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Machine Learning Engineer
4 weeks ago
Dice is the leading career destination fortech experts at every stage of their careers. Our client, AscendionInc., is seeking the following. Apply via Dicetoday
AboutAscendion
Ascendion is afull-service digital engineering solutions company. We make andmanage software platforms and products that power growth anddeliver captivating experiences to consumers and employees. Ourengineering, cloud, data, experience design, and talent solutioncapabilities accelerate transformation and impact for enterpriseclients. Headquartered in New Jersey, our workforce of 6,000+Ascenders delivers solutions from around the globe. Ascendion isbuilt differently to engineer thenext.
Ascendion | Engineering to elevatelife
We have a culture built on opportunity,inclusion, and a spirit of partnership. Come, change the world withus:
- Build the coolest techfor world s leading brands
- Solve complexproblems and learn new skills
- Experience thepower of transforming digital engineering for Fortune 500clients
- Master your craft with leading trainingprograms and hands-on experience
Experience a communityof change makers
Join aculture of high-performing innovators with endless ideas and apassion for tech. Our culture is the fabric of our company, and itis what makes us unique and diverse. The way we share ideas,learning, experiences, successes, and joy allows everyone to betheir best at Ascendion.
JobTitle:
- Machine Learning Engineer
KeyResponsibilities:
- Hands on with LLMs (In previousprojects) and worked on product development usingLLMs
- Handson experience with Vector Database& Graph Database (Pinecone, Milvus, Neo4j) and ability tocreate effective embedding, chunking, indexing forRAG
- Good understanding and experience usingTransformer/Neural Network model
- Hands onexperience using Open AI APIs, Open Source LLMs (Llama2, Mistral,Mixtral etc.,)
- Solid understanding on frameworklike Langchain, Haystack and ability to use Agentic Workflows usingthose frameworks (hands on exp/research experience will beplus)
- Hands on experience in creating Embeddingusing MPNET, Ada models
- Ability to use advancedtechniques like HyDE, MMR, LLM reranking for effective semanticsearch
MinimumQualifications:
- 3-5 years of experience, with strongexperience with Python and NLP.
- Analytics, AI,machine learning, natural language processing (NLP), naturallanguage understanding (NLU), large language models(LLMs)
- Generative AI prompt engineering andtuning
- Design of AI/Machine Learning modelperformance metrics andoptimization
- Intermediate to Advanced levelPython coding
- SQL
- Workingknowledge of LLM models like LLaMA 2, Mistral 7Betc.
- Intents, entities, dialogs, actions, andrelated chat bot concepts are a plus
- Strongability to learn AI concepts and experiment with new libraries andMachine Learning models for various usecases
- Self-starter with excellent communicationskills
DesiredQualifications:
- Experience with Speech to Text usingWhisper/Google TTS etc.
- Experience with Chat,IVR, Banking
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