Machine Learning EngineerFinancial Services domain
Machine Learning EngineerFinancial Services domain
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Assist in building and testing Generative AI demos and POCs
- Support the design of simple scalable architectures for Generative AI applications
- Work with team members to integrate AI components into larger systems
- Use MLOps practices to help automate parts of the model development process
- Follow guidance to ensure Generative AI applications are secure and meet basic governance standards
- Help deploy AI applications on cloud platforms or onpremises setups with team support
- Adapt to a fastpaced environment with evolving project requirements
- Keep up with AI trends and apply them to projects with guidance
- Advise clients. Understand their needs analyze possible solutions and present the best options
Qualifications :
- 4 years of experience in IT with at least 23 years of experience in machine learning
- Solid Backend engineering skills particularly with Python (e.g. Django Flask or FastAPI)
- Experience in presales and opportunity processing
- Basic experience with databases or tools like vector databases (e.g. Pinecone Weaviate Faiss)
- Familiarity with AI frameworks such as TensorFlow PyTorch or Hugging Face
- Understanding of CI/CD pipelines
- Knowledge of RAG or AI application basics (security governance etc.
- Experience with cloud platforms (AWS Google Cloud Azure) or onpremises setups
- Strong problemsolving skills and ability to handle shifting priorities with Support team
- Experience with clientfacing roles
- Excellent presentation and demonstration skills
- Bachelors or Masters degree in computer science machine learning artificial intelligence or a related field
- UpperIntermediate level of English
WOULD BE A PLUS
- Contributions to opensource projects or experience with tools like Airflow or Spark
- Familiarity with containers (e.g. Docker) or orchestration tools (e.g. Kubernetes)
- Experience in the Banking and Financial Services domain
- Exposure to prompt engineering or finetuning LLMs
- Knowledge of other languages like Java or Go
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
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