VPP-101 - Sr. LLM Engineer- ML Background

• • Integrate cutting-edge AI technologies to solve complex business problems, focusing on vector stores and retrievers while deploying scalable solutions on AWS.
  • Design, develop, train, and deploy machine learning and deep learning models to address complex business challenges beyond traditional LLM applications.
  • Apply supervised, unsupervised, and reinforcement learning techniques for prediction, classification, recommendation, and optimization use cases.
  • Perform hands-on feature engineering, data preprocessing, and model selection to optimize performance and scalability.
  • Build and maintain robust experimentation frameworks for model training, validation, and benchmarking.
  • Fine-tune open-source and proprietary foundation models using advanced methodologies such as LoRA, PEFT, RLHF, DPO, and instruction tuning.
  • Evaluate and refine model performance against various metrics such as accuracy, precision, recall, F1 score, latency, cost, and hallucination rates.
  • Implement prompt optimization, model distillation, quantization, and inference acceleration techniques.
  • Construct and maintain end-to-end MLOps pipelines supporting the entire lifecycle of model training, deployment, monitoring, and management.
  • Implement CI/CD practices for machine learning and LLM workloads using platforms like MLflow, Kubeflow, SageMaker, or Databricks.
  • Continuously monitor model drift, data quality, performance, and production reliability.
  • Establish automated evaluation and testing frameworks for AI applications.
  • Collaborate closely with data scientists and business stakeholders to identify high-impact opportunities.
  • Analyze large structured and unstructured datasets using tools such as Python, Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow, running experiments, A/B tests, and performance analyses to validate model effectiveness and ensure measurable business outcomes.

• • Bachelor Degree in a related area.
  • Proficiency in Python, Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow.

• • Strong understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI concepts.
  • Experience with PyTorch, TensorFlow, Scikit-Learn, XGBoost, or similar ML frameworks.
  • Hands-on experience training, fine-tuning, and evaluating machine learning and foundation models.
  • Experience with MLflow, SageMaker, Databricks, Kubeflow, Weights & Biases, or similar MLOps platforms.
  • Knowledge of model evaluation, hyperparameter tuning, feature engineering, and model monitoring.
  • Familiarity with multimodal AI solutions involving text, images, audio, and structured data.
  • Experience developing and deploying Agentic AI solutions using LangGraph, AutoGen, CrewAI, or OpenAI Agents.
  • Experience with computer vision, recommendation systems, forecasting, or predictive analytics.
  • Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or related field.
  • Experience publishing ML research, contributing to open-source AI projects, or building AI products at scale.

Vekend is a people-first organization focused on developing thoughtful products and services that create meaningful impact for our customers and communities. We are committed to fostering a collaborative, respectful, and inclusive work environment where employees are empowered to take ownership of their work, contribute ideas, and grow professionally. We strive to support flexibility and work-life balance while maintaining high standards of performance and accountability.

For all locations, the good-faith, reasonable annualized full-time compensation for this role will be determined based on competitive market data and may vary depending on geographic location, job-related knowledge, skills, experience, education, and other business considerations. Specific compensation details will be discussed during the interview process. Vekend offers a comprehensive benefits and wellness package designed to support employees’ overall well-being, financial security, and professional growth. Eligibility and coverage are subject to the terms of the applicable benefit plans and company policies. Eligible employees have access to medical, dental, and vision insurance with company contributions toward premiums, a 401(k) retirement plan with company matching, and Paid Time Off that begins accruing on the first day of employment. We also support flexible work arrangements and opportunities for professional growth. Benefits eligibility, coverage, and company contributions are subject to the terms of the applicable plan documents and may be modified at the company’s discretion.