' needs and requirements. Lead data-centric discussions with the client through discovery meetings. Develop and continue to refine CE implementation standards and tools. Evaluate various data issues and analytical needs Strong Dynamics/Power Platform Knowledge Knowledge on Dynamics Sales, Customer Service, Field Service and Project Service. Knowledge on Azure Tools, Azure Devops, Azure Functions, Azure Services Azure Development, and ADF would be advantageous. Strong knowledge of ASP.NET/.NET Core, JavaScript, CRM 365 SDK, HTML/CSS Ability to generate Technical Specifications based on functional specifications. Enhance/Customize Dynamics CRM for based on customer requirements. Develop Modern Web Applications integrated with the Power Platform using ASP.NET, AngularJS, Web API. Setup Custom Code Repository for Team Member Design and Document Integration, Data Migration , ALM Strategy Ensure Code coverage and unit tests for every component or task. Execute unit testing for the new functionality developed. Excellent presentation, communication, leadership and client development skills to effectively present information to C-level management, public groups and/or board of directors. Certification on PL 200/ PL 400 is added advantage. Certification on MB 600 is added advantage. Microsoft Dynamics 365 CE development skills : Configurations/customization C#, WEBAPI, MVC, .NET Complex Plug-ins Complex Custom Workflows Actions JavaScript JSON JQuery Azure tools

Job Description AX Functional Consultant is involving all aspects of implementing supporting Dynamics solutions from pre-sales work through the project life cycle to go-live and on-going support. You will be leading Solution Design sessions, assisting with configuration, assisting with data migration deliverables, creating required interface design documents, functional design documents and troubleshooting of customizations etc. Key Responsibilities: Analyze business processes (SCM) to identify opportunities for improvement Identify creative workarounds to meet requirements without the development of custom code Understand the functional capabilities and limitations for out of the box functionality as well as custom code You will be the one to identify our customers requirements and match them with technological capabilities and with Microsofts continuous release plans. Key Competencies Deep functional knowledge of Microsoft Dynamics FO D365 - SCM Experience of developing customized solutions to complex business problems Demonstrable consultancy experience Strong working knowledge of business processes Relevant Microsoft certification Excellent documentation and communication skills A logical approach to problem solving and the structured introduction of change into operational systems Ability to multitask and prioritize Good interpersonal skills Attention to detail Skills Required: Hold 3-4 years of experience within D365 Specialization in one/more of Supply Chain; Manufacturing; Production; Security. Are fluent in English. Strong communication and consulting skills

Job Description Job Title: Adobe Commerce Cloud Full Stack Developer Experience: 6-8 Years Employment Type: Full-time Job Summary: We are looking for a skilled Adobe Commerce Full Stack Developer with 6-8 years of experience. The ideal candidate should be capable of understanding and working with core customizations in Adobe Commerce (Magento), independently resolving complex issues, and developing functional enhancements as needed. Key Responsibilities: Analyze and understand customizations in Adobe Commerce projects. Independently troubleshoot and resolve complex bugs in both frontend and backend code. Develop new features, modules, and integrations based on business requirements. Participate in code reviews and enforce best coding practices. Optimize application performance and scalability. Collaborate with cross-functional teams including QA, DevOps, and Solution Architects. Required Skills: 6-8 years of hands-on experience in Magento 2 / Adobe Commerce Full Stack development. Proficient in PHP, MySQL, JavaScript, Knockout.js, GraphQL, and REST APIs . Strong understanding of Adobe Commerce Cloud infrastructure , including Fastly and New Relic. Experience with custom module development and extending core functionalities. Strong debugging and problem-solving skills. Familiar with Git workflows and CI/CD tools. Qualifications Preferred Qualifications: Adobe Certified Expert - Adobe Commerce Developer. Exposure to B2B module, PWA Studio, or headless implementations.

