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About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Python Developer - AI/MLYour Responsibilities

• Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
• Utilize Hugging Face Transformers for model fine-tuning and deployment.
• Integrate embedding models for semantic search and retrieval systems.
• Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
• Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
• Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
• Implement real-time communication with FastAPI WebSockets.
• Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
• Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
• Version ML experiments using MLflow, Weights & Biases, or Neptune.
• Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
• Implement model monitoring, drift detection, and automated retraining pipelines.
• Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
• Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
• Participate in code reviews, tech talks, and AI learning sessions.
• Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
• Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience with Hugging Face Transformers and model fine-tuning.
• Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
• Strong experience with FastAPI frameworks.
• Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
• Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
• Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
• Hands-on with Docker, Kubernetes basics, and AWS cloud services.
• Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
• Understanding of security principles for AI systems.
• Excellent communication and analytical thinking.

Nice to Have

• Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
• Experience with model serving frameworks and distributed training.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of quantization and model compression techniques.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with data versioning tools (DVC) and AutoML.
• Experience with Streamlit or Gradio for ML demos.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain/LangGraph open-source projects.

 Role Purpose:

The Site Quality is a critical leadership role within the Construction Department, responsible for establishing, implementing, and rigorously managing a comprehensive Quality Assurance (QA) and Quality Control (QC) program across all disciplines of data center campus construction projects. This encompasses civil, structural, architectural (CSA), mechanical, electrical, plumbing, fire fighting (MEPF), Extra Low Voltage (ELV), and IT/Network infrastructure. The primary purpose is to ensure that all construction activities adhere to the highest industry standards, approved design specifications, regulatory requirements, and the stringent quality benchmarks imperative for mission-critical data center reliability and operational excellence.

Education :

Bachelor's Degree in Civil, Mechanical, & Electrical Engineering

Add. Qualifications :

Lead Auditor certification for ISO 9001:2015

Quality-related certifications (e.g., Six Sigma Green/Black Belt, ASQ Certified Quality Engineer)

Overall Experience:

15- 20 years of progressive experience in Quality Assurance and Quality Control management roles within the construction industry and should have sound knowledge of IS codes and its implementations

Key Responsibilities:

• Quality Management System (QMS) Development & Implementation:
• Develop, customize, implement, and maintain the Project Quality Plan (PQP) tailored for each data center campus project, in alignment with the company's overarching QMS (e.g., ISO 9001 principles).
• Create detailed Inspection and Test Plans (ITPs), quality checklists, and standard operating procedures (SOPs) for all major construction activities across all disciplines (CSA, Electrical, Mechanical, FFP, ELV, IT/Network).

