estimation engineer

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ai data ux engineer

bioinformatics data engineer

GenBio AI

<div>
 GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
 
 
 This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
 
 
 As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Source &amp; Acquire Biological Data - Identify, evaluate, and obtain high-quality bioinformatics datasets from public and partner sources (e.g., NCBI, PubChem, ENCODE,UniProt etc.) to support research and model development initiatives
 </li>
 <li>
 Deeply Understand Complex Datasets - Develop a comprehensive understanding of biological datasets, including data structures, schemas, metadata standards, entity relationships, and underlying biological context to ensure accurate interpretation and usage
 </li>
 <li>
 Design &amp; Implement Data Processing Pipelines - Develop robust preprocessing scripts and scalable data transformation workflows using Python, R, and relevant Tools. Leverage AI-assisted tools where appropriate to process, clean, normalize, and integrate complex biological data for foundation model training
 </li>
 <li>
 Structure &amp; Standardize Biological Data - Organize heterogeneous datasets into well-defined, interoperable formats aligned with internal infrastructure requirements and downstream AI training pipelines
 </li>
 <li>
 Bioinformatics Data Analysis - Perform exploratory and statistical analysis of genomic, transcriptomic, proteomic, and other multi-omics datasets to assess data quality, uncover biological patterns, and generate insights that inform model development. Apply appropriate computational and statistical methods to validate assumptions and support downstream AI training and evaluation
 </li>
 <li>
 Build Data Products - Create production-ready data assets, including standardized datasets, curated releases, dashboards, analytical reports, and technical documentation to enable efficient research and model evaluation
 </li>
 <li>
 Ensure Data Quality &amp; FAIR Compliance - Curate, annotate, validate, and standardize public and partner datasets in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles, ensuring long-term usability and reproducibility
 </li>
 <li>
 Collaborate Cross-Functionally - Partner closely with research scientists and ML engineers to translate biological research needs into scalable data engineering solutions that support AI model training and evaluation
 </li>
 <li>
 Knowledge Sharing &amp; Documentation - Contribute domain expertise by documenting data methodologies, maintaining clear technical documentation, and sharing biological data insights across teams
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Bioinformatics, Computational Biology, Computer Science, or a related field with a heavy focus on the life sciences
 </li>
 <li>
 Biological Data: Deep, hands-on familiarity with multiple biomedical data modalities (e.g., genomics, transcriptomics, spatial omics, protein structure, biomedical imaging, clinical/phenotypic data, etc.)
 </li>
 <li>
 Biological Tools: Familiar with Bioconda,Biopython,Bioconductor, samtools,bamtools,bcftools,gffutils etc
 </li>
 <li>
 Scripting &amp; Tooling: Strong programming skills in Python (Pandas, NumPy) and proficiency with standard bioinformatics workflow managers and tools (e.g., Ray, Kubeflow)
 </li>
 <li>
 Engineering Handoff: Experience writing clean, modular code that can be easily picked up by core data engineers for optimization in cloud environments (AWS/GCP/HF) and containerized setups (Docker)
 </li>
 <li>
 AI/ML Awareness: A solid understanding of machine learning workflows and how biological data must be formatted and batched for deep learning frameworks (e.g., PyTorch)
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 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.
</div>

Bioinformatics Data Engineer

NMDC Dredging & Marine

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Support the setup of physical models.
 </li>
 <li>
 Supervise the configuration and calibration of instrumentation and physical models by the laboratory operations team.
 </li>
 <li>
 Check model dimensions and tolerances.
 </li>
 <li>
 Carry out testing and the preliminary phase of data analysis.
 </li>
 <li>
 Maintain accurate laboratory records and communicate with the Principal Engineer and Senior Engineer.
 </li>
 <li>
 Assist in collating and presenting study output data.
 </li>
 <li>
 Be assigned to physical model studies and report directly to the Principal Engineer and Senior Engineer.
 </li>
 <li>
 Follow agreed procedures and quality assurance standards to ensure accurate completion of physical model studies.
 </li>
 <li>
 Adhere to Health and Safety procedures relevant to laboratory work.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in Civil, Coastal, or Maritime Engineering, Physics, or Oceanography is required,
 
 or
 
 a Bachelor&rsquo;s Degree in Engineering or an equivalent qualification.
 </li>
 </ul>
 
 
</div>

Hydraulic Laboratory Graduate

EDGE

<div>
 
 External Job Description
 
 
 
 As a Senior Test Engineer, you will take ownership of day-to-day test execution, ensuring safe, efficient, and high-quality delivery of engine and component testing activities. Reporting to the Test Principal Engineer, you will act as a critical link between engineering intent and operational execution, contributing directly to the success of our propulsion programs.
 
 
 
 Key Responsibilities
 
 
 
 
 Test Execution Leadership
 
 
 
 <ul>
 <li>
 Lead execution of engine and component tests in line with defined procedures and objectives
 </li>
 <li>
 Coordinate test readiness, including setup, instrumentation, and system checks
 </li>
 <li>
 Supervise technicians and junior engineers during testing activities
 </li>
 <li>
 Ensure safe, efficient, and reliable test campaign execution
 
 
 </li>
 </ul>
 
 Test Planning Support
 
 
 
 <ul>
 <li>
 Support development of test procedures, methodologies, and configurations
 </li>
 <li>
 Contribute to defining test requirements and acceptance criteria
 </li>
 <li>
 Review test plans and identify risks or improvement opportunities
 
 
 </li>
 </ul>
 
 Data Acquisition &amp; Analysis
 
 
 
 <ul>
 <li>
 Oversee data acquisition systems to ensure accurate and reliable data capture
 </li>
 <li>
 Analyze test data to identify trends, anomalies, and performance insights
 </li>
 <li>
 Ensure instrumentation is calibrated and data quality is maintained
 </li>
 <li>
 Produce clear, structured reports with actionable recommendations
 
 
 </li>
 </ul>
 
 Test Facility &amp; Integration
 
 
 
 <ul>
 <li>
 Coordinate with mechanical, electrical, and controls teams for test rig setup
 </li>
 <li>
 Lead troubleshooting of test rigs, instrumentation, and systems
 </li>
 <li>
 Ensure overall readiness and efficiency of the test facility
 
 
 </li>
 </ul>
 
 Safety &amp; Compliance
 
 
 
 <ul>
 <li>
 Enforce strict adherence to HSE standards during all testing activities
 </li>
 <li>
 Participate in risk assessments and safety reviews
 </li>
 <li>
 Ensure compliance with internal and industry standards
 
 
 </li>
 </ul>
 
 Documentation &amp; Reporting
 
 
 
 <ul>
 <li>
 Maintain accurate records of test setups, procedures, and results
 </li>
 <li>
 Provide regular updates to the Test Principal Engineer
 </li>
 <li>
 Ensure full traceability and integrity of test data
 
 
 </li>
 </ul>
 
 Continuous Improvement &amp; Mentorship
 
 
 
 <ul>
 <li>
 Identify and implement improvements in testing processes and workflows
 </li>
 <li>
 Support and mentor junior engineers and technicians
 </li>
 <li>
 Contribute to building best practices within the test and validation team
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mechanical Engineering, Aerospace Engineering, or related field
 </li>
 <li>
 5&ndash;8 years of experience in testing, validation, or engineering operations
 </li>
 <li>
 Strong hands-on experience with engine testing, test rigs, or complex mechanical systems
 </li>
 <li>
 Solid understanding of data acquisition systems and instrumentation
 </li>
 <li>
 Proven ability to analyze technical data and produce detailed reports
 </li>
 <li>
 Experience working in multidisciplinary engineering environments
 </li>
 <li>
 Strong troubleshooting and problem-solving capabilities
 </li>
 <li>
 Knowledge of safety practices in high-risk testing environments
 </li>
 <li>
 Ability to lead test execution and coordinate cross-functional teams
 
 
 </li>
 </ul>
 
 Why Join Powertech Engines?
 
 
 
 At Powertech, you will be part of a high-performance engineering environment focused on innovation, precision, and real-world impact. You&rsquo;ll work alongside experienced engineers on cutting-edge propulsion systems, with the opportunity to grow your technical expertise and take ownership of critical testing operations.
</div>

Senior Test Engineer

<div>Title:
Engineer, Reliability
We are looking for a motivated Reliability &amp; Maintenance Engineer to support the development and execution of maintenance strategies, assist in preventive maintenance review and optimization, contribute to root cause investigations, and support reliability data analysis and KPI tracking to enhance asset performance.
Assist in reviewing and updating preventive maintenance plans and task lists based on equipment history, manufacturer recommendations, and best practices. 
Support the development of maintenance strategies and participate in RCM/FMEA workshops to improve asset reliability. 
Participate in RCA teams and provide technical input to identify causes of failures and support implementation of corrective actions
Qualifications and Certifications:
Bachelor&rsquo;s degree in Mechanical, Electrical, Control, Corrosion, Metallurgy or related Engineering field.
Professional Certifications:<ul><li>
Certified Reliability Engineer (CRE) (preferred)</li><li>
Certified Maintenance and Reliability Professional (CMRP) (preferred)</li></ul>
Experience:<ul><li>
Minimum 5 years of Relevant experience in maintenance or reliability engineering within Oil &amp; Gas or industrial sectors.
</li><li>Basic knowledge of RCM, FMEA, RCA methodologies, and preventive maintenance practices.
</li><li>Familiar with Maintenance Systems (SAP, Maximo)</li></ul>
Belong. Connect. Grow. with KBR!</div>

