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 Data Platform Engineer in the United States.

As a Data Platform Engineer, you’ll play a key role in designing and improving scalable data infrastructure and pipelines that empower analytics and product decisions. You’ll collaborate with cross-functional teams to build efficient systems that ensure data quality, reliability, and security. Your work will focus on enhancing performance, observability, and scalability across the organization’s modern data stack. This role offers the opportunity to make a real impact on how data is used throughout the business, all while working in a remote-first environment with a strong engineering culture.

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 AI Architect in United States.

This is a high-impact opportunity for a senior-level AI expert with hands-on experience deploying machine learning and natural language processing systems at scale. The role involves architecting and implementing production-grade AI solutions, especially within healthcare environments where data privacy and compliance are critical. You will collaborate with product, engineering, and leadership teams to shape AI strategy, develop scalable models, and guide the integration of AI across the organization. If you thrive on transforming AI concepts into real-world systems that deliver measurable value, this is the role for you.

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 partner companies is currently looking for a Software Engineer, ML Infrastructure based in Canada.

In this role, you'll join a fast-paced, cross-functional team building the infrastructure that powers the future of AI-driven robotics. You'll work on scalable systems to process and manage vast amounts of sensor and training data, enabling high-performance ML workflows. From optimizing data pipelines and automating workflows to integrating with annotation tools and supporting robust CI/CD practices, you’ll play a critical role in accelerating the development and deployment of machine learning models. This is a unique opportunity to help shape the technical foundation of cutting-edge autonomy systems in a collaborative and mission-driven environment.

Accountabilities:

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:

Technical Skills Required:

Programming Languages: Proficiency in Python, SQL, and PySpark.

Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.

Data Pipelines: Proficiency with Apache Airflow.

Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)

Operating Systems: Experience with Linux.

Batch/Realtime Pipelines: Experience in building and deploying various pipelines.

Version Control: Experience with GitHub.

Development Tools: Proficiency with VS Code.

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 Engineer in India, Thailand, Malaysia, Indonesia, Philippines.

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based platforms to support data-driven decision-making across the organization. Working with cross-functional teams, you’ll bridge the gap between business needs and technical execution, ensuring high-quality data solutions. This role is ideal for someone who thrives in optimizing data systems and is passionate about leveraging data for impactful business outcomes.

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 Data Scientist, CXO Data Science in Canada.

This is a great opportunity to join a fast-paced, data-driven environment focused on enhancing the customer experience through cutting-edge AI and machine learning solutions. As a Data Scientist on the CXO team, you will develop predictive models, ensure high data quality, and create dashboards that empower business decisions. You’ll collaborate closely with cross-functional teams and leverage your expertise to drive impactful insights. This role combines strong technical skills with a strategic mindset, perfect for someone passionate about data and customer-centric 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 Software Engineer - Data Engineer (Geo) in India.

As part of the Geo team, you will be responsible for creating and maintaining data pipelines, building the infrastructure for optimal data extraction, transformation, and loading from a variety of sources. The role will involve collaborating with cross-functional teams, solving data-related technical challenges, and continuously enhancing the platform to improve the quality and capabilities of location-based data services. You will work with big data technologies and cloud services like AWS to drive the success of the platform.

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, 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 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