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Data Science / Natural Language Processing

NLP Data Scientist Full-time

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  • Business Analysis & Solution Design:< <
  • Engage with business SMEs to gather requirements and translate them into technical specifications.<
  • Design end-to-end solution workflows for AI/ML, NLP, and analytics use cases.<
  • Define project requirements, including milestones, phases, and deliverables, while aligning the development team towards a technical roadmap.<
  • Prepare and evaluate alternative workflow solutions and system modifications to meet business objectives.< < <
  • Technical Implementation & Problem-Solving:< <
  • Conduct exploratory data analysis, data wrangling, and feature engineering using Python and SQL.<
  • Develop and implement machine learning models, including Time Series Analysis, Neural Networks, SVMs, and boosting methods using Python ML libraries.<
  • Apply deep learning techniques and work on LLM/Generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), and hyperparameter tuning.<
  • Provide hands-on coding support and drive the technical implementation of solutions.< < <
  • Collaboration & Communication:< <
  • Work closely with UX teams and business stakeholders to ensure alignment of AI/ML solutions with business needs.<
  • Act as the primary point of contact for clients, ensuring effective communication of project progress, risks, and roadblocks.<
  • Prepare technical reports and maintain user documentation for delivered solutions.< < <
  • DevOps & Cloud Integration:< <
  • Collaborate with DevOps teams to implement CI/CD pipelines, build management, and versioning.<
  • Deploy AI/ML solutions on cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS).
  • Ensure scalable and reliable deployment of solutions by applying DevOps best practices.

    • Required Skills:

    • 5-7 years of experience in business analysis, requirement gathering, and solution design for AI/ML projects.
    • Strong programming skills in Python and SQL.
    • Hands-on experience with machine learning libraries and techniques, including Time Series Analysis, Neural Networks, SVMs, and boosting methods.
    • Experience with Deep Learning and LLM/Gen AI, including Prompt Engineering, RAG, and hyperparameter tuning.
    • Strong understanding of DevOps practices, including CI/CD, build management, and versioning.<
    • Intermediate knowledge of cloud services like Azure, GCP, or AWS.<
    • Excellent communication and collaboration skills to work effectively with business stakeholders and technical teams.<
    • Proficiency in data preparation, data merging, and exploratory data analysis.<
    • Strong analytical and critical thinking skills with a problem-solving mindset.<

    Job Overview

    • Date Posted:
    • Country:
    • City, State: Kolkata
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