Chief Machine Learning Engineer

4 weeks ago

London, Greater London, United Kingdom newscientist - Jobboard Full time
About the Role

We are seeking a highly skilled Chief Machine Learning Engineer to join our Cognition Analytics team. As a key member of our team, you will be responsible for driving the development, deployment, and support of advanced analytics that deliver communications intelligence driving actionable insights.

Key Responsibilities
  • Technical Leadership: Collaborate with data scientists, software engineers, and other stakeholders to design dynamically scalable and efficient Analytic services leveraging in-house and third-party models.
  • Lead by example by actively contributing to design, development, and support of Analytic services in production environments following Smarsh standard Engineering methodology and processes.
  • Communicate updates and risks proactively on the progress of team's commitments to key stakeholders and aligning with overall business objectives.
  • Champion Quality of Product and Service adopting standards, methods, metrics, and processes ensuring continuous assessment, learning, and improvement.
People Management:
  • Manage a team of ML engineers including hiring, mentoring, and performance management.
  • Set clear goals and expectations for the team and provide regular feedback and support to help team members achieve objectives.
  • Identify opportunities for professional development and growth for team members and support their career advancement within the organization.
  • Collaborate with peer engineering leaders influencing outcomes within and outside the team.
  • Actively participate in team agile ceremonies and provide valuable inputs.
Requirements:
  • Good experience and proficiency with JVM language (Java/Kotlin) and experience in Python.
  • Experience in NLP, ML-Ops, and data pipelines.
  • Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn.
  • Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies.
  • Experience with Data processing, feature engineering, and model evaluation techniques.
  • Experience in cloud platforms like Amazon Web Services & Google Cloud.
  • Experience with Model Servers such as Triton Inference server.
  • Experience working in AI/ML-based Analytics products.
  • Exposure and experience in building ML applications/services with cloud scalability.
  • Experience in Kafka and RDBMS such as MySQL & Postgres.
What We Offer:
  • We value our people and offer a competitive salary along with company bonus.
  • A workplace pension scheme.
  • Take what you need holiday package.
  • Private medical insurance.
  • Dental plan.
  • Group life assurance.
  • Employee assistance programme.
  • A monthly wellness allowance.

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