client systems technician

MicroTech

<div>
 
 Overview
 
 
 
 MicroTech is seeking a Client Systems Technician in support of the Combined Air Operations Center (CAOC) at Al Udeid AB, Qatar. The CAOC team provides operations and maintenance support to the infrastructure, operations center, and enterprise. Support spans the IT spectrum from end-to-end desktop solutions to the backend core services infrastructure to presentation, application, network, server, hardware, and storage virtualization technologies. The CAOC uses a complex assortment of systems with a mix of unique hardware and software applications and configurations.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Install equipment, connect peripherals
 </li>
 <li>
 Install, configure or delete client level software, modify software configuration, and perform basic configuration management functions
 </li>
 <li>
 Provide software application assistance for commonly used office automation applications purchased from standard Air Force support contracts.
 </li>
 <li>
 Support standard wireless office automation devices
 </li>
 <li>
 Perform initial client workstation diagnostics and troubleshooting of client workstations assigned to them
 </li>
 <li>
 Assist with installing, testing, and accepting new systems according to the terms of the purchase contract and instructions and implement client workstation software patches, security fixes, and service releases according to local instructions
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 DoDM 8140 IAT Level 2 certification or higher
 </li>
 <li>
 Associate&rsquo;s degree in computer science or related field or 2+ years of experience in Computer/IT Hardware Support
 </li>
 <li>
 Must have an active Secret clearance or above
 
 
 </li>
 </ul>
 
 General Information
 
 
 
 MicroTech is an award-winning Service-Disabled Veteran-Owned Small Business (SDVOSB) and experienced provider of information technology and communications. MicroTech offers a wide range of professional services focused on providing cutting-edge solutions with the customer at the forefront of every decision we make. Solving complex business challenges is our passion &mdash; we provide effective, practical solutions that can increase productivity, and decrease costs.
 
 
 MicroTech has developed a well-earned reputation for best-in-class services and solutions using a repeatedly proven ISO 9001:2015 Quality Management System (QMS), ISO 20000 IT service management certification, and ITIL&reg; management qualified business processes.
 
 
 
 Benefits
 
 
 
 We offer great pay, amazing benefits, and our company culture is strong. MicroTech is devoted to people development and providing high achievers opportunities to grow professionally. As an employee, you are surrounded by intelligent, driven colleagues and have the benefit of a culture that is focused on bringing out the best in everyone. Our benefits include:
 
 
 <ul>
 <li>
 Insurance (medical, dental vision)
 </li>
 <li>
 Paid Leave (15 days per year for those with less than three years of service, 20 days off for those with more than three years of service)
 </li>
 <li>
 401k Plan with Employer Matching Contribution
 </li>
 <li>
 10 Company-Paid Holidays
 </li>
 <li>
 Tuition Assistance
 </li>
 <li>
 Voluntary Benefit Programs
 </li>
 <li>
 Corporate Discounts
 
 
 </li>
 </ul>
 MicroTech is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classes.
</div>

Client Systems Technician

Uniqus Consultech Inc.

<div>
 We are seeking a dynamic and accomplished professional to join our
 
 Accounting &amp; Reporting Consulting (ARC)
 
 practice in Qatar at the
 
 Associate Director
 
 level. The role involves leading and growing the ARC practice by driving strategic client engagements, managing large and complex projects, and developing high-performing teams. The ideal candidate will have deep technical accounting expertise, strong leadership capabilities, and a proven track record in managing senior client relationships.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead multiple complex engagements across accounting advisory, financial reporting transformation, and technical accounting.
 </li>
 <li>
 Provide expert guidance on IFRS, IPSAS, and transaction accounting including business combinations, consolidations, and other complex accounting matters.
 </li>
 <li>
 Drive strategic initiatives related to finance transformation, accounting process optimization, and systems implementation support.
 </li>
 <li>
 Build and maintain strong client relationships with CFOs, Finance Directors, and key stakeholders.
 </li>
 <li>
 Manage engagement economics, profitability, and project delivery excellence across multiple teams.
 </li>
 <li>
 Play a key role in business development by identifying opportunities, preparing proposals, and leading client discussions.
 </li>
 <li>
 Contribute to thought leadership, white papers, and technical publications.
 </li>
 <li>
 Mentor and coach Managers and Assistant Managers, fostering a high-performance culture and supporting career growth.
 </li>
 <li>
 Collaborate with leadership to grow the ARC practice footprint in Qatar and the wider Middle East.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Professional Qualification: CA, CPA, ACCA, or equivalent.
 </li>
 <li>
 Experience: 12&ndash;15 years of relevant experience in accounting advisory, financial reporting, or audit, with substantial experience in a consulting or Big 4 environment.
 </li>
 <li>
 Strong technical expertise in IFRS, IPSAS, and complex accounting transactions.
 </li>
 <li>
 Proven experience in leading large-scale client engagements and managing senior stakeholders.
 </li>
 <li>
 Strong business acumen with the ability to identify and convert new business opportunities.
 </li>
 <li>
 Excellent communication, leadership, and client relationship management skills.
 </li>
 <li>
 Regional experience in the Middle East preferred; willingness to be based in Qatar.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to lead high-impact engagements with top-tier clients across the region.
 </li>
 <li>
 A collaborative environment that encourages innovation and leadership.
 </li>
 <li>
 Strong platform for professional and career growth within the firm.
 </li>
 <li>
 Competitive compensation and benefits aligned with senior leadership roles.
 </li>
 </ul>
</div>

Associate Director

OESC (Oneida ESC Group)

<div>
 
 LG2 Environmental Solutions (LG2)
 
 provides a wide range of quality, responsive environmental services across the United States. Their capabilities include archaeological and cultural resource assessments (terrestrial and underwater), natural resource assessment, and management.
 
 
 LG2 is seeking an on-call
 
 Archaeological Field Technician
 
 to join our team. This hourly position offers competitive pay based on your CRM experience in North America.
 
 
 <ul>
 <li>
 Location: Area Surrounding Ouachita Forest in Arkansas
 </li>
 <li>
 Schedule: 30 working days (10 days on, 4 days off)
 </li>
 <li>
 Start Date: Mid-November
 </li>
 <li>
 Per Diem and Lodging provided
 
 
 </li>
 </ul>
 
 Important Note:
 
 This position is subject to a drug and alcohol testing policy.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Participate in various phases of fieldwork, including Phase I, II, III, site reconnaissance, and archaeological monitoring.
 </li>
 <li>
 Apply knowledge of federal and state laws, regulations, and policies regarding the preservation and management of historic and cultural resources.
 </li>
 <li>
 Utilize Munsell color charts and understand soil texture descriptions.
 </li>
 <li>
 Follow basic archaeological field and laboratory procedures.
 </li>
 <li>
 Navigate using a compass and accurately pace distances in meters.
 </li>
 <li>
 Maintain detailed and accurate field documentation, including field notes, shovel test forms, maps, site forms, artifact bags, and tags.
 </li>
 <li>
 Conduct daily quality control of field data to ensure accuracy and completeness.
 
 
 </li>
 </ul>
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Archaeology, Anthropology, or a related field.
 </li>
 <li>
 Ability to perform physically demanding tasks in diverse terrains and environments.
 </li>
 <li>
 Strong verbal and written communication skills.
 </li>
 <li>
 Valid driver&rsquo;s license and reliable transportation.
 </li>
 <li>
 Potential to obtain a government security clearance if required for specific projects.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 SOI Qualified OR 5+ Year Experience
 </li>
 <li>
 Completion of an accredited field school or relevant volunteer experience in archaeological investigations; additional CRM experience is a plus.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 The Oneida ESC Group
 
 is a family of companies owned by the Oneida Nation of Wisconsin that delivers customer-focused engineering, science, and construction services worldwide.
 
