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Lead Sr. AI Developer
Technical Skills
1. ARTIFICIAL INTELLIGENCE
2. AWS Sagemaker
3.Generative AI
4.NLP Natural Learning Processing (NLP)
5. NLG Natural Language Generators
6.Machine Learning
7. LLM Large Language Models
8. Python
9. SQL
Minimum Required Experiences:
- 2 years of relevant experience in building large scale machine learning or deep learning models and/or systems
- Bachelors degree in Business Analytics, Computer Science, Data Science, Engineering Finance, Math, Physics, Statistics, or a related field
- Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytic, generative AI, symbolic AI, causal AI, operations research, computer science, Mathematics, business analytics, or knowledge management
- Demonstrated experience programming with R / Python, Linux, and Spark in AWS cloud environment, or knowledge and algorithmic design experience in Python (3+ years)
- Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow
- Experience with image processing models such as Coco, CLIP, ResNet or comparable models
- Demonstrated experience with machine learning techniques including natural language processing, and Large language Models (GPTv4-o1, o3, OpenAI APIs, Llama, Claude, etc).
- Experience developing AI agents and development proficiency using agentic programming
- Proficient in Natural language processing (NLP) and Natural language generation (NLG) including prior projects in any of the following categories: top modeling of text, sentiment analysis of text, part of speech tagging, Name Entity Recognition (NER), Bag of Words, text extraction
- Experience building and working with any of these components: Vector DB, BERT, RoBERTa (or comparable tools), Spacy, LLM and GenAI tools
- Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs.
- Strong skills in developing GraphRAG, Chain of Thought (CoT), Tree of Thought (ToT), Reinforcement learning and AI development architectures with Human-in-the-Loop (HITL)
- Demonstrated experience with SQL and any relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive, etc.
- Demonstrated experience processing structured and unstructured data sources, data cleansing, data normalization and prep for analysis
- Demonstrated experience with code repositories and build/deployment pipelines, specifically Jenkins and/or Git/GitHub/GitLab.
- Demonstrated experience using Tableau, or Kibana, Quicksights or other similar data visualizations tools.
- Very comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals)
About SES:
Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
Contact Information:
Please contact me for all of the details of the client company, environment, and the position. I look forward to speaking with you.
Jim Murphy
Technical Skills
1. ARTIFICIAL INTELLIGENCE
2. AWS Sagemaker
3.Generative AI
4.NLP Natural Learning Processing (NLP)
5. NLG Natural Language Generators
6.Machine Learning
7. LLM Large Language Models
8. Python
9. SQL
Minimum Required Experiences:
- 2 years of relevant experience in building large scale machine learning or deep learning models and/or systems
- Bachelors degree in Business Analytics, Computer Science, Data Science, Engineering Finance, Math, Physics, Statistics, or a related field
- Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytic, generative AI, symbolic AI, causal AI, operations research, computer science, Mathematics, business analytics, or knowledge management
- Demonstrated experience programming with R / Python, Linux, and Spark in AWS cloud environment, or knowledge and algorithmic design experience in Python (3+ years)
- Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow
- Experience with image processing models such as Coco, CLIP, ResNet or comparable models
- Demonstrated experience with machine learning techniques including natural language processing, and Large language Models (GPTv4-o1, o3, OpenAI APIs, Llama, Claude, etc).
- Experience developing AI agents and development proficiency using agentic programming
- Proficient in Natural language processing (NLP) and Natural language generation (NLG) including prior projects in any of the following categories: top modeling of text, sentiment analysis of text, part of speech tagging, Name Entity Recognition (NER), Bag of Words, text extraction
- Experience building and working with any of these components: Vector DB, BERT, RoBERTa (or comparable tools), Spacy, LLM and GenAI tools
- Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs.
- Strong skills in developing GraphRAG, Chain of Thought (CoT), Tree of Thought (ToT), Reinforcement learning and AI development architectures with Human-in-the-Loop (HITL)
- Demonstrated experience with SQL and any relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive, etc.
- Demonstrated experience processing structured and unstructured data sources, data cleansing, data normalization and prep for analysis
- Demonstrated experience with code repositories and build/deployment pipelines, specifically Jenkins and/or Git/GitHub/GitLab.
- Demonstrated experience using Tableau, or Kibana, Quicksights or other similar data visualizations tools.
- Very comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals)
About SES:
Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of technology solutions to Fortune 1000 companies and government organizations. Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
Contact Information:
Please contact me for all of the details of the client company, environment, and the position. I look forward to speaking with you.
Jim Murphy