Machine Learning Developer

Requirements: Educational Background: - Bachelor’s, Master’s, or PhD in Natural Language Processing, Machine Learning, Artificial Intelligence, Data Science, or a related field.

Experience: - Minimum 3 years of professional experience in NLP, machine learning, or related fields.

Technical Skills: - Expertise in transformer architectures (e.g., BERT, GPT, T5) and pre-training methodologies. - Experience with post-training tools like LangChain and retrieval-based frameworks (RAG). - Familiarity with ASR engines, such as Whisper, DeepSpeech, Kaldi, or Julius, and their integration into NLP pipelines. - Strong programming skills in Python, with experience in libraries like Hugging Face Transformers, PyTorch, and TensorFlow. - Knowledge of model deployment technologies (e.g., Docker, Kubernetes) and serving frameworks like FastAPIor TorchServe. - Proficiency with data processing tools such as spaCy, NLTK, and OpenAI APIs.

Preferred Skills: - Experience with optimizing NLP models for real-time inference and low-latency environments. - Familiarity with vector search engines like FAISS, Pinecone, or Weaviate. - Understanding of domain-specific language tasks such as named entity recognition (NER), text summarization, or sentiment analysis.