AI/ ML Engineer

Technical Lead - Data Engineering

Product Owner

Senior Proactive Engineer

Technology Operations Analyst

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

Senior Data Scientist

Responsibilities: <ul><li>Responsible for ensuring that ML models and pipelines are deployed successfully into production</li><li>Implementation of ML features for new and existing systems</li><li>Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud services</li><li>Automate model training, testing and deployment using CI/CD</li><li>Understand and implement metrics to verify effectiveness and soundness of the ML model</li></ul> Requirements: <ul><li>Formal training in a quantitative discipline (e.g., statistics, operations research, economics, computer science, mathematics)</li><li>5 years of relevant work experience in data analysis, data science or related fields, with deep expertise in statistical data analysis</li><li>Experience with Python and related ML libraries (eg. Pandas, Pytorch)</li><li>Experience with database languages (e.g. SQL)</li><li>Experience working in a multi-disciplinary team of data scientists, software engineers, product managers and subject domain experts</li><li>Experience in Agile working environment</li></ul> Preferred requirements: <ul><li>Experience with AWS cloud services like AWS Textract and Comprehend is preferred</li><li>Experience with Dagster/Airflow is preferred</li><li>Experience in MLOps</li><li>Experience in delivering Natural language processing (NLP) products</li></ul>

Responsibilities: <ul><li>Define and drive the data engineering strategy and roadmap.</li><li>Ensure code quality and best practices (e.g., modularity, reusability, scalability, and testability).</li><li>Review code and mentor engineers on data engineering best practices.</li><li>Optimize data workflows for performance, reliability, and cost.</li><li>Design and implement data lake/warehouse architectures.</li><li>Work closely with data scientists, analysts, product managers, and business stakeholders to define data needs.</li><li>Implement data quality checks and observability tools.</li></ul> Requirements: Experience: <ul><li>10+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.</li><li>Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.</li><li>Hands-on experience in designing and implementing data pipelines, data integration, and data warehousing solutions.</li><li>Fluency in English and Mandarin (both spoken and written), enabling effective communication with global stakeholders.</li><li>Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong problem-solving skills and the ability to think critically about data architecture and process optimization.</li></ul> Educational Qualification: <ul><li>Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field.</li><li>Advanced degree in Computer Science, Data Engineering, or a related field.</li><li>Certifications in Snowflake or data engineering tools are a plus.</li></ul>

Responsibilities: <ul><li>Develop Cloud platform software and collaborate across engineering groups to maximize the use of common emerging platform technologies, conventions and technological building blocks.</li><li>Communicate across functions and other stakeholders and drive engineering initiatives&nbsp;</li><li>Introduce and maintain AGILE SDLC best practices in the team.&nbsp;</li><li>Participate in Code Review, Technical design discussion&nbsp;</li><li>Be a subject matter expert in the Public Cloud and On-Prem based platforms</li><li>Craft project status reporting and deliver executive briefings to update senior leaders and stakeholders.</li><li>Understand product use case and communicate technically with local and remote engineering teams.</li><li>Develop strong working relationships with cross functional teams to best understand and deliver on business goals and priorities.</li></ul> Requirements: <ul><li>10+ years of software engineering work experience, including hands-on technical management.</li><li>In-depth knowledge on NMS and other network software</li><li>7+ years’ experience coding in one of the following languages: Go and Python.</li><li>Experience with Docker and Kubernetes for deployment and orchestration.</li><li>Hands-on knowledge on Public Cloud Services and infrastructure.&nbsp;</li><li>7+ years’ of demonstrated experience recruiting and managing technical teams, including performance management</li><li>Well versed in Agile Project Management processes. Able to deal well with rapid changes and manage through long projects</li><li>Strong verbal and written communications skills are a must, as well as the ability to work effectively across global internal and external organizations and remote teams</li><li>Education – BE/B.Tech in Computer/Electronic &amp; Telecommunication Engineering&nbsp;</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: Process Improvement and Technology Implementation: <ul><li>Assist in implementing new technologies to streamline HR processes, reduce costs, and improve service quality.</li><li>Analyze current HR technologies to identify automation opportunities and process improvement areas.</li><li>Support the Service Excellence team in driving HR technology initiatives, automation, and continuous improvement.</li><li>Help develop and implement new technology solutions to enhance HR operations.</li></ul> Data Analysis and Reporting: <ul><li>Gather, analyze, and interpret data related to technology performance, process efficiency, and service delivery.</li><li>Create reports to identify trends, issues, and opportunities for improvement in technology and process performance.</li><li>Analyze HR metrics and data to support decision-making and strategic planning.</li></ul> Collaboration and Stakeholder Engagement: <ul><li>Work closely with cross-functional teams to understand business requirements and align technology solutions with HR workflows.</li><li>Provide technical support to the shared service team and train members on new technologies and systems.</li><li>Liaise with technology vendors and service providers to ensure optimal service and value.</li></ul> Project Management and Service Delivery: <ul><li>Manage technology-related projects within the shared service center, ensuring projects are completed on time and within budget.</li><li>Monitor and evaluate the effectiveness of implemented technology solutions and process improvements.</li><li>Optimize service delivery through the enhancement of self-service portals, chatbots, and other digital tools.</li></ul> Compliance and Risk Management: <ul><li>Ensure all technology solutions comply with company policies, industry standards, and legal regulations.</li><li>Identify and mitigate technology-related risks, including cybersecurity risks.</li></ul> Requirements: Essential: <ul><li>Bachelors degree in Information Technology, Computer Science, Engineering, or a related field.</li><li>Minimum of 2+ years of relevant experience in technology, IT support, or similar roles.</li><li>Proven experience with Workday and ServiceNow platforms, especially HR modules (Workday HCM, ServiceNow HR Service Delivery).</li><li>Strong analytical skills with experience in data reporting and dashboard creation.</li><li>Familiarity with industry-specific regulations and data security standards.</li><li>Attention to detail and commitment to ensuring accuracy and quality in technology solutions and documentation.</li></ul> Preferred: <ul><li>Certifications such as Certified Business Analysis Professional (CBAP), Certified Data Analyst (CDA), or relevant certifications in tools like Tableau or Power BI.</li><li>Experience with Workday HCM modules, including Core HR, Talent Management, Recruiting, and Payroll.</li><li>Knowledge of Workday integration tools, including EIB (Enterprise Interface Builder) and Workday Studio.</li><li>Familiarity with ServiceNow modules, particularly in HR Service Delivery, Incident Management, and Knowledge Management.</li><li>Proficiency in programming languages such as Workday Studio and familiarity with SQL or Python for data analysis.</li><li>Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.</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>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

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25 python Jobs found

AI/ ML Engineer

Technical Lead - Data Engineering

Product Owner

Senior Proactive Engineer

Technology Operations Analyst

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

Senior Data Scientist

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25 python Jobs found

AI/ ML Engineer

Technical Lead - Data Engineering

Product Owner

Senior Proactive Engineer

Technology Operations Analyst

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Consulting/Principal Software Engineer

Senior 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.