Company Description About Hitachi Solutions India Pvt Ltd: Hitachi Solutions, Ltd., headquartered in Tokyo, Japan, is a core member of Information & Telecommunication Systems Company of Hitachi Group and a recognized leader in delivering proven business and IT strategies and solutions to companies across many industries. The company provides value-driven services throughout the IT life cycle from systems planning to systems integration, operation and maintenance. Hitachi Solutions delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China and India. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities. Our Competitive Edge We work together in a dynamic and rewarding work environment. We have an experienced leadership team, excellent technology and product expertise, and strong relationships with a broad base of customers and partners. We offer competitive compensation and benefits package, regular performance review, performance bonuses, and regular trainings. What is it like working here? We pride ourselves on being industry leaders and providing an enjoyable work environment where our people can grow personally and professionally. Hitachi is the place people can develop skills they’re excited about. The following are our commitments to employees. We recognize our profitability and project success comes from our team—great people doing great things. As such, we pursue profitable growth and expanded opportunities for our team. We offer challenging and diverse work across multiple industries and reward creativity and entrepreneurial innovation. We respect, encourage, and support each individual needs to continually learn and grow personally and professionally. We are committed to fostering our people. We listen. Every employee has something important to say that can contribute to enriching our environment. We compensate fairly. And while employees might come for the paycheck, they stay for the people. Our people are the reason we are exceptional. This is something we never forget. Job Description Power BI Architects are experts in data modeling and analysis and are responsible for developing high-quality datasets and visually stunning reports. They design and develop data models that effectively support business requirements, ensuring the accuracy and reliability of the data presented in the dashboards and reports. They possess proficiency in Power BI Desktop and expertise with SQL and DAX. Projects may range from short-term individual client engagements to multiyear delivery engagements with large, blended teams. Requirements: A minimum of 8 years full-time experience using Power BI Desktop, with extensive knowledge of Power Query, Power Pivot, and Power View Able to quickly write SQL for database querying and DAX for creating custom calculations Possess good knowledge of M and Vertipaq Analyzer Understand data modeling concepts and be able to create effective data models to support reporting needs. Perform data ETL processes to ensure that data sets are clean, accurate, and ready for analysis. Work closely with stakeholders to understand requirements, deliver solutions that meet those needs, and bridge the gap between technical and non-technical sides. Unwavering ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications Excellent communication, presentation, influencing, and reasoning skills Familiarity with the Azure data platform, e.g., ADLS, SQL Server, ADF, Databricks etc. We would like to see a blend of the following technical skills: Power BI Desktop, Power BI Dataflows, Tabular Editor, DAX Studio, and VertiPaq Analyzer T-SQL, DAX, M, and PowerShell Power BI Service architecture design and administration Understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights VertiPaq and MashUp engine knowledge Data modeling using the Kimball methodology Qualifications Good verbal and written communication. Educational Qualification: BE/MCA/ Any Graduation. Additional Information Beware of scams Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) notification@smartrecruiters.com domain email address regarding your application and interview requests. All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.

Job Description Power BI Architects are experts in data modeling and analysis and are responsible for developing high-quality datasets and visually stunning reports. They design and develop data models that effectively support business requirements, ensuring the accuracy and reliability of the data presented in the dashboards and reports. They possess proficiency in Power BI Desktop and expertise with SQL and DAX. Projects may range from short-term individual client engagements to multiyear delivery engagements with large, blended teams. Requirements: A minimum of 8 years full-time experience using Power BI Desktop, with extensive knowledge of Power Query, Power Pivot, and Power View Able to quickly write SQL for database querying and DAX for creating custom calculations Possess good knowledge of M and Vertipaq Analyzer Understand data modeling concepts and be able to create effective data models to support reporting needs. Perform data ETL processes to ensure that data sets are clean, accurate, and ready for analysis. Work closely with stakeholders to understand requirements, deliver solutions that meet those needs, and bridge the gap between technical and non-technical sides. Unwavering ability to quickly propose solutions by recalling the latest best practices learned from MVP Product Team articles, MSFT documentation, whitepapers, and community publications Excellent communication, presentation, influencing, and reasoning skills Familiarity with the Azure data platform, e.g., ADLS, SQL Server, ADF, Databricks etc. We would like to see a blend of the following technical skills: Power BI Desktop, Power BI Dataflows, Tabular Editor, DAX Studio, and VertiPaq Analyzer T-SQL, DAX, M, and PowerShell Power BI Service architecture design and administration Understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights VertiPaq and MashUp engine knowledge Data modeling using the Kimball methodology Qualifications Good verbal and written communication. Educational Qualification: BE/MCA/ Any Graduation.

Hitachi Solutions is looking for .NET+ React (DevTech) (NA) to join our dynamic team and embark on a rewarding career journey Design, develop, and maintain applications using NET and React frameworks Collaborate with UI/UX designers and backend teams, perform code reviews, optimize performance, and ensure integration with APIs and databases Follow Agile development practices

Power BI Architects are experts in data modeling and analysis and are responsible for developing high-quality datasets and visually stunning reports. They design and develop data models that effectively support business requirements, ensuring the accuracy and reliability of the data presented in the dashboards and reports. They possess proficiency in Power BI Desktop and expertise with SQL and DAX. Projects may range from short-term individual client engagements to multiyear delivery engagements with large, blended teams. Requirements: A minimum of 6 years full-time experience using Power BI Desktop, with extensive knowledge of Power Query, Power Pivot, and Power View Able to quickly write SQL for database querying and DAX for creating custom calculations Possess good knowledge of M and Vertipaq Analyzer Understand data modeling concepts and be able to create effective data models to support reporting needs. Perform data ETL processes to ensure that data sets are clean, accurate, and ready for analysis. Work closely with stakeholders to understand requirements, deliver solutions that meet those needs, and bridge the gap between technical and non-technical sides. Unwavering ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications Excellent communication, presentation, influencing, and reasoning skills Familiarity with the Azure data platform, e.g., ADLS, SQL Server, ADF, Databricks etc. We would like to see a blend of the following technical skills: Power BI Desktop, Power BI Dataflows, Tabular Editor, DAX Studio, and VertiPaq Analyzer T-SQL, DAX, M, and PowerShell Power BI Service architecture design and administration Understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights VertiPaq and MashUp engine knowledge Data modeling using the Kimball methodology

Job Description Ongoing support of clients Azure and on-premises environments with a focus on infrastructure and networking with occasional support of Azure PaaS solutions Resolution of alerts from the NOC monitoring system for issues with Azure VMs and Windows servers Assist with managing the monitoring system, including deploying monitoring for new customers, creating new monitoring rules based on business requirements, etc. Work with members of other teams to coordinate resolution of issues that are in their technical area Work directly with clients on their Azure and Windows Server projects and questions, including advising them on best practices Be the technical lead for multiple clients, having a deep understanding of their infrastructure and overall architecture Work within the ticketing system to monitor, track, and resolve client issues Qualifications Overall 10+ Years of Experience 2+ years of experience with Azure in a hands-on engineering role focused on IaaS and networking 3+ years of Windows Server and Active Directory engineering/administration experience Basic networking experience (for example: administering or troubleshooting site to site VPNs, basic routing, firewall rules, etc.) should have experience in VM Migration from On - Prem to Cloud (Azure) Ability to support multiple clients and prioritize multiple issues simultaneously Ability to adapt to changes in Microsoft Azure technologies quickly Demonstrate a good set of troubleshooting skills to resolve complex issues The ideal candidate also has some of the following (Optional): Experience with Microsoft 365 products, including Exchange Online, Teams, and Azure Active Directory Has worked at a Managed Services Provider supporting multiple customers Has worked with or administered IT Monitoring tools such as Solarwinds, Nagios, or ConnectWise Automate Experience with Azure Log Analytics and ability to write or understand Kusto queries Experience with PowerShell scripting Experience in IT Security and/or Cloud Security

