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

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

Benefits:

• Autonomy and Ownership

• Smart, Humble and Friendly peers

• Competitive remuneration package with equity options

• Generous vacation

• Maternity and Paternity leaves

Experience Requirements:

• Minimum 3 years of experience in Web Application Development

Other Requirements:

• Understanding of engineering best practices, frontend design principles, interface guidelines and principles of system design

• Proficiency with any part of our technology stack: React, TypeScript, Tailwind, Next.js, Graphql

• Experience with network communications on web platforms, making synchronous and asynchronous web service calls

• Hands-on experience in using versioning systems like Git

• Experience working with CI/CD pipelines

• Experience with automated test suites

• Strong interpersonal skills and a desire to work collaboratively to achieve objectives

• Excellent organisational and analytical abilities

Responsibilities:

• Working closely with founders to build the frontend and iterate product features at a rapid pace

• Identifying and driving innovative solutions to address the most critical needs of our customers

• Work in close collaboration with cross-functional partners in data science, design and backend functions

• Drive architectural changes on frontend architecture by profiling, improve UX, and build with the design system

• Constantly improve our live site with frontend monitoring and automation Build accessible experiences sensitive to the needs of all users

Benefits:

• Autonomy and Ownership

• Competitive Compensation

• Cabs to-fro office, food at office

Experience Requirements:

• Minimum of 6 years in product design roles, with at least 2 years in a leadership position

Other Requirements:

• Proven ability to lead and inspire design teams, with a track record of building successful design departments

• Comfortable with rolling up your sleeves to contribute directly to design projects

• Deep understanding of user-centered design principles and a passion for creating products that solve real customer problems

• Ability to translate business objectives into innovative design strategies

• Thrives in a fast-paced, dynamic startup environment with changing priorities

Responsibilities:

• Lead the design of innovative and intuitive product experiences from concept to launch

• Collaborate closely with product management and engineering teams to ensure design feasibility and consistency

• Stay actively involved in design tasks to set quality benchmarks and lead by example

• Build, mentor, and lead a high-performing product design team

• Foster a collaborative and creative environment that encourages professional growth and excellence Establish design processes and best practices to enhance efficiency and output quality Champion a user-first mentality, ensuring customer feedback and user research inform design decisionsConduct user research and usability testing to gather insights and validate design conceptsAdvocate for the user's needs and experiences across the organizationDevelop and communicate a compelling design vision that aligns with Enterpret's mission and strategic objectivesDrive the evolution of our design language and ensure its consistent application across all productsDesign innovative solutions for new-age AI agentic applications, pushing the boundaries of user experience in the AI domainIdentify opportunities for innovation in design to differentiate Enterpret in the market

Benefits:

• Autonomy and Ownership

• Competitive Compensation

• Cab to-fro office, food at office

Experience Requirements:

• Minimum of 8 years in software engineering roles with at least 3 years in leadership positions

• Proven experience in building and scaling backend engineering teams, preferably in a startup environment

• Experience with seed/Series A/B startups or being a founder/co-founder is highly desirable

Other Requirements:

• Strong background in backend development and system architecture

• Hands-on experience with backend technologies and frameworks

• Demonstrated ability to lead, mentor, and inspire backend engineers

• Experience in managing backend ICs and driving technical excellence

• Experience in managing and optimizing spend on SaaS platforms

• Ability to align backend technical initiatives with business goals

• Proficient in strategic planning and execution for backend projects

• Strong verbal and written communication skills

• Ability to effectively convey technical concepts to diverse audiences

• Proactive in identifying and addressing challenges

• Skillful in decision-making and conflict resolution

• Thrives in a fast-paced, dynamic environment

• Open to embracing new ideas and backend technologies

Responsibilities:

• Recruit, onboard, and mentor backend engineers

• Foster a culture of accountability, continuous learning, and professional growth

• Manage a team of backend ICs, providing guidance and support

• Conduct regular performance reviews and provide constructive feedback

• Identify and nurture talent within the team Encourage skill development and career progression for team membersOversee and optimize the company's spend on SaaS platforms and services like OpenAI, Anthropic, AWS, SnowflakeEvaluate and implement cost-effective solutions without compromising on qualityManage relationships with SaaS vendorsNegotiate contracts and ensure alignment with company needs and budgetsIdentify opportunities to reduce costs through consolidation or alternative solutionsImplement monitoring and reporting mechanisms to track SaaS usage and expensesScale culture aligned with Enterpret’s core values and operating principlesPromote a positive and inclusive team culture that values collaboration and open communicationMediate conflicts effectively, ensuring healthy team dynamics and project progressWork closely with Product, Design, and Frontend teams to align backend engineering efforts with company objectivesCommunicate effectively with technical and non-technical stakeholdersPresent technical ideas and concepts in a clear and accessible mannerRegularly assess backend team capabilities and identify areas for improvementDevelop strategies to address weaknesses and optimize team performanceEncourage the team to embrace change and drive innovation in backend technologiesStay abreast of industry trends and emerging backend technologies