Genpact Career 2024 Invites Students From Various Disciplines to apply for the Position of Management Trainee – Data Scientist in Gurgaon, India. Below you will find more details about what you need to know if you are Interested and Eligible
Genpact Recruitment Details :-
| Company Name: | Genpact |
| Post Name: | Management Trainee – Data Scientist |
| Expected Salary: | INR 4.5-7 LPA (via Glassdoor) |
| Job type: | Freshers/Experienced |
| Job Location: | Gurgaon, India(Hybrid) |
Job Description & Responsibilities:-
- 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.
Eligibility Criteria :–
- Relevant 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
Required Skills Set:-
- MLOps certification in AWS or Azure
- Strong proficiency in Python libraries such as NumPy, Pandas, Scikit-learn, and PyTorch
- Extensive experience with deep learning frameworks and techniques
- 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
How to Apply:-
We’re committed to providing a supportive and simplified experience for our candidates throughout the application and assessment process. Here, you will find information about what to expect and some guidance around your assessment and interview.
While the application process depends on the role, there are some constant steps, which are;
Step 1 – Your application
Step 2 – Your assessment
Step 3 – Your interview
Step 4 – Next steps
Apply Link:- Click Here To Apply
(Apply before the link expires)
