Ekip IT Solutions - Staff AI Engineer - Data Modeling

About the role :

You will :

- Lead technical design for AI integration across product lines, enabling real-time and batch inference workflows using LLMs, transformers, and classification models.

- Drive the fine-tuning and deployment of pre-trained models (e.g., from Hugging Face or OpenAI) for mission-critical business use cases in domains such as healthcare, finance, or

operations.

- Integrate external AI services where appropriate and evaluate trade-offs for build vs. buy decisions.

- Define and evolve platform-wide standards for backend engineering, MLOps, model governance, and observability.

- Mentor and support senior and mid-level engineers, both within your team and across functions, to elevate system design and code quality.

- Collaborate with cross-functional leaders in product, ML research, data engineering, and DevOps to align technical initiatives with business goals.

- Influence AI strategy and roadmap, evaluating emerging technologies and frameworks for future adoption.

- Lead root-cause analyses and performance tuning to ensure systems remain reliable, efficient, and scalable.

You are :

- Comfortable operating across layers - from backend API services to AI Services and ML model lifecycle management - while driving architectural clarity and system-level thinking.

- Experienced in bridging the gap between research and production, with a strong focus on

reliability, maintainability, and business outcomes.

- Skilled at leading cross-team initiatives, guiding technical direction, and fostering a high-trust engineering culture.

- Able to influence without authority, collaborating across teams to align on complex technical trade-offs.

- Deeply invested in engineering excellence, with a strong bias toward automation,

observability, and security.

You have :

- 4+ years of experience with backend development in TypeScript, Node.js, and SQL-based RDBMS (e.g., PostgreSQL, MySQL)

- 1+ years deploying ML/AI models to production, with hands-on experience fine-tuning LLMs or transformer-based models

- Deep understanding of system architecture, cloud infrastructure (AWS or GCP), and scalable API design

- Strong experience with MLOps tooling (e.g., Docker, Kubernetes, Airflow, MLflow) and model deployment practices

- Proven leadership in setting technical direction, mentoring engineers, and driving cross-team projects to completion

- Bachelors or Masters degree in Computer Science, Engineering, or a related technical field

Role : Staff AI Engineer

Location : Hyderabad