7 ELEMENT INFOMATICS Jobs
Data Scientist - Machine Learning (3-5 yrs)
ELEMENT INFOMATICS
posted 6d ago
Key skills for the job
Job Description :
Responsibilities :
- Work on a variety of machine learning projects, including classification, regression, and clustering problems.
- Develop, implement, and evaluate machine learning models to solve real-world business challenges.
- Perform data analysis and exploration to understand data characteristics and identify patterns.
- Clean, pre-process, and transform data for machine learning model development.
- Visualize and communicate insights effectively to technical and non-technical audiences.
- Collaborate with data engineers, analysts, and product managers to translate business requirements into technical solutions.
- Continuously monitor and improve the performance of machine learning models.
- Stay up-to-date with the latest advancements in machine learning algorithms and techniques.
- Participate in the development and maintenance of a robust data science infrastructure using Git/GitHub for version control.
- Utilize SQL to extract and manipulate data for analysis and model development.
Nice to Haves :
- Experience deploying end-to-end machine learning solutions using frameworks like FastAPI or Flask.
- Familiarity with deep learning frameworks like PyTorch or TensorFlow.
- Experience setting up and configuring Remote Access Gateways (RAGs) in GenAI (a plus).
Qualifications :
- Master's degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience).
- Proven experience 3+ years working with traditional machine learning techniques (classification, regression, clustering).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Proficiency in Python programming languages and libraries (NumPy, Pandas, scikit-learn).
- Basic understanding of database concepts and proficiency in SQL.
- A passion for learning and staying up-to-date with the latest advancements in data science
Functional Areas: Other
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