LLM Engineer/ Prompt Engineer

Key Responsibilities Design, develop, and deploy machine learning models to address real-world challenges. Build and optimize data pipelines for training, testing, and inference. Train, evaluate, and fine-tune models across supervised, unsupervised, and deep learning techniques . Collaborate with product managers, engineers, and designers to integrate AI solutions into applications. Deploy models into production using APIs, Docker, or cloud-native platforms . Monitor performance, retrain models, and ensure scalability and reliability. Document experiments, model architectures, and performance insights. Stay updated on the latest advancements in AI/ML, NLP, and deep learning frameworks . Sets up APIs with GPT-4, Claude, or open-weight models. Experiments with prompt templates, retrieval (RAG), and embeddings. Runs test cases on legal prompts. Why? You need someone who knows how to get the most out of models fast. SKill & Qualifications Strong programming skills in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with TensorFlow, PyTorch, or Keras . Solid understanding of machine learning algorithms, statistics, and data structures . Familiarity with cloud platforms (AWS, GCP, or Azure). Experience working with REST APIs, Git, and Docker . Strong problem-solving skills with the ability to adapt solutions to business needs. Nice to Have Experience with MLOps practices (CI/CD pipelines, model monitoring). Exposure to NLP, computer vision, or LLMs (BERT, GPT, etc.) . Knowledge of tools like MLflow, Weights & Biases, or Streamlit/FastAPI . Familiarity with big data tools (Spark, Hadoop). Why Join Girl Power Talk? Work on AI projects that merge technology with social impact . Be part of a culture that values creativity, inclusivity, and continuous learning . Collaborate with a global team of innovators and changemakers . Grow your expertise while contributing to a mission that empowers people worldwide. Additional Information: RSU’s provided depending on role, candidate & product roadmap The offered CTC will be determined based on your current compensation and performance in the interview. We do not limit ourselves by budget when it comes to hiring the right talent.

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