Data Science Role - IT

Urgent Hiring for Data Science Engineer

Profile 01: Data Science Engineer (Mid level)

Experience: 3-5 years

Packages: upto 50 Lacs pa

Profile 02: Senior Data Science Engineer

Experience: 5-7 years

Packages: upto 80 Lacs pa

Duration: 06 months (Extendable) ~ depends upon the project

Work mode: On-site

Job location: Chhattisgarh

IMMEDIATE JOINING

Connect call/Whatsapp : 8910652478

Requirements:

- Bachelor's degree or higher in Computer Science, Engineering, or related field.

- Programming and/or data mining experience with R will have advantage

- Strong proficiency in Python programming and experience with relevant libraries (e.g., NLTK, spacey, sickie-learn, Tensor Flow, PyTorch).

- Solid understanding of NLP concepts and techniques, including tokenization, word embeddings, and text preprocessing.

- Experience with building and optimizing data pipelines using tools such as Apache Spark, Kafka, or Airflow.

- Familiarity with cloud platforms such as AWS, Azure, or GCP, and their data services (e.g., S3, Big Query, Dataflow).

- Knowledge of database systems (e.g., SQL, NoSQL) and experience with data modeling and schema design.

- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

- Experience with version control systems (e.g., Git) and agile development methodologies is a plus.

Responsibilities:

- Develop and maintain data pipelines to ingest, process, and analyze large volumes of text data.

- Implement NLP algorithms and techniques for tasks such as text classification, named entity recognition, sentiment analysis, and topic modeling.

- Collaborate with data scientists to integrate NLP and ML models into production systems.

- Optimize data processing and model inference pipelines for performance and scalability.

- Design and implement data storage solutions that support efficient access and retrieval of structured and unstructured data.

- Work with cross-functional teams to understand requirements and translate them into technical solutions.

- Stay updated on the latest developments in NLP and ML research and technology.