AI/Machine Learning Engineer/Data Scientist

We're seeking a passionate, hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you ll play a pivotal role in spearheading AI initiatives and innovation. As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.

Qualifications:

* Bachelor's or Master s degree in computer science, Statistics, Data Science, or a related field.
* 6+ years of experience in Machine Learning and Data Science.
* Strong programming skills in Python
* Experience working with large datasets and performing data analysis.
* Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).
* Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniques
* Proven experience in developing and deploying machine learning models in a production environment.
* Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.
* Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plus
* Experience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.
* Experience in building Asynchronous Python APIs for model inferencing.
* Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
* Previous experience in a similar role or industry is preferred.
* Excellent communication and collaboration skills.
* Strong problem-solving skills and analytical thinking
* Passion for learning and staying up-to-date with the latest advancements in AI field

Responsibilities:

Generative AI Application Development
* Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic AI Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
* Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
* Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.

Model Development and Deployment
* Design and develop machine learning models and algorithms to address business challenges and improve product features.
* Deploy machine learning models in production environments to ensure scalability and efficiency.
* Optimize and refine models based on performance metrics and feedback.

Data Management
* Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.
* Implement data augmentation and feature engineering techniques to enhance model performance.
* Maintain and manage data pipelines to ensure seamless data flow and integration.

Python API Development
* Develop scalable APIs in python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencing

Research and Innovation
* Stay updated with the latest trends and advancements in AI and machine learning technologies.
* Conduct research to explore new methodologies and techniques that can be applied to current and future projects.
* Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.

Collaboration and Communication
* Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.
* Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
* Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.s.