1927 IT & Software Developer jobs in the US

Tech Lead, AI/ML and GCP
$83,200 - 145,600
Prism Cloud Consulting Inc
Wales Avenue 43, Markham
$83,200 - 145,600
Requirements
Must:
- 7–12 years of experience in software engineering, with a minimum of 2 years in a leadership capacity
- In-depth hands-on knowledge of GCP services like Vertex AI, BigQuery, Cloud Functions, and scalable deployment techniques
- Strong expertise in LLM-based systems, prompt engineering, and API integrations
- Proven experience in building RAG systems and agentic workflows in live environments
- Familiarity with vector databases such as Pinecone, Weaviate, FAISS, and Vertex AI Matching Engine, including indexing and similarity search strategies
- Proficient in Python, with working knowledge of JavaScript/Node.js for API development, orchestration, and frontend solutions
- Practical experience utilizing TensorFlow, PyTorch, or other similar ML frameworks
- Knowledgeable in SQL databases (BigQuery, PostgreSQL) and NoSQL technologies (Firestore, MongoDB), capable of managing large unstructured data sets
- Strong grasp of distributed systems, microservices architecture, and scalable ML deployment
- Proven track record of leading projects autonomously, navigating ambiguity, and delivering effective solutions
Responsibilities
- Provide technical guidance and mentorship to a high-performing AI/ML engineering team, nurturing innovation and best practices
- Design and manage scalable machine learning systems, including architectures powered by LLM, retrieval pipelines, and agentic workflows on GCP
- Architect and develop agentic workflows, focusing on tool usage, memory management, planning, and orchestration with modern frameworks
- Write production-level code, primarily in Python, and demonstrate proficiency in JavaScript; conduct thorough code reviews
- Develop, train, fine-tune, and deploy ML and LLM models using frameworks like TensorFlow and PyTorch
- Create robust data pipelines for both structured and unstructured data, integrating sources into BigQuery and Cloud Storage
- Manage the entire lifecycle of AI systems, from data ingestion through model development to deployment and iterative improvements
- Establish and execute performance evaluation frameworks for LLM outputs, focusing on quality and efficiency
- Collaborate strategically to translate business challenges into implementable AI/ML and LLM-driven solutions, effectively communicating architecture and strategic decisions to stakeholders
Description
We are a dynamic company seeking a Tech Lead with expertise in AI, Machine Learning, and Google Cloud Platform to join our team in a hybrid capacity in Canada. This role is essential for guiding a talented engineering group and driving innovative solutions in the realm of AI/ML. We offer a contractual position for 6 months, with flexible working hours and a competitive hourly rate of $40.00-$70.00. Join us and be part of a collaborative environment where you can make a noticeable impact!
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1927 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Cobmex® Apparel Inc., Snaplii, KUBRA, Nurse Next Door, D3 Security Management Systems, Sequoia Software, Ashmead Designs Ltd. among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 124 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 124 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.