Role & responsibilities Drive Dynamics CE implementations through all project phases, including discovery, definition, build, test, and deploy. Effectively manage associated issues and risks and ensure on-time and on-budget implementation delivery that meets clients' needs and requirements. Lead data-centric discussions with the client through discovery meetings. Design and lead the system architecture process, in partnership with the Development Team, to create, define specifications for and implement customizations for any custom code or data migration requirements. Conduct end-user training and create and maintain knowledge transfer documentation. Develop and continue to refine CE implementation standards and tools. Present tailored demonstrations of the technology solution Evaluate various data issues and analytical needs Strong Dynamics/Power Platform Knowledge Knowledge on Dynamics Sales, Customer Service, Field Service and Project Service. Strong knowledge of ASP.NET/.NET Core, JavaScript, CRM 365 SDK, HTML/CSS Ability to generate Technical Specifications based on functional specifications. Strong understanding of Power Platform Architecture and Various Integration Mechanism Enhance/ Customize Dynamics CRM for based on customer requirements. Develop Modern Web Applications integrated with the Power Platform using ASP.NET, AngularJS, Web API. Setup Custom Code Repository for Team Member Setup DevOps Pipeline for Solution Migration Design and Document Integration, Data Migration , ALM Strategy Experience in analyzing Salesforce business processes, working with Apex code, and developing migration strategies for Dynamics. Ensure Code coverage and unit tests for every component or task. Ensure that code is testable and is tested. Execute unit testing for the new functionality developed. Preferred candidate profile Microsoft Dynamics 365 CE development skills : Configurations/customization C#, WEBAPI, MVC, .NET Complex Plug-ins PCF Data Migration SFDC to Dynamics Migration Actions JavaScript JSON JQuery Azure Base Integration Qualification: Strong CE industry and product knowledge 3 or more years designing and delivering D365 solutions with various integration strategies. 5 or more years implementing Dynamics/Power Platform Solutions Excellent presentation, communication, leadership and client development skills to effectively present information to C-level management, public groups and/or board of directors Excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed Ability to work in a fast paced environment driven by agile methodologies SPRINT with daily SCRUM. Strong Microsoft Dynamics CRM technical knowledge like Plugin, PCF, PowerApps Portal, Custom Action, Web Resource, DevOps Integration, Power Automate Strong Knowledge in Power Platform Strong OOP Skills and a very good understanding of the .NET framework, Web Applications, Web Servers, CSS Knowledge on Power BI, Azure Development, and ADF would be advantageous. Certification on PL 200/ PL 400 is a plus Certification on MB 600 is added advantage Good communication skills.

Job Description Role and responsibility Expertise in providing development solutions in a D365 FO environment Experience with D365 FO in a Development role Experience of at least 5 large scale ERP implementations Adept at Business Requirement Analysis with a focus on reducing development effort Business process mapping, modelling and documentation knowledge; Participation/Interest in evaluating latest preview releases from Microsoft including Dual Write, RSAT. Reviews technical architecture deliverables throughout development to ensure quality and requirements traceability Has overall technical responsibility for the technical aspects of the project environments until system handover Ensures that internal development guidelines are understood and applied by the development team Identifies and communicates any cross-area or cross-release issues that affect other project areas Ensures adherence to all quality management plans and standards by participating in quality management reviews Validates the design with the stakeholders to ensure that the design satisfies the requirements Ensures security practices are used and applied throughout the engagement s lifecycle Contribute to the development of Hitachi intellectual property and Packaged Services initiatives. Required Skill: Your Experience Likely Includes 9+ years of ERP technical implementation (D365 FO, AX 2009, AX 2012 - X++) and integration experience working with Enterprise clients Good understanding of functional capabilities of D365: Financials, Project Management and Accounting, Manufacturing Knowledge of end to end D365FO implementation, including interfacing and integration Minimum of two full lifecycle ERP implementations leading a technical workstream such as integration, data conversion or extension development Good understanding of LCS (Life Cycle Services) and Azure DevOps. Hands experience on Azure , Logic app Qualifications Strong software development experience, ability to use development tools including Microsoft X++ and .NET to develop software on top of D365F&O.

