The company is looking for a Senior Data Engineer who can drive the AI/NLP engine that powers its offering.
Responsibilities:
- Lead the company's core AI/NLP technology.
- Understand the data, identify signal from noise and build products that harness the intelligence in the signal.
- Interface with teams in their key industries to truly understand use cases and datasets and solve for the prioritized product needs.
- Collaborate with the product, engineering, 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.
- Builder mindset: They are looking for individuals who are craving to create an impact.
- Ability to operate in a highly ambiguous and fast-paced environment. Passionate about creating and building new products.
- Experienced and talented NLP expert.
- Experience across the enterprise NLP and data science spectrum – data engineering, data pipelines, process large Enterprise datasets, deep learning modules to learn from the signal in the dataset etc. and finally make predictions.
- Expertise in data modeling and ontology detection techniques
- 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 device, Industrial appliance, High Tech manufacturing is great to have
- NLP toolkits such as NLTK, Spacy, Gensim, CoreNLP, OpenNLP
- Deep learning frameworks such as TensorFlow, PyTorch, Keras or Theono
- Python, 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, deep learning architectures such as RNNs, LSTMs, CNNs, GRUs, Transformers etc.
- Computer vision, OCR techniques is an added advantage
DeWinter Group and Maris Consulting is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We post pay scales which are based on our client pay ranges. DeWinter, Maris, and our clients have the right to modify the requirements of the role which can impact the pay ranges posted.
