Senior Machine Learning Engineer

New Business Specialist

TA Specialist

Principal Data Scientist

Signal Integrity Staff Engineer

Sr. Solution Account Manager Data Center

Principal HANA Database Administrator

Senior Data Scientist 2

Senior Software Engineer 1

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>Driving new business and uncovering new opportunities.</li><li>Building authentic, value-based relationships with clients.</li><li>Using our sales methodology to guide the full sales cycle.</li><li>Collaborating closely with a high-performing, supportive team.</li><li>Leading client meetings, demos, and solution presentations.</li><li>Negotiating deals and getting creative with proposals.</li><li>Contributing ideas, energy, and momentum to a fast-moving sales team.</li></ul> Requirements: <ul><li>3+ years of B2B sales experience.</li><li>Industry background in Legal, Compliance, Professional, Corporate or related areas (Preferred).</li><li>Software sales or SAAS background (Preferred).</li><li>Proven experience smashing BDM targets, ideally in the compliance or legal tech space.</li><li>A strong track record managing full sales cycles end to end.</li><li>Top-tier presentation and communication skills.</li><li>Confidence engaging with C-level stakeholders in a consultative manner.</li><li>Solid CRM skills (Salesforce knowledge = bonus points).</li></ul>

Responsibilities: Executing Hiring Strategies <ul><li>Collaborate with business leaders, HR partners, and Business teams to understand short- and long-term hiring needs.</li><li>Develop hiring plans, agreed 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> 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>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> 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> Full-Cycle Recruitment <ul><li>Manage 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>Implement structured interview processes, including technical assessments</li></ul> 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> 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>Role based in Bangkok, visit Bangkok office (Corp office) and Chachoengsao (Automotive plant )- visit 1-2 times a week, travel allowance will be provided to go to plant</li><li>Min 3 years experience in recruitment.</li><li>Should be hands on recruiting Engineering, Manufacturing &amp; Production roles</li><li>NO visa sponsorship / relocation for this role</li></ul>

Responsibilities: 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> 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> 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> 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> 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> 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>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Responsibilities: Test System Development: <ul><li>Provide hardware and software integration support for high-speed tester and function tester.</li><li>Optimize the testing system to improve the production efficiency.</li><li>Research potential products opportunities and conduct feasibility analysis and provide feedback to supervisor in order to meet business development requirements.</li></ul> Testing Result Data Statistic Analysis: <ul><li>Develop software for automation data process and trend analysis in order to provide accurate reports to meet customers requirement.</li></ul> EEPROM Programming System Support: <ul><li>Add new feature for the Nimshi software per the production requirement;</li><li>Support for new station setup and software update</li><li>Review new product EEPROM setup and work with PDE for issue solution in order to meet business development requirements.</li></ul> Electrical Testing Setup: <ul><li>Support for new product electrical testing setup and related failure analysis to meet business development requirements.</li></ul> People Training: <ul><li>Conduct trainings and deliver testing methods and software automation usage to engineer/technician for work efficiency improvement in order to improve team college skills.</li></ul> Testing Standard Review and Update: <ul><li>Review the initial setup for Bulk cable and cable assembly test standard limit; Update the EEPROM check script when new revision released to meet business development requirements.</li></ul> Laboratory Equipment Operation Methods and TPM: <ul><li>Review laboratory equipment operation methods and monitor high speed testing equipment operation in order to improve laboratory Equipment Operation efficiency.</li></ul> Requirements: <ul><li>Bachelor Degree in Electronic technology and science application major</li><li>Direct experience in product testing&nbsp;</li><li>Must have experience in Vector Network Analyzer (VNA) and Time Domain Reflectometry (TDR) or similar</li><li>5 years high speed testing working experience</li></ul>

Responsibilities: <ul><li>Secure sales volume to meet or exceed the sales budget in the data centre vertical.&nbsp;</li><li>Spec-in company solution through active engagement with a consultant, EPC’s &amp; SI’s.&nbsp;</li><li>Provide quote and application solutions to potential customers with timely and high-quality service.&nbsp;</li><li>Manage and improve sales funnel/CRM with a good win ratio. Develop monthly sales forecasts.&nbsp;</li><li>Initiate a weekly plan for specified verticals or territories.&nbsp;&nbsp;</li><li>Educate and engage customers with new products/solutions/programs.</li><li>Effectively manage existing and new accounts to consistently improve market share in India.&nbsp;</li></ul> Requirements: <ul><li>Education – Degree in Electronics/Electrical/Computer Science Engineering with a minimum of 8-12 years of experience in related technical sales.&nbsp;&nbsp;</li><li>Markets – Should have experience in building Data Centres in new makets.&nbsp;</li><li>Familiar with structure cable and connectivity products.&nbsp;&nbsp;</li><li>Customers Define our Success – Results-oriented with a process mindset.&nbsp;</li><li>Excellent interpersonal and communication skills with strong ownership.&nbsp;</li><li>Willing to dedicate extra time and travel to meet objectives.&nbsp;&nbsp;</li></ul>

