Aziro - AI/ML Engineer - Model Development & Deployment

Job Description :

We are seeking a skilled AI/ML Engineer who has good experience in design, develop, and deploy scalable machine learning and AI solutions. The role involves working on real-world problems using advanced ML, deep learning, and Generative AI techniques, while ensuring production-grade reliability, performance, and compliance.

Key Responsibilities :

Model Development & Deployment :

- Design, develop, and optimize machine learning and deep learning models.

- Work on supervised, unsupervised, and reinforcement learning use cases.

- Deploy models into production using scalable APIs and microservices.

- Optimize models for performance, latency, and cost.

Generative AI & LLMs :

- Build and integrate solutions using LLMs (e.g., OpenAI, open-source models).

- Implement RAG (Retrieval-Augmented Generation) pipelines.

- Fine-tune models and design prompt engineering strategies.

- Develop AI agents and workflow automation systems.

Data Engineering & Processing :

- Collect, clean, and preprocess structured and unstructured data.

- Build feature engineering pipelines.

- Work with large-scale datasets and distributed systems.

Collaboration & Stakeholder Interaction :

- Work closely with product managers, engineers, and business stakeholders.

- Translate business requirements into technical AI solutions.

- Present findings and model performance to leadership.

Required Skills :

Core AI/ML Skills :

- Strong experience in machine learning algorithms and statistical modeling.

- Hands-on experience with deep learning frameworks (TensorFlow / PyTorch).

- Experience with NLP, Computer Vision, or Time-Series models.

Generative AI :

- Experience with LLMs, prompt engineering, and RAG architectures.

- Familiarity with frameworks like LangChain, LlamaIndex, or LangGraph.

- Understanding of embeddings, vector databases (FAISS, Pinecone, etc.).

Programming & Tools :

- Strong programming in Python.

Cloud & Platforms :

- Hands-on experience with AWS / GCP / Azure.

- Familiarity with ML services like SageMaker, Vertex AI, or Azure ML.

Qualifications :

- Bachelors/Masters degree in Computer Science, AI, Data Science, or related field.

- Relevant certifications in AI/ML or Cloud (preferred).

Preferred Experience :

- Experience in BFSI / FinTech / Healthcare domains.

- Working with sensitive or regulated data environments.

- Exposure to real-time AI systems and high-scale deployments.

Key Competencies :

- Strong problem-solving and analytical thinking.

- Ability to work independently and in cross-functional teams.

- Good communication and presentation skills.

- Ownership mindset and attention to detail.

Nice to Have :

- Experience with AI agents / autonomous systems.

- Knowledge of model explainability (SHAP, LIME).

- Familiarity with data privacy, compliance, and security standards.

- Experience in building AI platforms or internal tools.