We seek AI Engineers who can build and ship productiongrade AI systems (LLMs, NLP, Computer Vision, predictive analytics). Candidates must demonstrate solid engineering fundamentals, handson model lifecycle ownership, and enterprise deployment experience.

Responsibilities

- Design, train, finetune, and evaluate models; drive A/B experiments and benchmarking.
- Build scalable data and model pipelines (feature extraction, training, inference, monitoring).
- Deploy on cloud (Azure/AWS/GCP) using Docker/Kubernetes; implement CI/CD and observability.
- Integrate models into services/APIs; ensure SLAs on latency, throughput, and cost.
- Implement MLOps best practices (MLflow/model registry/versioning, retraining triggers, drift detection).
- Collaborate with product/business teams; translate requirements into robust AI solutions.

Mandatory Requirements (MustHaves)

- Experience: 3-8 years in AI/ML/Applied ML Engineering; minimum 2 production deployments.
- Tech: Python,



PyTorch or TensorFlow; cloud (Azure/AWS/GCP); Docker/K8s; CI/CD; MLflow or equivalent.
- GenAI/LLMs: Practical knowledge of prompting, RAG, vector DBs (FAISS/PGVector/Weaviate/Milvus), and finetuning or adapters (LoRA/QLoRA).
- Systems: Ability to profile/optimize inference (batching, quantization).
- Work Mode: WFO only; willingness to relocate to Mumbai preferred.

Preferred (Good to Have)

- Azure ML/AWS SageMaker/Vertex AI; LangChain/LlamaIndex.
- Distributed training (DDP), mixed precision; data engineering exposure (Spark, Kafka).
- CV (Detectron/MMDetection), OCR, or multimodal experience.
- Opensource contributions; published repos/papers.

Education

Bachelors/Master’s in CS/EE/Math/AI/related fields (or demonstrably equivalent experience).

Soft Skills

- Product mindset and problemsolving.
- Crossfunctional collaboration and crisp communication.

📌 Artificial Intelligence Engineer (Maharashtra)
🏢 Skyleaf Consultants
📍 Maharashtra