Recruitment Sr Consultant/Consultant

Consultant/ Senior Consultant/ Principal Consultant Talent Acquisition

AI Lead

Product Specialist

Senior L&D Manager, Frontline (KSEA)

Customer Experience Manager

Full Stack Developer

Account Executive

Data Scientist - Entry

Data Scientist- AI Architect

About the company: <ul><li>We specialized in global talent research, insight, and pipelining with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India.</li><li>Our international reach has helped us to understand and penetrate niche markets at a global level.&nbsp;</li><li>In addition to this, our service is also extended to complement our client’s in-house research.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Manage the recruitment process end to end</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers</li><li>Verify job descriptions with the hiring manager and design interview questions that reflect the position’s requirements and attract talents to the company</li><li>Determining selection criteria for the open positions, in line with the organization’s-culture and strategy</li><li>Sourcing of potential candidates through different sourcing channels</li><li>Screening of potential candidates and planning interviews and assessments</li><li>Run regular updates to hiring managers</li><li>Engaging with Senior Stakeholders</li><li>Organize and lead feedback sessions and coordinate the hiring decision</li><li>Propose employment offers in line with the client guidelines</li><li>Ensure that the recruitment process is efficient, effective, and equitable</li><li>Foster long-term relationships with candidates</li></ul>&nbsp;Requirements: <ul><li>2 to 5 years of experience in Talent Acquisition/recruitment</li><li>Must hold English &amp; Mandarin language proficiency</li><li>Experience in hiring for IT and Non- IT positions</li><li>Able to perform as an individual contributor and be hands-on</li><li>Should have a recognized Master’s / Bachelor’s degree</li><li>Well versed in social media, resume databases and professional networks</li><li>Hands-on experience with full-cycle recruiting using interview techniques</li><li>Good interpersonal and influencing skills.</li><li>Has the ability to engage senior stakeholders</li><li>Growth mindset and learning agility</li><li>Has a strong passion and desire to make a difference</li></ul>

Responsibilities&nbsp; <ul><li>Manage the recruitment process end to end.</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers.</li><li>Verify job descriptions with the hiring manager and design interview questions that reflect the position’s requirements and attract talents to the company.</li><li>Determining selection criteria for the open positions, in line with the organization’s-culture and strategy.</li><li>Sourcing of potential candidates through different sourcing channels.</li><li>Screening of potential candidates and planning interviews and assessments.</li><li>Run regular updates to hiring managers.</li><li>Engaging with Senior Stakeholders&nbsp;.</li><li>Organize and lead feedback sessions and coordinate the hiring decision.</li><li>Propose employment offers in line with the client guidelines.</li><li>Ensure that the recruitment process is efficient, effective, and equitable.</li><li>Foster long-term relationships with candidates.</li></ul> Requirements&nbsp; <ul><li>6 to 15 years of experience in Talent Acquisition.&nbsp;</li><li>Must hold English &amp; Mandarin language proficiency.</li><li>Experience in hiring for IT and Non- IT positions&nbsp;.</li><li>Able to perform as an individual contributor and be hands-on.</li><li>Should have a recognized Master’s / Bachelor’s degree.</li><li>Well versed in social media, resume databases and professional networks.</li><li>Hands-on experience with full-cycle recruiting using interview techniques.</li><li>Good interpersonal and influencing skills.&nbsp;</li><li>Has the ability to engage senior stakeholders.</li><li>Growth mindset and learning agility.</li><li>Has a strong passion and desire to make a difference.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: Ownership:&nbsp; <ul><li>Collaborate with business and P&amp;C leaders to set up and execute global learning and development processes (assess competence development needs, create learning methods and solutions, develop training centre and trainers, deliver, and manage training) to meet company’s short- and long-term competence goals for the business&nbsp;</li><li>Help to set global/local priorities and budget for competence development based on the company strategy and business goals, work with P&amp;C, business, and L&amp;D network to make global/local plans for competence development. Help business to define business impact and learning outcomes for competence development programs.&nbsp;</li><li>Provides consultation for P&amp;C, managers, and employees with questions about learning and development, and advise on the different learning and development approaches for business outcome and support.&nbsp;</li><li>Owns the annual Frontline Training Plans and contributes to One P&amp;C team, executes L&amp;D plans with impact together with P&amp;C community.&nbsp;</li><li>Drives local business agenda with L&amp;D expertise, challenges and concludes L&amp;D deliveries that improve business results.&nbsp;</li><li>Works closely with Cluster/FL business leaders and P&amp;C colleagues to drive L&amp;D agenda as well as consult on development. Provides L&amp;D services and delivers selected trainings for the cluster/FL.&nbsp;</li><li>Governs and consults on learning needs by broadening stakeholders’ views on what gets solved with training and what is something else.&nbsp;</li><li>Leads P&amp;C Services training coordinators for the cluster/FL to optimal efficiency and value.&nbsp;</li><li>Focuses on field training discipline, data accuracy and KPIs transparency including improvement suggestions.&nbsp;</li><li>Develops learning assets e.g., Training Centres towards full utilization &amp; impact&nbsp;</li><li>Ensures relevant learning offering and L&amp;D operational excellence across cluster/FL in sync with Area and Global L&amp;D direction.&nbsp;</li><li>Responsible for development and performance management of the L&amp;D team in the Front line.&nbsp;</li></ul> Contribute:&nbsp; <ul><li>Communicates continuously L&amp;D value, services, and operating model to all relevant cluster/FL stakeholders&nbsp;</li><li>Facilitates and promotes learner centric learning culture. Acts as a project manager for certain learning projects such as induction renewal.&nbsp;</li><li>Impacts Area and global L&amp;D by explicitly articulating cluster/FL learning needs and offering feedback.</li></ul> People leader, network management: <ul><li>Lead cluster/FL L&amp;D teams’ engagement and recognition for business relevance and learning impact with transparency and data.&nbsp;</li><li>Leads and manages internal trainer networks across the cluster/FL.&nbsp;</li></ul> Level of decision making:&nbsp; <ul><li>Responsible for L&amp;D KPIs and business metrics for cluster/FL level for non-technical and technical competence development&nbsp;</li><li>Contribute to big picture as member of Area L&amp;D Leadership Team&nbsp;</li><li>CoE Budgeting for cluster/FL (OPEX and Capex)&nbsp;</li></ul> Performance metrics:&nbsp; <ul><li>Priority learning solutions management/adoption % for cluster/FL&nbsp;</li><li>Mandatory field certifications for safety and methods in place &amp; valid for all field operatives in cluster/FL&nbsp;</li><li>External spend on training vendors &amp; venues in cluster/FL&nbsp;</li><li>Field Trainer utilization, TC utilization, learning solution reach, and NPS in cluster/FL&nbsp;</li><li>Workday Learning data quality (Learning management system) LMS&nbsp;</li><li>Global learning offering utilization vs. local offering quantity in cluster/FL&nbsp;</li><li>Internal trainer pools strength and retention in cluster/FL&nbsp;</li><li>P&amp;C Services / training coordination satisfaction for cluster/FL</li></ul> Requirements: <ul><li>Master’s degree in human resources, education, or related field&nbsp;</li><li>10+ years of experience in learning and development, including designing, implementing, and evaluating training programs, preferably in multinational company.&nbsp;</li><li>Experienced in managing learning needs and priorities through business partnering and data analysis.&nbsp;</li><li>Good leadership and influencing skills.&nbsp;</li><li>Proven experience in managing and leading a team of learning professionals.&nbsp;</li><li>Proven facilitation and team coaching skills&nbsp;</li><li>Excellent business communication and interpersonal skills with the ability to interact effectively with stakeholders &amp; employees at all levels of the organization.&nbsp;</li><li>Ability to identify competence development needs and translate the needs into competence development plans for various functions and units.&nbsp;</li><li>Experience and ability to facilitate workshops / planning meetings with various stakeholders.&nbsp;</li><li>Ability to plan and manage initiatives effectively&nbsp;</li></ul>

