AI Jobs

Benefits:

• We offer a supportive, agile, creative work environment with brilliant colleagues!

• Competitive compensation, ongoing recognition, and a chance to learn, contribute, and develop your skills.

• Opportunity to join an explosive industry, a successful and growing organization, and an unmatched leadership team passionate about their employees!

Experience Requirements:

• 5+ years as a Data Engineer or Backend Developer.

• Proficient in Python; advanced skills are a plus.

• Experience designing scalable data platforms, preferably in SaaS.

• Expertise in building, optimizing, and maintaining large-scale production systems.

• Hands-on with ETL/ELT pipelines, focusing on monitoring, supportability, and resource efficiency.Strong knowledge of orchestration tools (e.g., Apache Airflow, Dagster).Clear communication of technical processes to non-technical stakeholders.Proven ability to design scalable, cloud-based systems in SaaS environments

Responsibilities:

• Design and implement end-to-end features and services within a multi-service architecture.

• Build and maintain a scalable data platform, incorporating advanced business logic and developing asynchronous, data-oriented, and scalable services.

• Continuously improve and enhance the current data platform to ensure reliability, scalability, and performance.

• Enhance and extend the functionality of existing systems

Benefits:

• Hybrid work culture

• Top talent and growth

• Unlimited vacation days

• Equity and stock

• Innovation galore

Education Requirements:

• BA/B.Sc. in Computer Science/ Statistics/ Economics/ Business or related fields

Experience Requirements:

• 3-5 years of experience in a similar role - Experience with web/mobile data analysis is preferred

Other Requirements:

• Experience with SQL, Python, R, or similar and with data visualization tools such as Looker - advantage, Tableau, Power BI

• Ability to understand business objectives and translate them into data-driven product strategies

• Strong problem-solving skills and the capacity to make data-backed recommendations

• Excellent interpersonal skills and the ability to work effectively with cross-functional teams

Responsibilities:

• Collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities

• Collaborate closely with cross-functional teams, including product managers, engineers, and customer success, to identify areas for improvement in our products

• Design, execute, and analyze A/B tests and experiments to measure the impact of product changes

• Develop and maintain dashboards and reports to track key product metrics, performance indicators, and other relevant data

Other Requirements:

• passionate developers

• wants to push the boundaries to solve complex business problems using the latest tech stack

Benefits:

• Permanent Work From Home

• Focus on mental health

• Monthly Town Hall

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave

Education Requirements:

• Engineering/Facility Management degree preferred

• At least 6 years experience in a senior role within facility management

Experience Requirements:

• 6 years or more of progressive hotel or building management experience

• With opening hotels, previous hotel pre-opening experience preferred

Other Requirements:

• Demonstrated ability to effectively interact with people of diverse socioeconomic, cultural, disability, and ethnic backgrounds

• Service oriented style with professional presentations skills

• Proven leadership skills

• Clear concise written and verbal communication skills in English

• Must be proficient in Microsoft Word and Excel

Responsibilities:

• Review contracts and negotiate revisions

• Requisition supplies and materials

• Interpret and explain plans

• Plan, organize, and direct activities

• Prepare and submit budget estimates

Education Requirements:

• Doctoral

Benefits:

• Generously matched contributions

• Vitality Health (London employees)

• Life insurance (London employees)

• 25 days holiday plus bank holidays

• Learning & development fund

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• Medical, Dental & Vision coverage

• 401(k) Plan

• Unlimited PTO

• Two annual company-wide, week-long breaks

• Flexible work environment

Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Experience Requirements:

• Minimum of 2 years of experience in alt text creation and eLearning content editing

Other Requirements:

• Proficiency in alt text standards, guidelines, and accessibility principles (e.g., WCAG, Section 508)

• Strong attention to detail and commitment to producing high-quality alt text descriptions

• Excellent written and verbal communication skills

• Familiarity with eLearning authoring tools and Learning Management Systems (LMS) is a plus

• Knowledge of assistive technologies used by individuals with disabilities (e.g., screen readers) is preferred

Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Education Requirements:

• Computer science education or equivalent experience

Experience Requirements:

