AI/ ML Engineer

Principal R&D/Product Development Engineer

Systems Engineer

Senior Digital Marketing Analyst/ABM Lead

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Senior Data Scientist

Consulting Azure Cloud Engineer

Solutions Engineer - Cloud and AI Networking

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>Serve as a system architect for compute and networking applications.</li><li>Interface directly with OEM and other key customers to understand systems and evolving requirements.</li><li>Identify potential disruptive technologies and integrate customer needs into forward-looking product strategies.</li><li>Develop high-level system architecture requirements aligned with industry trends and customer roadmaps.</li><li>Influence executive leadership and stakeholders to invest in innovative technologies and products.</li><li>Collaborate across a geographically dispersed systems architecture team to share knowledge and drive consistency.</li><li>Act as a subject matter expert in industry standards, contributing to participation and leadership in relevant bodies.</li><li>Lead high-value development projects across hardware and high-speed signaling domains.</li><li>Coordinate with internal engineering teams to ensure customer-centric and technically feasible solutions.</li><li>Communicate technical concepts clearly to a variety of audiences, from customers to cross-functional internal teams.</li></ul> Requirements: <ul><li>Bachelors degree in Electrical Engineering or Mechanical Engineering; dual degree or MBA is a plus.</li><li>Minimum 12 years of experience in compute and/or networking system design and related technologies.</li><li>Strong technical background in high-speed signaling and hardware design.</li><li>Familiarity with AI, compute, networking, and storage architectures.</li><li>Excellent interpersonal, analytical, and communication skills.</li><li>Proven ability to lead technical projects and collaborate across global teams.</li><li>Must be self-motivated and able to work with minimal supervision.</li><li>Willingness to travel 25%–30% of the time.</li><li>Must reside in the Austin, TX area.</li></ul>

Responsibilities: <ul><li>Respond, manage, and escalate (as needed) technical support requests via the ticketing system, telephone calls, and emails either directly or using remote support tools.</li><li>Responsible for supporting Business user end point devices (Laptops/desktops/Smart phones/Tablets /video conferencing services) either directly or using remote support tools on as-needed basis.</li><li>Ensure compliance of regulatory requirements including cGMP standards and site-specific SOPs when completing assigned functional activities.</li><li>Manage and maintain analytical laboratory and computerized manufacturing control systems in a GMP environment according to established regulatory requirements.</li><li>Perform L1 tasks on Server, Network and Telecom Infrastructure in USA &amp; Canada as needed.</li><li>Assist Core teams in performing L1 troubleshooting tasks on Security tools, technologies &amp; platforms like Crowdstrike, Zscaler, Zero Trust, Privileged access management.</li><li>Maintain inventories of endpoint devices, GMP assets and applications.</li><li>Ensure 100% compliance with the GMP Policies and Procedures.</li></ul> Operations: <ul><li>Handle day to day end user support tickets. Provides IT support to VIP users.</li><li>Work with central IT teams to resolve issues reported via helpdesk system.</li><li>Owns end-to-end responsibility for resolving issues in a timely manner.</li><li>Provides updates on Infrastructure health and corrective/preventive actions.</li><li>Maintains an up-to-date inventory of endpoint devices, servers, GMP assets, OT devices and Network devices.</li><li>Flexible to work in a multi-shift operation environment.&nbsp;</li><li>Can be onsite on need basis to assist during any crisis in off-business hours.</li><li>Ensure site IT SOPs are updated and supports site QA and CSV on GMP tasks.</li></ul> Requirements: Education Qualifications:&nbsp; <ul><li>Bachelor’s degree (IT) or similar Desired Certifications.</li><li>Certifications (preferred) – Current JNCIE-ENT, JNCIE, or CCIE certification/ CCNP, CEH, CISSP, MCSA etc.</li></ul> Experience Required: <ul><li>3 – 5 years’ experience working in a GMP compliant pharmaceutical laboratory/manufacturing environment.</li><li>Working Knowledge of Cisco, Juniper, Aruba Technologies &amp; Architectures (examples- Cloud &amp; Cloud Security, Networking- Network Segmentation, Patching, Next-Gen AV, Avaya VOIP, Teams based Conferencing systems)</li><li>Experience managing and maintaining servers, LAN, IP Phone and WAN systems; Switches/ Routers/ Access Points, VPNs; Knowledge of IT-OT Network Segregation.</li><li>Working knowledge of networking concepts such as Routing, Switching, VLANs, VPNs, DHCP and DNS.</li><li>Hands-on experience with Windows 10/11, Microsoft Office tools, common business applications, digital signing applications, Adobe software, Apple devices and L1 knowledge of Windows Server operating systems, Virtualization Hypervisors like VMWare and Wireless Networking devices like Aruba/HPE.</li><li>Has good knowledge for troubleshooting Microsoft 365 and Microsoft Teams rooms (conferencing systems)</li><li>Oversee and ensure timely repair/replacement of faulty hardware including endpoint devices, network hardware and appliances.</li><li>Well versed on GMP Infrastructure and Applications used in Manufacturing and Laboratories.</li><li>Well versed with GMP Procedures</li></ul>

