Graphic Designer

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Machine Learning +Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker

Notice period - 0 to 15days only

Hybrid work mode- 3 days office, 2 days at home

Strong Data Scientist/Machine Learnings/ AI Engineer Profile

Mandatory (Experience 1) – Must have 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models

Mandatory (Experience 2) – Must have strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.

Mandatory (Experience 3) – Must have hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models

Mandatory (Experience 4) – Must have strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text

Mandatory (Experience 5) – Must have experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments

Mandatory (Company) – Must be from product companies, Avoid candidates from financial domains (e.g., JPMorgan, banks, fintech)

We are looking to expand our existing Python team across our offices in Surat. This position is for SDE-1 - Junior Software Engineer. 

The requirements are as follows:

1) Familiar with the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts (We do ask a lot of questions on this on our interviews)

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact - nine three one six one two zero one three two

Nurturebox is on a mission to redefine lead generation for the staffing industry with AI-powered precision and insights. We’re seeking a talented AI Scientist to join us in building a next-gen platform that goes far beyond basic lead gen – we’re building an intelligent system designed to deliver warm, qualified leads and actionable buyer insights on demand.

This role is not about plugging into a pre-existing AI stack. You’ll be our first AI hire, bringing your expertise to a ‘plain white canvas’ where you’ll architect and implement our entire AI framework from scratch. Our focus isn’t just on automation but on crafting a solution that actively adapts to industry nuances, incorporating intent data, job listings, and hundreds of signals to zero in on ideal prospects.

Our recruitment product has already gained significant traction, and with you on board, we’re ready to level up to Nurturebox 2.0, pushing the boundaries of personalized, data-driven prospecting. You’ll work alongside our founding team in a flat hierarchy, so there’s zero red tape—just an open runway for innovation. If you’re passionate about tackling complex problems and crave a role where you can directly shape the future of recruiting tech, Nurturebox is where you’ll make your mark.

This is a chance to build a transformative platform from the ground up, with end-to-end ownership and the freedom to create AI-driven solutions that solve real-world staffing challenges. If you’re ready to redefine what’s possible in lead generation, we’d love to meet you.

Why We’re Building This?

By 2030, AI agents/teammates will be embedded in every department of every major enterprise. Engineers, PMs, sales reps—all will work alongside AI "colleagues" that do more than assist; they learn, adapt, and execute autonomously. Imagine hiring AI to do the job, not just assist with it.

At Nurturebox, we’re building that vision specifically for the staffing industry. We know this space inside and out, and we’re crafting a true AI teammate product, not a glorified chatbot or simple co-pilot. This AI is the product—a powerful, adaptive system built to tackle staffing’s unique challenges. 

This is a role to architect something truly groundbreaking from scratch: to create an AI teammate that not only integrates seamlessly but transforms how the staffing industry operates. If you're ready to redefine what AI can do in a business-critical environment, let’s talk about how you could lead the charge with us.

About Ideas2IT (Parent Company)

Ideas2IT is a high-end product development firm growing fast with prestigious logos like Facebook, Bloomberg, Roche, Medtronic, and many exciting SAAS startups.

We have a proven track record of successfully launching 5 startups in the last 6 years. All of them are venture-funded by top-tier firms and have great traction.

• Pipecandy - eCommerce AI. Successfully exited
• Element5 - Healthcare AI. $50M in funding from Insight venture partners
• Carefi.in - Healthcare Fintech. Funded by Sequoia
• IdeaRx - Funded by the second-largest eye care chain in the world
• NurtureBox - Recruitment AI and automation

In this role, you will:

• Conduct deep research on the foundations and capabilities of LLMs.
• Design and implement innovative research projects to explore the application of LLMs for code understanding and generation.
• Develop and evaluate novel techniques for LLM fine-tuning and adaptation to the specific needs
• Collaborate with engineers and other scientists to integrate LLM solutions seamlessly into the Nurturebox platform.
• Stay up-to-date on the latest advancements in LLM research and present findings at conferences and within the company.
• Build a RAG-based solution and leverage Vector DB, Graph DB, chunking, ranking, indexing, semantic search, etc.

You are the ideal candidate if you have:

• Strong foundation skills in AI/ML systems
• Hands-on experience of working with LLMs
• Proven experience conducting deep research on LLMs, with a strong understanding of their architecture, training methods, and capabilities.
• Expertise in natural language processing (NLP) techniques, including text representation, machine translation, and text summarization.
• A solid foundation in machine learning fundamentals, including deep learning architectures and optimization algorithms.
• Excellent programming skills in Python, with experience using popular deep learning libraries (e.g., TensorFlow, PyTorch). 
• Excellent communication and collaboration skills, with the ability to effectively present complex technical concepts to technical and non-technical audiences.
• A passion for innovation and a desire to push the boundaries of what's possible with LLMs.
• Knowledge of LLM evaluation methodologies

Bonus points for:

• Experience working with LLM for codebase
• Experience in building and deploying real-world LLM applications.
• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP).
• A strong publication record in top AI and NLP conferences and journals.

At Nurturebox, you'll join a team of passionate individuals working on the cutting edge of AI. We offer a collaborative and stimulating work environment, competitive compensation and benefits, and the opportunity to impact the future of Agentic AI.

If you're ready to take your LLM expertise to the next level and help us revolutionize Agentic AI transformation, we encourage you to apply! 

• Java
• Springboot
• REST API
• Microservices

We are looking for an experienced cross platform Mobile Developer with 2-5 years of building performant mobile apps on both iOS and Android platforms.  You are in top 5% of your field and are passionate about creating new products and innovative code.  We are building a solution that deploys elements of tokenization using block chain, ML driven portfolio selection and risk management, and a proprietary alternate secondary market for illiquid securities.  You would be developing and maintaining Cross platform Android and iOS applications. You will be working alongside other engineers and developers working on different layers of the infrastructure.

Key Requirements

• BE/ BTech or MTech/ Dual degree in Computer Science/ Software engineering or similar from a Tier 1 institute.
• Thorough understanding of Flutter and its core principles.
• Proficient in Dart6 Programming.
• Knowledge of Swift, Obj C, Xamarin & native build tools, like Xcode, Gradle (Android Studio, IntelliJ)
• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Familiarity with RESTful APIs, JavaScript & React Native
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Be extremely conversant in table stakes software engineering toolchain - Linux/Shell, IDE’s, Git, Debuggers, Profilers.
• Strong knowledge of UI design principles, architecture patterns, and best practices for development.
• Ability to write well-documented, clean code
• Experience launching and managing production mobile apps
• Ability to deep dive into problem-solving and build elegant, maintainable solutions to complex problems, in addition to excellent interpersonal skills.

• Dusting & Cleaning duties
• Handling Printing & Stationery department
• Managing filing system.
• Recording information as needed.
• Greeting clients and visitors as needed.
• Updating paperwork, maintaining documents and word processing.
• Helping organize and maintain office common areas.
• Performing general office clerk duties and errands.
• Banking deposits
• Coordinating events as necessary.

• Maintaining supply inventory.
• Maintaining office equipment as needed.
• Manage house keeping department
• Hospitality ( Serving refreshments )
• pick up & drop of Courier
• Stocking & inventory management