Job Title: Data Scientist
Location: Remote
Join our dynamic team, leading the digital transformation and innovation effort throughout our client’s Quality organization. We’re seeking a motivated Data Scientist with a strong focus on generative AI and large language models (LLMs).
Key Responsibilities:
- Collaborate with cross-functional teams to manage AI and ML-powered digital products.
- Develop and integrate generative AI and LLM-based solutions, ensuring scalable code.
- Analyze enterprise data and monitor deployed models to generate actionable insights.
- Identify opportunities for leveraging ML and AI to enhance efficiency.
- Contribute to the development of MLOps pipelines and automation workflows.
Skills Required:
- Doctorate or Master’s degree with 3+ years of experience in a related field.
- Expertise in developing and deploying ML and generative AI models.
- Advanced proficiency in SQL, Python and ML/AI libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with Natural Language Processing (NLP) and LLMs.
- Familiarity with MLOps and DevOps practices, including tools like MLflow, CI/CD pipelines.
- Experience with cloud computing technologies, e.g., AWS, Spark, Databricks.
Preferred Skills:
- Understanding of API development and deployment (e.g., FastAPI, RESTful APIs).
- Proficiency in business intelligence and visualization tools like Tableau, Streamlit, or Dash.
- Strong organizational skills and attention to detail.
- Excellent verbal and written communication skills.
- Experience in the biotechnology industry is NOT required.
About SSi People:
With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering an exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
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