Java Python Software Engineer

Business System Analyst I - Central Finance

Gas Processing AI Engineer

Data Platform Engineer

ASC - AI

FPGA Engineer

Applications Developer

Bioinformatics Scientist

Front End/Full Stack Software Engineer - Email & Collaboration Security Products

Data Analyst (1 year contract)

<ul><li>The opportunity to work on a variety of different technology platforms - ranging from well established players like Oracle through to emerging leaders like Featurespace, Netguardians, Quantexa etc.</li><li>The opportunity to get trained and formally certified in a number of these technology platforms, which provides for sought after specialist skills, experiences and certifications which drive candidates value in the market</li><li>The opportunity to work on the latest technologies including machine learning/AI, OCR, robotic process automation, sophisticated business process management / workflow tools, data models etc.</li><li>The opportunity to work on a variety of programming frameworks and languages (not just Java and Python)</li><li>The opportunity to get experience in Regtech, which is a large and growing market (expected to be 16bn USD annual spend by 2025</li><li>The opportunity to work on regional and international clients and occasionally to travel and work in regional / international locations</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation.</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up to date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation.</li><li>Lead the delivery and execution of key digital initiatives.</li><li>Participate in solutions development through projects and programs, collaborating with business and technology groups.</li><li>Maintain, support and optimize digital solutions.</li></ul> Requirements: <ul><li>As the successful candidate you will hold a bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program.</li><li>Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems.</li><li>Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. </li><li>UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions.</li><li>Ability to get involved in hands on technical solution management is preferred.&nbsp;</li></ul>

Overview: <ul><li>Gas Operations Technical Support Department is&nbsp;looking to hire a&nbsp;Gas Processing AI Engineer&nbsp;with hands-on experience in AI applications for the Hydrocarbon Processing &amp; Control Industry, specifically, in the Gas Processing and Liquefaction business.</li></ul> Responsibilities: <ul><li>Develop and lead execution of research programs that focus on developing novel technologies in the area of natural gas processing.</li><li>Lead multiple technology development projects related to natural gas processing.</li><li>Identify collaboration opportunities with leading institutes/organizations in the development of natural gas treatment technologies in upstream surface facilities.</li><li>Lead planning and execution of capital technology demonstration projects.</li><li>Provide technical guidance during complex troubleshooting for gas processing plants.</li><li>Liaise with relevant corporate stakeholders to ensure in-house technology options deployment.</li><li>Develop technology roadmaps and strategies to ensure prompt technology delivery.</li><li>Identify licensing opportunities of in-house developed technologies.</li><li>Conduct full feasibility studies on novel technologies, including chemical, mechanical, and thermal options, to guarantee maintaining natural gas processing at the lowest cost.&nbsp;</li><li>Conduct outlook studies of emerging technologies in the field of natural gas processing.</li></ul>&nbsp;Requirements: <ul><li>Ph.D. degree in Chemical Engineering or Industrial Chemistry with background on midstream natural gas treatment, recovery and utilization processes.</li><li>Minimum of 25 years of experience in R&amp;D relevant to midstream natural gas treatment technologies.</li><li>Relevant list of publications and patents.</li><li>Proven track record of conducting advanced technical projects with an ability to connect basic science research with industrial applications.&nbsp;</li><li>Hands-on experience in field operation and engineering projects&nbsp;</li><li>Knowledge of gas separation process designs and engineering terminologies</li><li>Vision, drive, and entrepreneurship spirit to develop new technologies and products.</li><li>Ability to work effectively in multicultural teams.</li></ul>

Responsibilities: <ul><li>Support daily business-as-usual (BAU) operations, audit and compliance</li><li>Communicate with vendor and BAU teams for data ingestion queries and issues</li><li>Manage data ingestion and DAG maintenance in Airflow</li><li>Develop and modify Python scripts for data ingestion</li><li>Write optimised SQL queries in Snowflake</li><li>Ensure documentation of applications</li></ul> Requirements: <ul><li>Bachelors degree in information technology/ computer science / software engineering</li><li>Knowledge and hands-on experience writing effective SQL queries and statements</li><li>Understanding of AWS services</li><li>At least 5 years of experience in a similar capacity</li><li>At least 3 years of proficiency in using Python to develop and modify scripts</li><li>At least 3 years of proficiency in managing data ingestion and DAG maintenance in Airflow</li></ul> Preferred Requirements: <ul><li>Knowledge in Hadoop Ecosystem like Spark or PySpark</li><li>Knowledge in AWS services like S3, Data Lake, Redshift, EMR, EC2, Lambda, Glue, Aurora, RDS, Airflow</li><li>1-2 years of proficiency in using Snowflake, including query optimisation to control Snowflake’s warehouse cost</li><li>Previous work experiences from investment banking/finance industry with demonstrated exposure to be ready to take on an individual contributor role</li></ul>

Responsibilities: <ul><li>Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.</li><li>Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions.&nbsp;</li><li>Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation</li><li>Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.</li><li>Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.</li><li>Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.</li><li>Communicate technical concepts and findings effectively to both technical and non-technical audiences.</li><li>Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.</li><li>Organize and facilitate workshops with different users and consultants to document processes and drive transformation</li><li>Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions</li></ul> Requirements: <ul><li>As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.&nbsp;</li><li>You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.</li><li>You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.</li><li>You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.</li></ul>

