Jobgether is hiring a Data Scientist to design, develop, and deploy advanced machine learning and large language model (LLM) solutions on cloud-based platforms. You will collaborate directly with data engineers, cloud architects, and business stakeholders to integrate models into production workflows, directly impacting the organization's data-driven decision-making and innovation.
What You'll Do
- Design, develop, and deploy end-to-end machine learning and data science solutions in a cloud environment (Databricks on Azure).
- Prepare and process large-scale datasets using PySpark for cleaning, transformation, and feature engineering.
- Apply fine-tuning, optimization, and deployment of large language models for domain-specific applications.
- Conduct exploratory data analysis, statistical modeling, and hypothesis testing to generate actionable insights.
- Collaborate with data engineers, cloud architects, and business stakeholders to ensure seamless integration of ML models into production workflows.
- Document methodologies, experiments, and best practices to facilitate knowledge sharing and reproducibility.
- Stay updated on advancements in AI, ML, LLMs, and cloud technologies to implement innovative solutions.
What We're Looking For
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, AI/ML, or a related field.
- Proven experience as a Data Scientist with strong exposure to ML and NLP projects.
- Hands-on experience with Databricks on Azure, including MLflow, Delta Lake, and Databricks ML.
- Proficiency in PySpark for distributed large-scale data processing.
- Experience training, fine-tuning, and deploying LLMs within Databricks.
- Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
- Solid understanding of data science workflows: data wrangling, feature engineering, model development, and evaluation.
- Working knowledge of Azure cloud services (Azure Data Lake, Azure Synapse, Azure ML).
- Strong analytical thinking, problem-solving, and communication skills.
Nice to Have
- Experience with MLOps, CI/CD for ML, vector databases, prompt engineering, and RAG techniques.
Technical Stack
- Databricks on Azure, PySpark, Python, MLflow, Delta Lake, Databricks ML
- TensorFlow, PyTorch, Scikit-learn, Hugging Face
- Azure Data Lake, Azure Synapse, Azure ML
Team & Environment
You'll join a collaborative environment, working closely with data engineers, cloud architects, and business stakeholders.
Benefits & Compensation
- Competitive salary based on experience and location.
- Comprehensive health coverage (medical, dental, vision).
- Paid time off, holidays, and flexible work arrangements.
- Professional development and training opportunities.
- Access to AI/ML tools and cloud technologies.
- Supportive and collaborative work environment with career growth opportunities.
Work Mode
This is a fully remote position open to candidates based in the United States.
Jobgether is an equal opportunity employer.
