

GenAI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Engineer on a 6-month contract in Charlotte, NC (Hybrid). Requires 5+ years in Software Engineering, expertise in Generative AI, MLOPS, and cloud platforms. Skills in Python, Java, and scalable systems are essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 25, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Charlotte, NC
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π§ - Skills detailed
#Ansible #Spark (Apache Spark) #Azure #Kafka (Apache Kafka) #ML (Machine Learning) #NoSQL #TensorFlow #Kubernetes #SpaCy #Terraform #NLP (Natural Language Processing) #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Pandas #Linux #Scala #R #MongoDB #Monitoring #Consulting #NLTK (Natural Language Toolkit) #AWS SageMaker #Hadoop #Docker #DevOps #Compliance #Python #Java #Databases #Big Data #HBase #GIT #Keras #Deep Learning #Cloud #Data Science #Redis #SageMaker #MySQL
Role description
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Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 6 Months
Required Skills & Experience
β’ 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
β’ Generative AI: LLMs, vector databases, embedding models, vector search, RAG
β’ AI: Machine Learning, Deep Learning, Scikit, Spark ML, TensorFlow, Keras, NLP (spacy, nltk)
β’ MLOPS: developing, testing and deploying models. AWS SageMaker, Ray Distributed systems / Big Data: Spark, Kafka, Hadoop, HBase, Cassandra
β’ Data Science: Python data analytics ecosystem (Pandas, Scikit, etc)
β’ Cloud: AWS, Google Cloud, Azure
β’ Languages: Python, Java, Scala, R, Shell
β’ Datastores: Vector stores (MongoDB Atlas, Milvus), NoSQLs (HBase, Cassandra, MongoDB, Redis), and SQLs (Postgres, MySQL)
β’ DevOps / Tools: Docker, Kubernetes, Ansible, Terraform, Linux, git
β’ Experience in building scalable distributed systems Monitoring and performance tuning of Python / Java apps, Databases and distributed systems
β’ Experience in leading / mentoring focused teams to achieve excellent outcomes
β’ Experience in Microsoft suite of platform - Copilot studio, Power platforms and Dynamics 365
What You Will Be Doing
β’ Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
β’ Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
β’ Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
β’ Strategically collaborate and consult with client personnel.