Scientist - Natural Language Processing Engineer

Key Responsibilities

• Develop and maintain backend services and APIs using Java (Spring Boot preferred).
• Integrate Large Language Models (LLMs) and Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into applications.
• Collaborate with data scientists to build data pipelines and enable intelligent application features.
• Design scalable systems to support AI model inference and deployment.
• Work with cloud platforms (AWS, GCP, or Azure) for deploying AI-driven services.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews and technical discussions.

Required Skills

• 3–5 years of experience in Java development (preferably with Spring Boot).
• Experience working with RESTful APIs, microservices, and cloud-based deployments.
• Exposure to LLMs, NLP, or GenAI tools (OpenAI, Cohere, Hugging Face, LangChain, etc.).
• Familiarity with Python for data science/ML integration is a plus.
• Good understanding of software engineering best practices (CI/CD, testing, etc.).
• Ability to work collaboratively in cross-functional teams.

🚀 Were Hiring: Staff Engineer – Computer Vision & Machine Learning 🚀

📍 Location: Gurugram

💼 Experience: 7-10 Years

About the Role

We are seeking a passionate Computer Vision and Machine Learning expert to develop advanced solutions in medical imaging. If you’re excited about challenges like image segmentation, object detection, and 3D reconstruction, let’s connect!

Mandatory Technical Skills:

✅ Programming Languages: Proficiency in C++, Python, and C#.

✅ Computer Vision Expertise: Experience with OpenCV for tasks such as:

• Image Segmentation
• Object Detection
• Pattern Recognition
• 3D Reconstruction
• ✅ ML/DL Frameworks: Proficiency in TensorFlow, PyTorch; hands-on experience with models like YOLO, U-Net, ResNet, VGG.
• ✅ Image Processing: Strong understanding of:
• Color-space transformations
• Histogram/Contrast enhancement
• Morphology and frequency domain filtering
• ✅ Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, Ultrasound.
• ✅ Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills.

Additional Preferred Skills:

🔹 Advanced C++ (STL, multithreading, design patterns).

🔹 Python libraries: Numpy, Pandas, Scikit-learn.

🔹 Knowledge of tools like VTK, ITK, or MITK.

🔹 Understanding of healthcare regulations (e.g., FDA, CE).

Why This Role?

You’ll build cutting-edge Computer Vision and Machine Learning solutions for healthcare, making a meaningful impact on lives.

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!

Make Sure before Applying (GitHub Profile Required):

1. Your GitHub must include:

- At least one substantial ML/DL project with documented results

- Code demonstrating PyTorch/TensorFlow implementation skills

- Clear documentation and experiment tracking

- Bonus: Contributions to ML open-source projects

2. Pin your best projects that showcase:

- LLM fine-tuning and evaluation

- Data preprocessing pipelines

- Model training and optimization

- Practical applications of AI/ML

Technical Requirements:

- Solid understanding of deep learning fundamentals

- Python + PyTorch/TensorFlow expertise

- Experience with Hugging Face transformers

- Hands-on with large dataset processing

- NLP/Computer Vision project experience

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!

Are you passionate about building scalable AI-driven systems and leveraging technologies like RAG, prompt engineering, and multi-agentic architectures? Do you have a strong foundation in Python and FastAPI, with experience in integrating AI solutions using the CrewAI framework and Weaviate DB? If so, Pullse is the place for you!

We are looking for an AI Developer with at least one year of experience in AI-driven solutions to join our team. This role involves designing, developing, and optimizing AI-powered backend services using Python, FastAPI, and integrating AI capabilities for advanced tasks.

About Pullse

Pullse is a cutting-edge SaaS startup on a mission to revolutionize customer support with AI-driven solutions. Our platform centralizes support channels, streamlines workflows, and enhances customer experiences with automation. We believe in empowering our team with freedom, transparency, and the opportunity to make a meaningful impact.

The Role

As an AI Developer, you will play a crucial role in designing, developing, and optimizing our AI-powered backend services, ensuring high performance, scalability, and reliability. Your primary responsibilities will include:

• API Development: Design, build, and maintain scalable APIs using Python and FastAPI.
• AI Integration: Integrate AI technologies like RAG (Retrieve, Augment, Generate) and CrewAI for advanced data processing and prompt engineering to enhance AI model interactions.
• Multi-Agent Systems: Develop and implement multi-agentic architectures to simulate complex interactions and decision-making processes.
• Vector Databases: Work with Weaviate DB to store and query dense vector representations for efficient similarity searches and AI model outputs.
• Real-Time Functionality: Implement real-time updates using WebSockets or similar technologies.
• Database Management: Develop and optimize database schemas and queries using PostgreSQL.
• Collaboration: Collaborate with cross-functional teams to design and implement new features.
• Code Quality: Ensure high code quality, security, and performance optimization.
• Testing: Participate in code reviews and contribute to improving engineering processes.

Our Tech Stack

• Backend: Python, FastAPI
• Database: PostgreSQL
• AI Focus: RAG, Prompt Engineering, Multi-Agent Systems, Weaviate DB, CrewAI
• Real-Time Communication: WebSockets

Who You Are

• Experience: At least one year of experience in backend development with Python and FastAPI.
• AI Expertise: Strong experience with AI technologies, including RAG, prompt engineering, and multi-agentic architectures. Familiarity with the CrewAI framework and Weaviate DB is a plus.
• Database Skills: Familiarity with PostgreSQL and database design principles.
• Problem-Solver: Analytical thinker with a knack for solving complex challenges.
• Team Player: Excellent communication skills and a collaborative mindset.
• Learner: Passion for learning and staying updated with the latest AI technologies.

What We Offer

• Competitive Salary: Up to INR 10 LPA.
• Equity: Additional equity options to share in our growth journey.
• Growth Opportunities: Be part of an early-stage startup where your work directly impacts the product and company.
• Flexibility: Work remotely with a supportive and dynamic team.
• AI Focus: Opportunity to work on cutting-edge AI projects and contribute to the future of customer support.

Join us in redefining customer support with AI! 🚀

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred