Generative AI Engineer

Designation:

Experience:

Location:

Required Skills and Qualifications:

• Bachelors or Masters degree in

  Computer Science, Statistics, Data Science

  , or a related field.

• 6+

  years of IT experience with a min of

  3+ years in Data Science

  (AI/ML)
• Proven experience as a

  Data Scientist

  or similar role 4 hands-on experience in

  Python and R

  .
• Strong knowledge of machine learning algorithms and s

  tatistical modeling techniques.

• Proficiency in Python libraries such as

  scikit-learn, pandas, numpy, and matplotlib

  .
• Expertise in

  R programming

  , particularly with

  tidyverse, dplyr, tidymodels, and data.table.

• Experience with relational databases and

  SQL

  .
• Ability to

  convert R code to Python

  efficiently.
• Familiarity with software engineering principles and best practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to manage multiple projects and meet deadlines.

Technical Expertise:

• Python, C++ or any other high-level language.

• PyTorch and TensorFlow.

• Experience with

  Hugging Face Transformers, LangChain, LlamaIndex, Pydantic AI

• Deep Learning fundamentals:

  neural networks, backpropagation, optimization

• Generative AI frameworks:

  OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment

• Model architectures:

  Transformers, attention mechanisms, encoder-decoder models

• Fine-tuning techniques:

  LoRA, QLoRA, full parameter fine-tuning, RLHF
• Design and implement comprehensive evaluation pipelines
• A/B testing for AI systems and statistical significance testing

• Latency optimization techniques:

  model quantization, pruning, distillation
• Experience with

  MLOps tools:

  MLflow, Weights & Biases, DVC