استخدام Machine Learning Engineer
شرح موقعیت شغلی
About Jabama:
At Jabama, data drives our decisions. Technology is at our core. Innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning, the friends one makes, the journeys one takes, and the sights one sees. Through our products, partners and people, we can empower everyone to experience the profundity of our beloved country’s landscape.
At Jabama, data drives our decisions. Technology is at our core. Innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning, the friends one makes, the journeys one takes, and the sights one sees. Through our products, partners and people, we can empower everyone to experience the profundity of our beloved country’s landscape.
About the Role:
Machine Learning, and AI in general, are integral to Jabama’s goal of making it easier for everyone to experience the world. Here, we are developing strategies to reach the right customers at the right time. We are developing large-scale machine learning frameworks that capture customers’ intent and introduce them to a journey with Jabama, and work on mastering our bidding and optimization mechanisms within the competitive space of the digital travel industry.
Machine Learning, and AI in general, are integral to Jabama’s goal of making it easier for everyone to experience the world. Here, we are developing strategies to reach the right customers at the right time. We are developing large-scale machine learning frameworks that capture customers’ intent and introduce them to a journey with Jabama, and work on mastering our bidding and optimization mechanisms within the competitive space of the digital travel industry.
This presents machine learning engineers with a unique set of challenges to build and maintain highly reliable ML infrastructure, ML data and feature processing workflows, reusable toolings and frameworks for fellow engineers and Applied ML Scientists and collaborate with coworkers from ML and Data crafts to achieve business gains via ML/Data innovations
- What You’ll Be Doing:
Work in a multi-disciplined, highly skilled team where you will be developing scalable production-grade data and ML pipelines across the entire ML cycle while working closely with the teams’ data scientists. - Utilizing and maintaining the infrastructure for technologies like Spark, ElasticSearch, PostgreSQL, Kafka, Airflow and diverse set of ML frameworks.
- Be responsible for SLIs/SLOs for ML systems, ensure system and model health, monitor data quality, performance and business impact, and devise mitigation plans.
- Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality, and make choices over the right technologies and coding methodologies.
- Identify underlying issues and opportunities across the ML build life-cycle and introduce tools to be used within and outside the team for efficient development and testing.
- Continuously evolve your craft, keeping up to date with the latest technologies.
- Collaborate with other ML engineers across the company to improve, scale and extend machine learning tooling and infrastructure.
Requirements:
- 2+ years of relevant work experience, involved with the application of Machine Learning Engineering to business problems in a commercial environment.
- Willingness to learn and understand complex and multidisciplinary business problems and concepts related to Jabama business operations.
- Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput.
- Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
- Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Go and Python, and strong command of SQL is strictly required. Knowledge of Scala is a big plus.
- Strong working knowledge of big data retrieval and processing tools
- Experience with relational (SQL) and non-relational databases(No-SQL) like PostgreSQL, MySQL, Redis, ClickHouse, and ElasticSearch.
- Understanding the model build life-cycle, including feature engineering and optimization, model selection and validation, and ongoing model maintenance.
- You have a ‘can do’ attitude and you act proactively and not reactively.
- BSc or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
- Excellent English communication skills, both written and verbal.
مهارتهای مورد نیاز
- یادگیری ماشین
- Phyton
- SQL
- کدنویسی
حداقل سابقه کار
- کمتر از سه سال
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- مهم نیست