Responsibilities Designing and implementing software using Java Ensuring the code quality by implementing unit, integration and end-to-end tests Optimising application for maximum performance Working with DevOps related activities (CI/CD, infrastructure, etc.) Working in a distributed team and cooperate with other teams on cross-team deliveries Troubleshooting, analysing, and solving integration and production issues Skills 3+ years of professional Java software development experience Strong knowledge of Java 11+. Strong system design skills and programming skills Experience with Spring Framework 5, Spring Boot 3, REST, CI and Kanban Familiarity with common algorithms, data structures and multithreading Familiarity with Git/Gradle, Docker, Kubernetes, Continuous Delivery and DevOps Experience with RDBMS (MySQL, etc.) and NoSQL (Apache Cassandra, etc.) databases Comfortable with making technical and architectural decisions autonomously Communicative, able to explain concepts well to both tech and non tech (ref:hirist.tech) Show more Show less
About KiE Square- KiE Square is a leading AIML Company that provides advanced Data Science/Data engineering solutions to its clients and drives their Business Intelligence Transformation. We invite you to join our Core Team of Data Scientists, Data Engineers, and AIML Developers who have a sharp analytical bent, have delivered multiple high-value projects while handling large datasets & have built Predictive Models with a natural ability to take responsibility. Key Role Areas Lead functional design and configuration for D365 F&O Finance implementations. Gather and analyze business requirements and translate them into functional specifications. Collaborate with technical teams to ensure seamless integration and customization. Conduct workshops, training sessions, and UAT with stakeholders. Support future cloud migration planning and readiness. Key Qualifications The candidate should have led multiple end-to-end implementations and be well-versed in modern functionalities including Projects, Procurement, Indian (Payroll, e-invoices), taxation, PMA, Timesheet, and mobile integrations. Experience and readiness for cloud migration is essential. 5-8 years of experience in D365 F&O. Minimum 4-5 end-to-end implementations in Finance domain. Strong knowledge of Finance, Projects, Procurement, Payroll, PMA, Timesheet, and mobile functionality. Familiarity with API integrations and mobile app workflows. UAT Execution management and experienced in RSAT Excellent communication, documentation, and stakeholder management skills. (ref:hirist.tech)
Job Role Develop and maintain customizations in D365 F&O for Finance and related modules. Support integration efforts with mobile apps and external APIs. Work closely with senior developers and functional consultants to deliver high-quality solutions. Participate in performance tuning and troubleshooting. Stay updated with Microsoft's roadmap for D365 F&O cloud migration Key Qualifications We are looking for a mid-level D365 F&O Technical Developer with 3-5 years of experience in technical development and customization. The candidate should have participated in multiple end-to-end implementations and be comfortable working in an on-premises environment with a vision for future cloud transition. 3-5 years of experience in D365 F&O. Minimum 3 end-to-end implementations in Finance domain. Proficiency in X++, C#, .NET, and SQL Server. Exposure to mobile app development and API integration. Strong analytical and communication skills. (ref:hirist.tech)
As a mid-level D365 F&O Technical Developer with 3-5 years of experience, you will be responsible for developing and maintaining customizations in D365 F&O for Finance and related modules. Your role will involve supporting integration efforts with mobile apps and external APIs, working closely with senior developers and functional consultants to deliver high-quality solutions, participating in performance tuning and troubleshooting, and staying updated with Microsoft's roadmap for D365 F&O cloud migration. Key Qualifications: - 3-5 years of experience in D365 F&O. - Minimum 3 end-to-end implementations in the Finance domain. - Proficiency in X++, C#, .NET, and SQL Server. - Exposure to mobile app development and API integration. - Strong analytical and communication skills. If you are comfortable working in an on-premises environment and have a vision for future cloud transition, this opportunity will allow you to leverage your technical development and customization skills to contribute to the success of the projects.,
As a leading AIML Company, KiE Square specializes in providing advanced Data Science and Data engineering solutions to clients, driving their Business Intelligence Transformation. We are currently seeking individuals to join our Core Team of Data Scientists, Data Engineers, and AIML Developers. We are looking for dedicated professionals who possess a sharp analytical mindset, have successfully delivered numerous high-value projects, are adept at handling large datasets, and have a proven track record of building Predictive Models with a strong sense of accountability. Key Role Areas: - Lead functional design and configuration for D365 F&O Finance implementations. - Gather and analyze business requirements to translate them into functional specifications. - Collaborate with technical teams to ensure seamless integration and customization. - Conduct workshops, training sessions, and User Acceptance Testing (UAT) with stakeholders. - Provide support for future cloud migration planning and readiness. Key Qualifications: - 5-8 years of experience in D365 F&O. - Minimum of 4-5 end-to-end implementations in the Finance domain. - Proficiency in API integrations and mobile app workflows. - Experience in UAT Execution management and familiarity with RSAT. - Excellent communication, documentation, and stakeholder management skills. If you are a dynamic professional with a passion for Data Science, Data engineering, and AIML, we encourage you to apply and become a valuable member of our team at KiE Square.,
