ai/ml specialist

QVISE (Quality Vertex Integrated System Engineering) Pvt. Ltd.

<p>We are seeking an experienced AI/ML Specialist to implement our technological vision, work with a dynamic team of Engineers and translate complex research concepts into impactful business solutions.</p><p><b>Key Responsibilities:</b></p><ul><li>Implement comprehensive ML/ DL/ Gen AI research and development strategies</li><li>Work with a high-performing team of design and development engineers for ML/ DL/ Gen AI development</li><li>Design complex ML/ DL/ Gen AI, including Large Language Models solution architectures</li><li>Identify and prioritize emerging AI technologies</li><li>Conduct advanced research across multiple AI domains</li><li>Collaborate with cross-functional teams to develop and integrate AI solutions</li><li>Develop and maintain robust AI development methodologies</li></ul><p><b>Requirements:</b></p><ul><li>Master&rsquo;s/ Bachelor&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence or related technical field</li><li>1-2 years of progressive ML/ DL/ Gen AI experience</li><li>Proven track record of successful AI project development/ implementations</li><li>Demonstrated ability to translate research concepts into practical solutions</li></ul><p><b>Technical Skills:</b></p><ul><li>Understanding of advanced ML algorithm and having adequate knowledge of NLP, CV and Robotics fundamentals</li><li>Cross-domain AI implementation/ integration</li><li>Strong programming and technical communication skills</li><li>Experience with multiple AI/ML frameworks and interested in emerging AI technologies</li><li>Ability to mentor and develop technical teams</li></ul><p><b>Recruitment Criteria:</b></p><ul><li>Innovative thinking</li><li>Adaptability and continuous learning</li><li>Passion for technological innovation</li></ul><p>To apply, please submit your resume to &quot;career@qvise.com&quot;, please mention job title in subject.</p><p>Job Type: Full-time</p><p>Pay: Rs50,000.00 - Rs200,000.00 per month</p><p>Work Location: In person</p>

AI/ML Specialist

VAM SYSTEMS

<div><b>Job Description</b><p><b><br>
VAM Systems </b>is currently looking for<b> AI/ML Specialists (Data Scientists/ ML Engineer) </b>(On-Site) for our<b> Bahrain </b>operations with the following skillsets and terms &amp; conditions:</p><p><b>
Years of Experience: 7 &ndash; 10 years</b></p><p><b>
Qualification</b></p><p>
Bachelor&rsquo;s Degree in Computer Science / Engineering<br>
Preferably BE Computer Science &amp; Engineering</p><p><b>
Professional Training Required: </b>Machine Learning, Deep Learning, MLOps, AI in Financial Services.<br>
<b>Professional Qualification Required: </b>Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable.<br>
<b>Professional Certifications Required: </b>TensorFlow Developer Certificate, AWS Certified Machine Learning.</p><p><b>
Must-Have:</b></p><ul><li>Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures</li><li>Several years of ML experience with implemented use cases.</li><li>Hands-on work experience most of which in banking, financial institutions, or insurance industries.</li></ul><p><b>
Experience required:</b></p><p>
Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms.<br>
Experience with model evaluation and performance metrics.</p><p>
Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering.<br>
Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management.<br>
Ability to communicate insights and build explainable AI models.<br>
<b>Joining time frame: (15 - 30 days)</b></p></div>

AI/ML Specialists (Data Scientists/ ML Engineer)

