Qureos Mentor

Egen Solutions Inc

<div><div><div><b>Job Description :</b></div><div></div><div><br>
We are seeking a highly motivated and experienced ML Manager/Lead Data Scientist to join our growing ML/GenAI team.</div><div></div><div><br>
You will play a key role in designing, developing and productionalizing ML/GenAI applications by evaluating models, training and/or fine tuning them. As a lead, you require a deep understanding of both machine learning algorithms and software architecture. You need to take ownership of projects from conception to deployment, collaborating with engineers and stakeholders to ensure successful project delivery.</div></div><div><div><h3 class="jobSectionHeader"><b>
What we're looking for:</b></h3><ul><ul><li>
At least 5 years of experience in designing &amp; building ML/AI applications for customer and deploying them into production</li><li>
At least 8 years of Software engineering experience in building Secure, scalable and performant applications for customers.</li><li>
At least 2 years of experience leading and mentoring ML/data science teams( 4+ team members)</li><li>
Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.</li><li>
Design, develop, and operationalize existing ML models by fine tuning, personalizing it.</li><li>
Evaluate machine learning models and perform necessary tuning.</li><li>
Develop prompts that instruct LLM to generate relevant and accurate responses.</li><li>
Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.</li><li>
Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.</li><li>
Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning strategies.</li><li>
Hands on customer experience with RAG solution or fine tuning of LLM model.</li><li>
Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.</li><li>
Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.</li><li>
Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference serving.</li><li>
Proven experience building and deploying machine learning models in production environments for real life applications</li><li>
Good understanding of natural language processing, computer vision or other deep learning techniques.</li><li>
Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).</li><li>
Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Good to Have
</b></h3><ul><ul><li>Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.</li><li>
Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.</li><li>
Experience with AutoML and vision techniques.</li><li>
Master&rsquo;s degree in statistics, machine learning or related fields.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Engineering Manager-AI/ML

<div><div><div><b>Job Overview:</b></div><div></div><div><br>
We are seeking a highly skilled <b>Senior Data Engineer</b> with deep expertise in <b>Microsoft Azure data ecosystem</b> to design, develop, and maintain scalable data pipelines and architectures. The ideal candidate will play a key role in building robust data solutions that support advanced analytics, BI, and AI workloads across the organization. This role involves working with cross-functional teams &mdash; data scientists, analysts, and business stakeholders &mdash; to ensure high-quality, secure, and performant data delivery.</div><div></div><div><b><br>
Total experience : 8 to 10 years<br>
</b></div><div></div><br>
<div><b>Key Responsibilities:</b></div></div><div><div><h3 class="jobSectionHeader"><b>
1. Data Architecture &amp; Pipeline Development</b></h3><ul><ul><li>
Design, develop, and maintain data ingestion, transformation, and storage pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics.</li><li>
Build end-to-end ETL/ELT workflows from diverse sources such as APIs, on-prem databases, SaaS applications, and data lakes.</li><li>
Implement data modeling (star schema, snowflake, data vault, etc.) for analytical and operational data stores.</li><li>
Manage data ingestion frameworks for both batch and streaming (real-time) use cases using Azure Event Hubs / Azure Stream Analytics / Kafka.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
2. Data Management &amp; Governance</b></h3><ul><ul><li>
Ensure data quality, consistency, and integrity across all environments.</li><li>
Implement and enforce data governance standards, including metadata management, lineage tracking, and data cataloging (e.g., Azure Purview).</li><li>
Manage security, compliance, and access controls using Azure Active Directory (AAD) and RBAC principles.</li><li>
Automate data validation, auditing, and monitoring workflows using modern DevOps practices.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
3. Cloud &amp; DevOps Integration</b></h3><ul><ul><li>
Manage and optimize Azure Data Lake Storage (ADLS Gen2) for cost and performance.</li><li>
Leverage Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for environment provisioning.</li><li>
Implement CI/CD pipelines for data workflows using Azure DevOps / GitHub Actions.</li><li>
Optimize compute and storage costs while maintaining scalability and resilience.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
4. Collaboration &amp; Leadership</b></h3><ul><ul><li>
Partner with data scientists, BI developers, and product teams to deliver reliable data solutions.</li><li>
Mentor junior data engineers on best practices, coding standards, and Azure services.</li><li>
Participate in architectural reviews and contribute to data platform design decisions.</li><li>
Communicate technical insights and trade-offs to non-technical stakeholders effectively.</li></ul></ul></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Core Azure Services:</b></h3><ul><ul><li>
Azure Data Factory (ADF) &ndash; pipeline orchestration, triggers, linked services, integration runtime.</li><li>
Azure Databricks &ndash; PySpark, Delta Lake, notebooks, job orchestration.</li><li>
Azure Synapse Analytics &ndash; dedicated and serverless SQL pools, data modeling, query optimization.</li><li>
Azure Data Lake Storage (ADLS Gen2) &ndash; hierarchical namespace, lifecycle management.</li><li>
Azure Functions / Logic Apps &ndash; event-driven data workflows.</li><li>
Azure Event Hubs / Kafka / Stream Analytics &ndash; real-time data ingestion.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Programming &amp; Tools:</b></h3><ul><ul><li>
Strong in Python or Scala for data transformations.</li><li>
Proficient in SQL (T-SQL, Spark SQL, or Synapse SQL).</li><li>
Experience with PySpark for distributed data processing.</li><li>
Knowledge of Git, CI/CD, and DevOps best practices.</li><li>
Familiarity with Power BI integration or other reporting tools is a plus.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Data Architecture &amp; Modeling:</b></h3><ul><ul><li>
Expertise in data warehouse design, data lakehouse architecture, and data pipelines.</li><li>
Understanding of data partitioning, indexing, and query optimization techniques.</li><li>
Experience with dimensional modeling, slowly changing dimensions, and fact tables.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Other Skills:</b></h3><ul><ul><li>
Experience with API-based data ingestion and RESTful integrations.</li><li>
Exposure to machine learning data pipelines or feature stores is a plus.</li><li>
Familiarity with cost optimization and performance tuning in Azure.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Soft Skills</b></h3><ul><ul><li>
Excellent analytical and problem-solving abilities.</li><li>
Strong communication and documentation skills.</li><li>
Ability to work in an agile, fast-paced environment.</li><li>
Proven experience collaborating in cross-functional teams.</li><li>
Self-driven with a passion for data engineering and cloud technologies.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Senior Data Engineer ( Azure )

