Talantix.io
Xtivia•05.03.26
AI SCORE 8.5

AI/​ML Engineer (Google BigQuery) - Remote

$120K–$150K/year
RemoteAI/Big Data
Google BigQuery•Machine Learning•Python•SQL•Java•AWS•Generative AI•Data Security

About the Role

We are seeking a talented AI/ML Engineer (Google BigQuery) - Remote to join our innovative team. In this role, you will leverage your expertise in machine learning and artificial intelligence to develop and implement advanced data analytics solutions using Google BigQuery. You will work collaboratively with cross-functional teams to enhance data-driven decision-making processes.

What You'll Do

  • Design and implement machine learning models and algorithms using Google BigQuery.
  • Collaborate with data scientists and analysts to develop predictive analytics solutions.
  • Utilize SQL and Python for data manipulation and analysis.
  • Integrate AI solutions with existing systems and platforms.
  • Participate in code reviews and contribute to best practices in software development.
  • Provide technical guidance and support to team members.

Requirements

  • 3+ years of experience as an AI/ML Engineer or similar role.
  • Strong proficiency in Google BigQuery and SQL.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Proficient in Python and Java for data processing and model development.
  • Familiarity with cloud technologies, particularly AWS.
  • Excellent problem-solving skills and ability to work in a team environment.

Nice to Have

  • Experience with Generative AI and Retrieval-Augmented Generation techniques.
  • Knowledge of data security and compliance standards.
  • Familiarity with front-end technologies like React.js.

What We Offer

  • Competitive salary ranging from $120,000 to $150,000 annually.
  • Comprehensive benefits package including medical, dental, and vision coverage.
  • 401(k) plan with company match.
  • Flexible paid time off and remote work options.
  • Ongoing career development with paid training and certification opportunities.
  • Recognition and wellness programs to support your well-being.
Why This Job8.5 of 10

This remote AI/ML Engineer position offers a competitive salary and the opportunity to work with advanced technologies like Google BigQuery. Enjoy flexible work arrangements and a comprehensive benefits package.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Google BigQuery and experienced in designing data pipelines for machine learning models, enabling efficient data retrieval and processing.

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Self-motivated and disciplined, with the ability to work independently in a remote environment while effectively managing time and meeting project deadlines.

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A strong analytical mindset with a focus on data security, ensuring that all machine learning implementations comply with industry standards and best practices.

Learning Resources

→Google BigQuery Documentationguide
→Machine Learning with TensorFlow on Google Cloudcourse
→Practical SQL for Data Analysiscourse

Career Path

AI/ML Engineer (Google BigQuery) - Remote(Now)→Senior AI/ML Engineer(2-4 years)→AI/ML Architect(4-6 years)

Market Overview

Market Size 2024
$6.5B
Annual Growth
22.4%
AI Adoption
45%
Investment in AI/ML
+35%
Labour Demand for AI/ML Roles
+30%
Avg Salary for AI/ML Engineer
$120K

Skills & Requirements

Required
Google BigQueryMachine LearningPython
Growing in Demand
Apache BeamTensorFlowData Visualization (Tableau)
Declining
HadoopR Programming

Domain Trends

Rise of Generative AI
Generative AI is projected to grow by 40% in adoption among enterprises, driving demand for engineers skilled in integrating these technologies with platforms like Google BigQuery.
Increased Focus on Data Security
With 60% of organizations prioritizing data security in AI/ML projects, skills in data governance and security are becoming crucial for AI/ML engineers.
Shift to Serverless Architectures
The serverless architecture market is expected to grow by 25% annually, influencing AI/ML workflows and increasing the relevance of platforms like Google BigQuery.

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