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Machine Learning Engineer - Python Job Opening In Bengaluru – Now Hiring Catalyst IQ


Job description

<p><p><b>Description :</b> Years of Experience : 6.0-10.0 Years<br/><br/><b>Job Title :</b> Machine Learning Engineer (Python Coding with ML Experience)<br/><br/><b>Location :</b> Bangalore (5 days WFO)<br/><br/>NO WFH allowed at the moment.<br/><br/><b>Job Summary :</b> We are seeking a highly skilled and versatile Machine Learning Engineer who embodies the rare combination of a strong software engineer and ML exposure with experience in designing, developing, and maintaining robust, scalable, and efficient software applications using Python, with a strong emphasis on Object-Oriented Programming principles to manage hyperparameters, encapsulate evaluation metrics, and create controlled interfaces for model wrappers.

You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features.

This demands a blend of analytical rigor, coding prowess, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Coding : Write clean, efficient, and well-documented Python code adhering to OOP principles (encapsulation, inheritance, polymorphism, abstraction).

Experience with Python and related libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).

They are responsible for the entire ML pipeline, from data ingestion and preprocessing to model training, evaluation, and deployment<br/><br/>- End-to-End ML Application Development : Design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant.<br/><br/>- Software Design & Architecture : Apply strong software engineering principles to design and build clean, modular, testable, and maintainable ML pipelines, APIs, and services.

Contribute significantly to the architectural decisions for our ML platform and applications.<br/><br/>- Data Engineering for ML : Design and implement data pipelines for feature engineering, data transformation, and data versioning to support ML model training and inference.<br/><br/>- MLOps & Productionization : Establish and implement best practices for MLOps, including CI/CD for ML, automated testing, model versioning, monitoring (performance, drift, bias), and alerting systems for production ML models.<br/><br/>- Performance & Scalability : Identify and resolve performance bottlenecks in ML systems.

Ensure the scalability and reliability of deployed models under varying load conditions.<br/><br/>- Documentation : Create clear and comprehensive documentation for ML models, pipelines, and services.<br/><br/><b>Required Qualifications :</b><br/><br/>- Education : Masters degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.<br/><br/>- Experience : 5+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar role.<br/><br/>- Must have Programming Skills : Expert-level proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code.

Experience with other languages (e.g., Java, Go, C++) is a plus.<br/><br/>- Strong Software Engineering Fundamentals : Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed systems.<br/><br/>- Good to have Machine Learning Expertise <br/><br/> - Solid theoretical and practical understanding of various machine learning algorithms<br/><br/> - Proficiency with ML frameworks such as PyTorch, Scikit-learn.<br/><br/> - Experience with feature engineering, model evaluation metrics, and hyperparameter tuning<br/><br/>- Data Handling : Experience with SQL and NoSQL databases, data warehousing concepts, and processing large datasets.<br/><br/>- Problem-Solving : Excellent analytical and problem-solving skills, with a pragmatic approach to delivering solutions.<br/><br/>- Communication : Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Experience with big data technologies (e.g., Spark, Hadoop, Kafka).<br/><br/>- Contributions to open-source projects or a strong portfolio of personal projects.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Bengaluru, India, highlighting market share and opportunities for professionals in Machine Learning roles.

19852 Jobs in India
19852
1612 Jobs in Bengaluru
1612
Download Machine Learning Jobs Trends in Bengaluru and India

Are You Looking for Machine Learning Engineer Python Job?

Great news! is currently hiring and seeking a Machine Learning Engineer Python to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Catalyst IQ adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Machine Learning Engineer Python Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer Python?

Key qualifications for Machine Learning Engineer Python typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Machine Learning Engineer Python Job Success

Catalyst IQ interview tips for Machine Learning Engineer   Python

Here are some tips to help you prepare for and ace your Machine Learning Engineer Python job interview:

Before the Interview:

Research: Learn about the Catalyst IQ's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Machine Learning Engineer Python interview at Catalyst IQ, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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