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Machine Learning Engineer

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A SAAS-based data analytics platform providing companies with detail and actionable insights to improve their functions and grow their market share.

Role Introduction

We are seeking a highly skilled Machine Learning Engineer to join our client’s dynamic team. The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing (NLP) with hands-on experience in Python. You will play a pivotal role in developing and deploying advanced ML models and applications that drive business growth and innovation.

Features
  • Onsite
  • Fulltime
Requirements
  • Collaborate with cross-functional teams to identify and define ML use cases that align with business goals.
  • Design, develop, and implement machine learning models and algorithms.
  • Apply NLP techniques for text analysis, sentiment analysis, and language understanding.
  • Train and fine-tune deep learning models for various tasks.
  • Evaluate and optimize model performance, scalability, and efficiency.
  • Build data pipelines and perform data preprocessing to extract valuable insights.
  • Work with large datasets, structured and unstructured data, and real-time data streams.
  • Stay up-to-date with the latest developments in ML and AI technologies.
  • Collaborate with software engineers to deploy models into production systems.
  • Maintain model documentation and ensure best practices in ML engineering.
  • Participate in code reviews and contribute to a culture of quality and innovation.
Specifications
  • Bachelor's degree in Computer Science, Machine Learning, or a related field; Master's is a plus.
  • 3-4 proven experience as a Machine Learning Engineer with a focus on Python.
  • Strong knowledge of machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
  • Expertise in NLP and text analysis.
  • Hands-on experience with deep learning techniques and neural networks.
  • Proficiency in data preprocessing, feature engineering, and data visualization.
  • Strong programming skills in Python and knowledge of software engineering best practices.
  • Experience with version control systems (e.g., Git) and collaborative development.
  • Ability to work effectively in a team and communicate technical concepts to non-technical stakeholders.
  • Excellent problem-solving skills and a passion for learning and innovation.
What do we offer?
  • Health insurance
  • Provident Fund
  • Annual leaves encashment
Expertise
Skills: NLP, Python, PyTorch, Scikit-Learn, TensorFlow, Text Analysis
About TalentHue
TalentHue provides scalable, reliable Tech Recruitment, Corporate Recruitment and Consulting (Strategy, Operations, Performance) services. Our Recruitment and HR consultants will work alongside your team to meet the unique needs of your business.

Machine Learning Engineer

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Salary Range

350K-450K


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Recruitment Team

What will be your next steps?

1

Quick non-technical conversation
It’s all about communication! We want to see how your social and decision-making skills can contribute to efficient team performance.

2

60 to 90 minutes technical interview

During the technical interview, we want to assess the candidate’s specific knowledge, skills, and abilities in relation to our client’s needs.

3

Client interview
The problem-solving challenge is all about using logic and creativity to make sense of a situation and develop an intelligent solution.

4

Offer
You did it! After managing to get through all of these rigorous stages, it’s finally time to recommend you directly to our clients
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