ML Engineer
ML Engineer
brillio (BENGALURU, KARNATAKA, India )
ML Engineer job in Brillio. To automate predictive models for suggested searches, virtual assistants, translation applications, chatbots, and autonomous automobiles, machine learning developers create self-running AI software. They create machine learning systems, use algorithms to produce precise forecasts, and fix issues with data sets.
To optimize our machine learning systems, we are seeking a highly skilled machine learning engineer. You will be assessing current machine learning (ML) procedures, analyzing data sets statistically to find solutions, and improving the predictive automation accuracy of our AI software.
Skills set Required for this Job :
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD is a plus.
- Experience: Proven experience as a Machine Learning Engineer or similar role, with a strong portfolio of deployed machine learning models.
- Technical Skills: o Proficiency in programming languages such as Python, R, or Java. o Strong understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Experience with data processing tools like Pandas, NumPy, and SQL.Â
- Knowledge of big data technologies such as Hadoop, Spark, and distributed computing.
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
- Analytical Skills: Strong problem-solving skills and the ability to analyze complex datasets.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.Â
- Team Player: Ability to work collaboratively in a fast-paced, team-oriented environment. Preferred Qualifications
- Experience with MLOps: Knowledge of machine learning operations (MLOps) practices, including continuous integration/continuous deployment (CI/CD) for machine learning.
Job Responsibilities
- Design and Development: Design, build, and deploy scalable machine learning models to solve business problems.
- Data Preparation: Collect, preprocess, and analyze large datasets for training and validation of models.
- Model Training and Optimization: Train machine learning models, perform hyperparameter tuning, and optimize algorithms for performance.
- Model Deployment: Implement and deploy machine learning models into production environments, ensuring robustness and scalability.
- Monitoring and Maintenance: Monitor model performance in production and retrain models as needed to maintain accuracy and efficiency.
- Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions.
- Research and Innovation: Stay updated with the latest research and advancements in machine learning and AI, and integrate new techniques into existing systems.
- Documentation: Create and maintain documentation for models, data pipelines, and other technical processes.Â
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What are the important dates & deadlines?
Application Deadline
Although they did not provide a deadline for application submission, attempt to apply as soon as you can to gain priority.
Additional Information
Job Location(s)
BENGALURU, KARNATAKA, India
Experience
Freshers / Experience
Salary
Best in industry
Job Type/Timing
Job Type: In Office Job Timing: Full Time