Responsibilities:&nbsp; <ul><li>Work with software and design teams to understand the functional and performance goals of MCU design.</li><li>Follow the FPGA/Emulation process flow and platforms across multiple pre-silicon design projects while working with Emulation team members across multiple geographies.</li><li>Implement and debug FPGA design primarily on Stratix-10 development board using Quartus.</li><li>Assist software and validation teams in reproduction, triage, and debug of issues.</li><li>Support a regression test suite consisting of system-level test cases to validate updated FPGA builds.&nbsp;&nbsp;</li></ul> Requirements: <ul><li>BSEE or BSCE with 5+ years of SoC design, verification, or related work experience and 2+ years of experience of FPGA design, bring-up, debugging, and verification;&nbsp;&nbsp;</li><li>In-depth knowledge of top-down FPGA development process with recent experience with FPGA-based prototyping on a platform comprising one FPGA;</li><li>Expertise in Intel Quartus Prime Pro or Xilinx Vivado suites with emphasis on Quartus Prime Pro 19.x and later;&nbsp;&nbsp;</li><li>Solid understanding of the tool flow from RTL to bitstream;</li><li>In-depth experience writing Verilog code and FPGA timing analysis;</li><li>Familiarity with source code control systems (git) required;</li><li>Familiarity with languages such as C/C++, Make, TCL, Python script is a plus;&nbsp;</li><li>Familiarity with embedded systems and interfaces such as I2C, SPI, MSPI, UART, USB, SDIO, MIPI is a plus.</li></ul>

Responsibilities: <ul><li>Assists with Information Systems projects.</li><li>Assists in system analysis and design.</li><li>Designs and develops low to moderately complex applications.</li><li>Generates application documentation.</li><li>Supports integration builds.</li><li>Assists with maintenance and support.</li></ul> Requirements: <ul><li>Azure Cloud, .NET core, Java, Python, Angular JS, SQL Server, CI/CD Technologies, Kubernetes.</li><li>Secondary Skills:</li><li>SAFe Framework, Scrum Masters</li><li>Bachelor’s Degree or International equivalent</li><li>Bachelors Degree or International equivalent in Computer Science, Information Systems,</li><li>Mathematics, Statistics or related field - Preferred</li></ul>

Responsibilities: <ul><li>Perform genome assembly, annotation, and identification of novel genes in newly sequenced species for cell characterisation, quality marker development &amp; traceability</li><li>Utilise -omics technologies such as genomics, proteomics, and transcriptomics to profile &amp; evaluate cells</li><li>Develop and implement bioinformatics pipelines for data processing and analysis and supporting machine learning algorithm development</li><li>Support cell line and cell culture media development with genotype and phenotype insights</li><li>Building genome-scale metabolic models (GEMs) for aquatic species to support culture media and product development</li><li>Explore bioinformatics/computational tools to support exploratory requests from the team</li></ul> Requirements: <ul><li>PhD in Bioinformatics, Genomics, Computational Biology, or a closely related field</li><li>2-5 years of experience in bioinformatics research</li><li>Proven experience in analyzing large biological datasets using R and Python</li></ul>

Responsibilities: <ul><li>Work closely with Product Management, UX designers, X1 platform engineers, and the larger engineering team to deliver high quality user interfaces and product features in the cloud.</li><li>Build the next generation of end-user applications</li><li>Mentor and guide other engineers, fostering a culture of collaboration, continuous learning, and professional growth.</li><li>Deliver services and components through CI/CD and automated testing</li><li>Create and maintain comprehensive technical documentation for architectures, processes, and procedures.</li><li>Craft resilient, secure, and efficient code, ensuring optimal performance and minimal downtime.</li></ul> Requirements: <ul><li>Demonstratable ability to work effectively in a collaborative team environment, mentoring junior team members and contributing to a positive team culture.</li><li>Experience building user interfaces in Angular, React or VueJS.</li><li>Preferably experience in building cloud based microservices in python and/or Java</li><li>Hands-on experience with Jenkins and building/maintaining robust CI/CD pipelines.</li></ul>

Responsibilities: <ul><li>As a Data Analyst working on the Regional Supply Chain team, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies to grow our business on e-com and off-line.</li><li>Definition of the feasibility and implementation of use cases</li><li>Understanding business needs and translate them to technical terms</li><li>Developing, adapting, and executing reports for different markets/deployment as needed</li><li>Modelization, packaging and making assets available for key users</li><li>Owning and managing the solutions, app, workspace, and reports repository</li></ul> Requirements: <ul><li>Data manipulation and analysis skills: Data wrangling, crunching, preparation, visualization</li><li>Exploratory data analysis</li><li>Experience in data visualization, knowledge or interest in Power BI</li><li>Proficiency in web frameworks knowledge appreciated</li><li>Python, R, Microsoft SQL Server, GCP knowledge are a MUST</li><li>Familiar with MLOps tools: MLFlow, DVC, or similar frameworks.</li><li>SAP ECC and Supply Chains domains knowledge appreciated</li></ul>

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37 python Jobs found

Java Python Software Engineer

Business System Analyst I - Central Finance

Gas Processing AI Engineer

Data Platform Engineer

ASC - AI

FPGA Engineer

Applications Developer

Bioinformatics Scientist

Front End/Full Stack Software Engineer - Email & Collaboration Security Products

Data Analyst (1 year contract)

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37 python Jobs found

Java Python Software Engineer

Business System Analyst I - Central Finance

Gas Processing AI Engineer

Data Platform Engineer

ASC - AI

FPGA Engineer

Applications Developer

Bioinformatics Scientist

Front End/Full Stack Software Engineer - Email & Collaboration Security Products

Data Analyst (1 year contract)

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.