AI Engineers

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