Enterprise scale Gen AI experienced Full stack Python devs

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

As a Generative AI Engineer, candidate will be responsible in creating enterprise scale AI/ML Pipeline for (Data collection, data processing, model creation, model training, model fine tuning, model deployment).

Additional Information* 

The base salary for this position will vary based on geography and other factors.  In accordance with law, the base salary for this role if filled within Dallas, TX / Jersey City, NJ is $110k - $125k/year & benefits (see below).

The Role

Responsibilities:

• Develop and fine tune NLP/NLU models, including transformer-based models (BERT, GPT etc.,) for a range of language understanding tasks (language generation, sentiment analysis, entity recognition etc.,)

• Additionally design and implement generative AI models by leveraging LLMs for text generation and understanding.

• Preprocess and curate text data, including text cleaning, tokenization and data augmentation to prepare it for training NLP/NLU models

• Innovate and implement cutting edge algorithms to improve the performance, accuracy and efficiency of the NLP/NLU models Assess model performance using relevant NLP metrics and optimize models for real world applications

• Stay updated with latest developments in Generative AI specifically on NLP/NLU research and apply new techniques to enhance our solutions

• Strong expertise in NLP/NLU with focus on deep learning models and open source LLMs such as Llama 2, Falcon etc.,

• Proficiency in programming languages such as Python and experience with NLP libraries/frameworks like spaCy, NLTK, Hugging Face Transformers and Generative AI and LLM frameworks

• Familiarity with cloud computing platforms for model training and deployment

Requirements:

You are:

• Over 8+ years of hands-on working experience to develop the mission critical, large-scale, high-volume enterprise & distributed applications by using AI/ML

• Experience with tools like Langchain, Embedchain and Vector Database (Pinecone, FAISS, Milvus, ChromaDB, Vespa etc.,) to enhance data processing and model development workflow as well as rich understanding of vector stores and search algorithms

• Exceptional problem-solving skills and the ability to work on complex language understanding and Generative AI projects

• Experience designing control and sandboxing systems for AI research

• Hands on experience with Pytorch, TensorFlow Direct engineering experience of high performance, large-scale ML systems

• Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process

• Have experience supporting fast-paced startup engineering teams

• Experience maintaining and/or contributing to bug bounty and responsible disclosure programs

• A well-known contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.

Primary Experience required:

• LLM Models (Llama, Mixtral, Mistral)

• Various inferencing mechanisms – transformer/pipeline, vllm

• Agentic framework: langgraph

• Evaluation frameworks: RAGAS, phoenix-arize

• Embedding (all-MiniLM-L6-v2, all-mpnet-base-v2)

• LLM development framework: Langchain, LlamaIndex

It would be great if you also had:

• Research publications or contributions in the fields of NLP, NLU and Generative AI Experience with Con