Senior AI Engineer

About the Company :
We are seeking a highly skilled and innovative Senior AI Engineer to join our team. This role is pivotal in designing and implementing cutting-edge AI solutions for our clients, ensuring they maximize the value of AI-driven technologies. The Senior AI Engineer will engage with customers to understand business challenges, design AI-powered solutions, and provide technical leadership throughout the implementation lifecycle.

This position requires a balance of technical expertise, strategic thinking, and exceptional client engagement skills.

Responsibilities :

Design and implement cutting-edge AI-driven solutions leveraging the full spectrum of approaches from traditional ML learning to using LLMs
Work closely with data scientists, ML engineers, and software developers to ensure the successful deployment of AI models and applications.
Stay updated on emerging AI technologies and industry best practices to provide innovative and forward-thinking recommendations to clients.
Provide technical guidance on AI model lifecycle management, including training, tuning, monitoring, and optimization.
Ensure AI solutions are scalable, secure, and compliant with industry regulations and best practices.
Act as a trusted advisor to clients, helping them navigate AI adoption challenges and maximizing the impact of AI in their operations.
Develop technical documentation, including solution architectures, whitepapers, and best practice guides.

Qualifications :

Experience with foundational LLMs as well as RAG pipelines (vectorization, vector stores, RAG evaluation)
Extensive experience in AI/ML, deep learning, and cloud-based AI services (AWS, Azure, or Google Cloud).
Proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, Langchain, and Hugging Face.
Strong programming skills in Python or similar.
Excellent proficiency with traditional SQL and big data technologies such as Apache Spark, Hadoop, and distributed computing frameworks.
Ability to analyze large datasets and derive business insights using BI tools like Tableau, Power BI, or similar.

Experience with MLOps practices, including model deployment, monitoring, and CI/CD for AI workflows.
Hands-on experience with APIs, microservices, and AI-driven automation solutions.

Required Skills :

Experience in digital transformation, business process optimization, or AI strategy consulting.
Knowledge of AI ethics, bias mitigation, and regulatory compliance in AI adoption.
Excellent communication and presentation skills, capable of articulating complex AI concepts to non-technical stakeholders.
Strong problem-solving and analytical skills, with the ability to design tailored AI solutions for diverse business challenges.
Excellent familiarity with the SDLC and project management methodologies and tools (e.g. Jira, Confluence, etc.)
Passion for innovation and continuous learning in the field of AI and emerging technologies.
Ability to handle multiple client engagements and prioritize tasks in a fast-paced environment.