LLM Engineer

7 days ago

Noida India Algoscale Full time

Job Description Location: Noida (WFO) Timings: 10:30 AM to 7:30 PM; Mon-Fri About the Role We are seeking a talented LLM (Large Language Model) Engineer to join our growing AI/ML team. The ideal candidate will have hands-on experience working with modern natural language processing (NLP) systems, large-scale model training, fine-tuning, and deployment. You will collaborate closely with data scientists, ML engineers, and product teams to design and optimize solutions powered by cutting-edge language models. Key Responsibilities - Design, train, fine-tune, and evaluate large language models (LLMs) for various use cases. - Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques to optimize model outputs. - Build pipelines for data preprocessing, tokenization, and dataset curation. - Optimize model performance (latency, throughput, and cost-efficiency) for production-scale deployment. - Integrate LLMs into applications, APIs, and business workflows. - Research and experiment with new architectures, frameworks, and techniques in NLP and generative AI. - Collaborate with cross-functional teams to translate product requirements into scalable AI solutions. - Ensure ethical AI practices, data security, and compliance with AI governance standards. Required Qualifications - Minimum 2 years of professional experience in AI/ML engineering or NLP. - Strong programming skills in Python and familiarity with libraries such as PyTorch, TensorFlow, Hugging Face Transformers. - Experience with fine-tuning LLMs (e.g., GPT, LLaMA, Falcon, Mistral, etc.). - Knowledge of prompt engineering, embeddings, and vector databases (e.g., FAISS, Pinecone, Weaviate). - Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). - Understanding of distributed systems, model optimization, and deployment strategies. Preferred Qualifications - Experience with RAG (Retrieval-Augmented Generation) and knowledge of LangChain / LlamaIndex. - Familiarity with MLOps tools (MLflow, Weights & Biases, Vertex AI, SageMaker). - Background in data engineering and pipeline automation. - Publications, open-source contributions, or projects in NLP/LLMs. - Strong problem-solving and research mindset. Perks and benefits of working at Algoscale: - Opportunity to collaborate with leading companies across the globe. - Opportunity to work with the latest and trending technologies. - Competitive salary and performance-based bonuses. - Comprehensive group health insurance. - Flexible working hours and remote work options. (For some positions only) - Generous vacation and paid time off. - Professional learning and development programs and certifications.

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