Talantix.io
Jobgether•07.03.26
AI SCORE 8.5

Remote Senior Software Engineer - AI/​ML Focus

$140K–$200K/year
RemoteAI/Big Data
Software Engineering•AI•Machine Learning•Cloud Platforms•DevOps•Programming Languages

About the Role

We are seeking a Remote Senior Software Engineer to join our dynamic team. In this role, you will have a significant impact on developing and delivering high-quality software solutions for a diverse range of clients. As a Remote Senior Software Engineer, you'll collaborate with teams to innovate and implement advanced technology systems that drive measurable outcomes.

What You'll Do

  • Rapidly build trust with clients and demonstrate technical expertise.
  • Guide technical direction and solve complex problems.
  • Work pragmatically to balance technology choices with deadlines.
  • Advise clients on architecture and platform evolution.
  • Collaborate on full ML lifecycle systems.
  • Drive innovation by introducing new technical approaches.
  • Lead formal feedback conversations with teams and clients.
  • Design and manage high-level technical roadmaps for projects.
  • Influence client decisions and facilitate collaboration.
  • Mentor team members and transfer knowledge.

Requirements

  • 10+ years of experience in software engineering.
  • Deep consulting acumen and technical expertise.
  • Experience with multiple programming languages and frameworks.
  • Knowledge of AI/ML technologies and systems.
  • Strong understanding of software design and architecture.
  • Previous success on high-stakes consulting engagements.
  • Ability to mentor and support team practices.
  • Experience in delivering scalable enterprise-grade solutions.

Nice to Have

  • Experience with cloud platforms (AWS, Azure, GCP).
  • Familiarity with DevOps practices.
  • Knowledge of containerization technologies (Docker, Kubernetes).

What We Offer

  • Unlimited access to learning resources and training platforms.
  • Flexible PTO to promote work-life balance.
  • Financial stipend for learning and development.
  • Support for co-working arrangements.
  • 12 weeks of parental leave for eligible employees.
Why This Job8.5 of 10

This Remote Senior Software Engineer position offers a unique opportunity to lead in AI/ML innovation while enjoying a flexible work environment and competitive salary.

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

About Jobgether

Explore Jobgether careers in 2026 and discover a wide range of job openings, including remote, hybrid, and office roles. Our platform offers advanced filters, application tracking, and valuable company insights to enhance your job search experience. Uncover exciting career opportunities at Jobgether and take the next step towards your dream role today. Join us and shape your future in 2026.

Industry
Tech
Location
Remote

Who Will Succeed Here

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Proficient in programming languages such as Python and Java, with a strong background in developing and deploying AI/ML models on cloud platforms like AWS or Azure.

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Demonstrates a self-motivated and autonomous work style suitable for remote environments, with a proven ability to manage time effectively and deliver results on tight deadlines.

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Possesses a deep understanding of DevOps practices, including CI/CD pipelines and infrastructure as code, to ensure smooth deployment and scaling of machine learning applications.

Learning Resources

→Machine Learning Crash Coursecourse
→AI and Machine Learning for Coderscourse
→AWS Documentation for Machine Learningarticle

Career Path

Remote Senior Software Engineer - AI/ML Focus(Now)→Lead Software Engineer - AI/ML(1-2 years)→Engineering Manager - AI/ML Projects(3-5 years)

Market Overview

AI/ML Market Size 2024
$126B
Annual Growth (AI/ML)
38.8%
AI Adoption in Enterprises
60%
Investment in AI/ML Startups
+250%
Labour Demand for AI/ML Roles
+45%
Avg Salary for Senior AI/ML Engineers
$150K

Skills & Requirements

Required
Software EngineeringAIMachine Learning
Growing in Demand
Deep Learning Frameworks (e.g., TensorFlow, PyTorch)Cloud AI Services (e.g., AWS SageMaker, Google AI Platform)MLOps Practices (e.g., CI/CD for ML models)
Declining
Traditional Data Warehousing (e.g., Oracle, SQL Server)Basic Scripting Languages (e.g., Perl, Bash)

Domain Trends

Increased Integration of AI in DevOps
60% of organizations are adopting AI-driven DevOps tools to enhance automation and efficiency in software delivery.
Rise of Federated Learning
Federated learning is gaining traction, with a projected increase of 30% in its adoption among enterprises to enhance privacy in AI applications.
Shift Towards Explainable AI
Over 55% of AI projects are now focusing on transparency and interpretability, driven by regulatory requirements and consumer demand.

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