Machine Learning Engineer

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a talented and motivated Senior LLM Data Scientist who will be responsible for designing, developing, and deploying advanced tools that leverage large language models (LLMs) to improve data accessibility in our big data environment. The overall objective of this role is to lead the creation of an innovative platform that allows users to query large datasets using natural language, enhancing the efficiency and effectiveness of our data analytics operations. The Role Responsibilities: Develop LLM solutions for querying structured data with natural language, including RAG architectures on enterprise knowledge bases. Build, scale, and optimize data science workloads, applying best MLOps practices for production. Lead the design and development of LLM-based tools to increase data accessibility, focusing on text-to-SQL platforms. Train and fine-tune LLM models to accurately interpret natural language queries and generate SQL queries. Implement and maintain APIs using FastAPI and Uvicorn for seamless integration and deployment. Provide technical leadership and mentorship to junior data scientists and developers. Stay updated with advancements in AI and NLP to incorporate best practices and new technologies. Requirements: You are: Proven experience in developing NLP applications and working with Generative AI models (e.g., GPT-4, LLaMA). Strong programming skills in Python and experience with relevant libraries (e.g., FastAPI, Uvicorn, Numpy, OpenAI API). Hands-on experience with data pre-processing techniques and tools (e.g., Numpy, Pandas). Experience with vector databases and embedding retrieval (e.g., Pinecone, ChromaDB). Experience with Big Data processing technologies (Spark, MapReduce, Hadoop, other NO SQL solutions) Knowledge of SQL and database management systems. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment. It would be great if you also had: Banking Domain We can offer you: A multinational organization with 58 offices in 21 countries and the possibility to work abroad 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days) A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability Flexible hybrid policy to fit your schedule RRSP with employer’s contribution up to 4% A higher education certification policy On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms A truly diverse, fun-loving and global work culture

Location: Mississauga, CA

Posted Date: 2/5/2025