Role:

Proven experience as an AI Developer or similar role.
Develop and optimize deep learning models to improve operational efficiency.
Design and implement various neural network architectures tailored to specific tasks.
Process and visualize complex data to extract actionable insights.
Enhance natural language processing capabilities to streamline communication and automation.
Deploy AI solutions that integrate seamlessly with existing systems and workflows.
Ensure AI security and compliance with industry standards.
Provide technical leadership and mentorship to junior team members, fostering best practices and continuous learning
Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to define AI solution objectives and deliver impactful results

.Requirements:

BSc/BTech/BE degree in Computer Science, Engineering, Data Science, or a relevant field.
5+ years of experience in AI. Proficiency in Python and relevant AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain etc)
Ability to incorporate AI models from the initial idea to execution.
Proficiency in mathematical principles that underpins AI algorithms and theories.
Specialized knowledge in generative AI (GenAI) and large language models (LLMs).
Experience in selecting, enhancing and deploying deep learning models.
Strong understanding of neural network architectures.
Expertise in data processing and visualization.
Adept in natural language processing and AI security.
Applying expertise in neural network architectures, specifically for GenAI and LLM applications.
Build and maintain robust data pipelines for large-scale data ingestion, preprocessing, feature engineering, and model training
Concepts on RAG and Vector DB

AI Engineers