Job Description Power BI Architects are experts in data modeling and analysis and are responsible for developing high-quality datasets and visually stunning reports. They design and develop data models that effectively support business requirements, ensuring the accuracy and reliability of the data presented in the dashboards and reports. They possess proficiency in Power BI Desktop and expertise with SQL and DAX. Projects may range from short-term individual client engagements to multiyear delivery engagements with large, blended teams. Requirements: A minimum of 6-8 years full-time experience using Power BI Desktop, with extensive knowledge of Power Query, Power Pivot, and Power View Able to quickly write SQL for database querying and DAX for creating custom calculations Possess good knowledge of M and Vertipaq Analyzer Understand data modeling concepts and be able to create effective data models to support reporting needs. Perform data ETL processes to ensure that data sets are clean, accurate, and ready for analysis. Work closely with stakeholders to understand requirements, deliver solutions that meet those needs, and bridge the gap between technical and non-technical sides. Unwavering ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications Excellent communication, presentation, influencing, and reasoning skills Familiarity with the Azure data platform, e.g., ADLS, SQL Server, ADF, Databricks etc. We would like to see a blend of the following technical skills: Power BI Desktop, Power BI Dataflows, Tabular Editor, DAX Studio, and VertiPaq Analyzer T-SQL, DAX, M, and PowerShell Power BI Service architecture design and administration Understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights VertiPaq and MashUp engine knowledge Data modeling using the Kimball methodology Qualifications Good verbal and written communication. Educational Qualification: BE/MCA/ Any Graduation.

Role & responsibilities Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes. Develop scalable and efficient data architectures that support large-scale data processing and analytics workloads. Ensure high performance, security, and compliance within Azure data solutions. Know various techniques (lakehouse, warehouse) and have experience implementing them. Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory. Should have deep knowledge and hands-on experience with these Azure Data Services. Ideally, knowledgeable and experienced with Microsoft Fabric. Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions. Experience with data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Provide expertise and leadership to the development team implementing data engineering solutions. Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements. Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability. Analyze data workloads and recommend optimizations for performance tuning, cost management, and reducing complexity. Monitor and address any issues related to performance and availability in cloud-based data solutions. Experience in programming languages (e.g., SQL, Python, Scala). Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platform. Experience in Azure DevOps, CI/CD pipeline development Hands-on experience working at a high level in architecture, data science, or combination. In-depth understanding of database structure principles Distributed Data Processing of big data batch or streaming pipelines. Familiarity with data visualization tools (e.g., Power BI, Tableau, etc.) Data Modeling and strong analytics skills. The candidate must be able to take OLTP data structures and convert them into Star Schema. Ideally, the candidate should have DBT experience along with data modeling experience. Problem-solving attitude, Highly selfmotivated, selfdirected, and attentive to detail, Ability to prioritize and execute tasks effectively. Attitude and aptitude are highly important at Hitachi; we are a very collaborative group. Preferred candidate profile Azure SQL Data Warehouse Azure Data Factory Azure Data Lake Azure Analysis Services Databricks/Spark Python or Scala (Python preferred) Data Modeling Power BI Database migration from legacy systems to new solutions Design conceptual, logical and physical data models using tools like ER Studio, Erwin

Role & responsibilities Experience: 8 - 14 years Primary Skills: Data Science Secondary Skills: Data Engineering/Data Analytics Overview: The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers, analysts, and domain experts and help us build holistic, multi-modal solutions. Required Skills: Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting. Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA. Strong understanding of model development lifecycle: from data ingestion to deployment. Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau). Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances. Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment. Good to have: Experience or interest in Computer Vision: object detection, OCR, or visual product search. Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR. Exposure to multi-modal ML systems (combining text, image, and tabular data). Knowledge of API development (FastAPI, Flask) to expose ML models for product use. Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring). Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks.

