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 eager to hire a Solution Architect specializing in Denodo who will lead the design and implementation of data virtualization solutions within our organization. As a Solution Architect, you will leverage your expertise in Denodo to define technical architecture and ensure that our data strategies align with our business goals. You will work collaboratively with cross-functional teams to create robust data architectures, optimize performance, and enhance data accessibility across various departments. The ideal candidate will possess strong leadership skills, architectural knowledge, and a passion for using data to drive decisions. At InfyStrat, we foster a culture of innovation and collaboration, and your contributions will be key to our data initiatives. If you are ready to take on a challenging role and help shape the future of our data landscape, we encourage you to apply.

InfyStrat is on the lookout for skilled and driven Data Engineers with expertise in Denodo to join our innovative data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data integration solutions that leverage Denodo’s data virtualization platform. Your role will be pivotal in transforming complex data into actionable insights, thereby empowering our stakeholders to make data-informed decisions. We are seeking candidates who are not only technically proficient but also enthusiastic about working with diverse datasets and developing efficient data pipelines. At InfyStrat, we value creativity, collaboration, and continuous learning. You will be part of a vibrant team that thrives on tackling challenges and driving the future of our data capabilities. If you are passionate about data engineering and are well-versed in Denodo, we invite you to apply and help us shape the data landscape of InfyStrat.

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 Director, Business Systems in Canada or USA.

As the Director of Business Systems, you will be responsible for leading the evolution of the company’s internal systems and data architecture. In this role, you will define and execute a roadmap for core business applications across various departments, such as Finance, RevOps, HR, and Customer Operations. Your work will directly contribute to scaling the business by enabling automation, improving data governance, and driving data-based decision-making. This strategic leadership position will require you to oversee system integrations, enhance operational processes, and ensure that data flows seamlessly across the organization to support business goals.

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 Power Platform Developer in the United States.

We are seeking an experienced Power Platform Developer to design, build, and implement scalable business solutions using Power BI, Power Apps, and Power Automate. This role involves integrating Microsoft 365, SharePoint, SQL, and external APIs to support business objectives and process automation. You will collaborate closely with business analysts and data engineers to create impactful dashboards, streamline operations, and enhance end-user experiences. The ideal candidate is solution-oriented, agile in mindset, and thrives in a collaborative 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 an Engineering Manager, Targeting Infrastructure in United States.

In this role, you will manage and optimize the Targeting Infrastructure ecosystem, a vital part of the business that processes large amounts of data in both real-time and batch pipelines. As the Engineering Manager, you will lead a diverse team of Data Engineers, Machine Learning Engineers, and Backend Engineers while working closely with senior leadership to deliver high-impact solutions. Your leadership will ensure the rapid and high-quality delivery of features that meet critical business needs, with a focus on maintaining seamless coordination across both technical and non-technical teams.

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:

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.

Description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are expanding our Data Engineering practice and looking for Sr. Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

This is a remote role for applicants based in USA.

Requirements

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:

• ML Engineer with 5-7 years of IT experience.
• Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
• Develop Airflow DAGs to run training and scoring pipelines
• Develop a Testing framework with Pytest
• Implement monitoring solution with homebrew solution using Lambda and Dash
• Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements