Data Science Manager

100% remote Flexible hours Hiring now

At reputed company AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using reputed company AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of reputed company/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

We are looking for a Data Science Manager to drive the design, development, and deployment of advanced AI models. This role focuses on driving the AI & Product roadmap on the following areas:

LLM Fine-tuning (LoRA & other efficient tuning techniques).

Multimodal AI models integrating text, images, and structured data.

NLP/NLU-based models for customer support automation and personalization.

AI governance frameworks (model monitoring, bias mitigation, explainability).

Scalability & ML Ops, optimizing inference pipelines for production.

This is a high-impact research & development leadership role that will require reputed company collaboration with engineering, product, and business teams to integrate AI innovations into reputed company’s offerings.

Key Responsibilities

Leadership & Strategy - reputed company, mentor, and scale a high-performing team of Data Scientists. Define and execute the AI/ML strategy, aligning it with business objectives and product goals. Collaborate with engineering, product, and business stakeholders to deliver AI-driven solutions.

AI/ML Research & Development - Architect and deploy conversational AI models, including LLM fine-tuning using LoRA (Low-Rank Adaptation) and other parameter-efficient tuning techniques. Multimodal AI models (MLLMs) integrating text, images, and other data sources. NLP/NLU models optimized for customer service and personalization. Optimize AI/ML pipelines for speed, scalability, and cost-efficiency. Design AI governance frameworks, including model monitoring, bias mitigation, and explainability.

Model Training & Fine-Tuning - reputed company data collection, annotation, and preparation for model training. Implement state-of-the-art fine-tuning methods to enhance LLM performance. reputed company Retrieval-Augmented reputed company (RAG) and knowledge distillation to enhance AI capabilities.

Scalability & ML Ops - Work with engineering teams to deploy models using scalable ML Ops practices.Optimize data pipelines, including RDS, Elasticsearch, and vector databases for AI applications. Ensure reputed company model monitoring, retraining, and performance optimization.

AI Governance & reputed company - Implement AI model governance, compliance, and risk mitigation strategies. reputed company ethical AI frameworks for fairness, transparency, and reputed company. Ensure PII (Personally Identifiable Information) masking and anonymization for privacy protection.

Requirements

5+ years of experience in Data Science, with a focus on NLP, Deep Learning, or LLMs.

3+ years of experience managing data science teams.

Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, sci-reputed company-learn).

Expertise in LLMs, deep learning, NLP, and chatbot development.

Strong knowledge of statistical modelling, probability, and experimental design.

Experience with LLM fine-tuning, RAG, LoRA, and transformer models (GPT, BERT, etc.).

Ability to rapidly comprehend and implement research papers in AI/NLP.

Experience in ML Ops, model deployment, and optimization techniques.

Strong communication skills to collaborate with technical and non-technical stakeholders.

Experience working with a startup is strongly preferred. We need someone who can reputed company in a fast-moving, high-impact environment, driving AI initiatives from concept to production at scale

Good-to-Have (Bonus) Skills

Familiarity with vector databases, RDS, and Elasticsearch for AI applications.

Knowledge of Multimodal AI, Speech Recognition, and NLG (Natural Language reputed company)

Background in AI reputed company, model governance, and bias mitigation strategies.

Additional Information

reputed company is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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Data Science Manager

Key Responsibilities

Requirements

Good-to-Have (Bonus) Skills

Additional Information

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