AI or ML Engineer

Ca-San Francisco-Full Timemid

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

Benefits: Health insurance Opportunity for advancement Training & development Primary Responsibilities Work with Sr.

Technical Tools

Machine Learning EngineerData

Benefits:

Health insurance
Opportunity for advancement
Training & development

Primary Responsibilities

Work with Sr. AI/ML engineers and Leadfor Experiments with novel model architectures or algorithms
Up to date with cutting-edge AI models, including deep learning, reinforcement learning, and generative architecture
Advance agentic capabilities by designing autonomous systems that can reason, plan, and interact with complex environments
Prototype and refine novel algorithms to improve model performance, scalability, and interpretability
Collaborate with cross-functional teams to translate theoretical advancements into practical enterprise applications
Conduct rigorous experimentation and benchmarking to evaluate model efficacy and robustness
Publish findings, contribute to open-source initiatives, and stay abreast of emerging trends in AI research
Ensure ethical AI development by incorporating fairness, transparency, and accountability into model design
Optimize training pipelines and infrastructure for large-scale model deployment and continuous learning
Partner with data engineering and product teams to integrate AI solutions into production systems
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications

Bachelor's or master's degree in computer science, Engineering, or a related field
5+ years of experience in software development
2+ years of experience delivering solutions with a focus on AI/ML
Extensive experience implementing generative AI solutions using OpenAI compatible APIs
Experience with Cloud-based AI and data services like Python, Databricks, RAG, Agentic, AI Foundary, LangFuse
Experience in GitHub & M365 Copilot, Deep learning frameworks such as PyTorch, TensorFlow, Scikit Learn
Experience with frontend development using React or Angular, and backend services using Java or .NET
Experience in collaborating and working with Sr. AI/ML engineers and Lead to develop new machine learning models from scratch or improvising it
Solid understanding of RAG architecture including knowledge of vector databases and semantic search
Advanced proficiency in Python for AI/ML and automation
Proven expertise in Azure Document Intelligence, OCR, and Databricks
Proven enterprise search, NLP, Speech AI, Vision AI, Supervised & unsupervised ML
Proven ability to lead the design and implementation of intelligent applications using Azure OpenAI, LLM Gateway, and Retrieval-Augmented Generation (RAG) techniques
Proven drive end-to-end delivery of AI-powered solutions across cross-functional teams
Proven excellent communication and stakeholder management skills