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ai optimization engineer 100 remote

Tether Operations Limited

<div><p><b><i>Join Tether and Shape the Future of Digital Finance</i></b></p><p>
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.</p><p></p><p><b><i>
Innovate with Tether</i></b></p><p><b>
Tether Finance: </b>Our innovative product suite features the world&rsquo;s most trusted stablecoin, <b>USDT</b>, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.</p><p>
But that&rsquo;s just the beginning:</p><p><b>
Tether Power: </b>Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.</p><p><b>
Tether Data: </b>Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like <b>KEET</b>, our flagship app that redefines secure and private data sharing.</p><p><b>
Tether Education</b>: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.</p><p><b>
Tether Evolution</b>: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.</p><p></p><p><b><i>
Why Join Us?</i></b></p><p>
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.</p><p>
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.</p><p><b>
Are you ready to be part of the future?</b></p><p></p><h3 class="jobSectionHeader"><b>
About the job</b></h3><p>
The <b>AI &amp; Optimization Lead &mdash; Bitcoin Mining Operations </b>will play a crucial role in defining and executing the AI vision for <b>MOS (Mining Operating System)</b> and <b>MDK (Mining Development Kit)</b> &mdash; the core FOSS platforms powering Tether&rsquo;s Bitcoin-mining operations worldwide.</p><p>
This role is responsible for <b>designing the data foundation and AI models that drive real-world operational efficiency across mining sites</b>, with a focus on performance optimization, predictive insights, and intelligent automation. You will work closely with engineering, data, and operations teams to define a <b>structured data baseline</b>, ensure high-quality data modelling, and develop AI-driven solutions that are fully integrated into MOS/MDK.</p><p>
Your mission is simple and ambitious:<br>
<b>turn data into intelligence &mdash; and intelligence into site-level efficiency.</b></p><p>
A strong background in <b>data architecture, modelling, ML/AI systems, and mathematical optimization</b> is essential. Prior exposure to Bitcoin mining or industrial/IoT environments is highly valuable, but not mandatory.</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><p><b>
AI Vision &amp; Strategy</b></p><ul><li>
Define and lead the <b>AI strategy</b> for MOS &amp; MDK with a focus on operational efficiency and measurable business outcomes.</li><li>
Translate operational challenges into <b>data and optimization problems</b> that AI models can solve.<br>
</li><li>
Establish best-practice frameworks for scalable, production-ready AI systems.</li></ul><p><b>
Data Foundation &amp; Modelling</b></p><ul><li>
Design a <b>standardized data baseline / schema</b> for all mining-site telemetry and events.</li><li>
Ensure data is structured, normalized, labelled and accessible for AI/ML use cases.</li><li>
Work with backend engineers to evolve the data pipeline and integration standards.</li></ul><p><b>
Model Development &amp; Optimization</b></p><ul><li>
Build and deploy <b>ML/AI and optimization models</b> such as:<ul><li>
performance optimization</li><li>
anomaly detection</li><li>
predictive failure &amp; maintenance</li><li>
energy-efficiency insights</li><li>
operational automation recommendations</li></ul></li><li>
Continuously evaluate and improve model performance in production.</li></ul><p><b>
Integration &amp; Delivery</b></p><ul><li>
Work with MOS &amp; MDK engineering teams to <b>embed AI models into platform workflows and APIs</b>.</li><li>
Ensure models are efficient, reliable, explainable, and maintainable.</li></ul><p><b><br>
Cross-Team Collaboration</b></p><ul><li>
Collaborate with site-operations teams to validate results and gather feedback.</li><li>
Align with leadership on AI roadmap, priorities, impact tracking, and KPIs.</li><li>
Document systems, architecture, and modelling assumptions clearly.</li></ul><p><b><br>
Culture &amp; Mindset</b></p><ul><li>
Promote a <b>data-driven, efficiency-first culture</b> within the Mining Software team.</li><li>
Stay updated on AI, optimization and industrial analytics trends.</li></ul><br>
<p></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or similar</b>.</li><li><b>
3+ years&rsquo; experience</b> in AI/ML, data science, or applied optimization roles.</li><li>
Proven experience designing <b>data models / schemas / baselines</b> for large-scale, time-series&ndash;heavy datasets.</li><li>
Strong proficiency in <b>Python</b> and modern ML frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li><b>
Strong JavaScript / TypeScript proficiency</b> (Node.js ecosystem)</li><li>
Familiarity with <b>containerized workloads (Docker)</b></li><li>
Experience developing and deploying time-series, anomaly detection, classification, and predictive models for mechanical, electromechanical, or hardware-intensive equipment/systems in production environments.</li><li>
Solid understanding of signal processing and feature extraction for sensor data (e.g., electrical, thermal, vibration, or telemetry signals).</li><li>
Solid understanding of <b>optimization techniques</b> (linear/non-linear programming, simulation, decision systems, etc.).</li><li>
Experience <b>deploying, monitoring, maintaining AI models into production systems </b>including handling model drift and evolving operating conditions.</li><li>
Excellent English communication skills and ability to collaborate in distributed teams.</li></ul><p></p><p><b>
Important information for candidates</b><br>
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:</p><ul><li><b>
Apply only through our official channels.</b> We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li><b>
Verify the recruiter&rsquo;s identity.</b> All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li><b>
Be cautious of unusual communication methods.</b> We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li><b>
Double-check email addresses.</b> All communication from us will come from emails ending in <b>@</b>tether.to<b> or @</b>tether.io</li><li><b>
We will never request payment or financial details.</b> If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul><p><b>
When in doubt, feel free to reach out through our official website.</b></p></div>

