DescriptionResponsibilities:
- Design develop and implement machine learning models and algorithms to solve complex problems.
- Analyze and preprocess large datasets to extract relevant features and insights.
- Collaborate with cross-functional teams to integrate AI/ML solutions into existing applications.
- Conduct experiments and validate model performance using appropriate metrics.
- Stay updated with the latest advancements in AI and ML technologies and frameworks.
- Document methodology processes and results for internal and external stakeholders.
RequirementsRequirements:
- Bachelors or Masters degree in Computer Science Data Science Statistics or a related field.
- Proven experience in developing machine learning models and algorithms.
- Proficient in programming languages such as Python or R along with ML libraries like TensorFlow or PyTorch.
- Strong foundation in statistics data analysis and data visualization.
- Experience with data manipulation and analysis tools (e.g. Pandas NumPy).
- Familiarity with cloud-based platforms (AWS GCP or Azure) for ML deployment.
- Strong problem-solving and analytical skills.
- Excellent communication skills and ability to work in a collaborative environment.
(EA Reg No: 20C0312)
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Only shortlisted candidates will be notified.
Benefits