Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Education Requirements:

• Graduate/Post Graduate in Engineering discipline from premium institute

Experience Requirements:

• Individual Contributor (4-8 yrs experience)

• Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data.

• Experience in developing training datasets for AI models and data labelling for supervised learning of AI models.

• Customer advisory experience preferably in data security domain

• Experience on with Excel as data analysis and reporting tool is required

Other Requirements:

• Excellent attention to detail

• Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus.

• Broad knowledge of operationalizing data security, regulations and standards will be an advantage

• Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills

• Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform

Responsibilities:

• Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies

• Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies

• Develop, curate and maintain training datasets for AI models

• Label large datasets for supervised learning of AI models

• Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives

Experience Requirements:

• 5-15 yrs of industry experience

• Proficient in advanced Java programming skills

• Experience working with large datasets and NoSQL database technologies (e.g. Cassandra, ES)

Other Requirements:

• Energetic self-starter, with a desire to work in a startup environment

• Expert in Application development cloud/on premise end to end. Middle layer, DB layer.

• Nice to have understanding on MQ (e.g. Kafka)

• Good hands on in Complex Event Processing systems

• Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time

• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)

• Experience developing RESTful APIs for complex data sets

• Knowledge of container based development & deployment (e.g. Dockers, K8s)

• Expertise in software security domain, a plus

Responsibilities:

• Experience working with large datasets and NoSQL database technologies (e.g. Cassandra, ES)

• Design, develop, code and test the solution

Benefits:

• Diversity

• Appreciation

• Equality

• Numerous training and development opportunities

• Flexible working hours (some positions)

Education Requirements:

• PhD in physics, mathematics, material sciences, electrical engineering or a related natural or technical science

• Master's/Diploma in natural sciences (e.g. Computer Science, Mathematics, Physics) or related field

• Bachelor's or Master's degree in informatics, mathematics, physics or engineering science

• currently enrolled in university scientific studies in aerospace/electrical engineering, computer science, or a comparable field

• advanced studies in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Data Sciences, or comparable programs

Experience Requirements:

• practical research experience (at least 3 years) in (Cyber) Security, e.g. through a doctorate or other demonstrable research activities

• experience in machine learning

• Experience with Front-End development

• 3D-Finite Element Modeling and Multiphysics Simulation

• extensive experience in programming a common language (Python, MATLAB, C/C++, etc.)

Other Requirements:

• good communication and cooperation skills

• proficiency in English (spoken and written)

• enthusiasm, motivation and creativity

• good expertise in object-oriented software development with C++ and Python

• previous contact with machine-learning frameworks (e.g., PyTorch, Tensorflow, Caffe, …)

• experience with image processing methods (e.g., OpenCV)

• good knowledge in creating 3D assets with Blender

• basic programming skills in Python, C++ or C#

• Initial practical experience developing applications in VR/AR environments

• Knowledge in software engineering

• Experience with Typescript or REST API

• Basic knowledge of modern cryptography, preferably with initial exposure to homomorphic encryption

• Good programming skills in languages such as Python and JavaScript

• Interest in cryptographic issues and working in security-critical areas

• Teamwork skills, independent working style, and commitment

• Fluent in German and English (spoken and written)

• very good Python skills (LangChain, Ollama, embeddings, Chroma, …)

• understanding of general aviation technology and flight operations

• knowledge and experience in the area of machine learning

• knowledge and experience in software engineering (e.g., Git, Unit Tests)

• travel readiness

• willingness for security check (if necessary)

Responsibilities:

• Development of new ML-models for pose estimation

• Evaluation of the robustness and reliability of ML-models

• Development and optimization of front-end components for managing data spaces

• Integration of interfaces for seamless data integration and presentation

• Development and implementation of user-centered UX/UI designs for data spaces

Education Requirements:

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

Experience Requirements:

• 5+ years of experience in a combination of software development, production operations, DevOps, infrastructure engineering, or security roles

Other Requirements:

• Strong application development experience in Javascript and Python, particularly with RESTful API design and development using a service-oriented architecture

• Strong experience with cloud platforms (AWS, GCP, or Azure)

• Proficiency in container orchestration technologies (e.g., Kubernetes, Docker)

• Solid understanding of CI/CD pipelines and automation tools (Github Actions, ArgoCD, Jenkins, GitLab CI, etc.)

• Experience with infrastructure as code (Terraform, Ansible, etc.)

• Hands-on experience with monitoring and logging tools (Datadog, Prometheus, Grafana, ELK stack, etc.)

