Gcp Ai/ml
Posted 5 days ago by Ubique Systems
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The role of GCP AI/ML involves leveraging extensive experience in data engineering and machine learning to work with enterprise clients. The position requires hands-on expertise in building and training machine learning models, as well as proficiency in various programming languages and frameworks. Strong communication and problem-solving skills are essential for effective client interaction and project governance. The candidate will also need to demonstrate a solid understanding of data analytics concepts and tools.
Key Responsibilities:
- Build and train machine learning models using various frameworks.
- Develop and manage data pipelines and recommendation engines.
- Utilize deep learning frameworks for advanced analytics.
- Engage in customer-facing roles for discovery, assessment, and execution.
- Demonstrate project governance and enterprise customer management.
- Collaborate with cross-functional teams to solve complex problems.
- Implement Graph Neural Networks and approximate nearest neighbor techniques.
- Utilize Google Cloud Platform tools for data processing and analytics.
Key Skills:
- 7+ years in a customer-facing role with enterprise clients.
- 4+ years of experience in enterprise data warehouse and analytics technologies.
- Proficiency in Python, Scala, R, or similar programming languages.
- Strong coding skills and familiarity with ML/DL libraries.
- Knowledge of data analytics concepts and ETL tools.
- Experience with deep learning frameworks like TensorFlow and PyTorch.
- Proficiency in building Graph Neural Networks using relevant frameworks.
- Hands-on experience with Google Cloud Platform tools.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Certifications Minimum: Google Professional Data Engineer Preferred: AWS Machine Learning Specialty Certification
7+ years in a customer facing role working with enterprise clients
4+ years of experience working in enterprise data warehouse and analytics technologies
Hands-on experience building and training machine learning models.
Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design.
Experience working with recommendation engines, data pipelines, or distributed machine learning.
Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano).
Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow, PyTorch, or JAX.
Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Customer facing experience of discovery, assessment, execution, and operations.
Demonstrated excellent communication, presentation, and problem solving skills.
Experience in project governance and enterprise customer management.
Proficiency in building Graph Neural Networks (GNNs) using frameworks like DGL, PyTorch Geometric, or similar.
Experience with ScaNN or other approximate nearest neighbor (ANN) techniques for vector similarity search.
Hands-on experience with Google Cloud Platform (GCP) tools such as Vertex AI, BigQuery, and Dataflow.
Strong problem-solving and communication skills, including the ability to work with clients and cross-functional teams.