informatics scientist

Varshney Infotech Pvt Ltd

Gen AI Data ScientistLocation - RemoteJob Type - Contract (12 months)Company - Varshney Infotech Pvt LtdWe are looking for a Data Scientist/ Senior Data Scientist for our Advanced Analytics and Big Datateam. The scope of the team is to generate insights for data-driven decision in the domain of productdevelopment using methods of systematical data analysis. The main task is to identify suitableproblem statements and develop sustainable solutions in an international and diverse environment.Our methods are based on state of the art technology such as artificial intelligence, cloud computingand agile software development in order to provide groundbreaking insights for vehicle development.Responsibilities &amp;amp; Key DeliverablesArtificial Intelligence &amp;amp; Machine Learning&#61623; Cognitive AI Applications &amp;amp; Chatbots&#61623; Full stack development &amp;amp; product Management (Web, Mobile): Hardcore Full Stack DataScientist with end to end single-handed multi hat role to work on building an AI ConversationVoice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech toText Conversion, Audio/Video analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN,deep learning to solve the specific complex problem in Auto sector as single-handed doer orin a small Data Science Team with full end to end ownership of delivery&#61623; Machine Learning - Classification and prediction for intuitive results at scale. Strongexperience in Deep Learning Algorithms. Needs to have statistical, mathematical, predictivemodeling as well as business strategy skills to build the algorithms necessary to ask the rightquestions and find the right answers.Statistical Data Modelling, Big Data&#61623; Recommend appropriate searching and indexing methods&#61623; Use big data tools and platforms to access data and run models&#61623; Big Data: Remove constraints on volume, variety and velocity of data&#61623; Data Modelling: Identifying factors and relationships to make predictions for competitiveadvantageData Management and Insight&#61623; Data sourcing, integration, scaling and optimization. Ensure provenance and&#61623; Clean data through statistical approaches, such as identifying outliers and transform datainto machine-readable formats&#61623; Optimize performance of database queries/schema (basics such as adding indices etc.),processing unstructured data (text, voice, image)&#61623; Cleaning data, formatting data, Having the ability to query databases &amp;amp; perform statisticalanalysis, build AI Data Modelling, validating the AI Model and deploymentBusiness Understanding and Project Management&#61623; Use subject matter knowledge in the areas of business operations (HR, Manufacturing,Supply Chain, Sales &amp;amp; Marketing etc.) in order to understanding business requirementeffectively. Manages projects effectively ensuring objectives, deadlines and budgets are metby team members under own control.InternalGeneral Experience&#61623; 3 to 7 years of strong experience in applied AI ML &amp;amp; Deep Learning Data Science&#61623; End to end single-handed hands-on full-stack Data Scientist / Sr. Data Scientist.&#61623; Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-5 good Applied AI-oriented Applied Research Projects &amp;amp; Industry Projects applicationsNote - Candidates must have their own LaptopCan share resume to samiksha.kesharwani@varshneyinfotech.net or kesharwanisameeksha07@gmail.comJob Types: Full-time, Contractual / Temporary, Freelance Contract length: 12 monthsPay: &#8377;150,000.00 - &#8377;250,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Work Location: In person

GEN AI Data Scientist

Peraton

<div>About Peraton 
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. 
 
Program Overview 
 
About The Role 
 
**Position is Contingent Upon Award** 
 
Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation's skies safe and connected. 
 
We're looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world's most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration. 
 
At Peraton, you won't just support the mission - you'll define it. 
 
Join a team dedicated to protecting the safety and integrity of U.S. air travel. Peraton is seeking a AI Research Scientist to join our team of qualified, diverse individuals. The ideal candidate will influence national strategies and policies by guiding decisions on integrating next-generation technologies like Artificial Intelligence (AI), satellite navigation, and unmanned aircraft systems (UAS). Whether you're supporting safety validation efforts or leading teams on major FAA programs, your work will directly impact the millions of passengers and aviation professionals who rely on safe, efficient airspace operations every day. The AI Research Scientist will work with senior research scientists and managers to perform research and development of AI/ML technologies such as natural language processing and generative AI. 
 
The AI/ML Research Scientist will work with project leads and managers to perform research and development of AI/ML technologies, with primary focus on generative AI. Candidates are expected to work with R&amp;D teams to customize and apply developed technologies to address problems of interest to customers. Candidates are expected to possess ability and experience to perform cutting-edge AI/ML research under the supervision of managers.
 
