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Data Scientist

  • Hyderabad, Bengaluru
  • 3 to 6 Years
  • Full time
  • 01 Position
  • Morristown, NJ
  • Full time
  • 10 to 15 Years
  • 01 Position
  • Education/
    Qualification -

Bachelor’s degree in Computer Science, Software Engineering or Mathematics 

  • Desirable Skills -

Data Science, AI, ML 

Job Description

We are looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to produce actionable insights and compelling visualizations, define data requirements, while identifying and mitigating risks and governing AI applications. 

Department

Engineering – Software & QA 

Skills Required

Data Science, AI, ML 

Key Responsibilities:

  • Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs. 
  • Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems. 
  • Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality. 
  • Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements. 
  • Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders. 

Qualifications:

  • Experience with Open Source LLM and Langchain Framework and and designing efficient prompt for LLMs. 
  • Proven ability with NLP and text-based extraction techniques. 
  • Experience in Generative AI technologies, such as diffusion and/or language models. 
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. 
  • Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud. environment. 
  • Experience with common data science toolkits, such as NumPy, Pandas etc. 
  • Proficiency in using query languages such as SQL.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc. 
  • Experience working with large data sets along with data modeling, language development, and database technologies.
  • Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. 
  • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. 
  • Excellent verbal and written communication skills 

If you are passionate about data scientist and want to contribute to an innovative and dynamic team, we encourage you to apply! 

Apply Now

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