AI & Optimization Engineer (100% Remote)

ai71

<div>
 <strong>
  About the Role:
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled
 <strong>
  Backend Engineer
 </strong>
 to design, build, and maintain the core infrastructure for AI-powered applications. You will work closely with machine learning engineers, data scientists, and frontend developers to create scalable, secure, and efficient backend systems that enable cutting-edge AI capabilities.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain backend systems and APIs for AI-driven applications.
  </li>
  <li>
   Optimize database architectures and data pipelines for efficient AI model training and inference.
  </li>
  <li>
   Implement secure authentication, authorization, and data protection mechanisms.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate AI models into production environments.
  </li>
  <li>
   Ensure system scalability, reliability, and performance through robust infrastructure design.
  </li>
  <li>
   Develop monitoring and logging tools for tracking system health and model performance.
  </li>
  <li>
   Write clean, efficient, and well-documented code following best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
  </li>
  <li>
   8+ years of experience in backend development, with expertise in Python
  </li>
  <li>
   Strong experience with RESTful APIs, GraphQL, or gRPC.
  </li>
  <li>
   Proficiency in database design and management (SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis).
  </li>
  <li>
   Experience with cloud platforms such as AWS, GCP, or Azure.
  </li>
  <li>
   Knowledge of containerization and orchestration tools (Docker, Kubernetes).
  </li>
  <li>
   Experience with distributed computing and microservices architectures.
  </li>
  <li>
   Strong problem-solving skills and ability to work in a fast-paced environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledge of message queues (Kafka, RabbitMQ) and event-driven architectures.
  </li>
  <li>
   Exposure to LLMs, vector databases, and AI inference optimization.
  </li>
  <li>
   Understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, Ansible).
  </li>
  <li>
   Familiarity with MLOps and AI model deployment pipelines is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI applications with a talented and passionate team.
  </li>
  <li>
   Opportunity to innovate and solve real-world challenges using AI.
  </li>
  <li>
   Competitive compensation, benefits, and career growth opportunities.
  </li>
  <li>
   Flexible working environment and the latest tools &amp; technologies.
  </li>
 </ul>
</div>


Software Engineer - Backend

Acenet consulting

<div><div><b>Experience:</b> 10 to 15 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101484
<br>
<b>Posted on:</b> Apr 17, 2026<br>
</div><br>
<p>About Us:<br>
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.</p>
<p>Job Summary:<br>
We are seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure. Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale. This is a senior-level role requiring deep Azure expertise, strong governance orientation, and the ability to enable AI innovation within a controlled, secure enterprise framework.</p>
<div>Key Responsibilities:<br>
<ul><li>Design and maintain enterprise-grade Azure AI resources.</li><li>Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.</li><li>Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.</li><li>Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.</li><li>Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.</li><li>Implement least-privilege RBAC models and ensure secure identity integration.</li><li>Enforce governance controls using Azure Policy and Management Groups.</li><li>Review AI solution architectures and participate in architecture review boards.</li><li>Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.</li><li>Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.</li><li>Support CI/CD pipelines and controlled change and release management processes.</li><li>Develop operational runbooks and ensure smooth transition of AI services to operations teams.</li><li>Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.</li></ul></div>
<div>Required Skills &amp; Experience:<br>
<ul><li>Deep hands-on expertise in Microsoft Azure and Azure AI services.</li><li>Strong experience designing AI landing zones and enterprise cloud architectures.</li><li>Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).</li><li>Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.</li><li>Experience with Microsoft Defender for Cloud and enterprise security monitoring.</li><li>Hands-on experience with Infrastructure as Code and CI/CD pipelines.</li><li>Strong FinOps mindset and experience managing Azure cost optimization.</li><li>10+ years in IT infrastructure/cloud architecture.</li><li>5+ years of hands-on Azure architecture experience.</li><li>Experience operating within a centralized Cloud CoE model.</li><li>Preferred Certifications:</li><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Microsoft Certified: Azure Security Engineer Associate</li><li>Microsoft Certified: Azure AI Engineer Associate</li><li>Microsoft Certified: Azure Administrator Associate</li></ul></div>
<div>Why Join Us:<br>
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
<p>How to Apply:<br>
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p></div>

