Machine Learning Engineer

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About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world s leading brands
• Solve complex problems and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience
  

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

Job Title:

• Machine Learning Engineer
  

Key Responsibilities:

• Hands on with LLMs (In previous projects) and worked on product development using LLMs
• Handson experience with Vector Database & Graph Database (Pinecone, Milvus, Neo4j) and ability to create effective embedding, chunking, indexing for RAG
• Good understanding and experience using Transformer/Neural Network model
• Hands on experience using Open AI APIs, Open Source LLMs (Llama2, Mistral, Mixtral etc.,)
• Solid understanding on framework like Langchain, Haystack and ability to use Agentic Workflows using those frameworks (hands on exp/research experience will be plus)
• Hands on experience in creating Embedding using MPNET, Ada models
• Ability to use advanced techniques like HyDE, MMR, LLM reranking for effective semantic search
  

Minimum Qualifications:

• 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 chat bot 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
  

Desired Qualifications:

• Experience with Speech to Text using Whisper/Google TTS etc.
• Experience with Chat, IVR, Banking