Senior Machine Learning Engineer

Senior Data Scientist 2

Senior Software Engineer 2 (Ruby on Rails)

Talent Acquisition Coordinator

Associate Data Engineer

Talent Acquisition Specialist

Senior Machine Learning Engineer (Production & MLOps Focus)

Senior Application Developer - MS Power Apps

Senior Proactive Engineer

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: 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.</li><li>Meal/Grocery Voucher.</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 Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Responsibilities: <ul><li>Lead the design and development of LLM-powered solutions for clinical summarization, intelligent chat, and document understanding to improve patient care outcomes.</li><li>Architect and implement end-to-end machine learning pipelines, including Retrieval-Augmented Generation (RAG) systems using vector databases such as Pinecone and Weaviate.</li><li>Fine-tune and optimize state-of-the-art language models (e.g., GPT, LLaMA, Mistral) and apply advanced prompt engineering to address specialty-specific healthcare use cases.</li><li>Own project delivery end to end, collaborating with stakeholders to ensure AI solutions are ethical, scalable, reliable, and well-governed.</li><li>Mentor and support junior data scientists, fostering a culture of experimentation, learning, and innovation.</li></ul> Requirements: <ul><li>Experience: 8–12 years in Data Science/ML, with at least 3+ years specifically focused on LLMs and Generative AI.&nbsp;</li><li>Technical Mastery: Deep hands-on expertise in Python and frameworks like PyTorch, Hugging Face, LangChain, or LlamaIndex.&nbsp;</li><li>Cloud Fluency: Proven ability to deploy models at scale using AWS SageMaker, Azure ML, or GCP Vertex AI.&nbsp;</li><li>MLOps Mindset: Experience with MLflow, Airflow, Docker, and Kubernetes to ensure our "bold innovations" are also stable and reliable.&nbsp;</li><li>Academic Foundation: A strong grasp of statistical analysis and evaluation techniques to mitigate hallucinations and ensure clinical accuracy.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, build, and maintain scalable backend systems using Ruby on Rails, ensuring reliability, performance, and an exceptional user experience.</li><li>Collaborate closely with Product and Design teams to translate customer needs into high-impact technical solutions, balancing simplicity with scalability.</li><li>Define and communicate clear technical specifications by breaking down complex requirements into actionable, well-structured implementation plans.</li><li>Uphold engineering excellence through test-driven development (TDD), comprehensive integration testing, and disciplined API design and management.</li><li>Optimize data storage and messaging systems, including PostgreSQL, NoSQL databases, and RabbitMQ, to ensure system efficiency and stability.</li><li>Mentor and support fellow engineers through pairing, knowledge sharing, and leading refactoring initiatives to continuously raise team-wide technical standards.</li></ul> Requirements: <ul><li>Technical Depth: A degree in Computer Science (or equivalent experience) and 3+ years of professional mastery in Ruby and its frameworks (Rails, Grape, or Sinatra).&nbsp;</li><li>A Quality Mindset: A strong TDD advocate who lives and breathes RSpec.&nbsp;</li><li>Systems Thinking: Deep experience with relational databases and message-driven architectures. You understand how parts of a system talk to one another.&nbsp;</li><li>Growth Mindset: A drive to learn and take ownership. You dont wait for permission to make things better.&nbsp;</li><li>Effective Communication: The ability to influence technical decisions and explain "the why" to both technical and non-technical stakeholders.</li></ul>

Responsibilities: 1. Execute Hiring Strategies <ul><li>Collaborate with Regional TA Manager, Business Leaders, HR partners, and Business teams to understand short- and long-term hiring needs.</li><li>Assist in developing and executing hiring plans, executing Global SLAs are aligned with the Business Goals</li><li>Stay informed about industry trends, market conditions, and emerging hiring practices &amp; tool</li></ul> 2. Talent Sourcing &amp; Pipeline Development <ul><li>Build and maintain a strong pipeline of candidates for various key roles such as NPD, NPI, PDE, MPDE and many more.</li><li>Assist the Regional TA Manager to develop and implement innovative hiring strategies using Market intelligence &amp; Talent Mapping tools.</li><li>Leverage a mix of sourcing channels: Internal/External career sites, social media Hiring such as LinkedIn, TikTok, Instagram, Facebook etc., Job Boards such as JobStreet, Monster</li><li>Familiar with hiring tools such as HireEz, ZoomInfo.&nbsp;Leverage employee referrals, and University hiring</li></ul> 3. Employer Branding &amp; Candidate Engagement <ul><li>Position the company as an employer of choice in the Engineering, Tech and manufacturing space.</li><li>Create content and campaigns targeting industry professional (e.g., webinars, blog posts, meetups, TechEvents)</li><li>Craft compelling job descriptions and recruitment materials tailored for manufacturing, Production and Engineering professionals</li></ul> 4. Full-Cycle Recruitment <ul><li>Deliver end-to-end recruitment: sourcing, screening, interviewing, offers &amp; compensation negotiation and onboarding</li><li>Collaborate with hiring managers to define role requirements and ideal candidate profiles.</li><li>Assist implement and monitor structured interview processes, including technical assessments</li></ul> 5. Stakeholder Management <ul><li>Act as the primary liaison between candidates and internal stakeholders</li><li>Provide regular hiring updates, metrics, and insights to leadership</li></ul> 6. Data-Driven Recruiting <ul><li>Use analytics to track sourcing effectiveness, time-to-hire, offer acceptance rates, and pipeline health.</li><li>Ensure Global Hiring Metrics, SLA and targets are aligned and achieved</li><li>Publish Daily / Weekly / Monthly / Qtrly reports on the efforts and progress</li><li>Optimize hiring funnel using recruitment metrics and KPI</li></ul> Requirements: <ul><li>Overall 8+ years of experience with Minimum of 5+ years from relevant industry</li><li>Preferably an Engineer of any discipline, but not mandatory (OR) Bachelor’s degree or higher in business administration or related field</li></ul>

