Hiring for Data Science Engineer
Client of teamlease private limited
Mechanical Engineer
Client of teamlease private limited • Balrampur, Chhattisgarh • via Freshersworld.com
26 days ago
₹35K–₹60K a month
Full–time
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Job description
Looking for 2021-2023 passed out candidatesMechanical Engineer-• Execute Preventive maintenance jobs across the plant• Carry out Break-down maintenance as well as analyse the reason for failures• Grievance handling of subordinates• Ensure high order of Housekeeping of machines• Implement energy conservation projects• Co-ordinate with production, technical and planning department for smooth work fl...
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Mpowerment Resources Hiring For Data Science Engineer
Hiring for Data Science Engineer
Mpowerment Resources Hiring For Data Science Engineer • Chhattisgarh • via Shine
20 days ago
Contractor
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Job description
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
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Connect call/Whatsapp : 8+10652478
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.