Data Scientist

Sr. Generative AI Engineer

Android - Sr/Staff Software Engineer

AI Lead

Product Specialist

Computational Geophysicist

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities: <ul><li>Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.&nbsp;&nbsp;</li><li>Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.&nbsp;&nbsp;</li><li>Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.&nbsp;&nbsp;</li><li>Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.&nbsp;</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.&nbsp;</li><li>Contribute to the establishment of best practices and standards for generative AI development within the organization.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience&nbsp;</li><li>Minimum of five years of related work experience&nbsp;</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks&nbsp;</li><li>Have deep understanding of industry leading Foundation Model capabilities and its application.&nbsp;&nbsp;</li><li>You are familiar with cloud-based Generative AI platforms and services&nbsp;</li><li>Full stack software engineering experience to build products using Foundation Models&nbsp;</li><li>Confirmed experience architecting applications, databases, services or integrations&nbsp;</li></ul>

The Role As a Staff Software Engineer, you will act as a subject matter expert. We are looking for technologists with the highest levels of technical talent, programming, and communication skills with a keen desire to deeply understand our product and how to make our systems stronger and more resilient. &nbsp;Responsibility <ul><li>Lead engineering efforts and team level processes by defining outcomes for others, refining ongoing processes, and providing technical advice to senior leaders on systems, solutions, challenges, and strategy.</li><li>Evangelist for technical standards, engineering best practices, and quality across larger Venmo team , Inc. Determines the technical tasks that other engineers will follow.</li><li>Support end-to-end ownership of design, implementation and operational excellence of software components while proactively improving existing structures and processes.</li><li>Contribute to the technical engineering roadmap by completing quality and thorough assessments of implementation alternatives and their associated trade-offs and providing recommendations.</li><li>Be consistently solutions-focused while contributing to the vision of domain and larger Venmo technical engineering roadmap.</li><li>Exercises judgement in reconciling diverse and competing priorities to identify optimal solutions to problems.</li><li>Leverage strategic thinking and experience to look ahead and anticipate consequences and risks linked to implementation choices; able to identify patterns to reduce repetition into meaningful general solutions.</li><li>A key voice on team-level processes (ex code &amp; design reviews) and oversees projects, ensuring an accurate, complete, timely and operable solution is delivered.</li><li>Serves as an expert to resolve technical inquiries of others.</li><li>Be able to provide technical leadership for a team with limited guidance from management or senior teammates.</li><li>Strong skills interacting and tailoring communication with various technical and non-technical stakeholders, such as product, support, finance operations, compliance and legal.</li></ul> Requirement <ul><li>At least 5+ years’ Experience developing and maintaining consumer-facing mobile applications at scale.</li><li>Strong Kotlin skills &amp; knowledge of multi-threaded, asynchronous code.</li><li>Deep understanding and knowledge around consuming GraphQL and REST APIs from Mobile applications.</li><li>Passionate about mentoring and developing software engineers.</li><li>Strong understanding of testing best practices and familiarity with at least one testing framework for Mobile Development. Skilled at writing Unit and Automation tests.</li><li>Strong knowledge of common design patterns, algorithms, and object-oriented programming with expertise in design patterns such as MVC and MVVM.</li></ul>

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>

Overview:We are seeking to hire a computational geophysicist to join the Geophysical Imaging Department that aims to provide a diverse set of geophysical solutions which illuminate the subsurface to reduce the uncertainty surrounding hydrocarbon & non-hydrocarbon activities through integrating the best talent, optimal processes and leading-edge technologies. The candidate will formulate and develop algorithms in CPU and GPU for various geophysical disciplines in collaboration with the subject matter experts. The codes are expected to be put into a production environment and used as part of the main workflow to improve the quality and efficiency of the department products. The geophysical products include but are not limited to velocity model building and depth imaging: therefore, basic knowledge in each discipline is preferable. In addition, the computational geophysicist will provide periodic updates through presentations, reports and demonstrations and must have excellent verbal and written communication skills.Responsibilities: Develop applications that improve the accuracy of our current geophysical modelling and inversion algorithms.Adapting scientific applications to GPU.Improve geophysical technology software documentation and user friendliness.Support existing technology in production environment.Restructure software code for efficiency and effectiveness.Stay up to date with industry technology and software trends to bring ideas to geophysical solutions.Prepare and present professional-quality presentation materials to technical peers and management.Transfer knowledge to young professionals to ensure business continuity through mentorship and documentation.Requirements: A successful candidate, would need to hold a bachelor or higher degree in Geoscience.10+ years of experience in geophysical field and/or oil and gas industry.Advance depth imaging (FWI, RTM, LSRTM) and velocity model building experience.Experience with numerical methods, parallel algorithms, MPI, and GPU programming.Proficiency in computing programming language (Fortran, C++ and/or C).English language fluency with the capability to communicate clearly and effectively verbally and in writing Excellent.

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6 algorithms Jobs found

Data Scientist

Sr. Generative AI Engineer

Android - Sr/Staff Software Engineer

AI Lead

Product Specialist

Computational Geophysicist

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6 algorithms Jobs found

Data Scientist

Sr. Generative AI Engineer

Android - Sr/Staff Software Engineer

AI Lead

Product Specialist

Computational Geophysicist

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