<div><div><div><b>About the Role:</b></div><div>
Join our dynamic Data &amp; Analytics team as a Power BI Developer/Architect. This crucial role focuses on designing, developing, and maintaining scalable and high-performance business intelligence solutions using the Microsoft Power BI platform.</div><div>
Experience: 5&ndash;8 Years (with Minimum 4 Years of Direct Power BI Experience)</div><div></div><div><b><br>
Your Key Contributions:</b></div><div>
As the Power BI Developer/Architect, you will:</div><div></div><div><b><br>
Design &amp; Develop:</b> Lead the end-to-end design, development, and implementation of robust and visually compelling Power BI reports, dashboards, and data models.</div><div></div><div><b><br>
Data Architecture:</b> Architect, optimize, and manage complex datasets and data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) from various sources (SQL Server, Azure Synapse, etc.).</div><div></div><div><b><br>
Performance Tuning:</b> Utilize advanced techniques, including DAX and query optimization, to ensure fast and scalable report performance.</div><div></div><div><b><br>
Collaboration:</b> Work closely with business stakeholders, data engineers, and analysts to gather, analyze, and translate business requirements into technical specifications and BI solutions.</div><div></div><div><b><br>
Governance &amp; Administration:</b> Oversee the administration of the Power BI Service (gateways, workspaces, security, and deployment pipelines) and ensure adherence to best practices, governance, and security protocols (Row-Level Security/RLS).</div><div></div><div><b><br>
Mentorship:</b> Provide technical guidance and mentorship to junior developers and analysts on Power BI development standards and data visualization best practices.</div></div><div><div><ul><ul><li><b>
Requirements:</b></li><div>
Candidates must possess:</div><li>
Extensive hands-on experience (4+ years) developing, deploying, and managing solutions within the Microsoft Power BI ecosystem (Power BI Desktop and Service).</li><li>
Expert proficiency in DAX for creating complex measures, calculated columns, and tables.</li><li>
Strong SQL expertise for data manipulation, querying, and performance tuning of underlying data sources.</li><li>
Proven ability to design and implement data models (star/snowflake schema) that support high-performance reporting.</li><li>
Experience with Power Query/M-language for advanced data transformation and cleansing.</li>
Excellent analytical, problem-solving, and stakeholder communication skills, with the ability to present complex data insights clearly.<br>
<li>
</li><div></div><br>
<div><b>Desirable Skills (Added Advantage):</b></div><li><b>
Power BI AI Capabilities:</b> Familiarity with Power BI&rsquo;s AI features such as <b>Key Influencers</b>, <b>Smart Narratives</b>, <b>Q&amp;A (natural language queries)</b>, <b>Anomaly Detection</b>, and <b>Cognitive Services integration</b> to drive advanced analytics and insights.</li><li><b>
Knowledge of Other BI Tools:</b> Hands-on experience with Tableau or Looker (LookML) development.</li><li><b>
CRM Analytics (CRMA):</b> Prior exposure to Salesforce CRM Analytics (formerly Tableau CRM/Einstein Analytics).</li><li><b>
Scripting:</b> Knowledge of Python or R for data preparation or visualization within the BI tool.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Senior Power BI Developer/Architect

