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machine learning engineer

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Engineering department oversees all Agoda&rsquo;s ML and software related requirements. Our goal is to enable and increase Agoda&rsquo;s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
 
 
 
 Why Agoda Engineering Team (ML role)?
 
 
 
 Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API&rsquo;s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
 
 
 
 In this Role, you will get to:
 
 
 
 <ul>
 <li>
 Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as LightGBM, Random Forest, CNN, Regression models, etc
 </li>
 <li>
 Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
 </li>
 <li>
 Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
 </li>
 <li>
 We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll need to Succeed:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Expert in SQL, Python3, and JVM based programming language &ndash; ie, Java or Scala
 </li>
 <li>
 Expert in software design/design patterns, functional programming and object-oriented programming.
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience. A strong engineering driven mindset will be required to succeed in this role.
 
 
 </li>
 </ul>
 
 It&rsquo;s great if you have:
 
 
 
 <ul>
 <li>
 Good understanding of Hadoop ecosystems and Big Data architecture and techologies
 </li>
 <li>
 Experience working with Open-source products
 </li>
 <li>
 Experience with Scala development
 </li>
 <li>
 Working in an agile environment using test driven methodologies
 </li>
 <li>
 Systems administration skills in Linux
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hybrid Working Model
 </li>
 <li>
 WFH Set Up Allowance
 </li>
 <li>
 30 Days of Remote Working from anywhere globally every year
 </li>
 <li>
 Employee discount for accommodation globally
 </li>
 <li>
 Global team of 90+ nationalities
 </li>
 <li>
 40+ offices and 25+ countries
 </li>
 <li>
 Annual CSR / Volunteer Time off
 </li>
 <li>
 Benevity Subscription for employee donations
 </li>
 <li>
 Volunteering opportunities globally
 </li>
 <li>
 Free Headspace subscription
 </li>
 <li>
 Free Odilo &amp; Udemy subscriptions
 </li>
 <li>
 Access to Employee Assistance Program (third party for personal and workplace support)
 </li>
 <li>
 Enhanced Parental Leave
 </li>
 <li>
 Life, TPD &amp; Accident Insurance
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

Cerrion

<div>
 
 
 About Cerrion
 
 
 
 
 
 
 At Cerrion, we&rsquo;re building the future of AI-enabled manufacturing. Backed by Y Combinator and top Silicon Valley investors, we deploy video AI Agents that see what&rsquo;s happening on production floors, spot problems automatically, and intervene in real time to keep production running smoothly, at global scale. Our technology is live in factories across 15+ countries, helping leading manufacturers in glass, beverage, food, CPG, building materials, and wood cut downtime by up to 50%. We&rsquo;re at an inflection point and scaling fast.
 
 
 
 
 
 We are hiring a
 
 Delivery Engineer
 
 .
 
 
 
 
 
 
 Your responsibilities
 
 
 
 
 
 <ul>
 <li>
 Prepare the video data for model training.
 </li>
 <li>
 Train machine learning models, optimizing performance and accuracy using our internal tooling.
 </li>
 <li>
 Monitor and control the results of models using our internal tooling.
 </li>
 <li>
 Deploy models to production environments using our internal tooling.
 </li>
 <li>
 Help our R&amp;D team continuously improve our internal tooling and model pipeline.
 </li>
 <li>
 Collaborate with cross-functional teams to align project goals and deliverables.
 </li>
 </ul>
 
 
 
 
 
 Our requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Proven experience in running machine learning pipelines and deploying models to production.
 </li>
 <li>
 Strong understanding of machine learning concepts, particularly in computer vision.
 </li>
 <li>
 Experience in Linux and Python.
 </li>
 <li>
 Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Excellent problem-solving skills and attention to detail is a must.
 </li>
 <li>
 Good English communication skills, both written and verbal.
 </li>
 <li>
 Ability to work collaboratively in a fast-paced startup environment.
 </li>
 </ul>
 
 
 
 
 
 Nice-to-have
 
 
 
