Instructions To Be Followed Before Applying for the Job:
Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Requirements:
- Expert knowledge in Python
- Expert knowledge in popular machine learning libraries and frameworks, such as TensorFlow, Keras, scikit-learn.
- Proficient understanding and application of clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points.
- Expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition
- Natural language Processing and recommendation systems.
- Proficiency in working with databases, both relational and non-relational like MySQL with experience in designing database schemas
- And optimizing queries for Efficient data retrieval.
- Strong knowledge in areas like Object Oriented Analysis and Design, Multi-threading, Multi process handling and Memory management.
- Good knowledge model evaluation metrics and techniques.
- Experience in deploying machine learning models to production environments.
- Currently working in an Agile scrum team and proficient in using version control systems (e.g., Git) for collaborative development.
Skills:
- Excellent in Python Coding
- Excellent in Communication Skills
- Good in Data modelling, popular machine learning libraries and framework
Location: Bangalore
Eligibility Criteria:
1)Any graduate