Urwah Admin

Codvo.ai

<div><div><div><p>Job Title: Senior Product Manager &ndash; Digital Transformation (Asset-Heavy Industries)</p><p></p><p><br>
Company Overview:</p><p>
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.</p><p></p><p><br>
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.</p><p></p><p><br>
About the Role:</p><p>
We are seeking a seasoned Senior Product Manager with a strong background in digital transformation and a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities. This role is ideal for a strategic thinker who thrives in complex environments and can drive product innovation through agile methodologies and stakeholder collaboration.</p><p></p><p><br>
Key Responsibilities:</p><p></p><p><br>
 Product Strategy &amp; Vision:</p><ul><li>Define and communicate a clear product vision aligned with business goals and industry trends.</li><li>Develop and maintain product roadmaps, ensuring strategic alignment with organizational objectives.</li></ul><p></p><p><br>
Stakeholder Engagement:</p><ul><li>Collaborate with cross-functional teams including engineering, data science, operations, and business units.</li><li>Manage relationships with internal and external stakeholders to gather requirements and ensure product-market fit.</li></ul><p></p><p><br>
 Agile Product Development:</p><ul><li>Lead Agile/Scrum ceremonies and ensure timely delivery of product features.</li><li>Prioritize backlogs and manage sprint planning in collaboration with engineering teams.</li></ul><p></p><p><br>
 Business Analysis &amp; Market Insight:</p><ul><li>Conduct market research, competitive analysis, and customer interviews to inform product decisions.</li><li>Translate business needs into detailed product requirements and user stories.</li></ul><p></p><p><br>
 AI-Enabled Solutions:</p><ul><li>Work closely with data and AI teams to explore and integrate AI-driven capabilities into products.</li><li>Evaluate emerging technologies and their applicability to asset-heavy industry challenges.</li></ul><p></p><div><p><br>
Qualifications:</p></div><div><ul><li>Education:</li></ul></div><div><ul><li>Bachelor&rsquo;s degree in Engineering, IT, or Business.</li></ul></div><div><ul><li>MBA or equivalent advanced degree preferred.</li></ul></div><ul><li>Experience:</li><li>10+ years in the digital industry.</li><li>5+ years as a Product Manager with a proven track record of successful product launches.</li><li>3+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul><p></p><p><br>
Skills &amp; Competencies:</p><ul><li>Strong proficiency in Agile/Scrum methodologies.</li><li>Excellent stakeholder management and communication skills.</li><li>Deep understanding of business analysis and translating insights into product features.</li><li>Ability to ensure strategic alignment across teams and initiatives.</li><li>Exposure to AI-enabled solutions and data-driven product development is a strong plus.</li><li>Comfortable working in fast-paced, ambiguous environments with a high degree of autonomy.</li></ul></div></div></div><p></p>

Senior Product Manager – Digital Transformation (Asset-Heavy Industries) (Doha, Qatar)

<div><div><div><div><b>Company Overview</b><br>
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.</div><div>
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.</div><div><b>
</b></div><div><b>
About the Role</b></div><div>
We are looking for an experienced QA Lead &ndash; AI Systems to lead the validation and quality assurance of AI-powered products, including LLM/RAG systems, Software as a Medical Device (SaMD), and other AI-driven digital solutions.</div><div>
This is a key leadership role responsible for establishing end-to-end QA frameworks, validation strategies, and compliance processes for AI/ML models across development and deployment pipelines. The ideal candidate will bridge data science, software engineering, and regulatory QA to ensure AI systems meet performance, safety, and compliance standards.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Own and drive QA strategy for AI systems across the model, data, and product lifecycle.</li><li>
Lead AI model validation efforts, covering LLM/RAG testing, bias analysis, and performance evaluation.</li><li>
Define and implement AI Evaluation Metrics (accuracy, fairness, drift, explainability) aligned with business and regulatory expectations.</li><li>
Establish frameworks for Explainability Testing (SHAP, LIME, XAI) and ensure interpretability of AI outcomes.</li><li>
Collaborate with Data Science and MLOps teams to validate models within cloud environments (Azure ML, AWS Sagemaker, Vertex AI).</li><li>
Drive verification and validation (V&amp;V) for AI models and applications under FDA and SaMD compliance frameworks.</li><li>
Ensure test traceability, documentation, and audit readiness in line with ISO 13485, IEC 62304, and ISO 14971.</li><li>
Develop Python-based automation for AI testing, data validation, and model evaluation pipelines.</li><li>
Provide technical leadership to QA teams, ensuring alignment with AI/ML development best practices.</li><li>
Collaborate with cross-functional teams (Product, Data, Regulatory, Engineering) to identify risks, gaps, and opportunities for test optimization.</li><li>
Present validation findings, risks, and recommendations to senior stakeholders and regulatory reviewers.</li></ul><div></div><div><b><br>
Required Qualifications</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Biomedical Engineering, or related field.</li><li>
8&ndash;12 years of total QA experience, with 2&ndash;3 years directly in AI/ML or GenAI QA.</li><li>
Proven experience in AI Model Validation, LLM/RAG Testing, and AI Evaluation Metrics.</li><li>
Strong knowledge of MLOps concepts and cloud platforms (Azure ML, AWS Sagemaker, Vertex AI).</li><li>
Understanding of FDA AI/ML Compliance, SaMD testing, and regulated software QA.</li><li>
Hands-on expertise in Python automation and testing AI/ML pipelines.</li><li>
Excellent documentation and communication skills with ability to produce traceable validation artifacts</li></ul></div></div></div><p></p>

QA Lead – AI/ML Systems

<div><div><div><p><b>Job Description:</b></p><p><b>
Data Engineer &ndash; Databricks</b></p><p></p><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p><p></p><p><b><br>
Role Overview</b></p><p>
We are looking for a highly skilled Data Engineer a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities and expertise in Databricks to design, develop, and optimize end-to-end data pipelines, data platforms, and analytics solutions. This role combines strong data engineering, cloud platform expertise, and software engineering skills to deliver scalable, production-grade solutions.</p><p></p><p><b><br>
Key Responsibilities</b></p><ul><li>
Design and develop ETL/ELT pipelines on Databricks (PySpark, Delta Lake, SQL).</li><li>
Architect data models (batch and streaming) for analytics, ML, and reporting.</li><li>
Optimize performance of large-scale distributed data processing jobs.</li><li>
Implement CI/CD pipelines for Databricks workflows using GitHub Actions, Azure DevOps, or similar.</li><li>
Build and maintain APIs, dashboards, or applications that consume processed data (full-stack aspect).</li><li>
Collaborate with data scientists, analysts, and business stakeholders to deliver solutions.</li><li>
Ensure data quality, lineage, governance, and security compliance.</li></ul><p></p><p><b><br>
Required Skills &amp; Qualifications</b></p><ul><li>
Core Databricks Skills:</li><li>
Strong in PySpark, Delta Lake, Databricks SQL.</li><li>
Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables.</li><li>
Programming &amp; Full Stack:</li><li>
Python (mandatory), SQL (expert).</li><li>
Exposure to Java/Scala (for Spark jobs).</li><li>
Knowledge of APIs, microservices (FastAPI/Flask), or basic front-end (React/Angular) is a plus.</li><li>
Cloud Platforms:</li><li>
Proficiency with at least one: Azure Databricks, AWS Databricks, or GCP Databricks.</li><li>
Knowledge of cloud storage (ADLS, S3, GCS), IAM, networking.</li><li>
DevOps &amp; CI/CD:</li><li>
Git, CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).</li><li>
Containerization (Docker, Kubernetes is a plus).</li><li>
Data Engineering Foundations:</li><li>
Data modeling (OLTP/OLAP).</li><li>
Batch &amp; streaming data processing (Kafka, Event Hub, Kinesis).</li><li>
Data governance &amp; compliance (Unity Catalog, Lakehouse security).</li></ul><p></p><p><b><br>
Nice-to-Have</b></p><ul><li>
Experience with machine learning pipelines (MLflow, Feature Store).</li><li>
Knowledge of data visualization tools (Power BI, Tableau, Looker).</li><li>
Exposure to Graph databases (Neo4j) or RAG/LLM pipelines.</li></ul><p></p><p><b><br>
Qualifications</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li><li>
4&ndash;7 years of experience in data engineering, with at least 2 years on Databricks.</li><li>
2+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul><p></p><p><b><br>
Soft Skills</b></p><ul><li>
Strong problem-solving and analytical skills.</li><li>
Ability to work in fusion teams (business + engineering + AI/ML).</li><li>
Clear communication and documentation abilities.</li></ul><p></p><p><br>
Domain - Oil &amp; Gas</p><p>
Location - Doha, Qatar</p></div></div></div><p></p>

