Machine Learning Engineer Machine Learning Engineer

We are seeking a talented and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and algorithms that drive our products and services. This role requires a deep understanding of machine learning techniques, strong programming skills, and the ability to work collaboratively in a fast-paced environment.

Job desc:

• Develop, implement, and optimize machine learning models to address specific business challenges and enhance decision-making processes.
• Building, deploying, and maintaining machine learning modelsand algorithms to support support Image, Copywriting, and Video Generation.
• Developing, testing, and deployingsource code pipelines of the developed AI Engine.
• Collaborate with cross-functional teams, including data scientists, softwareengineers, and domain experts, to understand project requirements and deliver effective machine learning solutions.
• Collect, clean, and preprocess large datasets, ensuringtheir suitability for training and testing machinelearning models.
• Train and evaluatemachine learning models,fine-tuning them to achieve optimalperformance and accuracy.
• Integrate machine learning models into productionsystems or applications, ensuring seamless deploymentand monitoring their ongoing performance.
• Stay updated on the latest advancements in machine learningand artificial intelligence, applying state-of-the-art techniques to projects.

• A Bachelor's degreein a related field, such as computer vision, IT, IS, and other related.
• Strong proficiency in programming languages such as Python, R, or SQL, and experience with machine learning libraries and frameworks, such as Stable diffusion, Open AI, and other similar AI solutions.
• Several years of experience workingas a data / AI Engineer, with a proven track record of delivering complexdata solutions.
• Expertise in database management systems such as MySQL, Oracle, or PostgreSQL, as well as NoSQLdatabases such as MongoDB, Cassandra, and DynamoDB.
• Deep knowledge of data processing and ETL tools and technologies such as Apache Spark, Apache Kafka, and Apache Hadoop.
• Experience with agiledevelopment methodologies, DevOps practices, and CI/CD pipelines.
• Strong familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure,and Google Cloud Platform, 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 datacleaning.
• Ability to create advancedvisualizations and dashboards to communicate insightsand findings to stakeholders, includingsenior leadership.
• A proven track record of identifying and implementing innovative data-driven solutions that deliver businessvalue.

• Opportunity to become a Permanent Employee
• Professional Development
• Hybrid Work Arrangement
• Daily lunch at Work
• Device will be provided by Company