junior data engineer - python

remote ml engineer

machine learning engineer

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 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Title: Manager II, Machine Learning Engineer
 
 
 
 EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.
 
 
 Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you&rsquo;ll work with technologists and business experts, blending EY&rsquo;s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you&rsquo;ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
 
 
 
 EY Technology:
 
 
 
 Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization.
 
 
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 EY Technology supports our technology needs through three business units:
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 Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly.
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 Enterprise Workplace Technology (EWT) &ndash; EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience.
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 Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems.
 
 
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 The opportunity
 
 
 
 This role will be managing a team of machine learning engineers responsible for the development and programming of machine learning integrated software algorithms. Supports the continuous evolution and strategy of machine learning engineer program. This role also includes creating data mining architectures, applying data science methodologies, and researching emerging techniques to identify trends and inform business decisions.
 
 
 
 Your Key Responsibilities
 
 
 
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 Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
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 Oversees complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency.
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 Monitors existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models.
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 Collaborates with other data science teams to review model ready dataset document/feature documentation.
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 Partners with data science teams to understand data requirements. Oversees detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools.
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 Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Supports ongoing business planning and departmental prioritization activities.
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 Guides model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.
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 Executes operational plans to achieve department objectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.
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 Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
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 Participates in special projects and performs other duties as assigned.
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 Develops scalable data mining strategies and analytical models to uncover hidden patterns and improve decision-making processes across domains.
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 Applies domain-specific data analysis techniques in sectors like marketing, supply chain, or scientific research to deliver strategic impact.
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 Explores and integrates emerging data science frameworks and tools to enhance analytical maturity and model performance across the enterprise.
 
 
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 Skills And Attributes For Success
 
 
 
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 A team player with strong analytical, communication and interpersonal skills
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 Constantly updating yourself about new technologies in the market
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 A winning personality and the ability to become a trusted advisor to the stakeholders
 
 
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 To qualify for the role, you must have
 
 
 
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 Minimum 8 years of experience in data science, data engineering, or machine learning roles
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 Bachelor&rsquo;s degree (B.E./B.Tech) in Data Science, Computer Science, or Applied Mathematics; Master&rsquo;s degree/Diploma preferred in relevant fields
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 Strong hands-on experience in pipeline design, model monitoring, AI/ML implementation, stakeholder collaboration, and analytical storytelling.
 
 
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 Ideally, you&rsquo;ll also have
 
 
 
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 Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
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 Be highly flexible, adaptable, and creative.
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 Comfortable interacting with senior executives (within the firm and at the client)
 
 
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 What We Look For
 
 
 
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 Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.
 
 
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 What Working At EY Offers
 
 
 
 We offer a competitive remuneration package where you&rsquo;ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
 
 
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 Support, coaching and feedback from some of the most engaging colleagues around
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 Opportunities to develop new skills and progress your career
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 The freedom and flexibility to handle your role in a way that&rsquo;s right for you
 
 
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 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

AI And A - Machine Learning Engineer - VG - W4 - CDAO0230

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Machine Learning Engineers (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
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 Work with real-world ML codebases to support
 
 MLE Bench&ndash;style evaluation tasks
 
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 Build, run, and modify
 
 model training, evaluation, and inference pipelines
 
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 Prepare datasets, features, and metrics for ML benchmarking and validation.
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 Debug, refactor, and improve
 
 production-like ML systems
 
 for correctness and performance.
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 Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.
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 Write
 
 clean, reproducible, and well-documented Python code
 
 for ML workflows.
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 Participate in
 
 code reviews
 
 to ensure high standards of engineering quality.
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 Collaborate with researchers and engineers to design
 
 challenging, real-world ML engineering tasks
 
 for AI system evaluation.
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 Requirements:
 
 
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 Minimum
 
 3+ years
 
 of overall experience as a
 
 Machine Learning Engineer or Software Engineer (ML-focused)
 
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 Strong proficiency in
 
 Python
 
 for machine learning and data workflows.
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 Hands-on experience with
 
 model training, evaluation, and inference pipelines
 
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 Solid understanding of
 
 machine learning fundamentals
 
 (supervised/unsupervised learning, evaluation metrics, optimization).
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 Experience working with
 
 ML frameworks
 
 (e.g., PyTorch, TensorFlow, JAX, or similar).
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 Ability to understand, navigate, and modify
 
 complex, real-world ML codebases
 
 .
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 Experience writing
 
 readable, reusable, and maintainable production-quality code
 
 .
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 Strong problem-solving and debugging skills.
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 Excellent spoken and written
 
 English communication skills
 
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 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
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 Work in a fully remote environment.
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 Opportunity to work on cutting-edge AI projects with leading LLM companies.
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 Offer Details:
 
 
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 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
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 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
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 Duration of Contract:
 
 3 months (adjustable based on engagement)
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 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote ML Engineer

Electronic Arts (EA)

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 Description &amp; Requirements
 
 
 
 Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
 
 
 Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.
 
 
 The Data &amp; Insights (D&amp;I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.
 
 
 The Data Engineer -II will report to the Senior Manager, Data Engineering.
 
 
 
 Responsibilities
 
 
 
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 Design, build, and sustain efficient, scalable, and performant Data Engineering Pipelines.
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 Develop, optimize, and support production data workflows to ensure comprehensive and accurate datasets.
 
 
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 Qualifications
 
 
 
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 Bachelor's in Computer science or associated discipline with relevant industry experience(3+ Years) in a data engineering role.
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 Proficiency in writing and analysing complex SQL, Python or any 4GL.
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 Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure tools (e.g., Terraform, CloudFormation).
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 Hands-on experience with Cloud Data Warehouses like Snowflake, Redshift, Big Query or other big data solutions
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 Experience with distributed data processing frameworks (e.g., Apache Spark, Airflow, Flink, Beam, and Trino).
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 Experience with real-time/streaming data technologies (e.g., Kafka, Kinesis, and Spark Streaming).
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 Experience in version control and CI/CD workflows (e.g., Git).
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 Familiarity with BI Tools like Looker, Tableau &amp; Power BI, dashboard design, data quality, data governance, and data observability tools
 
 
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 About Electronic Arts
 
 
 
 We&rsquo;re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
 
 
 We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
 
 
 Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
</div>

Junior Data Engineer - Python

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AI And A - Machine Learning Engineer - VG - W4 - CDAO0230

Remote ML Engineer

Junior Data Engineer - Python