<div><div><div><b>Location:</b> Hyderabad (Hybrid)</div><div></div><div><b><br>
Experience:</b> 7+ Years<br>
</div><div></div><br>
<div><b>Focus Areas:</b> GCP Data, AI/ML, and App Modernization</div><div></div><div><b><br>
What You&rsquo;ll Do</b></div><div>
At Egen, we build what matters &mdash; intelligent <b>Data, AI, and App solutions</b> that help businesses move faster, scale smarter, and innovate confidently.</div><div>
We&rsquo;re looking for a <b>Google Cloud-focused Solution Engineer / Solution Architect</b> who thrives at the intersection of technology, business, and impact.</div><div>
You&rsquo;ll collaborate closely with our <b>US Sales, Delivery, and Marketing teams</b> to design solutions that combine data engineering, AI/ML, and application modernization. You&rsquo;ll shape proposals, estimate efforts, and bring ideas to life &mdash; transforming client challenges into practical, scalable, <b>GCP-powered outcomes</b>.</div><div>
This role is ideal for someone who is either:</div><div></div><div><br>
A <b>Pre-Sales Solution Engineer</b> who loves architecting and storytelling around client challenges,</div><div>
or</div><div>
A <b>Delivery Architect</b> with deep, hands-on <b>GCP experience</b>, eager to expand into <b>solutioning and pre-sales strategy</b>.</div><div></div><div><br>
Either way, you&rsquo;ll play a pivotal role in how Egen positions and delivers value to clients.</div><div></div><div><b><br>
A Day in the Life</b></div><div><b>
Solution Design:</b> Lead client discovery sessions to understand goals and constraints; design tailored, cloud-native solutions aligned with business needs.</div><div><b>
Product Demonstrations:</b> Deliver engaging demos, workshops, and walkthroughs showcasing the impact of GCP-powered solutions in <b>Data, AI/ML, and Agentic</b> domains.</div><div><b>
Proposal Development:</b> Collaborate with Sales and Delivery teams to create proposals, <b>LOEs</b>, and <b>SOWs</b> &mdash; including solution architectures, timelines, and commercial models.</div><div><b>
Technical Validation:</b> Advise clients on best practices, integration strategies, and deployment patterns across the GCP ecosystem.</div><div><b>
Support the Sales Cycle:</b> Assist in RFP/RFI responses, crafting solution narratives, and participating in client presentations.</div><div><b>
Stakeholder Management:</b> Build trust with technical and business stakeholders, managing queries and expectations throughout the sales journey.</div><div><b>
Collaboration &amp; Delivery Mobilization:</b> Partner with delivery teams to ensure smooth handoffs, shared success criteria, and alignment on client outcomes.</div><div><b>
Industry Expertise &amp; Thought Leadership:</b> Stay current with GCP advancements, market trends, and competitive landscapes. Represent Egen in client forums, webinars, and solution showcases.</div><div><b>
Innovation:</b> Contribute to internal <b>solution accelerators, prototypes, and reference architectures</b> for repeatable success.</div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
What You Bring</b></h3><ul><ul><li><b>
7+ years</b> of experience in <b>Solution Engineering, Pre-Sales, or Solution Architecture</b> roles.</li><li>
Strong, <b>hands-on expertise in the Google Cloud Platform (GCP)</b> and its ecosystem &mdash; particularly for <b>Data, AI/ML, and App Modernization</b>.</li><li>
Proven experience designing or supporting <b>Data Engineering, Analytics, or Generative AI</b> initiatives.</li><li>
Demonstrated ability to develop <b>technical proposals, architecture diagrams, LOEs, and SOWs</b> for complex engagements.</li><li>
Excellent presentation, communication, and storytelling skills &mdash; able to engage both technical and business audiences.</li><li>
Collaborative mindset with experience working across <b>Sales, Delivery, and Product teams</b> in global setups.</li><li>
Strong problem-solving skills &mdash; able to break down complex requirements into actionable and scalable solutions.</li><li>
Familiarity with <b>programming languages (Java/Python)</b> and <b>frontend frameworks (Angular/</b><b>React.js</b><b>)</b>.</li><li>
Exposure to <b>CI/CD</b> and <b>DevOps</b> concepts.</li><li>
Self-starter attitude &mdash; curious, adaptable, and comfortable balancing detail with big-picture thinking.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><ul><li>
Exposure to <b>Multi-cloud environments</b> (AWS or Azure).</li><li>
Experience working with <b>US-based clients</b> or distributed teams.</li><li><b>
GCP Certifications</b> (preferred).</li><li><b>
Why You&rsquo;ll Love Working at Egen</b></li><li>
You&rsquo;ll design <b>real-world, high-impact solutions</b> powered by GCP, Data, and AI innovation.</li><li>
You&rsquo;ll collaborate with brilliant, cross-functional teams that care deeply about solving meaningful problems.</li><li>
You&rsquo;ll be part of a culture that values <b>empathy, innovation, and ownership</b>.</li><li>
You&rsquo;ll have space to <b>experiment, learn, and grow</b> &mdash; shaping how clients experience cloud transformation.</li><div></div><div><br>
At Egen, we don&rsquo;t just deliver solutions &mdash; <b>we deliver impact that matters.</b> If that sounds like you, we&rsquo;d love to connect.</div></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Senior PreSales Solution Engineer / Solution Architect (GCP)

