Senior Manager Data Science

Senior Data Scientist II

Senior Data Scientist

Application Support Lead (Retail & Wholesale)

Infra & Network Security Lead

Java Backend Engineer

Data Engineer / Senior / Supervisor

Staff Software Engineer - Backend

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>

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>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: <ul><li>Provide technical leadership in support of the organizations digital bank implementation.</li><li>Responsible for overall delivery of the mobile/internet banking platform or country implementation of a digital banking platform.</li><li>Provide management oversight to IT area leads, Chapter Leads and other senior IT professionals. Maintain strong collaboration and partnership with business and product teams.</li><li>Provide thought leadership and facilitate the sharing of knowledge between digital bank team and across other organizations teams to strengthen capabilities and the organizations ability to respond to business and customer needs. Drive strategies, technical roadmaps and implementation of digital bank portfolio.</li><li>Drive digital transformation – support and drive digital business and technology change through organisational, cultural, behavioural and process changes.</li><li>Champion change initiatives and provide guidance and support on the design, implementation and communication of each initiative.</li><li>Support the Team - Build up the right capabilities and people, equip them with the skills, tools, and standard approaches to deliver functional excellence, and ensure that they are deployed to value-creation opportunities — sometimes in long-term roles supporting the business, but more often to the small, independent squads.</li><li>Build Capabilities - Responsible for building a “capability” to support a value-creation line; shepherding people along their career paths; evaluating and promoting people; and building standard tools, methods, and ways of working in collaboration with the Chapters and the Platform/Tribe Coaches.</li><li>Manage By Empowering - The ITAL must manage external (vendors) and internal resources, must evaluate, promote, coach, and develop his or her people, but without traditional direct oversight. The ITAL is not involved in the day-to-day work of squads for “value creation standpoint” but has the responsibility to supervise the day-to-day (quality, velocity, productivity, resourcing, vendor management) in collaboration with team members and the Platform/Tribes/Squad business leads.</li></ul> Requirements: <ul><li>Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience 9+ years technical and delivery experience, preferably in a banking or wholesales banking environment.</li><li>Experience in mixed development methodology development waterfall and Agile delivery</li><li>Strong organizational and leadership skills.</li><li>Ability to transform traditional development organisations into high performance squads.</li><li>Ability to nurture individual tribe leads / IT area leads into high performing rockstars.</li><li>In depth experience on 1 or more programming languages, such as Java, React.JS</li><li>Familiar with application hosting technologies, such as Apache, JBOSS, Weblogic.</li><li>Experienced in: o Various API design (RESTFUL, SOAP) and microservices architecture o Hybrid mobile solution. o Digital banking solution for SME/ corporate banking. o Developing web applications using Java/J2EE technologies o Configuration, deployment of enterprise applications with JBOSS o All the phases of Software Development Life Cycle from Analysis to Production support o Developing micro services and consuming RESTful web services.</li><li>Ensures technical execution, planning, advice, support, and mentoring of developers, architects and analysts</li><li>Strong knowledge on: o Web applications security, such as authentication &amp; authorisation, session management, data security and other best practice to protect web applications from vulnerabilities and threats o Identifying backend performance bottlenecks on both application &amp; integration layers, and performs relevant optimizations. o Design principles and design patterns. o All architecture layers.</li><li>Familiar with server-side Frameworks – Core-Java, Apache Camel, Maven, Spring framework, Spring Boot, Multi-threading, JDBC, JMS, Hibernate, JPA, JSON, Mockito, Swagger, OpenShift, Kubernetes.</li><li>Familiar with database technologies such as Oracle, MariaDB. Performing design and code review for other team members.</li></ul>

Responsibilities: <ul><li>Manage and guide the security team responsible for infrastructure and network security.</li><li>Monitors network performance, troubleshoots issues and deploys solutions</li><li>Manage front-line technical support to end users on various technical issues and problems regarding their Access</li><li>Perform SME role and work on complex technical issues in Firewall, VPN and Proxy.</li><li>Familiarity with Service Management tools (eg:ISM/ Service Now/BMC remedy) for the logging and tracking of incidents, and service requests</li><li>Implement and manage continuous security monitoring solutions for infrastructure and network components</li></ul> Requirements: <ul><li>10-13+ years of Cyber security for Firewall, Proxy, VPN IPS</li><li>Working experience, having played roles as VPN end-to-end implementation.</li><li>Strong reliability and high quality and security awareness.</li><li>Knowledge of web and application servers (Apache/IIS/Tomcat/Websphere)</li><li>Perform SME role and work on complex technical issues in Firewall, VPN and Proxy.</li><li>Candidate should have experience in Zscaler private Access (ZPA) VPN end-to-end implementation.</li><li>Experience in Deep troubleshooting experience with Zscaler VPN and other Firewalls.</li><li>Knowledge of ITIL incident and problem management.</li><li>Knowledge of Security Incident Event Management ( IBM QRader SIEM) is a add on</li><li>Must be familiar with Network Protocol Analyzers (tcpdump, Wireshark)</li><li>Must have deep understanding of network protocols and network security TCP/IP, UDP, DHCP, FTP, SFTP, SNMP, SMTP, SSH, SSL, DNS, RDP, HTTP and HTTPS.</li><li>The network security SME possesses the technical hand on capability and experience to assess current network security posture, document current/future state, provide roadmap/gap analysis for implementation activities</li><li>Good understanding of financial domain and Security IT.</li><li>Good to have experience with other security solutions like Firewall – Checkpoint or Palo Alto etc. Knowledge of Linux and web application servers (Apache/IIS/Tomcat)</li><li>Hands on experience on Firewall (Palo Alto, CISCO), VPN (Zscaler), Proxy (forward, Reverse, Transparent and Web 2.0), SSL interception/MITM &amp; Data leakage space, Security Analytics. Implementation, customization, coding, Support.</li></ul>

