AI Lead

Product Specialist

Testing QA

Data Engineer Lead - Python and PySpark

Data Engineer / Senior / Supervisor

Data Scientist - Entry

Data Scientist- AI Architect

Principal Software Engineer

Sr Aircraft Structural Engineer

ASC - Downstream Data Scientist

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>

The Role: <ul><li>Responsible for testing applications to meet business process and application requirements. Your typical day will involve working on functional test planning and ensuring the quality of the application.</li></ul> Responsibilities: <ul><li>Develop and execute functional test plans for applications to ensure the quality of the application.</li><li>Collaborate with cross-functional teams to test applications to meet business process and application requirements.</li><li>Identify and troubleshoot application issues, working with the development team to resolve them.</li><li>Ensure the application meets the required standards.</li></ul> Requirements: <ul><li>Min 3 years of Experience in functional test planning.</li><li>Experience in software development and programming languages such as Java or Python</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Experience with Azure DevOps tool for managing tests and bugs.</li></ul>

Responsibilities:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

Role Description:The Data Scientist role will work in a team environment to deliver business solutions.This will involve engaging with clients, internal onsite experts, and contract resources to develop and support IT solutions.Responsibilities: Works on clearly defined projects involving a limited amount of complexity, with regular review of output.Applies basic knowledge of established systems software development principles and best practices to independently resolve problems and make minor changes to existing processes/systems.Good to have sound knowledge on Generative AI , machine learning concepts and principles.Knowledge of advanced predictive analytics using tools like Python or R.Knowledge of Frameworks such as Scikit-learn , Numpy, Pandas, Beautifulsoup, Matplotlib, Dash.Experience working with visualization tools like Power BI and Tableau.Strong written, verbal and interpersonal communication skills.Ability to work in teams and good team player.Requirements:0.6 -2 Years of Experience.Education: B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization, MCA.Should have attended a Data Science Bootcamp / Course / Internship.

Responsibilities: As part of the Data Science organization at our client, the Generative AI team is working on digital transformation.We are developing enterprise solutions for Commercial, Technology and Operations functions. As an AI Engineer you will lead the design, development and adoption of new technology and analytics, help contribute to our AI strategy, and partner with leaders across the company.The role will involve collaborating with cross-functional teams to ensure the successful creation and roll-out of AI driven solutions.Role Type : Individual Contributor As AI Engineers you will perform work including: Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support AI applicationsPerform statistical analysis and data manipulation using language models.Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.Architect and design innovative AI solutions tailored to business requirements.Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.Communicate complex technical concepts and results to non-technical audiences effectively.Contribute to the development of AI strategies and governance for the organization.Stay current with advancements in AI and machine learning technologies and apply them to solve business challenges.Lead efforts to improve enterprise adoption and proficiency in the use of AI tools Requirements:10+ years of experience in data science, AI, or a related field preferred.Proficiency in software development and statistical analysis.Experience with Large Language Models and their applications.Strong communication skills and the ability to present technical results to business stakeholders.Experience with solution architecting and design preferred.Hands-on experience with cloud platforms such as Azure and/or AWS.Proficiency in programming languages such as Python, R, or similar.Strong problem-solving skills and the ability to work independently as well as part of a team.Bachelor's in Computer Science, Mathematics, Statistics, or a similar field. Master's or Ph.D. preferred.Preferred Qualifications: Experience with large language models and supporting workflows.History of project leadership and development.Familiarity with Agile development.Experience in applications related to sales, marketing, and market research a plus. 