Responsibilities: <ul><li>Ability to troubleshoot problems in a live environment and provide real time help with critical issues.</li><li>Write code that is easily understood and maintainable by other team members.</li><li>Keep up to date with developments in technologies we are using.</li><li>Ability to communicate and work effectively, supporting various business departments.</li><li>Ability to work in fast-paced interdisciplinary environment.</li></ul> Requirements <ul><li>BA/BS in Computer Science or equivalent practical experience.&nbsp;</li><li>At least 3+ years of post-university experience as a full-stack engineer.</li><li>Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.</li><li>Strong knowledge of Python.</li><li>Solid knowledge SQL and relational databases.</li><li>Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.</li><li>Experience working in a cloud environment (AWS, Azure, GCP).</li><li>Familiarity with popular Python data analytics frameworks.</li><li>Familiarity with Snowflake or other large analytics engines.</li><li>Experience with data warehousing and working in environments with large scale, complex analytics requirements.</li><li>Familiarity with DAG-based job scheduling tools.</li><li>Cloud-native container orchestration platforms and tools.</li><li>Experience working in the Financial Services industry.</li></ul>

Responsibilities: <ul><li>Manage the recruitment process end to end</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers</li><li>Verify job descriptions with the hiring manager and design interview questions that reflect the positions requirements and attract talents to the company</li><li>Determining selection criteria for the open positions, in line with the organizations-culture and strategy</li><li>Sourcing of potential candidates through different sourcing channels</li><li>Screening of potential candidates and planning interviews and assessments</li><li>Run regular updates to hiring managers</li><li>Engaging with Senior Stakeholders</li><li>Organize and lead feedback sessions and coordinate the hiring decision</li><li>Propose employment offers in line with the company guidelines</li><li>Ensure that the recruitment process is efficient, effective and equitable</li><li>Foster long-term relationships with candidates</li><li>Designed and implemented innovative TA strategies for effective candidate sourcing</li><li>Developed strategic staffing plans aligned with business priorities</li></ul> Requirements: <ul><li>Minimum 7 year’s experience in recruiting for manufacturing or niche hiring along with commercial hiring.</li><li>Must have experience in recruitment metrics and analytics</li><li>Able to perform as an individual contributor and be hands-on</li><li>Well versed in social media, resume databases and professional networks</li><li>Experience with headhunting for mid-level positions</li><li>Hands-on experience with full-cycle recruiting using interview techniques</li><li>Good interpersonal and influencing skills. Has the ability to engage senior stakeholders.</li><li>Has a strong passion and desire to make a difference</li><li>Growth mindset and learning agility</li><li>Should have a recognized Masters / Bachelors degree</li><li>Proficient MS Excel</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the design and development of complex Power Apps solutions (both canvas and model-driven) to meet advanced business requirements.</li><li>Architect and implement sophisticated Power Automate workflows (including child flows and RPA) that integrate with various systems and APIs.</li><li>Develop custom business logic and integrations (using advanced Power Fx, Azure Functions, custom connectors, etc.) to extend Power Platform capabilities.</li><li>Configure and optimize Microsoft Dataverse schemas, Azure SQL Tables. Manage data flows between Power Apps and external databases or ERP/CRM systems.</li><li>Ensure solutions are secure, scalable, and compliant with best practices (including governance, authentication, and data validation) .</li><li>Troubleshoot and resolve production issues and performance bottlenecks in Power Platform applications</li><li>Mentor junior developers and work closely with cross-functional teams (business analysts, IT, etc.) to support the full application lifecycle and drive continuous improvement.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Engineering, or a related technical field and 6 - 9 years of hands-on Power Platform development experience</li><li>Expert proficiency in Power Apps development (Canvas and Model-driven) including advanced Power Fx, component framework (PCF), and ALM practices</li><li>Extensive experience with Power Automate (cloud flows, UI flows) and proven ability to integrate Power Platform with other systems and services</li><li>Strong programming skills (JavaScript/TypeScript, C#, .NET, HTML) and experience with RESTful APIs and Azure development tools (Visual Studio, VS Code)</li><li>Experience with data modeling and database design (Microsoft Dataverse, SQL Server, Azure SQL)</li><li>Solid understanding of security and authentication (Azure AD) in the Power Platform context</li><li>Excellent problem-solving skills and the ability to translate business needs into technical solutions</li><li>Strong communication and collaboration skills for engaging with stakeholders and mentoring team members</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>

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9 databases Jobs found

Senior Machine Learning Engineer

Senior Data Scientist 2

Senior Software Engineer 2 (Ruby on Rails)

Talent Acquisition Coordinator

Associate Data Engineer

Talent Acquisition Specialist

Senior Machine Learning Engineer (Production & MLOps Focus)

Senior Application Developer - MS Power Apps

Senior Proactive Engineer

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9 databases Jobs found

Senior Machine Learning Engineer

Senior Data Scientist 2

Senior Software Engineer 2 (Ruby on Rails)

Talent Acquisition Coordinator

Associate Data Engineer

Talent Acquisition Specialist

Senior Machine Learning Engineer (Production & MLOps Focus)

Senior Application Developer - MS Power Apps

Senior Proactive Engineer

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

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