Natural Language Processing Engineer

About Company : -

A technology and consulting entity specializes in global digital engineering, guiding businesses to adopt human-centric, digital-first operational models. This firm delivers solutions in artificial intelligence, machine learning, cloud services, and custom software creation for a diverse range of sectors, including financial services, automotive, energy, and telecommunications.

Headquartered in Munich, Germany, this organization operates with over 18,000 professionals in 38 countries, maintaining a non-hierarchical, entrepreneurial culture. Its service philosophy emphasizes "Thinking Breakthroughs" to develop unique, tailored software for industry-specific challenges, focusing on accelerating clients' digital transformations through agile and responsible methods.

Job Title : NLP Engineer

Location : -Bangalore

Work Mode : Hybrid

Experience : 5+ yrs.

Job Type : Contract to hire.

Notice Period : - Immediate joiners.

Job Description : -

We are looking for an advanced analyst in our India Analytics team who works closely with the Community Voice team. The analyst must have functional expertise in building analytical solutions using unstructured text data and be a trusted partner to business teams and leaders, to provide scalable insights and solutions enabling data driven decisions. This role is a 6-month contract role with an option to get extended and will sit under the Analytics Centre of Excellence in the Global Ops Insights organization.

• Build, maintain, and scale ML / LLM models for text classification, sentiment analysis, entity recognition, and other NLP tasks using Python libraries such as NLTK, SpaCy, Hugging Face Transformers, and Gensim.
• Utilize SQL and other database tools to query, analyze, and manipulate data stored in multiple relational databases.
• Work on unstructured and semi-structured data sources like social media feeds, reviews, surveys, and customer feedback to generate business insights.
• Implement advanced analytics techniques for clustering, topic modeling (LDA, LSA), and semantic analysis of textual data.
• Develop and maintain dashboards and data visualizations using tools like Tableau, Superset, or Python visualization libraries (Matplotlib, Seaborn, Plotly).
• Collaborate closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to translate business requirements into analytical solutions.
• Stay up to date with the latest trends and best practices in NLP, AI / LLMs and experiment with newer techniques to shift bias towards efficiency.
• Work on improving existing NLP models, pipelines, and workflows, ensuring performance optimization and scalability using feature engineering techniques.

Skills & Expertise :