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estimation engineer

machine learning engineer

Confidential

<div>
 
 We are looking for exceptional talent to join our data team. Currently, we have an exciting opportunity for a Data Scientist. We are seeking individuals with deep expertise in data science, a proactive approach, strong collaboration skills, and a passion for cultivating a positive and forward-thinking work environment.
 
 
 
 
 
 ROLES &amp; RESPONSIBILITIES
 
 
 
 
 
 <ul>
 <li>
 Collaborate with IT and data management teams to ensure the accurate and timely collection of data related to all commercial activities within the airport.
 </li>
 <li>
 Develop and implement sophisticated ETL processes integrating diverse data sources.
 </li>
 <li>
 Design and execute complex data models using statistical and machine learning techniques.
 </li>
 <li>
 Lead analytics projects with Azure Data Lake, Azure Databricks, Data Warehouse, and Power BI.
 </li>
 <li>
 Manage, mentor, and grow a team of data scientists and BI developers.
 </li>
 <li>
 Spearhead the integration of advanced analytics into strategic planning, enhancing forecasting accuracy and market response.
 </li>
 <li>
 Collaborate with business units to translate complex data insights into actionable business strategies.
 </li>
 <li>
 Champion the use of data science in identifying new business opportunities and revenue streams.
 </li>
 <li>
 Act as a bridge between the data analytics team and commercial stakeholders, ensuring that data-driven recommendations are actionable and aligned with business objectives.
 </li>
 <li>
 Explore the use of artificial intelligence (AI) and big data solutions to improve the airport&rsquo;s commercial decision-making processes.
 </li>
 <li>
 Stay updated on the latest trends and developments in data analytics and technology to ensure the airport remains at the forefront of innovation
 </li>
 <li>
 Conduct end-to-end data analysis, modelling, and experimentation using Databricks&rsquo; unified data analytics platform.
 </li>
 <li>
 Apply advanced statistical methods, machine learning, and AI algorithms to solve complex business problems.
 </li>
 <li>
 Build and optimize data science models to support business decisions and operational improvements.
 </li>
 <li>
 Collaborate with data engineers to design and maintain efficient data pipelines, ensuring data quality and integrity.
 </li>
 <li>
 Use Databricks for building scalable, distributed data processing workflows and transforming large datasets for analysis.
 </li>
 <li>
 Optimize workflows for big data applications and automate recurring data tasks.
 </li>
 <li>
 Work closely with data engineering, product, and business teams to translate business requirements into data-driven solutions.
 </li>
 <li>
 Lead discussions on best practices and the integration of Databricks for different teams across the organization.
 </li>
 <li>
 Foster a collaborative environment by sharing insights and promoting data science across departments.
 </li>
 <li>
 Design, develop, and implement machine learning models using Databricks to improve decision-making processes.
 </li>
 <li>
 Leverage Databricks' Machine Learning Runtime for tracking, optimizing, and deploying machine learning models.
 </li>
 <li>
 Ensure scalability and performance of models in production, including real-time scoring and retraining.
 </li>
 </ul>
 
 
 
 
 
 Technical skills required
 
 
 <ul>
 <li>
 Natural Language Processing (NLP) deployment
 </li>
 <li>
 Machine Learning (Azure Databricks)
 </li>
 <li>
 ML experiments and training
 </li>
 <li>
 Deployment of production (MLOps)
 </li>
 <li>
 Take end to end ownership of all ML features
 </li>
 <li>
 Recommendation systems
 </li>
 <li>
 AI Software Engineering
 </li>
 </ul>
 
 
 
 
 
 EDUCATION AND EXPERIENCE
 
 
 
 
 
 <ul>
 <li>
 A minimum of 6 years of experience in data science, with advanced proficiency in SQL, Python/R, Azure Databricks, Azure Datafactory and BI tools such as Power BI
 </li>
 <li>
 Strong fundamental knowledge in machine learning, statistical analysis, and predictive modelling.
 </li>
 <li>
 Proficiency in Databricks and Spark for large-scale data processing.
 </li>
 <li>
 Strong experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and SQL.
 </li>
 <li>
 Expertise in Python, Scala, or R for data science tasks.
 </li>
 <li>
 Experience with cloud platforms ( Azure) and Databricks&rsquo; cloud infrastructure.
 </li>
 <li>
 Excellent problem-solving and analytical thinking.
 </li>
 <li>
 Strong collaboration and communication skills.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Etihad

<div>
 Synopsis
 
 
 
 
 As a Data Scientist your primary responsibility is to utilize data to improve various aspects of the airline's operations. Apply advanced statistical and machine learning techniques to develop AI-driven solutions aimed at enhancing efficiency and customer experiences. Analyze data, predicting trends, and optimizing processes across different operational areas, contributing to incremental improvements in the airline's performance and competitiveness.
 
 
 Accountabilities
 
 
 
 
 
 Data Analysis and Modeling:
 
 
 
 <ul>
 <li>
 Conduct in-depth analysis of large and complex datasets to extract meaningful insights and identify actionable opportunities for improvement.
 
 
 </li>
 </ul>
 
 Algorithm Development:
 
 
 
 <ul>
 <li>
 Design, develop, and deploy cutting-edge predictive models and algorithms that address key challenges and opportunities within the aviation industry.
 
 
 </li>
 </ul>
 
 Optimization and Automation:
 
 
 
 <ul>
 <li>
 Continuously refine and optimize machine learning models to improve accuracy, efficiency, and scalability, while also exploring opportunities for automation to streamline processes and reduce manual effort.
 
 
 </li>
 </ul>
 
 Collaboration and Innovation:
 
 
 
 <ul>
 <li>
 Collaborate closely with cross-functional teams including software engineers, aviation experts, and business stakeholders to co-create innovative solutions that address real-world challenges and deliver tangible business value.
 
 
 </li>
 </ul>
 
 Research and Development:
 
 
 
 <ul>
 <li>
 Stay abreast of the latest advancements in data science, AI, and aviation technology, and proactively explore emerging trends and methodologies to drive continuous innovation and improvement.
 
 
 </li>
 </ul>
 
 Communication and Stakeholder Engagement:
 
 
 
 <ul>
 <li>
 Effectively communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear, compelling presentations and reports, and actively engage with stakeholders to gather feedback and ensure alignment with business objectives.
 
 
 </li>
 </ul>
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Data Science, Aviation Engineering, or a related field.
 </li>
 <li>
 5-7 years&rsquo; experience working as a Data Scientist or similar role, preferably in aviation or a related field.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., pandas, numpy, scikit-learn).
 </li>
 <li>
 Strong understanding of machine learning techniques and algorithms such as regression, classification, clustering, neural networks, etc., with experience applying to real-world problems.
 </li>
 <li>
 Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.Knowledge of aviation operations and industry-specific challenges and opportunities is desirable.
 </li>
 <li>
 Excellent problem-solving skills, attention to detail, and the ability to work effectively both independently and as part of a team.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to effectively collaborate with colleagues across various disciplines and levels of the organization.
 
 
 </li>
 </ul>
 
 About Etihad Airways
 
 
 
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 
 
 To learn more, visit etihad.com
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>

Data Scientist

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
 
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology
 </li>
 <li>
 You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems
 </li>
 <li>
 Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI&rsquo;s state-of-the-art biology foundation models and drive the research agenda to generate impact
 
 
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States)
 </li>
 <li>
 A strong coder with excellent skills in C/C++ and Python
 </li>
 <li>
 Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc
 </li>
 <li>
 Have a solid understanding of GPU, CPU, or other AI accelerator architectures
 </li>
 <li>
 Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters)
 </li>
 <li>
 Have experience improving ML accuracy using low-precision formats
 </li>
 <li>
 Have 1+ years of relevant industry experience
 </li>
 <li>
 Derive a great deal of satisfaction from every percentage point of performance improvement
 </li>
 <li>
 Have experience writing and optimizing compute kernels using CUDA or similar languages
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems
 </li>
 <li>
 Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis
 </li>
 <li>
 Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI&rsquo;s model development and deployment frameworks
 </li>
 <li>
 Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN)
 </li>
 <li>
 Knowledge of performance profiling and optimization tools for HPC and deep learning
 
 
 
 
 </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>

Research Engineer Intern

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

Presight

<div>
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight, an ADX-listed public company with Abu Dhabi-based G42 as its majority shareholder, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (AI). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI, and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 
 
 
 The Opportunity
 
 
 
