Lowongan Machine Learning Engineer di PT Data Labs Analytics

Requirements:

• At least 1 year experience in Machine Learning & Data Science
• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. A master's or Ph.D. degree is a plus.
• Proven experience as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning models in real-world applications.
• Proficiency in programming languages such as Python, R, or Scala, with experience in popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning.
• Experience with data manipulation, preprocessing, and feature engineering techniques.
• Strong knowledge of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks (e.g., Hadoop, Spark).
• Proficiency in SQL and database management systems.
• Strong problem-solving skills and the ability to work on complex and ambiguous business problems.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Demonstrated ability to work in a fast-paced and dynamic environment, with a strong sense of ownership and a results-oriented mindset.

Job description :

• Develop and implement machine learning models and algorithms to solve business problems, leveraging both structured and unstructured data.
• Design and build scalable and efficient data pipelines for data ingestion, preprocessing, and feature engineering.
• Collaborate with data scientists to understand business requirements and translate them into technical specifications.
• Conduct exploratory data analysis to gain insights and identify patterns or trends.
• Evaluate and select appropriate machine learning techniques, models, and algorithms based on the project requirements.
• Train, optimize, and fine-tune machine learning models using large-scale datasets.
• Validate and test models for accuracy, reliability, and robustness.
• Monitor and maintain deployed models, ensuring their performance and stability.
• Collaborate with Data Engineers to integrate machine learning models into production systems.
• Stay up to date with the latest advancements in machine learning and related fields, and actively contribute to the team's knowledge base.
• Communicate findings, results, and recommendations to both technical and non-technical to internal stakeholders or customers.

Skills & Competencies:

• Data science
• Machine Learning
• Cloud Services (GCP, AWS, Azure, etc)
• SQL
• Python
• Communication
• Teamwork