AI/ML Engineer

AI/ML Engineer OPEN TO: Jersey city, Boston Summary: 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