Company Description About Hitachi Solutions India Pvt Ltd: Hitachi Solutions, Ltd., headquartered in Tokyo, Japan, is a core member of Information & Telecommunication Systems Company of Hitachi Group and a recognized leader in delivering proven business and IT strategies and solutions to companies across many industries. The company provides value-driven services throughout the IT life cycle from systems planning to systems integration, operation and maintenance. Hitachi Solutions delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China and India. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities. Our Competitive Edge We work together in a dynamic and rewarding work environment. We have an experienced leadership team, excellent technology and product expertise, and strong relationships with a broad base of customers and partners. We offer competitive compensation and benefits package, regular performance review, performance bonuses, and regular trainings. What is it like working here? We pride ourselves on being industry leaders and providing an enjoyable work environment where our people can grow personally and professionally. Hitachi is the place people can develop skills they’re excited about. The following are our commitments to employees. We recognize our profitability and project success comes from our team—great people doing great things. As such, we pursue profitable growth and expanded opportunities for our team. We offer challenging and diverse work across multiple industries and reward creativity and entrepreneurial innovation. We respect, encourage, and support each individual needs to continually learn and grow personally and professionally. We are committed to fostering our people. We listen. Every employee has something important to say that can contribute to enriching our environment. We compensate fairly. And while employees might come for the paycheck, they stay for the people. Our people are the reason we are exceptional. This is something we never forget. Job Description We are seeking a talented and innovative Data Scientist to join our dynamic team in Pune, India. As a Data Scientist, you will play a crucial role in extracting valuable insights from complex datasets, developing advanced analytical models, and driving data-driven decision-making across our organization. Job Description Experience: 8 - 14 years Primary Skills: Data Science Secondary Skills: Data Engineering/Data Analytics Overview: The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers, analysts, and domain experts and help us build holistic, multi-modal solutions. Required Skills: Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting. Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA. Strong understanding of model development lifecycle: from data ingestion to deployment. Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau). Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances. Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment. Good to have: Experience or interest in Computer Vision: object detection, OCR, or visual product search. Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR. Exposure to multi-modal ML systems (combining text, image, and tabular data). Knowledge of API development (FastAPI, Flask) to expose ML models for product use. Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring). Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks. Data Engineering: Experience in building and managing data pipelines using Azure Data Factory. Familiarity with Azure Synapse Analytics for data warehousing and analytics. Working knowledge of Azure Data Lake, Databricks on Azure, or Azure SQL for handling large-scale data. Good understanding of ETL/ELT processes, data transformation, and integration workflows in Azure ecosystem. Experience with scheduling, monitoring, and optimizing pipelines for ML data readiness. Key Responsibilities: Natural Language Processing: Apply NLP techniques to extract insights from text data such as product descriptions, reviews, internal documents, and reports. Fine-tune transformer-based models (e.g., BERT, RoBERTa, LLaMA) for classification, summarization, and named entity recognition. Work with domain experts to create and maintain retail-specific taxonomies and knowledge structures. Ensure model outcomes are explainable, ethical, and aligned with business needs. Time Series Forecasting: Analyze historical demand, inventory, and sales data to uncover trends and seasonality. Utilize pre-trained models (e.g., ARIMA, Prophet, DeepAR) to generate accurate demand forecasts. Fine-tune and adapt existing models using domain-specific data from the apparel/footwear industry. Translate forecasts into actionable insights for supply chain, merchandising, and planning teams. Good to have - Computer Vision: Assist or contribute to CV projects involving product imagery, shelf monitoring, visual search, or quality control. Apply basic CV techniques like image classification, object detection (e.g., using YOLO, OpenCV, or CNNs). Support integration of image-based data into larger multi-modal ML systems. Collaboration & Integration: Work closely with cross-functional teams (e.g., Data Engineering, DevOps, Product, and Business Stakeholders). Develop scalable, reusable ML components that can be deployed in production environments. Participate in designing evaluation frameworks and A/B tests for forecasting and NLP model effectiveness. Qualifications Master's degree in Computer Science, Data Science, Statistics, or a related field Proven experience in data science, machine learning, or a similar role Strong proficiency in Python and SQL for data manipulation and analysis Experience with cloud technologies, preferably Azure Databricks and MLflow In-depth knowledge of machine learning algorithms, including regression, classification, clustering, and deep learning Expertise in feature engineering, feature selection, and model evaluation techniques Strong skills in exploratory data analysis (EDA) and data visualization Experience building end-to-end AI systems and pipelines Familiarity with big data technologies such as Hadoop and Spark Solid understanding of statistical analysis and probability theory Experience with version control systems, preferably Git Excellent problem-solving skills and ability to translate complex business problems into technical solutions Strong communication skills to effectively present findings to both technical and non-technical audiences Ability to work independently and collaboratively in a fast-paced, dynamic environment Knowledge of distributed systems is a plus Additional Information Beware of scams Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests. All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.