Senior Azure AI Infrastructure Architect

RINA

<div>
 RINA is currently recruiting for a
 <strong>
  Railway System Engineer
 </strong>
 to join its office in
 <strong>
  Abu Dhabi
 </strong>
 within the
 <strong>
  Electronics and System Engineering
 </strong>
 Division.
 <br/>
 <br/>
 <strong>
  Mission
  <br/>
  <br/>
 </strong>
 The Railway System Engineer is responsible for designing, integrating, and optimizing railway systems to ensure safe, reliable, and efficient operations. This role involves system-level thinking, covering rolling stock, signaling, infrastructure, power supply, and communication systems.
 <br/>
 <br/>
 The Railway System Engineer will join the RINA team in order to be part of national and international railway projects. His scope covers the entire lifecycle of railway projects, from concept to operation and maintenance. The successful candidate will have previous experience in requirements, interface and configuration management.
 <br/>
 <br/>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <strong>
  System Design &amp; Architecture
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and manage system-level requirements and system architecture for railway projects.
  </li>
  <li>
   Analyze interfaces and interactions between subsystems (rolling stock, signaling, track, electrification, telecom).
  </li>
  <li>
   Support technology selection and configuration for new or upgraded rail projects.
  </li>
  <li>
   Ensure compliance with international standards and client technical specifications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  System Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Guarantee system interoperability across different technologies and operators.
  </li>
  <li>
   Manage integration of signaling, rolling stock, and infrastructure subsystems.
  </li>
  <li>
   Validate compatibility with national and international systems (e.g. ERTMS, CBTC, PTC).
  </li>
  <li>
   Coordinate system interface control and manage integration risks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Performance Optimization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate and optimize railway system performance in terms of capacity, reliability, energy efficiency, and maintainability.
  </li>
  <li>
   Contribute to operational simulations and capacity studies.
  </li>
  <li>
   Identify opportunities for system improvements and lifecycle cost reduction.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Verification &amp; Validation (V&amp;V)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and monitor execution of Verification &amp; Validation activities according to applicable standards (EN 50126/8/9).
  </li>
  <li>
   Ensure conformity to system performance and safety requirements.
  </li>
  <li>
   Support testing, commissioning, and acceptance processes.
  </li>
  <li>
   Participate in design reviews, audits, and safety assessments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Lifecycle Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support the development of upgrade, renewal, and modernization programs.
  </li>
  <li>
   Manage configuration control and ensure system traceability.
  </li>
  <li>
   Provide technical support during operation and maintenance phases.
  </li>
  <li>
   Contribute to asset management strategies to maximize system availability and lifecycle value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Digitalization &amp; Smart Rail Technologies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Promote the adoption of digital solutions (IoT, AI, Big Data) for predictive maintenance and performance monitoring.
  </li>
  <li>
   Contribute to the implementation of Digital Twin and Remote Monitoring technologies.
  </li>
  <li>
   Support system-level integration of Smart Signaling and automation tools.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s Degree
 <br/>
 <br/>
 Master&rsquo;s Degree in Electrical Engineering or Mechanical Engineering
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in system engineering for railway domain projects
  </li>
  <li>
   Rolling Stock: Locomotives, EMUs, DMUs, High-Speed Trains
  </li>
  <li>
   Signaling Systems: ETCS/ERTMS, CBTC, PTC, Interlocking
  </li>
  <li>
   Electrification: 25 kV AC, 3 kV DC, 750 V DC traction systems
  </li>
  <li>
   Infrastructure: Conventional, High-Speed, Metro, or Light Rail systems
  </li>
  <li>
   Deep understanding of Systems Engineering principles (V-Model, Requirements, and Interface Management).
  </li>
  <li>
   Familiarity with CENELEC Standards: EN 50126 (RAMS), EN 50128 (Software), EN 50129 (Safety).
  </li>
  <li>
   Knowledge of relevant international standards and regulations (IEC 62290, UIC, AAR, FRA).
  </li>
  <li>
   Requirements &amp; Configuration Management tools (DOORS, Enterprise Architect, ComplyPro)
  </li>
  <li>
   Safety &amp; Reliability Analysis (FMECA, FTA, ReliaSoft)
  </li>
  <li>
   Simulation &amp; Design (MATLAB, Simulink, CATIA)
  </li>
  <li>
   Understanding of project delivery methodologies (Waterfall, Agile, V-cycle).
  </li>
  <li>
   Experience in large-scale or multi-stakeholder railway system projects.
  </li>
  <li>
   Excellent analytical, communication, and problem-solving skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   WORKPLACE DYNAMICS - Resourcefulness in shaping progress and working efficiently.
  </li>
  <li>
   PERSONAL EMPOWERMENT - Ownership for life, work and results, striving to grow professionally and personally.
  </li>
  <li>
   INTERPERSONAL INFLUENCE - Skills and strategies we use to interact effectively with others.
  </li>
  <li>
   DOMAIN &amp; BUSINESS ACUMEN - Applying a scientific approach and critical thinking in operations and solution development within area of expertise.
  </li>
  <li>
   FORESIGHT &amp; INSIGHT - Context awareness adopting a systemic perspective and informed decision making.
   <br/>
   <br/>
  </li>
 </ul>
 RINA is a multinational company providing a wide range of services in the energy, marine, certification, infrastructure &amp; mobility, industry, research &amp; development sectors. Our business model covers the full process of project development, from concept to completion.
 <br/>
 <br/>
 <em>
  At RINA, we endeavor to create a work environment where every single person is valued and encouraged to develop new ideas. We provide equal employment opportunities and are committed to creating a workplace where everyone feels respected and safe from discrimination or harassment of any kind. We are also compliant to the Italian Law n. 68/99.
 </em>
</div>


