Qureos Mentor

Datamatics Global Services Ltd

<div>FileNet Java Developer 
 
Experience: 8+ Years 
Must have FileNet Java Experience 
 
Job Summary: 
 
The FileNet Developer will play an important technical role within the ECM team. This position will be responsible for designing, developing, implementing, and maintaining ECM solutions to meet the organization's business needs as well as back-end operational support and maintenance of the IBM FileNet P8 OOTB and custom applications. 
 
Job Description<ul><li>
8+ years of IT industry experience in design, development, troubleshoot and implement large and complex IBM solutions.</li><li>
Strong understanding of ECM concepts, including document management, workflow automation, and records management.</li><li>
In depth knowledge of IBM FileNet Architecture and hands-on experience with IBM FileNet Java APIs</li><li>
Design and implement ECM solutions using IBM FileNet P8 platform by developing custom components, workflows, and integrations to extend the capabilities of IBM FileNet.</li><li>
Integrate ECM solutions with other enterprise systems and applications using Java and Spring framework.</li><li>
Expert level experience in Java/J2EE and Spring framework</li><li>
Translate business and functional requirements into documented technical specifications including design documents and unit test plans and provides technical and functional support for ECM environments and applications.</li><li>
Conduct code reviews, performance tuning, and troubleshooting to ensure the quality and stability of ECM applications.</li><li>
Provide technical guidance and mentorship to junior developers and team members.</li><li>
Must have strong technical, hands-on experience and possesses innovative thought process, design thinking and strong analytical background.</li><li>
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.</li></ul> 

Strong development skills in:<ul><li>
Java, REST, SOAP, security, jUnit</li><li>
Spring MVC, Boot, Batch and other Spring projects, Thymeleaf</li><li>
Bootstrap, dojo, jQuery, bootstrap, javascript, css</li><li>
Good to have Angular, React</li><li>
Open source frameworks</li></ul> 

Strong FileNet skills in:<ul><li>
CE and BPM Java APIs</li><li>
Content Navigator API and plugin, features, custom step processor, EDS development</li><li>
Creating classes, search and entry templates</li><li>
Creating workflows, custom components</li><li>
Using Process Administrator, ACCE</li><li>
Content Navigator administration, desktop configuration, viewer mapping, teamspaces</li></ul> 

Knowledge of:<ul><li>
SVN, Git, maven, eclipse</li><li>
WebSphere: install, update applications, create data-sources, etc.</li><li>
DB2: create sql queries, procedures, etc. Qualifications</li><li>
Bachelor's degree in Computer Science, or a related field;</li><li>
IBM FileNet Certified Professional (Content Manager, Business Process Manager)</li><li>
Java certification</li></ul>
UlQRi4eBez</div>

