
We are seeking an experienced and results-driven HR Business Partner to align our HR initiatives and functions with business objectives and business needs. Duties for the HR Business Partner will include aligning staff to business objectives, recruiting the right talent, enhancing staff performance, supporting employee development, enhancing recruitment efforts, planning strategic HR initiatives, running orientation and onboarding processes, communicating role expectations, designing succession plans, maintaining staff relations, updating policies and practices, and overseeing wellness and health initiatives. Your experience in human resources management will aid our organization in adding value to overall business objectives, providing HR solutions, resolving personnel grievances, retaining a talented workforce, and ensuring compliance with regulations.

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Director - Backend | Snapmint About Snapmint.
Experience: 12+ years, Location: Gurgaon.
Founded by serial Entrepreneurs from IIT Bombay, Snapmint is challenging the way banking is done by building the banking experience ground up. Our first product provides purchase financing at 0% interest rates to 300 Million banked consumers in India who do not have credit cards using instant credit scoring and advanced underwriting systems. We look at hundreds of variables, much beyond traditional credit models. With real time credit approval, seamless digital loan servicing and repayments technology we are revolutionizing the way banking is done for todays smartphone-wielding Indian. https://snapmint.com/
Job Overview: As Director Backend, you will lead a team of backend engineers, driving the development of scalable, reliable, and performant systems. You will work closely with product management, front-end engineers, and other cross-functional teams to deliver high-quality solutions while ensuring alignment with the companys technical and business goals. You will play a key role in coaching and mentoring engineers, promoting best practices, and helping to grow the backend engineering capabilities.
Key Responsibilities:
- Lead, mentor, and manage a team of backend engineers, ensuring high-quality delivery and fostering a collaborative work environment.
- Collaborate with product managers, engineers, and other stakeholders to define technical solutions and design scalable backend architectures.
- Own the development and maintenance of backend systems, APIs, and services.
- Drive technical initiatives, including infrastructure improvements, performance optimizations, and platform scalability.
- Guide the team in implementing industry best practices for code quality, security, and performance.
- Participate in code reviews, providing constructive feedback and maintaining high coding standards.
- Promote agile methodologies and ensure the team adheres to sprint timelines and goals.
- Develop and track key performance indicators (KPIs) to measure team productivity and system reliability.
- Foster a culture of continuous learning, experimentation, and improvement within the backend engineering team.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 12+ years of experience in backend development with a proven track record of leading engineering teams.
- Strong experience with backend language ie. Node.js
- Experience working with databases (SQL, NoSQL), caching systems, and RESTful APIs.
- Familiarity with cloud platforms like AWS, GCP, or Azure and containerization technologies (e.g., Docker, Kubernetes).
- Solid understanding of software development principles, version control, and CI/CD practices.
- Excellent problem-solving skills and the ability to architect complex systems.
- Strong leadership, communication, and interpersonal skills.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- Banking Domain
- Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
- Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
- Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
- Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
- Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
- Keen interest to learn new technologies and latest developments and apply them to projects assigned.
| Desired Skills |
- Professional Hands-on coding experience in python for over 1 year for Data scientist, and over 3 years for Sr Data Scientist.
- This is primarily a programming/development-
oriented role - hence strong programming skills in writing object-oriented and modular code in python and experience of pushing projects to production is important. - Strong foundational knowledge and professional experience in
- Machine learning, (Compulsory)
- Deep Learning (Compulsory)
- Strong knowledge of At least One of : Natural Language Processing or Computer Vision or Speech Processing or Business Analytics
- Understanding of Database technologies and SQL. (Compulsory)
- Knowledge of the following Frameworks:
- Scikit-learn (Compulsory)
- Keras/tensorflow/pytorch (At least one of these is Compulsory)
- API development in python for ML models (good to have)
- Excellent communication skills.
- Excellent communication skills are necessary to succeed in this role, as this is a role with high external visibility, and with multiple opportunities to present data science results to a large external audience that will include external VPs, Directors, CXOs etc.
- Hence communication skills will be a key consideration in the selection process.
