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Remote Machine Learning Postdoc Jobs in Pflugerville, TX

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

micro1 AI

AI Trainer - Microbiology Expert

Austin, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Hired Recruiters

Senior DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Law Firm

Patent Agent

Austin, TX · Remote

$180K - $225K/yr

Fully Remote Position! Excellent Compensation and Benefits! Billable Hours: 1,400/year National law ... and machine learning/artificial intelligence technologies. Experience with medical device ...

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

iCounter

Chief Product Officer (US- Remote)

Austin, TX · On-site +1

$300K/yr

You'll work alongside our CEO and executive team to translate market needs and technical capabilities into a best-in-class product that leverages machine learning and AI to stay ahead of adversaries.

iCounter

Chief Product Officer (US- Remote)

Austin, TX · Remote

You'll work alongside our CEO and executive team to translate market needs and technical capabilities into a best-in-class product that leverages machine learning and AI to stay ahead of adversaries.

YO AI Labs

SolidWorks Expert - Remote

Austin, TX · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Kake Group

Senior Software Engineer

Austin, TX · Remote

$125K - $165K/yr

Ability to work independently in a remote environment Nice to Have * Experience working on AI, machine learning, or LLM-related projects * Familiarity with software quality assurance methodologies or ...

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Pflugerville, TX

Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

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Remote Machine Learning Postdoc jobs near you

Informatica Cloud Developer (remote)

Vitaver & Associates, Inc.

Austin, TX • Remote

$52.75 - $69.50/hr

Contractor

Posted yesterday

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Job description

14867 – Informatica Cloud Developer (remote) – Austin, TX
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12+ months with possible extensions
Work Setting: remote. The primary work location(s) will be at Work from Home.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
• Experience with generating advanced SQL queries and using other data interrogation methods (5+ years)
• Experience with Informatica Products (6+ years)
• Experience with Informatica Cloud Data Integration. (4+ years)
• Experience in reviewing, interpreting, and translation business requirements and design specifications into data mappings, and data pipeline development using all major data integration patterns. (5+ years)
• Experience in relational database design concepts which include direct experience in Oracle RDBMS. (4+ years)
• Experience with Data Warehouse architectural patterns including modeling Facts and Dimensions. (3+ years)
• Experience with static mapping and Change Data Capture (CDC) for bulk data movement. (3+ years)
• Experience with Informatica Mass Ingestion. (2+ years)
• Experience using Snowflake (creating, managing, optimizing databases as well as time-travel and other technical advantages of cloud data warehousing). (2+ years)
Preferred:
• Experience working with Snowpark, servicing the needs of Python programmers, or understanding Data Scientists' requirements against Snowflake databases (1+ year)
Responsibilities include but are not limited to the following:
• Design, develop, and deploy robust data pipelines using Informatica Cloud Data Integration (IICS) and Informatica Mass Ingestion to support enterprise-scale data movement and transformation
• Translate complex business requirements and design specifications into detailed data mappings, utilizing static mapping and Change Data Capture (CDC) for efficient bulk data processing
• Create, manage, and optimize Snowflake cloud data warehouse environments, leveraging advanced features such as Time Travel to maximize data availability and recovery
• Write advanced SQL queries and perform complex data interrogation, applying strong relational database design principles within Oracle RDBMS environments
• Implement Data Warehouse architectural patterns, including the design and modeling of Fact and Dimension tables, to ensure scalable and performant analytical data structures
• Collaborate with data scientists and Python developers to provision and optimize Snowflake databases, utilizing Snowpark to support advanced analytics and machine learning workloads
• Apply all major data integration patterns and best practices across the Informatica product suite to ensure reliable, high-volume data synchronization and system interoperability