AI Lead

Product Specialist

Data Engineer (Informatica)

Testing QA

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Java with Spark

Data Engineer / Senior / Supervisor

ServiceNow Consultant

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>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: <ul><li>Manage and maintain application-related components e.g. BDM, MFT Java, Unix scripts</li><li>Participate in business requirements gathering and work closely with BA, Tech, EA on delivery of minor enhancements</li><li>Create, maintain and review design documentations</li><li>Implement and manage change requests pertaining to application-related components e.g. S3, BDM, MFT</li><li>Work with other relevant teams as required e.g SCP, IOC, Production Control, Infrastructure, Security, Audit</li><li>Work with platform and application teams to manage and close incidents or issues, and implement changes</li><li>Document and update Standard Operating Procedures (SOP)</li><li>Manage and maintain batch job execution and troubleshooting</li></ul> Requirements: <ul><li>Bachelors degree in software engineering</li><li>At least 5 progressive years of Informatica technical experience with Enterprise Data Warehouse design and development using Informatica</li><li>Proficiency in Informatica BDM is mandatory</li><li>Experience in ETL, Data Ingestion, Investment Data transformation</li><li>Experience in DWH design and knowledge of its best practices</li><li>Proficiency in Postgres, Unix</li><li>Knowledge in data integration e.g MuleSoft, AWS S3, SFTP, Webservices</li><li>Knowledge in Workday, Simcorp, Markit EDM</li><li>Able to understand the business, technical requirements and convert them into design-and-build</li><li>Able to do performance tuning of Informatica BDM jobs</li><li>Able to present solutions to architects and get approval</li><li>Able to troubleshoot complex data issues and resolve them within Service Level Agreements (SLA)</li><li>Ability to partner with product vendors and implementation teams</li></ul> Preferred Requirements: <ul><li>Knowledge in Informatica MFT / Axway</li><li>Knowledge in integration tools</li><li>Knowledge in project management</li><li>Experience gained from banking and finance industry</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>

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.

Responsibilities:Lead and manage the development team, including assigning tasks and monitoring progressPart of Development team to analyse, design, and implement enterprise-wide Java based systemsHands on expertise in Microservices.Plan, analyse and define solutions through business, functional and technical expertiseWork with product managers on issues or questions related to system requirementsRespond to inquiries concerning application development and supportDevelop, program, and maintain applications using the Apache Spark open-source frameworkWork with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streamingRequirements:At least a bachelor’s degree in computer engineering, or a relevant fieldMinimum 10 years of hands-on experience in Spark, Microservices and latest Java versionMinimum 6 years of experience in cloud computing and architectureExperience with major cloud platforms e.g. AWS, Azure, GCP etc.Experience with containerization technologies e.g. Ec2, Docket, KubernetesExperience using Spark framework and streaming data platformsExperience in hands-on programming skills in Java and Hadoop ecosystemKnowledge in relational databases i.e. SQL and ORM technologies e.g. JPA2, HibernateKnowledge in database design and data normalisationKnowledge of DevOps methodologies and toolsKnowledge of Oracle / PostgreSQLKnowledge of relational databases, SQL and ORM technologies i.e. JPA2, Hibernate and database design and data normalizationPreferred Requirements:Knowledge and hands-on experience in Hadoop concepts like Hadoop Common, HDFS, Hadoop Yarn, Hadoop MapReduce and data processing techniquesPrevious work experiences as a Java, Spring boot Technical Lead or similar rolesStrong experience with Java and Spring boot frameworks like MVC, REST backend applications

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:Strong functional knowledge and implementation experience of ITSM , ITOM (CMDB, Discovery, Event management),ITAM, GRC modules.Design, develop, and implement custom ServiceNow applications and solutions.Develop and configure ServiceNow modules such as Incident, Problem, Change, Service Catalog, Knowledge Management, and CMDB.Create and manage workflows, UI policies, business rules, UI actions, and client scripts.Integrate ServiceNow with external systems via APIs, web services, and other technologies.Perform day-to-day administration of the ServiceNow platform, including upgrades, patching, and system maintenance.Troubleshoot and resolve issues related to the ServiceNow platform.Work closely with business stakeholders to gather and analyze requirements.Collaborate with cross-functional teams to ensure seamless integration of ServiceNow with other enterprise systems.Implement ServiceNow best practices for development and administration.Maintain comprehensive documentation for system configurations, processes, and procedures.Requirements: Bachelor’s Degree in Computer Science, Information Technology or related field.8+ years of experience in ServiceNow development and administration.Strong functional knowledge and implementation experience of ITSM , ITOM (CMDB, Discovery, Event management),ITAM, GRC modules is mandatoryStrong communication and interpersonal skills.Experience with Java Script, Flow Designer, Orderguide.

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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23 java Jobs found

AI Lead

Product Specialist

Data Engineer (Informatica)

Testing QA

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Java with Spark

Data Engineer / Senior / Supervisor

ServiceNow Consultant

Principal Architect IAM

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23 java Jobs found

AI Lead

Product Specialist

Data Engineer (Informatica)

Testing QA

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Java with Spark

Data Engineer / Senior / Supervisor

ServiceNow Consultant

Principal Architect IAM

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

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TALENT

COMPANY

Contact Us

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