Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) 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.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

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

Key Responsibilities-

Tiger Analytics is looking for experienced Data Scientists GenAI 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.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Responsibilities:

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.

Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.

The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.

Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.

Requirements

The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.

Responsibilities:

Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS

Location: Remote - Singapore

Remote | Full-time

Compensation: $60K - $80K

We are hiring on behalf of our client who is a high-growth financial technology firm focused on the next generation of digital dollar infrastructure. Backed by premier venture capital firms, including Paradigm and Dragonfly, the organization is building a full-service platform designed to make issuing, managing, and integrating stablecoins seamless for developers, fintechs, and global institutions.

The organization operates with the discipline of a high-performance finance team and the agility of a crypto-native startup. To support their expanding global footprint, the firm is seeking a FinOps Analyst. This individual will play a vital role in delivering best-in-class operations across product lines, spanning asset issuance, reconciliation, and strategic projects.

This is a hands-on role requiring a high bar for excellence, an instinct for questioning assumptions, and the drive to take ownership of complex, high-impact workflows.

Key Responsibilities

Location: Remote - Remote within US

Remote | Full-time

Compensation: $135K - $150K

We are hiring on behalf of our client who is a fast-growing software organization dedicated to the development and support of a leading open-source, proof-of-stake decentralized platform. This EVM-compatible network is engineered for enterprise and Web3 applications, prioritizing speed, security, and sustainability through a governance model that includes industry leaders across multiple sectors and regions.

The Developer Relations Engineer – Education Lead will be responsible for scaling how developers learn, build, and deploy on this ecosystem. The primary objective is to transition from ad-hoc resources to structured, outcome-driven learning experiences that guide developers from first interaction to production. This role is pivotal in ensuring that developer education serves as a high-impact growth lever, accelerating onboarding and increasing the number of successful deployments on both testnet and mainnet.

Key Responsibilities

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 has been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced AI & Analytics Consulting Manager to lead workflow automation and business transformation initiatives across domains such as Operations and Finance using AI agents, process orchestration platforms, and advanced analytics solutions. This is a highly client-facing consulting role that requires exceptional stakeholder management, strong communication and presentation skills, and the ability to work closely with business leaders to translate operational challenges into scalable AI and automation solutions.

The ideal candidate should be comfortable interacting directly with customers and senior business stakeholders, conducting business process discovery sessions, mapping end-to-end processes, identifying automation opportunities, and driving solution implementation. Strong business process mapping expertise using BPMN and hands-on experience with Camunda are critical requirements for this role.

Responsibilities:

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers.

What will you be doing?

We are looking for a hands-on Senior Data Engineer with strong expertise in Data Quality to help shape and scale our modern data ecosystem and enable data-driven, AI-centric applications across the organization. 

As a member of the broader AI team at Navarino, this role will work closely with engineering and business stakeholders to design and build trusted, scalable, and well-governed data platforms that support analytics, operational reporting, machine learning, and next-generation AI solutions. 

The ideal candidate brings strong data engineering expertise, a passion for data quality and governance, and a commitment to driving best practices across the entire data lifecycle.

Role Overview

We are seeking a high-caliber Site Reliability Engineer (SRE) to join our Forward Engineering team. You will be the guardian of our production ecosystems, ensuring that our complex, data-driven AI platforms remain resilient, scalable, and highly performant. This role is a hybrid of software engineering and systems architecture, with a specialized focus on MLOps—bridging the gap between model development and production-grade reliability.

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are looking for a skilled DevOps Engineer with strong hands-on experience in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for building, scaling, and maintaining reliable cloud infrastructure while driving automation and improving deployment efficiency across the platform.

You will collaborate closely with software engineers and technical teams to ensure system reliability, security, scalability, and operational excellence.