Sytem Administrator L2

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

sales engineer data center MEP or power science industry electrical systems power destributions

mechanical HVAC Systems or other MEP companies

sales in B2B space in techanical industry

About Us

Design is at the heart of everything we do. We are ambitious to build a great global brand and we also take a lot of pride in having built a world-class product and continue to do so in a cutting edge field like Natural Language Understanding. Across both, design has played a crucial role so far and it will continue to be one of the most important hires for interface. Hence you will be working directly with the CEO.

Today, interface provides an out-of-the-box AI Assistant that acts as a “Personal Bank Teller” to help customers 24x7 through every step of the journey from a prospect to a customer. It is used by several financial institutions (FIs) across 5 countries spanning millions of conversations. Our customers have already witnessed over $50M+ ROI in just under 12 months.

Our vision is to put an AI-powered Personal Banking Assistant in everyone's pocket that not only helps with day-to-day banking needs but also helps with financial education to help each individual achieve financial wellness.

As a Lead Product Designer you will be in charge of :

1. Platform - Our platform is a suite of tools that makes the underlying core technology usable for FIs and there are certain parts that will also be used by the customers of the FIs. So you have an opportunity to design for both B2B and B2C.
2. Branding - All design aspects of creating, evolving and maintaining the brand
3. Conversation Design Principles - You will create and own the Conversation Design Principles, which will be used by the rest of the teams to design how our AI Assistant will converse.

You can be a great fit if you are :

1. Extremely self-motivated
2. Ability to learn quickly
3. Growth mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Think like an engineer, empathize like an end-user
8. 4+ years of experience in SaaS Product Design
9. Experience in owning Product and Branding as a Full Stack Designer
10. Experience in owning Conversation Design Principles previously is a plus otherwise you are a native English speaker who has an eye for UX with words and worry the UI/UX as we know today will not exist soon :)

At interface, just like many other companies, we have made mistakes as we grow. But we have learnt from it and have gotten better. And we thank all of our employees who provided genuine feedback on the forums like Glassdoor. For others, it has become a punching bag of sorts specifically former employees who have had short tenures with us. If this bothers you, we understand. But people who typically work in startups understand this happens. 

We recommend you reach out to any of our employees who have stayed with us over an extended period if you would like to get an unbiased view if necessary.

The Full-Stack Engineer role involves working across prosuct development stack, including various backend systems, frontend systems as well as quick prototyping of proof-of-concept features and projects.

Responsibilities:

• Architecting Figuring out all levels of designing and structuring systems, deciding on optimal levels of abstraction and future-proofing, patterns of orchestration of components and finally planning its execution.
• Implementation Should be able to structure and write code like prose for others to read, design and adhere to common principles and patterns that make everyone better at their jobs. Should have the ability to contribute according to timelines and type of projects - from working POCs to stable production code and the ability to work with a large breadth of knowledge.
• Orchestration and integration Interact with the larger engineering team for integrating your work into the ecosystem, help others in building over the base that you provide, help in orchestrating your work into CI/CD, testing, QA and automation pipelines.
• Mentorship We all love to learn and grow as engineers and human beings and we believe in synchronous growth as a team fueled by each and every individual's personal abilities, specializations, and interests.
• To enable this you'll be required to mentor others by sharing your expertise in various forms and be subject to be mentored by others and thus maintain a continuous learning culture.
• Ownership End-to-end ownership of services and specialised components required for various projects - starting from prototypal stage to production-hardened. These may include anything from document parsing to solving problems using deep learning.
• Documentation Create advanced technical content including articles, samples, whitepapers, and training.

Ruby on Rails Developer Responsibilities:

• Designing and developing new web applications.
• Maintaining and troubleshooting existing web applications.
• Writing and maintaining reliable Ruby code.
• Integrating data storage solutions.
• Creating back-end components.
• Identifying and fixing bottlenecks and bugs.
• Integrating user-facing elements designed by the front-end team.
• Connecting applications with additional web servers.
• Maintaining APIs.

