Prime Skill :- Java Fullstack Dev(Java +React +AWS) Location :- Hyderabad / Chennai /Pune/Noida /bangalore Experience :- 6 -10 Yrs Notice period :- Only Immediate can join next day Candidate have to share EPF history screenshot at 1st round of interview Key Responsibilities: Requirements: Sr. Java Full Stack Developer (Mandatory -Java with React ,AWS) Minimum bachelors degree in computer science and engineering or related field of study, or equivalent experience 5+ years of experience working with Java Spring Boot, Spring Batch Frameworks 5+ years in building highly performant and scalable web applications using modern tech stacks HTML5/CSS3/React JS/TypeScript/JavaScript 2+ years of experience with experience working with cloud technology (preferably AWS), and various AWS services like S3, API Gateway, App Sync Expertise in AWS Cloud/AWS UI technology stack Solid experience with Docker containerization and or orchestration Experience with RESTful API and API security frameworks, service-oriented and/or microservices architecture 2+ years of experience in Agile practices 2+ years of experience with modern relational and NoSQL databases (Experience with relational and/or non-relational databases like Mongo, PostgreSQL, DynamoDB, MySQL, SnowFlake etc is a big plus) Experience with Test First (TDD) software development process Experience within pharma/healthcare sector is a plus

Job Title: Tech Lead – BI & Analytics Experience: 8 to 15 Years Location: Bangalore (Work from Office – Mandatory) Mode of Work: Full-time, On-site Job Overview: We are looking for a highly skilled and experienced Tech Lead – BI & Analytics to spearhead our data engineering and analytics initiatives. The ideal candidate will be hands-on with modern BI tools, analytics platforms, GenAI code assistance tools, and API development, along with a strong foundation in Python, cloud platforms (preferably Azure), and modern data architectures. Key Responsibilities: Lead end-to-end BI & analytics projects, from data ingestion to dashboard/report delivery. Architect scalable data solutions using Clickhouse , Databricks , and Azure Cloud services. Drive the design and development of APIs to support data services and integration. Mentor and lead a team of engineers and analysts, ensuring best practices in code quality and analytics delivery. Leverage GenAI-based code assist tools to enhance development productivity and accelerate solution delivery. Implement containerized applications using Docker/Kubernetes for data deployment pipelines. Collaborate with business stakeholders to understand reporting needs and translate them into actionable technical solutions. Monitor, optimize, and troubleshoot system performance and data workflows. Required Skills & Qualifications: 8 to 15 years of proven experience in BI, data engineering, and analytics. Strong proficiency in Python for data scripting and API development. Deep hands-on experience with Clickhouse and Databricks . Proficient in Azure Cloud Services – including Data Factory, Data Lake, Synapse, etc. Experience working with GenAI tools such as GitHub Copilot or other code assistants is a strong plus. Hands-on with containerization technologies like Docker and Kubernetes . Strong analytical and problem-solving skills with a keen attention to detail. Ability to lead technical teams and communicate effectively with stakeholders. Nice-to-Have: Prior experience with CI/CD for data pipelines. Exposure to other BI tools (Power BI, Tableau, etc.) is a plus. Familiarity with data governance, security, and compliance practices. Show more Show less

Client: Accenture Roles and Responsibilities Handle outbound customer calls with professionalism and courtesy. Provide accurate information and support to customers regarding products and services. Resolve customer queries and issues efficiently, ensuring a positive customer experience. Maintain detailed records of customer interactions and transactions. Collaborate with team members to improve processes and customer satisfaction. Stay updated on company policies, product knowledge, and industry trends Qualifications: Education : Graduate is a must for fresher,. Experience: 0 to 4 years of experience in customer service or a related field (BPO experience is a plus). Strong verbal communication skills with a clear and neutral accent. Ability to work in a fast-paced, high-volume environment. Excellent problem-solving skills and a customer-first attitude Mode of Work - Work from Office Interview process - 1)Versant,2) CD 3) OPS Interview Versant Threshold : 58 and above only Location: Mumbai- MDC7 Shift Timing: 06.30pm onwards to 06.30 am,9 hours working including weekends. Rotational off.

Job Role: Enterprise Architect Experience: 10+ years Budget 35 Lpa Max Location: Trivandrum / Kochi Job Description We are seeking an Enterprise Architect with proven exposure to the BFSI (Banking, Financial Services, and Insurance) domain. The Enterprise Architect will be responsible for designing, developing, and managing the organization’s overall technology infrastructure. This includes aligning IT strategies with business goals, ensuring effective system integration across the enterprise, and creating a robust, scalable IT landscape to meet future business needs. The role demands deep expertise in business processes, technology trends, and architecture frameworks to drive innovation and optimize efficiency. Responsibilities include: Strategic Planning Collaborate with senior management to understand business objectives and formulate a comprehensive IT strategy. Define and articulate the enterprise architecture vision, roadmap, and standards to guide technology decisions Assess the current IT landscape, identifying gaps, risks, and opportunities for improvement. Conduct feasibility studies and evaluate the risks and benefits of new technology initiatives. Architecture Design Design and document enterprise architecture blueprints, encompassing application, data, infrastructure, and security components. Develop and oversee solution architectures for new projects to ensure alignment with enterprise architecture. Define technology standards, guidelines, and best practices for system development and integration. Ensure the adoption of architectural principles across all IT projects. Technical Leadership Provide technical expertise and guidance to project teams on architecture design, patterns, and technology choices. Lead architecture review boards to ensure solutions meet quality, scalability, and compliance standards. Stay updated on emerging technologies and industry trends to identify opportunities for innovation. Evaluate and recommend new technologies to enhance system capabilities and organizational efficiency. Communication and Collaboration Act as a bridge between business stakeholders, IT teams, and vendors to ensure alignment on technology strategies. Present complex technical concepts to non-technical audiences, advocating for architectural decisions. Collaborate with architects across data, security, and cloud disciplines to create holistic solutions. Advise senior management on the business impact of technology decisions. Governance and Compliance Ensure the enterprise architecture complies with industry regulations, security standards, and compliance requirements. Monitor the implementation of architectural standards and enforce governance policies. Conduct regular architecture reviews to identify risks and recommend mitigation strategies. Required Skills and Qualifications Technical Expertise Proficiency in enterprise architecture frameworks (e.g., TOGAF, Zachman) and modelling tools. In-depth knowledge of cloud computing, distributed systems, data management, application development, and network architecture. Familiarity with programming languages and development methodologies. Business Acumen Strong analytical skills to translate business needs into technical solutions. Comprehensive understanding of business processes and technology optimization opportunities. Excellent communication and presentation skills to explain technical concepts to diverse stakeholders. Leadership and Collaboration Demonstrated ability to lead cross-functional teams and influence decisions across the organization. Strong collaboration skills to engage with various stakeholders effectively. Experience Proven experience as an Enterprise Architect in a complex IT environment, preferably within IT services. A successful track record in designing and implementing enterprise-wide IT solutions. Experience managing large-scale technology transformations and migration projects. Domain Expertise We are seeking an Enterprise Architect with proven exposure to the BFSI (Banking, Financial Services, and Insurance) domain. Candidates with experience in Retail and Healthcare domains are also preferred. Preferred Qualifications Certification in enterprise architecture frameworks such as TOGAF or Zachman. Knowledge of DevOps practices and tools. Experience with modern technology stacks and microservices-based architectures.

Job Overview This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 10+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development. PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines best approach to address business issues. Working with business partners, leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 10+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development. PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines best approach to address business issues. Working with business partners, leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.