Responsibilities: <ul><li>Develop ABM strategies and plans to drive awareness and engagement within target markets, delivering superior user experience to key customers.</li><li>Design &amp; implement tailored campaigns (email, social, content, paid ads) for targeted accounts.</li><li>Develop account-specific playbooks and messaging frameworks aligned with buyer journeys.</li><li>Partner with cross-functional (Sales, PM, Engineering) teams to ensure alignment between ABM/digital efforts and sales goals.</li><li>Deliver ABM insights actionable for online &amp; offline customer interactions based on an in-depth understanding of business and customer needs.</li><li>Manage website experience relevant to target customers and identify opportunities to improve navigation &amp; personalization experience for target customers.</li><li>Optimize workflows and tools (e.g., CRM integrations, automation platforms) to streamline ABM processes.</li><li>Stay ahead of ABM trends and emerging technologies, such as AI-driven personalization and predictive analytics.</li><li>Make recommendations on digital and ABM capabilities to enable the business unit to deliver an optimized and personalized customer experience across all channels.</li></ul> Requirements: Background &amp; Qualifications: <ul><li>Bachelor’s degree required.</li><li>Experience in digital marketing, including experience in Account-Based Marketing (ABM) within the B2B/SaaS, technology, or infrastructure industries (preferably in AI, cloud, data center companies, or ABM environments).</li><li>Experience with the whole process of an ABM/digital program from strategy, planning, execution, monitoring, measurement, and optimization.</li><li>Proficient in ABM platforms, CRM systems, data analysis (Adobe Analytics, Google Analytics), content publishing (AEM), and search and social media (Google Ads, LinkedIn, YouTube, Facebook, etc.). Proficient in MS Office.</li><li>Self-driven candidate who anticipates challenges, identifies opportunities for improvement, and initiates cross-functional partnerships to achieve goals without direct oversight.</li><li>Strong data-driven decision-making mindset, with expertise in understanding enterprise buyer cycles, account scoring, and lead nurturing.</li><li>Clear storyteller able to translate data into actionable recommendations for cross-functional tea</li><li>Strong project management skills.</li><li>Good understanding of B2B customer journey, with customer-centric mindset.</li><li>Excellent interpersonal, organizational, and leadership skills.</li><li>Experience with website design, ABM/Personalized experience preferred.</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>

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>

Responsibilities: <ul><li>Design and implement infrastructure solutions using Azure OpenAI, Azure Front Door, and APIM to support Cognitive Services.</li><li>Collaborate with cross-functional teams to integrate AI capabilities into existing and new applications.</li><li>Optimize and manage the performance, scalability, and security of AI infrastructure.</li><li>Develop and maintain documentation for infrastructure design, configuration, and best practices.</li><li>Troubleshoot and resolve complex technical issues related to AI infrastructure.</li><li>Work on cloud infrastructure to ensure seamless deployment and operation of the AI platform.</li><li>Stay updated with the latest advancements in Azure services and AI technologies to ensure the infrastructure remains cutting-edge.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li></ul> Requirements: <ul><li>Software Engineering experience.</li><li>BS Engineering/Computer Science or equivalent experience required; advanced degree preferred.</li><li>Bachelor’s degree in engineering, related field, or equivalent of experience.</li><li>Proven experience in designing and managing Azure-based infrastructure, specifically with Azure OpenAI, Front Door, and APIM.</li><li>Strong understanding of Cognitive Services and AI/ML concepts.</li><li>Proficiency in scripting and automation using tools such as PowerShell, Azure CLI, or similar.</li><li>Excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>Strong communication skills and the ability to collaborate effectively with diverse teams.</li><li>Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer) are a plus.</li></ul>

Responisbilities: <ul><li>Provide technical and sales support for accounts in assigned territory.&nbsp;</li><li>perform technical presentations for customers, partners and prospects.</li><li>Collaborate with customers to understand their business needs and technical requirements.</li><li>Design end-to-end network solutions that leverage cloud services and AI technologies to meet customer objectives</li><li>Design/implementation mentorship to one customer in a dedicated manner.&nbsp;</li><li>Ensure smooth integration of networking components with existing infrastructure.</li><li>This solutions engineer role provides a sophisticated architectural perspective across the company architecture portfolios, including software and services, of the broad company portfolio as well as his / her technical specializations as needed.</li><li>He / She collaborates with the rest of the sales ecosystem on strategic and complex opportunities and coordinates additional resources (e.g. consulting specialists, demo labs, etc.) to recommend, develop, and propose appropriate customer solution and services offerings.&nbsp;</li><li>The account team and customer allowing the systems engineer to identify company solution opportunities aligned to the customers business goals.</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent</li><li>8-12 years field Pre sales experience as a systems engineer/solutions architect or equivalent</li><li>product experience , pre-sales experience required.</li><li>Knowledge and strong operating experience in following areas of specialization: Compute hardware, HCI, Storage, backup, virtualization.</li><li>In-depth knowledge on Datacenter solutions like SDN, SDS, and compute hardware.</li><li>Knowledge of relevant solutions sets, product line specifications, performance criteria and applications.</li><li>Pro-active self-starter and innovator</li><li>Networking and relationship building skills</li><li>Phenomenal teammate</li><li>Consistent track record to focus and achieve goals</li><li>Perform daily with the highest degree of integrity</li><li>Excellent written and verbal communication, listening, negotiation and presentation skills.</li></ul> Desired skills: <ul><li>Formulate and communicate a solution / vision</li><li>Experience working with and handling large or small enterprises and public-sector organizations.</li></ul>

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20 gen ai Jobs found

AI/ ML Engineer

Principal R&D/Product Development Engineer

Systems Engineer

Senior Digital Marketing Analyst/ABM Lead

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Senior Data Scientist

Consulting Azure Cloud Engineer

Solutions Engineer - Cloud and AI Networking

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Skills

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20 gen ai Jobs found

AI/ ML Engineer

Principal R&D/Product Development Engineer

Systems Engineer

Senior Digital Marketing Analyst/ABM Lead

Senior Manager Data Science

Solutions Engineer - AI Infrastructure

Senior Data Scientist II

Senior Data Scientist

Consulting Azure Cloud Engineer

Solutions Engineer - Cloud and AI Networking

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.