Kanini Software Solutions - Data Scientist - R/Python (1-6 yrs)

Job Description :

Want to join KANINI :

We are looking for someone who is intellectual and analytical in their approach and is at the forefront of new advances in technology. As a Data Scientist, you will be developing and deploying scalable and reproducible data science models for solving a variety of business problems.

You are all set to :

- Analyze, design, develop, deploy and monitor complex AI/ML solutions. You are well-versed in Python, R, Analytics, AWS Quick Sight, Open-source Models and Solutions, Big Data, Feature

Engineering, Elastic Search, Mark Logic,and Cloud-infra-architecture.

- Bring to the table an in-depth understanding of NLP, NLU, NLG, NER, Computer Vision, Deep Learning, Ontologies, Knowledge Graphs, and MLOps over AWS and other Clouds.

You are someone who can :

- Lead solutioning on behalf of client, develop and improve models for business solutions and improve efficiency.

- Present solutions with storytelling.

- Strong technology decision making skills are required.

- Define and ensure deliveries adhere to non-functional requirements and schedule.

- Expert in NLP and knowledge graph solution, OCR,PDF extraction, cross language model development, experience with transformers

- Natural Language Processing, machine translation, language detection, classification, and

summarization with different aspects of dealing NLP like Phonology and Morphology.

- Experience with conversational AI and NLQ

- Working Knowledge along with FAIR principles, explainable AI and AI on multiple clouds

- Expert in accuracy and error measurement and model improvement

- Experience working with integration/API patterns.

- Knowledge of Computer Vision, Deep Learning

- Real life project experience, following Python coding standards, design explanations and

collaborating with application development teams, architects, Business, and customer.

- Ability to discover and define functional requirements, interview experts, and transform them into technical requirements and architecture definition.

- Outstanding written and verbal communication skills and effectively influence decisions and positively.

- Experience with Agile Methodology, Design thinking, working with ambiguity, find own path.

- Always ready to learn, work on self-development and teams capability development.

You bring in :

- Python (including packages like SciKit Learn, NumPy,pandas, keras tensorflow)

- SQL experience one or many (Postgres, Oracle, SQL Server, Teradata)

- Experience in VLDB, enterprise environments.

- Programming Language(s): Experience in combinations of SQL, Python

- Experience in Linux/Unix open systems, AWS and/or Windows environment

- Strong analytical skills and ML Modelling experience (Supervised, Unsupervised, Neural Networks)

- Should have experience/expertise in productizing MLbased solutions Should have the breadth on various ML frameworks

- Should have knowledge on the core concepts of Machine Learning

- Good written and verbal communication.

Four or more years of analytical experience.

Even better if you have :

- Experience with other data analysis software andscripting languages (e.g. R, SAS).

- Strong background in statistics.

- Risk management/modelling experience.

- AWS experience a plus

Your qualification is :

- B.E/B.Tech/M.C.A/MSc (preferably in ComputerScience/IT)