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Locaweb


São Paulo - SP, Brasil

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Bling | Data Scientist (AI Specialist) | Remote

Remote

(Anywhere)

Salary Range

Not informed

Full Time Employee

Experience Level

Senior

Requirements

6+ years of experience in the career
Python
LLMS
GenAI
SQL
Bigdata
ETL/ELT

Tasks and Responsibilities

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With a sense of ownership and collaboration, we join forces to remove barriers and drive

business. We don't just offer digital solutions; we build the ecosystem that

drives entrepreneurship in Brazil.

"It's always been this way" doesn't define us: we question, learn, and evolve with every

challenge, turning mistakes into innovation. And to do this, we form a team that plays together,

because we understand that the success of the whole is greater than any individual interest.

Our mission is to simplify the day-to-day for entrepreneurs, and we do this with

honesty in relationships and a focus on what truly matters.

If you seek consistent results that leave a legacy and believe that technology

only makes sense when it guarantees customer success, your place is with us!

🔍 About the area:

🚀 What you will transform (Challenge):

In the LWSA ecosystem, you lead change. Your goal will be to simplify the

customer journey and ensure that our solutions become increasingly fluid,

directly impacting thousands of businesses that depend on our technology to

grow.

What makes our eyes shine:

We seek people who live our essence and share our purpose:

we transform businesses to grow and prosper through technology.

If you put the customer at the center, have a collaborative spirit and focus on what matters,

always questioning, learning, and evolving, you already have what we need. We value

those who roll up their sleeves and take responsibility!

Are you a Data Science Specialist with deep expertise and a passion for unlocking the maximum potential of data? Bling, a leader in ERP for micro and small businesses, is seeking a Specialist-level talent to boost our Data Science team! If you are a master of Machine Learning models (including neural networks, statistical and mathematical approaches), dominate ML pipelines, Exploratory Data Analysis (EDA), Feature Engineering, and have a strategic eye for the new frontiers of GenAI, LLMs, and Agents, this is your opportunity to make a difference.

In this position, you will be a technical pillar, acting at the forefront of innovation and contributing directly to the development of robust and scalable solutions. If you are a specialist seeking a challenging environment to apply your knowledge and generate real impact, come build the future of Bling with us!

Day-to-day Responsibilities:

  • Design, develop, and implement advanced Machine Learning models, including neural networks, statistical and mathematical models, to solve complex business problems, from conception to production.
  • Conduct in-depth Exploratory Data Analysis (EDA) to identify patterns, trends, anomalies, and actionable insights that guide strategic decision-making.
  • Develop and apply advanced Feature Engineering techniques to optimize model performance.
  • Actively explore and apply the latest innovations in Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), and Agents to create cutting-edge and differentiated solutions.
  • Build, optimize, and manage end-to-end Machine Learning pipelines, ensuring automation, scalability, and robustness.
  • Monitor and optimize the performance of models implemented in production environments, ensuring their robustness, efficiency, and explainability.
  • Research and propose the adoption of new technologies, tools, and methodologies in Data Science and AI, acting as a technical reference and evangelist.
  • Collaborate closely with multidisciplinary teams (Engineering, Product, Business) to identify opportunities, translate complex requirements into innovative technical solutions, and ensure value delivery.

What we are looking for:

  • Completed higher education in Computer Science, Physics, Mathematics, Statistics, or related fields.
  • Proven experience at a Specialist level in building and implementing Machine Learning models, including neural networks, statistical and mathematical models.
  • Knowledge and practical experience with GenAI, LLMs, and Agents.
  • Mastery in building and managing Machine Learning pipelines.
  • Expertise in Exploratory Data Analysis (EDA) and Feature Engineering.
  • Mastery of programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.
  • Ability to solve complex problems analytically, creatively, and innovatively, with a results-oriented approach.
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate at different levels of the organization.
  • Proactivity, keen curiosity, and a passion for continuous learning and the frontiers of knowledge in AI.

Differentials:

  • Solid knowledge in Data Engineering, including pipeline design, ETL/ELT, and database optimization.
  • Practical experience with AWS services for developing and deploying AI solutions (e.g., S3, EC2, SageMaker, Lambda, Redshift, Glue).
  • Experience with Big Data tools (e.g., Spark, Hadoop, Kafka).
  • Knowledge of MLOps and tools for automating the lifecycle of AI models in production.
  • Portfolio of relevant projects in Data Science, especially with advanced applications of GenAI and LLMs.
  • Publications, articles, or significant contributions to the Data Science/AI community.

🍃 Benefits for your journey:

For your day-to-day

  • Childcare Assistance
  • iFood Benefits Meal Voucher
  • Transportation Voucher

Health and Well-being

  • SulAmérica Medical Assistance
  • SulAmérica Dental Assistance
  • MetLife Life Insurance
  • Wellhub (Formerly Gympass)

Advantages and Partnerships

  • SESC Credential
  • Day Off in your birthday month
  • Onhappy (Subscription for discounts on accommodations and tickets)
  • Flockr Pet Health Plan
  • Profit Sharing Program (PPR)

💡Why is this role for you?

Here you have space to build your own trajectory and grow alongside one of the

largest technology ecosystems in the country.

You will be part of an environment that values candid debates, encourages innovation, and

offers the opportunity to generate real and lasting impact in the digital market.

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