KiE Square is a leading AIML Company that provides advanced Data Science/Data Engineering Solutions to its clients and drives their Business Intelligence Transformation. We invite you to join our Core Team of Data Scientists, Data Engineers, and AIML Developers who have a sharp analytical bent, have delivered multiple high-value projects while handling large datasets. and have built Predictive Models with a natural ability to take responsibility. In this role, you will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Collaborate with senior data scientists and business stakeholders to understand project requirements and define analytical objectives. Conduct exploratory data analysis to uncover hidden patterns and correlations. Develop and implement machine learning algorithms to solve complex business problems. Evaluate and interpret model results, and present findings to stakeholders in a clear and concise manner. Continuously monitor and refine models to ensure accuracy and effectiveness. Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence. Strong background in machine learning, statistics, and time series forecasting. Proficiency in programming languages such as Python and experience with machine learning frameworks. Ability to work cross-functionally and communicate complex technical concepts to non-technical stakeholders. Experience with large-scale data analysis and building scalable forecasting models. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Strong understanding of statistical concepts and data analysis techniques. Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and/or NoSQL databases. Familiarity with data visualization tools, such as Tableau or Power BI. Knowledge of machine learning algorithms and techniques. Ability to work both independently and collaboratively in a fast-paced environment. Strong communication skills to effectively present findings and insights to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of natural language processing (NLP) techniques. (ref:hirist.tech)
KiE Square is a leading AIML Company that provides advanced Data Science/Data Engineering Solutions to its clients and drives their Business Intelligence Transformation. We invite you to join our Core Team of Data Scientists, Data Engineers, and AIML Developers who have a sharp analytical bent, have delivered multiple high-value projects while handling large datasets, and have built Predictive Models with a natural ability to take responsibility. In this role, you will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Collaborate with senior data scientists and business stakeholders to understand project requirements and define analytical objectives. Conduct exploratory data analysis to uncover hidden patterns and correlations. Develop and implement machine learning algorithms to solve complex business problems. Evaluate and interpret model results, and present findings to stakeholders in a clear and concise manner. Continuously monitor and refine models to ensure accuracy and effectiveness. Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence. Strong background in machine learning, statistics, and time series forecasting. Proficiency in programming languages such as Python and experience with machine learning frameworks. Ability to work cross-functionally and communicate complex technical concepts to non-technical stakeholders. Experience with large-scale data analysis and building scalable forecasting models. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Strong understanding of statistical concepts and data analysis techniques. Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and/or NoSQL databases. Familiarity with data visualization tools, such as Tableau or Power BI. Knowledge of machine learning algorithms and techniques. Ability to work both independently and collaboratively in a fast-paced environment. Strong communication skills to effectively present findings and insights to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of natural language processing (NLP) techniques. (ref:hirist.tech),
Key Responsibilities Design, develop, and maintain data pipelines and ETL processes for efficient data integration and transformation. Manage and optimize data storage and data flows on Oracle Cloud Infrastructure (OCI). Work with large-scale datasets and ensure data quality, consistency, and reliability across systems. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Implement data governance, security, and compliance standards. Monitor data pipelines, troubleshoot issues, and ensure high availability of data platforms. Optimize database performance and ensure cost-effective cloud resource : Proficiency in Oracle Cloud Infrastructure (OCI) and Oracle Autonomous Data Warehouse. Hands-on experience with ETL tools (e.g., Oracle Data Integrator, Informatica, Talend, or similar). Strong knowledge of SQL, PL/SQL, and database performance tuning. Experience with data warehousing concepts and big data technologies. Familiarity with Python or Scala for data processing and automation. Experience with streaming data pipelines (e.g., Kafka, Spark Streaming). Knowledge of data modeling and data governance best practices. Exposure to containerization (Docker, Kubernetes) is a plus. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and manage multiple priorities in a fast-paced environment. (ref:hirist.tech)
