Genai with Data Scientist

In this role as a Senior Gen AI Data Scientist in the Transformation team you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning and generative AI solutions.

Responsibilities may include the following and other duties may be assigned :

Design develop and implement machine learning models and algorithms to solve complex business problems.

Use software design principles to develop production ready code.

Collect preprocess and analyze large datasets to train and evaluate machine learning models.

Optimize and fine-tune machine learning models for performance and accuracy.

Deploy machine learning models into production environments and monitor their performance.

Develop processes and tools to monitor and analyze model performance and data accuracy.

Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms.

Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.

Document and communicate machine learning solutions methodologies and results to technical and non-technical stakeholders.

Mentor and provide guidance to junior Gen AI Data Scientists.

Required Knowledge and Experience :

Strong understanding of ML algorithms and techniques : supervised unsupervised learning deep learning. Deep knowledge in NLP Computer Vision and GenAI including architectures like Transformers BERT GPT.

7 years of industry experience in writing production level scalable code (e.g. in Python)

7 years of industry experience with popular ML frameworks such as PyTorch Scikit-learn NLTK Hugging Face Transformers and others (e.g. Langchain Lang Graph).

5 years of industry experience with distributed computing frameworks such as PySpark.

5 years of experience with full-stack web development (using either Python backend React frontend or AI builders like ).

5 years of experience in building and scaling Generative AI applications vector DB Agentic and RAG applications.

Experience in deploying monitoring finetuning evaluating LLM / VLM models and building AI agents.

5 years of industry experience with major cloud computing services like AWS or Azure or GCP.

Bachelors or Masters degree in a quantitative field : Computer Science Engineering Statistics Mathematics or related field.

Preferred Qualifications :

Ph.D. in Computer Science Software Engineering Electrical Engineering or related fields.

Proficient in containerization services.

Proficient in Bedrock or Databricks ML to deploy the models.

Experience with orchestration tools and CICD framework.

Experience in deploying and scaling open source LLM Models

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1