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AI/ML Engineer

3 hours, 9 minutes ago
India
Mid Level
Machine Learning Engineer
Software Development
Deep Learning Docker Feature Engineering GCP Generative AI Git Keras Kubernetes LLM Looker Machine Learning MLOps Python PyTorch Reinforcement Learning Scikit-learn Shell Scripting SQL Statistics TensorFlow Vertex AI
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66degrees

66degrees

66degrees: Google Cloud Premier Partner shaping the Future of Work with AI and data solutions.

IT Services
251-1K
View All Jobs 21

Description

  • Analyze diverse data types, including tabular, text, and image data, to identify pain points and generate client insights.
  • Use analytical methods to identify opportunities that support business goals.
  • Train and deploy off-the-shelf or custom models using Google Cloud Platform services.
  • Serve as a thought leader on projects and contribute to practice initiatives.
  • Act as a subject matter expert on pre-sales calls and requests for proposals.
  • Drive successful delivery of analytics solutions.
  • Create reports and presentations that communicate solution value to clients.
  • Collaborate with the AI/ML team to build a center of excellence, standard operating procedures, accelerators, and sales assets.

Requirements

  • 3-6+ years of relevant data science experience.
  • Experience with Python, including TensorFlow, Keras, SciKit-Learn, and PyTorch.
  • Experience with SQL and shell scripting.
  • Experience in data engineering, including data cleansing and ETL/ELT pipelines.
  • Experience with vector databases, relational databases, NoSQL databases, and data warehouses.
  • Experience with generative AI, including LLMs, prompt engineering, tuning, RAG, and LangChain.
  • Experience with statistics and modeling, including time series, clustering, regression, classification, recommendation systems, deep learning, ensemble modeling, reinforcement learning, EDA, data visualization, feature engineering, and model evaluation.
  • Experience with Responsible AI/MLOps, including GIT, CI/CD pipelines, API development, Docker, deployment, retraining pipelines, monitoring, and model versioning.
  • Experience with Google Cloud tools such as Vertex AI, Document AI, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Kubernetes, and Looker.
  • Graph Data Science experience is a plus.
  • Ability to communicate complex technical processes to non-technical business stakeholders.
  • Ability to adapt to changing business requirements and deliver quality solutions independently and with teams of varying skill sets.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent work experience.

Interested in this position?

Apply directly on the company website

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