Senior Java Developer - FileNet

<div><h2 class="jobSectionHeader">Job Title: Senior Reporting Analyst 
</h2><h3 class="jobSectionHeader">
Job Purpose</h3>
The Senior Reporting Analyst is responsible for developing, managing, and optimizing data visualizations and reports to support data-driven decision-making across the organization. This role primarily focuses on Power BI, with the flexibility to work on additional reporting platforms such as Metabase, Apache Superset, or similar tools.
The position requires strong business data analysis capabilities and close collaboration with stakeholders to gather requirements, translate them into actionable insights, and ensure reporting solutions align with organizational objectives.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
1. Report Development &amp; Visualization</h3><ul><li>
Design, develop, and optimize interactive dashboards and reports in Power BI</li><li>
Ensure data accuracy, usability, and adherence to visualization best practices</li></ul><h3 class="jobSectionHeader">
2. Cross-Platform Reporting Flexibility</h3><ul><li>
Develop and maintain reports across multiple BI platforms (e.g., Metabase, Apache Superset)</li><li>
Ensure consistency, quality, and standardization of reports across tools</li></ul><h3 class="jobSectionHeader">
3. Business Data Analysis &amp; Insights</h3><ul><li>
Perform in-depth business data analysis to identify trends, insights, and opportunities</li><li>
Provide actionable recommendations to support informed decision-making</li></ul><h3 class="jobSectionHeader">
4. Requirement Gathering &amp; Stakeholder Collaboration</h3><ul><li>
Collaborate with business stakeholders to understand reporting needs</li><li>
Translate business requirements into effective reporting and visualization solutions</li></ul><h3 class="jobSectionHeader">
5. Documentation &amp; Reporting Standards</h3><ul><li>
Maintain clear documentation of reports, dashboards, data sources, calculations, and assumptions</li><li>
Ensure transparency, governance, and reproducibility of reporting assets</li></ul><h3 class="jobSectionHeader">
6. Performance Monitoring &amp; Optimization</h3><ul><li>
Monitor and optimize report and dashboard performance</li><li>
Ensure scalability, responsiveness, and efficient data refresh across platforms</li></ul><h3 class="jobSectionHeader">
7. SQL Development</h3><ul><li>
Design, write, and optimize complex SQL queries</li><li>
Support data extraction, transformation, and reporting requirements</li></ul><h3 class="jobSectionHeader">
8. Training &amp; Knowledge Sharing</h3><ul><li>
Provide training and ongoing support to end-users</li><li>
Improve data literacy and adoption of Power BI and other reporting tools</li></ul><h2 class="jobSectionHeader"> 
Minimum Qualifications</h2><ul><li>
Bachelor&rsquo;s degree in Business Administration, Information Systems, or a related field</li><li>
Master&rsquo;s degree or equivalent experience is preferred</li></ul><h2 class="jobSectionHeader"> 
Minimum Experience</h2><ul><li>
5+ years of experience in data analysis, business intelligence, or reporting</li><li>
Strong focus on Power BI, with flexibility to work on other reporting platforms</li></ul><h2 class="jobSectionHeader"> 
Competencies (Knowledge, Skills, and Abilities)</h2><h3 class="jobSectionHeader">
Power BI &amp; Cross-Platform Reporting</h3><ul><li>
Advanced Power BI skills, including DAX and Power Query</li><li>
Ability to work across tools such as Metabase, Apache Superset, or similar platforms</li></ul><h3 class="jobSectionHeader">
SQL Expertise</h3><ul><li>
Expert-level SQL skills for writing, optimizing, and troubleshooting complex queries</li></ul><h3 class="jobSectionHeader">
Semantic Layer Experience</h3><ul><li>
Hands-on experience with semantic layers such as dbt, cube.dev, or similar tools</li><li>
Ability to ensure standardized metrics and consistent data definitions</li></ul><h3 class="jobSectionHeader">
Business Data Analysis</h3><ul><li>
Strong analytical mindset with a focus on generating actionable business insights</li></ul><h3 class="jobSectionHeader">
Stakeholder Collaboration</h3><ul><li>
Excellent communication skills to engage with both technical and non-technical stakeholders</li></ul><h3 class="jobSectionHeader">
Documentation &amp; Best Practices</h3><ul><li>
Strong documentation skills for reporting processes, data sources, and calculations</li></ul><h3 class="jobSectionHeader">
Performance Optimization</h3><ul><li>
Knowledge of monitoring and optimizing report performance and user experience</li></ul><h3 class="jobSectionHeader">
Training &amp; Support</h3><ul><li>
Experience in training end-users and supporting adoption of BI tools</li></ul>
8ZpmBM5Qdl</div>

