Urgent! Machine Learning Engineer - Python Job Opening In Bengaluru – Now Hiring Catalyst IQ
<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)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19853 jobs in India and 1612 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Catalyst IQ 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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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:The average salary range for a Machine Learning Engineer Python Jobs India 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.
Key qualifications for Machine Learning Engineer Python typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview: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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