Senior Data Scientist
Job Summary
Syffer is an all-inclusive consulting company focused on talent tech and innovation. We exist to elevate companies and humans all around the world making change from the inside to the outside.
We believe that technology human kindness positively impacts every community around the world. Our approach is simple we see a world without borders and believe in equal opportunities. We are guided by our core principles of spreading positivity good energy and promote equality and care for others.
Our hiring process is unique! People are selected by their value education talent and personality. We dont present ethnicity religion national origin age gender sexual orientation or identity.
Its time to burst the bubble and we will do it together!
What Youll do:
- Lead the design and development of Artificial Intelligence Generative AI and Machine Learning solutions;
- Define architectures for AI applications using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents and modern AI frameworks;
- Develop end-to-end AI-powered applications;
- Define approaches for Prompt Engineering Model Evaluation and Fine-Tuning;
- Implement scalable AI pipelines;
- Lead technology innovation initiatives;
- Ensure best practices for AI development security and governance;
- Collaborate with cross-functional teams to define business solutions;
- Mentor Junior and Mid-Level Data Scientists;
- Stay up to date with the latest trends in Generative AI and Machine Learning;
- Hybrid work model;
Who You Are:
- Bachelors or Masters degree in Data Science Computer Science Engineering Statistics or a related field;
- 5 to 10 years of experience in Data Science Machine Learning or Artificial Intelligence with proven experience delivering AI solutions in enterprise environments;
- Strong proficiency in Python SQL and modern Machine Learning and Deep Learning techniques;
- Hands-on experience with Generative AI technologies including Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents Prompt Engineering Natural Language Processing (NLP) Embeddings and model Fine-Tuning;
- Experience with AI frameworks and orchestration tools such as LangChain LangGraph and Microsoft Agent Framework;
- Experience implementing scalable AI and MLOps solutions including Vector Databases and cloud platforms such as Azure AWS or GCP;
- Knowledge of Data Engineering REST APIs containerization technologies Git and CI/CD practices;
- Strong analytical problem-solving and communication skills with the ability to collaborate effectively across multidisciplinary teams and mentor junior colleagues;
What youll get:
- Wage according to candidates professional experience;
- Remote Work whenever possible;
- Delivery of work equipment adjusted to the performance of functions;
- Benefits plan;
- And others.
Work together with expert teams on projects of large magnitude and intensity long term together with our clients all leaders in their industries.
Are you ready to step into a diverse and inclusive world with us
Together we will promote uniquess!