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Artificial Intelligence Machine Learning (AIML), Remote

Remote:

Full Remote

Contract:

Full time

Work from:

India

Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field., Proven experience in machine learning and data analytics., Proficiency in Python, R, or Java., Experience with machine learning frameworks like TensorFlow or PyTorch..

Key responsabilities:

Develop and implement machine learning algorithms.
Collaborate with teams to define project requirements.

Kaarlo Training & HR Solutions Pvt. Ltd. Hrtech: Human Resources + Technology Startup https://www.kaarlo.in/

2 - 10 Employees

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Job description

This is a remote position.

As an Artificial Intelligence Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive our AI initiatives.

You will work collaboratively with cross-functional teams to solve complex problems and deliver impactful solutions.

Requirements

Key Responsibilities:

Develop and implement machine learning algorithms and models to solve business problems.
Conduct data analysis and preprocessing to ensure high-quality input for models.
Collaborate with data scientists, software engineers, and product managers to define project requirements and deliverables.
Monitor and evaluate the performance of machine learning models, making improvements as necessary.
Stay current with industry trends and advancements in AI/ML technologies and methodologies.
Document processes, model architectures, and technical specifications for internal use.
Participate in code reviews and contribute to best practices in software development.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Proven experience in machine learning, deep learning, and data analytics.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of statistical analysis and data modeling techniques.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying ML models.
Excellent problem-solving skills and the ability to work independently in a remote environment.
Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.