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Atlas Invest | Senior Backend Developer at SD Solutions

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Strong expertise in Python and Node.js, 3+ years of backend development experience, 2+ years in AI, ML, or data-centric roles, Familiarity with AI/ML frameworks.

Key responsabilities:

  • Design and maintain backend services and APIs
  • Optimize data pipelines for ETL processes

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SD Solutions Scaleup http://sdsolutions.tech/
201 - 500 Employees
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Job description

On behalf of Atlas Invest , SD Solutions is looking for a talented Senior Backend Developer with a strong background in data manipulation, artificial intelligence (AI), and machine learning (ML). The ideal candidate will have expertise in Python and Node.js

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

  • Design, develop, and maintain backend services and APIs to support AI and ML applications.
  • Build and optimize data pipelines for ETL processes.
  • Collaborate with data scientists to integrate machine learning models into production.
  • Ensure efficient handling and transformation of large datasets.
  • Write clean, efficient, and testable code in Python and Node.js.
  • Implement best practices for database design and query optimization.
  • Monitor and improve system performance, scalability, and reliability.
  • Ensure data quality, integrity, and security across the pipeline.
  • Deploy and monitor AI/ML pipelines in production environments.

Requirements:

  • Experience: backend developer 3+ years(total) with Python/nodejs , 2+ years in AI, ML, or data-centric development roles.
  • AI Techniques: Familiarity with NLP, reinforcement learning,.
  • Strong proficiency in Python and Node.js, SQL, NoSQL
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience in data manipulation and ETL processes.
  • Solid understanding of RESTful APIs and microservices architecture.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
  • Familiarity with WebSocket implementation and real-time data systems is a plus.
  • Strong problem-solving skills and attention to detail.

Advantages:

  • Experience with MLOps and CI/CD for ML pipelines.
  • Understanding of big data technologies (e.g., Hadoop, Hive).
  • Experience with : Airflow, Apache Spark

About the company:

Atlas Invest is transforming the bridge loan landscape, seamlessly connecting investors with real estate developers using advanced big data analytics for a personalized investment experience.

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Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Detail Oriented
  • Problem Solving

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