• On-Site Quality Control & Inspection:
• Oversee and conduct regular, systematic quality inspections and surveillance activities at the construction site for all disciplines.
• Witness critical tests (e.g., concrete strength tests, rebar inspections, welding inspections, pressure testing of piping, duct leakage tests, insulation resistance tests, functional performance tests of equipment).
• Ensure all work executed by contractors and sub-contractors complies with approved drawings, specifications, method statements, and quality standards.
• Non-Conformance Management:
• Establish and effectively manage the Non-Conformance Report (NCR) process, ensuring timely identification, documentation, issuance, and closure of all quality deviations.
• Lead root cause analysis for significant NCRs and implement robust corrective and preventive actions to avoid recurrence.
• Documentation & Record Keeping:
• Manage and control all quality-related project documentation, including ITPs, QA/QC checklists, inspection reports, test certificates, material approval requests (MARs), submittal reviews, and as-built quality records.
• Ensure all documentation is properly recorded, reviewed, approved, distributed, and archived as per project requirements.
• Material Quality Management:
• Develop and implement procedures for quality control of incoming construction materials, ensuring they meet specified requirements through inspection, sampling, and testing.
• Oversee the approval process for material submittals (MARs) in coordination with the design team.
• Contractor Quality Performance Management:
• Review and approve contractors' project-specific Quality Plans, ITPs, and Method Statements.
• Regularly evaluate contractors' quality performance, identify weaknesses, and implement improvement initiatives.
• Conduct periodic quality performance reviews with contractors and provide necessary guidance.
• Audits & Compliance:
• Plan and conduct internal quality audits to assess compliance with the PQP, QMS, and project-specific requirements.
• Facilitate external audits by clients, regulatory bodies, or certification agencies.
• Ensure adherence to all relevant Indian and international construction codes, standards (e.g., BIS, ASTM, ACI, NFPA, ASHRAE, TIA-942, Uptime Institute), and environmental regulations.
• Training & Awareness:
• Provide quality awareness training and specific QA/QC process training to internal site teams and contractor personnel.
• Foster a culture of quality and continuous improvement across the project site.
• Inter-Departmental Coordination & Reporting:
• Work closely with the Design Department to ensure design intent is clearly understood and translated into construction quality.
• Collaborate with Construction Executives (Civil, Electrical, Mechanical, ELV/BMS), Project Managers, and the Commissioning Team to ensure quality requirements are integrated throughout the project lifecycle, from construction to final handover.
• Prepare and present comprehensive quality performance reports to the Manager - Campus Construction and senior management, highlighting key metrics, trends, and improvement areas.
• Continuous Improvement:
• Drive lessons learned initiatives from quality non-conformances to enhance future project quality and efficiency.
• Research and propose new quality tools, technologies, or methodologies relevant to data center construction.

Job Description:

We are seeking a talented UI/UX Designer to join our team. The successful candidate will be responsible for designing and delivering outstanding user experiences, and ensuring that our digital products are user-friendly, intuitive, and visually appealing. This position requires a high level of creativity, attention to detail, and a deep understanding of the latest design trends and best practices. The ideal candidate will have at least 3 years of experience in a similar role, and a strong portfolio demonstrating their design skills and experience.

Roles and Responsibilities:

• Collaborate with product managers, developers, and other stakeholders to understand business requirements, user needs, and design goals.

• Conduct user research, create user personas, and develop user journeys to inform the design process.

• Create wireframes, prototypes, and high-fidelity designs that effectively communicate design concepts and solutions.

• Design user interfaces that are intuitive, visually appealing, and meet accessibility standards.

• Create design guidelines and standards that can be applied consistently across multiple products.

• Work closely with development teams to ensure that designs are implemented accurately and to a high standard.

• Continuously iterate on designs based on user feedback, data analysis, and industry trends.

• Stay up-to-date with the latest design trends and technologies.

Requirements:

• Bachelor's degree in Graphic Design, User Experience, or a related field.

• At least 3 years of experience in a similar role, designing for web and mobile applications.

• Good portfolio demonstrating your design skills, process, and experience.

• Proficiency in design tools such as Sketch, Figma, Adobe Creative Suite, Axure, Balasmiq, or similar.

• Excellent communication skills and ability to work collaboratively in a team environment.

• Strong problem-solving skills, and ability to prioritize and manage multiple projects simultaneously.

• Understanding of design principles and best practices, including responsive design and accessibility standards.

• Familiarity with front-end development technologies such as HTML, CSS, and JavaScript is a plus.

We offer competitive salaries, a collaborative work environment, and opportunities for growth and development. If you are passionate about creating exceptional user experiences and meet the requirements above, we encourage you to apply!

We build a cloud-based business platform where manufacturers & traders can network with each other and discover trusted buyers and suppliers on the network. Our team consists of generalist engineers who work on building modern websites (SPA & Isomorphic), mobile apps for Android & iOS, REST APIs and servers, internal tools, and infrastructure for all our users.

What do I need?

Graduation/Post-Graduation in any stream (Mandatory Pedegree)

2-5 years experience in Product Management in any company Strong in data analysis with hands on experience in MS Excel and SQL

Strong problem solving skills and willingness to roll up one's sleeves to get the job Skilled at working effectively with cross functional teams in a matrix organization

Willingness to learn and read about new technologies

Product Management, Product Strategy, Analytical Skills, Data Analytics, SQL, MS-Excel, Microsoft Excel, Innovation and Product innovation What will I be doing?

