Machine Learning Engineer | 0-2 yrs | CloudSEK
CloudSEK Recruitment | Machine Learning Engineer I | 0-2 years | Bengaluru
CloudSEK is seeking a Machine Learning Engineer I to join their dynamic team. The ideal candidate will have a strong background machine learning algorithms, data analysis, and programming skills. Responsibilities include developing ML models, analyzing data sets, and contributing to innovative projects. Join CloudSEK to make an impact in the cybersecurity industry with your expertise. Apply now!
 |
 |
 |
 |
 |
Machine Learning Engineer I (0-2 years)
CloudSEK is hiring for the post of Machine Learning Engineer I. Interested and eligible candidates can read more details below.
Company Name : CloudSEK
Job Location : Bengaluru, KA, India
Job Title : Machine Learning Engineer I
Education : Bachelor’s degree
Experience : 0-2 years
CloudSEK Recruitment 2024
We’re seeking for a Machine Learning Engineer – I with 0-2 years of experience to join our innovative team. As a vital contributor to our AI/ML/DL solutions division, you’ll be instrumental in the complete lifecycle of research, development, and deployment of advanced artificial intelligence and machine learning solutions. Additionally, you’ll play a pivotal role in crafting automation solutions, harnessing your proficiency in Python programming.
Required skills :
⇒ 0-2 years of professional experience in machine learning engineering or a related role.
⇒ Proficiency in Python programming language.
⇒ Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks, etc.)
⇒ Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution, etc.) along with a knack to imagine new schemas that work for the given data.
⇒ Deep familiarity with leading AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and the ability to utilize them effectively in solution development.
⇒ NLP expertise, especially in Language modeling, at-least experience in using pre-trained language models (Transformer /GPT /BERT)
⇒ Basic hands-on experience in databases like Elasticsearch, MongoDB, VectorDBs,etc.
⇒ Strong grasp of natural language processing, computer vision, and multi-modal processing principles.
⇒ Demonstrable experience in building and deploying machine learning models in production environments.
⇒ Sound understanding of software engineering principles and best practices.
⇒ Exceptional problem-solving and analytical skills.
⇒ Ability to thrive in both independent and collaborative work environments.
⇒ Excellent communication and interpersonal abilities.
Qualifications :
⇒ Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform.
⇒ Proficiency in containerization technologies such as Docker and Kubernetes.
⇒ Familiarity with version control systems such as Git.
⇒ Comprehensive knowledge of deep learning architectures and techniques.
⇒ Prior experience with big data processing frameworks.
⇒ Ability to quickly adapt to new tools and technologies.
⇒ **We are currently looking for candidates who can work from the Bangalore office at least 4 days a week (we have 5 days working, Saturday and Sunday off)
⇒ **We are looking for candidates who can join us immediately.
How to Apply :
All interested and eligible candidates can apply in online mode for Machine Learning Engineer I position.
Join our Telegram group: Click here
Follow us on Instagram: Click here
Join our WhatsApp group: Click here
Intern Jobs Recruitment 2024
Salary : The salary for this role is upto ₹15.00 LPA *
About CloudSEK
CloudSEK, a cybersecurity firm, specializes in digital risk management. Their platform monitors online threats, providing real-time alerts and intelligence to protect businesses from potential cyberattacks. With a focus on proactive security measures, CloudSEK helps organizations identify vulnerabilities and secure their digital assets effectively. Trusted by leading companies worldwide, they offer innovative solutions to safeguard against evolving cyber threats.
CloudSEK on the web
Website LinkedIn Twitter Facebook
