ai ml engineer

LMKR

<div>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  We are looking for a Senior AI/ML Engineer to join our team and help in the design, development, and deployment of advanced AI/ML applications. The ideal candidate will have strong expertise in Python, cloud-native AI platforms, data engineering workflows, and generative AI frameworks, with a proven ability to deliver scalable, production-grade solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI/ML models to solve complex business problems.
  </li>
  <li>
   Implement generative AI solutions using OpenAI, Azure OpenAI, AWS Bedrock, or Anthropic models.
  </li>
  <li>
   Work with vector databases (OpenSearch, Pinecone, Weaviate, Redis, Azure Cognitive Search) to build retrieval-augmented generation (RAG) pipelines.
  </li>
  <li>
   Develop and optimize Python/Node.js applications integrating ML workflows with REST APIs.
  </li>
  <li>
   Build and maintain data pipelines, perform data preprocessing, feature engineering, and model training using large-scale structured and unstructured datasets.
  </li>
  <li>
   Collaborate with cross-functional teams to translate requirements into technical solutions.
  </li>
  <li>
   Apply MLOps practices
  </li>
  <li>
   Stay current with advancements in AI/ML, GenAI, and cloud technologies to innovate and improve solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <ul>
  <li>
   Experience with LLMs, embeddings, RAG, and agentic AI frameworks.
  </li>
  <li>
   Hands-on with cloud platforms (Azure, AWS) and services such as SageMaker, Bedrock, Cognitive Search.
  </li>
  <li>
   Knowledge of vector databases.
  </li>
  <li>
   Familiarity with MLOps tools.
  </li>
  <li>
   Proficiency in Python/Node.js and REST API integration.
  </li>
  <li>
   Data handling skills including preprocessing, feature engineering, and pipeline development.
  </li>
  <li>
   Understanding of AI/ML concepts
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   Minimum: 4-6 years in AI/ML engineering.
  </li>
  <li>
   Preferred: Experience in building production-grade AI/ML or GenAI applications at scale.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education/Qualification:
  </strong>
 </p>
 <ul>
  <li>
   Minimum: 16 years education in Computer Science, Data Science, AI/ML, or a related field.
  </li>
  <li>
   Preferred: MS in AI/ML or equivalent research/industry experience in advanced AI applications.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location
  </strong>
 </p>
 <ul>
  <li>
   Islamabad
  </li>
 </ul>
</div>


