SDET – Mobile Automation (Appium + Java)

🚀 Frontend Developer

Location: Remote

Type: Full-time

Experience: 5+ years (Intermediate to Senior Level)

We’re looking for a Frontend Developer who can own the entire frontend stack from frontend project architecture and performance optimization to design and UX polish.

About the Role

You’ll be the go-to person for everything frontend - designing and developing user-facing features, setting up UI architecture, and ensuring every interaction feels seamless.

You’ll work closely with the founders and backend engineers to shape the product experience from the ground up.

If you’re someone who thrives in startup environments, loves creative freedom, and enjoys wearing multiple hats (developer + designer + product thinker), this role is for you.

What You’ll Do

• Build and maintain high-performance web applications using ReactJS and NextJS
• Design clean, scalable frontend architecture and reusable components
• Take full ownership of UI/UX - from rough ideas to production-ready interfaces
• Implement stunning, responsive UIs with Tailwind CSS
• Handle state management (Jotai, Zustand, or your preferred modern library)
• Collaborate directly with backend and product teams to deliver delightful user experiences
• Optimize for performance, accessibility, and SEO
• Help shape the frontend culture, tech stack, and coding standards

What We’re Looking For

• 5+ years of professional frontend development experience
• Expert in ReactJS and NextJS
• Familiarity with VueJS and NuxtJS
• Strong experience with Tailwind CSS and component-driven design
• Strong understanding of UI/UX - you can design as well as build
• Ability to rapidly prototype and design mockups
• Experience with Figma or something similar for frontend prototyping
• Experience with TypeScript, Git, and modern dev tools
• Product mindset: you care about usability, not just code
• Startup-ready: self-driven, resourceful, and comfortable with fast iteration

Bonus Points

• Contributions to design systems or open-source frontend tools
• Familiarity with other frontend frameworks like Svelte/SvelteKit and VueJS/NuxtJS
• Knowledge of frontend performance optimization and SEO best practices

Why You’ll Love Working With Us

• 💡 Real Ownership: You’ll shape the entire frontend - architecture, tools, and design direction
• ⚡ Startup Energy: Small team, big impact - your work directly shapes the product and user experience
• 🕓 Flexible Hours & Remote Work: We care about output, not clock-ins
• ❤️ Creative Freedom: We value ideas, experimentation, and craftsmanship

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
• Design, build reliable and scalable automated processes for large scale machine learning.
• Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. 
• Collaborate with Business, Technology and Product teams to stand-up MLOps process.
• Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
• Deep dive into complex algorithmic and product issues in production
• Own metrics and reporting for delivery team. 
• Set a clear vision for the team members and working cohesively to attain it.
• Mentor and coach team members

Qualifications and Skills:

Requirements

• Engineering degree in any stream
• Has at least 7 years of prior experience in building ML driven products/solutions
• Excellent programming skills in any one of the language C++ or Python or Java.
• Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
• Developed and productized large-scale models/algorithms in prior experience
• Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
• Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
• Good verbal, written and presentation skills.
• Ability to learn new skills and technologies.
• 3+ years working with retail or CPG preferred.
• Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

Job description

• Design and implement social media strategy to align with business goals
• Creating and executing a strong performance marketing strategy & execution plan mainly for Insta, Facebook & YouTube & other platforms.
• Managing day-to-day social media- Postings & Content Plan
• Managing monthly, weekly, and quarterly social media calendars & plan accordingly.

• Research and identify new business opportunities - including new markets, growth areas, trends, customers, partnerships, products, and services - or new ways of reaching existing markets.

Required Candidate profile

• Proven ability to develop brand strategies
• Experience in identifying target audiences and devising effective campaigns
• Excellent understanding of the branding
• LinkedIn Proficiency and in-depth knowledge of Instagram, LinkedIn, and Facebook Analytics
• Excellent English oral and written communication skills
• Creative mind

Location : Andheri East

Experience : 1-3 years

Notice Period : Immediate - 15 days

Responsibilities : 

1. Integrate the design into high-quality code. 

2. Ensure the performance, quality, and responsiveness of the application. 

3. Identify and correct bottlenecks and fix bugs. 

4. Work along-side other developers working on different platforms for the Application.

Therefore, a commitment to collaborative problem solving, design implementation, and creating quality products is essential.

Skills Required : 

1. Minimum 1 year of experience in iOS Application Development.

2. Proficient with iOS SDK, Swift, and Cocoa Touch. 

3. Understanding of Apple's design principles and interface guidelines. 

4. Must have already deployed at least one app on AppStore. 

5. Working knowledge of Web Services & REST (JSON) APIs, SQLite, Google API Integration, Firebase. 

6. Familiarity with cloud message APIs and push notifications. 

7. Experience with third-party libraries and APIs. 

8. Strong mobile UI design and implementation experience. 

9. Understanding of code versioning tools.