Senior Software Engineer II

Senior Data Engineer

Staff Power Product Development Engineer

Director, Data Science

Senior Developer (IBM Maximo)

Senior Proactive Engineer

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

Role Description: <ul><li>Mexico City Are you ready to translate complex product needs into innovative software designs? How would you like to leverage your expertise in resolving technical issues and mentoring less-senior developers? About our Team We serve customers in more than 150 countries with 11,800 employees worldwide, a global provider of information-based analytics and decision tools for professional and business customers.</li><li>Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.&nbsp;</li><li>About the Role This position performs complex research, design, and software development assignments within a software functional area or product line, and provides direct input to project plans, schedules, and methodology in the development of cross-functional software products.&nbsp;</li><li>This position performs software design — typically across multiple systems; mentors more-junior members of the team; and talks to users/customers and translates their requests into solutions.&nbsp;</li></ul> Responsibilities: <ul><li>Collaborate with technical team members to refine and finalize software requirements.</li><li>Contribute to the design and development of complex system components.</li><li>Identify and resolve software issues and bugs.</li><li>Translate product requirements into effective software solutions.&nbsp;</li><li>Apply and promote best practices in coding, development processes, and code reviews.</li><li>Work in various development environments (e.g., Agile, Waterfall) with cross-functional teams.&nbsp;</li><li>Stay current with emerging technologies and industry trends.</li><li>Design and manage complex data models.&nbsp;</li><li>Support and mentor junior team members in development techniques and methodologies.</li><li>Share knowledge and contribute to a culture of continuous learning and improvement.&nbsp;</li></ul> Meal/Grocery Voucher Responsibilities&nbsp; <ul><li>Collaborate with technical team members to refine and finalize software requirements.</li><li>Contribute to the design and development of complex system components.</li><li>Identify and resolve software issues and bugs.&nbsp;</li><li>Translate product requirements into effective software solutions.</li><li>Apply and promote best practices in coding, development processes, and code reviews.</li><li>Work in various development environments (e.g., Agile, Waterfall) with cross-functional teams.</li><li>Stay current with emerging technologies and industry trends.&nbsp;</li><li>Design and manage complex data models.&nbsp;</li><li>Support and mentor junior team members in development techniques and methodologies.&nbsp;</li><li>Share knowledge and contribute to a culture of continuous learning and improvement.</li></ul> Requirements: <ul><li>5+ years of experience in software development or a related field.&nbsp;</li><li>Degree in Computer Science, Engineering, or equivalent practical experience.</li><li>Based in or near Mexico City, with the ability to work onsite 2 days per week (Glorieta del Ahuehuete, Reforma).</li><li>Proficiency in .NET (C#).</li><li>Strong skills in data manipulation and optimization techniques.</li><li>Solid understanding of data modeling (normalized and dimensional).</li><li>Familiarity with test-driven development and modern development tools.</li><li>Effective communication skills, both written and verbal.</li><li>Ability to collaborate with diverse teams and stakeholders.</li><li>Commitment to inclusive, accessible, and high-quality software development.</li></ul> Other Information: <ul><li>Work in a way that works for you We promote a healthy work/life balance across the organization.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate.&nbsp;</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li><li>Working for you We know that your well-being and happiness are key to a long and successful career.</li><li>These are some of the benefits we are delighted to offer:</li><li>Private Medical/Dental Plan</li><li>Savings Fund</li><li>Life Insurance</li></ul>

Responsibilities: <ul><li>Develop and implement accurate forecasting models to predict product demand using historical data.</li><li>Leverage time series analysis techniques to generate business insights and drive data-driven decisions.</li><li>Continuously optimize forecasting models to adapt to changing business needs and improve forecast accuracy.</li><li>Apply advanced ML algorithms (e.g., XGBoost, Random Forest, Deep Learning) to solve complex business problems.</li><li>Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights.</li><li>Develop and validate machine learning models to support various analytical use cases.</li><li>Design scalable and maintainable data pipelines and architectures to support analytical workflows.</li><li>Ensure high data quality and consistency across multiple data sources.</li><li>Collaborate with engineering teams to implement best practices in data storage, processing, and governance.</li><li>Build and deploy data solutions on Databricks, leveraging its ML and Spark capabilities.</li><li>Utilize AWS services (e.g., S3, EC2, Lambda, SageMaker) for scalable cloud-based model training and deployment.</li><li>Ensure cost-effective and optimized use of cloud resources in project implementations.</li><li>Design end-to-end analytics and ML solutions tailored to client needs.</li><li>Lead technical discussions and contribute to solution architecture.</li><li>Translate business requirements into technical specifications and deliver actionable results.</li><li>Understand key metrics and pain points within manufacturing and supply chain operations.</li><li>Use domain knowledge to frame problems accurately and drive impactful analytical outcomes.</li><li>Collaborate with stakeholders to ensure alignment between analytics and business goals.</li><li>Understand SAP modules related to supply chain and manufacturing (e.g., MM, PP, SD) Use SAP knowledge to enhance data modeling and business context understanding.</li></ul> Requirement: <ul><li>Skills Required: o Strong proficiency in Python o Expertise in Time Series Forecasting and Demand Forecasting o Familiarity with Advanced ML Algorithms and Data Analysis o Must have experience in Data Architecture – practical exposure required o Hands-on experience with Databricks and AWS (should be visible in past projects) o Design and solutioning experience highly valued</li><li>Strong background in data architecture, solution design, and end-to-end ML model lifecycle</li><li>Experience as Data Architect, Solution Architect, or in equivalent architectural roles</li><li>Should come from a product-based or data engineering-focused startup background</li></ul>