The Role:We’re looking for a Principal Software Engineer that will be responsible for leading the administration, maintenance, and enhancement of our company's cloud infrastructure within our global data centers. This role demands experience and proficiency with Python and Ruby on Rails. The Engineer will ensure the reliability, security, and efficiency of our systems and networks while driving automation through innovation. Responsibilities:Develop global standards, process improvements, and promote best practices.Manage large-scale projects by coordinating with internal teams and third-party resources.Provide regular project updates to stakeholders through meetings.Lead the development and maintenance of internal automation scripts using Python and Ruby on Rails.Create comprehensive documentation for projects and workflows.Troubleshoot and resolve hardware issues on various enterprise servers (Blades, Storage, white label).Facilitate cross-functional communication with other Technical Operations groups.Participate in conference calls and meetings with vendors, suppliers, and team members.Collaborate closely with Data Center Engineers worldwide.Manage enterprise servers distributed globally across data centers.Participate in on-call rotations and be available for emergency situations.Assist with server provisioning and deployment.Send regular reports on server monitoring and other activities.Requirements:Familiarity with DevOps practices and CI/CD pipelines.Proficiency in shell scripting, specifically Python and Ruby on Rails.Strong knowledge of Linux and Windows operating systems.Expertise in computer hardware and resolving hardware issues on enterprise-level servers.Experience with installing various operating systems (Linux and Windows).Knowledge of cloud systems technologies, such as AWS.Strong verbal and written communication skills.Ability to prioritize tasks in a complex, fast-paced environment.Understanding of BIOS, BMC, out-of-band/lights-out server communication methods (IPMI, serial console).Experience with firmware management for all hardware components.Minimum of 5 years of relevant industry experience.Desirable Skills:Knowledge of data center best practices (fault tolerance, cable routing, etc.).Experience with heterogeneous server/network hardware failures and Linux OS/Junos.Experience in data center hardware deployments and building scalable infrastructure.Ability to adapt and drive change in a dynamic environment.A+ certification is a plus.

Responsibilities: Conduct the needed analysis for the sizing, design, analysis and optimization of structural components and complete assemblies in the domains of development, production support and in-service support.Plan and participate in structural tests, vibration and other system dynamic tests, material tests, and other.Develop and maintain numerical tools needed to meet the task objectives.Prepare the necessary documentation (simulation results, calculation procedures, test plans and reports, software documentation, project deliverables, certification, and qualification documentation, etc.).Requirements:Holds at least a Bachelor’s degree in Aerospace Engineering or related field (Master’s preferred) with relevant experiences in structures and materials science.Several years (minimum 5 years of experience in structural design and analysis (within the aviation industry is an advantage).Is comfortable reviewing and approving aircraft structure repair drawings.Experience with FEM software (Python/MATLAB/C would be an advantage).Knowledge of applicable airworthiness regulations (experience with CS-23/25 is an advantage).Has strong, written and spoken, communication skills in English.Is a dynamic person with initiative, a strong sense of responsibility and good judgment.Is self-starter, team player, well organized and customer oriented.

Responsibilities:Formulate and lead multifaceted analytic studies against large volumes of data.Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Lead all data experiments tasked by the Data Science Team.Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develop methodology and processes for prioritization and scheduling of projects.Analyze problems and determine root causes.Define company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:As the successful candidate you will hold a Bachelor degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.You will have 5-7 years of professional experience in related fieldYou will have Proficiency with one or more programming languages (Java, C++, Python, R, etc.)You will be able to demonstrate experience applying data science methods to real-world data problemsYou will also have experience in utilizing visualization tools to take advantage of the growing volume of available information

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28 python Jobs found

AI Lead

Product Specialist

Testing QA

Data Engineer Lead - Python and PySpark

Data Engineer / Senior / Supervisor

Data Scientist - Entry

Data Scientist- AI Architect

Principal Software Engineer

Sr Aircraft Structural Engineer

ASC - Downstream Data Scientist

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28 python Jobs found

AI Lead

Product Specialist

Testing QA

Data Engineer Lead - Python and PySpark

Data Engineer / Senior / Supervisor

Data Scientist - Entry

Data Scientist- AI Architect

Principal Software Engineer

Sr Aircraft Structural Engineer

ASC - Downstream Data Scientist

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.