Railway System 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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)
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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

<p></p><div><div><div><div><div><b>Posting Date: </b>23 Apr 2026
</div></div></div></div><div><div><div><div><b>City: </b>Abu Dhabi
</div></div></div></div><div><div><div><div><b>Location:
</b>Abu Dhabi, Abu Dhabi, AE
</div></div></div></div><div><div><div><div><b>Contract Type: </b>Fixed-Term
</div></div></div></div><div><div><div><div><b>Division: </b>Electronics and System Engineering
</div></div></div></div><div><div><div><div><b>Level of experience: </b>Intermediate
</div></div></div></div><div><div><div><div><div>RINA is currently recruiting for a <b>Railway System Engineer</b> to join its office in <b>Abu Dhabi</b><b> </b>within the <b>Electronics and System Engineering</b> Division.
</div><div><div><div><div><b>Mission</b></div>
</div><div><div>
The Railway System Engineer is responsible for designing, integrating, and optimizing railway systems to ensure safe, reliable, and efficient operations. This role involves system-level thinking, covering rolling stock, signaling, infrastructure, power supply, and communication systems.</div>
<div>
The Railway System Engineer will join the RINA team in order to be part of national and international railway projects. His scope covers the entire lifecycle of railway projects, from concept to operation and maintenance. The successful candidate will have previous experience in requirements, interface and configuration management.</div></div></div><div><div><div><b>
Key Accountabilities</b></div>
</div><div><div><b>
System Design &amp; Architecture</b><br>
<ul><li>Define and manage system-level requirements and system architecture for railway projects.</li><li>Analyze interfaces and interactions between subsystems (rolling stock, signaling, track, electrification, telecom).</li><li>Support technology selection and configuration for new or upgraded rail projects.</li><li>Ensure compliance with international standards and client technical specifications.</li></ul><b>
System Integration</b><br>
<ul><li>Guarantee system interoperability across different technologies and operators.</li><li>Manage integration of signaling, rolling stock, and infrastructure subsystems.</li><li>Validate compatibility with national and international systems (e.g. ERTMS, CBTC, PTC).</li><li>Coordinate system interface control and manage integration risks.</li></ul><b>
Performance Optimization</b><br>
<ul><li>Evaluate and optimize railway system performance in terms of capacity, reliability, energy efficiency, and maintainability.</li><li>Contribute to operational simulations and capacity studies.</li><li>Identify opportunities for system improvements and lifecycle cost reduction.</li></ul><b>
Verification &amp; Validation (V&amp;V)</b><br>
<ul><li>Define and monitor execution of Verification &amp; Validation activities according to applicable standards (EN 50126/8/9).</li><li>Ensure conformity to system performance and safety requirements.</li><li>Support testing, commissioning, and acceptance processes.</li><li>Participate in design reviews, audits, and safety assessments.</li></ul><b>
Lifecycle Management</b><br>
<ul><li>Support the development of upgrade, renewal, and modernization programs.</li><li>Manage configuration control and ensure system traceability.</li><li>Provide technical support during operation and maintenance phases.</li><li>Contribute to asset management strategies to maximize system availability and lifecycle value.</li></ul><b>
Digitalization &amp; Smart Rail Technologies</b><br>
<ul><li>Promote the adoption of digital solutions (IoT, AI, Big Data) for predictive maintenance and performance monitoring.</li><li>Contribute to the implementation of Digital Twin and Remote Monitoring technologies.</li><li>Support system-level integration of Smart Signaling and automation tools.</li></ul></div></div></div><div><div><div><b>
