Senior Data Scientist II

Platform Engineer

Manager, Platform Engineer

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Responsibilities: <ul><li>The Professional, Platform Engineering job maintains and partners to design and develop digital technology infrastructure to support information technology applications and services.</li><li>With limited supervision, this job collaborates with cross functional teams to implement new software features to meet user needs and business goals and upgrade existing platforms to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging moderately complex issues.</li><li>This job also participates in code reviews to maintain high code quality and share knowledge with platform engineering team members.&nbsp;</li><li>SOFTWARE DEVELOPMENT: Partners to design and develop high quality software solutions by writing clean, maintainable and efficient codes.&nbsp;</li><li>AUTOMATION: Applies internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology 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, applying test driven development as needed.</li><li>CONTINUOUS IMPROVEMENT: Identifies and suggests options 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>Minimum requirement of 2 years of relevant work experience.</li><li>Typically reflects 3 years or more of relevant experience.</li><li>Preferred Qualifications</li><li>Proficient in JavaScript, Java and Python</li></ul>

Responsibilities: <ul><li>The Manager, Platform Engineering job sets goals and objectives for the achievement of operational results for the team responsible for designing, developing and maintaining digital technology infrastructure to support information technology applications and services. This job oversees the delivery against project planning and prioritization, coordinates collaboration with cross functional teams, and allocates resources effectively and efficiently.</li><li>The job also leads the team to implement best in class industry standards to continuously improve the development process&nbsp;</li><li>PROJECT MANAGEMENT: Oversees the implementation and delivery of software projects, including resource allocation, to ensure they are completed on time and within scope.</li><li>TECHNICAL GUIDANCE: Leads the team to apply internal software deployment platform, continuous integration or continuous delivery pipeline and twelve factor development methodology to automate the deployment process, ensuring smooth and reliable releases.</li><li>QUALITY ASSURANCE: Leads rigorous testing, code reviews, and adherence to best in class industry standards to ensure the quality and performance of software applications.&nbsp;</li><li>PROCESS IMPROVEMENT: Suggests continuous improvement initiatives and leads the implementation of approved standards to improve software development and deployment processes and operational excellence, applying test driven development as needed.</li><li>COLLABORATION: Coordinates collaboration with product managers, designers and other cross functional teams to gather requirements, set priorities and deliver resolutions to meet business objectives.</li><li>DOCUMENTATION: Leads and reviews the creation and maintenance of comprehensive documentation for software applications, deployment processes and system configurations.</li><li>TECHNICAL SUPPORT: Leads technical support and troubleshooting for deployed applications for minimal downtime and fast resolution of issues.</li><li>STAKEHOLDER MANAGEMENT: Maintains partnership with key internal and external stakeholders, understanding their needs and enabling effective communication to assure project alignment and success.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</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>Supervisor experience in software engineering.</li></ul>

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Senior Data Scientist II

Platform Engineer

Manager, Platform Engineer

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Senior Data Scientist II

Platform Engineer

Manager, Platform Engineer

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

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