Associate Technical Architect - ML, AWS/Azure/GCP, Data Science (8+ years) Remote

Discipline: Data Science/Machine Learning, Technical Architect
Job type: Permanent
Contact name: Gurpreet Kaur

Contact email: gurpreet.kaur@crescendogroup.in
Job ref: 39363
Published: 6 months ago

Associate Technical Architect - ML, AWS/Azure/GCP, Data Science (8+ years) Remote 

Currently seeking someone having 8+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development, and deployment. A perfect role fit for the one having hands-on knowledge of implementing ML models on Azure, AWS, and/or GCP specific but not limited to Azure ML Engine, AWS Sagemaker, GCP VertexAI, DataBricks, etc.

Location: Remote

Your future employer - One of the top technology solutions providers that liberate data to enable business insights.

Responsibilities –

  • Implementing ML models on Azure, AWS and/or GCP specific but not limited to Azure ML Engine, AWS Sagemaker, GCP VertexAI, DataBricks, etc.
  • Development and deployment of ML models.

Requirements –

  • Should have strong experience in programming languages like Python, R, Spark and SQL. Experience in RESTful, Web Services
  • Experience in using open-source libraries for Data Transformation and Analysis like Pandas, Matplotlib, Seaborn, etc.
  • Hands-on Experience with broad range of machine learning/deep learning tools e.g. TensorFlow, PySpark, PyTorch, scikit-learn, Keras.
  • Hands-on experience of API Integration and experience integrating with SQL and NoSQL databases.
  • Good understanding of DevOps pipelines for CI/CD. Experience in Agile environment
  • Experience in MLOps for model auditing, monitoring and maintenance.
  • Solid knowledge in deep learning algorithms and AI system design and architecture.
  • Demonstrated knowledge of using OpenAI and/or HuggingFace
  • Technical understanding of LLMs and Generative AI
  • Hands-on knowledge of implementing ML models on Azure, AWS and/or GCP specific but not limited to Azure ML Engine, AWS Sagemaker, GCP VertexAI, DataBricks, etc.
  • Good understanding of cloud services offered by Azure, AWS and GCP
  • Should have proven experience in coming up with solutions and its feasibility study for various project requirements/problems

 

What is in it for you?

  • A high paced, collaborative, trusting, thought provoking work environment.
  • A fast-growing industry with rapid career growth

 

Reach Us:

If you are interested for this role you can reach me at gurpreet.kaur@crescendogroup.in

 

Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

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