Machine Learning Engineer Lead

Software Engineer – Ag & Trade

Senior Application Developer - ERP

ERP Application Developer

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Software Engineer - Boomi or BTP

Software Engineer

Senior Software Engineer

Associate Data Engineer

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: Software Development: <ul><li>Design, develop, test, and maintain scalable software applications using Java Spring Boot and JavaScript for backend and frontend development, respectively. Build clean, reusable, maintainable, and well-tested code following software engineering best practices.</li></ul> Full Stack Application Development: <ul><li>Develop end-to-end web and mobile applications using Java Spring Boot, React or React Native, backend APIs, database integrations, and modern UI frameworks to deliver intuitive user experiences.</li><li>Design and develop secure RESTful APIs, backend services, authentication mechanisms, and data access layers while ensuring application scalability and performance.</li></ul> AI Enable Engineering: <ul><li>Leverage AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, Amazon Q, or similar tools to improve engineering productivity.</li><li>Experience integrating LLM APIs or AI-powered capabilities into applications is desirable.</li></ul> Collabration: <ul><li>Collaborate with Product Managers, Business Analysts, UX Designers, QA Engineers, Architects, and cross-functional engineering teams to understand business requirements and deliver scalable software solutions.</li><li>Participate in sprint planning, technical discussions, estimation, backlog refinement, and Agile ceremonies.</li></ul> Testing &amp; Quality: <ul><li>Develop unit tests, integration tests, and participate in peer code reviews to ensure software quality, maintainability, reliability, and performance.</li><li>Follow secure coding standards and engineering best practices.</li></ul> Cloud &amp; Devops: <ul><li>Contribute to CI/CD pipelines and cloud-native application deployments using technologies such as Docker, Kubernetes, Azure, AWS, GitHub Actions, or Azure DevOps.</li></ul> Continous Improvement: <ul><li>Identify opportunities to improve software architecture, engineering standards, automation, developer productivity, and application performance.</li><li>Adopt AI-assisted engineering workflows and modern software development practices.</li></ul> Technical Support: <ul><li>Troubleshoot production issues, perform root cause analysis, and resolve application issues while ensuring minimal business disruption.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).</li><li>3–5 years of professional software development experience.</li><li>Minimum 3+ years of hands-on full-stack development experience.</li><li>Experience developing production-grade web or mobile applications (not academic or personal projects).</li><li>Strong proficiency in Java Spring Boot and JavaScript.</li><li>Experience developing applications using React or React Native.</li><li>Experience developing backend services using Node.js or equivalent backend technologies.</li><li>Strong understanding of REST API development.</li><li>Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or equivalent.</li><li>Strong knowledge of Git and modern software engineering practices.</li><li>Experience working in Agile/Scrum teams.</li><li>Strong understanding of object-oriented programming, software design principles, and data structures.</li></ul>

Responsibilities Key Accountabilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Builds and drives complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs and drives the design, configuration, testing, deployment, and support of changes and fixes, in accordance with established standards and practices.</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Plays a key role and keeps an open channel of communication with stakeholders and responds to support requests and needs.</li></ul> <ul><li>APPLICATION SUPPORT: Conducts and leads advanced and complex application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers, &amp; vendors in multi-functional global teams, to ensure solutions and configurations align with business requirements and best practices.</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets &amp; user requests and driving timely resolution.</li></ul> Requirements <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li></ul> <ul><li>ERP &amp; DOMAIN EXPERTISE: Solid hands‑on experience with enterprise‑scale applications (ERP preferred) in a techno‑functional capacity, demonstrating strong solution design and delivery capabilities. Deep knowledge of, and experience within, one or more ERP business domains (Order-to-Cash, Procure-to-Pay, Agriculture, Finance etc.)</li></ul> <ul><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience delivering large and complex application implementations (eg. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support, leveraging Agile, Scrum and/or DevOps practices.</li></ul> <ul><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines, is preferred.</li></ul> <ul><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Sets up and maintains application configurations to meet user and business requirements while developing and recommending and implementing improvements to standard and moderately complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs programming, configuration, testing and deployment of fixes or updates for application version releases. </li><li>Designs, configures, tests, deploys and supports large and complex application changes and fixes in accordance with established standards and practices.&nbsp;</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Keeps an open channel of communication with users stakeholders and responds to standard and moderately complex application support requests and needs.&nbsp;</li></ul> <ul><li>APPLICATION SUPPORT: Conducts application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers &amp; vendors in multi-functional global teams, including business partners to ensure solutions and configurations align with business requirements and best practices.&nbsp;</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests, driving timely resolution within agreed processes, balancing delivery speed with quality and stability.&nbsp;</li></ul> Requirements <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.</li><li>ERP &amp; DOMAIN EXPERTISE: Hands-on experience with enterprise-scale applications (ERP preferred) in a techno functional capacity, with exposure to one or more ERP business domains (eg. Order to Cash, Procure to Pay, Agriculture, Finance).</li><li>Translating business requiremts to technical specifications.</li><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience working on large and complex application implementations (e.g. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support leveraging Agile, Scrum, and/or DevOps practices.</li><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines is preferred.</li><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