 
 
 <ul>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker.
 </li>
 <li>
 Familiarity with data preprocessing and augmentation techniques in computer vision.
 </li>
 <li>
 Previous experience in a similar role within a startup environment.
 </li>
 <li>
 Contributions to open-source projects in the machine learning or computer vision community.
 </li>
 <li>
 Experience with agile methodologies and project management tools (e.g., Linear).
 </li>
 </ul>
 
 
 
 
 
 Why Cerrion
 
 
 
 
 
 
 As an early employee, you are given the chance to join this world-class team and substantially shape the future of a Y Combinator-backed company and be part of its success. Working at Cerrion also enables you to gain unique exposure and impact into different manufacturing industries. Apart from the excitement of building novel technology which has the potential to revolutionize one of the world&rsquo;s biggest industries, we offer:
 
 
 
 
 <ul>
 <li>
 Flat hierarchies, where you work directly with the founders and are part of key decisions
 </li>
 <li>
 A dynamic, unbureaucratic environment with a &ldquo;get things done&rdquo; mentality
 </li>
 <li>
 International and talented team of start-up professionals
 </li>
 <li>
 Opportunity to strongly impact future of a fast-growing company
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 Exposure to real-life and practical AI applications
 </li>
 <li>
 A stimulating and challenging work environment with opportunities for personal and professional growth
 </li>
 </ul>
 
 
 
 
 
 
</div>

Delivery Engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, we're looking for a
 
 Data Engineer (ML/AI)
 
 to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
 <ul>
 <li>
 Designing and maintaining
 
 data pipelines optimized for ML/AI workloads
 
 , including handling of large-scale, unstructured, and semi-structured data.
 </li>
 <li>
 Building
 
 feature pipelines and feature stores
 
 that ensure reusability and consistency of data used by machine learning models.
 </li>
 <li>
 Collaborating with Data Scientists and ML Engineers to understand
 
 data requirements for training, validation, and production deployment
 
 .
 </li>
 <li>
 Ensuring
 
 data quality, lineage, and governance
 
 meet standards required for AI/ML applications.
 </li>
 <li>
 Supporting
 
 MLOps practices
 
 by integrating data pipelines with model training, monitoring, and deployment workflows.
 </li>
 <li>
 Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for
 
 scalable ML data processing
 
 .
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 What you bring
 
 
 
 
 <ul>
 <li>
 
 8+ years
 
 of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to
 
 ML/AI-related data workflows
 
 .
 </li>
 <li>
 College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;
 </li>
 <li>
 Excellent analytical and problem-solving skills;
 </li>
 <li>
 Experience with
 
 data preparation for ML/AI
 
 : managing large datasets, feature engineering, and real-time or batch data pipelines.
 </li>
 <li>
 Familiarity with
 
 MLOps concepts
 
 and how data engineering supports model lifecycle management.
 </li>
 <li>
 Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for
 
 complex ML pipelines
 
 .
 </li>
 <li>
 Knowledge of unstructured data processing (text, images, logs) is a plus.
 </li>
 <li>
 Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer (ML/AI)

Girmairi

<div>
 
 This role requires someone who understands
 
 both machine learning fundamentals in deep levels and real-world implementation.
 
 The Lead AI/ML Engineer will design, develop, and deploy machine learning models to address real-world challenges. Responsibilities include working with neural network architectures, implementing algorithms to improve system performance, and solving complex problems related to AI applications. The role also involves analyzing and interpreting large datasets to advance the organization&rsquo;s mission-driven goals.
 
 
 
 
 
 This is
 
 not a research role.
 
 You should be able to lead and hit the ground running.
 
 
 This is
 
 not a &ldquo;just prompt engineering&rdquo; role.
 
 
 
 This is
 
 not Junior/mid-level position.
 
