AI Lead

Product Specialist

Data Engineer

Testing QA

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Java with Spark

Data Engineer / Senior / Supervisor

Data Scientist- AI Architect

Senior Staff Software Engineer iOS

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>Design and implement scalable data pipelines and data warehouse solutions using Informatica PowerCenter.</li><li>Develop ETL processes to ingest data from various sources into the data warehouse.</li><li>Optimize and tune SQL queries for performance improvements.</li><li>Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver solutions.</li><li>Ability to understand and integrate data sources based on different technologies like Streaming Data, Change Data Capture, APIs , Message Queues, Semi-structured(JSON,XML) and unstructured data.</li><li>Analyze raw data to determine optimal solutions for data processing and ingestions</li><li>Implement data quality and validation processes to ensure high data integrity and reliability.</li><li>Monitor and troubleshoot data pipeline issues and implement solutions in a timely manner.</li><li>Document technical designs, data mappings, and configuration management processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>3-4 years of hands-on experience in data engineering roles.</li><li>Proficiency in Informatica Informatica IICS (ECDI, CDI CAI, Mass Ingestion etc) for designing and developing ETL workflows.</li><li>Strong SQL programming skills with experience in optimizing queries and database performance.</li><li>Experience working with large-scale data warehousing and data modeling concepts.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.</li><li>Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>Strong communication skills and ability to collaborate effectively across teams.</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: 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. 

Job Description:What you need to know about the role:As a iOS Engineer on our Consumer Credit Mobile team, you will be building and enhancing the Buy Now Pay Later or Credit Card products. You will leverage your technical expertise to build solutions that empower our customers to effortlessly access and manage credit accounts. You will build out scalable solutions, seamless experiences in partnership with other consumer credit engineering, product and UED teams.Meet our TeamJoining the Consumer Credit experience engineering team, you will get to showcase your work every day in the real world. With rapid success in the market, we are working both on consistently releasing new and improved features grounded in data-driven decisions as well as improving and iterating on current processes. The Consumer Credit team builds and maintains the product suite of Buy Now Pay Later and Credit Card products offerings for customers. Credit Card Mobile team develops and manages the end-to-end mobile experiences around Company's revolving consumer credit products in the United States and foreign markets.Your way to impact: You will build and contribute to high-performing systems in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the meaningful challenges we get to tackle here. Responsibilities:Develop and maintain high performing, reusable Swift code and stay current with the newest mobile technologies. Provide and receive feedback on code through pull requests and regular reviews of processes. Work with product owners to crystallize the technical needs during grooming and planning meetings. You will also work with engineering managers, engineers, and partner teams to develop innovative solutions. Define and develop processes, tools and methodologies to achieve excellence in software development, testing, and deployment, follow coding standards and guidelines with attention to performance, scalability, and availability.  Requirements:At least 5+ years of iOS development experience with Swift programming skills. Understanding of mobile UI design principles, patterns, and best practices. Experience building iOS applications connected to APIs – RESTful and GraphQL. Practical knowledge of iOS architecture. Experience with a version control system and the processes that come with committing, reviewing, and merging code across a team. Basic Qualifications: A solid grounding in Computer Science & UI Design fundamentals. 2-3 years of experience building successful production software systems 

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40 abap programming Jobs found

AI Lead

Product Specialist

Data Engineer

Testing QA

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Java with Spark

Data Engineer / Senior / Supervisor

Data Scientist- AI Architect

Senior Staff Software Engineer iOS

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Skills

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40 abap programming Jobs found

AI Lead

Product Specialist

Data Engineer

Testing QA

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Data Engineer Lead - Java with Spark

Data Engineer / Senior / Supervisor

Data Scientist- AI Architect

Senior Staff Software Engineer iOS

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

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TALENT

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Contact Us

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