Requirements & Skills:

• Strong background in the foundations of deep learning with a proven track record of productionalization of models for NLP, computer vision, information extraction, or related practice
• Expertise with at least one deep learning framework (PyTorch, TensorFlow, or equivalent)
• Knowledge in the latest NLP-related algorithms and methods, such as transformers, sequence-to-sequence models, word and sentence embeddings, attention, etc
• Fluency in Python
• Familiar with SQL
• Experienced in Software Engineering and Data Modeling fundamentals
• A master’s or PhD in Computer Science, Mathematics, Statistics, or another quantitative discipline or 3+ years equivalent industry experience

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Responsibilities:

• Data Engineering/ETL: Design, develop, and maintain robust ETL pipelines using cloud-based technologies (such as Airflow and PySpark) to extract, transform, and load large and complex datasets.
• Model Development: Build, train, evaluate, and deploy data science models and algorithms to address critical healthcare challenges without supervision.
• Statistical Analysis: Use your expertise to conduct rigorous statistical analyses, including hypothesis testing and A/B testing, to draw meaningful conclusions from data.
• Insight Generation: Uncover actionable insights from complex data, and communicate findings effectively through compelling visualizations and presentations.
• Collaboration: Work closely with cross-functional teams, including pharmacists, analysts, and engineers, to translate business requirements into technical solutions.
• Innovation: Stay abreast of the latest advancements in data science and machine learning, and explore innovative approaches to solve complex problems.
• Take ownership of the development and implementation of complex Data projects, and mentor junior team members.

Requirements & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years of industry experience in building, training, evaluating, and optimizing machine learning models, with a strong focus on model development and deployment.
• 2+ years of industry experience generating actionable insights from data and telling stories from complex data.
• 2+ years of industry experience in statistics, hypothesis testing, A/B testing, and experimental design.
• Solid experience and understanding of data science methods such as Time Series, Regression, Classification, Clustering, Deep learning, NLP, GenAI, etc
• Extensive industry experience in data ETL pipeline automation on cloud-based tools (preferably using AirFlow and PySpark).
• Proficiency in Python, SQL, Pandas, Scikit-Learn, Airflow, and deep learning tools such as Keras or Tensorflow.
• Excellent written and verbal communication skills with the ability to clearly articulate complex ideas in a concise manner
• Understanding the healthcare domain, with a passion and desire to make a positive impact.

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Responsibilities:

• Cultivate a deep understanding of the portfolio of machine learning components we utilize, including AI, Gen AI, and LLMs, along with their respective strengths and weaknesses, to provide solutions to existing and future challenges.
• Lead the technical architecture for machine learning components and cross-functional ML teams, ensuring integration with advanced AI technologies.
• Define the long-term vision for your team, aligning with the company’s strategic and tactical goals, with a focus on machine learning and AI initiatives.
• Translate project goals and product roadmaps into organized technical tasks, collaborating with other EMs to ensure alignment.
• Guide the team to improve our AI and ML components, ML Ops, and processes through your knowledge of industry trends and tools, along with your own experiences.
• Provide guidance and direction to the ML development team to remove obstacles and keep initiatives on target and moving forward.
• Coach and mentor developers in the team through technical design sessions, code reviews, and pair programming, with an emphasis on machine learning and AI practices.
• Provide technical guidance and support in resolving critical production issues, particularly those related to machine learning and AI.
• Collaborate with business and product stakeholders to successfully deliver new machine learning and AI features and capabilities.
• Construct design documents and documentation to aid in maintenance and code reuse, particularly for machine learning and AI systems.
• Have one-on-one meetings with your team members.
• Conduct performance reviews and set accountability for team members.

Requirements & Skills:

• Minimum of 5-7 years in software development, including substantial AI/ML experience.
• Several years in a leadership role, managing and mentoring teams of engineers and data scientists.
• Proven track record in managing complex projects, including planning, execution, and delivery.
• Experience working closely with product managers, data scientists, and other stakeholders.
• Deep understanding of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java).
• Strong knowledge of AI/ML concepts, including advanced technologies like Gen AI, LLMs, and semantic search.
• Expertise in data handling, preprocessing, and pipeline development, with proficiency in SQL/NoSQL databases.
• Ability to analyze large datasets, identify trends, and evaluate model performance using various metrics.
• Strong understanding of security architecture and data privacy regulations, ensuring compliance with industry standards.
• Ability to solve complex technical problems and drive innovation with a continuous learning mindset.
• Practical experience in the production implementation of high-availability AI/ML systems, ensuring reliability and scalability.
• Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.
• Ability to adapt to changing technologies and business requirements, fostering a positive and inclusive team culture.

