AI Lead

Product Specialist

Machine Learning Scientist

Gas Processing AI Engineer

ASC - Business Sys Analyst I (AI)

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Role Description:As an ML engineer, you will have the opportunity to work on large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs The solutions developed by you will aid in building novel and meaningful graph-based community assets around the network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.Responsibilities: As a Machine Learning Scientist you will be responsible for:Creating innovative AI/ML solutions that enhance personalization for users, with a focus on ranking and recommendation algorithms.Writing scalable, production-quality code to deploy models on company infrastructure, optimizing for performance and efficiency.Collaborating with cross-functional teams, including engineering, product, and marketing, to design, develop, and track key performance indicators (KPIs) for ranking and recommendation models.Conducting experiments to measure these KPIs, as well as deriving actionable insights from the data, to continually improve the technology and drive business outcomes.Requirements:Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 2 years of hands-on experience for MS as an individual contributor.Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.Demonstrated ability to write scalable high quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.Proficiency in machine learning frameworks and packages, such as Tensorflow and PyTorch. 

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

Responsibilities: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.Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation.Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.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.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformation.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.Requirements: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. 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 requiredSkills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.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.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. 

Role Description:We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions & Data Management Division of the Digital Finance Department.Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning & forecasting, performance management and the entire suite of digital solutions for the Finance Business line.Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC).The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization.The analyst will also lead implementation initiatives where required in addition to managing post implementation support.Responsibilities:Pursue a robust value centric methodology to identify valuable opportunities enabled by AI/ML, Predictive/Prescriptive Analytics, Generative AI, Chatbots and other technologiesleverage best practices to recommend and advocate transformation of finance functions with AI Conduct exploratory data analysis, leverage AI algorithms to derive value for finance functions, such as for forecasting, anomaly detection etc. Ideate AI solutions, develop scope, design and facilitate implementation of digital solutions, and coordinate change management Continuous upkeep and training of AI models to ensure integrity and traceability 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.Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementationDevelop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.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.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformationLead 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.Requirements: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. 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.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.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. 

OverviewWe are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions & Data Management Division of the Digital Finance Department.Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning & forecasting, performance management and the entire suite of digital solutions for the Finance Business line. Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC). The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization. The analyst will also lead implementation initiatives where required in addition to managing post implementation support.ResponsibilitiesDesign, 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.Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementationDevelop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.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.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformationLead 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 solutionsMinimum RequirementsAs 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.  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.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.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. 

Skills

Industry

Location

Jobtitle

7 tensorflow Jobs found

AI Lead

Product Specialist

Machine Learning Scientist

Gas Processing AI Engineer

ASC - Business Sys Analyst I (AI)

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

7 tensorflow Jobs found

AI Lead

Product Specialist

Machine Learning Scientist

Gas Processing AI Engineer

ASC - Business Sys Analyst I (AI)

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

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

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

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