<div><b>Job Description</b><p><b><br>
VAM Systems </b>is currently looking for<b> Data Scientists - Banking </b>for our<b> Bahrain </b>operations with the following skillsets and terms &amp; conditions:</p><p><b>
Years of Experience: 7 &ndash; 10 years</b></p><p><b>
Qualification</b></p><p>
Bachelor&rsquo;s Degree in Computer Science / Engineering<br>
Preferably BE Computer Science &amp; Engineering</p><p><b>
Professional Training Required: </b>Machine Learning, Deep Learning, MLOps, AI in Financial Services.<br>
<b>Professional Qualification Required: </b>Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable.<br>
<b>Professional Certifications Required: </b>TensorFlow Developer Certificate, AWS Certified Machine Learning.</p><p><b>
Must-Have:</b></p><ul><li>Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures</li><li>Several years of ML experience with implemented use cases.</li><li>Hands-on work experience most of which in banking, financial institutions, or insurance industries.</li></ul><p><b>
Experience required:</b></p><p>
Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms.<br>
Experience with model evaluation and performance metrics.</p><p>
Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering.<br>
Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management.<br>
Ability to communicate insights and build explainable AI models.<br>
<br>
<br>
<b>Core AI / NLP Engineering</b></p><ul><li>Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)</li><li>LLM fine-tuning (LoRA, PEFT, prompt tuning)</li><li>Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)</li><li>Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)</li><li>Knowledge of embeddings, tokenization, and transformer architecture</li><li>Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch</li><li>Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)</li></ul>
<br>
<b>Software Engineering &amp; Backend Integration</b><ul><li>RESTful and GraphQL APIs, webhooks</li><li>Containerization and deployment (Docker, Kubernetes, CI/CD)</li><li>Authentication and user/session management</li><li>Data pipelines and microservices</li><li>Knowledge of frameworks like FastAPI, Flask, NestJS, or Express</li><li>Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)</li></ul><p><b>
Agent Orchestration &amp; Tooling
</b></p><ul><li>LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks</li><li>Task-decomposition and reasoning chains</li><li>Function calling, tool use, and API chaining</li><li>Memory design (short-term vs long-term)</li><li>Context management and grounding strategies.</li></ul><p><b>
Joining time frame: (15 - 30 days)</b></p></div><p></p>

Data Scientists - Banking

Zoetis

<div><div>POSITION SUMMARY</div><div><br>
Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock.<br>
Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India. At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.</div><div></div><div>
At Zoetis India Capability Center (ZICC) in Hyderabad, we are advancing applied AI research&mdash;turning cutting-edge AI methods into production-grade solutions. As an Applied AI Scientist, you will bridge the gap between research and application by developing, fine-tuning, and deploying AI models for real-world use cases such as intelligent assistants, predictive analytics, and process automation.<br>
You will work at the intersection of machine learning research, software engineering, and domain expertise&mdash;collaborating with global teams to design AI systems that deliver measurable business value and enhance the quality of life for animals and the people who care for them.</div><div></div><div>
POSITION RESPONSIBILITIES</div><div>
 Percent of Time</div><div><br>
AI Model Development &amp; Integration:<br>
Research, design, and implement AI/ML models, with a focus on statistical process control, anomaly detection, process optimization, LLMs, NLP, and RAG pipelines<br>
Fine-tune and adapt pre-trained models for Zoetis-specific use cases.<br>
Integrate AI models into production environments using APIs and scalable back-end architectures.<br>
Work with IoT data streams from automation equipment to enable real-time analytics and decision support.</div><div></div><div>
Experimentation &amp; Problem-Solving:<br>
Conduct experiments to evaluate model performance, interpretability, and robustness.<br>
Apply strong problem-solving skills to address complex AI challenges in real-world settings.<br>
Troubleshoot model integration issues and optimize performance to meet SLA guidelines.</div><div></div><div>
Deployment &amp; Maintenance:<br>
Deploy AI models and services to production using MLOps best practices.<br>
Monitor AI system performance, ensuring scalability, reliability, and compliance.<br>
Implement continuous improvements based on business needs and user feedback.</div><div></div><div>
Collaboration &amp; Knowledge Sharing:<br>
Work closely with data scientists, engineers, and product managers to align AI solutions with business objectives.<br>
Participate in peer reviews of code, model architectures, and experimental design.<br>
Present research findings, prototypes, and AI strategy recommendations to stakeholders.</div><div></div><div>
Continuous Learning &amp; Innovation:<br>
Stay current with advancements in AI/ML research, frameworks, and tools.<br>
Experiment with emerging AI technologies to explore innovative applications for Zoetis.<br>
Mentor junior team members on AI development and applied research best practices<br>
Research, prototype, and evaluate AI/ML models for Zoetis use cases 30%<br>
Fine-tune LLMs and implement RAG pipelines for domain-specific applications 25%<br>
Collaborate with engineers to integrate AI models into scalable production systems 20%<br>
Conduct experiments, benchmark models, and analyze performance metrics 15%<br>
Publish internal research findings, present solutions, and contribute to AI strategy 10%</div><div></div><div>
ORGANIZATIONAL RELATIONSHIPS</div><div>
Partner with business leaders to identify opportunities for AI adoption and automation.<br>
Work closely with data scientists to integrate models into production environments.<br>
Coordinate with DevOps, cloud engineering, and security teams to ensure AI applications meet compliance and performance standards.<br>
Mentor and guide junior engineers to upskill in AI and full-stack development.</div><div><br>
EDUCATION AND EXPERIENCE</div><div>
Master&rsquo;s degree in computer science, engineering, physics or related field.</div><div>
Experience:<br>
<ul><li>1.5&ndash;6.5 years of hands-on experience in AI/ML, with a strong track record of developing and deploying analytics solutions in production environments</li><li>Advanced proficiency in Python (PyTorch, TensorFlow, machine learning libraries), R (tidyverse, shiny, statistical/machine learning packages), and SQL for data analysis, modeling, and visualization</li><li>Applied expertise in statistical process control (SPC), design of experiments (DOE), Six Sigma methodologies, and root cause analysis to drive process improvement and quality assurance</li><li>Familiarity with manufacturing data sources such as SCADA platforms, PLCs, and data historians and analysis concepts from these data streams (IoT, time series analysis, real-time data processing, and multivariate process monitoring for manufacturing applications)</li><li>Proficient in MLOps practices for deploying, monitoring, and maintaining models in production environments</li><li>Experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP Vertex AI)</li><li>Skilled in source control and collaborative development using Git and GitHub Enterprise</li><li>Familiarity with natural language processing (NLP), large language model (LLM) fine-tuning, retrieval-augmented generation (RAG) architectures, and vector databases</li></ul></div><div></div><div>
TECHNICAL SKILLS REQUIREMENTS<br>
Indicate the technical skills required and/or preferred, as applicable.<br>
<ul><li>ML/AI Frameworks: PyTorch, TensorFlow, Hugging Face Transformers.</li><li> EDA/Visualization frameworks: rmarkdown, ggplot2, shiny</li><li>Specialization Areas: SPC, DOE, Anomaly detection, NLP, LLM fine-tuning, Prompt Engineering, RAG pipelines.</li><li>Data Tools: Pandas, NumPy, Scikit-learn, tidyverse, Vector Databases (Pinecone, Weaviate, FAISS).</li><li>Databases: PostgreSQL, SQL, NoSQL.</li><li>Programming Languages: Python, SQL, optionally C++/Rust for performance-critical components.</li></ul></div><div></div><div>
PHYSICAL POSITION REQUIREMENTS<br>
Regular working hours are from 11 AM to 8:00 PM IST.<br>
Sometimes, more overlap with the EST Time zone is required during production go-live.<br>
Full time</div><br>
<div></div>
Full time</div>

Data Scientist Tech & Digital Hyderabad India JR00019818

Aramco Overseas Company

<p></p><div><div><div><div><div><div><div><b>Job Req ID: </b>17280
</div></div></div></div><div><div><div><div><b>Description:
</b><div><b>Aramco energizes the world economy.</b></div>
<div>Aramco occupies a special position in the global energy industry. We are one of the world&rsquo;s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.</div>
<div>With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco&rsquo;s value to society.</div>
<div>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations&rsquo; spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom&rsquo;s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.</div>
<div>We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.</div>
<div><div><div><div><b>
Overview</b></div>
</div><div><div>
We are seeking Computational Research Expert with a strong background in Artificial Intelligence to join our Research &amp; Development Center (R&amp;DC).</div><br>
<div></div>
<div>
R&amp;DC conducts strategic research, development and demonstration programs in support of Aramco&rsquo;s drive for innovation.</div><br>
<div></div>
<div>
Your primary role is to design, develop, and deploy advance AI and ML solutions to address complex business, scientific, and engineering challenges.</div></div></div><div><div><div><b>
Key Responsibilities</b></div>
</div><div><div>
As the successful candidate you will be required to perform the following:</div>
<ul>
<li>Design, develop, and validate advanced AI/ML models</li>
<li>Engage with stakeholders and domain experts to understand challenges, formulate AI-ready problem statements, and identify impactful solutions.</li>
<li>Lead end-to-end AI projects, from data acquisition and feature engineering to deployment and performance monitoring.</li>
<li>Integrate AI solutions with existing systems, digital twins, and operational workflows.</li>
<li>Stay current with AI research and translate emerging methods into practical applications.</li>
<li>Collaborate with cross-functional teams and provide technical guidance and mentorship.</li>
<li>Contribute to technical documentation, patents, and publications.</li>
</ul></div></div><div><div><div><b>Minimum Requirements</b></div>
</div><div><ul><li>As a successful candidate you will hold a Bachelor degree AI, Computer Science, Data Science, Engineering, Mathematics, or related fields. A PhD is also required.</li>
<li>You should have a minimum of 5 years of experience.</li>
<li>You will have a strong foundation in machine learning, statistics, and optimization.</li>
<li>You will also have a proven track record of conducting advanced technical projects with an ability to connect basic science research with industrial applications.</li>
<li>It is also necessary to have proficiency in Python and experience with large-scale data and computing environments. Coding in PyTorch, TensorFlow, JAX skills are also required.</li>
</ul></div></div><div><div><div><b>Work Location and Work Schedule
</b></div></div><div><div>Work location: Within Saudi Arabia &ndash; To be specified in Job offer</div>
<div>
Work schedule: Full Time - To be specified in Job offer</div></div></div><div></div><div><div><div><b><br>
Job Posting Duration</b></div>
</div><div><div>
Job posting start date: 12/18/2025</div>
<div>
Job posting end date: 12/31/2026</div></div></div></div><div><b>
Working environment
</b></div><div>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
</div><div>At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world&rsquo;s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
</div><div>We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs &ndash; one of the largest in the world.</div><br>
<div></div>
</div></div></div></div><div><div><div><div><b>Country/Region: </b>SA</div></div></div></div></div></div></div><p></p>

Computational Research Expert (AI Specialist)

