Overview
On Site
$115,000+
Full Time
Skills
Gen Ai
generative
agentic
LLM
python
ai
Job Details
Role: Data Scientist / Gen AI Lead Consultant
Location: - Bridgewater NJ (ONSITE)
Duration: Fulltime
JD-
Required Qualifications:
- Bachelor s Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of Information Technology experience
- At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning
- Strong proficiency in Python programming.
- Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.
- Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, Google Cloud Platform, Azure, IBM Watson
- Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.
- Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.
- Experience with data gathering, data quality, system architecture, coding best practices
- Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).
- Experience with Lean / Agile development methodologies
Preferred Qualifications:
- Minimum 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL
- Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.
- Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).
- Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends
- Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.
- Strong understanding and experience of LLM fine-tuning, local deployment of open-source models
- Proficiency in building RESTful APIs using FastAPI, Flask, or Django.
- Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.
- Experience with perception (e.g. computer vision), time series data (e.g. text analysis)
- Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala
- Data visualization tools such as Tableau, Query languages such as SQL, Hive
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.