Brief Description of position:

About StrateSphere:  (WWW.STARTESPHERE.COM  & WWW.KOGNETICS.COM)

StrateSphere is a global platform design and execution company headquartered in the US, dedicated to helping our clients leverage growth opportunities in local and global economies. We are a diverse and passionate team of entrepreneurial professionals with years of global experience serving a wide range of sectors and industries. Our goal is to be a bridge that creates global connectivity and opportunity. We leverage our analytics platform, Kognetics.com, based on leading technologies, cloud platforms and big data tools to aggregate company and market data from a wide range of sources and deploy machine learning and graph analytics to mine the data and discover new business opportunities for clients. In bringing innovative solutions to global economic and social challenges, we build financial value for our clients, forging positive economic impact in their communities, and empowering young adults by engaging them in educational opportunities.

Location

Hyderabad

Primary Role:

Minimum Requirements 

• Study and transform data science prototypes 
• Design NLP applications 
• Select appropriate annotated datasets for Supervised Learning methods 
• Use effective text representations to transform natural language into useful features 
• Find and implement the right algorithms and tools for NLP tasks 
• Develop NLP systems according to requirements 
• Train the developed model and run evaluation experiments 
• Perform statistical analysis of results and refine models 
• Extend ML libraries and frameworks to apply in NLP tasks 
• Remain updated in the rapidly changing field of machine learning 

Summary of Responsibilities

The role of NLP Engineer is to improve our NLP products and create new NLP applications. NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques. Key tasks will include: 

• Designing and developing NLP applications 
• Using effective text representation techniques and classification algorithms 
• Training and evaluating models 

Desired Skills

• Proven experience as an NLP Engineer or similar role 
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling 
• Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc.), statistics and classification algorithms 
• Knowledge of Python, Java; Ability to write robust and testable code 
• Experience with machine learning frameworks (like TensorFlow or Keras or PyTorch) and libraries (like scikit-learn) 
• Tools: Standford NLP, UIMA, Neo4j, Grakn; Knowledge Graphs: Yago, DBPedia 
• Effective communication skills; An analytical mind with problem-solving abilities
• Degree in Computer Science, Mathematics, Computational Linguistics, or similar field