AI Lead

Digital Architect

Testing QA

Technical Product Owner

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer / Senior / Supervisor

Junior Counsel

Data Scientist- AI Architect

Principal Architect IAM

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>Tactical problem solving and strategic planning of the Digital infrastructure through platform technology roadmaps</li><li>You may be asked to lead or manage a small team of infrastructure architects</li><li>Clear problem and requirement identification ties to business case/value definition</li><li>Design, construct, test and implement process and technology services and systems while adhering to established standards and architecture via leading established methodologies including Agile and Waterfall</li><li>Ensure appropriate documentation is developed in support of value realization</li><li>Plans tasks and estimates the required research and volume of activities to complete work</li><li>Researches issues, develops recommendations and actively participates on project teams to develop solutions to business problems related to a broad range of business and product issues</li><li>Responsible for creating and reviewing Application Architecture for Digital Applications and provide technical leadership in the evaluation of Digital solutions to satisfy business and technical requirements</li><li>Support Solution Architects in development of solution architectures that touches Digital solutions including evaluation, selection and integration of necessary technical components</li><li>Collaborate with Delivery Manager and is able to oversee the entire project life cycle</li></ul> Requirements: <ul><li>Qualifications for a job description may include education, certification, and experience.</li><li>List any licenses or certifications required by the position: TOGAF, ITIL, CPE, AWS, ACE, MCSE, ECM, AIIM, SSL, GCP</li><li>Typically a job would require a certain level of education.</li><li>Employers hiring for the digital architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelors and Masters Degree in Computer Science, Engineering, Technical, Information Technology, Education, Business, Technology, Information Systems, Software Engineering, Mathematics</li></ul>

The Role: <ul><li>Responsible for testing applications to meet business process and application requirements. Your typical day will involve working on functional test planning and ensuring the quality of the application.</li></ul> Responsibilities: <ul><li>Develop and execute functional test plans for applications to ensure the quality of the application.</li><li>Collaborate with cross-functional teams to test applications to meet business process and application requirements.</li><li>Identify and troubleshoot application issues, working with the development team to resolve them.</li><li>Ensure the application meets the required standards.</li></ul> Requirements: <ul><li>Min 3 years of Experience in functional test planning.</li><li>Experience in software development and programming languages such as Java or Python</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Experience with Azure DevOps tool for managing tests and bugs.</li></ul>

The Role:Our Product team is seeking a Technical Product Owner with a passion for innovation and a dedication to delivering high-quality, differentiated data solutions within our clients integrated risk platform. At the core of our client's mission is the commitment to building a productive, safe, and sustainable world through innovative products and services. By seamlessly integrating domain expertise, data, and design, we tackle our customers' most pressing challenges, delivering solutions that make a difference every day.Are you driven to address complex analytics challenges in risk and compliance? Are you eager to collaborate with leading domain experts to overcome the data obstacles our customers encounter as they strive to decarbonize their operations? Are you passionate about developing actionable insights that enhance workplace safety?Responsibilities:You will collaborate closely with the Product Manager to lead the strategic development of the data platform roadmap, ensuring it is fully aligned with the company's overarching objectives.Cultivate strong partnerships with stakeholders across multidisciplinary engineering teams and departments, gathering critical requirements and designing innovative solutions.Utilize your deep expertise in data engineering to align technical capabilities seamlessly with business objectives.Take full ownership of the backlog for the data platform, prioritizing and managing it to ensure that all deliverables are strategically aligned and executed effectively.Develop detailed user stories and facilitate backlog refinement sessions to guarantee clear communication and alignment within the team.Maintain a strong grasp of emerging technology trends and developments, offering informed recommendations to elevate the platform's technical capabilities.Champion an agile mindset that extends beyond traditional frameworks, fostering an environment where engineering and product teams are empowered and operate autonomously.Leverage your experience within technical organizations to make strategic decisions regarding build-versus-buy scenarios.Contribute to the maintenance of comprehensive product and technical documentation, ensuring clarity and accessibility for both internal and external stakeholders.Requirements:University degree in Computer Science, Mathematics, Physics, or a related area Deep interest in Product Management, ideally with at least 2+ year experience working as a Technical Product Manager and/or Product Owner. Data engineering background with at least 3+ years working as a Software Engineer and/or Data EngineerExcellent communication skills, with the ability to understand stakeholder requirements clearly and translate this to the technical teams. Ideally, experience working with Azure Services and big data frameworks/tools.Solid understanding of how to build a modern and scalable big data systems.Has user-centric design mindset.Is comfortable working in an agile environment.Strong interpersonal and communication skills.Adaptable to an ever-changing development environment.Strong work ethic & high degree of integrity.

Responsibilities:Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.Integrate new AI services across the platform and Aladdin application ecosystem. Refine business and functional requirements and translate them into scalable technical designs.Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.Apply quality software engineering practices throughout the software development lifecycle.Optimize the software delivery and workflow of the team. Work with team members in a multi-office, multi-country environment.Requirements:B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.Proficiency and hands-on experience in object-oriented programming with Java and Python.Proficiency in designing and building scalable APIs and Microservices.Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.Ability to reverse engineering existing applications.Grit in the face of technical obstacles Experience working in Agile development teams with excellent collaboration skills.