Education</b></div>
</div><div><div>Bachelor&rsquo;s Degree</div><div>
Master&rsquo;s Degree in Electrical Engineering or Mechanical Engineering</div></div></div><div><div><div><b>
Qualifications</b></div>
</div><div><ul><li>8+ years of experience in system engineering for railway domain projects</li></ul>
<ul><li>Rolling Stock: Locomotives, EMUs, DMUs, High-Speed Trains</li><li>Signaling Systems: ETCS/ERTMS, CBTC, PTC, Interlocking</li><li>Electrification: 25 kV AC, 3 kV DC, 750 V DC traction systems</li><li>Infrastructure: Conventional, High-Speed, Metro, or Light Rail systems</li><li>Deep understanding of Systems Engineering principles (V-Model, Requirements, and Interface Management).</li><li>Familiarity with CENELEC Standards: EN 50126 (RAMS), EN 50128 (Software), EN 50129 (Safety).</li><li>Knowledge of relevant international standards and regulations (IEC 62290, UIC, AAR, FRA).</li><li>Requirements &amp; Configuration Management tools (DOORS, Enterprise Architect, ComplyPro)</li><li>Safety &amp; Reliability Analysis (FMECA, FTA, ReliaSoft)</li><li>Simulation &amp; Design (MATLAB, Simulink, CATIA)</li><li>Understanding of project delivery methodologies (Waterfall, Agile, V-cycle).</li><li>Experience in large-scale or multi-stakeholder railway system projects.</li><li>Excellent analytical, communication, and problem-solving skills.</li></ul></div></div><div><div><div><b>
Competencies</b></div>
</div><ul><li>WORKPLACE DYNAMICS - Resourcefulness in shaping progress and working efficiently.
</li><li>PERSONAL EMPOWERMENT - Ownership for life, work and results, striving to grow professionally and personally.
</li><li>INTERPERSONAL INFLUENCE - Skills and strategies we use to interact effectively with others.
</li><li>DOMAIN &amp; BUSINESS ACUMEN - Applying a scientific approach and critical thinking in operations and solution development within area of expertise.
</li><li>FORESIGHT &amp; INSIGHT - Context awareness adopting a systemic perspective and informed decision making.</li></ul></div></div><br>
<div></div>
<div>
RINA is a multinational company providing a wide range of services in the energy, marine, certification, infrastructure &amp; mobility, industry, research &amp; development sectors. Our business model covers the full process of project development, from concept to completion.</div><br>
<div></div>
<div><i>
At RINA, we endeavor to create a work environment where every single person is valued and encouraged to develop new ideas. We provide equal employment opportunities and are committed to creating a workplace where everyone feels respected and safe from discrimination or harassment of any kind. We are also compliant to the Italian Law n. 68/99.</i></div></div></div></div></div></div><p></p>

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 To qualify, you must have:
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 8 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Hands on expertise designing and implementing GenAI solutions on Azure
  </li>
  <li>
   Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
  </li>
  <li>
   Hands on experience with python for prototyping and implementing GenAI solutions
  </li>
  <li>
   Expertise optimizing advanced RAG architectures and designing information retrieval system
  </li>
  <li>
   Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
  </li>
  <li>
   Understanding on the latest Agentic and RAG research and innovation areas
  </li>
  <li>
   Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 A highly curious and inquisitive approach to problem-solving
 <br/>
 <br/>
 In-depth knowledge of the latest developments in AI and machine learning
 <br/>
 <br/>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

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