Lead the design and productionization of machine learning, ML ops, traditional AI, LLMs, and agentic AI solutions into scalable, product-driven applications, serving as a technical expert.
Drive the implementation of complex application integrations to leverage and deploy machine learning, ML ops, traditional AI, LLMs, and agentic AI products.
Define and implement architectural solutions that ensure the delivery speed and scalability of product and data pipelines.
Lead the adoption of managed and serverless cloud offerings to create performant and scalable cloud-native application solutions and data pipelines.
Lead the implementation of advanced machine learning models including regression, classification, Bayesian methods, Retrieval-Augmented Generation (RAG), and advanced Agentic AI architectures.
Serve as a technical leader to integrate prompt engineering and RAG components into production systems, ensuring seamless and robust deployment.
Serve as a key resource in client-facing consulting, driving customer engagement and influencing technical solutions for clients.
Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, exploring innovative approaches to enhance machine learning, ML ops, traditional AI, LLMs, and agentic AI capabilities across the organization.

Requirements

7+ years of industry experience as a hands-on practitioner in ML/AI, Data Science, or LLM/AI Engineering and proven experience with cloud offerings.
5+ years of experience with cloud platforms such as AWS.
Extensive experience with the end-to-end ML/AI cycle, MLOps, and LLMs.
Expertise in advanced machine learning techniques, data analytics, and feature engineering.
Experience with NLP and LLM-based technologies and frameworks.
Mastery of Python and advanced proficiency in SQL.
Expertise in 3–5 major cloud and data platforms and exposure to all (AWS, GCP, Azure, Snowflake, and Databricks).
Self-driven and autonomous with excellent problem-solving skills and critical thinking.
Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders effectively.
Proven ability to lead customer engagement and influence technical direction in a consulting environment.
Bachelor's degree or higher in Computer Science or a related field.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningML opstraditional AILLMsagentic AIadvanced machine learning techniquesdata analyticsfeature engineeringNLPPython

Soft Skills

problem-solvingcritical thinkingverbal communicationwritten communicationcustomer engagementinfluencing technical directionself-drivenautonomous

Certifications

Bachelor's degree in Computer Science