Responsibilities; Software Develpoment:&nbsp; <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li></ul> Automation:&nbsp; <ul><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.&nbsp;</li></ul> Collabroation:&nbsp; <ul><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.&nbsp;</li></ul> Testing &amp; Debugging:&nbsp; <ul><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.&nbsp;</li></ul> Continoud Improvement:&nbsp; <ul><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.&nbsp;</li></ul> Documentation:&nbsp; <ul><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.&nbsp;</li></ul> Technical Support:&nbsp; <ul><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.&nbsp;</li></ul> Preferred Qualifications: <ul><li>SAP BTP and/or Boomi expertise</li><li>4+ years of professional experience</li></ul>

Role Description: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li></ul> Responsibilities: <ul><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.</li><li>AUTOMATION: Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs.</li><li>TESTING &amp; DEBUGGING: Writes and maintains moderately complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>CONTINUOUS IMPROVEMENT: Makes suggestions for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>DOCUMENTATION: Drafts and maintains comprehensive documentation for moderately complex software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Software Engineer: Minimum requirement of 3 years of relevant work experience.&nbsp;</li><li>React/Typescript/UI</li><li>Java/Spring Boot/Python/APIs</li><li>PostgreSQL</li><li>CI/CD pipelines</li><li>AWS/Azure Cloud Services</li></ul>

Responsibilities: <ul><li>Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.</li><li>Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.</li><li>Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.</li><li>Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.</li><li>Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.</li><li>Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.</li><li>Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.</li><li>Typically reflects 5 years or more of relevant experience.</li><li>Experience with one or more of the following technologies:</li><li>React/Typescript/UI’s.</li><li>Java Spring Boot/ Python / API’s.</li><li>PostgreSQL.</li><li>CI/CD pipelines.</li><li>AWS Cloud Services.</li></ul>

Responsibilities: <ul><li>Ability to troubleshoot problems in a live environment and provide real time help with critical issues.</li><li>Write code that is easily understood and maintainable by other team members.</li><li>Keep up to date with developments in technologies we are using.</li><li>Ability to communicate and work effectively, supporting various business departments.</li><li>Ability to work in fast-paced interdisciplinary environment.</li></ul> Requirements <ul><li>BA/BS in Computer Science or equivalent practical experience.&nbsp;</li><li>At least 3+ years of post-university experience as a full-stack engineer.</li><li>Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.</li><li>Strong knowledge of Python.</li><li>Solid knowledge SQL and relational databases.</li><li>Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.</li><li>Experience working in a cloud environment (AWS, Azure, GCP).</li><li>Familiarity with popular Python data analytics frameworks.</li><li>Familiarity with Snowflake or other large analytics engines.</li><li>Experience with data warehousing and working in environments with large scale, complex analytics requirements.</li><li>Familiarity with DAG-based job scheduling tools.</li><li>Cloud-native container orchestration platforms and tools.</li><li>Experience working in the Financial Services industry.</li></ul>

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16 amazon dynamodb Jobs found

Machine Learning Engineer Lead

Software Engineer – Ag & Trade

Senior Application Developer - ERP

ERP Application Developer

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Software Engineer - Boomi or BTP

Software Engineer

Senior Software Engineer

Associate Data Engineer

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16 amazon dynamodb Jobs found

Machine Learning Engineer Lead

Software Engineer – Ag & Trade

Senior Application Developer - ERP

ERP Application Developer

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Software Engineer - Boomi or BTP

Software Engineer

Senior Software Engineer

Associate Data Engineer

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

EMPLOYER

TALENT

COMPANY

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