Responsibilities: <ul><li>Responsible for setting the strategy and operating a world class Command Center for our customers experience across all digital channels.</li><li>Manage a team of initially 4 operations specialists.\</li><li>Developing and implementing strategies to improve customer interactions across multiple touchpoints and channels</li><li>Analyzing customer feedback, surveys, and data to identify customer pain points and different ways to improve the customer journey and create a positive experience</li><li>Collaborating with cross-functional teams, such as marketing, sales, product development, and the customer service team, to align customer experience efforts with business goals and objectives</li><li>Designing and implementing customer service standards and guidelines to ensure consistent and exceptional service delivery for building customer relations</li><li>Training and educating staff on customer-centric approaches and best practices to foster a customer-focused culture throughout the organization</li><li>Monitoring and measuring key performance indicators (KPIs) related to customer satisfaction, retention, and loyalty, providing regular reports and insights to senior management and stakeholders</li></ul> Requirements: <ul><li>Experience in working for large organizations and handling complex projects</li><li>For measuring the performance and satisfaction of our customers and users, using various tools and methods such as surveys, feedback, analytics, and social media and configure the experience tracking toolset</li><li>A minimum of a Bachelor’s degree in business administration, marketing, business management, communications, or a related field is beneficial but not required (a Master’s degree is preferred)</li><li>Certifications in customer experience management, such as Certified Customer Experience Professional (CCXP), are advantageous to show a commitment to the field and continuous learning</li></ul>

