A Tenth Revolution Group Company

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For Permanent in Dallas

    New

    Data Scientist / ML Engineer - Dallas

    USA, Texas, Dallas

    • Negotiable
    • Data Science Role
    • Skills: AWS, Data Science, Machine Learning, LLM, Large Language Model, Python, Dallas, Hybrid, Texas, Senior, In-house,
    • Seniority: Senior

    Job description

    Our client is seeking a highly skilled and experienced Data Scientist / ML Engineer to join their innovative team and drive impactful data-driven solutions.

    In this position, you will:

    * Leverage your extensive experience in Natural Language Processing (NLP) and Deep Learning to develop state-of-the-art solutions.
    * Play a key role in fine-tuning small language models on proprietary company data using techniques like LoRA (Low-Rank Adaptation) for parameter-efficient fine-tuning and frameworks like LLaMA.
    * Design and implement Neural Network architectures tailored to specific use cases
    * Collaborate closely with cross-functional teams to understand business needs, translate them into technical requirements, and deliver scalable AI solutions.

    Requirements:

    * Master's degree in an analytical field such as Data Science, Computer Science, Statistics or a related discipline
    * Expertise in designing, building, and deploying sophisticated industry-level Machine Learning models (Working in AWS Services)
    * Proficiency in Time Series Forecasting techniques is preferred as the candidate would work on developing predictive models to support key business decisions and address complex challenges in the field of Real Estate and Finance
    * Fluency in Python and SQL
    * Experience with modern data warehousing solutions such as Snowflake is highly desirable and will be considered a significant advantage
    * 3 days a week in the office (Flexible a to which days)



    Benefits:

    * Competitive salary & benefits package in line with your skill-set
    * Unlimited PTO
    * 20% off specific rental properties
    * Health Insurances



    Those interested should apply to this advert or send their CV & contact details to the address below. We shall be in touch shortly.

    Contact Name: Barney Green

    Email Address: b.green@tenthrevolution.com

    New

    Senior Machine Learning Engineer

    USA, Texas, Dallas

    • $180,000 to $250,000 USD
    • Engineer Role
    • Skills: Sagemaker, Data Science, Machine Learning, LLMs, NLP, Azure Machine Learning Studio
    • Seniority: Senior

    Job description

    Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



    The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



    Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



    Experience with Amazon Web Services and tools listed below are required:

    * SageMaker
    * Python
    * SQL
    * Snowflake
    * Big Data Technologies



    This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



    This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.