Business Development Associate (BDA) Intern

Internship (3Months)

Full-Time Opportunity

• Eligibility: MBA, BBA, B.com

• Compensation: Fixed Salary + Performance-Based Incentives

Key Responsibilities

1. Identify and connect with potential B2B clients through LinkedIn and other professional platforms.
2. Generate qualified leads for IT Services and Application Software solutions.
3. Understand client requirements and introduce suitable technology solutions.
4. Schedule meetings for the Business Development team.
5. Maintain lead and customer interaction records.
6. Utilize AI-powered productivity tools to improve prospecting and outreach.
7. Work independently while achieving assigned business development targets.

Preferred Skills

1. Excellent Communication Skills
2. Sales & Marketing Mindset
3. Business Development Interest
4. LinkedIn Lead Generation
5. Self-Motivated & Target-Oriented
6. Quick Learner with Interest in AI Tools 

Position Overview 

The AI Observability Engineer will be instrumental in implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems. 

Responsibilities 

• Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms 
• Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning 
• Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection 
• Deploy, maintain and monitor containerized ML workloads 
• Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows 
• Implement AI-driven data validation, schema and concept drift detection and metadata management. 
• Establish governance frameworks for AI systems, including bias detection, explainability, and auditability 
• Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention 
• Develop automated test suites for model performance, regression, edge cases and bias validation 
• Monitor model KPIs (accuracy, precision, recall, latency, calibration) 
• Ensure reproducability of experiments and production models 
• Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption 

Qualifications 

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field 
• 5+ years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering 
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure 
• Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn 

AI Engineering Data Specialist – CAD / EDA / Semiconductor Workflows

Full-time | On-site | Gurgaon, Noida, Bangalore | 5+ Years’

Experience

About SoftAge

SoftAge partners with AI research labs and product teams to build and train autonomous agents and foundation models across desktop, web, and engineering platforms. We convert real engineering workflows into structured training data used for next-generation AI systems.

We are looking for experienced engineers from mechanical, electromechanical, electronics, semiconductor, and EDA domains who want to contribute their domain expertise to AI development.

Role Overview

We are hiring engineers with experience in:

• Mechanical Design
• Industrial Design
• Electromechanical Systems
• PCB Design
• EDA and Semiconductor Workflows
• ASIC, FPGA, VLSI, Verification and Physical Design

The role involves performing engineering tasks, documenting workflows, reviewing AI-generated outputs, and helping create datasets and benchmarks for AI systems.

Key Responsibilities

• Execute engineering tasks using industry-standard CAD and EDA tools.
• Create and refine mechanical designs, assemblies, PCB layouts, and semiconductor workflows.
• Break down complex engineering tasks into structured workflows for AI training.
• Record design decisions, actions, and reasoning.
• Review AI-generated outputs and identify errors or failure cases.
• Build and validate datasets and benchmarks used in AI systems.
• Provide technical feedback and maintain process quality.

Required Qualifications

• B.Tech, M.Tech, or PhD in Mechanical Engineering, Industrial Design, Electrical Engineering, Electronics Engineering, VLSI, Microelectronics, or related disciplines.
• 5+ years of relevant industry experience.
• Strong technical documentation and problem-solving skills.
• Hands-on experience with one or more of the following tools:

CAD and Mechanical Design Tools

• SolidWorks
• Fusion 360
• CATIA
• Creo

PCB and Electronics Tools

• KiCad
• Altium
• Eagle

Semiconductor and EDA Tools

• Cadence
• Synopsys
• Siemens EDA
• Ansys
• Similar industry tools

Preferred Qualifications

• Experience with PCB-integrated enclosure design and electromechanical assemblies.
• Familiarity with DFM, thermal management, grounding, and mechanical-electrical integration.
• Experience in ASIC, FPGA, RTL, STA, DFT, UVM, Physical Design, Analog or Mixed-Signal flows.
• Python or scripting experience.
• Exposure to automation workflows.
• Familiarity with AI-assisted engineering tools or LLM-based systems.
• Previous experience in AI data creation or annotation.

Ideal Candidates

Engineers from:

• Semiconductor companies
• Product engineering teams
• Research labs
• High-growth start-ups

Individuals who combine strong technical expertise with structured reasoning and documentation skills.

Why Join SoftAge

• Work on AI systems used in engineering and design software.
• Contribute to the next generation of AI-powered engineering tools.
• Collaborate with AI researchers and engineering teams.
• Apply years of domain expertise to real-world AI development.

Selected candidates will be required to sign confidentiality and invention assignment agreements. Work quality and process adherence will be audited.

How to Apply

Interested candidates can apply using the form below:

Mandatory: 👉 https://forms.gle/pr77H91zVzNRWntu5

Company Cashflo

Salary: Upto 60LPA

ESOPs

Exp: 5-8Y

We are looking for someone who loves a challenge, is ambitious, super tenacious, and

persistent. S/he is a self-starter, thrives in a dynamic, small start-up environment, has a knack for

understanding customer needs, and loves to get sh*t done! If you check these boxes - we want

to talk to you!

Responsibilities:

Work closely with the Founder/CEO and to define and build the CashFlo platform

Identify customer problems, and latent needs & devise a product roadmap

Communicate and evangelize product output through low-fidelity designs

Collaborate with Sales and Customer Success to understand and eliminate obstacles to

adoption and usage

Work with Marketing to bring new features to life on various communication touchpoints

Collaborate with engineers and designers to arrive at detailed solutions to problems

Execute

Own the roadmap for one or more parts of the product

Work with engineering and design to plan launch scope

Together with engineering and design, break-down scope into launch iterations

Deliver product features as per timelines

Requirements:

Strong communication (written & verbal) and interpersonal skills

You should have worked at a startup or started your own company that shipped a product

An engineering / technical background that will allow you to reason about product

trade-offs and make good choices without significant input from engineers

At least 5 years of experience in a Product Management role

Attention to detail - great products are all about the details

Passion for getting the job done - A combination of grit, hustle and problem-solving skills

to deliver results on time

Prior exposure to the Fintech landscape and understanding of trends in financial services

 Strong experience in front-end design and development minimum 3+ Year to implement responsive, robust/secure, user-friendly/functional, network -sensitive web applications.  Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.  Experience with modern frameworks such as Nodejs, AngularJS Express  Experience in building API and WebSockets for client-server communication with security considerations.  Experience with server-side.  Experience with web services API integration (Rest, JSON, XML).  Ability to understand requirements and map to technical implementation.  Strong knowledge of best practices and modern web design trends is necessary.  Excel at rapid prototyping and at writing good code.  Experience with modern version control.  (GIT or BitBucket).  Experience with testing/debugging in multiple platforms.  Experience with HTML CSS frameworks such as bootstrap.  Understanding of general user experience and UI design principles.  Agile methodologies.  Self-motivated, thinking up and executing own ideas. 

Desired Candidate Profile Below are the qualifications and skills that are expedcte of a full-stack developer:

 Bachelor’s degree in computer science, engineering, or a related technical field  Excellent knowledge of front-end web programming languages, such as HTML, CSS, JavaScript, and AngularJS, with ability to render server-side and client-side content  A working knowledge of shopify app development with technologies, Node, Javascript, React, HTML, CSS3, AWS etc and MongoDB or relevant databases.  Familiarity with common programming design patterns and best practices  Experience with common web development tools and services, such as version control software, package managers, and CI/CD pipelines  Excellent written and verbal communication skills  Expert in JavaScript, DOM, CSS3 and HTML

• Work with development teams and product managers to ideate software solutions

• Develop and manage well-functioning databases and applications

• Write effective APIs

• Test software to ensure responsiveness and efficiency

• Troubleshoot, debug and upgrade software

• Create security and data protection settings

• Write technical documentation

• Proven experience in Software Development

• Experience developing web applications

• Knowledge and Understanding  of programming languages(e.g. Java, Python, C, C++) and Understanding JavaScript frameworks (e.g. React, Node.js)

• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) 

• Excellent communication and teamwork skills

• Great attention to detail

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred