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

Education Requirements:

• Praktisk erfaring med Power BI fra et tidligere studiejob eller studieprojekt

• Stærk forståelse for datamodellering og visualisering

Experience Requirements:

• Relevant experience from previous part-time jobs or academic projects.

• Solid understanding of data modeling and visualization.

• Experience with Excel and VBA is a plus but not a requirement.

• Knowledge of SAP/SAC is beneficial but not mandatory

Other Requirements:

• Analytisk og detaljeorienteret

Responsibilities:

• Udvikling og optimering af Power BI-rapporter

• Struktureret datamodellering og visualisering af data

• Sikring af, at rapporter giver et klart beslutningsgrundlag

• Optimering og automatisering af processer – gerne ved brug af Excel og VBA

• Understøttelse af vores arbejde med SAP/SAC

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development, with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups. Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Experience Requirements:

• 8+ years of hands-on experience with PySpark and strong knowledge in Python programming language

Other Requirements:

• DevOps (Docker/k8s exposure)

Responsibilities:

• Strong proficiency in developing data solutions using Python (OOP).

• Solid understanding of distributed computing concepts and hands-on experience with PySpark.

• Familiarity with PySpark performance tuning will be an added advantage.

• Familiarity with data warehousing solutions and best practices.

• Proficient in SQL with the ability to optimize queries for performance & proficient in database management and data modelling. Good to have working knowledge of Spark Streaming and Apache Kafka. Cloud Computing Experience. AWS exposure would be helpful (services like EMR, s3, Athena, Lambda, Sagemaker etc)

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

Experience Requirements:

• 15+ years of engineering experience with at least 5 years in a leadership role in analytics programs

• Demonstrable experience leading teams to deliver best-in-class, customer-facing analytics products to enterprise customers

• Proven track record of leading and scaling high-performing engineering teams

• Expertise with cloud platforms (e.g., AWS, GCP, Azure) and analytics tools (e.g., Tableau, Power BI)

• Experience in data warehousing, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka).

Other Requirements:

• Proficiency in programming languages such as Java, Python, or Scala

Responsibilities:

• Oversee the design, development, and maintenance of data pipelines, data warehouses, and analytics platforms.

• Ensure the reliability, scalability, and security of analytics infrastructure.

• Evaluate and implement new technologies and tools to enhance analytics capabilities.

• Help define and implement the analytics infrastructure and engineering strategy, concentrating on scalable data architecture, robust analytics frameworks, and the integration of advanced machine learning capabilities.

• Collaborate with senior product leadership to identify and prioritize analytics initiatives that drive business value.

Benefits:

• Great Company Culture

• Bring your whole self to work

• Rest and Relaxation

• Health Benefits

• Keep learning

Education Requirements:

• You have a technical degree and/or background (CS, EE, ME, Physics etc.) ideally with engineering experience

Experience Requirements:

• 8+ years experience as a product manager or related position, where you've built and launched products with highly cross-functional teams

• At least 5 years experience working in SaaS product management

• Strong bias for action and an intrinsic ability to deal with ambiguity

• Solid understanding of customer needs and experience acting as a customer advocate

• Proven record of delivery and building amazing things that you are proud of in a business setting

Other Requirements:

• You have a proven track record of delivering Software as a Service and/or cloud platform products, driving product reliability and success in a global, cross-functional environment

• You have a technical background with experience in building highly scalable, extremely reliable services

• You are a strategic thinker with strong leadership skills, and a customer-focused mindset.

• An excellent communicator both written and verbal Qualification

• Ability to support 25% US time zones coverage

Responsibilities:

• Lead and mentor the India-based Product Management team, fostering a high-performing, collaborative, and innovative culture.

• Work closely with the Head of Product Management to align goals, priorities, and strategies for the team.

• Serve as the primary point of contact for India-based Product Managers, ensuring clear communication and accountability.

• Drive the strategic vision and roadmap for solutions, ensuring alignment with organizational goals and customer needs.

• Oversee the development of reliable, scalable, and repeatable product solutions that enhance customer satisfaction and operational efficiency.

Benefits:

• 0.1% - 0.5%

Experience Requirements:

• 3+ years

Benefits:

• 0.15% - 0.75%

Experience Requirements:

• 3+ years

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

Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes

Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes

Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes

Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes

Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes

Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes