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AI / ML Engineer

AI / ML Engineer

Singularis VenturesCochin, Republic Of India, IN
30+ days ago
Job description

Highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps / LLMOps to design, optimize, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs / (e.G., GPT, Llama), and implementing robust deployment pipelines for production environments.

Responsibilities

Model Development & Fine-Tuning :

  • Design, train, fine-tune and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications.
  • Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks (e.G., text generation, summarization, semantic similarity).
  • Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques.

Deployment & Scalability (MLOps / LLMOps) :

  • Build and maintain end-to-end ML pipelines for training, evaluation, and deployment.
  • Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT.
  • Optimize models for low-latency, high-throughput inference (eg., quantization, distillation, etc.).
  • Implement CI / CD workflows for ML systems using tools like MLflow, Kubeflow.
  • Monitoring & Optimization :

  • Set up logging, monitoring, and alerting for model performance (drift, latency, accuracy).
  • Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models.
  • Required Skills & Qualifications :

  • 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs.
  • Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks.
  • Experience with model deployment tools (Docker, Kubernetes, FastAPI).
  • Knowledge of MLOps / LLMOps best practices (model versioning, A / B testing, canary deployments).
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Preferred Qualifications :

  • Contributions to open-source LLM projects.
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    Aiml Engineer • Cochin, Republic Of India, IN

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