Ruby on Rails Developer Requirements:

• Bachelor’s degree in computer science, computer engineering, or related field.
• Experience working with ruby on rails as well as libraries like Resque and RSpec.
• Ability to write clean ruby code.
• Proficiency with code versioning tools including Git, Github, SVN, and Mercurial.
• Experience with AngularJS or BackboneJS.
• Familiarity with MVC, Mocking, RESTful, and ORM.
• Good understanding of front-end technologies including HTML5, JavaScript, and CSS3.
• Knowledge of server-side templating languages including Slim and Liquid.
• Familiarity with testing tools.

Title: Art Producer/Senior Art Producer

Main responsibilities:

• Manage the art production of incredibly compelling, high-quality smartphone games.
• Plan and oversee the 2D, 3D, UI, and Technical Art planning using project planning tools like Google or MS Excel sheet.
• Follow the delivery plan and coordinate with art, art leads, design, product, and engineering for deliveries.
• Initiate and track all production processes through art stand up meetings, scrum, or similar approach.
• Ensure timely delivery of art milestones while safeguarding the quality of artwork in accordance with the pre-defined art production schedule.
• Work with art leads and art directors to evaluate and sign-up new outsourcing art and sound vendors.
• Work with vendors to finalize the vendor delivery plan and co-ordinate with vendors for timely deliveries.
• Work with project stakeholders to get their feedback on assets delivered by the vendors, communicate back to the vendors, and get the updated asset deliveries.
• Contribute to improving the quality of our games, the productivity of our art teams, and the efficiency of our art processes.

 Profile / Requirements

• 5-15 years of overall experience in managing Art Production. Min 3 years of relevant experience.
• Candidate must have worked on and have shipped at least 1 game on Play Store or App Store (preferred).
• Must haveexperience in games developed in the Unity game engine.
• Must have experience of working with frontend Unity developers and technical artists, product managers, and game designers.
• Experience in tools like Jira, Slack, Asana, Trello, Monday, Google docs, and Google sheets.
• Experience with asset management tools like AlienBrain or any similar software.
• Extremely strong project management skills and good at planning in all situations.
• Excellent knowledge of game art production pipelines.
• Excellent interpersonal skills, combining leadership and diplomacy.
• Excellent verbal and written communication skills.

Join us in making the fastest fashion brand on earth. We live & breathe trends. Working on 3D Virtual Design Technology we launch new trends even before they're produced. Making us the only fast fashion brand to be sustainable at the same time. Enabling young shoppers, first-hand access to latest styles with our Digital Only Collection.

We waste nothing but data & exploit nothing but our imagination. We operate at the intersection of fashion & technology. #SpeakSomethingNew is our mantra.

We're looking for a retail ninja who can join in our core team to look after business development & sales. We don't hire many. A small, highly passionate team working to redefine fashion. Apply only if you can execute at breakneck speed, can handle stress, and highly passionate about fashion-tech.

Roles & Responsibilities:

1. Revenue generation of across product categories and regions.
2. Strategize and Plan the Sales Process Management, Forecasting, Pricing, Expenses, Profitability, Market Research and Business Development Strategy.
3. Managing & establishing channel sales distributors.
4. Monitoring of sales portfolio, category wise and distributor wise.
5. Monthly review & evaluation of Mis Reports (Area Performance, Top Distributors Performance, Top Selling Products Movements, Overdue & Outstanding).
6. If required visit Business Partners in person to review business and cultivate strong working relations. Ensure a strong relationship management with key clients.
7. Must have handled P&L responsibility.
8. Proven track record of fashion business growth.
9. Identifying and executing list of entities with whom we can collaborate and have a fruitful long-term partnerships.
10. Be the first point of contact for retail clients and ensure the USPs of HeSpoke are clearly communicated.
11. Generating new business opportunities and gathering requirements from existing clients/new clients.
12. Creating & analysing weekly and monthly reports.

What to expect:

1. Flexible working hours.

2. Hockey stick growth as the brand scales.

3. ESOPs.

4. Your fashion expenditure sponsored by HeSpoke upto INR five thousand every month.