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.

Company: Amura Health

Location: Velachery, Chennai

Work Model: 6 Days Work From Office (Mandatory)

About Amura Health:

Amura Health is building a transformative health platform focused on improving human potential through better health outcomes. The company believes that healthier bodies lead to healthier brains, enabling people to solve more complex problems, contribute meaningfully to society, and create a better future.

The organization is building next-generation healthcare technology products and platforms that aim to redefine the way medicine is practiced globally. With a strong focus on innovation, scale, and impact, Amura Health operates in a fast-paced, high-ownership environment where engineers work on meaningful and technically challenging problems.

Role Overview

We are looking for a highly skilled Senior Backend Engineer with strong expertise in Node.js and distributed backend systems. The ideal candidate should have experience building scalable APIs, microservices, and backend infrastructure capable of handling high-performance workloads.

This role requires end-to-end ownership of backend modules, including architecture, development, testing, deployment, optimization, and production support. The candidate will collaborate closely with engineering, DevOps, and product teams to build reliable and scalable systems.

Key Responsibilities

Develop scalable backend services, APIs, and microservices using Node.js frameworks such as Express.js and NestJS.

Own backend modules end-to-end from design and implementation to testing and deployment.

Write clean, maintainable, reusable, and high-quality production-grade code.

Optimize application performance, scalability, reliability, and system efficiency.

Troubleshoot production issues, perform root cause analysis (RCA), and improve platform stability.

Work with relational and NoSQL databases for scalable data management.

Implement caching solutions using Redis and optimize API response times.

Work with queues and asynchronous processing systems such as Kafka, RabbitMQ, or Amazon SQS.

Collaborate with DevOps teams for CI/CD pipelines, deployment automation, and infrastructure improvements.

Participate in system design discussions and architectural decision-making.

Contribute to engineering best practices, documentation, and code review processes.

Work effectively in a fast-paced startup environment with high ownership and accountability.

Required Skills & Technical Expertise

Strong expertise in Node.js and backend development.

Hands-on experience with TypeScript, Express.js, and NestJS.

Strong understanding of asynchronous programming and event-driven systems.

Experience designing and consuming REST APIs.

Strong knowledge of microservices architecture and distributed systems.

Experience with SQL databases such as PostgreSQL and MySQL.

Experience with NoSQL databases such as MongoDB, DynamoDB, and Redis.

Knowledge of caching strategies and performance optimization.

Hands-on experience with messaging systems such as Kafka, RabbitMQ, or SQS.

Understanding of Docker, Git, and CI/CD pipelines.

Exposure to AWS cloud infrastructure and deployment environments.

Strong debugging, monitoring, and performance tuning skills.

Knowledge of scalable backend architecture and system reliability.

Eligibility Criteria

4 to 7 years of hands-on backend development experience.

Bachelor’s degree in Computer Science, Information Technology, or related engineering discipline.

Candidates from strong product engineering backgrounds will be preferred.

Experience working in fast-paced startup or high-growth product environments is preferred.

Strong communication, ownership, and problem-solving abilities are essential.

Must be comfortable working from office 6 days a week in Velachery, Chennai.

Ideal Candidate Profile

The ideal candidate is a strong backend engineer who has experience building scalable systems in product-driven environments. They should be comfortable taking ownership of backend services, solving complex engineering challenges, debugging production issues, and collaborating across teams.

The candidate should possess a startup mindset, demonstrate accountability, move quickly, and contribute proactively to engineering excellence.

Work Environment & Expectations

Work from Office model with mandatory in-office presence.

6 working days per week from the Velachery, Chennai office.

High ownership and accountability-driven engineering culture.

Collaborative and fast-paced startup environment.

Candidates should be comfortable working on high-impact systems and solving challenging technical problems.

Company Website

https://amura.ai

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

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

What You’ll Do

-Build autonomous AI agents using LangChain, LangGraph, and similar frameworks.

- Develop RAG pipelines with vector DBs like FAISS, Pinecone, or ChromaDB.

- Create FastAPI endpoints to expose agent functionality.

- Implement Model Context Protocol (MCP) for tool-agent integrations.

- Optimize prompts, workflows, and retrieval strategies for real performance.

- Contribute to new agentic AI design patterns and innovations.

Who Should Apply

We’re looking for freshers who are:

-Strong in Python and love experimenting with AI/ML projects.

- Familiar with one or more of these: LangChain/LangGraph, HuggingFace, PyTorch/TensorFlow, RAG pipelines.

- Active on GitHub with 2–3 well-documented projects (clean code + clear README).

- Curious, hands-on builders who want to learn by doing.

Bonus Points if you’ve dabbled with:

- LLM fine-tuning (LoRA, QLoRA), memory systems. AutoGen, CrewAI, MCP, or other agent frameworks.

- Docker, async programming, API integrations.

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

We're Hiring: Senior Developer (AI & Machine Learning)** 🚀

🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure

🧠 **Role**: AI/ML development, backend architecture, cloud deployment

🌍 **Location**: Remote (India)

💼 **Experience**: 5-10 years

If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!

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

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

Gnani.ai aims to empower enterprises with AI based speech technology.

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

NLP Software Developer

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

Requirements :

• Proficient knowledge of Python
• Proficient understanding of code versioning tools, such as Git / SVN.
• Good knowledge of algorithms to find and implement tools for NLP tasks
• Knowledge of NLP libraries and frameworks
• Understanding of text representation techniques, algorithms, statistics
• Syntactic & Semantic Parsing
• Knowledge/work experience on No-SQL database Mongo.
• Good knowledge of Docker container technologies.
• Strong communication skills

Responsibilities :

• Develop NLP systems according to requirements
• Maintain NLP libraries and frameworks
• Design and develop natural language processing systems
• Define appropriate datasets for language learning
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Constantly keep up to date with the field of machine learning
• Implement changes as needed and analyze bugs

Good To Have :

Start up experience is a plus

• 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.