Product Head

Description

Join Proximity Works, one of the world’s most ambitious AI technology companies, shaping the future of Sports, Media, and Entertainment. Since 2019, Proximity Works has created and scaled AI-driven products used by 697 million daily users, generating $73.5 billion in enterprise value for our partners. With headquarters in San Francisco and offices in Los Angeles, Dubai, Mumbai, and Bangalore, we partner with some of the biggest global brands to solve complex problems with cutting-edge AI.

We are looking for a Senior Data Scientist with deep expertise in large language models (LLMs), retrieval-augmented generation (RAG), and multimodal learning to shape the next generation of intelligent, scalable, and reliable search systems.

Role Summary

This is a hands-on applied science role at the frontier of AI. You will design, fine-tune, and optimize large-scale language and multimodal models, with a strong focus on retrieval and search. You will productionize retrieval-augmented pipelines, develop ranking and relevance techniques, and define robust evaluation frameworks. You will work closely with engineering and product teams to build systems that combine language, vision, and retrieval modalities — powering high-quality, real-world search and discovery experiences at scale.

What You’ll Do

• Design, fine-tune, and optimize LLMs for applied multimodal generation use cases.
• Build and productionize RAG pipelines that combine embedding-based search, metadata filtering, and LLM-driven re-ranking/summarization.
• Apply prompt engineering, RAG techniques, and model distillation to improve grounding, reduce hallucinations, and ensure output reliability.
• Define and implement evaluation metrics across semantic search (nDCG, Recall@K, MRR) and generation quality (grounding accuracy, hallucination rate).
• Optimize inference pipelines for latency-sensitive use cases with strategies like token budgeting, prompt compression, and sub-100ms response targets.
• Train and adapt models via transfer learning, LoRA/QLoRA, and checkpoint reloading, ensuring robust deployment in production environments.
• Collaborate with product and research teams to explore innovative multimodal integrations for user-facing applications.

What Success Looks Like

• Deployment of production-ready LLM + RAG pipelines powering global-scale search and discovery applications.
• Demonstrable improvements in grounding accuracy and hallucination reduction across deployed systems.
• Consistent delivery of sub-100ms inference latency for generation workloads.
• Adoption of rigorous evaluation metrics that drive continuous model improvement.
• Effective cross-functional collaboration with engineering, product, and research teams.

Requirements

What You’ll Need

• Strong background in NLP, machine learning, and multimodal AI.
• Proven hands-on experience in LLM fine-tuning, RAG, distillation, and evaluation of foundation models.
• Expertise in semantic search and retrieval pipelines (e.g., FAISS, Weaviate, Vespa, Pinecone).
• Demonstrated ability to deploy models at scale, including distributed inference setups.
• Solid understanding of evaluation frameworks for ranking, retrieval, and generation.
• Proficiency in Python, PyTorch/TensorFlow, and modern ML toolkits.
• Experience in multimodal AI (bridging text, vision, or speech with LLMs).
• Track record of shipping latency-sensitive AI products.
• Strong communication skills and the ability to collaborate with cross-functional global teams.

Success Traits

Builder’s mindset · High ownership · Analytical clarity · Collaborative spirit · Global mindset · Growth orientation

Benefits

Why Join Proximity Works

• Work directly on frontier AI problems with some of the world’s largest sports, media, and entertainment brands.
• Be part of a global-first, high-performance engineering culture.
• Competitive compensation aligned with global markets, with remote-first flexibility.
• Annual global off-sites with Proxonauts from San Francisco, Dubai, India, and beyond.
• High autonomy, direct accountability, and the opportunity to ship AI systems at scale.

The ideal candidate would be part of the initial Tech team to lead the technology development and transform the firm's vision into deliverables through technology applications. The candidate has upto 5 years of experience in application development and has a strong foothold in both backend and front-end development.

Roles and Responsibilities:
1. Writing python codes for various market data which includes maths and statistical models, fundamental analysis, and sentiment studies. Proficient in Python with a good understanding of various libraries such as Pandas, Numpy, SciPy.
2. Build and develop the efficient architecture of the product to improve the performance and computing speed, with a good understanding of the Django framework.
3. Deploy and maintain the product on a cloud server, handling asynchronous tasks. Good understanding of AWS, Azure, or other cloud infrastructure.
4. Manage data and database, a good understanding of PostgreSQL, MongoDB, or other databases.
5. Fluent in integrating systems using API's.
6. Understanding of front-end applications like Angular, React, Vuejs, and other java applications.
7. Lead, train, and guide the team of junior developers.
8. Understanding and application of Machine learning is a plus.

Benefits of working with us:

• More responsibilities and more opportunities
• The chance to exponentially grow in your career, as Inuvest grows
• Enhance your skill-sets and knowledge
• Opportunity to learn about how the capital market functions and its complexities.
• Feel empowered and change things - We value ideas and suggestions
• Work in an inclusive culture where transparency, creativity, accountability, and ownership are encouraged
• Work with futuristic technologies - AI/ML

Additional Perks:
1. Stock Options
2. Flexible work hours and work from home 

Job Description:

• To resolve the tickets raised as per the defined standards of time, cost, and quality for increased customer satisfaction.

Skills and Experience

• Good SQL & PLSQL knowledge.
• Good Unix basic commands knowledge.
• Good Unix scripting knowledge will be an advantage.
• ANSI SQL
• Unix - Others/
• Experience - Fresher

• Writing clean and efficient codes for iOS applications

• Supporting the entire application lifecycle from concept to design, testing, release and support

• Troubleshooting and bug fixes for applications, to ensure that codes are clean and secure

• Recommending changes and enhancements

• Staying up to date with new mobile technology trends, applications, and protocols

We are looking for a talented and competitive Inside Sales Representative that thrives in a quick sales cycle environment. An inside sales rep will play a fundamental role in achieving our ambitious customer acquisition and revenue growth objectives. You must be comfortable making calls per day, generating interest, qualifying prospects and closing sales.

Responsibilities

• Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails
• Understand customer needs and requirements
• Route qualified opportunities to the appropriate sales executives for further development and closure

Requirements:

• Comfortable working in Sales profile
• Build long-term trusting relationships with clients
• Stay up-to-date with new products and new pricing/payment plans
• Strong phone presence and experience dialling dozens of calls per day
• Excellent verbal and written communications skills
• Strong listening and presentation skills
• Ability to multi-task, prioritize, and manage time effectively