Job Summary

In the machine learning engineer job you will build and improve intelligent software systems that can teach you from data and make best decisions on the time. This job is great for you if you love math, programming and solving real world problems using artificial intelligence(AI).

For this job, you do not need to be an expert but you should be good in programming and machine learning fundamentals. If you enjoy working with data, creating models and helping computers learn then this job is best for you.

1.Key Responsibilities

As a Machine Learning Engineer, your work will:

• You will collect and clean data from various sources to prepare it for modeling.
• You have to explore and analyze datasets to understand patterns and relationships.
• You will create and train machine learning models (e.g., regression, classification, clustering, neural networks).
• You have to evaluate model performance using metrics like accuracy, precision, recall, and F1-score.
• You have to optimize model performance through feature engineering and parameter tuning.
• You will deploy models into production systems and applications.
• You should have a monitor model behavior to detect errors and unintended behavior.
• You have to collaborate with data scientists, software engineers and product teams.
• You have to document data processes, code and model decisions.
• You should stay updated on new technologies and research in machine learning and AI.

In this job, you will learn to build smarter products that serve users better.

2.Required Skills and Qualifications

If you want this job then you should have:

• A degree in Computer Science, Data Science, Mathematics and related field.
• 2 to 5 years of experience building machine learning models and systems.
• Strong programming skills are requesting in Python.
• You should have knowledge of frameworks such as TensorFlow, PyTorch and Keras.
• You should have experience working with structured and unstructured data that will be helpful.
• You should have Understanding of common model types.
• You should have the ability to write clean, organized and documented code.
• Good analytical methods and problem solving mindset.
• Basic knowledge of cloud services for model deployment.
• Solid communication skills and ability to work as part of a team.
• If you have Previous experience working with SQL, Docker and MLOps tools like MLflow is a good option.

3.Preferred Qualifications:

• You should have experience with deep learning architectures.
• You should have familiarity with big data tools like Spark and Hadoop.
• You should have experience deploying models using REST APIs, Kubernetes and serverless platforms.
• You should have knowledge of version control (Git), CI/CD pipelines and model monitoring.
• You should have publications and interest in machine learning research papers and conferences.

4.Work Environment:

• Remote friendly, hybrid and in office options.
• Standard work hours (9 AM – 5 PM) and flexible schedules.
• You should collaborative environment with supportive colleagues.
• You should have access to the latest tools, hardware and learning resources.

5.What You’ll Gain from this job:

• You will gain impactful work in building AI powered products.
• You will have a chance to sharpen your skills in machine learning and software engineering.
• You will gain professional growth through mentorship, training and certifications.
• You will have access to modern tools and real world ML challenges.
• You will have potential for future advancement.
• You will gain a stable job in a fast growing and evolving tech field.

If you love experimenting and building intelligent systems then this job is the best option for you.

6.Salary & Benefits

This type of job offers a competitive salary with industry standards for mid level to senior machine learning engineers. Some Additional benefits are:

1. Performance bonuses.
2. Health, dental and vision insurance.
3. Paid time off and holidays.
4. Education and certification support.
5. Retirement savings plans.
6. Equipment allowance.

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7.How to Apply

If you are ready to apply for this job then follow these steps:

1. Click the “Apply Now” button on this listing.

2. Upload your CV and resume.

3. Write a short message telling why you want this job, any experience you have and what skills you have.