Talantix.io
Firstsource•07.03.26
AI SCORE 8.5

Manager - Senior ML Engineer (Full Stack) - Remote

$120K–$150K/year
RemoteAI/Big Data
Python•Machine Learning•Generative AI•Django•Flask•TensorFlow•Keras•PyTorch•SQL•NoSQL•AWS•Azure•Google Cloud•Docker•Kubernetes•Jenkins•Git

About the Role

We are seeking a Manager - Senior ML Engineer (Full Stack) remote to lead the development and integration of cutting-edge Generative AI (GenAI) technologies. This role is pivotal in enhancing our product offerings through innovative solutions. You will collaborate with cross-functional teams and manage full-stack development projects, ensuring high-quality outcomes.

What You'll Do

  • Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings.
  • Write, review, and maintain code modules, ensuring high-quality and efficient code.
  • Oversee full-stack development projects, ensuring seamless integration and optimal performance.
  • Collaborate with cross-functional teams to define project requirements, scope, and deliverables.
  • Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals.
  • Stay updated with the latest industry trends and technologies to drive innovation within the team.
  • Ensure compliance with best practices in software development, security, and data privacy.
  • Troubleshoot and resolve technical issues in a timely manner.

Requirements

  • Bachelor’s degree in computer science or an Engineering degree.
  • Minimum of 7 years of experience in machine learning engineering or a similar role.
  • Strong proficiency in Python programming.
  • Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn.
  • Proven experience in machine learning and AI development.
  • Experience with Generative AI (GenAI) development and integration.
  • Full-stack development experience, including front-end and back-end technologies.
  • Proficiency in web development frameworks such as Django or Flask.
  • Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn.
  • Experience with RESTful APIs and web services integration.
  • Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git.
  • Effective communication and interpersonal skills.
  • Ability to work in a fast-paced, dynamic environment.
  • Knowledge of software development best practices and methodologies.

Nice to Have

  • Experience with advanced AI techniques and frameworks.
  • Familiarity with Agile methodologies.
  • Previous experience in a leadership role.

What We Offer

  • Competitive salary with potential for bonuses.
  • Remote work flexibility.
  • Professional development opportunities.
  • Collaborative and innovative work environment.
  • Health and wellness benefits.
  • Work-life balance initiatives.
  • Access to cutting-edge technologies and tools.
Why This Job8.5 of 10

This role offers a unique opportunity to lead innovative AI projects in a remote setting, with a competitive salary and professional growth.

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

Who Will Succeed Here

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Proficient in Python and experienced with frameworks like Django and Flask, enabling the candidate to effectively manage full-stack development projects and integrate Generative AI solutions.

→

Strong understanding of machine learning algorithms and deep learning libraries such as TensorFlow, Keras, and PyTorch, allowing for innovative application of AI technologies in product offerings.

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Demonstrated ability to lead remote teams and manage cross-functional collaboration, ensuring high-quality outcomes in a fast-paced, distributed work environment.

Learning Resources

→Python for Data Science Handbookguide
→Deep Learning Specializationcourse
→FastAPI: The Complete Guidearticle

Career Path

Manager - Senior ML Engineer (Full Stack)(Now)→Director of Machine Learning(1-2 years)→VP of AI Solutions(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
22.5%
AI Adoption
85%
Investment
+150%
Labour Demand
+40%
Avg Salary
$150K

Skills & Requirements

Required
PythonMachine LearningGenerative AI
Growing in Demand
Data EngineeringMLOpsCloud Computing
Declining
MATLABR

Domain Trends

Rise of Generative AI
The generative AI market is projected to grow by 35% annually, with companies increasingly adopting models for content creation and data synthesis.
Increased Demand for MLOps
MLOps adoption is expected to increase by 50% as organizations seek to streamline machine learning model deployment and management.
Shift to Cloud-Native ML Solutions
Over 70% of enterprises are moving their ML workloads to cloud platforms, driven by the need for scalability and flexibility.

Industry News

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