Turing is seeking a talented Data Scientist / Machine Learning Engineer to join our growing team of AI professionals. In this role, you will leverage your expertise in data science and machine learning to solve complex business problems, design predictive models, and deploy scalable AI solutions. If you are passionate about working on cutting-edge technologies and applying data-driven strategies to make an impact, this role is for you.
Key Responsibilities
- Develop, train, and optimize machine learning models for predictive analytics and decision-making.
- Analyze large datasets to extract insights and identify trends that drive strategic business decisions.
- Build end-to-end data pipelines to automate data processing and feature engineering.
- Collaborate with cross-functional teams, including engineers and business stakeholders, to define requirements and deliver solutions.
- Research and implement new algorithms, tools, and technologies to enhance the company’s AI capabilities.
- Deploy machine learning models into production and monitor their performance.
What We’re Looking For
- Experience: 3-5 years of hands-on experience in data science and machine learning.
- Skills:
- Strong programming skills in Python and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in working with databases (SQL, NoSQL) and big data tools (Spark, Hadoop).
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of MLOps practices is a plus.
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
