Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. Insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.

The team: The team oversees the data, models, and relevant backend infrastructure responsible for modeling the global shipping market, monitoring movements, and commodity trades. The role is integral to this process, centered on the development of production-ready online NLP models designed to understand and interpret vital information within a variety of shipping reports. 

About the role: 

Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
• Creating Scalable Machine Learning systems .
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

MLE Skillsets needed:

•          Good exposure to Model development and deployment

•          Experience developing API’s

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!

What You'll Do:

• Collaborate with cross-functional teams to design and deploy ML models.
  
• Develop reusable, scalable code for AI/ML applications.
  
• Leverage GCP services to build end-to-end machine learning pipelines.
  
• Optimize models for performance and scalability using Vertex AI.

Requirements

Key Requirements:

WHO WE ARE

We are Harbor Lab, a forward-thinking B2B software startup dedicated to fostering trust within the maritime ecosystem. Our vision is to revolutionize the way Shipping Companies and Port Agents conduct their operations, leveraging transparency and innovation to optimize the maritime industry's last mile.  

At Harbor Lab, we're committed to be the preferred partner for all maritime operations, driven by our core values of ambition, trustworthiness, genuine care for people, and agility. We bring value to both sides of the equation by streamlining processes, reducing costs, and facilitating well-informed decision-making. Our ultimate goal is to build trust in the maritime ecosystem and transform the way maritime businesses operate.  

Harbor Lab has also been recognized as one of the Best Workplaces in 2021 & 2022 & 2023 by the Great Place to Work Institute.  

ABOUT THE ROLE

Port Analysis team’s primary objective is to disrupt & democratise how port expenses are logged, automate the process by generating Expenses algorithms for new Ports and keep existing Port Expenses algorithms up to date. Therefore, Port Analysis is the cornerstone of our Core Product.

SupportYourApp шукає до своєї команди досвідченого DevOps інженера, що допоможе підтримувати нашу інфраструктуру на найвищому рівні. Маєш від 3 років досвіду у системному чи мережевому адмініструванні та бажаєш стати частиною міжнародної команди? Тоді ми чекаємо саме на тебе!

Звучить цікаво? Далі більше 💛

Що ти будеш робити:

• Автоматизовувати процеси розробки та тестування (від створення нових до підтримки наявних проєктів);
• Будувати та підтримувати CI/CD процеси;
• Налаштовувати та контролювати системи моніторингу (Grafana, Prometheus, Nagios, ELK, Sentry);
• Підтримувати сервери у хмарі (від встановлення до патч-менеджменту та розв'язання технічних проблем);
• Працювати з базами даних (резервне копіювання, реплікація, профілювання запитів, усунення неполадок);
• Забезпечувати безпеку серверів та систем (виявлення та усунення вразливостей);
• Документувати та підтримувати інвентаризацію систем;
• Виявляти ініціативу у вдосконаленні інфраструктури та впроваджувати DevOps best practices;
• Менторити та підтримувати Junior-спеціаліста в команді.

Важливо та потрібно:

SupportYourApp шукає до своєї команди досвідченого DevOps інженера, що допоможе підтримувати нашу інфраструктуру на найвищому рівні. Маєш від 3 років досвіду у системному чи мережевому адмініструванні та бажаєш стати частиною міжнародної команди? Тоді ми чекаємо саме на тебе!

Звучить цікаво? Далі більше 💛

Що ти будеш робити:

• Автоматизовувати процеси розробки та тестування (від створення нових до підтримки наявних проєктів);
• Будувати та підтримувати CI/CD процеси;
• Налаштовувати та контролювати системи моніторингу (Grafana, Prometheus, Nagios, ELK, Sentry);
• Підтримувати сервери у хмарі (від встановлення до патч-менеджменту та вирішення технічних проблем);
• Працювати з базами даних (резервне копіювання, реплікація, профілювання запитів, усунення неполадок);
• Забезпечувати безпеку серверів та систем (виявлення та усунення вразливостей);
• Документувати та підтримувати інвентаризацію систем;
• Виявляти ініціативу у вдосконаленні інфраструктури та впроваджувати DevOps best practices;
• Менторити та підтримувати Junior-спеціаліста в команді.

Важливо та потрібно:

We are looking for a highly skilled Senior Systems Engineer with expertise in systems administration, cloud computing, virtualization, and backup solutions. In this role, you will work with various clients to design, implement, and manage robust IT systems and infrastructures, ensuring optimal performance, security, and disaster recovery.

• Design and implement enterprise-level IT systems across both on-premises and cloud environments, aligning technical solutions with business needs.
• Administer cloud platforms such as AWS, Azure, or GCP, deploying and optimizing cloud services, virtual machines, and storage solutions.
• Manage and troubleshoot virtualized environments using VMware, Hyper-V, or KVM, ensuring scalability and performance.
• Design and maintain backup strategies, ensuring reliable backups and a comprehensive disaster recovery plan.
• Monitor system performance, proactively resolving issues to maximize uptime and reliability.
• Implement security best practices, including user access controls, data protection, and compliance with security policies.
• Collaborate with cross-functional teams, maintaining detailed documentation of systems, architectures, and configurations.
• Provide technical support and guidance to clients, ensuring their infrastructure meets business requirements.

Requirements

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements