Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience More ❯
concepts to non-technical stakeholders. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch Experience with popular Python frameworks such as Django, Flask or Pyramid Experience with Jupyter Notebooks Experience with EDA and More ❯
classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python Excellent communication skills Preferred Qualifications & Skills: If you have the following characteristics, it would be a More ❯
Prompt engineering, LLMs Proficiency in programming languages such as Python, Java, or similar. Experience with AI frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., SpaCy, NLTK). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and version control systems (e.g., Git). Proficiency creating and using REST APIs. Familiarity with More ❯
Prompt engineering, LLMs Proficiency in programming languages such as Python, Java, or similar. Experience with AI frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., SpaCy, NLTK). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and version control systems (e.g., Git). Proficiency creating and using REST APIs. Familiarity with More ❯
IT/Engineering; C1/C2 level of English (French B1+ preferred); Excellent knowledge of Python , Matlab , R and its NLP/ML libraries (SpaCy/NLTK/scikit-learn/pandas); Excellent knowledge of machine learning techniques and algorithms (k-NN/Naive Bayes/SVM/Decision Forests More ❯
experience with other languages is a plus Ability to deploy ML capabilities into systems Familiarity with Python data science libraries (NumPy, SciPy, Pandas, Dask, spaCy, NLTK, scikit-learn) Commitment to writing clean, maintainable, and well-tested code Proficiency in automation, system monitoring, and cloud platforms like AWS or Azure Understanding More ❯
capabilities and techniques into other systems. Are familiar with the Python data science stack through exposure to libraries such as Numpy , Scipy , Pandas, Dask , spaCy , NLTK, scikit-learn. Take pride in writing clean, reusable, maintainable and well-tested code. Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with More ❯
Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques Demonstrated experience using Jira, Confluence, and GitHub More ❯
Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks ( sklearn ) and ML workflow. Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like Tableau or PowerBI. Experience working with LLMs. Experience working with More ❯
DataOps/MLOps experience would be valued. Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT. Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages More ❯
on Mesh-AI, our customers, and your team. Nice to Have NLP, LLMs, GenAI, time series forecasting, image recognition or deep learning. PySpark, OpenCV, spaCy or DVC. Exposure to MLOps. Why Mesh-AI Fast-growing start-up organisation with huge opportunity for career growth. Highly competitive salary package along with More ❯
Python or another high-level language commonly used in machine learning. Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs for pre-processing More ❯
Model, REST API, HTML and XML or JSON formats Familiarity with Python packages relating to machine learning and text processing, including pandas, NLTK, or SpaCY Ability to use or train to proficiency on customer specific software programs and tools. Ability to collaborate, interact, and communicate effectively with technical and non More ❯
machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Natural Language Processing (NLP) : Experience with NLP techniques and tools, such as spaCy or NLTK. Distributed systems : Knowledge of distributed systems and experience with tools like Kubernetes or Docker. Cloud services : Experience with cloud platforms like AWS, GCP More ❯
models. • Build custom language models tailored to specific industry requirements. What We're Looking For: • Proven experience with NLP frameworks such as Hugging Face, spaCy, or TensorFlow. • Hands-on experience working with Large Language Models (LLMs) and deploying them in production. • Advanced Python skills, with the ability to develop and More ❯
challenges. Requirements: 4-5 years of professional experience in Data Science , with strong focus on NLP . Proven experience with Python and libraries like spaCy, NLTK, Hugging Face Transformers, scikit-learn . Experience working with machine learning frameworks and cloud platforms ( Azure preferred ). Solid understanding of deep learning techniques More ❯
or RLHF. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). Published research in areas of machine learning at major conferences and/or journals. If some of the above doesn't More ❯
