
Machine Learning Engineer
1 week ago
Key Responsibilities
- Work independently or as part of a team to help design and implement high accuracy & user experience solutions to business problems in the NLP, GenAI, Agentic, and/or ML space.
- Participate in all aspects of solution development including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, proof-of-concept development, etc.
- Collaborate with cross-functional teams to transition solutions into production systems.
- Research and stay updated with the latest advancements in machine learning and AI technologies.
- Participate in code reviews, technical discussions, and knowledge sharing sessions.
- Bachelor's with 4 years, Master's with 2 years, or PhD in Computer Science, Data Science, Machine Learning, or related field.
- Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, GenAI, and/or ML space.
- Hands-on experience with data processing, experimentation, and exploration.
- Strong programming skills in Python.
- Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to collaborate with technical and non-technical stakeholders.
- Ability to work independently and collaboratively.
- Understanding of the financial markets including experience with financial datasets.
- Experience with ML frameworks such as PyTorch, TensorFlow.
- Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.
- Previous experience working in an Agile environment.
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