Job Summary:

We are seeking a skilled and innovative AI Engineer to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.

Responsibilities:

LLM Development & Fine-Tuning

• Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.
• Implement advanced training strategies including LoRA, QLoRA, PEFT, and parameter-efficient adaptation methods.
• Manage dataset preprocessing, curation, augmentation, and experiment tracking.
• Optimize models for quality, latency, and memory efficiency across training and inference.

GPU-Based Training & Optimization

• Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).
• Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).
• Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.

Model Serving & Infrastructure

• Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).
• Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.
• Build end-to-end pipelines for continuous training, evaluation, and automated deployment.

Research, Experimentation & Innovation

• Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.
• Run experiments, benchmark models, and propose architectural or training improvements.
• Prototype new capabilities and develop internal best practices for LLM workflows.

Collaboration & Leadership

• Work closely with product, engineering, and data teams to translate requirements into model behaviors.
• Mentor junior engineers and contribute to technical design reviews and architecture decisions.
• Communicate model performance, limitations, and trade-offs clearly to stakeholders

Requirements:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field.
• Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).
• Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.
• Strong problem-solving skills and ability to work on complex, data-driven problems.
• Ability to work collaboratively in a team-oriented environment.

Preferred Qualifications:

• Experience deploying AI models in production environments.
• Knowledge of LLMs (Large Language Models) and prompt engineering.
• Background in data engineering or backend development.
• Research experience or publications in AI/ML fields.

You can share your cv on whtsapp as well. 03355707047

Job Type: Full-time

Pay: Rs200,000.00 - Rs400,000.00 per month

Work Location: In person