Data Analyst - B

Capegemini

Posted: Sept. 17, 2024 Openings: 10 Experience: 0-2 Salary: Preferred by Company
Education: B.Sc/ M.Sc/ B.E/ M.E./ B.Com/ M.Com/ BBA/ MBA/B.Tech/ M.Tech/ All Graduates Location: Pune
Job Type: Full Time Skills required: Python .net React Native Django Javascript HTML CSS Typescript Communication Skills Power Bi Numpy Pandas Sql machine learning Data Analysis Coimbatore Data Science Java Adobe XD Figma php wordpress Artificial Intelligence Excel

Job description

Job Title: Machine Learning Engineer

Location: [Location]

Job Description:

As a Machine Learning Engineer, you will be responsible for developing and maintaining features for an internal machine learning model designed to identify errors in vehicle telematics. You will be an integral part of an Agile Scrum team, working on various modules and subsystems within the test framework.

Job Responsibilities:

Develop new features and fix bugs for a machine learning model that detects errors in vehicle telematics.
Collaborate with an Agile Scrum team, focusing on different modules or subsystems of the test framework.
Implement and refine machine learning algorithms and models for accuracy and performance.
Engage in all stages of the model lifecycle, from development through deployment and production.

Mandatory Skills:

Expertise in Python: Proficient in Python programming with extensive experience in machine learning applications.
Machine Learning Libraries: Deep knowledge of popular libraries and frameworks such as TensorFlow, Keras, and scikit-learn.
Clustering Algorithms: Proficient in applying clustering algorithms like K-means and hierarchical clustering for data grouping.
Classification Algorithms: Expertise in classification algorithms including decision trees, support vector machines, and random forests for tasks such as image recognition and natural language processing.
Database Management: Skilled in working with both relational and non-relational databases (e.g., MySQL), including designing schemas and optimizing queries.
Technical Proficiency: Strong understanding of Object-Oriented Analysis and Design, multi-threading, multi-process handling, and memory management.
Model Evaluation: Good knowledge of model evaluation metrics and techniques.
Model Deployment: Experience in deploying machine learning models to production environments.
Agile Experience: Currently working in an Agile Scrum team with proficiency in version control systems such as Git.

Desired Skills:

RESTful API Knowledge: Experience in designing and implementing RESTful APIs, with development experience using frameworks like Flask or Dash.
Automotive Protocols: Familiarity with automotive communication protocols including SOME-IP, SOME-IP SD, CAN, Flexray, MOST, and Ethernet.
Communication Skills: Excellent verbal and written communication skills to effectively collaborate with team members and stakeholders.