Overview
Hybrid
$75 - $79
Full Time
No Travel Required
Skills
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Google Cloud Platform
Natural Language Processing
scikit-learn
Vector Databases
Redis
MongoDB
Keras
Performance Tuning
TensorFlow
Pandas
Java
Python
PostgreSQL
NoSQL
NLTK
Deep Learning
Google Cloud
Machine Learning (ML)
Kubernetes
Job Details
Please find details for this position below:
Title: Software Engineer / AI ML Engineer - GenAI
Location options: Concord, CA (Hybrid)
Contract: 6 months (Possible to extend)
- Generative AI: LLMs, vector databases, embedding models, vector search, RAG
- AI: Machine Learning, Deep Learning, Scikit, Spark ML, TensorFlow, Keras, NLP (spacy, nltk)
- MLOPS: developing, testing and deploying models. AWS SageMaker, Ray Distributed systems / Big Data: Spark, Kafka, Hadoop, HBase, Cassandra
- Data Science: Python data analytics ecosystem (Pandas, Scikit, etc)
- Cloud: AWS, Google Cloud, Azure
- Languages: Python, Java, Scala, R, Shell
- Datastores: Vector stores (MongoDB Atlas, Milvus), NoSQL s (HBase, Cassandra, MongoDB, Redis), and SQLs (Postgres, MySQL)
- DevOps / Tools: Docker, Kubernetes, Ansible, Terraform, Linux, git
- Experience in building scalable distributed systems Monitoring and performance tuning of Python / Java apps, Databases and distributed systems
- Experience in leading / mentoring focused teams to achieve excellent outcomes
- Experience in Microsoft suite of platform - Copilot studio, Power platforms and Dynamics 365
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.