Responsibilities: <ul><li>Collaborate with team, high availability, concurrent and fault tolerant software systems.</li><li>Significantly contribute to development of Aladdin’s global, multi-asset trading platform.</li><li>Work with product management and business users to define the roadmap for the product.</li><li>Design and develop innovative solutions to complex problems, identifying issues and roadblocks.</li><li>Apply validated quality software engineering practices through all phases of development.</li><li>Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support.</li><li>Be a leader with vision and a partner in brainstorming solutions for team productivity, efficiency, guiding and motivating others.</li><li>Drive a strong culture by bringing principles of inclusion and diversity to the team and setting the tone through specific recruiting, management actions and employee engagement.</li><li>For VP Level: In addition to above, a VP level candidate should be able to lead individual projects priorities, deadlines and deliverables using AGILE methodologies.</li></ul> Requirements: Qualifications: <ul><li>B.S. / M.S. degree in Computer Science, Engineering, or a related subject area</li><li>For VP Level: 8+ years of proven experience</li><li>For Associate Level: 4+ years of experience</li></ul> Skills and Experience: <ul><li>A proven foundation in core Java and related technologies, with OO skills and design patterns</li><li>Track record building high quality software with design-focused and test-driven approaches</li><li>Good hands-on object-oriented programming knowledge in Java, Spring, TypeScript, JavaScript, Microservices, Angular (2.0+), React.</li><li>Strong knowledge of Open-Source technology stack (Spring, Hibernate, Maven, JUnit, etc.).</li><li>Experience with relational database and/or NoSQL Database (e.g., Apache Cassandra)</li><li>Great analytical, problem-solving and communication skills</li><li>Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions.</li><li>For VP Level: In addition to the above, a VP level candidate should have experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or component. Ability to form positive relationships with partnering teams, sponsors, and user groups.</li></ul> Nice to have and opportunities to learn: <ul><li>Exposure to building microservices and APIs ideally with REST, Kafka or gRPC.</li><li>Experience working in an agile development team or on open-source development projects.</li><li>Experience with optimization, algorithms or related quantitative processes.</li><li>Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis</li><li>Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud</li><li>Experience with DevOps and tools like Azure DevOps</li><li>Experience with AI-related projects/products or experience working in an AI research environment.</li><li>A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.</li></ul>

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: Lead your team’s engineering efforts and demonstrate ownership of features, projects, modules, and services that you and your team deliver. Lead design and development efforts of existing and new payment experiences using a wide variety of technologies. Play a key role in the broader architectural decision-making processes. Act as a strong advocate for clean and scalable principles and practices in all areas, including coding, documentation, automation etc. Participate in formal and informal code and design reviews to hold quality high. Be a champion of high-performing, secure, and reliable software services. Identify critical non-functional requirements for the work your team is prioritizing (Availability, Security, Performance, Scalability, etc.) Provide technical leadership to your team across all phases of the software development lifecycle. Collaborate and communicate effectively with all technical and non-technical partners and stakeholders (Architecture, Developer Experience, Product, Design, Analytics, Legal, Marketing, etc.) Work with your Agile team to achieve shared understanding around the new products and features under consideration. Continuously learn by staying on top of the latest technology trends and share your knowledge and experience with your peers, adjacent teams, and across the organization. Collaborate frequently with other developers and teams to design and implement the cutting-edge reliable solutions. Understand and apply our technical architecture to ensure consistent, reliable, and secure deployments. Enhance and maintain existing product capabilities as required. Actively contribute to the test suites to enable speedy and reliable continuous integration. Guide continuous improvements to our build, deploy, and go to market processes. Bring fresh ideas for how to continuously improve our software, and your team. Advocate for ways to avoid and remediate technical debt on an ongoing basis. Actively participate in program planning, influencing the product and technology roadmap, and driving outcomes.  Requirements: You have a Bachelor’s or Master’s degree in Computer Science, or a related field of study. You have 8+ years of professional experience in the software industry. You are proficient and have strong skills in Java, object oriented, and functional programming, and are familiar with all related and latest topics and technologies. You care about writing high-quality code, and you've written your fair share of automated tests to back up your code. You're passionate about high-scale, high-throughput, low-latency systems, and about creating compelling experiences and integrations.  You're a problem solver, and you enjoy working both independently and collaboratively to identify the root cause of any issue and solve it with a can-do mindset.  You have experience mentoring less seasoned team members. You are open to and enjoy collaborating with teammates in non-technical roles as well.  Experience in developing software for distributed systems with high performance, scalability, and availability. Familiar and comfortable with the technologies, the tradeoffs, and the design patterns emerging in application development. Experience in developing high performance, scalable and available web services using J2EE and frameworks such as RestEasy, Spring, Apache CXF and Jersey.. Good understanding of web services and SOA related standards like REST/OAuth/JSON and SOAP/WSDL. Experience in payments processing or e-commerce domains. Experience working in a global-scale SaaS environment. Thrive in a fast-paced, dynamic environment. You have a bias towards action and results. 

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8 apache spark Jobs found

Senior Manager Data Science

Senior Data Scientist II

Senior Data Scientist

Application Support Lead (Retail & Wholesale)

Infra & Network Security Lead

Java Backend Engineer

Data Engineer / Senior / Supervisor

Staff Software Engineer - Backend

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8 apache spark Jobs found

Senior Manager Data Science

Senior Data Scientist II

Senior Data Scientist

Application Support Lead (Retail & Wholesale)

Infra & Network Security Lead

Java Backend Engineer

Data Engineer / Senior / Supervisor

Staff Software Engineer - Backend

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

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