AI Developer – Natural Language Processing, Machine Learning & AWS

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 highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the financial sector, particularly in equities, will be considered an advantage.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $135k - $145k/year & benefits (see below).

The Role

Responsibilities:

• Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities.
• Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
• Collaborate with data scientists and engineers to integrate AI models into production environments.
• Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
• Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
• Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
• Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices.

Requirements:

• Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
• Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
• Proven experience managing and operating MCP or similar machine learning platforms.
• Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
• Knowledge of traditional machine learning models applied on structured big data is a plus.
• Prior experience in equities or financial data analysis is highly preferred.
• Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred, but not required:

• Hands-on experience deploying AI models in financial or equities contexts.
• Familiarity with data pipeline development and big data processing tools.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• 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 Fina