Senior Reporting Analyst

<div><h2 class="jobSectionHeader">Job Title: Senior Reporting Analyst 
 
Must be a Arabic Speaker 
</h2><h3 class="jobSectionHeader">
Job Purpose</h3>
The Senior Reporting Analyst is responsible for developing, managing, and optimizing data visualizations and reports to support data-driven decision-making across the organization. This role primarily focuses on Power BI, with the flexibility to work on additional reporting platforms such as Metabase, Apache Superset, or similar tools.
The position requires strong business data analysis capabilities and close collaboration with stakeholders to gather requirements, translate them into actionable insights, and ensure reporting solutions align with organizational objectives.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
1. Report Development &amp; Visualization</h3><ul><li>
Design, develop, and optimize interactive dashboards and reports in Power BI</li><li>
Ensure data accuracy, usability, and adherence to visualization best practices</li></ul><h3 class="jobSectionHeader">
2. Cross-Platform Reporting Flexibility</h3><ul><li>
Develop and maintain reports across multiple BI platforms (e.g., Metabase, Apache Superset)</li><li>
Ensure consistency, quality, and standardization of reports across tools</li></ul><h3 class="jobSectionHeader">
3. Business Data Analysis &amp; Insights</h3><ul><li>
Perform in-depth business data analysis to identify trends, insights, and opportunities</li><li>
Provide actionable recommendations to support informed decision-making</li></ul><h3 class="jobSectionHeader">
4. Requirement Gathering &amp; Stakeholder Collaboration</h3><ul><li>
Collaborate with business stakeholders to understand reporting needs</li><li>
Translate business requirements into effective reporting and visualization solutions</li></ul><h3 class="jobSectionHeader">
5. Documentation &amp; Reporting Standards</h3><ul><li>
Maintain clear documentation of reports, dashboards, data sources, calculations, and assumptions</li><li>
Ensure transparency, governance, and reproducibility of reporting assets</li></ul><h3 class="jobSectionHeader">
6. Performance Monitoring &amp; Optimization</h3><ul><li>
Monitor and optimize report and dashboard performance</li><li>
Ensure scalability, responsiveness, and efficient data refresh across platforms</li></ul><h3 class="jobSectionHeader">
7. SQL Development</h3><ul><li>
Design, write, and optimize complex SQL queries</li><li>
Support data extraction, transformation, and reporting requirements</li></ul><h3 class="jobSectionHeader">
8. Training &amp; Knowledge Sharing</h3><ul><li>
Provide training and ongoing support to end-users</li><li>
Improve data literacy and adoption of Power BI and other reporting tools</li></ul><h2 class="jobSectionHeader"> 
Minimum Qualifications</h2><ul><li>
Bachelor&rsquo;s degree in Business Administration, Information Systems, or a related field</li><li>
Master&rsquo;s degree or equivalent experience is preferred</li></ul><h2 class="jobSectionHeader"> 
Minimum Experience</h2><ul><li>
5+ years of experience in data analysis, business intelligence, or reporting</li><li>
Strong focus on Power BI, with flexibility to work on other reporting platforms</li></ul><h2 class="jobSectionHeader"> 
Competencies (Knowledge, Skills, and Abilities)</h2><h3 class="jobSectionHeader">
Power BI &amp; Cross-Platform Reporting</h3><ul><li>
Advanced Power BI skills, including DAX and Power Query</li><li>
Ability to work across tools such as Metabase, Apache Superset, or similar platforms</li></ul><h3 class="jobSectionHeader">
SQL Expertise</h3><ul><li>
Expert-level SQL skills for writing, optimizing, and troubleshooting complex queries</li></ul><h3 class="jobSectionHeader">
Semantic Layer Experience</h3><ul><li>
Hands-on experience with semantic layers such as dbt, cube.dev, or similar tools</li><li>
Ability to ensure standardized metrics and consistent data definitions</li></ul><h3 class="jobSectionHeader">
Business Data Analysis</h3><ul><li>
Strong analytical mindset with a focus on generating actionable business insights</li></ul><h3 class="jobSectionHeader">
Stakeholder Collaboration</h3><ul><li>
Excellent communication skills to engage with both technical and non-technical stakeholders</li></ul><h3 class="jobSectionHeader">
Documentation &amp; Best Practices</h3><ul><li>
Strong documentation skills for reporting processes, data sources, and calculations</li></ul><h3 class="jobSectionHeader">
Performance Optimization</h3><ul><li>
Knowledge of monitoring and optimizing report performance and user experience</li></ul><h3 class="jobSectionHeader">
Training &amp; Support</h3><ul><li>
Experience in training end-users and supporting adoption of BI tools</li></ul>
52SNHvB8vZ</div>

