Natural Language Processing Engineer

Position : Java NLP Engineer

Location : Remote/Bangalore/Pune

Experience : 2+ Years

Responsibilities :

• Design and develop NLP solutions using Java or transition to Java-based development.
• Utilize NLP libraries like Stanford NLP, SpaCy, NLTK, or OpenNLP.
• Perform tasks like POS Tagging, Lemmatization, Dependency Parsing, and Phrase Chunking.
• Implement advanced NLP techniques, including text summarization and knowledge extraction.
• Develop rule-based NLP systems and analyze textual data.
• Apply graph algorithms to tasks such as semantic analysis and knowledge representation.
• Leverage resources like WordNet or ConceptNet for language models.
• Conduct information extraction using regular expressions.

Requirements :

• 2+ Years of experience in NLP (industry or academic).
• Proficiency in Java or readiness to adopt Java-based workflows.
• Expertise in syntactic analysis and NLP frameworks.
• Experience with text datasets and building NLP pipelines.
• Knowledge of graph algorithms and lexical databases (WordNet/ConceptNet preferred).
• Strong skills in crafting regular expressions for text extraction.
• Collaborative mindset with excellent problem-solving abilities.

About Wokelo:

Wokelo is an LLM agentic platform for investment research and decision making. We automate complex research and analysis tasks traditionally performed by humans. Our platform is leveraged by leading Private Equity firms, Investment Banks, Corporate Strategy teams, Venture Capitalists, and Fortune 500 companies.

With our proprietary agentic technology and state-of-the-art large language models (LLMs), we deliver rich insights and high-fidelity analysis in minutes—transforming how financial decisions are made.

Headquartered in Seattle, we are a global team backed by renowned venture funds and industry leaders. As we rapidly expand across multiple segments, we are looking for passionate individuals to join us on this journey.

Requirements:

• 0-1 years of experience as a Software Developer.
• Bachelor’s or Master’s degree in Computer Science or related field.
• Proficiency in Python with strong experience in Django Rest Framework.
• Hands-on experience with Django ORM.
• Ability to learn quickly and adapt to new technologies.
• Strong problem-solving and analytical skills.
• Knowledge of NLP, ML models, and related engineering practices (preferred).
• Familiarity with LLMs, RLHF, transformers, embeddings (a plus).
• Prior experience in building or scaling a SaaS platform (a plus).
• Strong attention to detail with experience integrating testing into development workflows.

Key Responsibilities:

• Develop, test, and maintain scalable backend services and APIs using Python (Django Rest Framework).
• Work with Django ORM to build efficient database-driven applications.
• Collaborate with cross-functional teams to design and implement features that enhance the Wokelo platform.
• Contribute to NLP engineering and ML model development to power GenAI solutions (preferred but not mandatory).
• Ensure testing and code quality are embedded into the development process.
• Research and adopt emerging technologies, providing innovative solutions to complex problems.
• Support the transition of prototypes into production-ready features on our SaaS platform.
• Perform adhoc tasks as and when required/assigned by manager.

Why Join Us?

• Opportunity to work on a first-of-its-kind Generative AI SaaS platform.
• A steep learning curve in a fast-paced, high-growth startup environment.
• Exposure to cutting-edge technologies in NLP, ML models, LLM Ops, and DevOps.
• Collaborative culture with global talent and visionary leadership.
• Full health coverage, flexible time-off, and remote work culture.

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

https://www.ynos.in/" target="_blank">YNOS is a next-generation funded startup founded by IIT Madras faculty and incubated at IIT Madras Incubation Cell. It is a digital platform for Entrepreneurs, Investors, Innovators and Eco-system enablers, providing actionable insights on the startup and investment landscape in India. We are passionate about solving tough problems using technology and data, making a difference

The Opening
We are presently seeking for our next enthusiastic, talented, and driven Python Backend Engineer to start right away. We'd want you to

• Be excited about building a next-generation intelligence platform
• Possess a can-do attitude and be open to new challenges
• Value working with a great team - self-assured, creative, and insightful individuals who work together to achieve amazing things
• Be willing to explore, learn, and contribute new ideas to the platform, thereby improving it
• Be high on self-belief and enthusiasm to work in a startup culture - small team, fast-paced work environment

As the Python Backend Engineer in https://www.ynos.in/" target="_blank">YNOS, you will

• Create reusable optimised code and libraries
• Deploy task management systems and automate routine tasks
• Build performant apps that adhere to the best practices, therefore increasing latency, performance, and scalability
• Improve the existing codebase while reducing technical debt
• Take charge of all elements of the application, including architecture, quality, and efficiency

• Proficient understanding of Python language
• Expertise in developing web apps and APIs using Python frameworks like Flask with an overall grasp of client-server interactions
• Familiarity with task management systems and process automation
• Comfortable with using Command Line and Linux systems
• Experience and understanding of version control systems like git, svn, etc
• Knowledge of NoSQL databases such as MongoDB

Good to have

• Expertise in other backend frameworks viz. Django, NodeJS, Go, Rust etc
• Knowledge of data-modelling, data-wrangling & data-mining techniques
• Experience with data visualisation tools & libraries such as Plotly, Seaborn etc
• Exposure to Statistical and Machine Learning (ML) techniques, particularly in the field of Natural Language Processing (NLP)
• Familiarity with front-end tools & frameworks such as HTML, CSS, JS, React, Vue, and others

Work location, Job type & Salary

• Our office is located at https://respark.iitm.ac.in/" target="_blank">IIT Madras Research Park, Chennai, Tamil Nadu, surrounded by the beautiful IITM Campus!
• This is a full-time position and we’d like you to relocate to Chennai
• Expected salary range ₹6L - ₹8L per annum

Must have :

• Strong Experience in Python development
• Familiarity with Data Structures and Algorithms
• Experience in developing Enterprise scale applications
• Exposure to NLP
• Exposure / awareness of AI, ML
• Exposure to Windows Azure is an added advantage
• God understanding of project architecture and software development processes such as Agile and Scrum

Responsibilities :

• Partner with Business Stakeholders to translate business objectives into clearly defined analytical Projects
• Own the end-end process, from recognizing the problem to implementing the solution
• Understand customer’s requirements and design the optimum solution using Icertis’ AI applications
• Configure, Extend, and optimize Icertis AI app through Python scripts, NLP NER Analysis and other mechanisms
• Take full ownership of project / product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale.
• Plan and identify solutions and risks in assigned work
• You are expected to be hands on and write code on day to day basis and also mentor other team members

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

• You will be responsible for design, development and testing of Products
• Contributing in all phases of the development lifecycle

• Writing well designed, testable, efficient code
• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.