Tiger Analytics is the largest AI and 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 depth in the industry and deep expertise in Data Science, Data Engineering, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. We also have a presence in Europe, Singapore and LATAM markets.

Requirements

• 8+ years of overall industry experience specifically in data engineering
• Strong knowledge of data engineering principles, data integration, and data warehousing concepts
• Very Strong technical developer ( Pyspark, Python, DBX, Azure DE stack (ADF, Logic apps, devOps – CI/CD)).
• Preferably Databricks or Microsoft certified Engineer (advanced level certifications)
• Hands on person, should be able to write code as he needs to work on complex user stories

Architecture

• Very good at understanding and has ability to implement published common data architecture patterns in Azure.

Tech Leadership

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Member of Technical Staff, Machine Learning in North America and Europe.

As a Machine Learning Engineer, you will be responsible for developing innovative multimodal AI systems to push the boundaries of content creation for media generation. You will work alongside a world-class team, building generative models in computer vision, focusing on image and video. This role involves rapid prototyping, collaborating closely with cross-functional teams, and bringing cutting-edge machine learning models to production in a fast-paced, high-ownership environment.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Sales Engineer, Financial Services (EMEA) in the United Kingdom.

As a Senior Sales Engineer, you will play a crucial role in driving technical sales for the company’s AI-driven platform, specifically in the banking and insurance sectors. Working alongside Enterprise Account Executives, you'll deliver product demos, conduct hands-on technical workshops, and design proof-of-concepts that address client needs, ensuring a seamless transition from discovery to solution implementation. You will leverage your deep knowledge of data science and the financial services industry to help clients understand the full potential of the platform, while collaborating across teams to drive product innovation.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Machine Learning Engineer in the United States.

As a Senior Machine Learning Engineer, you will work on building and maintaining the core infrastructure to support the development, training, deployment, and operation of machine learning models and pipelines. You will collaborate with cross-functional teams to optimize processes, manage large datasets, and ensure the scalability of machine learning solutions. This is an exciting opportunity for an experienced professional to work in a fast-paced environment and contribute to innovative projects while further honing your technical expertise.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Full Stack Engineer in the United States.

In this role, you will be responsible for architecting, developing, and deploying software solutions that support national security missions. As a Senior Full Stack Engineer on the Deployed Engineering Team, you will work directly with customers in strategic competition, helping them utilize data to make critical decisions. Your work will span large-scale datasets and require collaboration across cross-functional teams to deliver impactful software in high-stakes environments.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Data Scientist, Growth in the US & Canada.

In this role, you will be responsible for providing key insights and developing frameworks that support decision-making and growth strategies for a major product. You will collaborate with cross-functional teams to analyze complex datasets, optimize user acquisition and retention strategies, and improve the long-term success of the product. Your work will directly contribute to the product's global reach while preserving its core values and mission.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Principal AI Engineer - Servicing Solutions in the United States.

As a Principal AI Engineer, you will define the technical vision for integrating cutting-edge AI-driven solutions into a loan and lease servicing platform. This involves collaborating with leadership, product, and engineering teams to build scalable, AI-powered automation and decision-making systems. You will play a pivotal role in driving the transformation of the servicing business, using AI technologies like Large Language Models (LLMs) and agentic systems to enhance efficiency and scale.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Forward-Deployed AI Engineer in the United States.

As a Forward-Deployed AI Engineer, you will work closely with customers to ensure the successful implementation of AI solutions. Your role will involve collaborating with analytics and business intelligence teams, enhancing product capabilities, and working with the applied science team to improve self-learning algorithms. You will be at the forefront of deploying AI pipelines in production at scale and will have the opportunity to contribute to product strategy and architecture.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an Engineering Manager, Data and ML in Canada.

In this role, you will lead a team of talented engineers working on advanced data and machine learning solutions. You will oversee the entire development lifecycle, from solution design to implementation and deployment, while providing mentorship and fostering a high-performance culture. Your deep technical expertise, especially in event-driven data pipelines and machine learning, will be essential in ensuring the successful delivery of key business objectives and contributing to the advancement of scientific research.

Accountabilities:

At HSO/Aware, we pride ourselves on being specialists in emerging tech and our rapid growth in the ANZ region means we are now looking for a permanent full-time Data Platform Engineer (40 hours per week).

Much like emerging tech is continually evolving and growing, so are our team members. 

We have cool partners that bring us awesome projects, meaning that every day is a little different and provides an opportunity to learn new skills - check out our website and LinkedIn to learn about fun stuff we've done recently (at least the stuff we can talk about!).