TAT IT Technolgies

<div>
 <strong>
  Urgent requirement for Data Scientist (
 </strong>
 <strong>
  Core AI / NLP Engineering) is required for our client in Bahrain
  <br/>
  <br/>
 </strong>
 <strong>
  Design and develop machine learning models to support AI-driven banking solutions is MUST
  <br/>
  <br/>
 </strong>
 <strong>
  Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.) is MUST
  <br/>
  <br/>
 </strong>
 <strong>
  LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks is MUST
  <br/>
  <br/>
 </strong>
 <strong>
  Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy) is MUST
  <br/>
  <br/>
 </strong>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop machine learning models to support AI-driven banking solutions
  </li>
  <li>
   Collaborate with data engineers to access and prepare data for modeling
  </li>
  <li>
   Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit
  </li>
  <li>
   scoring)
  </li>
  <li>
   Evaluate model performance and optimize for accuracy, precision, and recall
  </li>
  <li>
   Deploy models into production using MLOps frameworks and CI/CD pipelines
  </li>
  <li>
   Ensure models are explainable, auditable, and compliant with regulatory standards
  </li>
  <li>
   Work with business stakeholders to identify AI opportunities and define success metrics
  </li>
  <li>
   Document model assumptions, data sources, and performance benchmarks
   <br/>
   <br/>
  </li>
 </ul>
 Core AI / NLP Engineering
 <br/>
 <br/>
 <ul>
  <li>
   Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)
  </li>
  <li>
   LLM fine-tuning (LoRA, PEFT, prompt tuning)
  </li>
  <li>
   Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)
  </li>
  <li>
   Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)
  </li>
  <li>
   Knowledge of embeddings, tokenization, and transformer architecture
  </li>
  <li>
   Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch
  </li>
  <li>
   Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 Software Engineering &amp; Backend Integration
 <br/>
 <br/>
 <ul>
  <li>
   RESTful and GraphQL APIs, webhooks
  </li>
  <li>
   Containerization and deployment (Docker, Kubernetes, CI/CD)
  </li>
  <li>
   Authentication and user/session management
  </li>
  <li>
   Data pipelines and microservices
  </li>
  <li>
   Knowledge of frameworks like FastAPI, Flask, NestJS, or Express
  </li>
  <li>
   Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)
   <br/>
   <br/>
  </li>
 </ul>
 Agent Orchestration &amp; Tooling
 <br/>
 <br/>
 <ul>
  <li>
   LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks
  </li>
  <li>
   Task-decomposition and reasoning chains
  </li>
  <li>
   Function calling, tool use, and API chaining
  </li>
  <li>
   Memory design (short-term vs long-term)
  </li>
  <li>
   Context management and grounding strategies
   <br/>
   <br/>
  </li>
 </ul>
 Conversational UX / Design
 <br/>
 <br/>
 <ul>
  <li>
   Conversation design frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress)
  </li>
  <li>
   Flow design and intent management (Dialogflow, Rasa, Cognigy)
  </li>
  <li>
   Tone, empathy, and personality design for AI personas
  </li>
  <li>
   A/B testing dialogue variants and measuring user satisfaction
   <br/>
   <br/>
  </li>
 </ul>
 Data &amp; Infrastructure
 <br/>
 <br/>
 <ul>
  <li>
   Data pipelines (Airflow, dbt, Kafka)
  </li>
  <li>
   Structured/unstructured data ingestion (PDFs, databases, APIs)
  </li>
  <li>
   Feature store and model registry management (MLflow, Kubeflow)
  </li>
  <li>
   Vector database deployment and optimization
  </li>
  <li>
   Monitoring, logging, and drift detection
   <br/>
   <br/>
  </li>
 </ul>
 Governance, Security &amp; Compliance
 <br/>
 <br/>
 <ul>
  <li>
   Model explainability (SHAP, LIME)
  </li>
  <li>
   Bias/fairness audits and data privacy
  </li>
  <li>
   Compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations
  </li>
  <li>
   Secure prompt logging and audit trails
   <br/>
   <br/>
  </li>
 </ul>
 Products &amp; Strategy
 <br/>
 <br/>
 <ul>
  <li>
   Translating business problems into AI use cases
  </li>
  <li>
   Roadmapping and budget planning
  </li>
  <li>
   KPI design (accuracy, user satisfaction, automation ROI)
  </li>
  <li>
   Vendor management (OpenAI, Anthropic, AWS, etc.)
  </li>
  <li>
   Change management and user adoption
   <br/>
   <br/>
  </li>
 </ul>
 Skills: ai,design,nlp,data
</div>


Data Scientist (Core AI / NLP Engineering)