 Presight is looking for a qualified and proficient
 
 Data Scientist
 
 to develop and deliver AI-powered capabilities for public safety solutions and products. This role focuses on LLMs, agentic &amp; conversational AI, and retrieval-augmented generation to extract insights, summarize information, and support decision-making in high-stakes operational environments. The candidate will play a pivotal role in shaping next-generation AI workflows, ensuring outputs are accurate, explainable, and aligned with organizational objectives.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Innovate, design, build, and deploy autonomous AI agents and LLM-powered solutions that enhance workflow automation, summarization, and decision-support in public safety and operational contexts.
 </li>
 <li>
 Develop agentic systems capable of interacting with APIs, querying internal knowledge sources, and reasoning over structured and unstructured data.
 </li>
 <li>
 Develop AI tools and integrate LLMs with external systems, leveraging frameworks such as MCP to streamline interactions and enable agentic workflows.
 </li>
 <li>
 Collaborate with data scientists, MLOps engineers, and software engineers to design and implement agentic systems and automated workflows.
 </li>
 <li>
 Develop evaluation frameworks to measure model and agent performance, scalability, safety, and impact on operational workflows.
 </li>
 <li>
 Contribute to shared AI infrastructure, including reusable APIs, prompt libraries, model registries, and best-practice guidelines for agent development.
 </li>
 <li>
 Stay aligned with the latest research, open-source advancements, and emerging AI/ML technologies, acting as an evangelist to promote adoption of cutting-edge solutions.
 </li>
 <li>
 Engage with stakeholders and clients by presenting demos, gathering feedback, and collaborating on-site as required to ensure successful delivery.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in AI, data science, computer science, or related field.
 </li>
 <li>
 Minimum 3 years of professional experience in AI/NLP development
 </li>
 <li>
 Hands-on experience in LLMs, prompt engineering, conversational and agentic AI frameworks.
 </li>
 <li>
 Strong programming skills in Python, with experience in PyTorch.
 </li>
 <li>
 Experience with Hugging Face ecosystem, embeddings, vector databases, RAG pipelines, and agentic AI frameworks such as LangFlow, LangGraph, and DIFY.
 </li>
 <li>
 Experience building and integrating knowledge graphs for entity linking, relationship modelling, and structured reasoning.
 </li>
 <li>
 Familiarity with recommender systems and traditional ML algorithms for decision-support applications.
 </li>
 <li>
 Hands-on experience with Docker, API development, cloud platforms (AWS, GCP, or Azure), GPU clusters, and high-performance computing environments.
 </li>
 <li>
 Proficient with Git/version control, and reproducible development practices.
 </li>
 <li>
 Proven track record of deploying AI/LLM solutions for real-world applications.
 </li>
 <li>
 Strong analytical and evaluation skills, with experience in model metrics, error analysis, and bias detection.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience designing and deploying autonomous or agentic AI systems in operational workflows in production environments.
 </li>
 <li>
 Practical experience with graph databases (Neo4j, AWS Neptune, etc.) and graph-based reasoning approaches.
 </li>
 <li>
 Exposure to ethical AI frameworks, compliance, and explainable AI techniques.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 Inquisitive, performance-driven individuals with a bias for action, who can work effectively under ambiguity and rapidly iterate on AI solutions. The ideal candidate will have strong technical skills, the ability to collaborate well with the team, and a passion for building trustworthy AI capabilities that deliver meaningful operational impact.
 
 
 
 What Working At Presight Offers
 
 
 
 
 Culture:
 
 An open, diverse and inclusive environment with a global vision and focus on innovation.
 
 
 
 Career:
 
 Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
 
 
 
 Rewards:
 
 Competitive remuneration with perks including healthcare, education support, and leave benefits.
</div>

