| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Chainalysis | Tel Aviv, Israel | $90k - $150k | |||
Sherlock | Remote | $100k - $250k | |||
Coin Market Cap Ltd | Hong Kong, Hong Kong | $105k - $147k | |||
Web 3 Ventures | Remote |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Token Metrics | MedellĂn | $104k - $106k | |||
Boolean Labs | Remote | $150k - $200k | |||
Blockchains | Remote | $54k - $60k | |||
Aldrin | Remote | $90k - $100k |
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers.
We are building the data platform for blockchain, cryptocurrency, and web3. Our engineers deeply understand what is possible with cloud-native technologies and use those insights to enable our customers to push the boundaries of the cryptocurrency landscape.
Our Alterya team is focused on AI-powered fintech and threat intelligence, empowering institutions to protect individuals from fraud transactions. As a Data Analyst & Prompt Engineer, you will be responsible for designing and optimizing prompts for LLM models to efficiently extract the data the team needs.
We are looking for someone who constantly asks questions to uncover deeper insights and better answers. You should be relentlessly focused on improving existing methods, challenging the status quo, and proactively seeking the best solutions for identified problems.
The role will be based in Tel Aviv, and we are looking for eager, enthusiastic, curious, hard working and positive people to be part of our amazing journey.
In this job, you'll:
Build LMM prompts and data flows
Research the web to find and define types of scams and scammers
Analyze and monitor our data pipelines using SQL
Work with Big Data Databases
Research customer and team requirements, analyze fraudulent and scam activity online, and create data-driven solutions to detect scammers effectively
We’re looking for candidates who have:
2+ years’ experience as a data analyst
Excellent analytical skills
Strong SQL skills with experience in querying large, complex data sets
Experience with Python data functions
Fluent English (written & verbal)
Good interpersonal communication skills
Quick grasp of new data and data systems
Technologies we use:
Python
SQL
Blockchains
About Chainalysis
Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
You belong here.Â
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.Â
What is prompt engineering?
Prompt engineering in AI refers to the process of creating and designing effective prompts or inputs for AI language models to generate human-like responses
Prompt engineering is an important technique for improving the quality and relevance of AI-generated outputs, particularly in natural language processing (NLP) tasks such as language translation, text summarization, and question-answering
Prompt engineers in AI are responsible for designing and implementing prompt systems that can generate high-quality outputs
They use a range of techniques such as machine learning, natural language processing, and data analysis to develop and improve prompts that are contextually relevant and effective
Prompt engineers work closely with other AI experts such as machine learning engineers, data scientists, and NLP specialists to ensure that the prompt systems are optimized for accuracy and efficiency
In addition to designing prompts, prompt engineers in AI also analyze and evaluate the performance of prompt systems, using metrics such as accuracy, fluency, and relevance
They use this information to refine and improve the prompt systems over time, ensuring that the AI-generated outputs remain accurate, relevant, and useful for end-users.