Details:

Manas AI is a London-based AI Firm, with its subsidiary in Hyderabad, India. We build products and services that extract actionable intelligence from language (e.g., social media, user conversations, emails, etc.)

 

We are looking for a hands-on NLP/machine learning software engineer who is passionate about crafting, developing, and fielding intelligent solutions that have direct and measurable Product Quality impact to MANAS AI. You will work with various business leaders and executives to help identify viable data mining opportunities and then implement end to end analytical solutions. You should possess a broad knowledge of existing machine and deep learning algorithms and the creativity to invent and customize when vital.

 

Key Qualifications

• Proven understanding of Python, and general software development skills (source code management, debugging, testing, deployment etc.).
• Experience with NLP technologies & the handling of unstructured text.
• Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging and parsing and how they work at a low level.
• Prior experience in implementation of industry solution with traditional ML - classification, regression, or clustering problem.
• Working experience in Software Development Lifecycles, agile methodologies, and continuous integration.
• Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models (RNN, LSTM, GRU).
• Comfort in working with deep-learning libraries (TensorFlow, Keras, Theano, PyTorch).

 

 

Min. Qualification:

Education & Experience

BTech/BE in Computer Science - Certifications in Machine Learning, Data Science, Artificial Intelligence, Computational Linguistics, or related fields - 1 year or more of proven ability applying data science techniques to real business problems.

Skills Required:

Python, Transformers, Bert, NLP

Roles:

Description

 

MANAS has a tremendous amount of data, and we have just scratched the surface in pattern detection, anomaly detection, predictive modelling, and process optimization. There are many more exciting problems on improving customer service experience yet to be discovered and solved and business owners eager to use the power of neural networks and machine learning. We support a collaborative work environment, while allowing solution autonomy on projects.

Conceive and design end to end machine learning solutions to support MANAS AI Business requirements.

• Work with business owners to map business requirements into technical solutions.
• Develop and implement solutions to fit business problems, which may include applying algorithms from a standard tool or custom algorithm development.
• Implement entire ML pipeline from data pre-processing and feature engineering through model building to model evaluation.
• Work closely with data warehouse architects and software developers to generate detailed business intelligence solutions for end users.
• Perform ad-hoc statistical and data science analysis.
• Design model evaluation techniques and present results of analysis to business units.