Responsibilities: <ul><li>Collaborate with cross-functional teams to design, develop, and launch new power connector and cable assembly solution products for data center applications.</li><li>Provide leadership and manage the complete product development life cycle (starting from the voice of the customer, ideation, Design Conceptualization, Creation of product specifications, 3D design, Prototyping, Product testing, Product qualification, Project Execution &amp; Sustenance till product end of life)</li><li>Work closely with customer/sales/PM in getting the right and clear VOC (voice of customer), and make engineering evaluation/proposal to the customer.</li><li>Follow LEANPD Project Process to support the project team from the PDE perspective to complete the Project (NPI or Sustaining) on time, with quality, and within budget. Drive the development and release of products, scale-up through stage-gate reviews, ensuring milestone commitments are maintained.</li><li>Develop and manage product documentation, including product requirements, design documents, and test plans/reports.</li><li>Work with global manufacturing resources, procurement, and outside suppliers to meet all technical, quality, and cost objectives.</li><li>Work closely with suppliers to identify and qualify new components and technologies.</li><li>Conduct thorough design verification and validation testing to ensure the product meets the required specifications.</li><li>Collaborate with manufacturing teams to ensure a smooth transition to production.</li><li>Mentor and guide junior engineers and technicians to develop their skills and knowledge.</li><li>Conduct competitive analysis and market research to identify opportunities for innovation and differentiation.</li><li>Build a deep understanding of market and customer needs by fostering a connection between the business engineering teams and the customer engineering teams.</li><li>Maintain a System level understanding of customer application and the product design/concept necessary for providing a solution to the customers’ expectations.</li><li>Technical support to customer, sales, PM, and plant team. Conduct necessary tests, engineering analysis, troubleshooting, and verification.</li><li>Introduce breakthrough technologies by partnering technically with our customers worldwide and with our Global competency centers to enhance business revenue &amp; growth.</li><li>Apply engineering best practices to reduce cost and sustain existing products to meet customer’s cost targets.</li></ul> Requirements: Preferred Years of Exp viz Minimum Years of Experience: <ul><li>Bachelors or Masters degree in Mechanical or Electrical Engineering.</li><li>Strong understanding of mechanical and electrical engineering principles.</li><li>Experience with product development processes, including design, prototyping, and testing.</li><li>Strong problem-solving skills and ability to work independently or as part of a team.</li></ul> Role Type: Skills: <ul><li>Minimum of 10 years of experience in product development, preferably in the technology industry with a minimum of 5 years in the Cable Assembly or connector related.</li><li>This highly technical position requires an individual who can work independently.</li><li>Experience in product compliance certification ( Product, Safety, Environmental substance control)</li><li>Experience in design for manufacturing and assembly (DFMA), design for cost (DFC), design for manufacturing (DFM).</li><li>Capability and experience in presentation on products, solutions, and technologies.</li><li>Previous experience in working in high-performing multi-disciplinary global engineering teams.</li></ul>

