
Data Scientist with Databricks Expertise
5 days ago
We seek a highly skilled data scientist to join our client, one of the most advanced IT companies. This role involves designing, developing, and deploying machine learning models and algorithms using Databricks to solve complex business challenges.
About the Role:
This position requires a strong background in machine learning engineering and experience with Databricks. The ideal candidate will have a solid understanding of programming languages such as Python, R, or Java, with proficiency in machine learning libraries and frameworks.
Key Responsibilities:
- Design and implement machine learning models and algorithms with Databricks, including predictive analytics, natural language processing, computer vision, and more.
- Lead the end-to-end development process, from data collection and preprocessing to model deployment and monitoring.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Optimize and fine-tune models for performance, accuracy, and scalability in a production environment.
- Stay up-to-date with the latest advancements in machine learning and AI, and apply them to improve existing systems.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field; PhD is a plus.
- 3+ years of experience in machine learning engineering or related fields.
- 2+ years of experience with Databricks.
- Proficiency in programming languages such as Python, R, or Java, with a strong understanding of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and monitoring.
Benefits:
- Remote work option.
- Contract employment type.
- Location: India.
- Duration: 1 year (with potential to be extended).
- Hours per Week: 40 (Full-time).
About Us:
We are an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
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