THE COMPANY

CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are

shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week.

2,200+

Customers

10 of Top 12

CPG Companies

900+

Retailers Connected

$200M+

Raised

Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners,

and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.

Technical Expertise:

Strong background in machine learning, deep learning, and NLP, with proven experience in training and fine-tuning large-scale

models (LLMs, transformers, diffusion models, etc.).

Hands-on expertise with Parameter-Efficient Fine-Tuning (PEFT) approaches such as LoRA, prefix tuning, adapters, and

quantization-aware training.

Proficiency in PyTorch, TensorFlow, Hugging Face ecosystem and good to have distributed training frameworks (e.g., DeepSpeed,

PyTorch Lightning, Ray).

Basic understanding of MLOps best practices, including experiment tracking, model versioning, CI/CD for ML pipelines, and

deployment in production environments.

Experience working with large datasets, feature engineering, and data pipelines, leveraging tools such as Spark, Databricks, or

cloud-native ML services (AWS Sagemaker, GCP Vertex AI or Azure ML).

Knowledge of GPU/TPU optimization, mixed precision training, and scaling ML workloads on cloud or HPC environments.

Applied Problem-Solving:

Mandatory skill - Demonstrated success in adapting foundation models to domain-specific applications through fine-tuning or

transfer learning.

Mandatory skill - Strong ability to design, evaluate, and improve models using robust validation strategies, bias/fairness

checks, and performance optimization techniques.

Experience in working on applied AI problems across NLP, computer vision, or multimodal systems or any other domain.

Leadership & Collaboration:

(Preferred) Proven ability to lead and mentor a junior applied scientists and ML engineers, providing technical guidance and

fostering innovation.

Strong cross-functional collaboration skills to work with product, engineering, and business stakeholders to deliver impactful

AI solutions.

Ability to translate cutting-edge research into practical, scalable solutions that meet real-world business needs.

Education & Experience:

3+ years of hands-on experience in applied machine learning and data science with Master’s or Ph.D. in Computer Science,

Machine Learning, Data Science, Statistics, or a related field or appropriate experience.

Excellent communication and presentation skills to articulate complex ML concepts to both technical and non-technical

audiences.

Continuous learner with awareness of emerging trends in generative AI, foundation models, and efficient ML techniques.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion,

color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category

prohibited by applicable law.

Roll

Data Scientist II

Kategori

Other

Plats

Bengaluru, Karnataka, India

Publicerad

23 juli

Sista ansökningsdag

22 augusti

Källa

Arbetsgivarens hemsida

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