ML Engineer
Tel Aviv
Sisense
Convert data into revenue by embedding AI-powered analytics with pro-code, low-code, and no-code capabilities.Join Sisense and be part of a leading force in the analytics industry. Our developer-first approach in embedded analytics offers a distinctive and stimulating environment for technology professionals.
Position Overview: ML Engineer
We are on the hunt for an exceptional ML Engineer with specialized expertise in NLP/LLMs to join our innovative team. The ideal candidate will have a profound background in data analysis, machine learning, and statistical modeling. Your role will involve leveraging your deep understanding of LLMs and software engineering to enhance our analytics capabilities. As a senior figure in our data science team, you'll be pivotal in evolving our analytics solutions, and steering complex projects.
Responsibilities:
- Develop and deploy machine learning models from inception to production.
- Collaborate with data scientists, product managers, and software engineers to integrate AI capabilities into our products.
- Perform statistical analysis and fine-tuning using test results to improve models.
- Maintain and improve existing machine learning systems, ensuring robustness and scalability.
- Keep abreast of developments in the field to ensure the company remains at the cutting edge of technology.
- Communicate complex solutions clearly to non-technical stakeholders.
- Identify opportunities for process improvement and automation.
- Contribute to the development and implementation of best practices in ML engineering.
Qualifications:
- Master’s or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Physics).
- Proven experience as a Machine Learning Engineer or similar role
- 3+ years of experience in NLP/LLMs
- Proficiency in programming languages such as Python and JAVA
- Strong knowledge of machine learning algorithms and statistical modeling techniques.
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Experience with big data technologies (e.g., Spark, Hadoop)
- Understanding of data structures, data modeling, and software architecture.
Preferred Skills:
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
- familiarity with frameworks and languages like React, TypeScript, Angular or Vue
About Sisense:
Sisense stands as a beacon of light in the embedded analytics landscape, recognized globally for pioneering solutions that infuse intelligence into every facet of business. As we continue on our journey and explore the vast opportunities of the API economy, we're positioning ourselves for unprecedented growth.
Our vision is bold and transformative: a future where analytics and insights underpin every decision, every process, and every interaction. Our team, an amalgamation of diverse perspectives and unique skills, is our secret weapon. At Sisense, we foster a culture of innovation, collaboration, and inclusivity, powering our relentless drive to redefine what's possible in the world of analytics.
Join us in this ambitious journey. This position offers more than a job; it's a chance to reshape the industry, redefine the future of analytics, and be a part of a team that's pushing boundaries. Let's shape the future of analytics together.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Angular APIs Architecture AWS Azure Big Data Computer Science Data analysis Deep Learning Engineering GCP Hadoop Java LLMs Machine Learning Mathematics ML models NLP NumPy Pandas Physics Python PyTorch React Spark Statistical modeling Statistics TensorFlow TypeScript Vue
Perks/benefits: Career development
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