
Senior Machine Learning Engineer
2 weeks ago
About Data Science Opportunities
We are looking for a highly skilled Data Scientist to join our team. This role involves using machine learning and artificial intelligence to solve complex business problems.
This is an ideal opportunity for individuals who have a passion for data science and want to work on cutting-edge projects.
The successful candidate will have experience in developing and evaluating machine learning models, as well as working with large language models. They will also have strong analytical skills and be able to communicate complex ideas effectively.
Responsibilities
- Work with stakeholders to understand problem statements and assist in translating them into data science tasks.
- Perform data collection, cleaning, feature engineering, and exploratory data analysis.
- Develop and evaluate machine learning models using Python and ML libraries.
- Assist in building LLM-based workflows such as RAG, prompt engineering, and fine-tuning.
- Contribute to developing GenAI-powered applications using tools like LangChain or OpenAI APIs.
- Collaborate with engineers to build and test API endpoints, integrate models into applications, and monitor model performance post-deployment.
- Maintain reproducible notebooks and clear documentation for both traditional ML and LLM experiments.
Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 2.5–3 years of experience in data science, ML, or AI-focused roles.
- Proficiency in Python, with exposure to libraries such as pandas, NumPy, scikit-learn, and matplotlib.
- Basic experience working with LLMs or an interest and ability to learn quickly.
- Familiarity with SQL and working with structured data sources.
- Clear communication, curiosity, and a willingness to take initiative.
Benefits
- Work on cutting-edge GenAI and ML use cases across various industries.
- Fast learning curve with mentorship from senior data scientists, engineers, and architects.
- Flat, collaborative culture that rewards ownership and curiosity.
- Strong emphasis on product thinking, experimentation, and impact.
Why Join Us?
- A competitive compensation package.
- Ongoing training and professional development opportunities.
- A dynamic and supportive work environment.
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