This is a remote position.

Responsibilities

AI Solution Development

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  Lead the design, development, and implementation of end-to-end, scalable AI solutions.
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  Build, train, and optimize Machine Learning and Deep Learning models.
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  Continuously improve model performance, accuracy, and operational cost efficiency.

Full Stack Engineering

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  Develop and integrate backend and frontend components for AI-powered applications.
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  Design scalable, secure, and high-performance software architectures.
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  Ensure code quality through testing, code reviews, and software development best practices.

Data Science & Predictive Modeling

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  Analyze large datasets to identify patterns and develop predictive models.
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  Implement data preparation, cleansing, and transformation pipelines.
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  Develop advanced analytics solutions to solve complex business challenges.

Cloud & MLOps

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  Build and deploy AI solutions using Machine Learning services on AWS, Google Cloud Platform (GCP), or Microsoft Azure.
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  Integrate AI models into scalable cloud infrastructures.
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  Optimize model deployment, monitoring, maintenance, and lifecycle management in production environments.

Innovation & Technical Leadership

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  Provide technical leadership for strategic Artificial Intelligence initiatives.
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  Mentor and guide engineers across the team, promoting technical excellence and best practices.
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  Research emerging AI technologies, tools, and industry trends to drive continuous innovation.

Documentation & Communication

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  Document system architectures, technical processes, and design decisions.
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  Communicate project progress, technical findings, and business impact effectively to both technical teams and business stakeholders.

Requirements

Requirements

Required Qualifications

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  10–12 years of professional experience as a Full Stack Engineer.

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  Advanced proficiency in Python.

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  Strong experience with Java or Scala.

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  Extensive experience designing and developing Artificial Intelligence solutions.

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  Hands-on expertise with Machine Learning frameworks, including:

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    TensorFlow

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    PyTorch

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  Experience using:

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    pandas

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    scikit-learn

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  Experience working with cloud platforms, including:

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    Amazon Web Services (AWS)

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    Google Cloud Platform (GCP)

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    Microsoft Azure

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  Knowledge of cloud-based Machine Learning services.

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  Proven experience building advanced predictive models.

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  Strong understanding of:

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    Software architecture

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    Scalable systems design

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    Data structures

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    Algorithms

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  Proven experience developing Full Stack applications.