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:

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Senior Machine Learning Engineer, remotely from the United States.

As a Senior Machine Learning Engineer, you will work alongside a team of machine learning engineers and clinical experts to build and deploy machine learning models aimed at automating clinical practices. The role involves developing scalable ML systems, focusing on tasks like data retrieval, classification, and generating insights from both structured and unstructured data. Your contributions will directly impact the improvement of healthcare processes through AI-driven innovations. You will also mentor junior engineers while collaborating with cross-functional teams to ensure the alignment of ML solutions with the company’s broader objectives.

Accountabilities:

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Technical Product Manager - AI, remotely from United States.

As a Technical Product Manager (AI), you will play a pivotal role in the development and optimization of AI-powered products. Your primary responsibility will be to manage the product lifecycle, from conception to release, ensuring alignment with both user needs and business goals. You will collaborate closely with cross-functional teams, including engineering, data science, and business leaders, to ensure the successful delivery of AI-driven solutions. You will also leverage your expertise in AI and machine learning to guide product strategy and roadmap, while keeping a focus on continuous product improvement.

Accountabilities:

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, Big Data and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are working on building the best analytics consulting company in the world.

We are currently seeking a dynamic and experienced Recruiter to join our Talent acquisition team.

Responsibilities:

Talent Acquisition:

• Execute end-to-end recruitment processes, from sourcing and screening to interviewing and onboarding.
• Identify and attract top talent through various channels, including job boards, social media, and professional networks.

Candidate Relationship Management:

• Build and maintain strong relationships with candidates throughout the recruitment process.
• Provide a positive candidate experience and act as the main point of contact for candidates.

Collaboration with Hiring Managers:

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:

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

Ben jij een gedreven Tech Sourcer met een passie voor Data & AI en Cloud?

Wil je werken in een dynamische omgeving waar jij verantwoordelijk bent voor het vinden, benaderen en enthousiasmeren van toptalent voor rollen zoals Data & AI Engineers, Machine Learning Engineers en Cloud Specialisten?

Wij zoeken een enthousiaste en ervaren Tech Recruiter die ons team komt versterken. Je werkt nauw samen met hiring managers en recruiters om de juiste professionals te vinden en draagt bij aan het bouwen van high-performing tech teams die écht impact maken bij onze klanten.

Jouw rol
Als Tech Recruiter bij HSO ben je de drijvende kracht achter onze groeiambities. Jij weet als geen ander dat de juiste mensen op de juiste plek het verschil maken. Je werkt nauw samen met hiring managers en HR om talent aan te trekken dat niet alleen past bij de functie, maar ook bij onze cultuur en toekomstvisie. Recruitment is de levensader voor de ontwikkeling en groei van ons bedrijf. Jouw rol is daarmee doorslaggevend in het succes van de organisatie.

HSO is een internationale en toonaangevende Microsoft-partner. Vorig jaar is HSO erkend als Microsoft Partner of the Year. Jouw inspanningen helpen ons om die status te bevestigen en verdere groei te realiseren.

Wat ga je doen?

HSO ist einer der führenden Microsoft Partner und gehört zum Microsoft Inner Circle, in dem sich die besten 1 % aller Microsoft-Partner weltweit befinden. Wir sind in Europa, Nordamerika, Asien und Australien vertreten und beraten mit mehr als 2.500 Mitarbeiter:innen namhafte Kunden bei komplexen IT-Projekten auf der ganzen Welt. Unser Ziel ist es, die Strategie unserer Kunden mit der Microsoft Cloud Technologie in Einklang zu bringen, um einen echten Mehrwert zu generieren. Hierfür suchen wir dich - einen erfahrenen Enterprise Architekten (m/w/d) - mit umfassender technischer Expertise für unser Team in Deutschland. In dieser zentralen Rolle fungierst du als wichtige Schnittstelle zwischen technischen und funktionalen Aspekten von groß angelegten Transformationsprojekten auf Basis von Microsoft Cloud- und Drittanbieterlösungen.

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

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.

As part of this job, 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

Requirements