UI/UX Designer

Notice Period - 0-15 days Max

Apply only who are currently in Karnataka

F2F interview

Interview - 4 rounds

Job Title: AI Specialist

Company Overview: We are the Technology Center of Excellence for Long Arc Capital

which provides growth capital to businesses with a sustainable competitive advantage and 

a strong management team with whom we can partner to build a category leader. We focus 

on North American and European companies where technology is transforming traditional 

business models in the Financial Services, Business Services, Technology, Media and 

Telecommunications sectors.

As part of our mission to leverage AI for business innovation, we are establishing AI COE to 

develop Generative AI (GenAI) and Agentic AI solutions that enhance decision-making, 

automation, and user experiences.

Job Overview: We are seeking dynamic and talented individuals to join our AI COE. This 

team will focus on developing advanced AI models, integrating them into our cloud-based 

platform, and delivering impactful solutions that drive efficiency, innovation, and customer 

value.

Key Responsibilities:

• As a Full Stack AI Engineer, research, design, and develop AI solutions for text, 

image, audio, and video generation

• Build and deploy Agentic AI systems for autonomous decision-making across 

business outcomes and enhancing associate productivity. 

• Work with domain experts to design and fine-tune AI solutions tailored to portfoliospecific challenges.

• Partner with data engineers across portfolio companies to –

o Preprocess large datasets and ensure high-quality input for training AI 

models.

o Develop scalable and efficient AI pipelines using frameworks like 

TensorFlow, PyTorch, and Hugging Face.

• Implement MLOps best practices for AI model deployment, versioning, and 

monitoring using tools like MLflow and Kubernetes.

• Ensure AI solutions adhere to ethical standards, comply with regulations (e.g., 

GDPR, CCPA), and mitigate biases.

• Design intuitive and user-friendly interfaces for AI-driven applications, collaborating 

with UX designers and frontend developers.

Internal Use Only

• Stay up to date with the latest AI research and tools and evaluate their applicability 

to our business needs.

Key Qualifications:

Technical Expertise:

• Proficiency in full stack application development (specifically using Angular, React).

• Expertise in backend technologies (Django, Flask) and cloud platforms (AWS 

SageMaker/Azure AI Studio).

• Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).

• Proficiency with Large Language Models (LLMs) and generative AI tools (e.g., OpenAI 

APIs, LangChain, Stable Diffusion).

• Solid understanding of data engineering workflows, including ETL processes and 

distributed computing tools (Apache Spark, Kafka).

• Experience with data pipelines, big data processing, and database management 

(SQL, NoSQL).

• Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable 

AI deployment.

• Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).

• Good understanding of AI ethics, bias mitigation, and compliance standards.

• Excellent problem-solving abilities and innovative thinking.

• Strong collaboration and communication skills, with the ability to work in crossfunctional teams.

• Proven ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Advanced studies in Artificial Intelligence, or a related field.

• Experience with reinforcement learning, multi-agent systems, or autonomous 

decision-making

We’re an early-stage AI SaaS startup looking for a hands-on LinkedIn Marketing Specialist to drive growth and lead generation. This is an execution-focused role — you will work directly with the founder and a designer, owning ideas from strategy through implementation.

What You’ll Do

• Execute LinkedIn-first GTM initiatives (organic + outbound)
• Generate qualified leads via content, outreach, and positioning
• Create high-engagement posts, carousels, and campaign ideas
• Manage founder/company LinkedIn presence
• Run targeted outreach and follow-ups
• Track performance and iterate quickly

What We’re Looking For

• Proven hands-on LinkedIn marketing experience (B2B/SaaS preferred)
• Strong understanding of outbound and GTM fundamentals
• Ability to drive results without relying mainly on paid ads
• Self-starter comfortable in a fast-moving startup
• Able to work independently with minimal supervision

Job Description

· Design technical specifications for RPA (Uipath) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.

· Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.

· Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.

· Complies with and helps to enforce design and coding standards, policies and procedures.

· Ensures documentation is well maintained.

· Ensures quality of coded components by performing thorough unit testing.

· Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.

· Reports status, issues and risks to tech leads on a regular basis

· Improves skills in automation products by completing automation certification.

· Mentors junior developers and performs code reviews for quality control.

Qualifications

Bachelor degree in Engineering / Computer Science

Additional Information

· 5- 8 years of IT experience and having good understanding of programming concepts. Should be from a programming background on any coding language (.Net, Java).

· Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.

· Understands development methodology and lifecycle

· Should be trained on RPA tools (Uipath).

· Self-motivated, team player, action and results oriented.

· Well organized, good communication and reporting skills.

Job title: BDM

Work Location: Chandigarh

Division/Department: Sales

Requirement Severity: Immediate

■ Full-time

Essential Duties and Responsibilities: 

Sale of hardware, data security and data backup solutions to corporates of Chandigarh

Job Description:

• It’s a client-facing role with proven experience in security or backup solution sales.
• Meet monthly/quarterly/yearly targets for customer meetings and sales targets.
• Identify and close deals in the SMB/Enterprise segment.
• Manage a healthy relationship with the OEMs.
• Must have a good understanding of IT Security solutions (Endpoint/Networking/Data Security, DLP, Backup, NGF, MDM, Helpdesk, Asset, etc.) or backup solutions (server backup, desktop/ laptop backup, replication)
• Sell data security and data backup solutions to corporate customers of Chandigarh from Chandigarh

Skill Requirements:

• Should have good communication skills.

