ID: 31088
As the ML Manager, you will manage a team of ML scientists & engineers, Data scientists & engineers which all work on different aspects for ranking/recommendation of products.
You will lead & own all related technical aspects of the ML based solution and collaborate with additional stakeholders (Engineering & Product) for providing the best outcome for our customers.
As a technical manager, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML roadmap, and not be afraid to get your hands dirty with code when needed.
As the ML manager of the team, you are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will empower and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.
As the ML Manager, you will manage a team of ML scientists & engineers, Data scientists & engineers which all work on different aspects for ranking/recommendation of products.
You will lead & own all related technical aspects of the ML based solution and collaborate with additional stakeholders (Engineering & Product) for providing the best outcome for our customers.
As a technical manager, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML roadmap, and not be afraid to get your hands dirty with code when needed.
As the ML manager of the team, you are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will empower and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.
Requirements:
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker and training models using TensorFlow or PyTorch
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience with experimental design, A/B testing, and evaluation metrics for ML models.
Experience of working on products that impact a large customer base is an advantage
Advanced knowledge and experience in Recommendation systems, including engineering aspects of developing ML models at scale.
Experience designing and driving end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
Excellent English communication skills, both written and verbal.
3+ years leading an ML team of a minimum of 4 people in a fast-paced production environment.
Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and leading your key team-performance indicators.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker and training models using TensorFlow or PyTorch
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience with experimental design, A/B testing, and evaluation metrics for ML models.
Experience of working on products that impact a large customer base is an advantage
Advanced knowledge and experience in Recommendation systems, including engineering aspects of developing ML models at scale.
Experience designing and driving end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
Excellent English communication skills, both written and verbal.
3+ years leading an ML team of a minimum of 4 people in a fast-paced production environment.
Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and leading your key team-performance indicators.
This position is open to all candidates.
