
Advanced Data Science Professional
6 days ago
Transform Business Decision-Making with Advanced Analytics and AI
About This RoleWe are a trusted technology partner delivering turnkey AI solutions. Our mission is to transform how AI/ML is applied in the service sector and deliver measurable outcomes that matter.
Job ResponsibilitiesAs a Senior Machine Learning Engineer, you will design, develop, and deploy scalable ML models for real-world applications, leveraging large datasets and modern ML frameworks like PySpark and MLflow.
- Design, build, and deploy high-performance ML models using Python and relevant libraries.
- Develop and optimize end-to-end ML pipelines using PySpark and MLflow.
- Process structured and unstructured data using Pandas, NumPy, and other libraries.
- Train, evaluate, and fine-tune models using scikit-learn, TensorFlow, or PyTorch.
- Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT and Hugging Face Transformers.
- Collaborate with cross-functional teams including data engineers, product managers, and software developers.
The ideal candidate will have strong programming expertise in Python, solid understanding of machine learning algorithms, and hands-on experience with LLMs.
This role requires a deep understanding of machine learning concepts and ability to apply them to real-world problems. You should be comfortable working with large datasets, developing and deploying ML models, and collaborating with cross-functional teams.
Key Requirements- Strong programming skills in Python.
- Solid understanding of machine learning algorithms.
- Hands-on experience with LLMs.
- Ability to work with large datasets.
- Experience with ML development and deployment.
This role offers a unique opportunity to work on cutting-edge AI projects, collaborate with talented professionals, and grow your skills in machine learning. If you are passionate about AI and ML, and have a strong desire to learn and grow, this role is perfect for you.
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