<div><div><div><b>About the Role:</b>Join our dynamic <b>Data &amp; Analytics</b> team as a <b>Senior Looker Developer</b>. This role focuses on designing, developing, and maintaining scalable and high-performance business intelligence solutions using the <b>Looker</b> platform.</div><div></div><div><b><br>
Experience:</b> 5+ Years (with Minimum 3 Years of Direct Looker Experience)</div></div><div><div><h3 class="jobSectionHeader"><b>
Your Key Contributions:
</b></h3><ul><ul><li><b>Build &amp; Maintain Complex LookML Models: </b>Design and maintain reusable, high-performance LookML models supporting business analytics.</li><li><b>
Develop Interactive Dashboards &amp; Explores: </b>Create visually compelling and interactive dashboards and Explores to provide actionable insights.</li><li><b>
Optimize Query &amp; Dashboard Performance: </b>Ensure fast query execution and scalable dashboard performance through SQL optimization and LookML best practices.</li><li><b>
Translate Business Logic into LookML Code: </b>Convert business requirements into robust, maintainable LookML code.</li><li><b>
Collaborate with Analysts &amp; Stakeholders:</b> Partner with business users, analysts, and data engineers to understand requirements and deliver impactful analytics solutions.</li><li><b>
Conduct Code Reviews &amp; Mentor Junior Developers: </b>Review LookML code for quality, performance, and adherence to standards; provide guidance to junior team members.</li><li><b>
Governance &amp; Administration: </b>Support workspace administration, permissions, and deployment workflows in Looker.</li><li><b>
Version Control &amp; CI/CD: </b>Implement Git-based version control and manage CI/CD pipelines for Looker development.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><ul><li>
Hands-on experience (3+ years) developing, deploying, and managing solutions within the <b>Looker</b> ecosystem.</li><li>
Proficiency in <b>LookML</b> for building models, derived tables, and reusable views.</li><li>
Strong SQL expertise for querying, transforming, and optimizing data from relational and cloud-based sources (BigQuery)</li><li>
Experience with advanced Looker visualizations, dashboards, and Explores.</li><li>
Excellent analytical, problem-solving, and stakeholder communication skills, with the ability to present complex data insights clearly.</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Desirable Skills (Added Advantage):</b></h3><ul><ul><li><b>
Knowledge of Other BI Tools:</b> Hands-on experience with Power BI or Tableau development.</li><li><b>
Cloud &amp; Platform Skills:</b> Experience with <b>GCP</b> (BigQuery, Cloud Storage, Dataflow, etc.) and integrating Looker with cloud-based data pipelines.</li><li><b>
Looker Extension Application:</b> Knowledge of building or customizing <b>Looker Extension Applications</b> to extend Looker functionality and embed analytics.</li><li><b>
Version Control &amp; CI/CD Expertise:</b> Strong understanding of <b>Git-based version control</b>, Looker Git integration, and managing <b>CI/CD workflows</b> for Looker development.</li><li><b>
Custom Visualization Development:</b> Experience creating <b>custom visualizations</b> in Looker using JavaScript or visualization APIs.</li></ul></ul></div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div><p></p>

Looker Developer