Machine Learning Engineer

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About Xlorit

Xlorit, based in Coimbatore, is a premier digital solutions provider specializing in web, app, and UI/UX experiences tailored to meet your needs. Our mission is to simplify success by offering cutting-edge tools, agile expertise, and transparent partnerships. Join us to help businesses thrive by driving efficiency, creating exceptional customer experiences, and staying ahead in the digital era.

Role Overview

We are looking for a skilled and hands-on AI/ML Developer with strong expertise in model fine-tuning, AI system deployment, and hardware optimization. This role focuses on building and implementing AI models. You will work directly on training, optimizing, and deploying large AI models, with an emphasis on performance and scalability.

Key Responsibilities

• Assemble and configure GPU-based hardware environments (e.g., A100, H100, RTX series) for AI workloads.
• Deploy open-source and commercial AI models, including LLMs and SLMs, for high-throughput inference.
• Fine-tune models using techniques such as LoRA, QLoRA, PEFT, and instruction tuning.
• Prepare and preprocess training datasets, including formatting, tokenization, and data cleaning.
• Participate in the complete ML pipeline: training, validation, benchmarking, and evaluation.
• Use tools such as Hugging Face Transformers, vLLM, TGI, DeepSpeed, and Weights & Biases.

Required Qualifications

• 3–5 years of hands-on experience in AI/ML model development and deployment.
• Proficiency in Python and PyTorch.
• Experience with model training, fine-tuning, and hardware optimization.
• Familiarity with LLM architectures and transformer-based models.
• Knowledge of evaluation metrics (e.g., perplexity, BLEU, MMLU, QA-F1).
• Strong understanding of AI system performance tuning and memory-efficient inferencing.

Preferred (Nice to Have)

• Experience with RLHF pipelines, quantization (GGUF, GPTQ), or MLOps practices.
• Exposure to multi-modal models (text, vision, or audio).
• Experience using tools like FastAPI, Docker, or Triton Inference Server.

Ready to join:

If you’re passionate about building innovative solutions and thrive in a collaborative environment, we’d love to hear from you! Please submit your resume detailing your experience and why you would be a great fit for our team.