Take ownership of key company metrics assigned to him/her such as Retention, Activation, Growth Regularly interact with customers, customer success team and industry experts to come up with ideas to drive their metrics

Be very proficient in studying and analysing the usage and product data to understand customer behaviour

Work closely with the technology team to ensure their ideas are quickly tested in production environment with frequent iterations Ensure successful ideas get implemented in the product in a scalable and optimized manner

Assesses market competition by comparing the company's product to competitors' products

Work closely with the Growth Team to understand the type of customers we are targeting and their needs and If required, PM can help the growth team in fine tuning the target market and buyer profiles

Work closely with the Customer Success Team to ensure customer delight and success

Identify growth hacks to exponentially increase product usage and adoption by delivering more value to customers

2-3 years in core product 
Pedegree is must (IIT, IIM)
B2C
Fintech
Journey from Product Analyst to product manger
Bussiness side growth

Key Job Responsibilities:

• You will proactively engage with both the senior stakeholders and co-founder to understand their business goals and help them to build an effective sales plan
• Develop and execute sales strategies and identify target sectors, responsible for agency sales and business development activities PAN India
• The role would be dynamic in nature and would include finding prospective clients, designing pitches, strategizing, planning, meeting prospects and closing deals independently
• Ability to put together large complex proposals that speaks to the client’s needs, concerns, and objectives
• Expert in creating sophisticated sales model/pipeline and running them for profitable business venture
• Should have experience with selling digital services like Website & Application Development and Design, Branding, Packaging & Publication Design and Digital Marketing end-to-end
• Analyze & prepare annual sales budgets, responsible for generating revenue collection, establish strategic plans to achieve maximum profits, and expand customer base through extensive marketing
• Ability to analyze and implement marketing strategies and develop sales initiatives
• Drive strategies to increase product & service awareness by observing the market, competitors, and industry trends as well as projections for the future
• Prospect for potential new clients, acquiring and maintaining healthy relationship with them
• Negotiating with stakeholders
• Must have prior experience in handling large & multiple accounts
• Cold call as appropriate within your market or geographic area to ensure a robust pipeline of opportunities
• Identify opportunities for campaigns, services, and distribution channels that will lead to an increase in sales
• Submit weekly progress reports and ensure data is accurately entered

Forecast sales targets and ensure they are met by the team

• AWS Cloud, CICD, Serverless setups, Monitoring Setup
• Performance setup, scalability in hands experience, Linux expertise, DevOps Operations

• AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

Job Summary
. Developing the latest user-facing features using React.js
· Designing a modern highly responsive web-based user interface
· Building reusable components and front-end libraries for future use
· Translating designs and wireframes into high-quality code
· Learn and understand user interactions
· Optimizing components for maximum performance across a vast array of web-capable devices and browsers
· Coordinating with various teams working on distinct layers
· As a React.js Developer, you will be involved from conception to completion with projects that are technologically sound and aesthetically impressive.

Technical skills:
· Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
· Thorough understanding of React.js and its core principles
· Ability to create a reusable stateful component using React hooks
· Prior experience with popular React.js workflows (such as Flux or Redux)
· Familiarity with more current specifications of EcmaScript
· Prior experience with data structure libraries (e.g., Immutable.js)
· Knowledge of isomorphic React is a plus
· Familiarity with RESTful APIs
· Familiarity with HTML / CSS
· GIT experience is a plus
· Knowledge of modern authorization mechanisms, such as JSON Web Token
· Familiarity with modern front-end build pipelines and tools
· Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
· Familiarity with working with the siren-JSON schema for generating forms.
· Familiarity with react-hook-form
· Ability to understand business requirements and translate them into technical requirements
· A knack for benchmarking and optimization
· Familiarity with code versioning tools
· jest and enzyme for red-green tdd
· understanding of feature flag
· lint and husky hooks