Databricks Engineer (Doha, Qatar)

<div><div><div><div>At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div><div><b>
About the Role</b></div><div>
We are seeking a highly skilled and experienced Senior AI Engineer a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.<br>
You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.</div><div><b>
Responsibilities</b></div><div><b>
Generative AI Pipeline Development</b></div><ul><li><ul><li>Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads.</li><li>Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs.</li><li>Build CI/CD pipelines with integrated prompt regression testing and version control.</li><li>Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows.</li><li>Monitor system performance using tools like Langfuse or Prometheus.</li></ul></li></ul><div><b>
Data and Document Ingestion</b></div><ul><li><ul><li>Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data.</li><li>Apply preprocessing pipelines for text, images, and code.</li><li>Ensure data integrity, format consistency, and security across sources.</li></ul></li></ul><div><b>
AI Service Integration</b></div><ul><li><ul><li>Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.).</li><li>Build internal APIs for smooth backend-AI communication.</li><li>Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets.</li><li>Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy.</li></ul></li></ul><div><b>
Retrieval-Augmented Generation (RAG) Pipelines</b></div><ul><li><ul><li>Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API).</li><li>Design custom retrieval strategies for multi-modal or multi-source documents.</li><li>Apply post-retrieval ranking using DPO or feedback-based techniques.</li><li>Improve contextual relevance through re-ranking, chunk merging, and scoring logic.</li></ul></li></ul><div><b>
LLM Integration and Optimization</b></div><ul><li><ul><li>Manage prompt engineering, model interaction, and tuning workflows.</li><li>Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design.</li><li>Optimize generation using temperature tuning, token limits, and speculative decoding.</li><li>Integrate observability and cost-monitoring into LLM workflows.</li></ul></li></ul><div><b>
Backend Services Ownership</b></div><ul><li><ul><li>Design and maintain scalable backend services supporting GenAI applications.</li><li>Implement monitoring, logging, and performance tracing.</li><li>Build RBAC (Role-Based Access Control) and multi-tenant personalization.</li><li>Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production.</li></ul></li></ul><div><b>
Required Skills and Qualifications</b></div><div><b>
Education</b></div><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li></ul><div><b>
Experience</b></div><ul><li><ul><li>5+ years of experience in AI/ML engineering with end-to-end pipeline development.</li><li>Hands-on experience building and deploying LLM/RAG systems in production.</li><li>Strong experience with public cloud platforms (AWS, Azure, or GCP).</li></ul></li><li>
2+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul><div><b>
Technical Skills</b></div><ul><li><ul><li>Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch.</li><li>Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph.</li><li>Experience with RESTful API development and version control using Git.</li><li>Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval.</li><li>Familiarity with Docker, Kubernetes, and scalable microservice design.</li><li>Experience with observability tools like Prometheus, Grafana, or Langfuse.</li></ul></li></ul><div><b>
Generative AI Specific Skills</b></div><ul><li><ul><li>Knowledge of LLMs, VAEs, Diffusion Models, GANs.</li><li>Experience building structured + unstructured RAG pipelines.</li><li>Prompt engineering with safety controls, schema enforcement, and hallucination mitigation.</li><li>Experience with prompt testing, caching strategies, output filtering, and fallback logic.</li><li>Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods.</li></ul></li></ul><div><b>
Soft Skills</b></div><ul><li><ul><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent collaboration with cross-functional teams: product, QA, and DevOps.</li><li>Ability to work in fast-paced, agile environments and deliver production-grade solutions.</li><li>Clear communication and strong documentation practices.</li></ul></li></ul><div><b>
Preferred Qualifications</b></div><ul><li><ul><li>Experience with OCR, document parsing, and layout-aware chunking.</li><li>Hands-on with MLOps and LLMOps tools for Generative AI.</li><li>Contributions to open-source GenAI or AI infrastructure projects.</li><li>Knowledge of GenAI governance, ethical deployment, and usage controls.</li><li>Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI.</li></ul></li></ul></div></div></div><p></p>

AI Lead (Doha , Qatar)

Join Codvo.ai and explore 4   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.

Codvo.ai

ABOUT_COMPANY

Senior Product Manager – Digital Transformation (Asset-Heavy Industries) (Doha, Qatar)

QA Lead – AI/ML Systems

Databricks Engineer (Doha, Qatar)

AI Lead (Doha , Qatar)