Machine Learning Engineer

Basic Qualifications: WHAT TO BRINGMS or PhD(preferred) in computer science or equivalent experience.
Minimum 3 years of hands-on experience developing and deploying large-scale machine learning systems.
Strong knowledge of AI/ML technologies, mathematics and statistics.
Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences
Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL
Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc
Proven proficiency in deep learning methodologies, including recurrent and sequence-based models.
Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks.
Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data.
Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc.
Strong grasp of LLM evaluation methodologies, experience with RAG architectures.
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Preferred Qualifications: NICE-TO-HAVES Experience in digital video advertising or digital marketing domain.
Experience with Databricks and AWS Sagemaker.

Required Education BA/BS Degree Comp Sci/IS or related field
Preferred Education MS/PHD Preferred