ai engineer

big data consultant

bigdata consultant

data ai consulting manager/sr manager Jobs in Doha

data ai consulting manager/sr manager

data engineer lead (ot data) Jobs in Doha

data engineer lead (ot data)

big data engineer

Mindstream

<p><i>Experience &amp; Qualifications:</i></p><p><i>Experience: 8&ndash;15 years in data architecture and analytics, with 2&ndash;3 full lifecycle big data implementations.</i></p><p><i>Education: Min Bachelor&rsquo;s in Information Technology</i></p><p><i>Soft Skills: Strong communication, stakeholder management</i></p><p><i>Work Experience:</i></p><p><i>Develop and implement Big Data solutions aligned with business objectives.</i></p><p><i>Design scalable architectures for data ingestion, storage, and processing using technologies like Hadoop, Spark, and cloud platforms OCI (preferably)</i></p><p><i>Create data models, design ETL workflows, and ensure integration with enterprise systems.</i></p><p><i>Technical Leadership:</i></p><p><i>Provide technical guidance to Project teams , customer on big data frameworks and best practices.</i></p><p><i>Oversee full lifecycle of big data projects: requirement analysis, design, development, testing, and deployment.</i></p><p><i>Location : </i><i>Qatar Doha</i></p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How many years of Big Data experience (Hadoop/Spark)?</li><li>Have you completed 2&ndash;3 full lifecycle Big Data implementations?</li><li>Do you have experience with Hadoop and Spark?</li><li>Do you have experience with cloud platforms (Preferred: OCI)?</li><li>Do you have experience with ETL workflows and data modeling?</li><li>Do you have experience designing scalable Big Data architectures?</li><li>what is your  current and expected salary? Notice period?</li></ul>

Big Data Consultant

Codvo.ai

<div><div><div><p><b>Job Description:</b><b>Data Engineer (OT Data) (Category - Engineer)</b></p><p><b>
Sector: Oil and Gas</b></p><p><b>
Location: Doha, Qatar</b></p><div><b>
Experience - 10 years</b></div><div></div><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>
The Opportunity:</b></p><p>
The Data Engineer will be a foundational architect of our delivery strategy, responsible for building and maintaining the data ecosystem required for our scoped-out use cases. You will be the crucial link between our vast, complex data sources and our advanced analytics ambitions. This involves tackling the unique challenges of the oil and gas sector, bridging the worlds of operational technology (OT)&mdash;with its real-time drilling data, SCADA systems, and seismic surveys&mdash;and information technology (IT). Your mission is to build the specific, high-performance data pipelines required to deliver our portfolio of projects. This means going beyond simple data movement; you will be creating reliable, scalable, and secure data products that serve as the fuel for our most critical AI models and analytics dashboards, directly enabling tangible business value and competitive advantage.</p><div></div><p><b><br>
Key Responsibilities:</b></p><ul><li>Architect &amp; Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines.</li><li>Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors.</li><li>Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data.</li><li>Data Modelling &amp; Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics.</li><li>Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data.</li><li>Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise.</li><li>Ensure Data Quality &amp; Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies.</li><li>Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU&trade; Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle.</li><li>Collaborate &amp; Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions.</li><li>Automate &amp; Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness.</li><li>Security First: Implement and maintain security best practices to protect our sensitive and proprietary data assets.</li></ul><p></p><p><b><br>
Required Skills and Qualifications:</b></p><ul><li>Bachelor's in engineering, Information Systems, or a related quantitative field.</li><li>5+ years of proven experience in a data engineering role.</li><li>Experience within oil and gas industry is highly preferred.</li><li>Demonstrable experience building and operationalizing large-scale data pipelines and applications.</li></ul><p></p><p><b><br>
Technical Proficiencies:</b></p><p></p><ul><li><br>
Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>Familiarity with historian systems (e.g., OSIsoft PI System) and their data structures.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience working with industrial communication protocols (e.g., OPC UA, Modbus TCP/IP).</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Professional certifications in Azure or Databricks.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul><p></p><p><b><br>
Domain - Oil &amp; Gas</b></p><p><b>
Location - Doha, Qatar</b></p></div></div></div><p></p>

Data Engineer Lead (OT Data)

<p>Role: BigData Consultant</p><p>Duration: 1 year and extendable</p><p>Location: Qatar</p><p>Salary:18000 QAR</p><p>Experience: 8-15 Years</p><p>Education: Bachelor degree is must</p><p>&middot; 2&ndash;3 full lifecycle big data implementations.</p><p>&middot; Develop and implement Big Data solutions aligned with business objectives.</p><p>&middot; Design scalable architectures for data ingestion, storage, and processing using technologies like Hadoop, Spark, and cloud platforms OCI (preferably)</p><p>&middot; Create data models, design ETL workflows, and ensure integration with enterprise systems.</p><p>&middot;</p><p>&middot; Provide technical guidance to Project teams , customer on big data frameworks and best practices.</p><p>&middot; Oversee full lifecycle of big data projects: requirement analysis, design, development, testing, and deployment.</p><p>Forward resume to careers@mind-stream.net</p><p>WhatsApp 974 30107270</p><p>Job Type: Full-time</p><p>Pay: QAR18,000.00 per month</p>

BigData Consultant

COZMALABS

<p>We are seeking an experienced <b>Data Engineer</b> to join our team on a full-time basis. The ideal candidate will have a strong background in designing, building, and optimizing data pipelines, with a particular focus on enabling AI-driven solutions. This role involves close collaboration with software and AI engineering teams to ensure seamless, reliable data flows and robust cloud-based data integration within Microsoft Azure.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI initiatives.</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in Azure cloud environments.</li><li>Collaborate with AI engineers to prepare, structure, and deliver high-quality datasets for machine learning models.</li><li>Ensure data pipelines meet security, reliability, and performance standards.</li><li>Monitor, troubleshoot, and improve pipeline performance to guarantee timely and accurate data delivery.</li><li>Implement data governance practices and ensure compliance with data security policies.</li></ul><p><b>Required Qualifications</b></p><ul><li>Proven experience as a Data Engineer, particularly in building and maintaining complex pipelines for AI or machine learning projects.</li><li>Strong proficiency in SQL and hands-on experience with relational databases (PostgreSQL, SQL Server) and NoSQL systems (e.g., MongoDB).</li><li>Expertise in Azure-based data solutions such as Azure Data Factory, Azure Synapse, and Azure Databricks.</li><li>Experience with data integration and orchestration tools (e.g., Apache Airflow).</li><li>Proficiency in at least one programming language for data workflows (e.g., Python).</li><li>Solid understanding of data warehousing concepts and best practices.</li><li>Strong analytical and problem-solving abilities.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Proficiency in English, both written and spoken.</li></ul><p><b>Desirable Qualifications</b></p><ul><li>Familiarity with machine learning concepts and data preprocessing techniques.</li><li>Knowledge of containerization technologies such as Docker and Kubernetes for deploying data pipelines.</li></ul><p>Job Type: Full-time</p>

Data Engineer.

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Data Architect - Google Cloud Platform
</div></div><div><div>Ref #
</div><div>229074
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 09-Dec-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About Your Job:</b></p><p>
In this role, you are responsible for designing data solutions that meets the business needs of the organisation. This includes translating business requirements into data products, creating data models, defining data architecture, and ensuring data integrity, security, scalability and performance tailored to the specific needs of the initiative. You also will work closely with business stakeholders, data engineers, product owners and data analysts to ensure that data products are aligned with business objectives.</p><p><b>
Key Responsibilities:</b></p><ul><li>Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions.</li><li>Leveraging strong business acumen, translate business requirements to create solution artefacts to build data products.</li><li>Develop solution proposals that provide details of project scope, approach, deliverables and timeline.</li><li>Design data models, ensuring accuracy, integrity, and performance.</li><li>Ensure the scalability and performance of data solutions.</li><li>Ensure the data security of the data products.</li><li>Ensure the solution is optimized for cost-efficiency.</li><li>Select appropriate technologies and tools offered by organisations&rsquo; self-serve data platform for building the data products.</li><li>Prepare key design decisions, and an ability to demonstrate structured consideration of multiple options (comparing competing technologies, functional design approaches etc).</li><li>Guide the data engineers in solution development.</li><li>Oversee and ensure the implementation of the solution defined.</li><li>Provide solution oversight to IT and business stakeholders.</li></ul><p><b>
Be part of an extraordinary story:</b><br>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.<br>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.<br>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Experience &amp; Knowledge</b><b>:</b></p><ul><li>Bachelor&rsquo;s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration).</li><li>6+ years of experience Big Data, data warehouse, data analytics projects, with at least 3 years in solution architect role.</li><li>Strong knowledge of GCP services: BigQuery, Cloud Storage, Dataflow, Cloud Composer, Pub/Sub, Dataproc.</li><li>Hands-on experience with programming languages (Python, SQL).</li><li>Prior experience building large scale enterprise data architectures using commercial and/or open-source Data Analytics technologies.</li><li>Solid understanding of security principles, IAM, and compliance frameworks.</li><li>Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence solutions, including Data Lakes/Lakehouses.</li><li>Strong understanding of data quality principles and methodologies.</li><li>Data modelling and solutioning skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as Kimball, Inmon, data vault etc.</li><li>Excellent problem-solving skills and the ability to troubleshoot complex data issues.</li><li>Strong communication and collaboration skills to work effectively with cross-functional teams</li><li>Knowledge of data mesh architecture.</li><li>Knowledge of airline domain.</li><li>Knowledge of agile/lean development methodologies.</li><li>GCP certifications are a plus.</li></ul><p><b>
About Qatar Airways Group:</b><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><p><b>
How to apply:</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=229074</div></div></div></div></div></div></div></div>

Data Architect - Google Cloud Platform

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 <br/>
 <br/>
 <strong>
  Our Purpose -
 </strong>
 <strong>
  Bridging the World Through Travel
  <br/>
  <br/>
 </strong>
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 <br/>
 <br/>
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 <br/>
 <br/>
 <strong>
  Get to Know Our Team
  <br/>
  <br/>
 </strong>
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 <br/>
 <br/>
 <strong>
  Why Agoda Engineering Team (ML role)?
  <br/>
  <br/>
 </strong>
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
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 <br/>
 <strong>
  In this Role, you will get to:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines.
  </li>
  <li>
   Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
  </li>
  <li>
   Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
  </li>
  <li>
   Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
  </li>
  <li>
   Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
  </li>
  <li>
   We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll need to Succeed:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in ML
  </li>
  <li>
   Expert in SQL, Python3, and JVM based programming language &ndash; ie, Java or Scala
  </li>
  <li>
   Expert in software design/design patterns, functional programming and object-oriented programming.
  </li>
  <li>
   Analytical problem-solving capabilities &amp; experience. A strong engineering driven mindset will be required to succeed in this role.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;s great if you have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Good understanding of Hadoop ecosystems and Big Data architecture and techologies
  </li>
  <li>
   Experience working with Open-source products
  </li>
  <li>
   Experience with Scala development
  </li>
  <li>
   Working in an agile environment using test driven methodologies
  </li>
  <li>
   Systems administration skills in Linux
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hybrid Working Model
  </li>
  <li>
   WFH Set Up Allowance
  </li>
  <li>
   30 Days of Remote Working from anywhere globally every year
  </li>
  <li>
   Employee discount for accommodation globally
  </li>
  <li>
   Global team of 90+ nationalities
  </li>
  <li>
   40+ offices and 25+ countries
  </li>
  <li>
   Annual CSR / Volunteer Time off
  </li>
  <li>
   Benevity Subscription for employee donations
  </li>
  <li>
   Volunteering opportunities globally
  </li>
  <li>
   Free Headspace subscription
  </li>
  <li>
   Free Odilo &amp; Udemy subscriptions
  </li>
  <li>
   Access to Employee Assistance Program (third party for personal and workplace support)
  </li>
  <li>
   Enhanced Parental Leave
  </li>
  <li>
   Life, TPD &amp; Accident Insurance
   <br/>
   <br/>
  </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester  #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester  #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Agoda Careers https://careersatagoda.com
  </li>
  <li>
   Facebook https://www.facebook.com/agodacareers/
  </li>
  <li>
   LinkedIn https://www.linkedin.com/company/agoda
  </li>
  <li>
   YouTube https://www.youtube.com/agodalife
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
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</div>


Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

Super Micro Computer, Inc.

<div><div><p>Technology Enablement and AI Engineer</p><p></p><div><br>
</div></div><p><b>Date: </b>Nov 25, 2025
</p><p><b>Location:</b> Qatar - Doha
</p><p><b>Company: </b>Super Micro Computer
</p><div><div><div><div><div><b>Job Req ID: 28056</b></div>
</div></div><div></div><div><div><div><b>About Supermicro:</b></div>
</div><div><div>
Supermicro&reg; is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are amongst the fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer many new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us to drive accelerated growth and technology-led innovation in the global marketplace.</div>
</div></div><div><div><div><b>
Job Summary:</b></div>
</div><div><div>
We are seeking a highly skilled AI Engineer who lives and breathes new technology. This role is for someone who not only builds AI models but understands the full lifecycle of an AI system&mdash;from concept to deployment&mdash;and knows how to optimize it on cutting-edge hardware. You will be responsible for designing, developing, and deploying high-performance AI solutions that leverage Supermicro's state-of-the-art server and cluster technologies. The ideal candidate is passionate about the &quot;newest trends in AI applications&quot;, and is driven to find the most efficient ways to run them at scale.</div></div></div><div><div><div><b>
Essential Duties and Responsibilities:</b></div>
</div><div><ul><li>Design, build, and maintain scalable, production-grade AI systems, managing the complete MLOps lifecycle (data ingestion, preprocessing, training, validation, deployment, and monitoring).</li>
<li>Profile, benchmark, and optimize AI/ML workloads (both training and inference) to extract maximum performance from Supermicro's advanced hardware platforms. By optimizing AI applications to run faster and more efficiently on Supermicro hardware, you directly contribute to sales and prove our technical leadership.</li>
<li>Actively research and implement the latest AI trends, models, and frameworks (e.g., LLMs, diffusion models, new training techniques) to ensure our solutions remain best-in-class.</li>
<li>Enable Customers: You will help build the &quot;recipes&quot; that allow our customers to successfully deploy their own AI solutions on our platforms.</li>
</ul></div></div><div><div><div><b>Qualifications:</b></div>
</div><div><ul><li>Proven experience (2+ years) as an AI Engineer, Machine Learning Engineer, or similar.</li>
<li>Expertise in Python and deep proficiency with modern AI frameworks (e.g., PyTorch, TensorFlow, JAX).</li>
<li>Experience with the MLOps lifecycle, including tools like Kubernetes, Docker, Kubeflow, or similar.</li>
<li>Understanding of NVIDIA GPUs and the CUDA ecosystem. Experience with performance profiling tools (e.g., Nsight, TensorRT) is critical.</li>
<li>Hands-on experience with Large Language Models (LLMs), including fine-tuning and efficient inference.</li>
<li>A genuine curiosity and passion for new technology, with a proactive drive to learn and experiment.</li>
</ul></div></div><div><div><div><b>EEO Statement</b></div>
</div><div><div>
Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.</div></div></div></div></div></div><p></p>

Technology Enablement and AI Engineer

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