Data
Scientist
Location
– Balewadi, Pune
Job
Type - Permanent
We are on the lookout for a resourceful and proficient AI
Engineer / Developer to join our forward-thinking team. The ideal candidate
will not only possess a strong foundation in Python programming, advanced mathematics, and algorithms,
but also have specialized knowledge in Generative AI (GenAI) and Large Language Models (LLMs).
This role is pivotal in developing machine learning and deep learning models,
understanding and applying various neural network architectures, and handling intricate data
processing and visualization. The successful candidate will be adept in natural language processing,
deploying AI and ML solutions, and upholding AI security.
Key Responsibilities:
· Develop and refine machine learning
and deep learning models.
· Apply expertise in neural network
architectures, specifically for GenAI and LLM applications.
· Handle complex data processing,
cleaning, and visualization tasks.
· Utilize natural language processing
techniques for advanced AI solutions.
· Efficiently deploy AI/ML models in
production environments, focusing on scalability and robustness.
· Uphold and enhance AI security
measures to protect systems and data.
· Collaborate with cross-functional
teams to integrate AI solutions, particularly GenAI and LLMs, into broader
systems and applications.
· Stay abreast of the latest trends and
advancements in AI, machine learning, GenAI, and LLMs.
Requirements
· Proficiency in Python programming.
· Advanced knowledge in mathematics and
algorithm development.
· Experience in developing machine
learning and deep learning models.
· Strong understanding of neural network
architectures, with emphasis on GenAI and LLMs.
· Skilled in data processing and
visualization.
· Experienced in natural language
processing.
· Knowledgeable in AI/ML deployment,
DevOps practices, and cloud services.
· In-depth understanding of AI security
principles and practices.
Requirements
Requirements
· Proficiency in Python programming.
· Advanced knowledge in mathematics and
algorithm development.
· Experience in developing machine
learning and deep learning models.
· Strong understanding of neural network
architectures, with emphasis on GenAI and LLMs.
· Skilled in data processing and
visualization.
· Experienced in natural language
processing.
· Knowledgeable in AI/ML deployment,
DevOps practices, and cloud services.
· In-depth understanding of AI security
principles and practices.