Responsibilities: Strategic Leadership:&nbsp; <ul><li>Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.</li></ul> Team Management:&nbsp; <ul><li>Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.</li></ul> Advanced Research Direction:&nbsp; <ul><li>Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage.</li></ul> Machine Learning and AI Solutions:&nbsp; <ul><li>Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.</li></ul> Data Collection and Preparation:&nbsp; <ul><li>Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.</li></ul> Data Visualization Strategy:&nbsp; <ul><li>Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.</li></ul> Cross-functional Collaboration:&nbsp; <ul><li>Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.</li></ul> Model Deployment and MLOps:&nbsp; <ul><li>Oversee the deployment of machine learning models into pro duction environments, ensuring scalability and reliability.</li></ul> Documentation Standards:&nbsp; <ul><li>Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.</li></ul> Budget and Resource Management:&nbsp; <ul><li>Manage departmental budget, resource allocation, and infrastructure needs for data science operations.</li></ul> Ethical AI Governance:&nbsp; <ul><li>Develop and enforce ethical guidelines and best practices for AI development and deployment.</li></ul> Requirements: <ul><li>Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.</li><li>10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.</li><li>Demonstrated experience in managing and scaling data science teams of 15+ professionals.</li><li>Proven record of delivering high-impact AI and ML solutions that have driven significant business value.</li><li>Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.</li><li>Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.</li><li>Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.</li><li>Strong business acumen with the ability to translate complex technical concepts into business value.</li><li>Excellent communication and leadership skills, with experience presenting to executive leadership.</li><li>Experience working in a global or multicultural environment.</li><li>Record of successful collaboration with product, engineering, and business teams.</li><li>Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.</li></ul>

Responsibilities: <ul><li>As Sr Developer, responsible for contribution to technical Solution Design, carry out Development independently, Testing of Maximo 7.6 with Utility, ACM or other Maximo Addons or Industry solution.</li><li>Application design, Automation scripts using Python/Java scripts, Complex maximo configurations.</li></ul> Requirements: Major Requirements: <ul><li>Experience with object-oriented programming languages such as Java and C++.</li><li>Deep knowledge of Java programming and related technologies.</li><li>Experience in JSON, XML, XML parsers, and XSL.</li><li>Experience in ETL, Master Data Load and Data Handling (Extraction/Transformation/ Manipulation).</li><li>Experience working with Oracle, DB2 and SQL Server databases: database sizing, troubleshooting, and performance tuning.</li><li>Configuration of Web Server Application like WebLogic/WebSphere.</li></ul> Skills and Requirements: <ul><li>At least 4 years of experience in Configuration &amp; Integration, Support and Maintenance in IBM Maximo v7.x.</li><li>Hand on experience on Following:</li><li>Extensive experience on Rest and Jason based integration.</li><li>Middleware integrations ex – Mulesoft, SAP PI.</li><li>Maximo migration experience with release and deployment management activities.</li><li>Data migration experience informatica and MIF framework.</li><li>Experience in Data modeling for BI reporting and hands on BIRT experience.</li><li>Expertise &amp; working knowledge in Maximo Asset Management (Solution design, development and implementation).</li><li>Working knowledge of capabilities in the IBM Maximo EAM/APM solution and Maximo Integration Framework.</li></ul> Qualifications: <ul><li>Bachelor’s degree or foreign equivalent required from an accredited institution.</li><li>Will also consider three years of progressive experience in the specialty in lieu of every year of education.</li><li>At least 4 years of Relevant Information Technology experience.</li></ul>

Responsibilities: <ul><li>Analyze DEX tool data to identify trends, predict issues, and propose proactive interventions to enhance employee digital experience.</li><li>Develop, test, and maintain scripts and tools using PowerShell and Python to automate repetitive tasks and improve system performance.</li><li>Work with data warehouses like Redshift and analytics platforms such as Databricks. Use SQL or another programming language to work with databases and create dashboards to extract insights and develop actionable recommendations.</li><li>Develop dashboards and reporting tools using SysTrack and Microsoft Power BI to provide visibility into key performance metrics.</li><li>Collaborate with IT Service Desk and Desktop Support Teams to identify opportunities for automation and efficiency improvements.</li><li>Proactively engage with stakeholders to understand business requirements and translate them into technical solutions.</li><li>Design and implement innovative ideas to enhance customer service and reduce the mean time to resolution (MTTR).</li><li>Act as a consultant to various teams, providing technical expertise in the use of DEX tools and scripting languages.</li><li>Lead initiatives to integrate new technologies or methodologies that improve the IT environment and employee satisfaction.</li><li>Conduct Root Cause Analysis (RCA) on recurring issues and propose permanent solutions.</li><li>Engage with vendor support resources to resolve complex technical challenges and evaluate new technologies.</li><li>Work with APIs to integrate and enhance system capabilities, ensuring seamless interaction between tools and platforms.</li></ul> Requirements: <ul><li>Proficiency in DEX tools like SysTrack, Nexthink, or similar platforms.</li><li>Strong coding skills in PowerShell and Python.</li><li>Hands-on experience with data analytics platforms, such as Databricks, and data warehouses like Redshift. Proficiency in SQL as a programming language for working with databases and creating dashboards.</li><li>Expertise in Microsoft Power Apps and Power BI for data visualization and automation.</li><li>Experience in working with APIs for system integration and enhancements.</li><li>Deep understanding of IT environments, including endpoint devices, software, and cloud-based tools.</li><li>Ability to interpret data and provide actionable insights to improve digital employee experience.</li><li>Strong problem-solving skills, with experience conducting RCA and developing innovative solutions.</li><li>Demonstrated ability to identify and act on trends and opportunities in emerging technologies.</li><li>Knowledge of IT Service Management frameworks (e.g., ITIL) and their practical application.</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