Mandatory Requirement

• Up to 2 years’ experience of selling data security or data backup solutions to corporate customers of Chandigarh from Chandigarh.
• Own conveyance
• Ready for Cold Calls also (Both Phone calls & Direct Visit)

Education and Work Experience Requirements: 

• Up to 2 years’ experience of selling data security or data backup solutions to corporate customers of Chandigarh from Chandigarh.
• Must be able to work under pressure and meet deadlines while maintaining a positive attitude and providing exemplary customer service.
• Ability to work independently and to carry out assignments to completion within the parameters of instructions given.
• Should have done any course in IT.

Job Requirements: 

Minimum Experience: Up to 2 years

Working Days: 6 days Monday to Saturday (1st Saturday Work from Home, 3rd Saturday Off) 

Salary+ conveyance

Plus, more than 50% of the Quarterly Salary is used as an incentive to achieve the Quarterly target. 

Delivery Solutions is a Retail eCommerce OXM Platform that provides retailers with out-of-the-box solutions to power Same-Day Delivery, Curbside, In-Store Pickup, Shipping, and Post Purchase experiences. We are trusted with some of the biggest names in multiple verticals of retail like Sephora, AT&T, Footlocker, Michael's, Office Depot, GameStop, Total Wine, Sally Beauty, Abercrombie & Fitch Co. Belk, Loblaw, Vineyard Vines etc.

Our SAAS-based solution is highly flexible and interacts seamlessly with E-commerce properties, OMS, WMS, and POS systems for a highly scalable experience and a delighted customer base.

Delivery Solutions is a wholly-owned subsidiary of UPS | We are a certified Great Places To Work Company

Role: Senior Software Engineer - MEAN Stack

Reports to: Team Lead

Division/Department: Product

Work Location: India - Remote / Pune

We are seeking highly skilled and experienced Senior Software Engineers to join our SaaS company. As a Senior Software Engineer, you will play a pivotal role in the development and enhancement of our cutting-edge software products. You will work closely with cross-functional teams to design, develop, and deploy scalable software solutions using the MEAN stack (MongoDB, Express.js, Angular, Node.js) and related technologies.

Responsibilities:

• Collaborate with product managers, designers, and other stakeholders to define software requirements and translate them into technical specifications.
• Design and develop robust and scalable software solutions using the MEAN stack and other relevant technologies.
• Take ownership of feature development and deliver high-quality code on time.
• Participate in code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug software issues, and identify and implement effective solutions.
• Collaborate with DevOps teams to ensure smooth deployment and operation of software applications.
• Stay up-to-date with the latest industry trends, tools, and technologies and make recommendations for process improvements.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field. (Master's degree preferred)
• 4+ years of hands-on experience in MEAN stack development, including MongoDB, Express.js, Angular (version 2 or higher), and Node.js.
• Proven experience working in a product-based company, delivering software solutions to customers.
• Strong understanding of Agile methodologies and Agile development practices.
• Proficient in front-end technologies such as Angular, HTML, CSS, and responsive design principles.
• Solid understanding of back-end technologies including Node.js, RESTful APIs, and server-side frameworks.
• Experience with cloud platforms, specifically AWS, and familiarity with related services.
• Knowledge of JSON, Kibana, JIRA, and Jenkins is a plus.
• Strong problem-solving skills and the ability to work independently as well as in a team.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

If you are a self-motivated individual with a passion for delivering high-quality software and want to work with a team that values creativity and innovation, then we encourage you to apply for this exciting opportunity. Join our team and be part of a dynamic environment where your expertise will make a significant impact on our software products. 

• Please submit your resume along with any relevant project portfolios or GitHub repositories, for consideration.

Knowledge about Autocad, solid works, Revit, Staad pro,

and mechanical software,

Qualification: B.tech, Diploma

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Skills & Qualifications

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. PHP, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Knowledge of AWS Cloud (EC2,S3,Lambda,SES) 
• Familiarity with databases (e.g. MySQL, DynamoDB, MongoDB), web servers (e.g. Apache, Nginx, Tomcat) and UI/UX design
  Knowledge of code versioning tools (such as Git, SVN).
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, or relevant field

• Benefits
• Being part of a startup that’s turning out to be a game-changer, you will be blessed with:
• Freedom to try new things.
• 2 Saturday’s off.
• Dress code – Casual.
• Take-it-when-you-need-it vacation.
• No. of working days:- 05

• 8+ years of experience in Product Development especially in Healthcare Domain
• Technical project managers are tasked with managing projects with top-down oversight from inception to completion
• They must also develop project plans that meet client needs
• Decent Communication Skills and quick in understanding the tasks
• Coordinate with technical team members at all stages of the project