Sr. AI Engineer/ Architect
We are seeking a highly skilled and innovative Senior AI Engineer to lead the development and deployment of advanced AI/ML solutions. This role involves designing scalable systems, fine-tuning large language models, and collaborating with cross-functional teams to deliver impactful AI features. The ideal candidate will have a strong technical background, a passion for AI innovation, and a commitment to ethical AI practices.
RESPONSIBILITIESKey Responsibilities
AI/ML Solution Development
- Lead the design, development, and deployment of GenAI models and intelligent agents.
- Manage the full lifecycle of AI/ML projectsfrom use case definition and data preparation to model training, deployment, and monitoring.
- Fine-tune large language models (LLMs) for internal applications and optimize prompts for NLP tasks.
- Extract structured insights from unstructured documents using advanced AI techniques.
System Architecture & Engineering
- Architect and implement scalable AI/ML systems across cloud and on-premise environments.
- Design and evolve AI/ML pipelines and software architecture to support continuous delivery and model lifecycle management.
- Automate batch inference workflows and integrate AI features into both internal tools and customer-facing products.
Innovation & Research
- Explore and prototype new use cases for LLMs and emerging AI technologies.
- Define architectural changes that can be implemented incrementally to minimize risk and maximize impact.
Collaboration & Communication
- Collaborate with cross-functional teams including engineers, data scientists, and domain experts to deliver impactful AI solutions.
- Translate complex technical concepts into clear insights for non-technical stakeholders.
- Author technical design documents and participate in peer code reviews to ensure code quality and knowledge sharing.
- Mentor team members on AI/ML techniques, tooling, and best practices.
QUALIFICATIONSRequirements:
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.
- 5+ years of experience in AI/ML development, with a strong focus on NLP and LLMs.
- Proven experience deploying AI/ML models in production environments.
- Proficiency in Python, ML frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (e.g., AWS, Azure).
- Experience with MLOps, model deployment, and scalable system design.
- Strong communication skills and a collaborative mindset.
Preferred Knowledge and Experience:
- Experience with tools like Databricks, Azure ML, and Snowflake.
- Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
- Understanding of AI security and compliance frameworks.
Competencies:
- Self-motivated, able to multitask, prioritize, and manage time efficiently
- Strong problem-solving skills
- Data analysis skills. Ability to analyze complex data and turn it into actionable information
- Collaboration and teamwork across multiple functions and stakeholders around the globe
- Flexibility and adaptability
- Process management / process improvement
- Drive for results, Able to work under pressure and meet deadlines