It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe our people are the ones who truly empower imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.
JOB DESCRIPTION:
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an ML Engineer-GCP, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Roles and Responsibilities
Designing and implementing machine learning solutions using GCP and Vertex AI
Developing ML pipelines and workflows for data preparation, feature engineering, and model training
Industrialize machine learning models to production using GCP services such using GCP Vertex AI
creating system to Monitoring and managing machine learning models in production, including model performance monitoring and model retraining
Collaborating with other members of the data science team, including data scientists and data engineers, to ensure effective implementation of machine learning solutions.
Staying up-to-date with the latest machine learning tools, technologies, and best practices
Mandatory technical skills
Strong programming skills in languages such as Python and SQL
Experience with GCP services such as GCP ML, GCP Vertex AI
4-5 years of working experience in building ML Engineering pipelines
Vertex AI model registry, Model tracking, monitoring
Expertise in scalable Kubeflow designs
Good experience in GCP services like Big Query, cloud composer.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
Understanding of data science and machine learning concepts, such as statistical analysis, data preprocessing, feature engineering, and model selection
Mandatory non-technical skills
Familiarity with software engineering best practices, including version control, testing, and documentation
Strong analytical and problem-solving skills
Effective communication skills for collaborating with team members and stakeholders.
Education Qualification and Certifications
B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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