KiE Square is a leading AIML Company that provides advanced Data Science/Data Engineering Solutions to its clients and drives their Business Intelligence Transformation. We invite you to join our Core Team of Data Scientists, Data Engineers, and AIML Developers who have a sharp analytical bent, have delivered multiple high-value projects while handling large datasets. and have built Predictive Models with a natural ability to take responsibility. In this role, you will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Collaborate with senior data scientists and business stakeholders to understand project requirements and define analytical objectives. Conduct exploratory data analysis to uncover hidden patterns and correlations. Develop and implement machine learning algorithms to solve complex business problems. Evaluate and interpret model results, and present findings to stakeholders in a clear and concise manner. Continuously monitor and refine models to ensure accuracy and effectiveness. Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence. Strong background in machine learning, statistics, and time series forecasting. Proficiency in programming languages such as Python and experience with machine learning frameworks. Ability to work cross-functionally and communicate complex technical concepts to non-technical stakeholders. Experience with large-scale data analysis and building scalable forecasting models. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Strong understanding of statistical concepts and data analysis techniques. Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and/or NoSQL databases. Familiarity with data visualization tools, such as Tableau or Power BI. Knowledge of machine learning algorithms and techniques. Ability to work both independently and collaboratively in a fast-paced environment. Strong communication skills to effectively present findings and insights to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of natural language processing (NLP) techniques. (ref:hirist.tech)
KiE Square is a leading AIML Company that provides advanced Data Science/Data Engineering Solutions to its clients and drives their Business Intelligence Transformation. We invite you to join our Core Team of Data Scientists, Data Engineers, and AIML Developers who have a sharp analytical bent, have delivered multiple high-value projects while handling large datasets. and have built Predictive Models with a natural ability to take responsibility. In this role, you will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Collaborate with senior data scientists and business stakeholders to understand project requirements and define analytical objectives. Conduct exploratory data analysis to uncover hidden patterns and correlations. Develop and implement machine learning algorithms to solve complex business problems. Evaluate and interpret model results, and present findings to stakeholders in a clear and concise manner. Continuously monitor and refine models to ensure accuracy and effectiveness. Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence. Strong background in machine learning, statistics, and time series forecasting. Proficiency in programming languages such as Python and experience with machine learning frameworks. Ability to work cross-functionally and communicate complex technical concepts to non-technical stakeholders. Experience with large-scale data analysis and building scalable forecasting models. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Strong understanding of statistical concepts and data analysis techniques. Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and/or NoSQL databases. Familiarity with data visualization tools, such as Tableau or Power BI. Knowledge of machine learning algorithms and techniques. Ability to work both independently and collaboratively in a fast-paced environment. Strong communication skills to effectively present findings and insights to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of natural language processing (NLP) techniques. (ref:hirist.tech)
KiE Square is looking for a passionate and experienced Full Stack Data Scientist to join our Analytics Consulting team. The ideal candidate will possess a strong blend of technical expertise, analytical thinking, and business consulting skills. You will be responsible for developing and deploying scalable machine learning solutions, building end-to-end data pipelines, and translating analytical insights into actionable business strategies for our clients. Jd Partner with clients to understand business challenges and identify data-driven opportunities. Design, build, and deploy end-to-end machine learning models and analytical solutions tailored to client objectives. Develop data ingestion, transformation, and modelling pipelines using modern data engineering tools. Translate analytical outcomes into clear business insights, dashboards, and recommendations. Work closely with consulting teams to integrate analytics into decision-making frameworks. Build and maintain production-ready APIs and ML workflows for scalable model deployment. Implement MLOps practices for continuous integration, deployment, and performance monitoring. Mentor junior team members and contribute to internal best practices in analytics and data science. Education : Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Economics, or related field. Experience : 5 to 7 years in analytics consulting, applied data science, or end-to-end AI/ML solution development. Proven experience in problem framing, model development, and production deployment. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SQL. Hands-on experience with data engineering tools (Airflow, Spark, or Databricks). Exposure to cloud environments such as AWS, Azure, or GCP. Ability to analyse structured and unstructured data from multiple sources. Experience in model interpretability, A/B testing, and business impact measurement. Strong client communication, storytelling, and presentation skills. (ref:hirist.tech)
KiE Square is looking for a passionate and experienced Full Stack Data Scientist to join our Analytics Consulting team. The ideal candidate shall possess a strong blend of technical expertise, analytical thinking, and business consulting skills. You will be responsible for developing and deploying scalable machine learning solutions, building end-to-end data pipelines, and translating analytical insights into actionable business strategies for our clients. Responsibilities Partner with clients to understand business challenges and identify data-driven opportunities. Design, build, and deploy end-to-end machine learning models and analytical solutions tailored to client objectives. Develop data ingestion, transformation, and modelling pipelines using modern data engineering tools. Translate analytical outcomes into clear business insights, dashboards, and recommendations. Work closely with consulting teams to integrate analytics into decision-making frameworks. Build and maintain production-ready APIs and ML workflows for scalable model deployment. Implement MLOps practices for continuous integration, deployment, and performance monitoring. Mentor junior team members and contribute to internal best practices in analytics and data science. Required Skills & Qualifications Education: B.Tech/M.Tech in Computer Science (with Data Science Masters is a plus) Experience: 5–7 years in analytics consulting, applied data science, or end-to-end AI/ML solution development. Proven experience in problem framing, model development, and production deployment. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SQL. Hands-on experience on at least two of the top platforms such as Google Vertex AI, Amazon Sagemaker, Azure Databaricks. Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Hands-on experience with data engineering tools (Airflow, Spark, or Databricks) . Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Exposure to cloud environments such as AWS, Azure, or GCP. Ability to analyse structured and unstructured data from multiple sources. Experience in model interpretability, A/B testing, and business impact measurement. Strong client communication, storytelling, and presentation skills. Good to Have Exposure to data visualization tools such as Power BI, Tableau, AWS Quicksight or Looker. Understanding of consulting frameworks and client delivery models. Familiarity with API development (Flask, FastAPI) and containerization (Docker, Kubernetes). Experience with LLMs or Generative AI use cases is a plus.
KiE Square is looking for a passionate and experienced Full Stack Data Scientist to join our Analytics Consulting team. The ideal candidate will possess a strong blend of technical expertise, analytical thinking, and business consulting skills. You will be responsible for developing and deploying scalable machine learning solutions, building end-to-end data pipelines, and translating analytical insights into actionable business strategies for our clients. Jd Partner with clients to understand business challenges and identify data-driven opportunities. Design, build, and deploy end-to-end machine learning models and analytical solutions tailored to client objectives. Develop data ingestion, transformation, and modelling pipelines using modern data engineering tools. Translate analytical outcomes into clear business insights, dashboards, and recommendations. Work closely with consulting teams to integrate analytics into decision-making frameworks. Build and maintain production-ready APIs and ML workflows for scalable model deployment. Implement MLOps practices for continuous integration, deployment, and performance monitoring. Mentor junior team members and contribute to internal best practices in analytics and data science. Education : Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Economics, or related field. Experience : 5 to 7 years in analytics consulting, applied data science, or end-to-end AI/ML solution development. Proven experience in problem framing, model development, and production deployment. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SQL. Hands-on experience with data engineering tools (Airflow, Spark, or Databricks). Exposure to cloud environments such as AWS, Azure, or GCP. Ability to analyse structured and unstructured data from multiple sources. Experience in model interpretability, A/B testing, and business impact measurement. Strong client communication, storytelling, and presentation skills. (ref:hirist.tech)
As a Full Stack Data Scientist at KiE Square, you will play a crucial role in our Analytics Consulting team by leveraging your technical expertise, analytical thinking, and business consulting skills. Your primary responsibilities will include: - Partnering with clients to comprehend their business challenges and identify data-driven opportunities. - Designing, building, and deploying end-to-end machine learning models and analytical solutions that align with client objectives. - Developing data ingestion, transformation, and modeling pipelines using state-of-the-art data engineering tools. - Converting analytical outcomes into actionable business insights, dashboards, and recommendations. - Collaborating closely with consulting teams to incorporate analytics into decision-making frameworks. - Constructing and managing production-ready APIs and ML workflows to facilitate scalable model deployment. - Implementing MLOps practices for continuous integration, deployment, and performance monitoring. - Mentoring junior team members and contributing to internal best practices in analytics and data science. Qualifications required for this role include: - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field. - 5 to 7 years of experience in analytics consulting, applied data science, or end-to-end AI/ML solution development. - Proven expertise in problem framing, model development, and production deployment. - Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SQL. - Hands-on experience with data engineering tools such as Airflow, Spark, or Databricks. - Exposure to cloud environments like AWS, Azure, or GCP. - Ability to analyze structured and unstructured data from multiple sources. - Experience in model interpretability, A/B testing, and measuring business impact. - Strong communication with clients, storytelling, and presentation skills. KiE Square is seeking a passionate individual like you who can contribute effectively to our team and deliver impactful solutions for our clients.,