Senior Software Engineer (Data Engineer & ML)

Heinsohn; Brasil; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

Join a forward-thinking company as a Senior Talent Acquisition Specialist, focusing on innovative IT recruitment across LATAM and Europe. This role offers a unique opportunity to work remotely, engaging with passionate professionals in a collaborative environment. You'll leverage your expertise in data engineering and machine learning to drive strategic talent acquisition efforts. With a commitment to excellence and continuous improvement, you will play a pivotal role in shaping the future of IT recruitment. If you are an HR innovator with a knack for identifying top talent in the tech industry, this is the perfect opportunity to make a significant impact.

Serviços

Remote work flexibility

Opportunities for professional growth

Collaborative work environment

Challenging projects across industries

Qualificações

• Minimum of 6 years experience in data engineering and ML.
• Proficiency in SQL, Python, and big data processing systems.

Responsabilidades

• Design and implement distributed data processing systems.
• Lead research in machine learning and data analytics.

Conhecimentos

SQL

NoSQL databases

Kafka

Airflow

Apache Spark

Python

AWS

MLOps frameworks

Machine Learning

Data Engineering

Formação académica

Bachelor's degree in Computer Science

Ferramentas

PostgreSQL

MongoDB

ElasticSearch

Redis

Druid

Apache Flink

Apache Beam

Descrição da oferta de emprego

4 days ago Be among the first 25 applicants

Direct message the job poster from Heinsohn

Senior Talent Acquisition Specialist | Strategic IT Recruiter | HR Psychologist | HR Innovator | IT Talent Enthusiast | North America & Latam

Location: LATAM and Europe

Engagement Type: Remote only, full-time dedication (40 hours/week)

Hours: Required 8 hours overlap with EST (Eastern Standard Time)

Total years of experience: Minimum of 6 years

Heinsohn is a leading technology company dedicated to providing innovative solutions across various industries. Our talented professionals thrive in a collaborative and dynamic work environment, fostering creativity and growth. We are committed to excellence and continuous improvement in everything we do.

We are seeking a highly skilled Senior/Principal Software Engineer to join our team, where you'll play a pivotal role in designing and implementing real-time distributed data processing systems that analyze public data and detect emerging threats. As a key contributor, you will focus on research and development in areas such as information extraction, multilingual NLP, automated summarization, graph network analysis, computer vision, and Large Language Models (LLMs).

Key Responsibilities:

• Design and implement distributed data processing systems for real-time analysis of public data and threat detection.
• Lead research and development in machine learning, NLP, computer vision, and data analytics.
• Oversee the gathering and annotating of custom datasets for tasks like classification, unsupervised pre-training, and tagging.
• Lead the optimization of ETL processes for various data formats from social media, news, and web sources.
• Develop and manage the database architecture for real-time streaming analytics, focusing on performance and scalability.
• Drive automation, continuous integration, deployment, and performance optimization efforts while ensuring strict security compliance.
• Design, implement, and optimize robust REST APIs and ensure data correctness through test suites and instrumentation.
• Lead development initiatives, manage feature rollouts, and make strategic decisions on project trade-offs (e.g., cost vs. performance).
• Apply machine learning performance evaluation techniques to identify and address system limitations.

Required Qualifications:

• Bachelor's degree in Computer Science or related field.
• 5+ years of experience in data engineering and building data platforms.
• 2+ years of experience in Machine Learning or a closely related field.
• Proven track record of deploying cloud-based products and optimizing processing pipelines for streaming analytics.
• Proficiency with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, ElasticSearch, Redis, Druid).
• Expertise in Kafka, Airflow, and big data processing systems (e.g., Apache Spark, Flink, Beam).
• Strong Python coding skills and experience with build automation, CI/CD tools.
• Strong project management skills with the ability to lead teams and deliver complex projects.
• Fluency in written and spoken English.

Skills:

• SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, ElasticSearch, Redis, Druid).
• Expertise in Kafka, Airflow, and big data processing systems (e.g., Apache Spark, Flink, Beam).
• Strong Python coding skills and experience with build automation, CI/CD tools.
• Experience with AWS and cloud services.
• Familiarity with MLOps frameworks like Kubeflow, MLFlow.
• Experience with generative models and AI/ML deployments.
• Published research or contributions to open-source machine learning projects.
• Track record of success in online competitions like Kaggle.

About Role:

• 70% on data engineering side, 30% on the ML engineering side
• Client said someone who has more of an ML background vs a Data engineering background probably wouldn't like this role
• Work with a passionate and innovative team.
• Opportunities for professional growth and skill development.
• Engage in challenging projects across various industries.
• Join a collaborative and inclusive work environment.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting, Software Development, and IT System Custom Software Development