Hewlett Packard Enterprise | HPE

<div>AI ML Master - Marketing Sciences and Analytics<p><br>
</p>This role has been designed as &lsquo;&rsquo;Onsite&rsquo; with an expectation that you will primarily work from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><p></p><div><div>Our <b>HPE marketing teams</b> are focused on making our brand easy to understand and easy to buy. We&rsquo;re devising data driven brand strategy, from architecture and naming, to why we exist, what we do, who we are and how we look, feel and sound. As a team, we are retaining and attracting new customers by accelerating our business strategy by making our brand stronger, more relevant, differentiated, and authentic. Join us redefine what&rsquo;s next for you.</div></div><p><b>
Job Family Definition:</b></p><p>
Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments.<br>
<br>
Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics.<br>
<br>
Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.</p><p></p><p><b>
Management Level Definition:</b></p><p>
Contributions have visible technical impact on a product or major subcomponent. Applies in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs. Recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization.</p><p></p><p><b>
What you'll do:
</b></p><p><b>Responsibilities:</b></p><ul><li>
Responsible for designing, developing, and deploying advanced machine learning models and algorithms. This includes selecting appropriate techniques, data pre-processing, feature engineering, model training, and evaluation.</li><li>
Stays up to date with the latest advancements in the field and leads research initiatives to explore novel approaches and technologies. This involves conducting experiments, evaluating new algorithms, and identifying opportunities for innovation.</li><li>
Responsible for designing the architecture of AI systems and ensuring scalability, performance, and reliability. This includes optimizing algorithms, leveraging distributed computing frameworks, and utilizing cloud services to enable efficient and effective AI solutions.</li><li>
Works closely with other teams, such as data scientists, software engineers, and product managers. You will collaborate to understand requirements, identify opportunities for AI integration, and provide technical guidance throughout the development process.</li><li>
Provides technical leadership and mentorship to junior engineers, guiding them in best practices for AI and machine learning. Review their work and provide feedback to help them grow and improve their skills.</li><li>
Oversees and guides multiple design review sessions across different projects, ensuring consistency in design choices and adherence to best practices. Act as a key mentor for the team.</li><li>
Partners with the engineering manager and team lead to establish long-term design and implementation strategies.</li><li>
Leads efforts to incorporate feedback loops and continuous improvement processes.</li><li>
Leads meetings, ensuring efficient progress tracking, issue resolution, and team coordination. Support the engineering manager in setting meeting agendas.</li><li>
Creates and delivers high-level presentations and reports to executive stakeholders, effectively communicating complex technical strategies and their impact on business goals.</li><li>
Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets</li><li>
May be involved in the design and development of solutions to complex applications problems, system administration issues, or network concerns, where applicable to the role.</li></ul><p></p><p><b>
What you need to bring:</b></p><p><b>
Education and Experience Required:</b></p><ul><li>
Master&rsquo;s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.</li><li>
Typically, 10-15 years&rsquo; experience.</li></ul><p></p><p><b>
Knowledge and Skills:</b></p><ul><li>
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling.</li><li>
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks. Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit is required.</li><li>
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.) is highly valuable.</li><li>
Strong programming skills are necessary for implementing and deploying machine learning models. Proficiency in Python, Java, or C++ is required. Ability to write clean, efficient, and maintainable code and have knowledge of software engineering best practices.</li><li>
Be skilled in preparing and cleaning data for machine learning tasks, which include data wrangling, feature extraction, dimensionality reduction, handling missing values, and addressing data quality issues.</li><li>
A solid understanding of mathematical concepts, such as linear algebra, calculus, probability theory, and statistics, is crucial for effectively designing and evaluating machine learning models.</li><li>
Proficiency in data visualization tools and techniques to analyze and present insights gained from AI and machine learning models. Create meaningful visualizations and effectively communicate complex concepts to technical and non-technical stakeholders.</li><li>
Be skilled in fine-tuning and optimizing ML/DL and transformer-based models (classification, regression, clustering, sequence modeling, embeddings, BERT/GPT-style LLMs) including custom tokenizers and domain-specific architectures.</li><li>
Expertise in architecting and building end-to-end NLP/GenAI solutions&mdash;RAG pipelines, embedding models, vector databases, semantic search, summarization, conversational AI, and prompt-optimization workflows&mdash;using tools like LangChain, LlamaIndex or custom frameworks.</li><li>
Expertise in deploying and scaling AI/ML products on cloud platforms (AWS/Azure/GCP), integrate LLMs into production APIs.</li><li>
Familiarity in defining safety, evaluation, and monitoring processes for reliable GenAI operations.</li><li>
Familiarity with software engineering principles, version control systems (e.g., Git), testing methodologies, and agile development practices is valuable. This helps ensure the robustness, scalability, and maintainability of AI systems.</li><li>
Stay up to date with the latest advancements in the field, follow research papers, attend conferences, and contribute to the AI community. A passion for continuous learning and a drive for innovation are essential traits.</li><li>
Experience in leading research initiatives, publishing research papers, or contributing to open-source projects in AI.</li><li>
Experience in guiding and mentoring other engineers.</li><li>
Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers.</li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#india
#marketing<p></p><p><b>
Job:</b></p>
Engineering<p><b>
Job Level:</b></p>
TCP_05<p><br>
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
</p><p><b>No Fees Notice &amp; Recruitment Fraud Disclaimer</b></p><p></p><p><i><br>
It has come to HPE&rsquo;s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.</i></p><p></p><p><i><br>
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment </i><i>agencies/vendors </i><b><i>will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. </i></b><i>The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.</i></p></div>

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