
With 14+ years of expertise in e-commerce, our client provides AI-powered solutions for quick scale-up of brands and equips them to serve a global audience efficiently. From Texas to India, it operates from 6 different locations and processes 5 million orders annually and are amongst the top 25 sellers on Amazon and Walmart.com.
Founded by entrepreneurs with rich international experience, this leading online store of USA works with over 2000 brands which include many known brands in the US and covers almost all major categories like beauty and healthcare, electronics and gadgets, furniture, toys and apparel and others.
It has won several accolades including Inc 5000, fastest-growing companies, two years in a row.
What you will do:
- Managing inputs, category profit & loss, promotion management, auditing and analysis, vendor escalations, and concise communications
- Growing selection, improving terms and cost structures, and building long-term relationships with vendors for the sub-categories assigned
- Demonstrating customer and category knowledge, being an advocate for a quality customer experience, and understanding the competition and industry
- Being responsible for long term growth opportunities and risk identification, planning, communicating, and partnering with internal teams
- Demonstrating a deep understanding of Online retail tools and becoming advocates for tool enhancements
- Attracting talent and making the right hiring decision, setting goals, and resource planning for the team
- Visiting trade shows in the US and other countries as per process requirements
- Creating mechanisms to help on-board new talent to the organization by continuously building a network of talent inside and outside of the company
- Effectively coaching and giving feedback to direct reports to help develop talent and supporting career development
- Setting and balancing goals across the team to optimize performance against department goals and employee development
Desired Candidate Profile
What you need to have:- 10+ years of experience doing one of several roles: quantitative/financial analysis, retail buying, retail planning & allocation, product/project management, pricing, marketing, or e- commerce
- Strong understanding of category, product, and vendor performance
- Proficiency in Excel
- Proven analytical skills
- Proven negotiation skills
- Proven experience leading teams & cross-functional projects
- Influencing abilities and vendor management experience
- Ability to think and react in a high-energy, fast-paced environment
- Ability to operate simultaneously and effectively in both tactical and strategic modes
- A willingness to roll up sleeves to get things done
- Ability to work autonomously in a demanding and often ambiguous environment, with strong attention to detail and effective prioritization
- Preferably a valid US Visa

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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
Data Engineer – Validation & Quality
Responsibilities
- Build rule-based and statistical validation frameworks using Pandas / NumPy.
- Implement contradiction detection, reconciliation, and anomaly flagging.
- Design and compute confidence metrics for each evidence record.
- Automate schema compliance, sampling, and checksum verification across data sources.
- Collaborate with the Kernel to embed validation results into every output artifact.
Requirements
- 5 + years in data engineering, data quality, or MLOps validation.
- Strong SQL optimization and ETL background.
- Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).
Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
At AppLaunchpad, we empower app developers, startups, and businesses to showcase their apps through high-quality mockups, templates, and creative assets. We are expanding our tech team and looking for a skilled Web Developer who can help us scale our platform, improve user experience, and bring fresh ideas to life.
Key Responsibilities
- Design, develop, and maintain AppLaunchpad’s website and related tools
- Build user-friendly, responsive web pages with strong attention to detail
- Collaborate with designers and product managers to create seamless UI/UX
- Implement performance optimizations to ensure fast and reliable user experiences
- Manage integrations with third-party APIs and payment systems
- Ensure security, scalability, and SEO best practices are followed
Requirements
- Proven experience as a Web Developer or Full-Stack Developer
- Strong skills in HTML, CSS, JavaScript (ES6+), React or Vue.js
- Experience with backend frameworks (Node.js / Django / PHP)
- Familiarity with databases (MySQL, MongoDB, PostgreSQL)
- Knowledge of Git/GitHub workflows
- Understanding of SEO, performance optimization, and mobile-first development
Nice-to-Have
- Experience with design/creative platforms or SaaS
- Familiarity with cloud hosting (AWS, Vercel, Netlify)
- Previous work on e-commerce or subscription platforms
What We Offer
- Competitive salary and growth opportunities
- Work with a creative, fast-moving startup team
- Flexible working hours and remote-first culture
- Opportunity to shape the future of app marketing tools
1) Understand client requirements and functionalities.
2) Write well-designed, testable, efficient code.
3) Responsible for solving complex technical issues.
4) Ensure quality projects are delivered within defined timelines.
5) Active involvement in client communication to understand functional requirements.
6) Maintain high standards of quality for code, documentation and other deliverables.
Required Skills
1) Good experience in Angular Latest Versions
Software Developer
Roles and Responsibilities
- Apply knowledge set to fetch data from multiple online sources, cleanse it and build APIs on top of it
- Develop a deep understanding of our vast data sources on the web and know exactly how, when, and which data to scrap, parse and store
- We're looking for people who will naturally take ownership of data products and who can bring a project all the way from a fast prototype to production.
Desired Candidate Profile
- At Least 1-2 years of experience
- Strong coding experience in Python (knowledge of Javascripts is a plus)
- Strong knowledge of scraping frameworks in Python (Request, Beautiful Soup)
- Experience with SQL and NoSQL databases
- Knowledge in Version Control tools like GIT.
- Good understanding and hands-on with scheduling and managing tasks with cron.
Nice to have:
- Experience of having worked with elastic search
- Experience with multi-processing, multi-threading, and AWS/Azure is a plus
- Experience with web crawling is a plus
- Deploy server/related components to staging, live environments.
- Experience with cloud environments like AWS,etc as well as cloud solutions like Docker,Lambda, etc
- Experience in DevOps and related practices to improve development lifecycle, continuous delivery with high quality is an advantage.
- Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
7+ years of experience with Design, development & architecture.
- Experience in software development with minimum 3 plus years of architecture experience.
- Experience in Core JAVA 8
- Experience in Java J2EE, Microservices
- Experience in Java - Spring, Java - SpringBoot, GCP , Hibernate,JDBC
- Experience in Multi-threading, Performance and Scaling is a plus
- Have used the RDBMS and NoSQL databases like MySQL/Oracle, MongoDB, Cassandra, Neo4J Risk for production ready software’s
- Cloud Native application design experience is a plus
- CICD – Release Pipeline experience
- Experience in application of principles of Architecture Design
- Experience building large scale, high performance distributed systems
- Strong understanding of modern development techniques and processes such as Dev Ops /Cloud
- Promoter of Agile/Scrum, TDD and CI/CD best practices
- Analyzes, designs, programs, debugs and modifies software enhancements and/or new products used in local, networked or Internet-related computer programs. (Code must be used in core version of applications available for sale commercially.)
- Interacts with Delivery managers and/or users to define system requirements and/or necessary modifications.
- Participates in software design meetings and analyzes user needs to determine technical requirements.
- Write technical specifications based on conceptual design and stated business requirements.
- Writes code, completes programming and performs testing and debugging of applications using current programming languages and technologies.
- Completes documentation and procedures for installation and maintenance.
- Trains and communicates with internal Client Training, Client Relationship and Sales teams on systems application.
- May be responsible for developing or executing project plans, budgets and schedules and for documenting work and results.
- May deliver informational and decision-seeking presentations to technical and business groups to internal and/or external audiences.
Reports to - Regional Head
Primary Objective - Creating detailed business plans to reach predetermined goals and quotas, Managing the entire sales cycle from finding a potential client to securing a deal, Unearthing new
sales opportunities through networking and turning them into long-term partnerships
Specific Accountabilities/Responsibilities - Must have worked into International / India Market into SAAS Environment
Create detailed business plans designed to attain predetermined goals and quotas
Manage the entire sales cycle from finding a client to securing a deal & Acquire new customers
by winning them over from competitors and discovering new opportunities
Unearth new sales opportunities through networking and turn them into long-term partnerships
Present products to prospective clients
Provide professional after-sales support to maximize customer loyalty
Remain in regular contact with your clients to understand and meet their needs
Respond to complaints and resolve issues to the customer’s satisfaction and to maintain the
company’s reputation
Negotiate agreements and keep records of sales and data
Proven experience as an Account Executive, or similar sales/customer service role
Knowledge of market research, sales and negotiating principles
Outstanding knowledge of MS Office; knowledge of CRM software (eg. Salesforce) is a plus
Excellent communication/presentation skills and ability to build relationships
Organizational and time-management skills
Enthusiastic and passionate










