Lead Data Scientist and Machine Learning Engineer
1 month ago
Lalamove is seeking a highly skilled Lead Data Scientist and Machine Learning Engineer to join our team in Data Science Team. As a key member of our leadership team, you will be responsible for driving the direction and architecture of artificial intelligence at Lalamove. This role requires a strong background in data science, machine learning, and software development.
Key Responsibilities:- Shape AI Strategy: Develop and implement a comprehensive AI strategy that aligns with Lalamove's business goals and objectives.
- Lead ML Engineering Team: Mentor and lead a team of experienced machine learning engineers to design, develop, and deploy high-quality AI models.
- Implement Agile Methodologies: Implement Scrum and Agile methodologies within the team to ensure efficient project delivery.
- Data Science Projects: Formulate, plan, and prioritize data science projects that drive business growth and revenue.
- MLOps Workflow: Design and refine the MLOps workflow to streamline machine learning services deployment.
The ideal candidate should possess a proven track record in leading advanced analytics and machine learning projects. A degree in Computer Science, Data Science, Mathematics, or a related field is required. Strong knowledge of Python, SQL, and Java is essential, along with experience in cloud platforms like AWS and Azure. Familiarity with machine learning frameworks and libraries such as Sklearn, TensorFlow, Keras, PyTorch, and Pandas is also necessary.
We offer a competitive salary range of $120,000 - $180,000 per annum, commensurate with experience. In addition to a generous compensation package, we provide opportunities for career growth, professional development, and a collaborative work environment.
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