Responsibilities:Ensure Development Efforts related to integrations are tested (Primitive/Sanity tests)Ensure adequate Unit testing is conducted i.e. xUnit / nUnitEnsure codes are to meet quality standards i.e. Resharper, Sonarcube, solution meets passive criteria of user stories, solution meets passing criteria of user stories and that solution meets blueprintCollaborate with relevant stakeholders i.e. Architect and Business Analyst and Peers to ensure that a robust and elegant solution is of design standardsBuild web-based applications based on Microservices architecture in .Net core and C#Perform API debugging, logging and database query optimisationHave an eye for new technologies and be open to self-improving on existing methodsRequirements:Bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices with minimally 4 years in data engineeringProficient in SQL and NoSQLExperience in .NET technologies including .NET Core, Entity Framework, Web API, React, JavascriptExperience in building web-based applications based on microservices architecture in .Net Core and C#Experience in containerisation frameworks e.g. Docker, KubernetesUnderstanding of Microservice Architecture (MSA) and design patterns to build highly scalable modulesUnderstanding of authentication frameworks and data communication protocols like webSocketsUnderstanding of CI/CD environments or pipelinesProven ability to show work responsibility, excellent organisational, communication and interpersonal skillsProven analytical and problem-solving skills with the ability to work in an unstructured, fast-paced environmentAmbitious about learning and self-improvement particularly to acquire new technologiesPreferred Requirements:Experience in Mongo, Redis, RedisSearch, MsSQL

Role Description: Your role is to develop and manage a portfolio of assigned clients (B2B) within a specific geographical area in this sales role.As an Account Executive, you will not only have sales targets to achieve but a book of business to support so organizational skills need to be at an exceptional level.Responsibilities:Prospect and develop new potential client relationships to gain new business.Analyze customer needs and present our partners solutions/services.Prepare bids/Customized pricing.Retain and grow existing customer portfolio.Collaborate strongly with other internal stakeholders/functions to support driving results.Requirements:Strong Communication skillsTarget drivenOrganizational skillsAgility & ResilienceWhat You’ll Get:You will receive a competitive basic salary.A company pension scheme, holiday pay, discounts at major retailers (e.g. Apple, cinemas) and attractions (e.g. Alton Towers, The London Eye) and many more benefitsIndustry-leading trainingPromotion from within policyPrivate healthcare (AXA) for employee. Additional family cover can be arranged at a costLife AssuranceEmployee Assistance ProgramPackage & Benefits:Working in an international working environment with many career opportunities.Thanks to our 'promote-from-within' culture, you will always find new, challenging opportunities at different job levelsOngoing learning and development opportunities.

Role Description:The Data Scientist role will work in a team environment to deliver business solutions.This will involve engaging with clients, internal onsite experts, and contract resources to develop and support IT solutions.Responsibilities: Works on clearly defined projects involving a limited amount of complexity, with regular review of output.Applies basic knowledge of established systems software development principles and best practices to independently resolve problems and make minor changes to existing processes/systems.Good to have sound knowledge on Generative AI , machine learning concepts and principles.Knowledge of advanced predictive analytics using tools like Python or R.Knowledge of Frameworks such as Scikit-learn , Numpy, Pandas, Beautifulsoup, Matplotlib, Dash.Experience working with visualization tools like Power BI and Tableau.Strong written, verbal and interpersonal communication skills.Ability to work in teams and good team player.Requirements:0.6 -2 Years of Experience.Education: B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization, MCA.Should have attended a Data Science Bootcamp / Course / Internship.

Responsibilities: As part of the Data Science organization at our client, the Generative AI team is working on digital transformation.We are developing enterprise solutions for Commercial, Technology and Operations functions. As an AI Engineer you will lead the design, development and adoption of new technology and analytics, help contribute to our AI strategy, and partner with leaders across the company.The role will involve collaborating with cross-functional teams to ensure the successful creation and roll-out of AI driven solutions.Role Type : Individual Contributor As AI Engineers you will perform work including: Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support AI applicationsPerform statistical analysis and data manipulation using language models.Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.Architect and design innovative AI solutions tailored to business requirements.Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.Communicate complex technical concepts and results to non-technical audiences effectively.Contribute to the development of AI strategies and governance for the organization.Stay current with advancements in AI and machine learning technologies and apply them to solve business challenges.Lead efforts to improve enterprise adoption and proficiency in the use of AI tools Requirements:10+ years of experience in data science, AI, or a related field preferred.Proficiency in software development and statistical analysis.Experience with Large Language Models and their applications.Strong communication skills and the ability to present technical results to business stakeholders.Experience with solution architecting and design preferred.Hands-on experience with cloud platforms such as Azure and/or AWS.Proficiency in programming languages such as Python, R, or similar.Strong problem-solving skills and the ability to work independently as well as part of a team.Bachelor's in Computer Science, Mathematics, Statistics, or a similar field. Master's or Ph.D. preferred.Preferred Qualifications: Experience with large language models and supporting workflows.History of project leadership and development.Familiarity with Agile development.Experience in applications related to sales, marketing, and market research a plus. 

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66 machine learning scientist Jobs found

Recruitment Sr Consultant/Consultant

Consultant/ Senior Consultant/ Principal Consultant Talent Acquisition

AI Lead

Product Specialist

Senior L&D Manager, Frontline (KSEA)

Customer Experience Manager

Full Stack Developer

Account Executive

Data Scientist - Entry

Data Scientist- AI Architect

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66 machine learning scientist Jobs found

Recruitment Sr Consultant/Consultant

Consultant/ Senior Consultant/ Principal Consultant Talent Acquisition

AI Lead

Product Specialist

Senior L&D Manager, Frontline (KSEA)

Customer Experience Manager

Full Stack Developer

Account Executive

Data Scientist - Entry

Data Scientist- AI Architect

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.