<div><h2 class="jobSectionHeader">Power BI + SSAS Developer</h2>
 Location: Remote (UAE Time Zone) 
 Experience: 5+ Years 
 Availability: Immediate joiners or candidates who can start within 30 days preferred 
Mandatory Requiremet : SSAS
<h3 class="jobSectionHeader">Role Overview</h3>
We are looking for a skilled Power BI + SSAS Developer to design and develop interactive dashboards, semantic models, and analytics solutions that support data-driven business decisions.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and build Power BI dashboards and reports based on business requirements.</li><li>
Develop DAX measures, calculated columns, and hierarchies for data models.</li><li>
Create and maintain semantic models in Power BI and SSAS.</li><li>
Connect Power BI to data lakes, warehouses, APIs, and relational databases.</li><li>
Implement data transformations and cleansing using Power Query (M).</li><li>
Configure incremental refreshes, aggregations, and dataflows for large datasets.</li><li>
Optimize report performance and query execution.</li><li>
Manage workspaces, datasets, and refresh schedules in Power BI Service.</li><li>
Enforce data security and row-level security (RLS) policies.</li><li>
Integrate CI/CD pipelines for BI deployment and monitoring.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of hands-on experience in Power BI and SSAS development.</li><li>
Strong knowledge of DAX, data modeling, and Power Query (M).</li><li>
Experience with large-scale datasets, performance tuning, and automation.</li><li>
Familiarity with DevOps practices for BI deployment.</li><li>
Strong analytical mindset and attention to detail.</li></ul>
XXLx6QVqtC</div>

Power BI Developer

<div>Job Description: Data Scientist (MLOps, CI/CD, Generative AI) 
Experience : 4 to 6 Years 
Location: Isb / Hybrid 
 
About the Role
We are seeking a Full Stack Data Scientist with strong expertise in MLOps, CI/CD, and Generative AI to join our growing AI/ML team. This role is highly dynamic and requires a balance of technical excellence, customer-facing skills, and business acumen.
You will be responsible for the end-to-end machine learning lifecycle&mdash;from data exploration and model development to deployment and optimization. A key part of the role is engaging with customers, understanding their business challenges, and delivering impactful Proof of Concepts (POCs) that build trust and demonstrate value.
Candidates with hands-on expertise in statistical models, traditional ML, deep learning architectures, time series forecasting, and financial modeling will be strongly preferred.
Experience with GPUs, CUDA, and high-performance computing is a plus, given the scale and complexity of deep learning and Generative AI workloads.
Key Responsibilities<ul><li>
Engage directly with customers to understand business problems and translate them into data science solutions.</li><li>
Design and deliver impactful projects that clearly demonstrate value and help win new business opportunities.</li><li>
Build and deploy end-to-end ML/AI solutions across domains such as NLP, Computer Vision, Generative AI, and Forecasting.</li><li>
Develop and optimize MLOps pipelines for model training, deployment, and monitoring with CI/CD best practices.</li><li>
Implement statistical, traditional ML, and deep learning models, ensuring accuracy, scalability, and robustness.</li><li>
Create time series and financial forecasting models for predictive analytics in business and finance use cases.</li><li>
Apply Generative AI methods (LLMs, RAG, LangChain, Hugging Face, Diffusion Models) to enterprise use cases.</li><li>
Optimize training and inference with GPU acceleration and CUDA where applicable.</li><li>
Ensure production-grade deployment with monitoring, drift detection, and retraining strategies.</li><li>
Collaborate with product managers, engineers, and stakeholders to align technical solutions with business outcomes.</li><li>
Stay updated with industry trends and bring innovative AI/ML solutions to customer engagements.</li></ul>
Required Qualifications<ul><li>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li></ul><ul><li>
Experience: 3+ years of professional experience in end-to-end ML/AI solution delivery.</li><li>
Technical Expertise:</li><li>
Statistical models (hypothesis testing, regression, time series analysis).</li><li>
Traditional ML (SVM, decision trees, ensemble methods, clustering, recommendation systems).</li><li>
Deep Learning (CNNs, RNNs, LSTMs/GRUs, Transformers, GANs, Diffusion Models).</li><li>
Time Series &amp; Financial Models (ARIMA, Prophet, advanced LSTM/GRU models, risk prediction).</li><li>
Generative AI (LLMs, RAG, LangChain, Hugging Face Transformers, OpenAI APIs).</li><li>
Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels, TensorFlow, PyTorch).</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).</li><li>
Strong knowledge of CI/CD workflows (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).</li><li>
Experience with cloud platforms (AWS, Azure, GCP) for ML deployment and scaling.</li><li>
Strong understanding of Docker, Kubernetes, and production deployment.</li><li>
Excellent communication and presentation skills to face customers confidently.</li><li>
Proven ability to translate customer requirements into POCs and production solutions..</li></ul>
Preferred/Bonus Skills<ul><li>
Experience with GPUs, CUDA, and high-performance model training.</li><li>
Familiarity with real-time inference frameworks (TensorRT, Triton, TorchServe, FastAPI).</li><li>
Knowledge of feature stores (Feast, Tecton) and monitoring tools (Evidently, WhyLabs, Prometheus, Grafana).</li><li>
Exposure to financial services, supply chain, or enterprise AI domains.</li><li>
Track record of winning client trust through successful POCs and solution delivery.</li><li>
Contributions to open-source ML/AI projects.</li></ul>
muKNVCbdCc</div>

