Data Science/ML 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 17000+, and has 58 offices in 22 countries within key global markets.

Our Challenge

We are seeking a highly skilled Data Science / Machine Learning Engineer to design, develop, and deploy advanced AI/ML solutions leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), and Machine Learning techniques. The ideal candidate will be responsible for building intelligent AI applications, developing prompt engineering frameworks, implementing retrieval pipelines, conducting model evaluations, and delivering scalable production-grade AI capabilities.

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 Charlotte, NC is $110k - $120k/year & benefits (see below).

The Role

Responsibilities:

• Develop LLM, RAG, NLP, and ML solutions. Build prompts, retrieval pipelines, evaluations, and production AI capabilities.
• Design, develop, and deploy AI/ML solutions using LLMs, NLP, and traditional Machine Learning techniques.
• Build and optimize RAG (Retrieval Augmented Generation) systems utilizing vector databases and embedding models.
• Develop effective prompt engineering strategies to improve model performance and business outcomes.
• Create evaluation frameworks to measure model accuracy, relevance, hallucination rates, and overall effectiveness.
• Implement guardrails, safety mechanisms, and hallucination detection techniques for enterprise AI applications.
• Develop and maintain AI orchestration workflows using LangChain and LangGraph.
• Fine-tune and optimize transformer-based models for domain-specific use cases.
• Build scalable APIs and AI services using FastAPI.
• Work closely with data engineering, product, and business teams to gather requirements and deploy production-ready solutions.
• Monitor, troubleshoot, and continuously improve AI/ML systems in production environments.
• Implement CI/CD pipelines and MLOps best practices for automated deployment and monitoring.

Requirements

Programming & Data Analysis

• Python
• SQL
• Pandas
• Jupyter Notebook

Machine Learning & Data Science

• Supervised and Unsupervised Machine Learning
• Natural Language Processing (NLP)
• Statistical Analysis
• Model Evaluation Metrics:
• Precision
• Recall
• F1 Score
• ROC-AUC

Generative AI & LLM Technologies

• Large Language Models (LLMs)
• Transformers & Self-Attention Architectures
• Prompt Engineering
• Embeddings
• Retrieval Augmented Generation (RAG)
• Hallucination Detection and AI Guardrails

AI Frameworks & Evaluation Tools

• LangChain
• LangGraph
• LangSmith
• Galileo

Databases

• MongoDB
• Vector Databases (Pinecone, Weaviate, Chroma, Milvus, FAISS)

Application Development & DevOps

• FastAPI
• Git
• Jenkins
• CI/CD Pipelines
• OpenShift
• Linux

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience in Machine Learning, Data Science, or AI Engineering.
• Hands-on experience building and deploying enterprise-grade Generative AI applications.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of MLOps, model monitoring, and production deployment practices.
• Familiarity with LLM evaluation, observability, and responsible AI principles.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 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 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 flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.