• Strong experience with Bash, and other similar scripting languages

• Solid understanding of frontend frameworks, particularly React, and their interaction with backend services

• Strong problem-solving skills and attention to detail

• Experience in handling large-scale distributed systems

Responsibilities:

• Software Development and Operations

• System Monitoring & Maintenance

• Infrastructure Automation

• Incident Management & Troubleshooting

• Performance Optimization

Education Requirements:

• Currently pursuing a Bachelor's degree in Computer Science or a related field

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• Familiarity with agile development methodologies

• Ability to work in a fast-paced and dynamic environment

• Detail-oriented with good organizational skills

• Proficiency in common office software (e.g., Microsoft Office, Google Workspace)

• Proactive, self-starter approach to professional delivery

• Understanding of basic project management concepts

Responsibilities:

• Product Support and Documentation

• Market Research and Customer Insights

• Cross-Functional Collaboration

• Product Testing and Quality Assurance

• Customer Support and Feedback

Benefits:

• Medical Insurance

• Generous Leave Policy

• Employee Referral Program

• Fitness Reimbursement

Benefits:

• Medical Insurance

• Generous Leave Policy

• Employee Referral Program

• Fitness Reimbursement

Experience Requirements:

• 5+ years

Other Requirements:

• In-depth knowledge of security best practices including database encryption, column level encryption, SSL/TLS connection encryption, and service specific account permissions

• Experience with Azure databases specifically Azure Postgres

• Good understanding of DevOps and the role of database administration teams in DevOps

• Experience performing database deployments (CI/CD)

• Advanced knowledge of performance tuning and administration, query analysis, performance monitoring and tuning, and maintenance routines

• Experience with data warehouse and reporting technologies (specifically Power Bi) a plus

• Background in automating processes

• Experience with creating and maintaining database infrastructure

Responsibilities:

• Administers, manages, and monitors all systems, including databases, in development, test, stage and production environments

• Design and implementation of Azure Postgres databases, high-availability solutions, replication, encryption, and disaster recovery solutions

• Manage secure access to DB inclusive of DBA

• Data sharing/Partitioning, Purging and Archiving solutions in the Azure PostgreSQL ecosystem

• Azure CLI and/or PowerShell

Education Requirements:

• B.Sc. or higher in Computer Science or similar

Experience Requirements:

• 15+ years of experience developing backend systems with passion for excellence

• 10+ years of experience in Python

• 5+ years of experience with tools such as containers, CI/CD, testing / monitoring / logging

• Experience with REST APIs, server-side API integration, queues and distributed systems

• Knowledge of ORM, SQL and Data Modeling

Responsibilities:

• Help us build a world class scalable backend platform

• Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature

• Take part in architecture design and technological leadership

Education Requirements:

• B.Sc. or higher in Computer Science or similar

Experience Requirements:

• 10+ years of experience developing backend systems with a passion for excellence

• 5+ years of experience in Python

• 5+ years of experience with tools such as containers, CI/CD, testing/monitoring / logging

• Experience with REST APIs, server-side API integration, queues, and distributed systems

• Knowledge of ORM, SQL, and Data Modeling

Responsibilities:

• Help us build a world class scalable backend platform

• Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature

• Take part in architecture design and technological leadership

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 5+ years experience as a Machine Learning Engineer

• 10+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design patteri

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Hands-on experience designing, training, and deploying machine-learning models

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 10+ years experience as a Machine Learning Engineer

• 15+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design pattern

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Experience with REST APIs, server-side API integration, queues and distributed systems

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

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

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Responsibilities:

• Develop and maintain integration solutions

• Collaborate with cross-functional teams

• Ensure high-quality code

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Experience Requirements:

• 1-3 years

Responsibilities:

• Ensure that our systems are secure, scalable, and always available to clinicians and patients

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Responsibilities:

• Research and development for various fundamental algorithms

• Analyze and interpret healthcare data

• Develop and improve AI models

Benefits:

• Strong technical culture of continuous innovation and improvement

• Flexible holidays & Insurance for you and your loved ones

Experience Requirements:

• 6+ years of strong experience in data mining, machine learning and statistical analysis

• Experience in productizing models to code in fast paced start-up environment

Other Requirements:

• Fluency in tools such as Python, Jupyter Lab / Notebook and libraries such as scikit-learn, pandas, plotly, numpy, keras, etc.

• Experience of interfacing with popular frontends and back-end built in Python

• Strong intuition for data and keen aptitude on large scale data analysis

• Strong communication and collaboration skills

• Exposure to clean energy solutions in solar, wind and energy storage would be preferred but is not essential. Exposure to time-series data and analysis would be preferred.

• Passionate about a clean energy future

• Innovative – you challenge the status quo and find creative solution to problems

• Resilient – you enjoy meeting challenges head on and persist till we find a scalable solution

• Data driven – you understand the importance of data in decision making

• Methodical and team player

Responsibilities:

• Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data.

• Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches.

• Productize proven or working models into production quality code

• Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions

• Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers

Benefits:

• Medical insurance

• Unlimited vacation time for exempt employees

• Competitive salary & stock options

• Commuter benefits

Experience Requirements:

• Experience managing high performing and diverse software engineering teams

• Familiarity with full stack development, especially with Typescript and React

• Ability to work in a fast pace and navigate ambiguous situations at a startup

• Previous experience working as a frontend or full stack engineer and technical leader

• Strategic instincts and the ability to do the best thing for the company overall

Responsibilities:

• Manage, lead, and mentor engineers on the product engineering team

• Work closely with Engineering, GTM, Design and PM leadership to plan product strategy and build novel products

• Drive execution of software development, fostering a culture of innovation and collaboration

• Provide hands-on technical leadership to ensure a cohesive product experience and the right technical abstractions

• Work with enterprise customers to understand their needs and execute quickly