Data Scientist

About the Role:

We’re looking for a curious and motivated NLP enthusiast to help us build and fine-tune Named Entity Recognition (NER) models tailored to our domain. In addition to NER, you’ll play an important role in developing ontologies that underpin our understanding of entities and relationships—so if you’ve used tools like Protégé or are excited to learn, this is your chance.

Responsibilities:

• Train and fine-tune NER models using frameworks like SpaCy, HuggingFace, or similar
• Preprocess text data and support annotation efforts using tools like Label Studio or Prodigy
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• Evaluating model performance and improving precision/recall
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• Adapting pre-trained models to domain-specific data
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• Develop and maintain domain ontologies using tools like Protégé
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• Refine ontology structure and concept hierarchy
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• Document experiments and share insights with the engineering team
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You Should Have:

• Familiarity with Python and NLP libraries (e.g. NLTK, SpaCy, Transformers)
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• Understanding of key NER concepts and evaluation metrics (precision, recall, F1-score)
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• Exposure to ontology development, semantic relationships, or ontology modeling (via coursework or internship)
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Experience working with text datasets, even academic ones like CoNLL or OntoNotes

● Write Effective Codes In C++, Develop Software For Embedded Systems Based On STM32, NRF
● Support And Improve Existing Software
● Prepare Documentation For The Created Software. Qualifications
● Confident Knowledge Of C++ 17, Object-Oriented Programming, Embedded Software Development
● Proficiency With Microcontrollers Of The STM32 And / Or NRF Series
● Experience With RTOS
● Familiarity With Git, Linux
● Technical English
● Knowledge Of Python As An Advantage
● Any Experience With UAS \ UAV \ Drones is much appreciated

Responsibilities

1. Create data funnels to feed into models via web, structured and unstructured data
2. Maintain coding standards using  SDLC, Git, AWS deployments etc
3. Keep abreast of developments in the field
4. Deploy models in production and monitor them
5. Documentations of processes and logic
6. Take ownership of the solution from code to deployment and performance

What you need to have:

You will:

• Write excellent production code and tests and help others improve in code-reviews
• Analyze high-level requirements to design, document, estimate, and build systems
• Coordinate across teams to identify, resolve, mitigate and prevent technical issues
• Coach and mentor engineers within the team to develop their skills and abilities
• Continuously improve the team's practices in code-quality, reliability, performance, testing, automation, logging, monitoring, alerting, and build processes

You have:

For (Fullstack):

• 2 - 10 Years of experience
• Strong with DS & Algorithms
• Hands on Experience in the Programming languages: JavaScript (React or Angular), Python, SQL.
• Experience with AWS.

For (Geo Team):

• 4 - 10 years of experience
• Experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc
• Experience using object-oriented languages (Java, Python)
• Experience in working with different AWS technologies.
• Experience in software design, architecture and development.
• Excellent competencies in data structures & algorithms.

For (Backend):

• 2 - 10 years of experience
• Hands on product development experience using Java/ C++/Python
• Experience with AWS,SQL,GIT
• Strong with Data structures and Algorithms

Additional nice to have skills/certifications:

For Java skill set:

Mockito, Grizzly, Netty, VertX, Jersey / JAX-RS, Swagger / Open API, Nginx, Protocol Buffers, Thrift, Aerospike, Redis, Kinesis, Sed, Awk, Perl

For Python skill set: Data Engineering experience, Athena, Lambda, EMR, Spark, Glue, Step Functions, Hadoop, Kinesis, Orc, Parquet, Perl, Awk, Redshift

For (Data Engineering):

• 2 - 10 years of experience
• Experience with object-oriented/object function scripting languages: Python.
• Experience with AWS cloud services: EC2, RDS, Redshift,S3,Athena, Glue
• Must be proficient in GIT, Jenkins, CICD (Continuous Integration Continuous Deployment)
• Experience in big data technologies like Hadoop, Map Reduce, Spark, etc
• Experience with Amazon Web Services and Dockers