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Design, build, and deploy ML models into production
 </li>
 <li>
 Work with LLMs (OpenAI, Claude, open-source models, etc.)
 </li>
 <li>
 Fine-tune and evaluate models when needed
 </li>
 <li>
 Design data pipelines for training and inference
 </li>
 <li>
 Run experiments and benchmark different models
 </li>
 <li>
 Work closely with backend engineers to integrate AI into products
 </li>
 <li>
 Improve model performance, latency, and cost efficiency
 </li>
 <li>
 Build evaluation frameworks for AI quality and safety
 </li>
 </ul>
 
 
 
 
 
 Required qualifications
 
 
 
 Strong foundation in:
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Deep Learning
 </li>
 <li>
 Model evaluation techniques
 </li>
 <li>
 Data preprocessing &amp; feature engineering
 </li>
 </ul>
 
 Experience with:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 PyTorch or TensorFlow
 </li>
 <li>
 Hugging Face ecosystem
 </li>
 <li>
 LLM APIs and open-source models
 </li>
 <li>
 Experience deploying models to production
 </li>
 </ul>
 
 Understanding of:
 
 <ul>
 <li>
 Model fine-tuning (LoRA, PEFT, etc.)
 </li>
 <li>
 Embeddings &amp; vector databases
 </li>
 <li>
 Prompt engineering
 </li>
 <li>
 RAG architectures
 </li>
 <li>
 Comfortable working with cloud platforms
 </li>
 </ul>
 
 Nice to have:
 
 <ul>
 <li>
 Background in NLP or conversational AI
 </li>
 <li>
 Experience in building muti-agent-based AI systems
 </li>
 <li>
 
 Deep contextual understanding of Arabic language and Islamic principles.
 
 </li>
 </ul>
 
 Background:
 
 <ul>
 <li>
 More than 5 years of professional development (most of which should be AI focused)
 </li>
 </ul>
 
 
 
 
 
 Company Description
 
 
 
 Girmairi is teaming up with MyXara which is dedicated to
 
 supporting the personal and spiritual well-being of Muslims.
 
 We provide guidance and resources to help individuals navigate challenges related to stress, identity, and faith. Our mission is to ensure that no Muslim has to face their journey alone, and we aim to foster resilience and strength in our community. Whether it's overcoming daily hurdles or deepening one&rsquo;s connection with Iman, we strive to be a trusted partner.
 
 
 
 
 
 
 Girmairi and MyXara (both are USA based; learn more www.girmairi.com)
 
 
 
 
 
 
 
 What's in it for you &amp; how we work
 
 
 <ul>
 <li>
 This is a
 
 half-time/part-time position
 
 but for the right person we can make it a full-time.
 </li>
 <li>
 We are mostly
 
 remote
 
 team. Great place if you are solo-contributor.
 </li>
 <li>
 We are flexible on compensation (
 
 estimated full-time range: 40,000 EGP - 90,000 EGP
 
 
 depending on your skills and experience level
 
 ).
 </li>
 <li>
 
 Flexible schedule;
 
 we care more about quality and output than when and how you do the work (we do have team meetings every other day and as necessary - usually EST time early/late evenings)
 </li>
 </ul>
 
 
 
 
 
 Interview process
 
 
 
 
 Step one:
 
 group call with the team. We will go over your experience and what you have been working on. This is the time to showcase all the cool stuff you are building/experimenting with.
 
 
 
 Step two:
 
 a take home exercise (ideally should be able to complete within 2-4 hrs.
 
 
 
 Step three:
 
 final interview reviewing the take home exercise and group discussion.
 
 
 
 
</div>

Lead AI / ML Engineer

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Personalization and Recommendation Engines. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it.
 </li>
 <li>
 We aim for this role to focus on Personalization and Recommendation Engines capabilities
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML modelsVisualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructure
 </li>
 <li>
 Monitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Computer Science, Software Engineering
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 3 years of industry experience
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Prior experience with Personalisation and Evaluation related problems and/or modelling techniques
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with Delivery, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 
 
 
 </li>
 </ul>
 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>

Data Scientist (Personalization)

Radio Holland

<div>
 
 
 Who are we?
 