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

Responsibilities: <ul><li>This role supports the Legal &amp; Privacy Head’s daily functions and is a strong ambassador to the trusted ‘gate-keeper’ objectives across sales, marketing, operations, purchasing and other business stakeholders.&nbsp;</li><li>The activities include handling the day-to-day legal team administration linked to business needs.</li><li>Co-ordinate the roll-out of legal / compliance training across all regional hub offices with key focus across commercial, purchasing, and regulatory forms related to the distribution of consumer goods globally in Chinese and English.&nbsp;</li><li>Knowledge of the travel retail distribution channel an advantage.</li><li>Multi-task and be organised across various delegations, ‘ad-hoc’ administrative tasks and assignments.</li><li>Take part in developing internal control initiatives whilst anticipating legal and reputational risks, actively listening, reviewing, and drafting forms, as required.</li><li>Develop and roll-out contract life cycle processes with company stakeholders to finalise forms externally.&nbsp;</li><li>Constructively challenging the status-quo and breaking barriers for effective ‘ways-of-working’.</li><li>Facilitate various projects through the co-ordination, drafting forms and checking thoroughly the processes for compliance.</li><li>Have attention to detail with a proven ability to optimise limited business resources, work collaboratively with different cultures and adapt to agile ways-of-working.</li></ul>&nbsp;Requirements: <ul><li>2 to 4 years of work experience with relevant university qualifications in Law.&nbsp;</li><li>Additional qualifications in business, political science, tax, compliance, languages and communications, will be highly regarded.</li><li>Mandarin Chinese (written + spoken, preferably) to assist in China Hub local form review and staff training.</li><li>Detail-oriented, self-starter and comfortable working independently (in a small team setting) with relevant private practice training and in-house work experience, having proven stakeholder management with a ‘can-do’ mindset.</li><li>Strong awareness and interest in the business of luxury and FMCG brands. Has an entrepreneurial mindset with curiosity across all aspects of B-2-B retail and the end-consumer journeys. Knowledge of the digital marketing and social platform space (i.e., AliPay, Douyin, WeChat, Weibo, Ctrip, etc.) is an advantage.</li><li>Displaying strong awareness over legal issues and curiosity on global consumer trends in the Asia-Pacific region (i.e., digital retail, data-privacy protections, competition, bribery/corruption, customs/trade, etc.).</li><li>Direct mentorship opportunities from daily business interactions across the organisation as well as continuous professional development offered on various topics (i.e., business, soft-skills, etc.)</li></ul>

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. 

Responsibilities: Engage with multiple teams of highly talented engineers and architects to design and develop highly scalable, secure and configurable identity solutions that meet the needs of our customers and stakeholders. Actively engage with leadership across Product, Architecture, Design and Engineering to design, propose, discuss and refine new features and functionality. Collaborate with other engineering teams, IT, and business stakeholders to understand requirements and deliver innovative identity solutions that meet organizational needs. Communicate with stakeholders on technical standards, principles, methodologies and trends. Enhance overall system operational characteristics by establishing best practices for code quality, reduction in tech debt, building frameworks or shared techniques to improve engineering effectiveness. Identify opportunities for refactoring, API changes, and other types of tech debt remediation. Influence management for driving technical decision-making for the right selection of technology by giving forthright, understandable, and actionable advice. Work with standards defining organizations to understand the evolving standards, identify gaps, provide inputs on platform gaps, contribute to roadmap planning to build world class CIAM platform. Drive decision-making with team members with different views for simple to complex problems with the business requirements to help synthesize the best solution. Requirements: You must have significant business knowledge and technical expertise in application design and architecture, as well as knowledge of related domains of technical architectures (network, security, and infrastructure engineering), information architectures, and data architectures. Expert in back-end development using Java EE technologies (e.g. Java language, application servers, servlet containers, JMS, JPA, Spring MVC, Hibernate). In-depth knowledge of identity management technologies, protocols, and standards, and competent in designing solutions for reliability, availability, scalability, and performance. In-depth knowledge of Identity standards such as OAuth 2.0, Open ID Connect, SCIM etc. Must be a self- starter, work independently or as a team member, and have strong communication skills in interfacing with business partners and the Technology. Strong OOP skills, with ability to analyze requirements and transform into scalable software designs. Experience with HTTP, REST API's and competent designing and building web services/microservices in a commercial setting. Knowledge of SQL and other/NoSQL/modern database and storage technologies. Desired understanding of Oracle, JDBC and ORM frameworks (e.g. Hibernate). Experience with Design Patterns, MVC and frameworks (e.g. Spring). Competent in software engineering tools (e.g. Java build tools) and best practices (e.g. unit testing, test automation, continuous integration, etc.). Serve as a strong advocate of code craftsmanship, good coding standards and use of tools that will improve the quality of the delivered code Experience with using Agile/Scrum methodology for software development Deep understanding of web services and SOA related standards like REST/OAuth/JSON and SOAP/WSDL. Extra credit: Provide your GitHub account or code samples with your resume! 

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40 agile sdlc Jobs found

AI Lead

Digital Architect

Testing QA

Technical Product Owner

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer / Senior / Supervisor

Junior Counsel

Data Scientist- AI Architect

Principal Architect IAM

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40 agile sdlc Jobs found

AI Lead

Digital Architect

Testing QA

Technical Product Owner

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer / Senior / Supervisor

Junior Counsel

Data Scientist- AI Architect

Principal Architect IAM

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

EMPLOYER

TALENT

COMPANY

Contact Us

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