Live opening · Posted 6 hours ago
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About the role
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Neuron7.ai is looking for a Senior Data Scientist who can drive the AI/NLP engine that powers its service predictions. Our technology solves hitherto unsolved issues in the Service Intelligence space to create impactful category-defining products.
Responsibilities:
Lead Neuron7.ai 's core AI/NLP technology that is at the heart of our service prediction engine.
Understand our clients' data, identify signals from noise and build products that harness the intelligence in the signal.
Interface with customer teams in our key industries to truly understand use cases and datasets and solve the prioritized product needs.
Collaborate with the product, engineering, and leadership team in the company.
Build a team of data scientists and data engineers that consists of the best minds in applied AI in the Service domain.
Invent/Apply path-breaking NLP/AI techniques and tools. Stay on top of the latest research in academia and industry.
Requirements:
Builder mindset: We are looking for individuals who are craving to create an impact in an AI-first Enterprise SaaS world.
Ability to operate in a highly ambiguous and fast-paced environment. Passionate about creating and building new products.
Experienced and talented NLP expert who has successfully rolled out Enterprise SaaS products in the CX space. Preferable Service. (7+ years).
Experience across the enterprise NLP and data science spectrum - data engineering, data pipelines, processing large Enterprise datasets, deep learning modules to learn from the signal in the dataset etc. and finally make predictions. (7+ years).
Critical to have diverse heterogeneous dataset experience - CRM data, Documents/Manuals, Device data such as log files, ERP/Engineering datasets, IoT etc.
Expertise in data modelling and ontology detection techniques.
A good combination of startup experience + large enterprise company mix is a huge plus.
Experience in rolling out NLP products in production for verticals such as high-tech, Medical devices, Industrial appliances, and tech manufacturing is great to have.
Technical Skills:
NLP toolkits such as NLTK, Spacy, Gensim, CoreNLP, and OpenNLP.
Deep learning frameworks such as TensorFlow, PyTorch, Keras or Theono Python, and shell scripting.
Algorithms for regression and classification such as Gradient Boosting, SVM, CART etc.
Machine learning toolkits such as scikit-learn, NumPy, SciPy etc.
Text analytics, data analytics, and deep learning architectures such as RNNs, LSTMs, CNNs, GRUs, Transformers etc.
Computer vision and OCR techniques are an added advantage.
Skills
LLMs, Computer Vision, Data Mining, Keras, Machine Learning, NLP, NLTK, Prompt Engineering, Python, PyTorch, Scikit-learn, SciPy, spaCy, TensorFlow
Experience
4-8 yrs
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