Senior Machine Learning Engineer

Job description

INSIGNIA.ID help brands expand their market and increase their ROI by transforming faster, growing bigger, retaining better by incubating technology products that enable digital transformation reachable for more companies. Products incubated range from automated chatbot commerce, real-time marketplace intelligence for ecommerce, CRM ecosystem technology, to automated personalization of loyalty programs.

Have responsibilities to

• Develop, implement, and optimize machine learning models to address specific business challenges and enhance decision-making processes.
• Building, deploying, and maintaining machine learning models and algorithms to support predictive and prescriptive analytics.
• Developing, testing, and deploying data pipelines, extract-transform-load (ETL) processes, and other data processing systems.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand project requirements and deliver effective machine learning solutions.
• Collect, clean, and preprocess large datasets, ensuring their suitability for training and testing machine learning models.
• Train and evaluate machine learning models, fine-tuning them to achieve optimal performance and accuracy.
• Integrate machine learning models into production systems or applications, ensuring seamless deployment and monitoring their ongoing performance.
• Stay updated on the latest advancements in machine learning and artificial intelligence, applying state-of-the-art techniques to projects.

Qualification

• A Bachelor's degree in a related field, such as mathematics, statistics, computer science, or data science.
• Having experience in presales or as a solution architect will be a plus point.
• Strong proficiency in programming languages such as Python, R, or SQL, and experience with machine learning libraries and frameworks, Tensorflow, or PyTorch.
• Several years of experience working as a data engineer, with a proven track record of delivering complex data solutions.
• Expertise in database management systems such as MySQL, Oracle, or PostgreSQL, as well as NoSQL databases such as MongoDB, Cassandra, and DynamoDB.
• Advanced experience with data modeling techniques and tools such as ER diagrams, data flow diagrams, and dimensional modeling.
• Deep knowledge of data processing and ETL tools and technologies such as Apache Spark, Apache Kafka, and Apache Hadoop.
• Experience with agile development methodologies, DevOps practices, and CI/CD pipelines.
• Strong familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platforms, including expertise with cloud-native data services such as Amazon Redshift, Google BigQuery, and Azure Synapse Analytics.
• Extensive experience with statistical analysis and data manipulation techniques, such as regression analysis, hypothesis testing, and data cleaning.
• Ability to create advanced visualizations and dashboards to communicate insights and findings to stakeholders, including senior leadership.
• A proven track record of identifying and implementing innovative data-driven solutions that deliver business value.

Notes

• Working Mode : Hybrid
• Work Location : West Jakarta