Tiger Analytics is looking for an experienced Principal Data Scientist 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:

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, 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.

About the role: 

We are looking for a Software Development Lead to take ownership of one of our product teams within the Signal Ocean SaaS web application. This team focuses on building scalable, reusable components and data-driven features, enabling users to visualize complex shipping information via charts, graphs, tables, maps, and more.

A key upcoming focus is the Next-Gen Vessel List, which integrates multiple data sources and connects with our new Supply Trend capabilities.

Tiger Analytics is looking for experienced Senior Data Scientists to join our 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 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.

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

InfyStrat is looking for a highly skilled Platform Engineer to join our engineering team. In this role, you will be responsible for designing, building, and maintaining the infrastructure and platforms that support our software applications. You will work closely with development teams to ensure that our platforms are scalable, reliable, and efficient. The ideal candidate will have a solid background in platform engineering and a passion for leveraging modern technologies to improve system performance and customer satisfaction. At InfyStrat, we value innovation, teamwork, and continuous improvement, and we are excited to welcome someone who shares these values.

Responsibilities

• Design and implement robust and scalable platform architectures to support application deployment.
• Monitor platform performance and troubleshoot issues to ensure high availability and reliability.
• Collaborate with software development teams to optimize applications for the platform.
• Automate infrastructure provisioning and management using DevOps tools.
• Implement security best practices to protect the platform and data.
• Stay current with emerging technologies and industry trends to continuously enhance the platform.
• Document platform architecture, processes, and configurations for internal knowledge sharing.

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.

This role will be responsible for Databricks Architecture, Designing and implementing best data practices.

Requirements

• Strong Experience in Data Architecture, specifically with Databricks Architecture.
• Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg.
• Strong MLOps & CI/CD Expertise
• Proficient in Python/Scala (Spark) for data governance, security, and enterprise data platform design.
• Databricks certifications and GenAI architecture experience preferred.

Key Responsibilities:

Job Description

Contract Period - 6 months extended

Role:Cloud Engineer

Experience: 4+ Years

Must have skills:

∙Strong understanding of IT infrastructure and operations.

∙Proficiency in Cloud hosting techniques.

∙Programming skills (e.g., Python, Java).

∙Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP).

∙Strong problem-solving and analytical skills.

∙LLM hosting and operations

∙Managing DevOps

Good to have Skills:

∙Ruby on Rails

∙Python

∙Kubernetes, Docker

∙Java

∙Nvidia H200 GPU handling

∙Azure DevOps

∙Azure Cosmos DB

∙Docker & Kubernetes containerization

Key responsibilities:

∙Assessing technology and preparing for cloud transformation

∙Optimizing the architecture before, during, or after cloud migrations

∙Developing systems for the cloud

∙Looking after cloud governance

∙Operating databases on the cloud

∙Implementing measures for cloud security

∙Managing and optimizing the use of cloud resources

USP of role: Exclusive experience of hyperscale cloud computing involving huge interaction with

partners, customer business, IT, and other stakeholders.

Tiger Analytics is looking for experienced Machine Learning Engineers 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 data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• 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

InfyStrat is seeking an experienced AI Platform Architect to join our innovative team. In this role, you will be responsible for the design, architecture, and implementation of AI platforms that drive data analysis and machine learning initiatives across our organization. You will work closely with data scientists, engineers, and business stakeholders to define AI strategies and ensure the successful deployment of AI solutions. The ideal candidate will have a strong background in AI technologies, cloud computing, and data architecture. We value creativity, strategic thinking, and a passion for pushing the boundaries of what technology can achieve. If you are looking to make a significant impact through AI and data-driven solutions, we invite you to apply.

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 someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

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: