puestos de Cientista De Dados Junior en Brasil

Overview

We are seeking a fractional Data/AI Specialist to support our sales team on a per-hour/contract basis. This role will primarily serve as a Sales Engineer, providing technical expertise during sales calls and helping prospects understand the value of our data-driven solutions.

Key Responsibilities

• Join sales calls as the technical expert, answering customer questions and providing deep product and data/AI insights.
• Support the sales team in designing solutions that align with client needs.
• Deliver demos, proof-of-concepts, and presentations tailored to prospects.
• Collaborate with sales and product teams to ensure a smooth handoff of technical requirements.
• Advise on best practices and integration paths for customers exploring data/AI solutions.

Qualifications

• Strong background in Data/AI, personalization, or customer data platforms (CDPs).
• Hands-on experience with BlueShift is highly preferred.
• Previous experience in a Sales Engineer, Solutions Engineer, or Pre-Sales capacity.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Comfortable working fractionally on a per-hour, on-demand basis.

Why Join

• Work with a fast-moving team and contribute to closing high-impact opportunities.
• Chance to shape data/AI strategy in front of major clients.

Work Type: Full-Time

We’re partnering with a confidential, high-growth technology company in Silicon Valley that’s building AI-powered platforms. This team moves fast, cares about craftsmanship, and empowers engineers to own meaningful work for the long term.

This is a full-time, remote opportunity to join a global-first product team tackling complex problems with modern tech and a culture that values quality and speed.

What You’ll Do

• Design, build, and maintain features across the stack.
• Collaborate closely with product, design, and engineering peers to ship high-quality work.
• Write clean, well-tested, well-documented code.
• Contribute to architecture decisions, technical planning, and code reviews.
• Help shape team workflows, best practices, and developer experience.

What You Bring

• 5+ years of professional experience in software development as a Full Stack Developer.
• 2+ years of professional experience as an AI/ML Engineer.
• Proficiency with Python, React, Express, MongoDB, Node or equivalent.
• Strong understanding of APIs, performance, scalability, etc.
• Clear, proactive communication and comfort working on distributed, async teams.
• A product mindset and strong sense of ownership.
• Startup or high-growth team background
• Proficiency in English
• Passion for building scalable systems and great user experiences.

What You’ll Get

• Competitive compensation in USD.
• 100% remote with flexible hours.
• Long-term, product-focused work with clear ownership.
• A smart, collaborative, globally distributed team.

If you’re excited to work with a fast-moving team building the future of AI at scale — let’s connect.

Job Title: AI Engineer (Search Engine)

About the Company: Insight Global's Client

Type: 10 month extending contract

Compensation: Shared upon initial WhatsApp screening call

Location: Fully Remote

Working Hours: 10AM - 6PM BRT (9AM-5PM EST)

Interview Process: immediate interviews available - 2 rounds can close by end of next week.

Structure: CLT ONLY (This cannot change to PJ)

Priority Scheduling for candidates who:

• Are available for immediate interviews
• Need to meet Recruiter over video prior to sending application to client

Requirements

• Ability to work full-time hours on a contract basis (10AM - 6PM BRT)
• CLT ONLY (This cannot change to PJ)
• No health benefits provided in CLT benefits
• Needs to be able to start within 2-3 weeks
• Paid on a monthly basis, no overtime

Must-Haves

• 1+ years of experience as a Search Engineer or AI Engineer
• Search Technology Experience – OpenSearch, building scalable search systems
• 2+ years of Python development experience, including API creation, model training, testing, and general backend programming
• Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval.
• Strong communication skills – able to work independently while providing clear updates to the team

Nice to Have Skills

• Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
• Exposure to RAG architectures, specifically textual RAG use cases

Project Overview

We are hiring one AI/LLM Engineers (1 Mid-Level) to join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service. Your primary focus will be building and optimizing RAG models for search across large-scale medical and scientific documents, including pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate. You’ll work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases. The role involves hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout. While this is a heads-down, individual contributor role, strong communication and collaboration with the team are essential.

You can learn more about InComm Payments by visiting our Website or connecting with us on LinkedIn, YouTube, Twitter, Facebook, or Instagram.

About This Opportunity:

As a Fraud Business Analyst Intern, you will play a key role in strengthening our fraud defenses by supporting process audits, rule tuning, and data-driven investigations. This role focuses on validating the effectiveness of existing Robotic Process Automations (RPAs), Accertify rules, and anomaly detection signals. You will work closely with Fraud Technology, Decision Sciences, and Anomaly Detection teams to review logic, test controls, and recommend improvements.

This position is ideal for a detail-oriented individual with strong analytical skills and a passion for fraud prevention and operational risk reduction.

Why Join InComm?

• Paid Internship
• Real-world experience with a leading global company
• Mentorship, professional development, and networking opportunities
• Discover highlights from our internship program on Instagram — follow us @InCommInterns

Responsibilities:

• Assist in auditing and validating existing fraud rules configured in the Accertify platform
• Support quality assurance reviews of RPAs related to fraud monitoring and decision-making
• Collaborate with the Anomaly Detection team to analyze triggers and evaluate false positives/negatives
• Help design and test Splunk dashboards and data visualizations for fraud alerts and system monitoring
• Document and report gaps or inefficiencies in current detection logic or process automations
• Perform basic root cause analysis of anomalous behavior and support process remediation
• Participate in fraud case reviews, helping to translate operational observations into structured findings

Qualifications:

• Pursuing a degree in Business Analytics, Finance, Information Systems, Criminal Justice, or a related discipline within your penultimate or final year of study.
• Above average academic track record
• Strong attention to detail and a process-oriented mindset
• Exposure to data analysis tools (e.g., Excel, SQL, Python) and visualization platforms (e.g., Power BI, Splunk)
• Interest in fraud prevention, financial crimes, or enterprise automation
• Ability to communicate clearly and professionally, both in writing and verbally
• Proficiency with the English language
• Must be self-motivated, ability to prioritize effectively and not shy away to seek guidance when blocked
• Ability to work with large teams; Willing and capable of learning new tools and technologies

EEO Statement: InComm provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran’s status, age, disability status, genetics or any other category protected by federal, state, or local law.

Note: This document also includes additional project and role details about multiple positions and client engagements within Insight Global and InComm, including data engineering needs and healthcare-related data opportunities.