Requirements:
- At least 1 year experience in Machine Learning & Data Science
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
- Proven experience as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying both traditional and generative ai models
- Experience in designing, developing, and training generative models like RAG (Retrieval Augmented Generation), Texembedding, etc)
- Proficiency in programming languages such as Python, R, or Scala.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
- Proficiency in SQL and database management systems.
- Strong problem-solving skills and the ability to work on complex and ambiguous business problems.
Job description :
- Develop machine learning model with structure and unstructured data
- Design and build scalable and efficient machine Learning and Generative AI pipelines
- Train, optimize, and fine-tune machine learning models using large-scale datasets.
- Monitor and maintain deployed models, ensuring their performance and stability.
- Communicate findings, results, and recommendations to both technical and non-technical to internal stakeholders or customers.
