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Capgemini Job Overview
Position: Python Machine Learning Engineer
Location: Bengaluru, Karnataka
Employment Type: Full Time
Company: Capgemini Engineering
Company Overview
At Capgemini Engineering, we lead the world in engineering services, bringing 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, providing unique R&D and engineering services across all industries. Join us for a career full of opportunities, where you can make a difference and where no two days are the same.
Job Description
Capgemini Engineering is looking for an experienced Python Machine Learning Engineer to join our dynamic team. This role requires expert knowledge in Python and machine learning libraries, as well as proficiency in deploying models in production environments.
Key Responsibilities:
- Utilize expert knowledge in Python to develop and optimize machine learning models.
- Apply popular machine learning libraries and frameworks, such as TensorFlow, Keras, and scikit-learn.
- Implement clustering algorithms (e.g., K-means, hierarchical clustering) to group similar data points.
- Utilize classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition.
- Apply Natural Language Processing (NLP) techniques and develop recommendation systems.
- Design and optimize database schemas for efficient data retrieval, working with both relational and non-relational databases like MySQL.
- Manage object-oriented analysis and design, multi-threading, multi-process handling, and memory management.
- Evaluate models using appropriate metrics and techniques, ensuring they are production-ready.
- Work within an Agile Scrum team, using version control systems like Git for collaborative development.
Primary Skills:
- Python Coding: Excellent proficiency.
- Machine Learning Libraries & Frameworks: Extensive knowledge.
- Communication Skills: Strong ability to convey technical concepts.
- Data Modeling: Good understanding and application.
Understanding Machine Learning
Machine Learning (ML) is revolutionizing industries by enabling systems to learn from data, identify patterns, and make decisions with minimal human intervention. At the core of ML is the ability to build algorithms that can analyze large datasets, detect trends, and predict outcomes, which is crucial for tasks like image recognition, natural language processing, and recommendation systems. By leveraging frameworks such as TensorFlow and Keras, engineers can develop sophisticated models that continuously improve and adapt over time, driving innovation in fields like healthcare, finance, automotive, and more. At Capgemini Engineering, our focus on machine learning not only pushes the boundaries of technology but also provides tangible solutions that address real-world challenges.
Why Join Capgemini?
At Capgemini, we offer a career full of challenges and opportunities in a dynamic environment. You will work on cutting-edge technology, collaborate with a global team of experts, and have the chance to shape the future of engineering.
Apply Today to be part of a world-leading engineering team.
