AI & Analytics Workload Specialist Job at Hewlett Packard Enterprise (Bangalore)

Hpc/ai solution architect

As part of the APAC/India HPC/AI group, your role will be to define, architect, ...

Location

Singapore , Central Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering or from a technical university
+7 years of experience in the technology industry with a focus on technical consulting and solution selling
HPC/AI-related experience preferred
Presales experience preferred
Deep understanding of AI infra technologies and AI workload
Demonstrates expert technical skills in assigned area of specialization
Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products, and strategies within the area of responsibility
Expert level written and verbal communication skills and mastery over English and local language
Demonstrates expert consultative selling techniques, including active listening, framing, whiteboarding, storytelling, etc.
Advanced experience with using social media, blogging, and related information-sharing technologies

Job Responsibility

HPC/AI Presales tasks as a team member of the APAC/India HPC/AI Presales team
Solution architecting, system configuration, technical consulting, presentation delivery, and sales support for general AI and HPC area
Participates in deep-dive discussions and evaluates customers' current business needs and desired end-state infrastructure solutions to translate the technical view into the implementation view and determine implementation steps necessary to meet complex technical requirements
Delivers in-depth comparative analysis of alternative proposals to meet complex technical solution requirements
Maintains excellent communication with customers, with a key focus on IT managers, administrators, and specialists
Uses pipeline insights to prioritize high-potential deal pursuit activities with appropriate resource investment
Communicates to the account team the tangible offer value regarding financial return and achievement of business goals
Provides direction and guidance to improve processes and establish policies
Works with partners to identify gaps and address needs to accelerate channel business
Assesses the impact of new technologies on the company's technical solution portfolio and translates this understanding into practice and knowledge-sharing activities for broader presales peers, account managers, and partners

What we offer

Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
Programs for personal and professional development
Inclusive work environment celebrating individual uniqueness

Fulltime

New

Specialist, Data & AI (Lead Data Analyst)

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

7+ years of data analytics experience in a large company
Experience leading a technical team
A relevant University degree/technical certification, and relevant experience commensurate to the role
Experience on cloud solutions (AWS, Azzure…), data vault approach and Datawarehouse (Snowflake)
Experience with the following technologies Databricks, Snowflake, ADF and Talend
Proficiency in at least one modern programming language such as Python, SQL for querying databases
Deep understanding of big data challenges and ecosystems
Ability to work effectively under pressure and in rapidly changing environments or uncertain conditions
Ability to act as a leader for a data analysts’ team, facing architects, data modelers, and the different IT and business stakeholders
Ability and willingness to learn new tools and technologies

Job Responsibility

Review the Data Requirement Document to ensure data requirements are clear and detailed. Understand and clarify both functional (FR) and non-functional (NFR) requirements (Data specific)
Evaluate the data requirements for user stories and gather the necessary data points
Review the Data Ingestion Specification to confirm that the source data meets all essential criteria
Develop innovative and effective approaches to solve business problems through data analytics approaches and communicate results and methodologies
Conduct preliminary data analysis and identify critical data gaps or risks whenever possible. Provide analysis result and clearly document risks, assumptions, etc
Provide the appropriate data mapping for the ETL specifications (STTM) and a centralized data lineage document for all data assets
Collaboratively co-own the development of data models by working in close partnership with the designated data modeler. Together, ensure that models align with data requirements and support intended analytical outcomes. Jointly provide and receive insights, constructive feedback, and clarification on requirements, data sources, data quality, business context, and any technical constraints—fostering a shared responsibility for delivering robust, actionable data solutions
Perform a comprehensive evaluation, grant approvals for STTM documents and ensure data governance is implemented (data dictionary and PI identification)
Advise on test case recommendations and provide final approval for development validation processes
Initiate data analysis and identify strategic opportunities that creates a positive impact on business

GTM Specialist

Location

Egypt

Salary:

Not provided

Dakahlia Group

Expiration Date

Until further notice

Requirements

At least 5+ years in technical sales and business development, preferably in a technology-focused role
Bachelor's degree in Business Informatics, Computer Science, or a related field
A natural enthusiasm for digital transformation and emerging technologies
Eagerness to continuously learn about the latest trends and technological advancements to stay ahead of customers and market needs
Familiarity with technology partner ecosystems, workloads, and product updates. Knowledge of advanced technologies like AI, Data Analytics, Sustainability Management, Apps Modernization, and App Development
Exceptional presentation and interpersonal skills to influence stakeholders and partners
Ability to craft GTM strategies that align with market needs and drive business growth
Proven ability to work with cross-functional teams, including sales, presales, marketing, and technical delivery
A self-starter attitude with the ability to initiate and lead new business opportunities and strategies

Job Responsibility

Technology Partner Relationship Management: Establish and maintain strong relationships with key stakeholders within technology partner organizations
Conduct regular sync meetings with partner teams to explore lead generation opportunities, track pipeline progress, and brainstorm GTM strategies
Educate partners on our products and accelerators that drive cloud and license consumption, aligning their value propositions with our offerings
Lead Generation and Nurturing: Collaborate with partners to identify and generate new business opportunities
Nurture leads through presentations, product demonstrations, and Proof of Concepts (PoCs), ensuring their qualification for handover to the accounts team
Maintain visibility over opportunities post-handover, providing follow-up support to ensure deal closure
Develop an awareness of technology partner presales incentive and funds programs and leverage them effectively to maximize ROI during the business development phase
Market Awareness and Positioning: Stay updated on partner workloads, product features, and new releases
Conduct market research to understand competitor offerings in Data Analytics, AI, Sustainability Management, Apps Modernization, and App Development
Devise creative strategies to position our offerings uniquely and address market gaps

Fulltime

Solutions Architect

As a Solution Architect in the Field Engineering team, you will span both techni...

Location

Australia

Salary:

Not provided

Vercel

Expiration Date

Until further notice

Requirements

Significant experience in a customer‑facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms
Strong hands‑on skills with JavaScript/TypeScript and modern web frameworks, ideally including Next.js
Understanding of web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows
Comfortable discussing business outcomes with executives and implementation details with developers
Track record of owning complex technical projects, juggling multiple stakeholders, and delivering on time in fast‑moving environments
Thrives in collaborative field teams, enjoys mentoring others, and values clear, concise communication and documentation
Familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures
Empathy for developers and a passion for great developer experience
Bonus if you have experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK
Bonus if you have production experience deploying and operating Next.js or other modern frontend frameworks on Vercel or similar platforms

Job Responsibility

Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities
Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics)
Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel’s value and differentiate our platform
Own and run proofs of concept and pilots end‑to‑end: define success criteria, guide implementation, remove technical blockers, and ensure executive‑level outcomes are documented
Act as lead architect post‑sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices for building and operating on Vercel
Proactively engage with customers on performance, reliability, and cost optimization, using metrics like Core Web Vitals, Lighthouse, and observability data to drive continuous improvement
Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns that scale across customers and regions
Respond to and coordinate security, compliance, and architecture reviews, partnering with internal specialists on areas like data protection and regulatory requirements
Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps as the technical Voice of the Customer
Contribute to internal enablement and external content (reference architectures, example repos, talks, and blog posts) that help developers be successful on Vercel

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

Solutions Architect

As a Solution Architect in the Field Engineering team, you will span both techni...

Location

Germany; United Kingdom , Berlin; London

Salary:

Not provided

Vercel

Expiration Date

Until further notice

Requirements

Significant experience in a customer‑facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms
Strong hands‑on skills with JavaScript/TypeScript and modern web frameworks, ideally including Next.js
Understanding of web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows
Comfortable discussing business outcomes with executives and implementation details with developers
Track record of owning complex technical projects, juggling multiple stakeholders, and delivering on time in fast‑moving environments
Thrive in collaborative field teams, enjoy mentoring others, and value clear, concise communication and documentation
Familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures
Empathy for developers and a passion for great developer experience
Bonus if you have experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK
Bonus if you have production experience deploying and operating Next.js or other modern frontend frameworks on Vercel or similar platforms

Job Responsibility

Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities
Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics)
Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel’s value and differentiate our platform
Own and run proofs of concept and pilots end‑to‑end: define success criteria, guide implementation, remove technical blockers, and ensure executive‑level outcomes are documented
Act as lead architect post‑sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices for building and operating on Vercel
Proactively engage with customers on performance, reliability, and cost optimization, using metrics like Core Web Vitals, Lighthouse, and observability data to drive continuous improvement
Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns that scale across customers and regions
Respond to and coordinate security, compliance, and architecture reviews, partnering with internal specialists on areas like data protection and regulatory requirements
Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps as the technical Voice of the Customer
Contribute to internal enablement and external content (reference architectures, example repos, talks, and blog posts) that help developers be successful on Vercel

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

New

AI Solutions Engineer

The AI Solutions Engineer at NTT DATA is responsible for developing and deployin...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Job Responsibility

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices

What we offer

Workplace embraces diversity and inclusion
A place where you can grow, belong and thrive

Fulltime

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

9+ years of experience in a Data science role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
Good team worker with excellent interpersonal, written, verbal and presentation skills
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management

Job Responsibility

Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Work with data and analytics specialists to strive for greater functionality in our data systems
Identify trends, patterns from dataset to scope opportunities for automation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Senior Data Scientist

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

9+ years of experience in a Data science role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
Good team worker with excellent interpersonal, written, verbal and presentation skills
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management

Job Responsibility

Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Work with data and analytics specialists to strive for greater functionality in our data systems
Identify trends, patterns from dataset to scope opportunities for automation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

AI & Analytics Workload Specialist

Hewlett Packard Enterprise

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
July 18, 2025

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