• 7+ years experience

• 2+ years experience in a leadership role with current technical experience

Other Requirements:

• Ability to use SCM(Source Code Management ) such as GitHub, GitLab

• Exquisite brokering skills, regularly achieve consensus amongst departments

• In-depth technical experience in at least one of the core languages, frameworks, or technologies used by your team

• Excellent written and verbal communication skills

Responsibilities:

• Responsible for the growth of the team

• Run agile project management processes

• Provide guidance and coaching to team members on technical contributions, product architecture, and other areas

• Maintain empathy for the team by keeping awareness of engineering processes and practices e.g. evaluating individual work during one on ones, conducting code reviews, or working on non-critical path bugs and/or features

• Create a safe environment for the members to work

Education Requirements:

• Bachelor’s degree in Maritime Studies, Data analysis, or any other related field

Experience Requirements:

• 5-10 years of experience in maritime data management

Other Requirements:

• In-depth knowledge of the global shipping industry, including ownership structures and maritime regulations

• Ability to work with external data sources and streamline data from various inputs

• Strong analytical skills with proficiency in data management tools (e.g., SQL, Python, Excel) and quality assurance processes

• Experience in data selling and/or data acquisition processes (e.g. data catalogues, data samples, API requirement etc)

• Ability to work in a fast paced environment, involving sensitive data needing immediate attention

Responsibilities:

• Ensure accuracy and consistency in ship ownership and shipping company data

• Track changes in ownership, addresses, and registrations, including changes occurring as a result of new Sanctions, and ensure records are updated in a timely manner

• Track and maintain high quality data across our datasets, and implement processes to ensure data quality improvement where needed

• Assist customer support team with complex Ownership queries and investigations

• Provide guidelines and training to members of our remote Editorial Team on data collection processes, and data investigations

Benefits:

• Relocation Support

• Technology Training

• Growth Budget

• Team Activities & Retreats

• Work From Anywhere (Remote Work Allowed)

Benefits:

• Employee Stock Options

• Extensive Health Insurance Coverage

• Team Outings

• Delicious Meals and Snacks at the Office

• Generous Leave and Paid Time Off Policies

Experience Requirements:

• Strong knowledge of SQL

• Working knowledge of scripting (one of Python, R)

• Experience working with at least 1 BI Tool (Superset, Tableau, Metabase, Google Analytics, Clevertap, MixPanel etc.)

• Strong communication skills - ability to effectively communicate the insights developed to the various stakeholders in the organization

• Able to work with agile product development teams and able to identify new ways to help your team be effective

Other Requirements:

• Brownie points to folks who’ve built or worked on analyzing conversational AI products

• Experience working on Machine Learning and NLP systems

Responsibilities:

• Support the product and delivery teams to drive improved product quality and customer satisfaction by leveraging data to study business and UX impact for features and product improvements

• Deep dive into data and identify right problem statements and right segments to target and take experimentation driven product delivery approaches.

• Work closely with Tech, Product, CS and Delivery to deliver standard and custom dashboards to enable understanding of bot health and performance with minimal guidance

• Capture insights from customer feedback, experiments, research, and data analysis to identify trends and pinpoint the drivers behind them; translate these insights into tactical solutions to improve our voicebot deliveries

• Becoming the domain champion of the product/function with a clear data-driven understanding of how callers interact with our voicebot

Benefits:

• 401(k)

• Stock options

• Unlimited vacation

• Healthcare (medical, dental, vision, gym reimbursement)

• Catered meals

Benefits:

• Health Insurance

• Work Anywhere Options

• Flexible Time Off

• Leading-edge Technology

• Never Stop Learning

Education Requirements:

• Bsc in a relevant field

Experience Requirements:

• 5 years of experience as a data scientist working on tabular data

• Proficient in Python, SQL, and Spark

• Experience in creating measurable value with ml (defining KPI’s, designing AB tests, monitoring)

• Experience with time series

• Experience with AWS / Databricks – advantage

Responsibilities:

• Work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business

• Continuously helping our clients achieve their business goals, and reinforce the value of Pecan’s modules, and the ease of use of our platform

• Handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more