AI/ML Engineer
2 days ago
Who We Are
: Osmos, a B2B SaaS company founded by ex-Amazon ad-tech experts, is revolutionizing retail media with an AI-powered operating system that increases retailer profitability (by up to 7% of sales) and delivers superior ROAS for brands. By enabling Tier 1 retailers and marketplaces worldwide to activate more brands and leverage advanced targeting, we help them secure a lasting competitive edge.
Your Impact:
At Osmos, we're shaping the future of AI-driven ad tech solutions. We are looking for an
AI/ML Engineer
to join our Performance Team and work on building cutting-edge AI models that enhance campaign performance and content understanding across diverse platforms. Your contributions will directly impact billions of ad served, driving innovation in classification, optimization, personalization and ad relevancy.
- Opportunity to work on high-impact, real-world problems in the ad tech industry.
- Collaborative and innovative work environment with room for professional growth.
- Be part of a fast-growing AI team shaping the future of Retail Ad-Tech.
What You'll Do:
- Run ML experiments
to validate hypotheses, measure impact, and inform product decisions. - Build advanced ML algorithms
for text, image, and video classification, clustering & summarization. - Develop and deploy ML models
that optimize marketing & ad campaign performance using user behavior and audience signals. - Scale supervised & semi-supervised learning systems
to handle billions of data points and thousands of ad categories. - Collaborate with engineering teams
to productionize ML models with high scalability, reliability, and low latency. - Work with cutting-edge foundation models
(GPT, LLaMA, Stable Diffusion) and fine-tune them for domain-specific tasks. - Experiment with prompt engineering
, few-shot / zero-shot, RAG, and Chain-of-Thought techniques to boost model quality. - Continuously monitor, evaluate, and improve model performance
across accuracy, speed, and efficiency. - Work with large datasets
stored in BigQuery, GCS, and vector databases (e.g., Redis).
You'll Thrive If You Have:
- A solid grounding in
Computer Science fundamentals. - B.Tech/BE or Masters in AI/ML Computer Science streams
- 0.5–3 years of hands-on ML experience
building and deploying real-world models. - Strong proficiency in
Python
and frameworks like
PyTorch, TensorFlow, scikit-learn, CatBoost,
etc as well as
SQL. - Experience working with large-scale datasets, data pipelines, and distributed systems (Spark, Beam, BigQuery, or similar).
- Hands-on experience with
LLMs, text generation, embeddings, and retrieval-augmented generation (RAG). - Knowledge of
prompt engineering,
RAG pipelines, and few-shot/zero-shot techniques. - Experience deploying models into production using
Docker, CI/CD,
or cloud ML platforms (GCP/Vertex AI preferred). - Ability to think analytically, experiment rapidly, and translate ambiguous problems into clear ML solutions.
- Knowledge of best practices in software engineering and programming.
- Strong communication skills to collaborate with cross-functional teams and present findings to stakeholders.
Why Choose Osmos?
- Startup Energy, Enterprise Scale:
Fast-paced innovation with global ambition - Revolutionize Retail Marketing:
Be at the forefront of AI-powered solutions - Meaningful Contribution:
Directly impacts major brands' success - No Red Tape:
Autonomy and empowerment to drive results - Growth & Fun:
Continuous learning in a vibrant, collaborative culture - Competitive Rewards:
We value your expertise and offer strong compensation
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