Job Description We are seeking a talented and innovative Data Scientist to join our dynamic team in Pune, India. As a Data Scientist, you will play a crucial role in extracting valuable insights from complex datasets, developing advanced analytical models, and driving data-driven decision-making across our organization. Job Description Experience: 8 - 14 years Primary Skills: Data Science Secondary Skills: Data Engineering/Data Analytics Overview: The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers, analysts, and domain experts and help us build holistic, multi-modal solutions. Required Skills: Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting. Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA. Strong understanding of model development lifecycle: from data ingestion to deployment. Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau). Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances. Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment. Good to have: Experience or interest in Computer Vision: object detection, OCR, or visual product search. Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR. Exposure to multi-modal ML systems (combining text, image, and tabular data). Knowledge of API development (FastAPI, Flask) to expose ML models for product use. Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring). Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks. Data Engineering: Experience in building and managing data pipelines using Azure Data Factory. Familiarity with Azure Synapse Analytics for data warehousing and analytics. Working knowledge of Azure Data Lake, Databricks on Azure, or Azure SQL for handling large-scale data. Good understanding of ETL/ELT processes, data transformation, and integration workflows in Azure ecosystem. Experience with scheduling, monitoring, and optimizing pipelines for ML data readiness. Key Responsibilities: Natural Language Processing: Apply NLP techniques to extract insights from text data such as product descriptions, reviews, internal documents, and reports. Fine-tune transformer-based models (e.g., BERT, RoBERTa, LLaMA) for classification, summarization, and named entity recognition. Work with domain experts to create and maintain retail-specific taxonomies and knowledge structures. Ensure model outcomes are explainable, ethical, and aligned with business needs. Time Series Forecasting: Analyze historical demand, inventory, and sales data to uncover trends and seasonality. Utilize pre-trained models (e.g., ARIMA, Prophet, DeepAR) to generate accurate demand forecasts. Fine-tune and adapt existing models using domain-specific data from the apparel/footwear industry. Translate forecasts into actionable insights for supply chain, merchandising, and planning teams. Good to have - Computer Vision: Assist or contribute to CV projects involving product imagery, shelf monitoring, visual search, or quality control. Apply basic CV techniques like image classification, object detection (e.g., using YOLO, OpenCV, or CNNs). Support integration of image-based data into larger multi-modal ML systems. Collaboration & Integration: Work closely with cross-functional teams (e.g., Data Engineering, DevOps, Product, and Business Stakeholders). Develop scalable, reusable ML components that can be deployed in production environments. Participate in designing evaluation frameworks and A/B tests for forecasting and NLP model effectiveness. Qualifications Masters degree in Computer Science, Data Science, Statistics, or a related field Proven experience in data science, machine learning, or a similar role Strong proficiency in Python and SQL