Responsibilities:

• Define Product Vision and Roadmap - Create and communicate a compelling long-term vision for the Account Execution and Opportunity Execution product.

• Lead Cross-Functional Development - Collaborate with engineers, data scientists, and designers to build AI-driven Account Execution and Opportunity Execution features.

• Drive User-Centric Design - Conduct user research to understand the specific needs and pain points of sales teams and revenue leaders.

• Coordinate Stakeholder Alignment - Manage trade-offs between user needs, technical constraints, and business objectives to deliver a balanced solution.

Responsibilities:

• Design and implement core backend services and data pipelines.

• Ensure high data quality and accuracy of generated insights

• Document design choices and operational knowledge to successfully deploy and run services.

• Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.

• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Responsibilities:

• Improve and optimize critical LLM inference pipelines to generate high-quality deal assessments while maintaining cost efficiency.

• Develop and implement new AI features, such as integrating external data sources (e.g., company news) into deal risk assessments.

• Enhance monitoring systems to improve pipeline visibility, accelerate debugging, and reduce failure resolution time by 50%.

• Scale inference pipelines effectively to handle increased volumes, targeting 5 million AI-generated insights monthly.

• Write clean, maintainable, and well-documented code, following engineering best practices.

Responsibilities:

• Develop and maintain Vue.js 3 projects using the Composition API with HTML, CSS (TailwindCSS), and Vue 3.

• Adapt Figma designs into fully functional Vue components with precision.

• Build and optimize frontend architectures and design systems.

Benefits:

• Time flexibility

• Earn more with minimal effort

• Instant support

• Build a personal brand

• Top choice badge based on scoring parameters

Experience Requirements:

• Has 4-6 years of experience as an HR Business Partner in a technology or ITeS firm.

• Has experience in onboarding and off-boarding employees.

• Has experience in running appraisals for teams across engineering, GTM, and finance.

• Has experience in mediating conflicts, drafting complaints, and disciplinary actions.

Responsibilities:

• Setting up an HRMS and onboarding the entire team of Tune AI to it.

• Setting up company policies and ensuring all relevant systems reflect the same.

• Setting up 360 degree feedback mechanisms for employees and leaders.

• Lead appraisals, performance management and reviews.

• Work with hiring managers to set up an effective onboarding and ramp-up process for new hires. Ensuring regulatory compliance like labour laws, POSH, ESI, PT, etc. Ensuring proper payroll each month as well as adherence to policies based on employment contracts. Leading talent acquisition from sourcing to offer letter. Be a trusted advisor to the founding team on matters related to industry standards.

Education Requirements:

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience.

Responsibilities:

• Lead the design, development, and implementation of machine learning models, AI algorithms, and Large Language Models (LLMs) for various business applications.

• Collaborate with cross-functional teams (product, engineering, business) to understand the problem domain and define model objectives.

• Analyze large datasets to identify patterns, trends, and insights, and use these findings to develop predictive models and actionable business solutions.

• Build, test, and refine machine learning models using state-of-the-art techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP).

• Develop and optimize LLMs (e.g., GPT, BERT, etc.) to improve language understanding, text generation, and other NLP applications.

Education Requirements:

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

Experience Requirements:

• 5+ years of hands-on experience in machine learning, with a focus on anomaly detection.

Responsibilities:

• Develop and implement machine learning models focused on anomaly detection in industrial IoT data.

• Design algorithms for predictive maintenance and condition monitoring.

• Work closely with data engineers to create robust data pipelines for real-time analytics.

• Analyze large datasets, extract insights, and provide actionable recommendations.

• Optimize models to improve detection accuracy and reduce false positives.

Experience Requirements:

• over 15 years of experience

Responsibilities:

• Lead the design and architecture of complex Oracle solutions, including Oracle ERP, Oracle Cloud, Oracle E-Business Suite, and other Oracle applications.

• Develop comprehensive solution architectures that address business requirements, ensuring scalability, reliability, and security.

• Collaborate with business stakeholders to understand their needs and translate them into effective Oracle solutions.

• Oversee the delivery of large-scale Oracle implementation projects, managing all aspects of the project lifecycle from initiation to closure.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Experience Requirements:

• 5+ years of experience in building conversational AI systems.

Responsibilities:

• Develop and deploy conversational AI systems, including ChatGPT-style interfaces, for industrial use cases.

• Fine-tune Large Language Models (LLMs) for domain-specific applications.

• Work with cross-functional teams to integrate AI-driven interfaces into existing systems.

• Create intuitive, user-friendly chat interfaces that provide actionable insights from IoT and ML systems.

• Optimize and test conversational models for performance and reliability.

Benefits:

• Competitive salary

• Interesting project

• Healthy team relationships

Experience Requirements:

• experience with OCT interpretation

Responsibilities:

• share their knowledge with eye care professionals community

• review OCT scans helping eye care specialists with more accurate diagnostics

Education Requirements:

• Master’s degree

Experience Requirements:

• Excellent knowledge of data entry software

• Exceptional organizational skills, a keen eye for detail, and the ability to spot errors with accuracy and efficiency

• Excellent typing skills and experience working with Windows, Microsoft Office, and Google Suite

Responsibilities:

• Data Tagger jest odpowiedzialny za ręczne oznaczanie danych tekstowych i wideo w celu opracowania i wdrożenia zautomatyzowanego systemu analizy sesji diagnostycznej między pacjentem a lekarzem.

Education Requirements:

• Computer science, mathematics, statistics or a related degree;

• Master’s degree in machine learning, neural networks, deep learning or related fields;

Experience Requirements:

• Experience in image processing with OpenCV and Computer Vision

• Analytically way of meaning and understanding of mathematical models

• Working with mathematical packages as R package, Matlab or Octave

• CNN (Convolutional Neural Network), training Histogram Oriented Gradients object detectors

• Convolutional Neural Network object detectors, unsupervised and semi-supervised learning, sequence-to-sequence models based on recursive / recurrent neural networks.

Responsibilities:

• Specjalista ds. Analizy Danych odpowiadają za analizę, interpretację i wizualizację danych.

• Jego głównym zadaniem jest wydobywanie wartościowych informacji z danych, które mogą przyczynić się do poprawy jakości algorytmów ML oraz do osiągnięcia celów projektu, oraz implementacja zaawansowanych modeli statystycznych.

Education Requirements:

• Master’s or doctorate in mathematics, statistics or computer science

Experience Requirements:

• A combination of mathematical and statistical knowledge, programming expertise, as well as analytical skills including familiarity with ML, software development, Hadoop, Java, data mining/data warehouse, data analysis and Python.

Responsibilities:

• Główny Inżynier ds. Uczenia Maszynowego pełni kluczową rolę w projekcie odpowiadając za kierowanie i nadzorowanie wszystkich aspektów związanych z uczeniem maszynowym i rozwojem oprogramowania.

• Jego głównym zadaniem jest zapewnienie, że algorytmy ML rozwijane są z najwyższą jakością, spójnością i zgodnie z najnowszymi standardami.

Education Requirements:

• Computer science, mathematics, statistics or a related degree

• Master’s degree in machine learning, neural networks, deep learning or related fields

Experience Requirements:

• Be proficient in coding languages such as HTML, CSS, JavaScript, and jQuery

• Understand server-side CSS.

• Be experienced with graphic design applications (e.g., Adobe Illustrator)

• Understand the principles of SEO

• Have excellent skills in problem-solving

Education Requirements:

• Computer science, mathematics, statistics or a related degree i.e. engineer

Experience Requirements:

• Excellent knowledge of data entry software, such as Ninox, Kintone, and OmPrompt Order Management or similar software

• Exceptional organizational skills, a keen eye for detail, and the ability to spot errors with accuracy and efficiency

• Excellent typing skills and experience working with Windows, Microsoft Office, and Google Suite

Responsibilities:

• Transkryptor Nagrań Audio pełni kluczową rolę w projekcie.

• Jego głównym zadaniem jest zapewnienie, że wszystkie informacje zawarte w nagraniach są dokładnie i precyzyjnie transkrybowane, co jest niezbędne do dalszej analizy i przetwarzania danych.

Education Requirements:

• Computer science, cloud, dockers, devops skills or a related degree;

Experience Requirements:

• Certification (e.g. CCNS, CISSP, MCSE) or similar skills

Responsibilities:

• Inżynier DevOps wykonuje zadania zarówno z zakresu inżynierii oprogramowania, jak i uczenia maszynowego.

• Jego głównym zadaniem jest tworzenie, wdrażanie i monitorowanie infrastruktury niezbędnej do efektywnego rozwijania i wdrażania modeli ML, a także zapewnienie ciągłości pracy i skalowalności rozwiązań.

Experience Requirements:

• 5+ years of technical recruiting experience, with demonstrated success hiring for ML/AI or highly technical roles.

• Experience building and implementing HR processes in a fast-growing environment.

Responsibilities:

• Develop and execute talent acquisition strategies for specialized ML, data science, and software engineering roles.

• Source, screen, and evaluate candidates with advanced mathematical and technical competencies.

• Administer technical screening processes including custom assessments.

• Coordinate and improve the technical interview process, working closely with engineering leadership.

• Build and maintain a pipeline of candidates with specialized skills, particularly in ML engineering.