 
 
 Radio Holland is the first choice for NavCom solutions in the maritime industry worldwide. We provide innovative solutions for all electronic functions on board by delivering, installing, and integrating advanced equipment. With a global network of branches and agents, we ensure fast and efficient service along major shipping routes. We strive for a high level of service and a long-term relationship with our customers and focus on innovative and sustainable technologies to improve efficiency and safety on ships. Always there. Everywhere.
 
 
 
 
 
 
 These are your tasks and responsibilities.
 
 
 
 As a Service Engineer, you will be a crucial part of our Deepsea Department, dedicated to maintaining the flawless operation of maritime communication and navigation systems. Your responsibilities will encompass executing service tasks aboard vessels, meticulously maintaining equipment, and unwaveringly upholding our standards of excellence, safety, and customer satisfaction.
 
 
 Your scope of your work is local, and your base will be situated in Alexandria (Egypt).
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Execute service jobs efficiently as directed by the service coordinator/scheduler.
 </li>
 <li>
 Prepare comprehensive service reports according to Radio Holland standards.
 </li>
 <li>
 Update the service coordinator on VSO status after job completion.
 </li>
 <li>
 Ensure accurate documentation of services provided and materials used, and correct use of FSA before leaving the vessel.
 </li>
 <li>
 Adhere strictly to safety principles, policies, regulations, and standards.
 </li>
 <li>
 Stay up-to-date with technical bulletins, service/installation manuals, and technical information.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 This characterizes you:
 
 
 <ul>
 <li>
 Strong technical aptitude and troubleshooting skills.
 </li>
 <li>
 Excellent communication and interpersonal abilities.
 </li>
 <li>
 Ability to work both independently and within a team.
 </li>
 <li>
 Flexibility to travel and work in maritime environments.
 </li>
 </ul>
 
 
 
 
 
 This is what we ask of you:
 
 
 <ul>
 <li>
 Bs in engineering (electronics &amp; communication).
 </li>
 <li>
 Fresh Graduate.
 </li>
 <li>
 Fluent in English.
 </li>
 <li>
 Excellent Computer skills.
 </li>
 <li>
 Finished or exempted from Military Service.
 </li>
 <li>
 Alexandria Resident is a must.
 </li>
 </ul>
 
 
 
 
 
 What can you expect of us?
 
 
 
 When you join our team as a Service Engineer in Alexandria, you can expect:
 
 <ul>
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 Competitive salary and benefits package.
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 Opportunities for professional development and advancement.
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 Engaging and inclusive work environment.
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 Chance to work with cutting-edge maritime technology.
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 If you meet the qualifications and are looking for an exciting career opportunity, please send your CV to hr.amea@radioholland.com with the subject line
 
 "Service Engineer &ndash; Alexandria"
 
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Service Engineer

C&B Consultant

<h3>Position : Senior Civil Engineer - Alexandria</h3>A well Reputable consultant firm is looking for a Senior Civil Engineer - Alexandria ,Egypt  Responsibilities:<ul><li>Review architectural and civil drawings and identify list of materials.</li><li>describe the different types of materials used in construction projects.</li><li>Prepares and reviews architectural and civil specifications for projects.</li><li>prepare and analyze project costings for tenders, such as materials, quantities, labor and time.</li><li>Maintain material suppliers’ database</li><li>Assess tender documents to ensure sufficient information available to prepare tender</li><li>support in quantity surveying tasks, and prepare bill of quantities.</li></ul>Qualifications:<ul><li>Must Have Bachelor Degree in Civil Engineering.</li><li>3+ years of Experience</li><li>Strong Microsoft office suite skills (Excel, word and power point) required.</li><li>Capable of working with BIM, CAD and REVIT and understanding design drawings.</li><li>Have capability to analyze received data.</li><li>Have experience in preparing BOQ.</li><li>Capable of working under pressure</li></ul>

Civil Engineer

Explore 16+ Machine learning engineer in Alexandria this March. Find roles across top companies and apply now to boost your career.