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Ml Analyst Jobs (NOW HIRING)

Proven ability to integrate AI/ML models into business intelligence platforms such as Power BI, Oracle Analytics, or through APIs. * Experience working with high-speed networking, storage solutions ...

Develop, test, and deploy ML models tailored for telecom use cases such as churn prediction, network optimization, SINR analysis, and QoS improvement. * Collaborate with data scientists to translate ...

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for ... As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong ...

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for ... As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong ...

... analytics-ready formats • Create robust ETL/ELT workflows using Apache Spark and modern data ... data and ML lifecycle • Implement MLOps best practices including automated model training ...

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for ... As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers ...

ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense ... analytics-ready formats Create robust ETL/ELT workflows using Apache Spark and modern data ...

ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense ... analytics-ready formats • Create robust ETL/ELT workflows using Apache Spark and modern data ...

ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense ... analytics-ready formats • Create robust ETL/ELT workflows using Apache Spark and modern data ...

Excellent analytical and problem-solving skills with attention to detail. Bonus Skills: * Experience with deploying and maintaining AI/ML models in production environments. * Knowledge of MLOps ...

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

This role requires working with large, multi-terabyte datasets, advanced analytics, and end‑to‑end ML lifecycle management using Databricks, Python, PySpark, and AWS-native services. Must ...

Excellent analytical and problem-solving skills with attention to detail. Bonus Skills: * Experience with deploying and maintaining AI/ML models in production environments. * Knowledge of MLOps ...

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Ml Analyst information

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$31K

$73.3K

$130K

How much do ml analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for ml analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For an ML Analyst, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as strategic planning, ethical oversight, and specialized data interpretation. These jobs often involve understanding nuanced contexts and making decisions that AI cannot easily replicate. Continuous learning and expertise in domain-specific knowledge will remain valuable in these areas.

Is ML a high paying job?

Machine Learning (ML) analysts typically earn higher-than-average salaries due to their specialized skills in data analysis, programming, and statistical modeling. Salaries vary based on experience, location, and industry, but many ML roles offer competitive compensation, especially for those with advanced knowledge of tools like Python, R, and machine learning frameworks. Certifications and a strong portfolio can also influence earning potential.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve significant strategic decision-making.

Can I learn ML in 3 months?

Learning machine learning as an ML analyst involves understanding core concepts, programming skills, and working with tools like Python and libraries such as scikit-learn or TensorFlow. While basic proficiency can be achieved in three months with intensive study, gaining expertise typically requires ongoing practice and real-world experience. Structured courses, projects, and certifications can help accelerate the learning process.
More about Ml Analyst jobs
What cities are hiring for Ml Analyst jobs? Cities with the most Ml Analyst job openings:
What states have the most Ml Analyst jobs? States with the most job openings for Ml Analyst jobs include:
AI/ML Engineer

Other

Posted 25 days ago


Job description

Interview: F2F
Visa: All except H1b
Hybrid: Brooklyn, NY (must be local with linkedin)
JD:
Must-Have Qualifications:

  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • Minimum of 3 years of experience in AI/ML engineering with a focus on infrastructure, MLOps, and cloud AI deployment.
  • Proven experience configuring and setting up ML platforms both on-premises and in cloud environments, particularly Oracle Cloud.
  • Strong expertise in Linux-based AI/ML environments, including performance optimization, package management, shell scripting, and system troubleshooting.
  • Extensive experience working with HPC environments and GPU clusters (e.g., H100, A100, or similar) for large-scale distributed AI workloads.
  • Proficient in Python programming, with hands-on experience using AI/ML frameworks such as TensorFlow, PyTorch, or similar.
  • Hands-on experience with MLOps, including model training, validation, deployment, and ongoing monitoring.
  • Proven ability to integrate AI/ML models into business intelligence platforms such as Power BI, Oracle Analytics, or through APIs.
  • Experience working with high-speed networking, storage solutions, and tuning AI/ML system performance for optimal results.

ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019