Senior AI/ML Engineer
Senior AI/ML Engineer
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Job Description
Role Name: Senior AI/ML Engineer
Location: Malvern PA
Type: Contract
Job Description:
We are seeking a highly experienced Senior AI/ML Engineer with deep expertise in Natural Language Processing (NLP) Generative AI and cloud-native ML systems. This role is ideal for someone who has built production-ready intent detection models NLG systems and has strong experience with AWS Bedrock LangChain and LangGraph. Youll play a key role in architecting and scaling AI-first applications that leverage the latest in LLM orchestration and AWS-native services.
Key Responsibilities:
- Design develop and deploy intent classification and intent detection models using LLMs and traditional NLP methods.
- Build and optimize Natural Language Generation (NLG) pipelines for chatbot responses summarization content creation or knowledge grounding.
- Architect and implement LangChain and LangGraph based applications for LLM-driven workflows (e.g. autonomous agents RAG systems).
- Develop scalable machine learning pipelines using the AWS tech stack (e.g. Sagemaker Lambda Bedrock Step Functions DynamoDB Athena).
- Integrate and fine-tune foundation models via AWS Bedrock including Amazon Titan Anthropic Claude or Meta Llama.
- Collaborate closely with product managers ML researchers and backend engineers to translate business requirements into robust AI solutions.
- Lead experimentation efforts conduct A/B testing and ensure continuous evaluation of deployed ML models.
- Mentor junior ML engineers and contribute to best practices in MLOps model governance and responsible AI.
Required Qualifications:
- Total 10 in IT with 4 to 5 years of experience in machine learning with a focus on NLP and Generative AI.
- Strong experience building and deploying intent detection text classification sequence tagging and entity recognition models.
- Proficient in LangChain LangGraph vector databases (e.g. FAISS Pinecone) and orchestration of LLM workflows.
- Deep knowledge of AWS Bedrock Amazon SageMaker Lambda DynamoDB Step Functions etc.
- Experience working with open-source LLMs (LLaMA Mistral Falcon) or commercial APIs (Claude GPT-4 etc.).
- Proficient in Python with a solid grasp of ML frameworks such as PyTorch HuggingFace Transformers scikit-learn.
- Strong understanding of MLOps practices including model versioning CI/CD for ML monitoring and auto-scaling.
- Bachelors or Masters in Computer Science Data Science or a related field.
Nice to Have:
- Experience integrating RAG (Retrieval-Augmented Generation) systems at scale.
- Familiarity with vector search using Amazon OpenSearch Pinecone or Weaviate.
- Experience with streaming data processing (e.g. AWS Kinesis Kafka).
- Contributions to open-source AI/ML or NLP projects.
Employment Type
Full-time
