Python Software Engineer freelance jobs (remote only)

EPAM Anywhere is looking for freelance Python Software Engineers (remote only).

Competitive compensation

We back all payments and operate in compliance with country-specific labor regulations. Your annual paycheck can range from $15k to $200k.

Numerous benefits

Make use of 1,500+ online and location- specific benefits across ALL countries that also include healthcare and sports programs for you and your family.

Limitless career growth opportunities

Get access to a large-scale ecosystem that consists of educational and career development services created for your growth. A personal skill advisor will support you on each step of this journey. Enjoy!

lead site reliability engineer (golang)

Go Language

Microservice Architecture Pattern, Apache Kafka, Bash

40 hrs/week

12+ months

Brazil, Colombia,

and others

Brazil, Colombia, Mexico, Poland

We are seeking a remote Lead Site Reliability Engineer (SRE) with a strong proficiency in Golang to ensure high availability and reliability for our websites, cloud-based e-commerce, stores, distribution centers, and enterprise platforms.

In this role, you need to have a good understanding of Linux, networking, and distributed architectures. As a senior member, you'll work with management, peers, and customers to define and implement the technical vision and collaborate with machine learning (ML) engineers and software engineers to develop innovative tools using cutting-edge technologies.

responsibilities

Designing and developing scalable backends and interfaces
Building, scaling, and guarding systems to delight our customers
Collaborating with machine learning (ML) engineers and software engineers
Defining and implementing the technical vision
Ensuring high availability and reliability for our websites, cloud-based e-commerce, stores, distribution centers, and enterprise platforms

requirements

6+ years of production experience in software development (SRE is a plus)
1+ years of relevant leadership experience
Programming experience in Go (must have)
Experience in designing, investigating, analyzing, and troubleshooting large-scale enterprise systems Experience with IaaS and PaaS providers (AWS, Azure OpenStack)
Experience with enterprise monitoring solutions like AppDynamics, New Relic, and Splunk
Fluency with running services at scale
B2+ English level

nice to have

Familiarity with Jenkins, Maven, and Nexus
Proficiency in Microservice Architecture Pattern
Experience with Apache Kafka, Kubernetes
Knowledge of Bash, Java, Kotlin, and Python
Proficiency in observability and troubleshooting in distributed systems

lead big data engineer with databricks

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

Colombia

We are seeking a remote Lead Big Data Engineer with expertise in Databricks to help us build and maintain optimal on-prem and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using both batch & streaming methods.

The ideal candidate should have a strong background in AWS, Python, and Data Warehousing. The successful candidate must be able to lead a team of data engineers, organize teamwork, and solve technical and non-technical challenges. The candidate should have excellent communication and collaboration skills with the ability to work efficiently with cross-functional teams.

responsibilities

Develop and maintain optimal on-prem and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using both batch & streaming methods
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Lead and mentor a team of data engineers, organize teamwork, and solve technical and non-technical challenges
Participate in the design key software components of the data platform
Work with stakeholders, including the business analytics teams and IS architecture teams, to assist with data-related technical issues and support their data infrastructure needs

requirements

Bachelor's degree in Computer Science, Information Systems, or another applicable field is preferred
5+ years of experience in a Data Engineer role
1+ years of relevant leadership experience
Experience in building Data Management solutions on AWS preferred
Proven experience with Databricks
Advanced working knowledge of cloud-based data pipeline development
Strong proficiency in Python
Knowledge of Apache Airflow and Apache Spark
B2+ English level

nice to have

Knowledge of Data Warehousing and SQL
Working knowledge of message queuing, stream processing, and Change Data Capture mechanisms
Excellent problem-solving skills and attention to detail

senior data engineer (python, databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are seeking a talented remote Senior Data Engineer with strong experience in Data Software Engineering.

The ideal candidate will have Big Data technologies, primarily Spark, work with cross-functional teams to design, develop, and deploy high-performance data pipelines.

responsibilities

Design, develop and deploy high-performance data pipelines
Work with cross-functional teams to deliver complex projects
Develop, maintain and optimize ETL processes
Troubleshoot and optimize data pipeline processes
Create and maintain data models and databases

requirements

3+ years of software engineering experience
Good knowledge of Big Data technologies, primarily Spark
Experience with DSE Python, AWS, and Databricks
Familiarity with Python
Upper-Intermediate English level (B2+)

nice to have

Knowledge of Apache Spark and Apache Hive

senior big data developer

Data Software Engineering

Apache Spark, Amazon Web Services, Snowflake

40 hrs/week

12+ months

Colombia

We are looking for an experienced remote Senior Big Data Developer to join our team.

As an ideal candidate, you should have extensive knowledge of Data Software Engineering, Snowflake, AWS, Python, and Apache Spark. You will be responsible for developing PySpark ETL pipelines, configuring Kafka connectors, and building Jenkins pipelines.

responsibilities

Develop PySpark ETL pipelines and configure Kafka connectors
Build Jenkins pipelines for schedulers, CI/CD, etc.
Work with Kafka UI and other relevant tools such as Python 3.7, PySpark SQL, Jenkins, Artifactory, Sonar, and Atlassian tools
Collaborate with cross-functional teams to determine project requirements and deliverables
Troubleshoot and debug applications as needed

requirements

3+ years of relevant experience as a Big Data Developer or Data Engineer
Strong skills in Snowflake, AWS, and Spark
Knowledge of Python
Hands-on experience with Kubernetes/Docker and Jenkins pipeline
Knowledge of Kafka Connect Cluster and Atlassian tools (Bitbucket, Jira, Confluence)
Good English communication skills (B2+)

nice to have

Familiarity with PyCharm IDE

data platform support engineer

Data Software Engineering

Apache Spark, Databricks, SQL

40 hrs/week

12+ months

Greece

We are looking for a remote Data Platform Support Engineer to make the team even stronger.

As a Data Engineer in Data Platform, you will be supporting 1000+ stakeholders focusing on data transformation and pipeline orchestration technologies. By constantly challenging the status quo, you will ensure stakeholder teams to deliver high-performance data processing solutions that are efficient and remain reliable at scale.

responsibilities

Automation of support activities (e.g cluster creations, configuration changes)
Improving documentation to address user inquiries
Prioritizing customer queries and escalating serious technical issues to 2nd level
Operational Excellence:
Stakeholder support through chat and support tickets
Troubleshooting user issues related to Databricks (Spark) / Airflow and suggesting optimizations for long running or resource intensive jobs
Guiding users on best practices of Databricks and Airflow cluster management
Consult and help our diverse teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systems
Having documentation focus to improve user journey

requirements

3+ years of relevant experience
Basic understanding of distributed data processing frameworks like Apache Spark
Understanding of relational database management systems
Hands-on experience with Databricks
Hands-on experience with Apache Airflow/Amazon Managed Workflows for Apache Airflow
Hands-on experience with Python combined with SQL knowledge
Hands-on experience in cloud technologies (AWS services like S3, EC2, IAM, Cloudformation)
Hands-on experience in container/orchestration tools (Kubernetes, Docker, Podman)
Engineering craftsmanship with an experience in software development processes focusing on testing, continuous integration/continuous delivery (CI/CD), monitoring and writing documentation
Upper-intermediate or higher English level, both spoken and written (B2+)

nice to have

Knowledge on AWS Step Functions, Cloudwatch, Lambda

senior site reliability engineer (golang)

Go Language

Microservice Architecture Pattern, Apache Kafka, Bash

40 hrs/week

12+ months

Brazil, Colombia,

and others

Brazil, Colombia, Mexico, Poland

We are looking for a remote Senior Site Reliability Engineer with proficiency in the Go language to join our team.

In this position, you will be responsible for ensuring the high availability and reliability of our websites, cloud-based e-commerce, stores, distribution centers, and enterprise platforms.

responsibilities

Design and develop scalable backends and interfaces using modern technologies
Collaborate with team members to ensure high availability and reliability of the systems
Work with management, peers, and customers to define and implement the technical vision
Analyze and troubleshoot large-scale distributed systems
Build, scale, and guard systems to delight our customers

requirements

4+ years of experience in software development (SRE is a plus)
Strong proficiency in the Go language
Experience in Observability and troubleshooting in distributed systems
Experience in designing, investigating, analyzing, and troubleshooting large-scale enterprise systems
Fluency with running services at scale and in-depth understanding of Unix systems internals and networking
Experience administering Linux systems in a production environment
B2+ English level

nice to have

Knowledge of Microservice Architecture Pattern
Experience with Apache Kafka, Kubernetes,
Familiarity with Bash, Java, Python, Kotlin

lead machine learning engineer

Machine Learning Engineering

Amazon Web Services, Data wrangling, Machine Learning Model Development

40 hrs/week

12+ months

Greece

We are looking for a remote Lead Machine Learning Engineer who will design ML models with continuous training and build frameworks for data scientists.

Apply for the vacancy if you are highly competent in creating and deploying production applications and data pipelines.

responsibilities

Manage the transition of machine learning algorithms to the production environment and integration with the enterprise ecosystem
Design, maintain, and optimize the complete end-to-end machine learning life cycle
Design specifications, documentation and user guides
Contribute to the improvement of SDLC practices, establish and configure CI/CD/CT processes
Provide capabilities for early detection of various drifts (data, concept, schema, etc.)

requirements

5+ years of experience in enterprise software development
3+ years of background in Machine Learning
Qualifications in designing, building and deploying production applications and data pipelines
Competency in the development of highly available, largely scalable, ML-driven applications and systems
Hands-on expertise in the implementation of SDLC best practices
Knowledge of Python development
Familiarity with Cloud-native services (GCP, AWS, Azure) and Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)

nice to have

Expertise in MLOps-related platforms/technologies
Production experience in integrating ML models into complex data-driven systems/IoT devices/mobile devices
Competency in basic software engineering tools (CI/CD environments such as Jenkins or BuildKit, PyPI, Docker, Kubernetes)

senior data scientist

Data Science

Python, Data Visualization, Analysis

40 hrs/week

12+ months

Greece

We are seeking a highly skilled and innovative Generative AI Data Scientist to join our team remotely.

We are seeking a highly skilled and innovative Generative AI Data Scientist to join our team remotely . As a Generative AI Data Scientist, you will play a critical role in use case evaluation, architecture and development planning, developing and implementing state-of-the-art generative models to solve complex business problems. Your expertise in machine learning, deep learning, and statistical modelling will contribute to the advancement of EPAM. This is an exciting opportunity to apply cutting-edge techniques and push the boundaries of AI technology.

responsibilities

Research and Development: Conduct research and stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Explore and experiment with different generative models, architectures, and algorithms to enhance our capabilities
Model Development: Design, develop, and implement novel generative models tailored to specific use cases. Create and optimize deep neural networks, variational autoencoders (VAEs), generative adversarial networks (GANs), or other generative architectures to generate realistic and diverse synthetic data
Data Preprocessing: Work closely with data engineers and domain experts to preprocess and clean large-scale datasets. Apply statistical techniques and data augmentation methods to ensure high-quality input data for training generative models
Model Training and Evaluation: Train and fine-tune generative models using large-scale datasets, leveraging techniques such as transfer learning and unsupervised learning. Develop evaluation metrics and benchmarks to assess model performance and generate insights to guide model improvements
Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, insurance experts and experience designers, to integrate generative models into real-world applications. Provide technical guidance and support to ensure successful implementation and deployment of generative AI solutions
Innovation and Optimization: Continuously explore new techniques, frameworks, and tools to optimize and enhance the performance of generative models. Stay informed about emerging trends and best practices in the field and contribute to the advancement of the organization's data science capabilities
Documentation and Reporting: Prepare clear and concise technical documentation, including model architectures, methodologies, and experiment results. Present findings and insights to both technical and non-technical stakeholders, contributing to knowledge sharing and decision-making processes

requirements

Advanced degree (Ph.D. preferred) in Computer Science, Data Science, Statistics, or a related field
Proven experience in developing and implementing generative models, such as GANs, VAEs, or deep generative models
Strong proficiency in programming languages such as Python, with experience using deep learning frameworks such as TensorFlow or PyTorch
Solid understanding of machine learning, deep learning, and statistical modeling concepts
Experience working with large-scale datasets and preprocessing techniques
Proficiency in data visualization and exploratory analysis tools
Strong problem-solving skills and ability to think creatively to design innovative solutions
Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences
Proven ability to work collaboratively in a team environment and contribute to cross-functional projects
Strong research and self-learning abilities, with a passion for staying up-to-date with the latest advancements in generative AI and related fields

nice to have

Experience with natural language processing (NLP) and text generation models
Familiarity with cloud-based machine learning platforms and Generative AI services, such as Azure (Open AI, ChatGPT), Google Cloud or AWS
Knowledge of parallel computing and distributed training frameworks
Publications or contributions to the research community in the field of generative AI or related disciplines

Python Software Engineer freelance jobs (remote only)

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