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:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Education Requirements:

• Masters / Bachelors degree in computer science or equivalent

Experience Requirements:

• 2+yrs of exp in Java, JavaScript, and/or Groovy Scripting

Responsibilities:

• Be responsible for configuring cognitive modules of Amelia – or creating new customized modules with help of Product Engineering – to ensure Amelia can address required functionality

• Review outcome of the Transversal Analysis and target Architecture blueprint

• Configure (‘train’) Amelia for the agreed use cases

• Test Amelia against concrete cases and implement refinements

• Discuss with Technical Architect and Cognitive Project Leads approaches to each technical challenge and agree on technical solution

Benefits:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Education Requirements:

• Ph.D. in Computer Science with at least 8 years of relevant, hands-on industry experience, or have a Master’s degree with 12 years of relevant, hands-on industry experience plus

Experience Requirements:

• proven track record of impactful research and development in Machine Learning and ASR, with a portfolio of publications and projects that showcase your expertise

• highly skilled in deep learning frameworks (e.g., TensorFlow, PyTorch) and experienced in training large-scale models

• strong programming abilities in Python and C++

Other Requirements:

• adept at solving complex problems and developing innovative solutions in conversational AI

• passionate about staying at the cutting edge of AI research and are driven to push the boundaries of what's possible in conversational AI

• excellent in teamwork and communication, collaborating seamlessly with cross-functional teams

Responsibilities:

• Lead innovation and advancements in the core architecture of Automatic Speech Recognition (ASR) and wake word technologies.

• Spearhead cutting-edge research in Machine Learning (ML), focusing on wake word, ASR, natural language understanding, dialogue generation, and context-aware conversational systems.

• Develop novel algorithms and models to improve the performance and intelligence of our wake word product and ASR solutions.

• Train and optimize large-scale deep learning models for ASR and wake word products.

• Collaborate with cross-functional teams, including machine learning engineers, software engineers, and product managers, to transform research insights into real-world solutions.

Benefits:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Education Requirements:

• 5+years of exp in software/product quality testing and 3+ years in building and enhancing test automation frameworks

Experience Requirements:

• technical Skills: * Hands-on experience with JavaScript (1+ years). * Proficiency in automated testing tools/frameworks like Playwright. * Experience with API testing and load testing tools such as JMeter or equivalent.

• fluent English, with strong technical writing and communication skills

• exceptional analytical and troubleshooting skills, with a proactive approach to resolving complex issues

• advanced knowledge of Playwright and are familiar with jBehave and Java

• experience with Agile testing methodologies, DevOps, and continuous testing practices

Other Requirements:

• understanding of the ITIL framework and IT Service Management

• self-starter who is eager to learn and thrives in a fast-paced, dynamic environment

• strong organizational skills, are able to manage competing priorities and work independently

• demonstrated the ability to collaborate effectively with globally distributed teams

• sense of ownership and accountability, with the ability to deliver results under tight deadlines

Responsibilities:

• Design, develop, and enhance test automation frameworks and scripts to support scalable and efficient testing processes.

• Partner with developers, product owners, and other stakeholders to define test requirements, objectives, and coverage plans.

• Perform UI and API testing using tools such as Playwright, ensuring robust verification of product functionality and integration.

• Utilize tools like JMeter or equivalent to assess and optimize system performance under various conditions.

• Contribute to Agile workflows, supporting continuous testing practices and quality improvements throughout the development lifecycle.

Benefits:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Education Requirements:

• Bachelor's Degree in Computer Science with 10-12 years of relevant work experience

Experience Requirements:

• strong hands-on programming skills in C++

• proficient in Linux and well versed in using Linux command line tools

• knowledge in at least one scripting language (e.g. Python, Bash, etc with Python being preferred)

• proficiency in writing SQL queries, and have experience using relational databases such as MySQL or PostgreSQL

• experience working with distributed systems

Other Requirements:

• familiar with backend development

Responsibilities:

• Leverage advanced algorithms and data insights to transform user interactions with music

• Have the opportunity to shape the future of the project and its direction

• Develop leadership skills and contribute to team growth

• Enhance and innovate state-of-the-art music solutions

• Hire and organize the work of additional team members

Education Requirements:

• Bachelors Degree in Computer Science and atleast 2 years experience as a Software Engineer OR a Master Degree in Computer Science

Experience Requirements:

• excellent coding skills in C++ and at least one scripting language

• design unit and integration tests and maintain rigorous standards for code quality

• speak Telugu on a native-like level and are fluent in English

• passionate about working at the intersection of software engineering and linguistics

• experience designing efficient architectures, algorithms, and interfaces

Other Requirements:

• enjoy working on complex, open-ended challenges and improving existing solutions

• comfortable working in a Linux environment

• BS in Computer Science (or equivalent experience)

Responsibilities:

• Simultaneously leverage your coding skills and your knowledge of the Telugu language

• Develop Conversational AI leveraging a powerful domain-oriented development paradigm

• Implement and scale core code base, solving both algorithmic and design challenges

• Write code that interacts with third-party API’s

• Collaborate closely with engineers who are building similar features for a variety of languages

Benefits:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Education Requirements:

• Ph.D. in Computer Science with at least 8 years of relevant, hands-on industry experience, or have a Master’s degree with 12 years of relevant, hands-on industry experience plus

Experience Requirements:

• proven track record of impactful research and development in Machine Learning and ASR, with a portfolio of publications and projects that showcase your expertise

• highly skilled in deep learning frameworks (e.g., TensorFlow, PyTorch) and experienced in training large-scale models

• strong programming abilities in Python and C++

• adept at solving complex problems and developing innovative solutions in conversational AI

• passionate about staying at the cutting edge of AI research and are driven to push the boundaries of what's possible in conversational AI

Other Requirements:

• excellent in teamwork and communication, collaborating seamlessly with cross-functional teams

Responsibilities:

• Lead innovation and advancements in the core architecture of Automatic Speech Recognition (ASR) and wake word technologies.

