Role Overview & Key Responsibilities :

This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema.

We are seeking an AI / ML technical leader who can take a vision and build it.

As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale.

You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels.

Responsibilities :

- Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents spanning reasoning, retrieval, tool use, and integrations across various SaaS products.

- Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation ensuring robustness, latency efficiency, and continuous learning.

- Define and own the multi-year ML roadmap for GenAI infrastructure including agent frameworks, RAG systems, world-class evaluation loops, and integration with MCP, browser, and vision pipelines.

- Identify and integrate cutting-edge ML methods / research (deep learning, large models, recommender systems, LLMs, etc.) into Emas products or infrastructure.

- Research, prototype, and integrate cutting-edge ML and LLM advancements (reasoning, memory architectures, multi-modal perception, long-context models, autonomous agents) into the platform.

- Optimize trade-offs between accuracy, latency, cost, interpretability, and real-world reliability across the agent lifecycle from prompt design to orchestration and execution.

- Champion engineering excellence drive observability, reproducibility, versioning, testing, and bias-aware development across ML and agentic systems.

- Mentor and elevate senior engineers and researchers, fostering a culture of scientific rigor, experimentation, and system-level thinking.

- Collaborate cross-functionally with product, infra, and research teams to align ML innovation with enterprise needs enabling secure integrations, privacy-aware deployments, and scalable use cases.

- Influence data strategy guide how retrieval indices, embeddings, structured/unstructured corpora, and feedback loops evolve to improve grounding, factuality, and reasoning depth.

- Drive system scalability and performance ensuring ML agents and RAG pipelines can operate across billions of knowledge objects, diverse APIs, and real-time enterprise contexts.

Required Skills & Qualifications :

- Bachelors or Masters (or PhD) degree in Computer Science, Machine Learning, Statistics, or a related field.

- A strong track record (usually 10-12+ years) of applied experience with ML techniques, especially in large-scale settings.

- Experience building production ML systems that operate at scale (latency / throughput / cost constraints).

- Experience in Knowledge retrieval and Search space.

- Exposure in building Agentic Systems and Frameworks.

- Proficiency in relevant programming languages (e.g. Python, C++, Java) and ML frameworks (TensorFlow, PyTorch, etc.

- Strong understanding of the full ML lifecycle: data pipelines, feature engineering, model training, serving, monitoring, maintenance.

- Experience designing systems for monitoring, diagnostics, logging, model versioning, etc.

- Deep knowledge of computational trade-offs: distributed training, inference, optimizations (e.g. quantization, pruning, batching).

- Excellent communication skills; ability to present complex systems / trade-offs to technical and non-technical stakeholders.

- Experience mentoring senior engineers; ability to lead technical discussions and influence across orgs.

Why Join Ema ?

- Work at the forefront of agentic AI systemsdriving real enterprise transformation.

- Own mission-critical platforms that make or break Emas capabilities.

- Join an elite team of engineers, product thinkers, and AI researchers who value deep execution.

- Help define the architectural, cultural, and operational DNA of a company set to define a new category.

Our Culture & Values :

- High Bar on Quality We value excellence and expect world-class execution.

- Ownership & Accountability We take full responsibility for our work and outcomes.

- Impact-Driven Approach We set ambitious goals and measure success through real-world impact.

- Team Collaboration & Growth We believe in continuous learning, knowledge sharing, and supporting each other.

- No Hierarchy, Just Execution Everyone is an individual contributor, focused on delivering results.