Affine - Data Scientist - Artificial Intelligence/Machine Learning
1 month ago
Key Responsibilities :
- Complete accountability for delivering 1-2 projects from conception to implementation
- Managing the team of Associates and Senior Associates
- Interviewing client intelligently to learn important figures and gather requirements
- Managing project timing, client expectations and meeting deadlines
- Creating smart & impactful PowerPoint presentations
Design and Development :
- Develop machine learning models and algorithms to solve complex business problems.
- This includes data preprocessing, feature engineering, model training, and optimization.
Model Deployment :
- Deploy models into production, ensuring scalability, reliability, and performance.
- Collaborate with DevOps teams to integrate models into existing systems.
Data Analysis :
- Analyze large datasets to extract actionable insights and identify trends.
- Use statistical methods and machine learning techniques to build predictive models.
Research and Innovation: Stay up-to-date with the latest AI/ML research and technologies. Experiment with new models, frameworks, and tools to improve existing processes and solutions.
Collaboration :
- Work closely with data scientists, engineers, and product teams to understand business requirements and translate them into AI/ML solutions.
Documentation :
- Maintain comprehensive documentation of models, algorithms, and processes to ensure reproducibility and knowledge sharing within the team.
Mentorship :
- Provide guidance and mentorship to junior team members, helping them grow their technical skills and understanding of AI/ML concepts.
Technical Expertise :
- Strong programming skills in Python.
- Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Gen AI
- Experience with deep learning, NLP, computer vision, or other AI domains.
- Proficiency in working with databases, SQL.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes).
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