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Remote Machine Learning Engineer New Grad Jobs in Louisiana

Cloudera

$45.75 - $59/hr

Deep understanding of the data engineering prerequisites required for machine learning, deep ... Employee Resource Groups EEO/VEVRAA #LI-Remote #LI-MH2

Varsity Tutors

Python Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Python Tutor

New Orleans, LA · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Cloudera

$171K - $205K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-Remote #LI-MH2

S&S's Customer Information Systems

Your primary responsibilities in this role will include new feature implementation, troubleshooting ... Has mindset and desire to embrace learning, working well within a team or unsupervised What would ...

Eisneramper Llp

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

Eisneramper Llp

AI Solution Architect

New Orleans, LA · On-site +1

$60.50 - $79.75/hr

Azure Machine Learning: MLOps, model deployment, and lifecycle management * Azure OpenAI Service ... Data engineering and ML model development * Programming Languages: Python, C#, JavaScript ...

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All JobsMachine Learning Engineer New Grad JobsRemote Machine Learning Engineer New Grad JobsRemote Machine Learning Engineer New Grad Jobs in Louisiana

Remote Machine Learning Engineer New Grad information

What does a remote machine learning engineer new grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

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

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Louisiana?

The most popular types of Machine Learning Engineer New Grad jobs in Louisiana are:

What cities in Louisiana are hiring for Remote Machine Learning Engineer New Grad jobs?

Cities in Louisiana with the most Remote Machine Learning Engineer New Grad job openings:

Remote Machine Learning Engineer New Grad jobs near you

Senior Field Specialist - Data Engineering & Streaming (Pre-Sales)

Cloudera

On-site, Remote

$45.75 - $59/hr

Full-time

PTO

Posted 5 days ago

Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

Data Engineering & Streaming Specialist (Pre-sales /Customer facing)

Are you passionate about making data and AI use cases accessible for enterprise clients?

Cloudera is seeking a pre-sales customer-facing, hands-on Data Engineering & Streaming Specialist to join our team in the US. In this pivotal role, you'll leverage your deep technical expertise to empower our customers, influence product direction, and drive success across our most impactful data engineering, real-time streaming, and AI readiness use cases. If you thrive on creative freedom and shaping the future of cloud-native data architectures and AI at scale, we encourage you to apply.

As a Data Engineering & Streaming Specialist, You Will (Responsibilities)

  • Lead customer engagements by designing and presenting scalable, cloud-native data engineering architectures and business outcomes to technical and executive stakeholders.

  • Provide deep domain expertise throughout the sales cycle, supporting PoCs, solution sizing, and adoption for new and existing customers focusing on data prep, CDC, streaming use cases, and AI readiness.

  • Troubleshoot and resolve complex technical issues in data pipelines, providing guidance and leading escalations to ensure customer success.

  • Drive internal and external technical enablement by exploring new cloud-native streaming and batch technologies, developing educational materials, and sharing best practices.

  • Influence product roadmap by translating customer feedback and EMEA-specific requirements into actionable insights for our product and engineering teams.

  • Act as a Cloudera evangelist, participating in community activities, speaking at events, and contributing to knowledge sharing around modern, AI-ready data engineering.

  • Collaborate effectively with cross-functional teams (Sales, Product, Engineering) to align on customer success and product vision.

We're excited about you if you have:

  • Proven experience leading and implementing mission-critical data use cases in industries such as Financial Services, Retail, Healthcare, Public Sector, etc.

  • Proven experience in designing, building, and deploying enterprise-grade data engineering pipelines and real-time streaming solutions on modern, cloud-native data architectures.

  • Hands-on expertise with leading data processing and streaming technologies, specifically Apache Spark, Airflow, Apache NiFi, Apache Flink, and Apache Kafka.

  • Strong background in architecting production data deployments across hybrid and multi-cloud environments, with specific expertise in data preparation, Change Data Capture (CDC), and data ingestion at massive scale.

  • Demonstrated ability to run Proofs of Concept (PoCs) and MVPs that lead to successful, enterprise-grade production deployments, ensuring data pipelines are optimized for AI readiness.

  • Practical experience in designing and implementing data-intensive use cases, including navigating the associated security, data quality, and governance challenges required to build an AI-ready data foundation.

  • Exceptional presentation skills, comfortable engaging with diverse audiences from data engineers to senior executives.

  • Ability to analyse customer data workloads and define technical migration or modernization roadmaps tailored to their specific needs.

You'll Be Well-Positioned for Success If You Bring (Bonus Qualifications):

  • Prior experience in pre-sales or technical consulting roles with a strong focus on big data & AI platform solutions.

  • Direct experience with legacy or competing streaming/data engineering platforms (e.g., Confluent, Databricks, AWS EMR/Glue) and advising customers/partners on migration strategies to cloud-native alternatives.

  • Experience with DataOps, including CI/CD for data pipelines and automated data quality frameworks essential for trusted AI.

  • Experience with, and interest in, open-source software and development practices.

  • Familiarity with Cloudera's Data Engineering (CDE) and DataFlow (CDF) components, as well as Shared Data Experience (SDX).

  • Relevant technical certifications (e.g., Databricks Certified Data Engineer, Confluent Certified Developer, AWS Certified Data Analytics).

  • Working knowledge of the broader open-source data and AI ecosystem, particularly open table formats that drive cloud-native architectures (e.g., Apache Iceberg) and container orchestration (Kubernetes).

  • Deep understanding of the data engineering prerequisites required for machine learning, deep learning, and generative AI applications.

This role is not eligible for immigration sponsorship.

The anticipated annual base salary range for this position is:

California: $166,000 - $230,000

Colorado: $146,000- $180,000

Illinois: $154,000- $190,000

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-Remote

#LI-MH2

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