data systems engineer

Qorvo

<div><div><div><div><div><p>Data Systems Engineer
</p></div></div></div></div><div><div><div><div><b>Experience Level: </b>Professional
</div></div></div></div><div><div><div><div><b>Job Type: </b>Regular
</div></div></div></div><div><div><div><div><b>Location:
</b>Bangalore, WB, IN, 560032
</div></div></div></div><div><div><div><div><b>Requisition ID: </b>9836
</div></div></div></div><div></div><div><div><div><div><div>Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.</div><br>
<div></div>
<div>
As a Systems Data Engineer, you will be part of the EBS Reporting Team under Qorvo&rsquo;s IT Enterprise Business Applications organization. Your primary focus will be on leading and overseeing the design, development, and management of the data infrastructure on the Databricks platform within an AWS government cloud. You will manage key client technical projects and workstreams, coordinating the work of more junior engineers, and often working alongside them. You will also partner closely with business analysts and project managers to complete projects on time, within budget and scope, and with high customer satisfaction.</div><br>
<div></div>
<div>
This is an onsite position based in Bangalore, India, with the current expectation of working five days (5) a week in the office.</div><br>
<div></div>
<div>
Qualifications</div>
<ul>
<li>B.S. in Computer Science/Engineering or relevant field; Masters degree preferred</li>
<li>5+ years of experience in the IT industry</li>
<li>5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions</li>
<li>Expert understanding of data warehousing concepts (Dimensional (star-schema), SCD2, Data Vault, Denormalized) implementing highly performant data ingestion pipelines from multiple sources</li>
<li>Expert level skills with Python / PySpark and SQL</li>
<li>Experience with CI/CD on Databricks using tools such as Unity Catalog, Jenkins, GitHub Actions, and Databricks CLI</li>
<li>Integrating the end-to-end Databricks pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained</li>
<li>Strong understanding of Data Management principles (quality, governance, security, privacy, life cycle management, cataloging)</li>
<li>Evaluating the performance and applicability of multiple tools against customer requirements</li>
<li>Working within an Agile delivery/DevOps methodology to deliver proof of concept and production implementation in iterative sprints</li>
<li>Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT)</li>
<li>Hands on experience developing batch and streaming data pipelines</li>
<li>Able to work independently</li>
<li>Energetic and self-motivated, willingness to learn and openness to change are important</li>
<li>Ability to work in a fast-paced, changing environment, and with all levels of the organization and cope with rapidly changing information</li>
<li>Experience with SAP ECC or S/4, AWS Redshift, Power BI</li>
<li>Experience consuming CDS views from SAP S/4</li></ul><br>
<div></div>
<div>
Responsibilities</div>
<ul>
<li>Establish and grow a data engineering framework to ensure the reliability, scalability, quality, and efficiency of data pipelines, storage, processing, and integration</li>
<li>Establish data pipelines to ingest and curate data containing SAP business content from S/4 to Databricks</li>
<li>Improve, maintain and execute the data strategy at Qorvo including governance, project prioritization, resourcing, and value delivery</li>
<li>Follow the Medalion Architecture (Bronze, Silver, Gold) to logically organize data in a lakehouse, with the goal of incrementally and progressively improving the structure and quality of data as it flows</li>
<li>Work effectively in an Agile Scrum environment</li>
<li>Create technical, functional, and operational documentation for data pipelines and applications</li>
<li>Use business requirements to drive the design of data solutions/applications and technical architecture</li>
<li>Work with other developers, designers, and architects to ensure data applications meet requirements and performance, data security, and analytics goals</li>
<li>Work with test team efficiently and effectively structure requirements, define test scenarios, and validate changes.</li>
<li>Anticipate, identify, track, and resolve issues and risks affecting delivery</li>
<li>Coordinate and participate in structured peer review/ walkthroughs/code reviews</li>
<li>Provide application/technical support</li>
<li>Maintain and/or update technical and/or industry knowledge and skills through continuous learning activities</li>
<li>Adhere to lean principles and standard processes to ensure continuous improvement</li>
<li>Communicate clearly and effectively</li></ul><br>
<div></div>
<div>
#LI-NL1</div><div></div><div><br>
MAKE A DIFFERENCE AT QORVO</div>
<div> We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets &ndash; we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.</div>
<div>We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.</div><br>
</div></div></div></div><div></div><br>
<div><div><p>Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.</p></div></div></div><p></p>

Data Systems Engineer

<div><div><div><div><div><p>Sr Data Systems Engineer
</p></div></div></div></div><div><div><div><div><b>Experience Level: </b>Professional
</div></div></div></div><div><div><div><div><b>Job Type: </b>Regular
</div></div></div></div><div><div><div><div><b>Location:
</b>Bangalore, WB, IN, 560032
</div></div></div></div><div><div><div><div><b>Requisition ID: </b>9837
</div></div></div></div><div></div><div><div><div><div><div>Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.</div><br>
<div></div>
<div>
As a Systems Data Engineer, you will be part of the EBS Reporting Team under Qorvo&rsquo;s IT Enterprise Business Applications organization. Your primary focus will be on leading and overseeing the design, development, and management of the data infrastructure on the Databricks platform within an AWS government cloud. You will manage key client technical projects and workstreams, coordinating the work of more junior engineers, and often working alongside them. You will also partner closely with business analysts and project managers to complete projects on time, within budget and scope, and with high customer satisfaction.</div><br>
<div></div>
<div>
This is an onsite position based in Bangalore, India, with the current expectation of working five days (5) a week in the office.</div><br>
<div></div>
<div>
Qualifications</div>
<ul>
<li>B.S. in Computer Science/Engineering or relevant field; Masters degree preferred</li>
<li>5+ years of experience in the IT industry</li>
<li>5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions</li>
<li>Expert understanding of data warehousing concepts (Dimensional (star-schema), SCD2, Data Vault, Denormalized) implementing highly performant data ingestion pipelines from multiple sources</li>
<li>Expert level skills with Python / PySpark and SQL</li>
<li>Experience with CI/CD on Databricks using tools such as Unity Catalog, Jenkins, GitHub Actions, and Databricks CLI</li>
<li>Integrating the end-to-end Databricks pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained</li>
<li>Strong understanding of Data Management principles (quality, governance, security, privacy, life cycle management, cataloging)</li>
<li>Evaluating the performance and applicability of multiple tools against customer requirements</li>
<li>Working within an Agile delivery/DevOps methodology to deliver proof of concept and production implementation in iterative sprints</li>
<li>Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT)</li>
<li>Hands on experience developing batch and streaming data pipelines</li>
<li>Able to work independently</li>
<li>Energetic and self-motivated, willingness to learn and openness to change are important</li>
<li>Ability to work in a fast-paced, changing environment, and with all levels of the organization and cope with rapidly changing information</li>
<li>Experience with SAP ECC or S/4, AWS Redshift, Power BI</li>
<li>Experience consuming CDS views from SAP S/4</li></ul><br>
<div></div>
<div>
Responsibilities</div>
<ul>
<li>Establish and grow a data engineering framework to ensure the reliability, scalability, quality, and efficiency of data pipelines, storage, processing, and integration</li>
<li>Establish data pipelines to ingest and curate data containing SAP business content from S/4 to Databricks</li>
<li>Improve, maintain and execute the data strategy at Qorvo including governance, project prioritization, resourcing, and value delivery</li>
<li>Follow the Medalion Architecture (Bronze, Silver, Gold) to logically organize data in a lakehouse, with the goal of incrementally and progressively improving the structure and quality of data as it flows</li>
<li>Work effectively in an Agile Scrum environment</li>
<li>Create technical, functional, and operational documentation for data pipelines and applications</li>
<li>Use business requirements to drive the design of data solutions/applications and technical architecture</li>
<li>Work with other developers, designers, and architects to ensure data applications meet requirements and performance, data security, and analytics goals</li>
<li>Work with test team efficiently and effectively structure requirements, define test scenarios, and validate changes.</li>
<li>Anticipate, identify, track, and resolve issues and risks affecting delivery</li>
<li>Coordinate and participate in structured peer review/ walkthroughs/code reviews</li>
<li>Provide application/technical support</li>
<li>Maintain and/or update technical and/or industry knowledge and skills through continuous learning activities</li>
<li>Adhere to lean principles and standard processes to ensure continuous improvement</li>
<li>Communicate clearly and effectively</li></ul><br>
<div></div>
<div>
#LI-NL1</div><div></div><div><br>
MAKE A DIFFERENCE AT QORVO</div>
<div> We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets &ndash; we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.</div>
<div>We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.</div><br>
</div></div></div></div><div></div><br>
<div><div><p>Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.</p></div></div></div><p></p>

Sr Data Systems Engineer

ByteDance

<b>Location:</b><br>
Dubai
<br><br>
<b>Team:</b><br>
Technology
<br><br>
<b>Employment Type:</b><br>
Regular
<br><br>
<b>Job Code:</b><br>
A215694
<br><br>
Responsibilities
<br><br>
Team Introduction
<br>The mission of the CSS data team is to empower the Corporate Service System Business with data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of the Workplace Service System.
<br><br>
As a data engineer in the CSS data team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem.If you're looking for a challenging ground to push your limits, this is the team for you!
<br><br>
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
<br><br>
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
<br><br>
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
<br><br>
Online Assessment
<br>Candidates who pass resume screening will be invited to participate in ByteDance 's technical online assessment.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).</li>
<li>Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.</li>
<li>Establish solid design and best engineering practice for engineers as well as non-technical people.</li>
</ul>
Qualifications
<br><br>
<b>Minimum Qualification(s):</b><br>
<ul>
<li>Completing or have recently completed a Bachelor’s degree in in Software Development, Computer Science, Computer Engineering, or a related technical discipline.</li>
<li>Proficient in Java/Python, and have solid programming skills(e.g. algorithms and data structures).</li>
<li>Familiar with Big Data technologies (Hadoop, M/R, Hive, Spark, Flink etc.).</li>
<li>Good communication and teamwork skills to clearly communicate technical concepts with other teammates.</li>
</ul>
<b>Preferred Qualifications:</b><br>
<ul>
<li>Experience with performing data analysis, data ingestion and data integration.</li>
<li>Experience with ETL(Extraction, Transformation & Loading) and architecting data systems.</li>
<li>Experience with schema design, data modeling and SQL queries.</li>
</ul>
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
<br><br>
Job Information
<br><br>
About Us
<br><br>
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
<br><br>
Why Join ByteDance
<br><br>
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
<br><br>
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
<br><br>
Diversity & Inclusion
<br><br>
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Data Engineer Graduate (Corporate Information System) - 2026 Start (BS/MS)

ValiMail

<div><p><b>Company Overview</b></p>
<p>
Valimail is a fast growing, venture funded startup and the leader in Email Authentication as a Service. Here is your chance to get in on the ground floor at an important technology innovator and to help build a major business service category. We have built a revolutionary platform on top of open standards &mdash; DMARC, DKIM, and SPF &mdash; for the first time it makes it possible for any organization to protect itself against email impersonation. Valimail pioneered the notion of automated email authentication, with innovative components like our DNS-based Authenticator (including our patented Instant SPF). We're committed to building a more trusted email ecosystem.</p>
<p><i>
Frequently cited statistics show that women and underrepresented classes will only apply to roles if they feel they meet 100% of the qualifications. At Valimail, we encourage you to break through that statistic. Roles evolve over time, especially with innovation, and you may be just the person we need in the future. NO ONE ever meets 100% of the qualifications. We hope you're open to learning new skills in order to grow with us. Make our team, your team!</i></p>
<p><b>
Position </b><b>Overview</b></p>
<p>
We are seeking a <b>Lead GTM Operations Engineer</b> to design, build, and own the systems, data flows, and automation that power Valimail's go-to-market motion.</p>
<p>
This role sits at the intersection of data, systems, and revenue execution. You will create and optimize the technical backbone behind attribution, pipeline generation, and AI-driven GTM programs. You'll work cross-functionally with our GTM Systems team to ensure scalability and reliability, and with our Growth team to translate insights into automated, measurable workflows that directly drive revenue impact.</p>
<p>
This is a high-ownership, high-impact individual contributor role for someone who thrives on turning strategy into execution. You'll operate like a product owner for GTM automation, shipping fast, measuring outcomes, and continuously improving the systems that accelerate Valimail's growth.</p>
<p><b>
What You'll Be Doing</b></p>
<ul>
<li><b>Build and scale GTM automation:</b> Design, implement, and maintain workflows that drive pipeline generation and account engagement across GTM platforms.</li>
<li><b>Operationalize attribution and routing logic:</b> Translate strategic GTM models into production systems for accurate lead tracking, scoring, and hand-offs.</li>
<li><b>Integrate data and AI:</b> Incorporate predictive and AI-driven components into attribution, scoring, and enrichment workflows.</li>
<li><b>Enable cross-sell and partner programs:</b> Build data and automation frameworks that support the DigiCert partnership and other channel motions.</li>
<li><b>Monitor and improve performance:</b> Define KPIs, instrument workflows for visibility, and continuously iterate based on data and results.</li>
<li><b>Document and standardize:</b> Establish clear documentation and repeatable processes to scale GTM program operations.</li>
</ul>
<p><b>About You</b></p>
<ul>
<li>7+ years of experience in Revenue Operations, Marketing Operations, Business Operations, or Data/Systems Engineering roles with a proven record of owning and delivering GTM systems end-to-end</li>
<li>Advanced SQL and intermediate Python (or equivalent scripting) for automation and data manipulation.</li>
<li>Hands-on experience integrating and automating workflows across Salesforce, Marketo, and modern GTM tools with the instinct to ship, measure, and iterate fast.</li>
<li>Strong understanding of attribution, funnel analytics, and revenue metrics with the ability to connect technical decisions directly to business outcomes.</li>
<li>Comfort working with APIs, data pipelines, and low-code automation platforms (Zapier, Workato, etc.).</li>
<li>Experience deploying or maintaining AI- or machine-learning-driven GTM applications<b> </b>(lead scoring, segmentation, routing) is preferred; a curiosity and willingness to apply new tools is essential.</li>
<li>Exceptional communication and documentation skills; able to clearly explain the &quot;why&quot; and &quot;how&quot; behind your systems, influence stakeholders, and ensure continuity of ownership.</li>
<li>Operator mindset: you take full accountability for what you build, proactively monitor and improve it, and think like the owner of a product that must perform flawlessly for the business.</li>
</ul>
<p><b>Who We Are</b></p>
<p>
Valimail is the global leader in zero-trust email security. The company's full line of cloud-native solutions authenticate sender identity to stop phishing, protect brands, and ensure compliance; they are used by organizations ranging from neighborhood shops to some of the world's largest organizations, including Uber, Splunk, Yelp, Mercedes Benz USA, and the U.S. Federal Aviation Administration. Valimail is the fastest-growing DMARC solution with the largest global market share and is the premier DMARC partner for Microsoft 365 environments.</p>
<p>
Valimail is an E-Verify Employer. For more information on E-Verify, review the posters here.</p>
<p><b>
Why Join Us?</b></p>
<ul>
<li>Competitive pay + benefits. The anticipated range for this role is $155,000 - 185,000 USD.</li>
<li>Comprehensive health, dental, 401k matching + vision coverage alongside lifestyle benefits</li>
<li>Remote First Company</li>
<li>Unlimited and flexible PTO. We believe balanced, happy, relaxed people do better work</li>
</ul>
<p>#li-remote</p></div>

Lead GTM Operations Engineer

Cywarden Global Services Pvt Ltd.

<p>Job Title: Data Engineer</p><p><b>Experience:</b> 4+ Years<br/><b>Location:</b> Onsite/ Mohali<br/><b>Company</b> <b>Cywarden</b> &ndash; A US-based Cybersecurity Company</p><p>About Cywarden:</p><p>Cywarden is a US-based cybersecurity company dedicated to protecting organizations through advanced threat detection, data intelligence, and secure digital solutions. We build scalable, data-driven systems that empower security teams to respond faster and smarter to cyber threats.</p><p>Job Summary:</p><p>Cywarden is seeking a skilled <b>Data Engineer</b> with <b>4+ years of experience</b> to design, build, and maintain robust data pipelines and platforms that support our cybersecurity products and analytics. The ideal candidate will work closely with security analysts, data scientists, and engineering teams to ensure reliable, secure, and high-performance data systems.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes</li><li>Build and optimize data models for analytics, reporting, and security intelligence use cases</li><li>Work with structured and unstructured data from multiple sources (logs, events, APIs, cloud platforms)</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Collaborate with data scientists and security teams to support threat detection and analytics initiatives</li><li>Optimize performance of databases, data warehouses, and big data systems</li><li>Implement data security best practices, access controls, and compliance requirements</li><li>Monitor, troubleshoot, and resolve data pipeline issues in production environments</li><li>Document data architecture, workflows, and operational processes</li></ul><p>Required Qualifications</p><ul><li>4+ years of hands-on experience as a Data Engineer or similar role</li><li>Strong proficiency in SQL and Python (or similar programming languages)</li><li>Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery, or equivalent)</li><li>Experience building data pipelines using tools such as Airflow, dbt, Spark, or similar</li><li>Strong understanding of data modeling, ETL/ELT concepts, and performance optimization</li><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Familiarity with handling large-scale, high-volume data</li></ul><p>Preferred Qualifications</p><ul><li>Experience working in cybersecurity, SaaS, or security analytics domains</li><li>Knowledge of streaming technologies (Kafka, Kinesis, or similar)</li><li>Understanding of log data, telemetry, or security event data</li><li>Experience with CI/CD pipelines and DevOps practices</li><li>Familiarity with compliance and data security standards</li></ul><p>What We Offer</p><ul><li>Opportunity to work on cutting-edge cybersecurity products</li><li>Competitive compensation and benefits</li><li>Collaborative and innovation-driven work culture</li><li>Professional growth and learning opportunities</li><li>Flexible work environment</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹50,000.00 - ₹70,000.00 per month</p><p>Work Location: In person</p>

Senior Data Engineer

MTA INVESTMENT LLC

<p><b>Job Title: AI Engineer / Data Scientist / Data Engineer</b></p><p><b>Investment Group:</b> MTA Investment Group<br/><b>Operating Entity:</b> iDEEP<br/><b>Work Location:</b> Iran (Onsite / Full-Time)</p><p><b>About the Organization</b></p><p><b>MTA Investment Group</b> is a diversified investment group with interests across technology, research, and advanced engineering domains. <b>iDEEP</b> operates as a specialized research and technology entity within the same investment group, focusing on <b>artificial intelligence, data engineering, digital twins, and applied analytics</b>.</p><p>All roles are part of the <b>same investment group</b>, with employment and operational work aligned under a unified organizational structure. Selected candidates will work full-time onsite with <b>iDEEP in Iran</b>, contributing to advanced AI and data-driven initiatives.</p><p>More information:<br/>https://ideep.org/</p><p><b>Role Overview</b></p><p>We are seeking skilled professionals in <b>AI Engineering, Data Science, and Data Engineering</b> to join our growing AI and data teams. These roles focus on the design, development, and deployment of <b>advanced AI systems</b>, including <b>Digital Twin platforms, Large Language Models (LLMs), and data-driven intelligence solutions</b>.</p><p>This is a <b>full-time, onsite role in Iran</b>, involving close collaboration with researchers, engineers, and domain experts across the investment group.</p><p><b>Key Responsibilities</b></p><p>(Responsibilities may vary based on specialization)</p><ul><li>Design, develop, and deploy <b>AI and machine learning models</b> for real-world applications</li><li>Build and maintain <b>Digital Twin systems</b> representing physical, industrial, or operational processes</li><li>Develop, customize, and fine-tune <b>Large Language Models (LLMs)</b> for domain-specific use cases</li><li>Implement <b>LLM fine-tuning techniques</b>, including instruction tuning and parameter-efficient methods</li><li>Design and manage <b>data pipelines</b> supporting AI, Digital Twin, and LLM workloads</li><li>Perform <b>data preprocessing, feature engineering, model training, and evaluation</b></li><li>Apply AI for <b>prediction, optimization, anomaly detection, simulation, and decision support</b></li><li>Collaborate with cross-functional teams to translate requirements into scalable technical solutions</li><li>Prepare <b>technical documentation, system designs, and research outputs</b></li></ul><p><b>Required Qualifications &amp; Skills</b></p><ul><li><b>3+ years of professional experience</b> in <b>AI Engineering, Data Science, Data Engineering, or applied AI research</b></li><li>Strong proficiency in <b>Python</b></li><li>Solid understanding of <b>machine learning fundamentals and data-driven modeling</b></li><li>Hands-on experience with <b>Digital Twin concepts</b> (system modeling, simulation, or data-driven replicas)</li><li>Experience in <b>building, fine-tuning, or customizing Large Language Models (LLMs)</b></li><li>Familiarity with <b>LLM training workflows</b>, including data preparation, fine-tuning, evaluation, and deployment</li><li>Ability to work with <b>structured and unstructured data</b></li><li>Strong analytical thinking and structured problem-solving skills</li></ul><p><b>Role-Specific Skill Preferences </b></p><p><b>AI Engineer</b></p><ul><li>Machine learning and deep learning model development</li><li>Experience with <b>transformers, generative models, and LLM architectures</b></li><li>Model optimization, evaluation, and deployment</li></ul><p><b>Data Scientist</b></p><ul><li>Statistical analysis, exploratory data analysis, and predictive modeling</li><li>Use of AI and LLMs for insight generation and decision support</li><li>Data visualization and communication of analytical findings</li></ul><p><b>Data Engineer</b></p><ul><li>Data pipeline development, ETL processes, and data architecture</li><li>Supporting AI, Digital Twin, and LLM systems with reliable data infrastructure</li><li>Experience with SQL and large-scale datasets</li></ul><p><b>Preferred Technical Exposure</b></p><ul><li>Machine learning frameworks such as <b>PyTorch, TensorFlow, or scikit-learn</b></li><li>Experience with <b>LLM fine-tuning techniques</b> (LoRA, PEFT, instruction tuning)</li><li>Exposure to <b>Digital Twin platforms, simulation tools, or system modeling</b></li><li>Knowledge of <b>APIs, model serving, or AI system integration</b></li><li>Familiarity with cloud or high-performance computing environments is an advantage</li></ul><p><b>Language &amp; Communication</b></p><ul><li><b>Good command of English is mandatory</b></li><li>Ability to communicate technical concepts clearly in both written and spoken English</li></ul><p><b>Educational Background (Preferred)</b></p><ul><li>Computer Science</li><li>Artificial Intelligence / Machine Learning</li><li>Data Science</li><li>Engineering, Mathematics, or Statistics</li><li>Related technical disciplines</li></ul><p><b>Compensation &amp; Benefits</b></p><ul><li>Full-time, long-term onsite employment in Iran</li><li>Employment under the <b>MTA Investment Group</b></li><li>Professional assignment with <b>iDEEP</b></li><li>Work visa and accommodation support provided</li><li>Opportunity to work on <b>Digital Twin systems, LLMs, and advanced AI research</b></li><li>Long-term professional growth within a research-driven environment</li></ul><p><b>Application Process</b></p><p>Interested candidates should submit:</p><ul><li>Updated CV</li><li>Role applied for (AI Engineer / Data Scientist / Data Engineer)</li><li>Expected salary</li><li>Notice period</li></ul><p><b>Email:</b> my1111gpt@gmail.com</p><p><b>Important Note</b></p><p>Only candidates who are <b>willing to work full-time onsite in Iran</b> will be considered.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI and Data Engineers - Work Location: Iran

Unilink General Trading & Contracting Co.

<p>Urgent Hiring: ELV Engineer cum Estimation Engineer (Immediate Joiner)</p><p>We are looking for an experienced ELV Engineer cum Estimation Engineer who can join immediately.</p><p>Requirements:</p><p>Minimum 3 years of ELV experience in Qatar</p><p>UPDA Certified</p><p>Valid QID</p><p>Immediate availability</p><p>Technical Skills &amp; Responsibilities:</p><p>Strong knowledge of ELV systems including:</p><p>CCTV</p><p>Access Control</p><p>Fire Alarm</p><p>Public Address (PA)</p><p>Data &amp; Network Systems</p><p>Ability to read and interpret technical drawings and manuals</p><p>Design, implement, and maintain ELV systems</p><p>Prepare technical documentation, drawings, and specifications</p><p>Supervise installation, testing, and commissioning of ELV systems on-site</p><p>Coordinate with clients, project teams, and subcontractors to ensure smooth system integration and timely project completion</p><p>Prepare quotations as per drawings, including quantity take-off and cost estimation</p><p>Good market network and subcontractor connections</p><p>Provide technical support and guidance to junior engineers and technicians</p><p>Strong troubleshooting, problem-solving, and communication skills</p><p>Attention to detail and ability to work independently</p><p>Interested candidates may send their CV to:</p><p>WhatsApp: +974 3086 1994</p><p>Email: Rishwan@unilinkqatar.com</p><p>Job Type: Full-time</p>

ELV Engineer cum Estimation Engineer

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