Responsibilities:&nbsp; <ul><li>You will build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc.&nbsp;</li><li>You will also act as a link between technical teams, account teams, executives, partners/customers.&nbsp;</li><li>In addition, you will show case AI solutions/products, its potential and promote its tactical and technical responsibilities.&nbsp;</li><li>You will play an important role in the design, development and promotion of AI Solutions and address challenges.&nbsp;</li><li>You will need to travel as needed to meet with clients and attend industry events.</li></ul> Requirements: <ul><li>The role requires at least 10 years of experience in spirits sales and distributor management</li><li>Solid experience within the Hong Kong market is a must.</li><li>FMCG background, on / off premise, outlet management is a must</li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Role Description: <ul><li>About the Role Our Principal Software Engineer will provide assistance and input to management, develops and leads large multifunctional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise.</li><li>The position may also provide sizing or budget recommendations to management.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,&nbsp;</li><li>We have implemented the following initiatives:</li><li>Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.</li><li>Women’s Network Forum: We offer dedicated forums that foster community, mentorship, and professional growth for women.</li><li>Inspiring Future Talent: We actively engage with schools, hosting events to inspire young females to consider and pursue careers in technology.</li></ul> Responsibilities: <ul><li>Serve as a primary technical point of contact for external technology resources.</li><li>Provide design input across a product.</li><li>Work directly with customers and end users.&nbsp;</li><li>Serve as acknowledged “go to” person on coding and technical issues.</li><li>Interface with other technical personnel or team members to finalize requirements.</li><li>Write and review portions of detailed specifications for the development of system components of moderate complexity.</li><li>Complete complex bug fixes.&nbsp;</li><li>Design and work with complex data models.</li><li>Mentor lead software developers interested in consultancy on development methodologies and optimization techniques.</li><li>All other duties as assigned.</li></ul> Requirements: <ul><li>10+ years of Software Engineering experience.</li><li>BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.</li><li>Bilingual English and Spanish.</li><li>All Qualified Applicants must reside in Mexico City, able to work in person 2-3 days per week as needed in Reforma, Glorieta del Ahuehuete.&nbsp;</li><li>Expertise in data modeling, design and manipulation, optimization, best practices, tuning, and leading industry trend knowledge.</li><li>Expertise in normalized/dimensional data modeling principles and their application to complex business needs.</li><li>Expertise in test-driven development and maintenance including techniques for applying best practices for overall project benefit.&nbsp;</li><li>Expert knowledge of multiple data storage subsystems.</li><li>Strong budgeting/finance skills.</li><li>Proven expert in partnering and leading internal and external technology resources in solving complex business needs.&nbsp;</li><li>Strong experience with various resource models such as Managed Services and/or Staff Augmentation.</li><li>Strong knowledge in industry best practices in external resource development.</li><li>Solid knowledge of architectural principles.&nbsp;</li><li>Strong proficiency with data manipulation language including optimization techniques.</li><li>Ability to design and work with complex data models.</li><li>Expertise in development languages: .NET- C#, JavaScript (Angular)&nbsp;</li><li>Knowledge in using and developing applicable tool sets.&nbsp;</li><li>Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity.&nbsp;</li><li>Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision- making.</li></ul> Other Information: <ul><li>Work in a way that works for you.</li><li>We promote a healthy work/life balance across the organization.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive</li><li>Working for you We know that your well-being and happiness are key to a long and successful career.</li></ul> These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.&nbsp;</li><li>Meal/Grocery Voucher Serve as a primary technical point of contact for external technology resources.</li><li>Provide design input across a product.&nbsp;</li><li>Work directly with customers and end users.</li><li>Serve as acknowledged “go to” person on coding and technical issues.</li><li>Interface with other technical personnel or team members to finalize requirements.</li></ul>

Skills

Industry

Location

Jobtitle

19 python Jobs found

Senior Software Engineer II

Senior Data Engineer

Staff Power Product Development Engineer

Director, Data Science

Senior Developer (IBM Maximo)

Senior Proactive Engineer

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

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

19 python Jobs found

Senior Software Engineer II

Senior Data Engineer

Staff Power Product Development Engineer

Director, Data Science

Senior Developer (IBM Maximo)

Senior Proactive Engineer

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

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.