Engineer, Reliability

Brightmoon General Transport&contracting

Job Title: Civil Estimation Engineer Location: Abu Dhabi, UAEWe are seeking a skilled and detail-oriented Civil Estimation Engineer to join our team. The ideal candidate should have solid experience in construction and fit-out projects within the UAE, with a strong understanding of cost estimation and tendering processes.Key Responsibilities:<ul><li>Prepare accurate cost estimates for civil and fit-out works</li><li>Analyze drawings, specifications, and tender documents</li><li>Perform quantity take-offs and prepare BOQs</li><li>Obtain and evaluate quotations from suppliers and subcontractors</li><li>Conduct cost analysis and prepare comparison reports</li><li>Identify potential risks and cost-saving opportunities</li><li>Assist in tender submissions, clarifications, and negotiations</li><li>Maintain updated records of project costs and estimation data</li></ul>Requirements:<ul><li>4&ndash;5 years of UAE experience as a Civil Estimation Engineer</li><li>Proven experience in construction and fit-out projects</li><li>Bachelor&rsquo;s degree in Civil Engineering or related field</li><li>Strong knowledge of UAE market rates and materials</li><li>Proficiency in MS Excel and estimation software</li><li>Ability to read and interpret technical drawings</li><li>UAE Driving License is mandatory</li><li>Only candidates with UAE experience and valid driving license will be considered</li><li>Immediate joiners or candidates with short notice period preferred</li></ul>Interested candidates may send their CV to hr at unitekuae dot comJob Types: Full-time, PermanentPay: AED6,500.00 - AED8,000.00 per monthWork Location: In person

Civil Estimation Engineer

ADASI

<div>
 
 External Job Description
 
 
 
 
 Position -
 
 Principal Mechanical Engineer - Loads / Stress
 
 
 
 Entity :
 
 ADASI
 
 
 
 Department
 
 -Engineering Services
 
 
 
 Location-
 
 Abu Dhabi
 
 
 
 Key Responsibiities-
 
 
 
 <ul>
 <li>
 Develop aircraft-level loads for UAV systems, including: Maneuver loads (limit and ultimate cases) ,Gust and turbulence loads (where applicable) ,Ground loads (landing, taxi, handling, transportation) ,Propulsion and system-induced loads (thrust, inertia, vibration drivers) Payload and mission-dependent loads
 </li>
 <li>
 Translate mission profiles and operational scenarios into design loads, working closely with Flight Mechanics, Aerodynamics, Systems, and Test teams.
 </li>
 <li>
 Define load cases, combinations, and envelopes, ensuring: Internal consistency across disciplines, Traceability to assumptions and mission definitions ,Practical usability by stress and design teams
 </li>
 <li>
 Establish and document loads methodologies, including: Assumptions and simplifications appropriate for UAV development ,Use of empirical data, hand methods, and analytical models , Clear definition of validity ranges and limitations
 </li>
 <li>
 Perform analytical and numerical loads analysis, using- First-principles calculations (free-body diagrams, inertia relief, load paths) Simplified models (beam models, lumped masses)FEM (primarily for load extraction and distribution, not detailed stress sizing)
 </li>
 <li>
 Provide load inputs to stress, design, and systems teams, including-Section loads, interface loads, and component-level loads ,Time histories or envelopes when required ,Clear definition of coordinate systems and reference conditions
 </li>
 <li>
 Support multidisciplinary integration, ensuring loads are aligned with: Mass properties and CG evolution, Control laws and flight envelope assumptions ,Structural layouts and load paths
 </li>
 <li>
 Contribute to test definition and correlation, including: Ground and flight test instrumentation strategies (strain gauges, accelerometers) Back-calculation of loads from test data ,Updating models and assumptions based on test evidence
 </li>
 <li>
 Act as a situational technical leader by driving resolution of ambiguous or conflicting inputs ,Challenging unrealistic assumptions ,Providing technically sound direction during design reviews and critical decisions
 </li>
 <li>
 Continuously improve engineering practices, contributing to: Loads process definition and refinement templates, calculation methods, and internal guidelines , Knowledge sharing across programs
 
