Data Scientist

We are looking for an exceptional Python Backend Developer to join our engineering team. You will be responsible for managing the interchange of data between the server and the users, developing server-side logic, and ensuring high performance and responsiveness to requests from the front end. The ideal candidate must have a rock-solid foundation in core computer science concepts, specifically Object-Oriented Programming (OOP) and Data Structures and Algorithms (DSA), to design and implement highly scalable and optimised backend systems.

Responsibilities:

• Design, build, and maintain efficient, reusable, and reliable Python code.
• Develop robust, highly scalable, and low-latency backend architectures and APIs.
• Apply strong OOPS principles to build modular and maintainable software systems.
• Utilise advanced Data Structures and Algorithms (DSA) to solve complex computational problems and optimise application performance.
• Integrate user-facing elements developed by front-end developers with server-side logic.
• Implement security and data protection measures.
• Identify bottlenecks, troubleshoot bugs, and devise elegant solutions to mitigate these issues.
• Collaborate cross-functionally with product managers, front-end developers, and QA engineers to deliver high-quality features.

Requirements:

• Core Python: Strong proficiency in Python programming with a deep understanding of its quirks, ecosystem, and best practices.
• OOPs Expertise: Excellent command over Object-Oriented Programming concepts (Inheritance, Polymorphism, Encapsulation, Abstraction) and design patterns.
• DSA Proficiency: Strong problem-solving skills with a deep understanding of Data Structures (Arrays, Trees, Graphs, Hash Tables, etc. ) and Algorithms (Sorting, Searching, Dynamic Programming, etc. ).
• Frameworks: Hands-on experience with popular Python web frameworks such as Django, FastAPI, or Flask.
• Database Management: Solid understanding of relational databases (e. g., PostgreSQL, MySQL) and ORM (Object-Relational Mapper) libraries.
• API Development: Experience in designing and developing RESTful APIs.
• Version Control: Proficient understanding of code versioning tools, such as Git.
• Clean Code: A strong commitment to writing clean, readable, and properly documented code.

Good to Have (Optional):

• Experience with NoSQL databases (e. g., MongoDB, Redis).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Knowledge of asynchronous programming in Python (asyncio).

Key Responsibilities:

·        Connect with clients and resolve their queries via calls, remote desk, and email support.

·        Resolve tickets generated by clients for technical requests and issues to ensure seamless operations.

·        Assist in designing and implementing successful software solutions.

·        Track user tickets and maintain resolution records.

·        Coordinate with the development team for feature enhancements and technical improvements.

1. Channel encoding/Decoding techniques in Digital communication

2. Hands experience on Digital Modulation schemes (BPSK/QPSK/8PSK and QAM)

3. Experience on Digital Filters (FIR/IIR) design and Simulations

4. Hands on experience with Zynq Ultra scale/Kria SoM. Application porting on Peta Linux

5. Experience on FPGA, DSP & ARM Processor

6. Knowledge on SCA Standards

A stealth startup, born from research at Stanford's Human-Centred AI Lab, is building an AI Chief of Staff, designed to revolutionize how we work. 

Most companies building AI agents are automating routine work. But we want to hold AI to a higher bar – an AI that “reasons” and helps humans deal with cognitive overload.

Come work at the intersection of cutting-edge NLP, generative AI and graph learning ML techniques. Help build technology that empowers, not exhausts!

Team: Stanford founder with background in data science, investing, and startups; Staff engineer at Amazon; and top-tier AI practitioners as Advisors (ex-Head of AI at Spotify, Senior Eng Director at Pinterest, AI 2030 Global Leader among others). Harvard and Stanford engineers contributed to early product development.  

Role: Founding ML Engineer, full-time

Location: India. We can sponsor visas to relocate to the US based on fit. 

Compensation: Around INR 25 lakh based on experience + equity

Required Qualifications

• Bachelor’s degree or master’s (preferred) in computer science, engineering, mathematics, or a related technical field from a top-tier institution
• 3+ years of experience building and deploying ML models in production, ideally with “0 to 1” ML work

Technical

• Expertise in NLP: Hugging Face Transformers, BERT, RoBERTa, and techniques like text classification and semantic clustering.
• Experience with LLMs (e.g., GPT-4, Gemini) for prompt engineering, fine-tuning for specific use cases, content generation, and cost-optimized ML infrastructure
• Deep Learning & Graph-Based ML: Proficiency in TensorFlow, PyTorch, XGBoost, GNNs, and dynamic graph databases like Neo4j for modelling relationships
• AI-powered chatbots, integrating LLMs for natural language interaction, feedback processing, and real-time user support
• Real-Time Data Processing & Integration: Skilled in using Apache Kafka and integrating ML models into scalable, reliable back-end systems
• Cloud Deployment: Experience deploying and managing ML services on AWS, GCP, or Azure with a focus on scalability and performance optimization

• Prospecting, generating, qualifying, and following up on leads and appointment setting for the external sales team
• Direct email marketing/cold calling to key clients and prospects
• Collaboratively work with the sales, and marketing team to develop lead generation strategies to generate lead opportunities with prospective customers
• Initiates lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives
• Research, track, maintain, and update leads
• Develop a strong knowledge of the company’s products and services to facilitate the sales process
• Achieving sales lead generation and appointment quota

Key Responsibilities:

• Inside Sales
• Lead Generation
• Executive Email marketing and Cold calling
• International sales experience preferred
• Relevant IT/ERP sales experience preferred

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing React web apps to React Native.

Responsibilities:-

• Research and identify new business opportunities including new markets, growth areas, trends, customers, partnerships, products and services.
• Faster and develop relationship with customers/clients.
• Work strategically carrying necessary planning in order to implement operational changes.
• Have a good understanding of the businesses products or services and be able to advise others about them.

Requirements:-

• Marketing experience(2-4years)
• Self development and continuing personal development
• Multitasking & leadership quality
• Must have problem solving quality & have management skill