Contango

<div>About the Role
The future of AI doesn&rsquo;t just depend on smarter models, it depends on the systems that bring them to life. 
We&rsquo;re building those systems. 
As an AI Systems Engineer, you&rsquo;ll design and deploy intelligent architectures powered by LLMs, multi-agent systems, and RAG pipelines. You&rsquo;ll operate where AI research meets real-world engineering, transforming cutting-edge ideas into scalable products that automate complex business processes and deliver measurable impact.
This is a hands-on role for builders who love both innovation and execution - crafting autonomous AI workflows, integrating diverse APIs, and deploying production-grade AI systems in modern SaaS environments. 
Key Responsibilities<ul>
<li>
Architect and build end-to-end AI solutions leveraging LLMs, LangGraph, and FastAPI, enabling intelligent automation for enterprise-scale applications</li>
</ul><ul><li>Design, build, and optimize multi-agent frameworks for coordination, tool use, and autonomous reasoning. Implement StateGraph or similar orchestration frameworks for complex, interdependent workflows</li>
<li>Develop and deploy RAG systems using Azure AI Services or equivalent &mdash; handling document ingestion, vector database integration, and context-aware retrieval for personalized user experiences</li>
<li>Create conversational AI agents that understand multi-turn context, perform task automation (e.g., candidate/job creation, document summarization), and enhance decision-making through natural interaction</li>
<li>Integrate diverse APIs (e.g., Recall.ai, Deepgram, CRM or HR systems) for seamless, end-to-end automation across business platforms</li>
<li>Monitor and improve latency, accuracy, and scalability of AI pipelines. Define evaluation metrics for agent performance, retrieval precision, and generative reliability</li>
<li>Work closely with product, data, and backend teams to define AI features, assess feasibility, and align technical solutions with business goals</li>
</ul>
Candidate Requirements<ul>
<li>Proven experience designing, building, and shipping AI-powered features that solve real business problems</li>
<li>An experimental, curious mindset with a drive to tackle open-ended challenges.</li>
<li>Deep, hands-on familiarity with the modern AI stack &mdash; RAG, vector databases, prompt engineering, fine-tuning, and evaluation frameworks</li>
<li>Ability to balance innovation and reliability, grounding cutting-edge research in scalable, production-ready systems</li>
</ul>
Expertise in one or both areas<ul>
<li>
Software Engineering &amp; Systems Design &ndash; Strong Python skills, experience building scalable APIs/services (e.g., FastAPI, Django), and solid understanding of infrastructure, CI/CD, and system design</li>
<li>ML Engineering &amp; Research &ndash; Proficiency in ML frameworks (PyTorch, TensorFlow, Hugging Face) with a strong grasp of model architecture, training, and optimization</li>
</ul>
Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

Senior AI Engineer

Kyndryl

<div>Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. 
 
The Role
As an Agentic AI Data Scientist at Kyndryl, you&rsquo;ll help shape the future of advanced Agentic AI while working with a team that&rsquo;s leading the industry.
We're solving real-world problems at a massive scale &mdash; powered by creativity, precision, and a shared obsession with what&rsquo;s next.
You&rsquo;ll be part of a team shaping the future of Agentic AI - architecting and scaling a next-gen open-source framework that powers autonomous systems across industries.
We're not just talking innovation - we're building it. Fast.
Startup inside Kyndryl : Zero bureaucracy. You&rsquo;ll work with autonomy, follow your own leads, and build real systems &ndash; not tickets.
Tech-first, action-oriented culture : Think in code. Rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
Direct impact at scale : Drive Kyndryl as an AI-native company - your ideas and IP shape the transformation.
Deep academic integration : Be an industrial PhD supervisor. Co-author whitepapers. Publish with 2nd or 3rd attribution. Elevate your profile.
Work that matters : Client-first, innovation-always. Balance advanced programming with strategic thinking and client interaction.
True builder&rsquo;s environment : Collaborate with top-tier talent (most of the team holds PhDs). Everyone contributes equally &mdash; ideas over titles.
What You&rsquo;ll Do
<ul><li>Serve as the bridge between deep technical work and business transformation, solving meaningful challenges through Agentic AI.
</li><li>Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
</li><li>Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
</li><li>Co-own the evolution of the Agentic AI framework - not just code, but also architecture, design, product thinking, and client success.
</li><li>Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.
</li></ul>Your Future at Kyndryl
We don&rsquo;t hire for a role - we hire for a journey. You&rsquo;ll be empowered to work remotely, flexibly, and at your best. Your success is measured by what you create, not where you work from. Expect an innovation cycle where you&rsquo;ll build a legacy portfolio and help reimagine what AI can do for business. 
 
Who You Are
Who You Are
 
You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
 
 
Required Skills and Experience
<ul><li>3+ years of experience as an Agentic AI Data Scientist or in a comparable role
</li><li>Proven track record in client-facing engagements, demonstrating strong consultancy and stakeholder management skills
</li><li>Hands-on experience delivering end-to-end GenAI projects and systems
</li><li>MSc in computer science, mathematics, AI, or a related field
</li><li>Hands-on Agentic AI / GenAI engineering exposure - building or contributing to frameworks, not just using APIs
</li><li>Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers)
</li></ul>Preferred Skills and Experience
<ul><li>Ability to operate independently and collaborate within a high-trust, low-hierarchy team
</li><li>Contributions to academic/technical communities and shaping open-source projects
</li><li>PhD or equivalent research experience
</li></ul>Bonus Points For:
<ul><li>Certifications in Azure, AWS, or Google ML platforms
</li><li>Demonstrated contributions to graph theory, DevOps, or distributed systems
</li><li>Previous projects involving digital transformation, AI-native product development, or enterprise automation
</li><li>Presence in academic or whitepaper communities (authorship, publication, or presentation)
</li>Arabic language skills 
<li>
</li></ul> 
Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way. 
 
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

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