 
 </li>
 </ul>
 
 Educational Background
 
 :
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mechanical or Aerospace Engineering (Master&rsquo;s or PhD preferred)
 
 
 </li>
 </ul>
 
 Professional Experience:
 
 
 
 <ul>
 <li>
 Strong understanding of aircraft loads development, including maneuver, gust, and ground loads
 </li>
 <li>
 Ability to translate real-world missions into engineering load cases, avoiding over-idealization
 </li>
 <li>
 Solid grasp of:
 
 
 </li>
 </ul>
 Rigid-body dynamics and inertia effects
 
 
 Load paths and structural interaction
 
 
 <ul>
 <li>
 Basic aeroelastic considerations (at least at conceptual level)
 </li>
 <li>
 Experience with: Analytical tools (Excel, Python, MATLAB or similar) FEM tools (ANSYS, NASTRAN, Abaqus) for load extraction and distribution
 </li>
 <li>
 Comfortable working with incomplete data, making justified engineering assumptions
 
 
 </li>
 </ul>
 Standards &amp; Compliance
 
 
 <ul>
 <li>
 Familiarity with aerospace standards (EASA, FAA, MIL-STD) as guidance frameworks, with the ability to scale and adapt them to UAV and non-certified platforms
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 Chartered Engineer (CEng) or Professional Engineer (PE) (nice to have)
 </li>
 <li>
 Experience contributing to internal methods, tools, or engineering processes
 
 
 </li>
 </ul>
 
 #ADASI
 
</div>

Principal Mechanical Engineer - Loads / Stress

TAT IT Technolgies

<div>
 
 We have an Urgent requirement for Confluent Kafka Engineer with experience in real time data streaming for one of our banking client in Abu Dhabi, UAE
 
 
 
 
 Strong experience in Confluent Kafka is MUST for this role
 
 
 
 
 Design, develop, and maintain real-time data streaming solutions using Confluent Kafka&mdash;Must for this role
 
 
 
 
 Develop and manage Kafka producers, consumers, topics, partitions, and schemas&mdash;Must for this role
 
 
 
 
 Implement Kafka Streams, Kafka Connect, and integrations with external systems&mdash;-Must for this role
 
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Confluent Kafka Engineer to join our dynamic team. The ideal candidate will be responsible for the development, User Acceptance Testing (UAT), and production support of our Confluent Kafka-based systems. This role requires deep expertise in Kafka architecture, including Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect. The engineer will collaborate closely with cross-functional teams to ensure the smooth operation of our data streaming services and provide support across various environments.
 
 
 
 Development
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.
 </li>
 <li>
 Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications.
 </li>
 <li>
 Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability.
 </li>
 <li>
 Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline.
 </li>
 <li>
 Employ KSQLDB for stream processing tasks, including real-time analytics and transformations.
 </li>
 <li>
 Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems.
 </li>
 <li>
 Ensure all Kafka-based solutions are scalable, secure, and optimized for performance.
 
 
 </li>
 </ul>
 
 User Acceptance Testing (UAT)
 
 
 
 <ul>
 <li>
 Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production.
 </li>
 <li>
 Work closely with QA teams to identify and resolve defects during the UAT phase.
 </li>
 <li>
 Ensure all UAT activities comply with the organization&rsquo;s standards and best practices.
 </li>
 <li>
 Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes.
 
 
 </li>
 </ul>
 
 Production Support
 
 
 
 <ul>
 <li>
 Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services.
 </li>
 <li>
 Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect.
 </li>
 <li>
 Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components.
 </li>
 <li>
 Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility.
 </li>
 <li>
 Provide 24/7 support for production systems, including participation in on-call rotation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Education: Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.
 </li>
 <li>
 Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.
 </li>
 <li>
 Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.
 </li>
 <li>
 Familiarity with distributed systems, microservices architecture, and event-driven design patterns.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Java, Python, or Scala.
 </li>
 <li>
 Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.
 </li>
 <li>
 Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).
 </li>
 <li>
 Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.
 </li>
 <li>
 Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications.
 </li>
 <li>
 Experience with KSQLDB for real-time processing and analytics on Kafka topics.
 </li>
 <li>
 Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.
 </li>
 <li>
 Understanding of networking, security, and compliance aspects related to Kafka.
 </li>
 <li>
 Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).
 
 
 </li>
 </ul>
 Skills: bank,streams,kafka,confluent
</div>

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