Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Software Engineer - Boomi or BTP

Software Engineer

Senior Software Engineer

Principal Data Scientist

Associate Data Engineer

Technical Writer

Senior Manager Data Science

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</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>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</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>

Responsibilities: <ul><li>Develop and maintain comprehensive documentation for smart contract applications, including user guides, API references, and system overviews.</li><li>Collaborate with engineering and product teams to understand new features and translate them into accurate and accessible documentation.</li><li>Create tutorials, walkthroughs, and FAQs to support users and developers interacting with our applications.</li><li>Ensure documentation is consistent with brand voice, technical accuracy, and usability standards.</li><li>Maintain version control and change logs for documentation updates.</li><li>Organize and manage documentation repositories using tools like Git, Notion, or Confluence.</li><li>Conduct user research and gather feedback to improve documentation quality and relevance.</li><li>Stay current with Web3 trends, tools, and best practices to ensure documentation reflects the latest standards and innovations.</li></ul> Requirements: <ul><li>3+ years of experience in technical writing, preferably in software or blockchain environments.</li><li>Strong understanding of Web3 technologies, including smart contracts, dApps, and blockchain fundamentals.</li><li>Experience documenting APIs, SDKs, and developer tools.</li><li>Proficiency with documentation tools such as Markdown, Git, and static site generators.</li><li>Excellent written and verbal communication skills.</li><li>Ability to work independently and manage multiple documentation projects simultaneously.</li><li>Strong attention to detail and commitment to clarity and accuracy.</li></ul> Bonus Experience: <ul><li>Experience working with smart contracts</li><li>Familiarity with Solidity, Rust, or other smart contract languages.</li><li>Experience with Chainlink tools, including CCIP, Data Feeds, VRF, and Automation.</li><li>Background in UX writing or instructional design.</li><li>Contributions to open-source documentation or developer communities.</li><li>Experience in financial services or regulated industries.</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

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Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Software Engineer - Boomi or BTP

Software Engineer

Senior Software Engineer

Principal Data Scientist

Associate Data Engineer

Technical Writer

Senior Manager Data Science

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15 amazon dynamodb Jobs found

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Software Engineer - Boomi or BTP

Software Engineer

Senior Software Engineer

Principal Data Scientist

Associate Data Engineer

Technical Writer

Senior Manager Data Science

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

EMPLOYER

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