Software Engineer II (GenAI, ML)

Overview

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  Programming Languages
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    Proficiency in Python (required).
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    Familiarity with C++, Java, or Go is a plus.
    
   
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  Machine Learning & Deep Learning
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    Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.).
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    Experience with deep learning frameworks: PyTorch, TensorFlow, JAX, or Hugging Face Transformers.
    
   
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  Generative AI Expertise
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    Experience training or fine-tuning LLMs (e.g., GPT, LLaMA, Mistral) or diffusion models (e.g., Stable Diffusion, DALL·E).
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    Knowledge of prompt engineering, retrieval-augmented generation (RAG), and vector databases (like FAISS, Pinecone, or Milvus).
    
   
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  Data Handling
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    Proficiency in data preprocessing, tokenization, and feature engineering for large-scale text or image data.
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    Familiarity with data pipelines and frameworks like Apache Airflow or Kubeflow.
    
   
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  MLOps / Infrastructure
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    Understanding of model deployment, monitoring, and scaling in cloud environments (AWS, GCP, Azure).
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    Familiarity with Docker, Kubernetes, and API deployment using FastAPI or Flask.
    

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  Ability to evaluate model performance using metrics (e.g., BLEU, ROUGE, perplexity).
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  Knowledge of fine-tuning techniques, transfer learning, and reinforcement learning from human feedback (RLHF).
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  Research-oriented mindset to explore new architectures and optimization methods.
  

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities