Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Assistant Regional Brand Manager

Senior AI Engineer

Sales Manager

DevSecOps Engineer

Lead DevSecOps Engineer

Full Stack Engineer

Associate Consultant

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</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>

Role Description: <ul><li>The role drives Continuous Improvement initiatives (our client transformations) to support plant strategy, enhance operational excellence, and deliver measurable improvements in efficiency, quality, and cost savings.</li><li>The analyst will mentor practitioners, facilitate Kaizen, lead value stream projects, and embed lean practices across the site.</li></ul> Responsibilities <ul><li>Drive our client deployment, critical project reviews, and KPI tracking.</li><li>Mentor and coach Kaizen facilitators and site practitioners.</li><li>Lead value stream mapping, implement lean inventory systems (Kanban, JIT, supermarkets, two-bin).</li><li>Facilitate site-wide Kaizen events and track closure of action plans.</li><li>Provide training on our client foundations, lean tools, and digital factory usage.</li><li>Report site-level performance against strategy deployment targets and star assessment levels.</li><li>Collaborate with supply chain and operations to reduce WIP, improve flow, and sustain CI culture.</li></ul> Requirements <ul><li>BE/B.Tech (Mechanical/Production/Automotive).</li><li>8–10 years of hands-on experience in the Automotive industry.</li><li>Strong knowledge and application of Lean tools &amp; methodologies.</li><li>Six Sigma Green Belt certification(Pref).</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to coach across shop floor to senior management.</li><li>Adaptability and resilience in dynamic CI environments.</li></ul>

Responsibilities: <ul><li>Support the Portfolio Manager for category &amp; brand planning, grounded in consumer and customer insights.</li><li>Support the deployment of Brand Marketing Campaigns (ATL/BTL or Through-the-line Campaign Management) for key markets with full ownership &amp; leadership from campaign planning to post launch evaluation, working closely with external marketing agencies &amp; partners.&nbsp;</li><li>Support and manage innovation projects (relaunch/ NPD) including size of opportunity projection, understanding P&amp;L and compliance checking, leading &amp; working closely with innovation project team for assigned category.&nbsp;</li><li>Develop the Selling Story for new product &amp; campaign based on consumer &amp; market insight, working closely with commercial sales &amp; consumer insight team</li><li>Conduct customer research including product testing and consumer insight session for new products/ relaunch with distributor team and focus consumer groups&nbsp;</li><li>Actively recommend solutions and implement improvements for day-to-day operations with functional stakeholders internally &amp; externally&nbsp;</li><li>Plan &amp; Monitor marketing budget for key activities&nbsp;</li></ul> Requirements: <ul><li>Education Background: Preferably from marketing/ business management background&nbsp;</li><li>Education Level: Bachelor’s Degree minimum, master’s degree would be a plus</li><li>Working Experience:</li><li>3-5 or more years of experience in brand/product management/marketing (FMCG) or experience in categories related to food products, meals or infant will be a plus.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: Key Activities:&nbsp; <ul><li>Selling products by establishing contact and developing relationships with prospects.</li><li>Comprehensive understanding of customers’ market dynamics, segments and trends.</li><li>Engage with our Key Accounts at all levels.</li><li>New business lead generation.</li><li>Business prospecting and targeting.</li><li>Identification of new opportunities to deliver revenue and profitability growth.</li><li>Manage Sales process from enquiry through qualification to order completion.</li><li>Build strong and long-lasting customer relationships and understand their needs.</li><li>Management of sales pipeline through Opportunity Pipeline Tracker.</li><li>Support global commercial teams on deployment of regional, key account management strategies.</li></ul> Sales Planning and Market Development&nbsp; Key Activities:&nbsp; <ul><li>Develop and implement sales plan.</li><li>Effective customer preparation.</li><li>Delivery of market segmentation matrix.</li><li>Pitching relevant products to customers.</li><li>Support customer forecasting process with other sites.</li><li>Drive new products/solutions with innovation team from the market insights and customer needs gathered.</li><li>Attendance of Regional Sales meetings.</li></ul> Performance Management&nbsp; Key Activities:&nbsp; <ul><li>Continuous review of market performance versus the annual plan with creation of action plans to address areas of under-performance, driving new activity.</li><li>Market trend analysis and competitor activities within the region.</li><li>Pro-actively act from “Voice of the Customer” survey.</li><li>Tracking performance through Salesforce.com.</li></ul> KPI’s: Market sales and profitability versus plan and prior year. Customer feedback from VOC survey. Sales pipeline conversion rate. Sales growth&nbsp; Requirements: <ul><li>Degree (Accounting, Engineering, Business and Marketing majors strongly encouraged).</li><li>5-7 years of experiences in the relevant industries.</li><li>Experience in ERP systems (e.g. IBM Cognos), database management and advanced Excel / Access user</li><li>Strong analytical skills with attention to details.</li><li>Energetic self-starter possessing self-confidence and maturity</li><li>Excellent presentation skills.</li><li>Excellent verbal, writing and listening skills.</li><li>Strong negotiation skills to close deals under time and pressure.</li><li>Passion for sales and business growth Project management skills.</li><li>Highly self-motivated, ambitious, resourceful and driven.</li><li>Capable of working under pressure.</li><li>Strong sense of prioritization with the ability to quickly move from one task to another.</li><li>A flair for innovative business proposals.</li><li>Good understanding of business processes, including sales, supply chain and customer service.&nbsp;</li></ul>

Responsibilities: <ul><li>﻿Support and maintain Kubernetes environments.</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications. </li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions. </li><li>Automate processes and tasks to improve efficiency and scalability. </li><li>Provide technical support and assistance to the development team. </li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security. </li><li>Timely respond to incidents. </li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory requirements. </li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members.</li></ul> Requirements: <ul><li>6+ years of hands-on experience in DevSecOps or a similar role.</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of IaC approach, testing techniques and strong hands-on experience with infrastructure management tools such as Terraform.</li><li>Good understanding of Configuration Management and hands-on experience with CM tools such as Ansible.</li><li>Strong understanding of networking concepts, including the OSI model (protocols, etc.).</li><li>Expertise in system administration for both Linux and Windows environments.</li><li>Ability to comprehend the objectives of a task, propose and advocate for solutions, and successfully implement them.</li></ul>

Responsibilities: <ul><li>Contribute to Infrastructure as a Code</li><li>Support and maintain Kubernetes environments</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications.</li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions.</li><li>Automate processes and tasks to improve efficiency and scalability.</li><li>Provide technical support and assistance to the development team.</li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security.</li><li>Timely respond to incidents.</li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory&nbsp;</li><li>requirements.</li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members</li><li>Develop and maintain system documentation</li><li>Stay up-to-date with the latest trends, technologies, and best practices in DevSecOps and cybersecurity</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Security, or a related field.</li><li>6+ years of hands-on experience in DevSecOps or a similar role. (8+ years total)</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of containerization technologies and strong hands-on experience with Docker and Kubernetes.</li><li>Confident knowledge of IaC approach, testing techniques and strong handson experience with infrastructure management tools such as Terraform.</li><li>Good understanding of modern monitoring tools and practice</li></ul>

Responsibilities: <ul><li>Design, develop, test, and deploy smart contracts using Solidity (bonus for Rustbased smart contracts).</li><li>Build and maintain frontend applications using Next.js, React, TypeScript, Wagmi, and Viem.</li><li>Develop and manage backend services, including REST APIs, using Node.js, Rust, or other modern frameworks.</li><li>Implement and maintain subgraphs and substreams (The Graph) for on-chain data indexing and querying.</li><li>Write and maintain scripts (JavaScript, Bash, etc.) for automation, tooling, and DevOps tasks.</li><li>Contribute to and maintain infrastructure using Docker, Kubernetes, and CI/CD pipelines.</li><li>Collaborate with cross-functional teams to define, design, and ship new features and systems.</li><li>Participate in code reviews, testing, and documentation to ensure high-quality software.</li><li>Stay current with the latest developments in Web3, blockchain, and infrastructure tooling</li></ul> Requirements: <ul><li>Minimum of 5+ years of experience in software development across the stack.</li><li>Bachelors degree preferred or equivalent experience</li><li>2+ years of experience with Solidity and smart contract development.</li></ul>

Role Description: <ul><li>We are looking for Associate Consultants to join a major Platform Operations workstream in Bangalore.</li><li>The focus will be on enabling and assisting the Customer Platform Operations team to manage and operate a newly deployed Red Hat OpenShift Virtualization (OCP Virt) platform in a production environment.</li><li>The consultants will be embedded in the Platform Operation Track, working side-by-side with the customer team to provide operational support, knowledge transfer, and daily assistance with Day 2 tasks.</li></ul> Responsibilities:&nbsp; <ul><li>Support the deployment, operation, and management of the Red Hat OpenShift Virtualization platform in production.</li><li>Assist the Customer Ops team with daily operational tasks and troubleshooting.</li><li>Enable the Ops team to: o Resolve minor issues independently (requiring strong OCP/OCP Virt knowledge).</li><li>Correctly identify significant issues and escalate support cases with the necessary details for fast resolution.</li><li>Share best practices, operational guidelines, and documentation to strengthen the Ops team’s capabilities.</li><li>Contribute to the long-term stability and scalability of the platform.</li></ul> Requirements: Required Skills &amp; Experience&nbsp; <ul><li>Strong, hands-on experience with Red Hat OpenShift and OpenShift Virtualization (OCP Virt).</li><li>Good understanding of containerized environments, Kubernetes, and platform operations.</li><li>Ability to provide operational support and knowledge transfer to customer teams.</li><li>Strong problem-solving skills and familiarity with Day 2 operational tasks.</li><li>Good communication skills to work effectively in customer-facing, collaborative environments.</li></ul>

Skills

Industry

Location

Jobtitle

34 deployment Jobs found

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Assistant Regional Brand Manager

Senior AI Engineer

Sales Manager

DevSecOps Engineer

Lead DevSecOps Engineer

Full Stack Engineer

Associate Consultant

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

34 deployment Jobs found

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Continuous Improvement Analyst III

Assistant Regional Brand Manager

Senior AI Engineer

Sales Manager

DevSecOps Engineer

Lead DevSecOps Engineer

Full Stack Engineer

Associate Consultant

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.