AI Engineer – Supaboard.ai
Location: Bengaluru, India (On-site, 5 days a week)
Experience Level: 2–5 years
Compensation: ₹8 – ₹16 LPA
Tech Stack: Python, TypeScript, OpenAI/Anthropic APIs, Hugging Face, Vector DBs
Employment Type: Full-time, In-office
About Supaboard.ai
Supaboard.ai is building an intelligent data analytics platform powered by modern AI systems, enabling teams to transform their raw data into dashboards, insights, and automations—instantly.
We combine analytics, automation, and AI into a single powerful engine used by fast-growing teams.
We’re looking for an AI Engineer who loves working with models, fine-tuning, LLM orchestration, and building AI-driven features that scale.
Key Responsibilities
- Fine-tune open-source LLMs (e.g., Llama, Mistral, T5, Qwen) for internal use cases like text classification, summarization, extraction, and agent workflows.
- Develop, test, and optimize prompt engineering strategies for production use-cases.
- Build and maintain pipelines for training, evaluating, and deploying custom AI models.
- Integrate models with Supaboard’s backend using Python, TypeScript, and cloud-based AI platforms.
- Work with libraries like Hugging Face Transformers, LangChain, OpenAI, Gemini, Anthropic, and vector databases (Pinecone/Weaviate).
- Create high-accuracy evaluation datasets and design automated evaluation harnesses.
- Optimize performance, latency, and reliability of AI-powered features in production.
- Collaborate with product, engineering, and data teams to design and implement AI-driven product features.
Requirements
- Strong proficiency in Python (must) and basic experience with TypeScript (preferred).
- Solid understanding of LLMs, embeddings, tokenization, model architectures, and NLP pipelines.
- Prior experience fine-tuning or training open-source models using PyTorch, Hugging Face, or similar frameworks.
- Experience calling and orchestrating external LLM APIs (OpenAI, Anthropic, Google Gemini, etc.).
- Ability to design prompts, tune them, and create deterministic and reliable chains/flows.
- Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and retrieval pipelines.
- Familiarity with cloud environments (AWS/GCP) and deploying AI workloads.
- Good understanding of evaluation metrics and experiment tracking (W&B or similar).
- Strong debugging skills and an ownership-driven mindset.
Nice to Have
- Experience building agents, tool-calling workflows, and multi-model pipelines.
- Knowledge of distributed training, quantization (GGUF/GGML), or optimization techniques (LoRA, QLoRA, PEFT).
- Experience building AI-based features for data analytics or SaaS products.
- Familiarity with FastAPI or Node-based backend services.
Why Supaboard.ai?
- Build a core part of India’s next-gen AI analytics platform.
- Work with cutting-edge open-source AI models and real-world production workloads.
- Massive ownership, high impact, and a fast-paced startup environment.
- A culture that rewards learning, curiosity, and technical growth.
Job Summary
As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base
- Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
- Work with teams of smart collaborators. Be responsible for their appraisals and career development.
- Participate and lead executive presentations with client leadership stakeholders.
- Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
- See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.
Role & Responsibilities
- Serve as expert in Data Science, build framework to develop Production level DS/AI models.
- Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
- Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
- Lead and manage the onsite-offshore relation, at the same time adding value to the client.
- Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
- Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
- Present results, insights, and recommendations to senior management with an emphasis on the business impact.
- Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
- Lead or contribute to org level initiatives to build the Tredence of tomorrow.
Qualification & Experience
- Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
- 6-10+ years of experience in data science, building hands-on ML models
- Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
- Knowledge of programming languages SQL, Python/ R, Spark.
- Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
- Experience with cloud computing services (AWS, GCP or Azure)
- Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
- Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
- Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
- Knowledge in GPU code optimization, Spark MLlib Optimization.
- Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
- Experience with ML CI/CD pipelines.
As a Marketing Associate, you will lead and manage the day to day operations of the
marketing team at Cuddles Foundation with a vision to enlist new supporters for the mission and grow
existing relationships. You will report to the Marketing & Communications Lead.
Responsibilities:
→ You’ll manage the annual and monthly marketing calendar and scheduling of tasks
→ You’ll manage our campaigns and grow our engagement and reach strategically
through email, search and social media, taking full ownership of organisational
marketing goals.