AI/ML Engineer

HPE Juniper Networking

<div></div><div><div>Location</div>
Bangalore, Karnataka, 560100
<div>Category</div>
Engineering / Information Technology
<div>Job Type</div>
Full time
<div>Job Id</div>
1193149
<div></div>No</div>
<br><div>AI/ML Engineer<br>
<p></p>
This role has been designed as &lsquo;Hybrid&rsquo; with an expectation that you will work on average 2 days per week 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></p><p><b><br>
HPE Operations </b>is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers&rsquo; outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today&rsquo;s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what&rsquo;s next for you.</p><p></p><p><b>
What you'll do:</b></p><p></p><p>
We are seeking an experienced <b>AI / ML Engineer</b> with 7+ years of expertise in designing, developing, and deploying <b>machine learning and artificial intelligence solutions</b> at enterprise scale. The ideal candidate will build scalable ML pipelines, apply deep learning and advanced analytics, and collaborate with data scientists and engineers to transform business problems into intelligent, data-driven solutions.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><b>
Model Development &amp; Deployment</b><ul><li>
Design, train, and optimize <b>ML/DL models</b> for classification, prediction, NLP, computer vision, and recommendation systems.</li><li>
Deploy ML models into production using <b>MLOps frameworks</b> (Kubeflow, MLflow, SageMaker, Vertex AI, Azure ML).</li><li>
Develop reusable ML components for scalability and automation.</li></ul></li><li><b>
Data Engineering for ML</b><ul><li>
Work with large-scale datasets for feature extraction, cleaning, and transformation.</li><li>
Implement <b>data pipelines</b> for real-time and batch ML workloads.</li><li>
Ensure data quality, consistency, and lineage across pipelines.</li></ul></li><li><b>
MLOps &amp; Automation</b><ul><li>
Build end-to-end automated <b>ML lifecycle pipelines</b> (training, testing, deployment, monitoring).</li><li>
Integrate CI/CD practices into ML model deployment.</li><li>
Implement drift detection, continuous learning, and retraining strategies.</li></ul></li><li><b>
Performance &amp; Optimization</b><ul><li>
Optimize algorithms for speed, accuracy, and cost efficiency.</li><li>
Leverage GPU/TPU environments for high-performance training.</li><li>
Benchmark models and fine-tune hyperparameters for business KPIs.</li></ul></li><li><b>
Security &amp; Governance</b><ul><li>
Ensure compliance with ethical AI practices and regulatory frameworks.</li><li>
Implement security measures for ML models (adversarial robustness, secure APIs).</li><li>
Collaborate with cybersecurity and governance teams for responsible AI adoption.</li></ul></li><li><b>
Collaboration &amp; Innovation</b><ul><li>
Work with <b>data scientists, data engineers, and business analysts</b> to align AI solutions with business outcomes.</li><li>
Mentor junior engineers and contribute to best-practice frameworks.</li><li>
Stay updated on <b>emerging AI/ML research, tools, and technologies</b>.</li></ul></li></ul><p></p><p><b>
What you need to bring:</b></p><p><b>
Required Skills &amp; Experience</b></p><ul><li>
7+ years in <b>AI/ML engineering, data science, or applied machine learning</b>.</li><li>
Proficiency in <b>Python, R, or Scala</b> with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost).</li><li>
Strong background in <b>statistics, data mining, and algorithm design</b>.</li><li>
Hands-on experience with <b>cloud AI/ML platforms</b> (AWS SageMaker, Azure ML, GCP Vertex AI).</li><li>
Familiarity with <b>MLOps tools</b> (Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong knowledge of <b>SQL/NoSQL databases and data lakes</b>.</li></ul><p></p><p><b>
Preferred Knowledge</b></p><ul><li>
Experience with <b>Generative AI (LLMs, diffusion models, transformers)</b>.</li><li>
Domain knowledge in <b>NLP, CV, or reinforcement learning</b>.</li><li>
Exposure to <b>streaming data ML</b> (Kafka, Flink, Spark Streaming).</li><li>
Familiarity with <b>responsible AI frameworks</b> (Fairness, Explainability, Bias detection).</li></ul><p></p><p><b>
Education &amp; Certifications</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>
Preferred certifications:<ul><li>
AWS Certified Machine Learning &ndash; Specialty / Azure AI Engineer Associate / GCP ML Engineer.</li><li>
TensorFlow or PyTorch professional certifications.</li></ul></li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}<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<div></div>
#operations<p></p><p><b>
Job:</b></p>
Services<p><b>
Job Level:</b></p>
TCP_03<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><br>
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></p><p><br>
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></div>

Deeplight

<div><p><b>About DeepLight AI:</b> DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p><b>
Role Overview:</b> We are looking for a Senior AI/ML Engineer to design, develop and implement machine learning models and AI-powered solutions for our enterprise clients. The successful candidate will work on complex data processing pipelines, model development, and performance optimisation across various business domains.</p><p><b>
Key Responsibilities:</b></p><ul>
<li>Design and implement AI/ML models to solve complex business problems</li>
<li>Develop data processing pipelines for model training and deployment</li>
<li>Implement algorithm optimizations for performance improvement</li>
<li>Create prediction engines and pattern recognition systems</li>
<li>Tune models based on performance metrics and feedback</li>
<li>Test AI models for accuracy, bias, and robustness</li>
<li>Implement AI monitoring and logging mechanisms</li>
<li>Collaborate with data engineers and full-stack developers to integrate AI solutions</li>
<li>Provide technical expertise on AI/ML best practices and methodologies</li>
</ul><p><b>Requirements</b></p><ul>
<li>8+ years of experience in machine learning and AI development</li>
<li>Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, scikit-learn)</li>
<li>Experience with NLP, computer vision, or predictive analytics</li>
<li>Knowledge of data processing and feature engineering techniques</li>
<li>Experience with model deployment and production ML pipelines</li>
<li>Understanding of cloud platforms (AWS, Azure, or GCP)</li>
<li>Strong problem-solving skills and attention to detail</li>
<li>Experience with financial data or enterprise solutions a plus</li>
</ul><p><b>Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p></div>

AI / ML Engineer

ServoEdge Technologies

<p><b>AI/ML Engineer (3-6 Years Experience) </b></p><p><b>The Role</b></p><p>We are looking for a talented and experienced AI/ML Engineer with 3-6 years of experience to join our team. The ideal candidate will have a strong foundation in machine learning and deep learning, with a proven track record of developing and deploying models for voice and image-based applications. In this role, you will be a key contributor, responsible for the end-to-end lifecycle of our AI models, from research and development to production and maintenance.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy scalable and robust machine learning models for computer vision (e.g., object detection, image classification, segmentation) and speech/audio processing (e.g., ASR, speech enhancement, speaker recognition).</li><li>Conduct research and implement state-of-the-art algorithms and frameworks to improve model performance and efficiency.</li><li>Collaborate with data scientists, product managers, and software engineers to translate business requirements into technical solutions.</li><li>Manage the data pipeline, including data collection, cleaning, annotation, and preprocessing for both voice and image datasets.</li><li>Optimize and fine-tune existing models for performance, latency, and resource efficiency.</li><li>Develop and maintain the MLOps pipeline, ensuring seamless integration of models into production environments.</li><li>Stay up-to-date with the latest advancements in AI, machine learning, and relevant technologies.</li><li>Contribute to the technical vision and strategy of the AI team.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.</li><li>3-6 years of hands-on professional experience as an AI/ML Engineer.</li><li>Strong proficiency in Python and familiarity with core data science libraries such as NumPy, Pandas, and Scikit-learn.</li><li>Extensive experience with deep learning frameworks such as <b>PyTorch</b> and/or <b>TensorFlow</b>.</li><li>Demonstrable experience in building and deploying models for <b>Computer Vision</b> using techniques like CNNs, R-CNNs, YOLO, and frameworks like OpenCV.</li><li>Demonstrable experience in building and deploying models for <b>Speech/Audio Processing</b> using techniques like RNNs, LSTMs, Transformers, and libraries like torchaudio, librosa, or similar.</li><li>Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker).</li><li>Knowledge of MLOps practices, including model serving, monitoring, and pipeline automation.</li><li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with real-time or low-latency AI applications.</li><li>Knowledge of generative AI models (e.g., GANs, Transformers) for voice or image synthesis.</li><li>Experience with edge AI and model optimization for mobile or embedded devices.</li><li>Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.</li><li>Prior experience in a startup environment.</li></ul><p><b>What We Offer</b></p><ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on cutting-edge technologies and impactful projects.</li><li>A collaborative and innovative work environment.</li><li>Professional development opportunities.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Current CTC?</li><li>Expected CTC?</li><li>Notice Period</li><li>Current location?</li></ul><p>Work Location: In person</p>

