augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface transformers etc. Familiar with both on-premises and cloud-based platforms (e.g. AWS). Working understanding of ML Ops workflows and ability to perform basic model deployment without More ❯
in machine learning. Optimization : Continuously improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/ More ❯
Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with More ❯
learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies More ❯
Proficiency with observability tools (Grafana, Prometheus, etc.). DevOps and CI/CD (Jenkins, GitOps). Strong communication and collaboration skills. Understanding of deep learning and ML frameworks (TensorFlow, PyTorch). Secure coding practices and cloud-native application development. Desirable Skills: Microservices architecture and cloud deployment patterns. Modern application configuration techniques. Experience with distributed state sharing and caching. Knowledge of More ❯
Proficiency with observability tools (Grafana, Prometheus, etc.). DevOps and CI/CD (Jenkins, GitOps). Strong communication and collaboration skills. Understanding of deep learning and ML frameworks (TensorFlow, PyTorch). Secure coding practices and cloud-native application development. Desirable Skills: Microservices architecture and cloud deployment patterns. Modern application configuration techniques. Experience with distributed state sharing and caching. Knowledge of More ❯
innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning and analytical techniques to create scalable solutions for business problems. -Research and implement novel machine learning and statistical approaches. More ❯
computing, neural deep learning methods and/or machine learning PREFERRED QUALIFICATIONS Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Prior experience in training and fine-tuning of Large Language Models (LLMs) - Knowledge of AWS platform and tools Our inclusive culture empowers Amazonians to deliver the best results for More ❯
experience in audio processing libraries (e.g., librosa, torch audio, or similar). Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch). Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio. Expected to have strong problem-solving skills and ability to think creatively to devise innovative More ❯
outcomes. Skills Essential Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein). Strong ability More ❯
more junior colleagues PREFERRED QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, economics, or related technical/scientific field - Hands on experience building models with deep learning frameworks like PyTorch, or similar - Experience with machine learning, time series, NLP and CV solutions - Proven communication skills, presentation skills, and attention to detail - Comfortable working in a fast paced, highly collaborative, dynamic More ❯
search, retrieval pipelines, or document-based AI systems is a bonus Nice to Have: Exposure to legal tech, compliance tools, or privacy-centric workflows Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)-helpful but not required Interest in prompt engineering, user intent modeling, or AI agent design What We Offer: A high-trust, high-impact environment with ownership over mission More ❯
