CloudBC Labs
Data Scientist / Machine Learning Engineer/LLM
CloudBC Labs, Reston, Virginia, United States, 22090
Job Description
Job Title
: Data Scientist / Machine Learning Engineer/LLM
Location: Reston, VA (Remote)
Duration: Long term
Job Type: FTE/W2 (Any Visa)
Key Responsibilities :
Develop and deploy machine learning models using
LLMs ,
NLP , and
General AI
techniques. Utilize
Langchain / llamaindex
for advanced language processing tasks. Implement solutions using
Python ,
Vector DBs , and data analysis tools such as
Jupyter Notebook ,
AWS SageMaker , and
Scikit-learn . Containerize applications using
Docker
and manage dependencies with
Anaconda/conda/venv
or other Python package managers. Work with cloud platforms like
AWS ,
Azure , and
GCP
to scale and deploy AI solutions. Perform
fine-tuning
of models and work with
LoRa ,
PEFT ,
RAG , and
Agentic Frameworks . Experience with ML frameworks such as TensorFlow, PyTorch, or similar. Collaborate with the MLOps team to ensure smooth deployment and maintenance of models. Engage in
Multi-Modality
research and development to enhance model performance. Qualifications :
Proven experience in machine learning, NLP, and AI, Gen AI, LLM. Strong programming skills in Python and familiarity with Vector DBs. Experience with Jupyter Notebook, AWS SageMaker, Scikit-learn, and Docker. Knowledge of cloud services (AWS/Azure/GCP) and model fine-tuning. Familiarity with Linux, data streaming tools, MLOps, and multi-modality in AI. Excellent problem-solving skills and the ability to work in a fast-paced environment.
Note: Interested Candidates kindly share me the profiles to
balaji.narapaneni@cloudbclabs.com
Job Title
: Data Scientist / Machine Learning Engineer/LLM
Location: Reston, VA (Remote)
Duration: Long term
Job Type: FTE/W2 (Any Visa)
Key Responsibilities :
Develop and deploy machine learning models using
LLMs ,
NLP , and
General AI
techniques. Utilize
Langchain / llamaindex
for advanced language processing tasks. Implement solutions using
Python ,
Vector DBs , and data analysis tools such as
Jupyter Notebook ,
AWS SageMaker , and
Scikit-learn . Containerize applications using
Docker
and manage dependencies with
Anaconda/conda/venv
or other Python package managers. Work with cloud platforms like
AWS ,
Azure , and
GCP
to scale and deploy AI solutions. Perform
fine-tuning
of models and work with
LoRa ,
PEFT ,
RAG , and
Agentic Frameworks . Experience with ML frameworks such as TensorFlow, PyTorch, or similar. Collaborate with the MLOps team to ensure smooth deployment and maintenance of models. Engage in
Multi-Modality
research and development to enhance model performance. Qualifications :
Proven experience in machine learning, NLP, and AI, Gen AI, LLM. Strong programming skills in Python and familiarity with Vector DBs. Experience with Jupyter Notebook, AWS SageMaker, Scikit-learn, and Docker. Knowledge of cloud services (AWS/Azure/GCP) and model fine-tuning. Familiarity with Linux, data streaming tools, MLOps, and multi-modality in AI. Excellent problem-solving skills and the ability to work in a fast-paced environment.
Note: Interested Candidates kindly share me the profiles to
balaji.narapaneni@cloudbclabs.com