→ You’ll work closely with the social media team to plan the content calendar and
promotional strategy.
→ You’ll work closely with the digital team to update the blog and other dynamic
website content.
→ You’ll liaise with the creative team for campaigns and collaterals needed for
fundraising campaigns, events and programmes.
→ You’ll write communication briefs that are backed with content, research and insights
for the creative team to execute.
→ You’ll manage incoming media requests.
→ You’ll represent the organisation and team at industry events, fundraisers and press
conferences.
Must Haves :
→ You have a bachelor’s or a master’s degree in communication or advertising or digital
marketing.
→ You have 3-4 years prior experience working in a marketing or communications role,
preferably in the e-commerce or digital space.
→ You have superior written and verbal communication skills.
→ You have proven success in executing digital marketing and communications
strategies and campaigns for consumer brands.
→ You’re up to date on consumer insights and trends.
→ You’re capable of working well as part of a team as well as independently.
→ You’re tech-savvy and have worked with applications like Mailchimp, Canva and
Zoho.
→ You’re open to traveling and commuting to field sites when needed.
Skills :
You see the bigger picture.
You can think analytically and strategically. You're able to break a large project into bite-size
pieces while always keeping your eye on the big picture. You think two steps ahead and can
see how complex initiatives come together for maximum impact.
You get things done.
You’re a great multitasker and capable of simultaneously managing multiple projects with
different deadlines. You follow through on every job, no matter how big or small. You live for
hitting deadlines and understand the importance of keeping on schedule. You love to identify
people’s strengths and build processes to make things run more smoothly.
You’re a stickler for organising things.
You have remarkable attention to the smallest details. You have an excellent project
management skills and the ability to meet deadlines.
You're a communication ace.
You keep everyone in the know so that the job gets done efficiently and effectively. You
know when to ask for help, when to listen, and when to speak up. And you're known for your
professional candour.
You have a team ethos.
You thrive in a creative, inventive, fast-paced start-up environment. You're excited to work
cross-functionally with other departments and enjoy bringing people together to achieve a
goal. People enjoy working with you because they know they can trust you.
Location : Mumbai/ Remote
Open to remote/hybrid working modes. You may need to come into the office for meetings
or training
Designation: React.js Developer (Frontend)
Department: Software Engineering Team
Location: Bangalore
Qualification: Any Computer (Graduate or Post Graduate)
Experience: 5+ years of relevant experience in developing and implementing user interface components using React.js concepts and workflows (Redux, Flux, and Webpack).
Responsibilities:
- Developing and implementing highly-responsive user interface components using React concepts.
- Developing and implementing front-end architecture to support user interface concepts.
- Building reusable components and front-end libraries for future use
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers
- Monitoring and improving front-end performance.
- Prepare technical documentation
- Collaborate with UX/UI designers to implement design into the code
- Coach junior team members
- Implement software enhancements and suggest improvements
Skills Required:
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Experience with popular React.js workflows (such as Flux or Redux)
- Preferred to have experience in Javascript, CSS, HTML, and Photoshop (any wireframing tool)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Familiarity with React Native, NodeJS is a plus
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Good communication skills. Ability to understand business requirements and translate them into technical requirements
- Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance.
- Enjoys coding and problem solving
- Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
Salary: Upto 18LPA (Negotiable)
IMMEDIATE JOINING PREFERRED!
Design and development of algorithmic trading systems using C# and .Net APIs
GUI design and development in C#, WPF in MVC Framework
Research low latency development techniques and implement in platform and strategies
Develop execution and analytical libraries and build infrastructure for it
Actively participate in design and code reviews
Minimum Four years of experience.
Good for you to have –
Excellent knowledge of architectural/design patterns, data structures and algorithms
Expertise on performance tuning and optimizations.
You will definitely possess these technical skills –
Core skill set (must) : Core Java, Multi-threading, GC, J2EE technologies, REST
Core skill set (must) : RDBMS, Data Modeling, DB tuning
Working Knowledge (must): Server side implementation for highly concurrent and responsive systems.