• Spearhead cutting-edge research in Machine Learning (ML), focusing on wake word, ASR, natural language understanding, dialogue generation, and context-aware conversational systems.

• Develop novel algorithms and models to improve the performance and intelligence of our wake word product and ASR solutions.

• Train and optimize large-scale deep learning models for ASR and wake word products.

• Collaborate with cross-functional teams, including machine learning engineers, software engineers, and product managers, to transform research insights into real-world solutions.

Benefits:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Education Requirements:

• Masters / Bachelors degree in computer science or equivalent

Experience Requirements:

• knowledge of Java, Javascript, and/or Groovy Scripting

Responsibilities:

• Be responsible for configuring cognitive modules of Amelia – or creating new customized modules with help of Product Engineering – to ensure Amelia can address required functionality

• Review outcome of the Transversal Analysis and target Architecture blueprint

• Configure (‘train’) Amelia for the agreed use cases

• Test Amelia against concrete cases and implement refinements

• Discuss with Technical Architect and Cognitive Project Leads approaches to each technical challenge and agree on technical solution

Benefits:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Experience Requirements:

• proficiency in troubleshooting Java-based applications, including experience with JVM optimization, garbage collection tuning, and interpreting Java exceptions or memory errors

• proficiency in scripting languages such as Bash, Perl, and/or Python, with a focus on automating tasks, resolving issues, and optimizing system performance

• familiar with voice technologies and protocols such as SIP, RTP, VoIP, and codecs

• possess a strong understanding of network troubleshooting related to voice applications, including knowledge of network protocols (TCP/IP, UDP), packet capture tools, and network latency analysis

• hands-on working knowledge of Freeswitch configuration, troubleshooting, and scripting (XML dial plans and configuration files, MRCP profiles, SIP profiles, LUA scripting)

Other Requirements:

• familiarity with SQL to address database-related issues within the Java application, such as troubleshooting query performance and database connectivity

• strong analytical skills to diagnose complex issues, perform root cause analysis, and resolve advanced problems efficiently

• ability to document troubleshooting steps and solutions clearly, share insights with Level 1 support, and communicate technical information effectively with users and team members

• minimum 4 years of experience in application management and troubleshooting or similar field

• prior experience in technical support or administration of voice, VoIP, or telephony systems is highly advantageous

• knowledge of IT Service Management (ITSM) frameworks and ITIL practices for advanced incident, problem, and change management

• familiarity with ticketing software (e.g., JIRA, ServiceNow) and monitoring tools such as Zabbix, Grafana, Prometheus or similar for system and network performance

Responsibilities:

• Address escalated issues from Level 1 support. Use advanced troubleshooting skills to diagnose issues with java applications, database, network connection, high availability, voice services, application performance, and connectivity.

• Investigate deeper technical issues specific to the Java runtime and Linux environment, including JVM tuning, memory management, thread analysis, and file permissions. Resolve complex issues related to application service failures, dependencies, and configuration settings.

• Knowledge of working on Kubernetes based application deployment and troubleshooting.

• Diagnose and resolve issues related to voice quality, latency, jitter, packet loss, SIP protocol errors, and connectivity within VoIP and telephony applications. Utilize voice network knowledge to address audio-related problems, including codec mismatches and session setup failures.

• Monitor the application’s performance, using tools such as Zabbix, Nagios, Prometheus, etc. and scripts to detect potential issues with CPU, memory, and network utilization that might impact voice quality or application stability. Identify trends and potential areas for optimization.

Benefits:

• Competitive Salary

• Team Events & Happy Hours

• Comprehensive Medical Insurance

• Employee Recognition

• Equity Plans

Education Requirements:

• proven experience as an office administrator, office assistant or relevant role

• Masters / Bachelor’s degree or relevant field is preferred

Experience Requirements:

• outstanding communication and interpersonal abilities

• excellent organizational and leadership skills

• familiarity with office management procedures and basic accounting principles

• excellent knowledge of Google Suite, MS Office and office management software (ERP etc.)

• 5+ years of experience in relevant field

Other Requirements:

• Ability to handle sensitive and confidential information and situations

• High level of demonstrated poise, tact and diplomacy

Responsibilities:

• Coordinate office activities and operations to secure efficiency and compliance to company policies

• Supervise administrative staff and divide responsibilities to ensure performance

• Manage agendas/travel arrangements/appointments etc. for the upper management

• Manage phone calls and correspondence (e-mail, letters, packages etc.)

• Support budgeting and bookkeeping procedures

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:

• 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:

• 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