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Software Engineer, ML Infrastructure - (Remote - Canada)

posted by: spj_bot

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, ML Infrastructure in Canada.

This role is ideal for a data-focused engineer passionate about building scalable infrastructure to support machine learning and robotics at scale. As a key member of the ML Infrastructure team, you will help develop the tools and systems that enable robust ML model training, data curation, and real-time inference. You’ll collaborate with autonomy engineers, data scientists, and operations teams to streamline data workflows, enhance training efficiency, and ensure the reliability of ML services. This is a great opportunity to work on cutting-edge robotics in a fast-moving environment where AI meets the real world.

Accountabilities:

Job Skills

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Data Platform Engineer - (Remote - US)

posted by: spj_bot

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:

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AI Architect (Remote - United States)

posted by: spj_bot

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:

Job Skills

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Software Engineer, ML Infrastructure - (Remote - Canada)

posted by: spj_bot

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:

Job Skills

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Senior Data Engineer hybrid from Manila, Philippines

posted by: spj_bot

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 Manila, Philippines.

We are looking for a highly skilled Senior Data Engineer to join a growing data team dedicated to transforming raw data into actionable insights across the organization. In this role, you will design and implement scalable data transformation pipelines, enhance existing frameworks, and help build a modern lakehouse architecture. You'll work with cutting-edge tools like DBT, Snowflake, Airflow, and Python, with a focus on empowering business users through data. If you’re passionate about building robust, reliable, and forward-looking data platforms, we’d love to hear from you.

Accountabilities:

Job Skills

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Gen AI Data Engineer

posted by: spj_bot

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.

Job Skills

adaptability monitor system cloud platforms operating system GCP persistence communication buckets image data pipeline dashboards data system bigquery cloud technology python integrating higher level best practices communication skills docker pyspark system performance linux real time graphs iterate lambda aws e apache airflow disaster recovery ontologies scalable knowledge graph sql data formats information retrieval airflow problem solve career development kubernetes opensearch data science devops transformation programming languages track indexing leadership graph algorithm reliability automation managing development tools integration adapt managing data audio video data infrastructure nosql elasticsearch business continuity planning aws batch search technology business continuity collaboration workflows machine learn data warehouses neo4j data warehousing presentation data management version control github big datum GKE data visualization analytical data engineering positive algorithms curating analytics collecting data sagemaker cloudformation market research infrastructure as code graph database consulting unstructured data scalability data sources experimentation collaborative infrastructure snowflake containerization scale continuous integration datum curation data pipelines relational database
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Senior Data Engineer - (Remote)

posted by: spj_bot

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:

Job Skills

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Data Scientist, CXO Data Science - (Remote - Canada)

posted by: spj_bot

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:

Job Skills

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Software Engineer -Data Engineer (Geo) - (Remote - India)

posted by: spj_bot

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:

Job Skills

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ML Ops Architect

posted by: spj_bot

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:

Job Skills

leadership terraform databricks cloud architectures compliance requirement cross functional agile system health version control scalable manage github high availability big datum distribute computing test automation workbench architectures technologies time performance engineers engineers computer science cloud compute visualization technologies manage cloud consultants airflow tableau job description azure data libraries azure databrick career development managed python experience designing google cloud platform collaborate reliable best practices azure machine learn analytics standard operating procedure programming machine learn creative perspective automated azure kubernete service governed data science google cloud market research scripting consulting scalability performance optimization real time azure monitor electrical engineering vulnerabilities collaborative machine learning infrastructure logging tracking scale e data pipelines ansible programming languages unix shell job scheduler processes tools
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