Data Scientist

<div><h2 class="jobSectionHeader">Job Title: Data Engineer (2 Positions)</h2>
Experience: 6&ndash;7 Years 
Location: Remote / Hybrid 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking talented and experienced Data Engineers with 6&ndash;7 years of hands-on experience in designing, developing, and maintaining large-scale data solutions. The ideal candidates will have a strong background in building robust ETL frameworks, complex data pipelines, and working with big data technologies. This role requires a blend of technical expertise, problem-solving skills, and the ability to work collaboratively with cross-functional teams to deliver reliable and scalable data systems supporting analytics and business intelligence.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable ETL/ELT frameworks and complex data pipelines.</li><li>
Build and optimize data processing jobs using big data technologies and modern data frameworks.</li><li>
Ensure data accuracy, consistency, and reliability across multiple data platforms.</li><li>
Collaborate with data scientists, analysts, and business stakeholders to transform business requirements into data-driven technical solutions.</li><li>
Troubleshoot, debug, and optimize existing workflows for performance and scalability.</li><li>
Implement best practices for data governance, version control, and performance monitoring.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
6&ndash;7 years of hands-on experience in data engineering and ETL design.</li><li>
Proficiency in SQL and strong experience with one or more ETL tools such as Talend, Informatica, or dbt.</li><li>
Expertise in big data technologies including Apache Spark, Hadoop, and Kafka.</li><li>
Solid programming skills in Python or Scala.</li><li>
Strong understanding of data modeling, data integration, and data quality management.</li><li>
Experience with cloud data platforms (AWS, Azure, or GCP) is a strong plus.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience working in agile data environments.</li><li>
Exposure to data warehousing or data lake architectures.</li><li>
Familiarity with DevOps practices and CI/CD for data pipelines.</li></ul>
lhr1NSVLnW</div>

Data Engineer

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
RE2l5yQYY6</div>

AI Data Scientist

Join Datamatics Global Services Ltd and explore 9   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Datamatics Global Services Ltd

ABOUT_COMPANY

Senior Java Developer - FileNet

Senior Reporting Analyst

Senior Reporting Analyst

Power BI Developer

Data Scientist

Data Engineer

AI Data Scientist