Genpact is hiring off-campus drives for the position of Trainee – Data Scientist for Gurgaon. Eligible candidates please follow the required steps and prepare well for the position. Please find the Apply Link below.
Sutherland Recruitment:-
Position: Trainee – Data Scientist
Salary: INR 5-9 LPA* (Expected)
Degree: Bachelor / Master’s Degree
Batch: 2019/2020/2021/2022/2023/2024
Experience: Freshers/Experienced
Location: Gurgaon.
JOB DESCRIPTION:-
- Design and develop advanced statistical, machine learning, and deep learning models to address complex business challenges.
- Fine-tune transformer models to optimize performance for specific tasks and domains.
- Execute ETL processes to clean, transform, and prepare data for analysis and model building.
- Implement ML-Ops practices for seamless model deployment and efficient lifecycle management.
- Analyze large datasets using advanced statistical methods and machine learning techniques.
- Effectively communicate findings and actionable insights to stakeholders.
ELIGIBLITY CRITERIA–
- elevant years of experience in data science and machine learning roles
- Strong understanding of data modeling, statistical analysis, and machine learning techniques
- Expertise in Python for application development, including data processing and analysis
- Educational background in fields like Computer Science, IT, Machine Learning, and Data Science
- MLOps certification in AWS or Azure
IMPORTANT POINTS:-
- Hands-on experience fine-tuning transformer models like BERT, GPT, and T5
- Knowledge of database systems (e.g., SQL, NoSQL) with experience in data warehousing and data lake architectures
- Experience with ETL processes and working with data warehouses
- Solid understanding of statistical modeling and machine learning algorithms with practical applications
- Familiarity with MLOps practices and tools such as MLflow, Kubeflow, or similar
- Strong understanding of classification, regression, and graph transformer techniques and their applications
- Experience in root cause analysis and implementing statistical methods for causal inference and experimental design
- Excellent problem-solving, analytical, and critical thinking skills
- Strong communication and collaboration abilities to work effectively in cross-functional teams
- Passionate about staying updated with the latest advancements in data science, machine learning, and related technologies
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