AI Jobs

Benefits:

• A very ambitious scale-up: just raised Series A from an international consortium of investors in the sustainable energy industry.

• The opportunity to directly impact sustainability and the energy transition in a senior role.

• Being part of a mission to make the world more sustainable by reducing losses in heating: the most significant opportunity for cities to decarbonise.

• A competitive salary with a variable incentive on top.

Education Requirements:

• BSc, MSc or higher, preferably in a relevant engineering discipline (mechanical, energy, industrial, etc)

Experience Requirements:

• 0-5 years of working experience in energy/analytics, preferably in a client-facing role.

Other Requirements:

• Proficiency in German is required for this role - either native or fluent.

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Responsibilities:

• Develop and maintain web scraping scripts to extract data from a variety of sources.

• Collaborate with the data team to understand data requirements and implement effective scraping strategies.

• Conduct data quality assessments to ensure the accuracy and reliability of scraped data.

• Optimize scraping processes for efficiency and performance.

• Troubleshoot and resolve issues related to data extraction and scraping. Implement data storage and management solutions using SQL databases, Git, Redis, and Elasticsearch.

Benefits:

• Group life assurance policy

• Income protections policy

• Access to our employee wellbeing programme

• An extra day off to celebrate your birthday

• Enhanced Maternity & Paternity leave policies may be available depending on location, eligibility and length of service with Napier. Please ask your Recruiter for more details during your application process.. For example, UK offers 6 months full pay for Maternity Leave and 1 month full pay for Paternity Leave. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.

Experience Requirements:

• At least 4 years of commercial experience in an engineering role working on microservice-based solutions

• Experience in Agile delivery environments

• Knowledge of DevOps and infrastructure engineering principles and practices

Responsibilities:

• Assuming direct development responsibility for developing, debugging and unit testing of product features in accordance with internal procedures and standards

• When required, diagnosing, and solving functional and performance/scalability issues

• Helping to improve technical practices towards a continuously releasable end-state, especially in terms of GitHub, CI/CD, and development processes

Benefits:

• Comprehensive private healthcare through AXA covering optical, audio & dental.

• 25 days of annual leave + bank holidays.

• Dedicated pension plan through Aviva.

• Life Insurance 4x your annual salary.

• Enhanced Maternity & Paternity leave. Please note Maternity & Paternity leave policies may be available depending on location, eligibility and length of service with Napier. Please ask your Recruiter for more details during your application process.. For example, UK offers 6 months full pay for Maternity Leave and 1 month full pay for Paternity Leave. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. (this is a guide only as policies are updated from time to time). Please speak to your Recruiter to clarify the details for the location you are applying for. We also offer Shared Parental Leave in the UK too, allowing parents to divide leave after birth, subject to meeting eligibility requirements. Details of our policy will be shared with eligible candidates during the application process.. Please also note this role can be fulfilled with a hybrid approach or fully in office – depending on your preference and in agreement with the Hiring Manager.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.. This is subject to change depending on business needs and requirements for our dynamic workforce at Napier. Please confirm this detail with your Recruiter and Hiring Manager throughout the application process so you are fully informed about the type of working environment you can do the role in, during your employment at Napier.

Education Requirements:

• Bachelor’s degree in computer science, Information Technology, or a related field.

Experience Requirements:

• 4+ years of experience in database administration, including relational database management.

Responsibilities:

• Database Administration: Install, configure, and maintain relational database systems (e.g., PostgreSQL, MySQL, Oracle), ensuring data availability, performance, and security.

• Elasticsearch Administration: Set up and manage Elasticsearch clusters, optimizing performance and handling indexing and query tuning to meet the needs of high-volume data applications.

• Data Security and Integrity: Implement robust security protocols and regular backup/restore procedures to safeguard data integrity across all managed systems.

• Performance Monitoring and Optimization: Regularly monitor database and Elasticsearch environments, applying tuning techniques to ensure optimal performance.

• Data Modelling and Indexing: Collaborate with development teams to design efficient data models, implement indexing strategies, and optimize database queries.

Experience Requirements:

• 3+ Years Exp.

• DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git

• Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka

• Programming and Scripting: Java, Python, or Scala

• Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsightSecurity: Knowledge of security best practices for infrastructure and dataProblem-Solving and Troubleshooting

Responsibilities:

• Big Data DevOps Engineer specializing in data infrastructure and operations

Experience Requirements:

• 4+ Years Exp.

• Programming Languages: Python, R, or Java

• Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch

• Database and Data Manipulation: Big data technologies like Apache Spark

• Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker

Responsibilities:

• Data Science Engineer I - Analyze data, drive insights, and innovate solutions

Experience Requirements:

• 4+ Years Exp.

• Product Management Skills: Experience in product management, preferably in a technology or AI-related field.

• Decision Science Expertise: Experience in designing algorithms and models to support decision-making processes.

• AI and Machine Learning Knowledge: TensorFlow, PyTorch, or scikit-learn

• Data Analysis and Statistics:Technical Proficiency: Python, R, or JavaCommunication and Leadership | Business Acumen | Problem-solving and Critical Thinking

Responsibilities:

• Product Manager specializing in Decision Science for data-driven innovation

Experience Requirements:

• 2+ Years Exp.

• AI and Machine Learning Expertise: TensorFlow, PyTorch, etc

• Engineering Leadership: Experience in a leadership role, preferably as an Engineering Manager.

• Technical Proficiency: Python, Java, or R | SDLC

• Platform Development: Knowledge of distributed systems and scalability considerations for AI applicationsAgile Methodology: Experience with Agile development methodologies.Communication Skills | Problem-solving and Innovation | Collaboration | Decision Making

Responsibilities:

• Manager leading AI Platform engineering for innovation and growth

Experience Requirements:

• 3+ Years Exp.

• Technology Proficiency: Familiarity with CRM

• Research and Analytical Skills: Proficient in conducting market research

• AI and Automation Skills: Familiarity with AI tools and technologies for sales, such as AI-driven lead scoring and predictive analytics.

• Sales Acumen: Understanding of basic sales principles and strategies.Customer Focus: Ability to understand customer needs and tailor communication accordinglyTeam Collaboration | Self-Motivation | Communication Skills

Responsibilities:

• Fueling Growth Through Proactive Sales Outreach and Engagement

Experience Requirements:

• 4+ Years Exp.

• AI Expertise: NLP, computer vision | AI, ML | TensorFlow, PyTorch, or scikit-learn

• Programming Languages: Python, Java, C++, and others relevant to systems engineering and AI development.

• Data Management: Hadoop, Spark, MongoDB, SQL

• Infrastructure and DevOps: Docker and container orchestration with Kubernetes.Problem-solving and Analytical Skills: Ability to troubleshoot complex technical issues and provide effective solutions.Communication and Collaboration | Security and Compliance | Adaptability and Learning

Responsibilities:

• Experienced professional in systems engineering, specializing in senior-level responsibilities

Experience Requirements:

• 6+ years

Benefits:

• 0.1% - 0.5%

Experience Requirements:

• 3+ years

Benefits:

• 0.15% - 0.75%

Experience Requirements:

• 3+ years

Benefits:

• Basislohn

• Bonus

• Lernkurve

• Unternehmerische Freiheit

• Flexible Arbeitsgestaltung

Experience Requirements:

• Macher

• hohe Ansprüche

• Schweizer Taschenmesser

Responsibilities:

• Unterstützung bei wichtigen strategischen Initiativen

• Entwicklung und Umsetzung von Wachstumsstrategien

• Erstellung und Vorbereitung von Materialien für die Kundenakquise

• Mithilfe bei der Verwaltung verschiedener operativer Aufgaben

• Zusammenarbeit mit dem gesamten Team an verschiedenen Projekten

Benefits:

• Make a difference

• Skin in the game / shared ownership

• Room for Growth

• Flexible working

• Company retreats

Education Requirements:

• degree in software engineering, computer science, or a related field

Experience Requirements:

• Experience in ETL pipelines

• Performance optimization

• Full-stack mindset

• Cloud-savvy approach

• Ownership and leadership

Other Requirements:

• Eye for Usability and Design

• Proactive

• Tech Stack

• Cloud Native

• AI and/or SaaS Experience

• Outstanding analytical skills

• Growth ownership

• Domain knowledge

• Thirst for growth

• Outstanding writing skills

• Ability to execute

• Entrepreneurial mindset

• Fluent in English

Responsibilities:

• Architecting robust, scalable APIs

• Integrating AI models

• Building best practices around endpoint design

• Contribute to front-end decisions

• Ensure the web layer is optimized for speed and scalability

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Expert level proficiency in Python

• Strong data structures, algorithms, and OO software design and implementation skills

• Ability to learn and operate across full stack

• Experience as a creative and strategic thinker

• A “get stuff done” attitude

• A track record of successfully influencing product direction

Responsibilities:

• Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side

• Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams

• Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers

• Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions

• Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc

Benefits:

• Unreasonably hospitable and data-driven culture

• Empowered team members

• Trust and freedom

• Shared purpose and recognition

• Competitive compensation

Experience Requirements:

• 3+ years of experience in test automation

Other Requirements:

• Expertise in Python or other modern programming languages used for test automation

• Deep knowledge and hands-on experience building automation at all levels: unit tests, integration tests, and end-to-end (E2E) browser tests

• Experience with Playwright (preferred), Selenium, or other modern test automation frameworks for browser-based E2E testing

• Experience integrating test automation into a CI/CD pipeline for seamless, automated software delivery

• A deep understanding of test automation principles

• Excellent problem-solving skills

Responsibilities:

• Drive the design, development, and optimization of the test automation framework to support the team’s automation strategy

• Champion automation best practices and advocate for continuous improvement of test automation processes across the engineering organization

• Identify gaps and areas of improvement in the existing test coverage and automation suite, and take ownership of scaling and enhancing it

• Lead the development of scalable, maintainable, and effective automation solutions for different levels of the application (unit, integration, and end-to-end tests)

• Build and extend automated test suites at various levels

Education Requirements:

• BS or MS in Computer Science or Electrical Engineering

Experience Requirements:

• 5 years of Design Verification experience

Other Requirements:

• Great debugging and problem-solving skills

• Deep knowledge of SystemVerilog testbench language, DPI and UVM

• Excellent programming skills and knowledge of software engineering practices including object-oriented design

• Experience developing scalable and portable testbenches and components

• Experience with verification methodologies and tools such as simulators, waveform viewers, build and run automation, coverage collection, gate level simulations

• Proficient in a scripting language such as Python or Perl

• Good interpersonal skills and ability & desire to work as a standout colleague are a must

• Extremely self-motivated and eager to solve problems

Responsibilities:

• Work with RTL designers and software engineers to ensure a high-quality design that works first silicon

• Develop detailed test and coverage plans based on the micro-architecture

• Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage

• Write tests, manage regressions, gather coverage, and debug test failures

Experience Requirements:

• 5+ years of physical design/verification experience

Other Requirements:

• Strong knowledge of block level and full-chip physical verification methodology

• Expert at optimizing for the best power/performance and area

• Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.

• Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues

• Expert with IR/EM analysis and resolution

• Good understanding of full chip floorplanning and integration

• Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements

• Demonstrated ability to work with RTL teams to optimize for physical design

Responsibilities:

• synthesis, place and route of our most critical processing element blocks

• all aspects of physical design and implementation

• work closely with the RTL team and with full-chip integration of these blocks

Education Requirements:

• B.S. degree

Experience Requirements:

• 5+ years of software development experience

• 3+ years of collaborative development in Python/SQL or similar languages

Other Requirements:

• Working with Git, Continuous Integration (Jenkins) and Agile development processes

• Writing high quality testable code and following good software practices

Responsibilities:

• Design and implement a robust framework for visualizing and analyzing complex datasets

• Generate insights from data and translate them into actionable recommendations

• Collaborate with cross-functional teams to understand their data needs and provide solutions

• Ensure data quality, integrity, and consistency throughout the analysis process

• Query time series data via SQL and post process using Python