About the Role
We are seeking a passionate machine learning engineer who is dedicated to staying updated with the latest advancements in ML. This full-time role involves applying ML, deep learning, and signal processing to diverse datasets (audio, sensors, images, videos, and text) to develop robust models. You’ll be responsible for architecting large-scale data analytics and modeling systems, integrating machine learning methods into frameworks, and evaluating data with statistical rigor.
| Job Description | Details |
|---|---|
| Company Name | Not specified |
| Post Name | Machine Learning Engineer |
| Employment Type | Full-time |
| Location | Ahmedabad, Pune |
| Expected CTC | Not specified |
| Vacancy | Not specified |
| Starting Date | Not specified |
| Application Deadline | Not specified |
Responsibilities
- Apply machine learning, deep learning, and signal processing techniques to large datasets.
- Architect and design scalable data analytics and modeling systems.
- Program machine learning algorithms and integrate them into ML frameworks and pipelines.
- Analyze data from various sources and validate it using statistical methods.
- Communicate findings effectively to non-technical stakeholders.
- Write algorithm specifications, data analysis reports, and documentation.
- Evaluate and incorporate new ML methods and perform feature engineering for model enhancement.
- Follow secure development, testing, and deployment practices.
Requirements
- Education: B.E./B.Tech./B.S. with significant knowledge in machine learning, deep learning, NLP, or image, signal, or video processing.
- Strong programming skills in Python, C/C++, R, Java, and understanding of software engineering concepts (OOP, design patterns).
- Proficiency in machine learning libraries like TensorFlow, Jax, Keras, Scikit-Learn, PyTorch.
- Excellent mathematical skills include accuracy, significance tests, visualization, and advanced probability concepts.
- Ability to conduct independent and collaborative research.
- Strong written and verbal communication skills.
- Experience with distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, and Dataflow) is advantageous.
- Knowledge of systems engineering is a plus.
Why Apply?
This role offers the opportunity to work on cutting-edge machine learning projects, contribute to large-scale systems, and collaborate in a dynamic, cross-disciplinary environment. If you’re passionate about advancing ML technologies and thrive in a challenging yet rewarding role, apply now!
Application Process
To apply for or learn more about this position, visit the company’s website or application portal. If you meet the requirements and are eager to leverage your ML expertise, this role could be an ideal fit for your career growth.
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