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Responsibilities:

• Complete the implementation of AI use cases, including the development of process and technology workflows. Ensure these workflows are efficient, scalable, and aligned with the specific objectives of each use case.
• Design and implement proof-of-concept projects to demonstrate the feasibility and value of emerging-generation AI technologies in addressing business challenges.
• Evaluate existing business processes and systems to identify inefficiencies and areas for improvement where AI could be a solution.
• Propose and implement innovative AI solutions to streamline processes, increase productivity, and drive operational efficiency.
• Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using internal and 3rd party tools
• Stay abreast of advancements in AI technology and evaluate their potential impact on our business.
• Facilitate training and knowledge-sharing sessions to enhance AI literacy within the company
• Effectively communicate complex technical concepts to both technical and non-technical customers.

Requirements & Skills:

• 5+ years of experience in the following fields
  • Developing algorithms using data science technologies to build analytical models
  • Extraction/manipulation experience using scripts specific to AI/ML
  • Data wrangling/cleansing, statistical modeling, and programming
• Experience within a shared services environment or in a consulting capacity is a plus
• Experience with both structured and unstructured data (SQL, NOSQL) is a plus
• Experience in data science and Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG) is a plus
• Bachelor in a relevant field (Computer Science, Machine Learning, etc.) is a plus
• Prior experience with Finance areas including R2R, P2P, or O2C is a plus
• Highly collaborative; aligns effectively with colleagues and business partners to deliver results while increasing the success of all contributors
• Excellent problem-solving and analytical skills.

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Responsibilities:

• Siri Language Technologies team is looking for a resourceful Full-stack Engineer who will drive the design and implementation of the annotation tooling data pipeline and web services to support the development of next-generation NLU technologies.
• You will be working directly with NLU data scientists and modeling engineers to interpret requirements and make informed design decisions.

Requirements & Skills:

• BS, MS in Computer Science, Computer Engineering, or equivalent degree with applicable experience.
• Conceptualize, design, develop, test, deploy, maintain, and improve annotation tooling with a modern technology stack, continuous integration, and deployment that will be used by multiple teams within AI/ML
• Developing and maintaining complex, rich, large-scale web applications for data-intensive systems.
• Ability to clearly communicate, and collaborate with designers, front-end engineers, annotation project leads, data scientists, and data engineers as we develop highly reliable and scalable web services and APIs
• Build APIs and UIs that are simple and powerful
• Help scale data infrastructure and drive data efficiency
• Experience designing, building, and maintaining APIs (GraphQL preferred), and cloud technologies (Kubernetes and AWS preferred).
• Proficient coding skills in the back-end, data manipulation, and scripting languages (e.g., Java/Scala/Python/Go)
• Proficient in SQL and NoSQL databases to build solutions for large-scale systems (e.g., PostgreSQL, MongoDB, Spark)
• Experience with web programming languages (e.g., Typescript/Javascript, Node.js, CSS) and modern frontend/web libraries/frameworks (React, Redux)
• Some experience in building highly available production services, including deployment automation and scaling
• Preferred experience with large-scale distributed data processing (e.g., Hadoop, Spark, Kafka)
• Excellent grasp of the fundamentals of software engineering.
• Proficient knowledge of Git.

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Responsibilities:

• Lead and mentor a team of 10 Python & Java engineers, fostering a culture of collaboration and technical excellence
• Define, optimize, and implement efficient workflows and development processes to enhance team productivity
• Develop, maintain, and improve technical documentation for clarity and consistency
• Establish and refine team coordination processes, ensuring alignment with project goals
• Implement monthly updates for Deep Learning Python libraries, addressing security vulnerabilities and maintaining stability
• Maintain and enhance ODA’s Python libraries, ensuring security, reliability, and compatibility
• Improve test coverage for Python libraries to enhance reliability and maintainability
• Communicate daily with the client, providing updates, addressing concerns, and ensuring smooth collaboration

Requirements & Skills:

• 5+ years of relevant experience in Python development
• 1+ years of leadership experience, including mentoring engineers and managing project workflows
• Strong programming skills in Python (Java knowledge is a plus)
• Expertise in NLP and Deep Learning, including hands-on experience with PyTorch, TensorFlow, and Transformers
• Experience with Python libraries such as Pydantic, AIOHTTP, urllib3, Cryptography, etc
• Build and dependency management skills, including Poetry, PIP, and familiarity with Maven and Gradle
• Strong understanding of secure coding practices and experience addressing security vulnerabilities
• Excellent troubleshooting and collaboration skills to support iterative development processes
• Strong communication skills, with the ability to work directly with clients and cross-functional teams
• Availability between 9:00 AM – 10:00 AM CET (depending on location) until 6:00 PM CET
• Work within a Virtual Desktop Infrastructure (VDI) running Windows and comply with Duo MFA authentication policies
• Excellent command of English (B2+ level), both written and spoken

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