 
Qualifications 
 
Required:
 
 
<ul><li>U.S. Citizenship Required.
</li><li>Must have the ability to obtain / maintain a Public Trust clearance
</li><li>Bachelor's degree and 8+ years, Master's degree and 6+ years, or PhD and 3+ years in Engineering, Computer Science, Physics, or a related technical field of experience
</li><li>Demonstratable AI/ML research experience, academic research publications in peer-reviewed international AI/ML conferences are required, unless similar qualifications can be demonstrated
</li><li>Expertise in one or more programming languages: C, C++, Python, Javascript
</li><li>Hands-on development experience in AI/ML model building and tuning
</li><li>Hands-on development experience of agentic AI
</li><li>Demonstratable proficiency in working with state-of-the-art large language models at the API level (During interviews on MS Teams, candidates are expected to use VSCode to execute tasks through programmatic interactions with OpenAI tool/function calling API)
</li><li>Modern software development practices and toolsets (Git, CI/CD toolchains)
</li></ul> 
Desired:
 
 
<ul><li>Machine learning libraries, such as TensorFlow, PyTorch, etc
</li><li>Anthropic's Model Context Protocol (MCP)
</li><li>End-to-end machine learning model and generative AI agent development experience
</li><li>Linux, containers such as Docker, and orchestration tools such as Kubernetes
</li><li>Hands-on AI/ML development experience in cloud environments, such as AWS Bedrock
</li><li>Full stack programming experience
</li><li>Azure cloud working experience
</li></ul> 
SCA / Union / Intern Rate or Range 
 
Details 
 
Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
 
 
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div>

AI/ML Research Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As an Applied Scientist with the AGI team, you will work with talented peers to support the development of algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs. 
 
About the team 
The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience</li><li>1+ years of building models for business application experience</li><li>Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in Computer Science, Electrical Engineering, Mathematics or related field</li><li>Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with popular deep learning frameworks, including PyTorch</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Artificial General Intelligence

Koc Finansman A.S.

<div>
 
 Veri odakl&inodot; &scedil;irket ve alan&inodot;nda &ouml;nc&uuml; ARGE olma yolculu&gbreve;umuza devam ederken, Bilgi Teknolojileri ve Arge Direkt&ouml;rl&uuml;&gbreve;&uuml; olarak &ccedil;evik &ccedil;al&inodot;&scedil;ma k&uuml;lt&uuml;r&uuml;n&uuml; benimsedik. Ekibimize teknolojik geli&scedil;im, y&uuml;ksek i&scedil;birli&gbreve;i, yarat&inodot;c&inodot;l&inodot;k ve m&uuml;&scedil;teri odakl&inodot;l&inodot;k &ccedil;er&ccedil;evesinde katk&inodot; sa&gbreve;layacak, &ldquo;Veri Bilimci/Data Scientist&rdquo; olarak g&ouml;rev alacak arkada&scedil;&inodot;m&inodot;z&inodot; bekliyoruz.
 
 
 Sen de bu heyecanl&inodot; yolculukta bize kat&inodot;lmak istersen; sorumlu olaca&gbreve;&inodot;n alanlar&inodot; ve i&scedil; tan&inodot;m&inodot;n&inodot; a&scedil;a&gbreve;&inodot;da bulabilirsin;
 
 
 
 
 
 
 Sorumluluk Alanlar&inodot; ve &Idot;&scedil; Tan&inodot;m&inodot;
 
 
 <ul>
 <li>
 &Ccedil;evik d&ouml;n&uuml;&scedil;&uuml;m ve Ar-Ge kapsam&inodot;nda y&uuml;r&uuml;t&uuml;len projelerde aktif rol almak,
 </li>
 <li>
 AI metodolojilerini (ML, DL, NLP, GenAI) kullanarak modelleme &ccedil;al&inodot;&scedil;malar&inodot; y&uuml;r&uuml;tmek,
 </li>
 <li>
 &Idot;statistiksel analiz, makine &ouml;&gbreve;renmesi, optimizasyon modelleri geli&scedil;tirmek ve yeni teknolojileri ara&scedil;t&inodot;rarak uygulamak,
 </li>
 <li>
 Ar-Ge hedefleri do&gbreve;rultusunda literat&uuml;r ara&scedil;t&inodot;rmalar&inodot; yapmak ve en iyi uygulamalar&inodot; projelere aktarmak,
 </li>
 <li>
 &Idot;&scedil; birimlerinin ihtiya&ccedil; duydu&gbreve;u alanlarda analitik proje fikirleri &ouml;nermek, geli&scedil;tirmek ve y&ouml;netmek,
 </li>
 <li>
 BT ve Ar-Ge b&uuml;nyesindeki yaz&inodot;l&inodot;m ekipleriyle yak&inodot;n &ccedil;al&inodot;&scedil;arak geli&scedil;tirilen algoritmalar&inodot;n devreye al&inodot;nmas&inodot;n&inodot; sa&gbreve;lamak,
 </li>
 <li>
 Modelleme s&uuml;re&ccedil;lerinde veri do&gbreve;rulu&gbreve;unu sa&gbreve;lamak ve veri kalitesini art&inodot;racak &ccedil;al&inodot;&scedil;malar y&uuml;r&uuml;tmek,
 </li>
 <li>
 Geli&scedil;tirilen modellerin performans&inodot;n&inodot; izlemek, de&gbreve;erlendirmek ve iyile&scedil;tirmek,
 </li>
 <li>
 Agentic AI ve B&uuml;y&uuml;k Dil Modelleri (LLM) tabanl&inodot; &ccedil;&ouml;z&uuml;mler geli&scedil;tirerek i&scedil; s&uuml;re&ccedil;lerinde verimlilik art&inodot;rmak,
 </li>
 <li>
 Yeni nesil NLP ve &ccedil;ok modlu (multimodal) &ccedil;&ouml;z&uuml;mler &uuml;zerinde &ccedil;al&inodot;&scedil;mak: &ouml;zetleme, bilgi tabanl&inodot; soru-cevap sistemleri (RAG), yarat&inodot;c&inodot; i&ccedil;erik &uuml;retimi, ak&inodot;ll&inodot; yard&inodot;mc&inodot; sistemler (copilot), uyumluluk otomasyonu vb.,
 </li>
 <li>
 A2A (Agent-to-Agent) ileti&scedil;im protokollerini tasarlayarak &ccedil;oklu ajan ekosistemlerinde i&scedil; birli&gbreve;ini sa&gbreve;lamak.
 </li>
 </ul>
 
 
 
 
 
 Genel Nitelikler
 
 
 <ul>
 <li>
 Bilgisayar, End&uuml;stri, Matematik M&uuml;hendisli&gbreve;i, Matematik, Fizik, Ekonometri veya &Idot;statistik b&ouml;l&uuml;mlerinden mezun, tercihen bu alanlarda y&uuml;ksek lisans veya doktora derecesine sahip,
 </li>
 <li>
 Veri bilimi alan&inodot;nda en az 2-3 y&inodot;l tecr&uuml;beli, tercihen bankac&inodot;l&inodot;k veya finans sekt&ouml;r&uuml;nde deneyim sahibi,
 </li>
 <li>
 AI/ML metodolojileri, istatistiksel analiz, optimizasyon ve yapay &ouml;&gbreve;renme ara&ccedil;/k&uuml;t&uuml;phanelerinde deneyimli,
 </li>
 <li>
 Python, R, Java, Matlab gibi programlama dillerine h&acirc;kim,
 </li>
 <li>
 Tercihen SQL, veri taban&inodot; yap&inodot;lar&inodot; ve Deep Learning framework&rsquo;leri (TensorFlow, PyTorch) konusunda deneyimli,
 </li>
 <li>
 LangChain, LlamaIndex, OpenAI API gibi modern yapay zek&acirc; ekosistemlerinde &ccedil;al&inodot;&scedil;maya istekli,
 </li>
 <li>
 &Idot;yi derecede &Idot;ngilizce bilen,
 </li>
 <li>
 &Idot;leti&scedil;im becerileri g&uuml;&ccedil;l&uuml;, tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;n,
 </li>
 <li>
 Ara&scedil;t&inodot;rmaya, yeni teknolojilere ve kendini s&uuml;rekli geli&scedil;tirmeye a&ccedil;&inodot;k,
 </li>
 <li>
 Problem &ccedil;&ouml;zme ve analitik d&uuml;&scedil;&uuml;nme yetene&gbreve;i y&uuml;ksek,
 </li>
 <li>
 Sonu&ccedil; odakl&inodot; ve yenilik&ccedil;i bir bak&inodot;&scedil; a&ccedil;&inodot;s&inodot;na sahip isen
 </li>
 </ul>
 
 Ba&scedil;vurunuzu bekliyoruz!
 
 
 
 
 
 
 &ldquo;6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiye https://www.kocfinans.com.tr/tr/kariyer/kocfinansli-olmak adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz.&rdquo;
 
 
 
 
</div>

Veri Bilimci/Data Scientist

MAERSK

<div>The Brief
 
 
In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings.
 
 
You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems.
 
 
The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement.
 
 
You&rsquo;ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs.
AI/ML Scientist &ndash; Global Data Analytics, Technology (Maersk) 
 
This position will be based in India &ndash; Bangalore/Pune
 
 
A.P. Moller - Maersk
 
 
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. 
 
As a performance-oriented company, we strive to always recruit the best person for the job &ndash; regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams.
What I'll be doing &ndash; your accountabilities? 
 
<ul><li>Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights
</li><li>Develop predictive models and validate their effectiveness
</li><li>Support the design of experiments to validate and compare multiple machine learning approaches
</li><li>Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability
</li><li>Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks
</li><li>Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and simulation
</li><li>Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects
</li><li>Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards
</li><li>Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration
</li>Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance 
<li>
</li></ul> 
Foundational Skills 
 
<ul><li>Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios
</li><li>AI &amp; Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. 
</li></ul> 
Specialized Skills 
 
<ul><li>To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance:
<ul><li>Data Validation and Testing
</li><li>Data Analysis
</li><li>Simulation (Monte Carlo, Discrete Event and/or Agent-based)
</li><li>Model Deployment
</li><li>Machine Learning Pipelines
</li><li>Deep Learning
</li><li>Optimization &amp; Scientific Computing
</li><li>Decision Modelling and Risk Analysis.
</li></ul></li>To understand fundamentals and can demonstrate this skill in common scenarios with guidance:
Technical Documentation. 
<li><ul><li>
</li></ul></li></ul> 
Qualifications &amp; Requirements 
 
<ul><li>BSc/MSc/PhD in computer science, data science, mathematics, statistics or related discipline
</li><li>5+ years of years of relevant experience in the field of Data Science
</li><li>Excellent hands-on experience with Apache Spark, Python and SQL
</li><li>Strong experience with simulation methods (Monte Carlo, Discrete Event or Agent Based) and respective Python libraries (e.g. SimPy)
</li><li>Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions)
</li><li>Proven track record in working with large datasets and big data technologies to train and evaluate machine learning models.
</li><li>Communicate effectively with technical and non-technical audiences with experience in stakeholder management
</li><li>Structured, highly analytical mind-set and excellent problem-solving skills
</li><li>Self-starter, highly motivated &amp; Willing to share knowledge and work as a team
</li>An individual who respects the opinion of others; yet can drive a decision though the team 
<li>
</li></ul> 
Preferred Experiences 
 
<ul><li>Experience with containerization: Kubernetes &amp; Docker
</li><li>Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C
</li><li>Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc
</li></ul>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</div>

AI/ML Scientist

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 Machine Learning Scientist
 
 
 
 
 Location
 
 : Dubai, UAE
 
 
 
 Department
 
 : Applied AI &amp; Data Science Team
 
 
 
 Reports To
 
 : Head of AI &amp; Data Science
 
 
 
 About The Role
 
 
 
 We are looking for a highly experienced
 
 Machine Learning/Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 
 
 </li>
 </ul>
 
 Cross-Team Collaboration
 
 :
 
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 4+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 <li>
 Good working knowledge of cloud platforms like AWS, GCP, or Azure.
 </li>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 
 </li>
 </ul>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 
 
 </li>
 </ul>
 
 Our promise to talent
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 Property Finder Guiding Principles
 
 
 
 <ul>
 <li>
 Think Future First
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 Data Beats Opinions, Speed Beats Perfection
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 Optimise for Impact
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 No Ostriches Allowed
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 Our People, Our Power
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 The Biggest Risk is Taking no Risk at All
 
 
 </li>
 </ul>
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
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 Linkedin
 
 
 Glassdoor
</div>

Machine Learning Scientist

<div><div><div><div><div>AI/ML Scientist (Operations research/Optimization/Simulation)
 
 
A.P. Moller - Maersk
 
 
A.P. Moller &ndash; Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers&rsquo; supply chains.
 
 
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
The team - who are we:
We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML), advanced simulation, optimization and engineering excellence to make a difference for our customers. 
 
We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally. 
 
We are now seeking a new team member who is excited about developing advanced simulation models,optimization algorithms and AI/ML solutions that create operational insights for container shipping terminals
worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency
and business value.
We Offer - This Is What You Get
You will be part of the APM Terminals team within Global data and analytics (GDA), responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
terminals. As an AI/ML Scientist, you will have a leading role in designing, building, maintaining, and
iterating on products that directly impact terminal operations. 
 
This position offers a unique opportunity to develop and apply your deep knowledge of simulation, optimization, data science methods, software engineering, and modern AI development tools to create
operational and strategic insights that are transforming container terminal operations globally.
 
This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in
terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global trade via world-leading container terminals. We focus on our people and the right candidate will have broad
possibilities to further develop competencies in an environment characterized by change and continuous Progress.
Key Responsibilities
<ul><li>Design, implement and deliver advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
</li><li>Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
</li><li>Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
</li><li>Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
</li><li>Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
</li><li>Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
</li></ul>To do this job, we imagine you have:
<ul><li>5+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
</li><li>PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
</li><li>Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
</li><li>Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
</li><li>Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
</li><li>Excellent record of delivery using Python and technologies like Git, JIRA, etc.
</li><li>Ability to understand complex operational systems and translate business requirements into effective technical solutions.
</li><li>Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
</li><li>Experience working with cloud environments.
</li></ul>Nice to have:
<ul><li>Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
</li><li>Familiarity with container handling equipment, yard operations, or vessel operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
</li><li>Experience developing and interacting with generative AI models.
</li></ul></div></div></div></div>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .</div>

AI/ML Scientist(Operations research/Optimization/Simulation)

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