Hewlett Packard Enterprise | HPE

<div>AI/ML Engineer<br>
<p></p>
This role has been designed as &lsquo;Hybrid&rsquo; with an expectation that you will work on average 2 days per week 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></p><p><b><br>
HPE Operations </b>is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers&rsquo; outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today&rsquo;s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what&rsquo;s next for you.</p><p></p><p><b>
What you'll do:</b></p><p></p><p>
We are seeking an experienced <b>AI / ML Engineer</b> with 7+ years of expertise in designing, developing, and deploying <b>machine learning and artificial intelligence solutions</b> at enterprise scale. The ideal candidate will build scalable ML pipelines, apply deep learning and advanced analytics, and collaborate with data scientists and engineers to transform business problems into intelligent, data-driven solutions.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><b>
Model Development &amp; Deployment</b><ul><li>
Design, train, and optimize <b>ML/DL models</b> for classification, prediction, NLP, computer vision, and recommendation systems.</li><li>
Deploy ML models into production using <b>MLOps frameworks</b> (Kubeflow, MLflow, SageMaker, Vertex AI, Azure ML).</li><li>
Develop reusable ML components for scalability and automation.</li></ul></li><li><b>
Data Engineering for ML</b><ul><li>
Work with large-scale datasets for feature extraction, cleaning, and transformation.</li><li>
Implement <b>data pipelines</b> for real-time and batch ML workloads.</li><li>
Ensure data quality, consistency, and lineage across pipelines.</li></ul></li><li><b>
MLOps &amp; Automation</b><ul><li>
Build end-to-end automated <b>ML lifecycle pipelines</b> (training, testing, deployment, monitoring).</li><li>
Integrate CI/CD practices into ML model deployment.</li><li>
Implement drift detection, continuous learning, and retraining strategies.</li></ul></li><li><b>
Performance &amp; Optimization</b><ul><li>
Optimize algorithms for speed, accuracy, and cost efficiency.</li><li>
Leverage GPU/TPU environments for high-performance training.</li><li>
Benchmark models and fine-tune hyperparameters for business KPIs.</li></ul></li><li><b>
Security &amp; Governance</b><ul><li>
Ensure compliance with ethical AI practices and regulatory frameworks.</li><li>
Implement security measures for ML models (adversarial robustness, secure APIs).</li><li>
Collaborate with cybersecurity and governance teams for responsible AI adoption.</li></ul></li><li><b>
Collaboration &amp; Innovation</b><ul><li>
Work with <b>data scientists, data engineers, and business analysts</b> to align AI solutions with business outcomes.</li><li>
Mentor junior engineers and contribute to best-practice frameworks.</li><li>
Stay updated on <b>emerging AI/ML research, tools, and technologies</b>.</li></ul></li></ul><p></p><p><b>
What you need to bring:</b></p><p><b>
Required Skills &amp; Experience</b></p><ul><li>
7+ years in <b>AI/ML engineering, data science, or applied machine learning</b>.</li><li>
Proficiency in <b>Python, R, or Scala</b> with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost).</li><li>
Strong background in <b>statistics, data mining, and algorithm design</b>.</li><li>
Hands-on experience with <b>cloud AI/ML platforms</b> (AWS SageMaker, Azure ML, GCP Vertex AI).</li><li>
Familiarity with <b>MLOps tools</b> (Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong knowledge of <b>SQL/NoSQL databases and data lakes</b>.</li></ul><p></p><p><b>
Preferred Knowledge</b></p><ul><li>
Experience with <b>Generative AI (LLMs, diffusion models, transformers)</b>.</li><li>
Domain knowledge in <b>NLP, CV, or reinforcement learning</b>.</li><li>
Exposure to <b>streaming data ML</b> (Kafka, Flink, Spark Streaming).</li><li>
Familiarity with <b>responsible AI frameworks</b> (Fairness, Explainability, Bias detection).</li></ul><p></p><p><b>
Education &amp; Certifications</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>
Preferred certifications:<ul><li>
AWS Certified Machine Learning &ndash; Specialty / Azure AI Engineer Associate / GCP ML Engineer.</li><li>
TensorFlow or PyTorch professional certifications.</li></ul></li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}<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
#operations<p></p><p><b>
Job:</b></p>
Services<p><b>
Job Level:</b></p>
TCP_03<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><br>
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></p><p><br>
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></div>

Eurus Technologies 

<p><b>Positions: 4</b></p><p><b>Job Type: Full Time (On-Site)</b></p><p><b>Location: Islamabad</b></p><p>We are seeking an innovative and experienced <b>AI/ML Engineer </b>to design, develop, and deploy AI/ML solutions that address real-world challenges. The role involves building and optimizing models, crafting effective prompts for LLMs, and integrating AI into production systems at scale.</p><p><b>Responsibilities:</b></p><ul><li>Design, develop, and deploy machine learning and deep learning models.</li><li>Preprocess, clean, and organize large datasets for optimal model performance.</li><li>Collaborate with data scientists and software engineers to integrate AI models into applications.</li><li>Design, test, and refine prompts to optimize Large Language Model (LLM) outputs for accuracy, relevance, and efficiency.</li><li>Optimize model performance, scalability, and resource utilization in production environments.</li><li>Stay current with advancements in AI/ML and prompt engineering techniques.</li><li>Develop APIs and services for model consumption.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>Proven experience in machine learning and AI solution development.</li><li>Proficiency in Python and frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Hands-on experience with prompt engineering for LLMs (e.g., GPT, Claude, or similar).</li><li>Strong understanding of statistics, data modeling, and deep learning concepts.</li><li>Experience deploying models using Docker, Kubernetes, or Cloud ML services..</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with natural language processing (NLP), computer vision, or reinforcement learning.</li><li>Familiarity with MLOps practices and CI/CD pipelines for ML.</li><li>Experience with cloud AI platforms, such as:</li><li>AWS Bedrock, AWS SageMaker</li><li>GCP AI Platform, Vertex AI Generative AI Studio</li><li>Azure ML, Azure AI Studio</li></ul><p><b>Compensation and Benefits:</b></p><ul><li>Market Competitive Salary</li><li>Personal and Family Medical Insurance</li><li>Personal Life Insurance</li><li>Parental Medical Insurance</li><li>Personal and Family OPD</li><li>Weekly Meal</li><li>EOBI</li><li>Paid Technical Certifications</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

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AI/ML Engineer

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