Role Description: <ul><li>The Principal HANA Database Administrator will serve as the organization’s top technical authority for SAP HANA database environments.</li><li>This role is responsible for designing, implementing, and optimizing large-scale HANA systems to ensure high availability, security, and performance.</li><li>The individual will lead strategic initiatives, mentor team members, and collaborate with cross-functional teams to support mission-critical enterprise applications.</li></ul> Responsibilities: Architecture &amp; Strategy <ul><li>Define enterprise-level SAP HANA architecture and standards.</li><li>Develop strategies for scalability, high availability, disaster recovery, and security compliance.</li></ul> Database Administration <ul><li>Install, configure, and upgrade SAP HANA systems.</li><li>Perform advanced performance tuning, query optimization, and memory management.</li><li>Monitor system health and proactively resolve issues.</li></ul> Data Management <ul><li>Manage data provisioning, replication, and integration with SAP and non-SAP systems.</li><li>Ensure compliance with data governance and security standards.</li></ul> Leadership <ul><li>Act as a subject matter expert for SAP HANA across the organization.</li><li>Mentor junior DBAs and provide technical guidance to project teams.</li><li>Drive automation and best practices for database operations.</li></ul> Innovation <ul><li>Evaluate emerging technologies and recommend enhancements.</li><li>Lead initiatives to improve efficiency and reduce operational risk.</li></ul> Requirements: Education: <ul><li>Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.</li></ul> Experience: <ul><li>10+ years of database administration experience, with at least 5 years in SAP HANA.</li><li>Proven track record managing large-scale, mission-critical HANA environments.</li></ul> Technical Skills: <ul><li>Expertise in SAP HANA architecture, sizing, and performance tuning.</li><li>Strong knowledge of Linux OS, virtualization, and cloud platforms (AWS, Azure, GCP).</li><li>Familiarity with SAP Basis and integration with S/4HANA, BW/4HANA.</li></ul> Certifications: <ul><li>SAP Certified Technology Specialist – SAP HANA.</li><li>Additional certifications in cloud or database technologies preferred.</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:&nbsp; <ul><li>Architect, design, build, and maintain high-impact software systems that align with business objectives and uphold technical excellence.</li><li>Own end-to-end delivery of outcomes, ensuring solutions meet functional and non-functional requirements; proactively adapt strategy and execution when results diverge from goals.</li><li>Collaborate with senior engineers and cross-functional partners across global teams to drive a cohesive and scalable technical strategy.</li><li>Establish and champion engineering best practices, operational efficiencies, and technical standards to elevate the overall quality and effectiveness of the organization.</li><li>Lead, mentor, and support engineers through thoughtful design discussions, rigorous code reviews, and targeted coaching to promote continuous improvement and growth.</li></ul> Requirements: <ul><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Experience: 6+ years of software development experience, with a proven track record of technical leadership.&nbsp;</li><li>Tech Stack Mastery: Exceptional skills in Java, Spring Boot, SQL, and RESTful services.&nbsp;</li><li>Cloud Proficiency: Hands-on experience with public cloud services, preferably AWS.&nbsp;</li><li>Communication: Exceptional ability to collaborate across functional lines and with global, cross-geo teams.&nbsp;</li></ul>

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76 space science Jobs found

Senior Machine Learning Engineer

New Business Specialist

TA Specialist

TA Specialist

Principal Data Scientist

Signal Integrity Staff Engineer

Sr. Solution Account Manager Data Center

Principal HANA Database Administrator

Senior Data Scientist 2

Senior Software Engineer 1

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76 space science Jobs found

Senior Machine Learning Engineer

New Business Specialist

TA Specialist

TA Specialist

Principal Data Scientist

Signal Integrity Staff Engineer

Sr. Solution Account Manager Data Center

Principal HANA Database Administrator

Senior Data Scientist 2

Senior Software Engineer 1

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.