Add office photos
All Filters
323 Cloud Counselage Jobs
Jr. Machine Learning Engineer
Cloud Counselage
posted 3mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Looking for a Junior Machine Learning Engineer to join our dynamic team. The ideal candidate will assist in developing, implementing, and maintaining machine learning models and algorithms to solve complex business problems. You will work closely with senior engineers and data scientists to design, experiment, and deploy machine learning solutions. This role offers an excellent opportunity to grow your skills in a collaborative environment while contributing to cutting-edge projects.
Responsibilities:
- Collaborate with senior engineers and data scientists to understand project requirements and design machine learning solutions
- Develop, test, and deploy machine learning models and algorithms
- Pre-process data, perform feature engineering, and explore data to identify patterns and insights
- Evaluate model performance, troubleshoot issues, and optimize algorithms for scalability and efficiency
- Stay updated with the latest machine learning techniques, tools, and technologies
- Document code, processes, and results thoroughly for reproducibility and knowledge sharing
- Assist in integrating machine learning models into production systems and workflows
- Participate in code reviews, team meetings, and brainstorming sessions to contribute ideas and improvements
Mandatory Requirements:
- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, or related field
- 1-2 years of experience in machine learning or data science
- Solid understanding of machine learning fundamentals and algorithms such as regression, classification, clustering, and neural networks
- Proficiency in programming languages such as Python, R, or Java, with experience in libraries like TensorFlow, PyTorch, scikit-learn, or Keras
- Experience with data manipulation, visualization, and analysis using tools like pandas, NumPy, or matplotlib
- Familiarity with version control systems like Git and collaborative development workflows
Preferred Qualifications:
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of big data technologies like Hadoop, Spark, or Kafka
- Understanding of software engineering principles and practices
- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes
- Experience with deep learning frameworks and architectures
- Contributions to open-source projects or participation in machine learning competitions
Qualities:
- Strong problem-solving skills and attention to detail
- Excellent communication and teamwork abilities
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Machine Learning Engineer roles with real interview advice
People are getting interviews at Cloud Counselage through
People are getting interviews through
(based on 2 Cloud Counselage interviews)
Company Website
100%
Low
Confidence
?
Low Confidence means the data is based on a small number of responses received from the candidates.
What people at Cloud Counselage are saying
Machine Learning Engineer salary at Cloud Counselage
reported by
1
employee
₹0.9
L/yr - ₹1.1
L/yr
90%
less
than the average Machine Learning Engineer Salary in India
View more details
What Cloud Counselage employees are saying about work life
based on 24 employees
Flexible timing
Monday to Friday
No travel
Cloud Counselage Benefits
Work From Home 
Job Training 
Soft Skill Training 
Education Assistance 
Team Outings 
Compare Cloud Counselage with
TCS
Compare
Infosys
Compare
Wipro
Compare
HCLTech
Compare
Tech Mahindra
Compare
Cognizant
Compare
Accenture
Compare
Capgemini
Compare
IBM
Compare
Oracle
Compare
Exl India
Compare
Primus Global Technologies
Compare
Amazon Sellers Services
Compare
GAMMON INDIA
Compare
Educomp Solutions
Compare
TriGeo Technologies
Compare
Baoiam Innovations
Compare
Magneti Marelli Motherson Auto System
Compare
HBL Global
Compare
GrapplTech
Compare
Similar Jobs for you
Share an Interview