windworkx27.01.26
AI SCORE 8.5

AI Solutions Engineer - Renewable Energy Sector

$54K–$84K/year

About the Role

We are seeking an experienced AI Solutions Engineer to join our innovative team in the renewable energy sector. This AI Solutions Engineer remote position focuses on designing and deploying intelligent automation systems, particularly in language-based AI technologies and autonomous agent development.

What You'll Do

  • Work hands-on with cutting-edge AI technologies to solve real-world engineering challenges.
  • Adapt and deploy sophisticated machine learning systems to meet specific operational requirements.
  • Collaborate closely with engineering and product teams to embed intelligence into existing platforms.
  • Interpret complex datasets to inform model training and refinement.
  • Ensure deployed systems perform reliably at scale while maintaining ethical standards and regulatory compliance.

Requirements

  • At least three years of experience in applied machine learning or AI development.
  • Strong coding ability, particularly in Python.
  • Solid grounding in ML algorithms, neural networks, and data processing techniques.
  • Familiarity with modern AI toolkits and transformer-based architectures.
  • A relevant degree in computing, data science, or a related discipline.

Nice to Have

  • Experience in the renewable energy sector.
  • Strong communication skills to translate complex concepts for varied audiences.
  • Ability to work effectively across departments.

What We Offer

  • Annual compensation ranging from €54,000 to €84,000, depending on experience.
  • Comprehensive health cover and modern office facilities in Latvia.
  • Generous leave allowances, including study time.
  • A supportive team culture with regular social events.
  • Full sponsorship for work permits and a €5,000 relocation package for international candidates.
Why This Job8.5 of 10

This role offers a unique opportunity to work in the renewable energy sector as an AI Solutions Engineer. With competitive compensation and a supportive team culture, it's an attractive position for AI professionals.

Salary Range
Required
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Optional
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Bonus
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About windworkx

Explore exciting career opportunities at windworkx in 2026. Browse a variety of remote, hybrid, and office positions tailored for you. Utilize our advanced filters to find your perfect fit, and track your application progress with ease. Gain valuable company insights to enhance your job search experience. Discover your next role at windworkx and take the next step in your professional journey today.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in Python programming and experience with AI toolkits such as TensorFlow or PyTorch, allowing the candidate to effectively implement machine learning models for renewable energy applications.

Strong analytical mindset with a passion for data processing and neural networks, enabling the engineer to derive insights from complex datasets and optimize AI solutions for energy efficiency.

Self-motivated and adaptable, thriving in a remote work environment while demonstrating initiative in staying updated with the latest advancements in AI technologies relevant to the renewable energy sector.

Learning Resources

Python for Data Science Handbookguide

Career Path

AI Solutions Engineer - Renewable Energy Sector(Now)AI Technical Lead(1-2 years)Director of AI Solutions(3-5 years)

Market Overview

Python Market Size 2024
$25B
Annual Growth of Python Ecosystem
11.5%
AI Adoption in Renewable Energy
57%
Investment in AI Solutions for Energy
+40%
Labour Demand for AI Engineers
+30%
Avg Salary for AI Solutions Engineer
$120K

Skills & Requirements

Required
PythonMachine LearningNeural Networks
Growing in Demand
TensorFlowPyTorchBig Data Technologies
Declining
R ProgrammingMATLAB

Domain Trends

Increased AI Integration in Energy Management
Over 60% of renewable energy companies are integrating AI solutions for predictive maintenance and energy optimization.
Rise of Edge Computing in Renewable Energy
By 2025, it's projected that 40% of renewable energy data processing will occur at the edge, reducing latency and improving efficiency.
Sustainability-Focused AI Development
Investment in AI for sustainability solutions is expected to grow by 50% annually, driven by regulatory pressures and consumer demand for green technologies.

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