 
 
 Our Family Of Companies Includes
 
 
 
 <ul>
 <li>
 Oneida ESC Group (OESC)
 </li>
 <li>
 Oneida Engineering Solutions (OES)
 </li>
 <li>
 Oneida Total Integrated Enterprises (OTIE)
 </li>
 <li>
 Mission Support Services (MS2)
 </li>
 <li>
 Sustainment &amp; Restoration Services (SRS)
 </li>
 <li>
 General Mechanical Corporation (GMC)
 </li>
 <li>
 Oneida Professional Services (OPS)
 </li>
 <li>
 LG2 Environmental Solutions (LG2)
 </li>
 <li>
 Oneida Environmental (OE)
 
 
 </li>
 </ul>
 We integrate our staff for dedicated, cooperative, and business-like delivery of services to enhance our customers&rsquo; missions.
 
 
 
 Equal Employment Opportunity
 
 
 
 Oneida ESC Group is an equal opportunity employer committed to inclusion and diversity in the workplace. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws, national origin, disability, veteran status, or other legally protected characteristics.
 
 
 Oneida ESC Group participates in the E-Verify program. Learn more about the E-Verify program. https://www.e-verify.gov/
 
 
 Oneida ESC Group is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
 
 
 This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Oneida ESC Group makes hiring decisions based solely on qualifications, merit, and business needs at the time.
</div>

Archaeological Field Technician - Arkansas

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 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)

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world.
 
 
 
 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.
 </li>
 <li>
 Build, administer and scale ML processing pipelines.
 </li>
 <li>
 Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
 </li>
 <li>
 Should be able to understand internals of ML models such as 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 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
 </li>
 <li>
 8+ years of experience in software engineering with a minimum of 4+ years in ML
 </li>
 <li>
 Good experience in Pyspark
 </li>
 <li>
 Expert level understanding of Python with design patterns and object-oriented programming.
 </li>
 <li>
 Experience debugging and reasoning about production issues is desirable.
 </li>
 <li>
 A good understanding of data architecture principles preferred.
 </li>
 <li>
 Any other experience with Big Data technologies / tools
 </li>
 <li>
 SQL experience
 </li>
 <li>
 Analytical problem-solving capabilities &amp; experience.
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 <li>
 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
 </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>
 </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 #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #budapest #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #osaka #malta #amsterdam #oslo #warsaw #krakow #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 #bangalore #delhi #hyderabad #pune #singapore #beijing #shanghai #shenzhen #tokyo #seoul #hongkong #taipei #kualalumpur #jakarta #hochiminh #hochiminhcity #manila #instanbul #makati #dubai #riyadh #gurgaon #noida
 
 
 
 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>

Staff Machine Learning Engineer (India based, relocation provided)

MAMAS CHICKEN

<ul><li>Transporting Goods/Passengers: Safely drive clients or deliver packages to designated locations, ensuring timely arrival.</li><li>Vehicle Maintenance: Perform regular checks on the vehicle, report any issues, and ensure it is clean and well-maintained.</li><li>Route Planning: Utilize navigation systems to determine the most efficient routes, considering traffic and road conditions.</li><li>Customer Service: Provide excellent service to clients, including assisting with loading and unloading when necessary</li></ul>Job Type: Full-time

driver

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. 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 Data team plays at Agoda is critical as business users, product managers, engineers, 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 Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
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 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
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 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
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 Work with developers and a variety of business owners to deliver daily results with the best quality.
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 Research discover and harness new ideas that can make a difference
 
 
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 What You&rsquo;ll Need To Succeed
 
 
 
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 4+ years hands-on data science experience.
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 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
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 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
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 Can lead, work independently as well as play a key role in a team.
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 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
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 It&rsquo;s Great if You Have
 
 
 
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 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
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 Experience in NLP, image processing and/or recommendation systems
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 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
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 Experience in data science for e-commerce and/or OTA
 
 
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 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Discover More About Working At Agoda
 
 
 
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 Agoda Careers https://careersatagoda.com
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 Facebook https://www.facebook.com/agodacareers/
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 LinkedIn https://www.linkedin.com/company/agoda
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 YouTube https://www.youtube.com/agodalife
 
 
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 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.
 
 
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Lead Data Science (Bangkok based, Relocation provided)

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