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AI/ML Engineer
2 months ago
Ascendion is a leading digital engineering solutions company that specializes in creating and managing software platforms and products that drive growth and deliver exceptional experiences to consumers and employees.
We have a culture built on opportunity, inclusion, and a spirit of partnership. Our team of 6,000+ Ascenders delivers solutions from around the globe, accelerating transformation and impact for enterprise clients.
Our Mission:
- Design and develop cutting-edge AI and ML solutions that drive business value.
- Solve complex problems and learn new skills through continuous training and development.
- Experience the power of transforming digital engineering for Fortune 500 clients.
- Master your craft with leading training programs and hands-on experience.
- Join a community of change makers who share ideas, learning, experiences, successes, and joy.
Key Responsibilities:
Machine Learning Engineer- Hands-on experience with Large Language Models (LLMs) and product development using LLMs.
- Hands-on experience with Vector Database & Graph Database (Pinecone, Milvus, Neo4j) and ability to create effective embedding, chunking, indexing for Retrieval-Augmented Generation (RAG).
- Good understanding and experience using Transformer/Neural Network models.
- Hands-on experience using Open AI APIs, Open Source LLMs (Llama2, Mistral, Mixtral etc.).
- Solid understanding of frameworks like Langchain, Haystack and ability to use Agentic Workflows using those frameworks.
- Hands-on experience in creating Embedding using MPNET, Ada models.
- Ability to use advanced techniques like HyDE, MMR, LLM reranking for effective semantic search.
- 3-5 years of experience, with strong experience with Python and NLP.
- Analytics, AI, machine learning, natural language processing (NLP), natural language understanding (NLU), large language models (LLMs).
- Generative AI prompt engineering and tuning.
- Design of AI/Machine Learning model performance metrics and optimization.
- Intermediate to Advanced level Python coding.
- SQL.
- Working knowledge of LLM models like LLaMA 2, Mistral 7B etc.
- Intents, entities, dialogs, actions, and related chatbot concepts are a plus.
- Strong ability to learn AI concepts and experiment with new libraries and Machine Learning models for various use cases.
- Self-starter with excellent communication skills.
- Experience with Speech to Text using Whisper/Google TTS etc.
- Experience with Chat, IVR, Banking.