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>
1193177
<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_02<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>

AI/ML Engineer

Princeton IT America

<p>Job Tittle: AI ML Engineer</p><p>Business Group: EEEC</p><p>Primary Work Location: Pune</p><p>Job Summary:</p><p>We are looking for a versatile and results-driven Data Scientist / Machine Learning Developer with 7+ years of experience to join our dynamic team. The ideal candidate will have a strong background in both data science and machine learning, capable of handling end-to-end processes from data analysis and feature engineering to model deployment and monitoring. This role demands a proactive and collaborative mindset, working closely with product owners and engineering teams to deliver scalable, production-ready ML solutions. You will take ownership of the entire model lifecycle driving experimentation, validation, deployment, and continuous optimization to create high-impact, AI-powered business value.</p><p>In this Role, Your Responsibilities Will Be:</p><p>&middot; Develop, train and deploy machine learning, deep learning AI models for a variety of business use cases such as classification, prediction, recommendation, NLP and Image Processing.</p><p>&middot; Design and implement end-to-end ML workflows from data ingestion and preprocessing to model deployment and monitoring.</p><p>&middot; Collect, clean, and preprocess structured and unstructured data from multiple sources using industry-standard techniques such as normalization, feature engineering, dimensionality reduction, and optimization.</p><p>&middot; Perform exploratory data analysis (EDA) to identify patterns, correlations, and actionable insights.</p><p>&middot; Apply advanced knowledge of machine learning algorithms including regression, classification, clustering, decision trees, ensemble methods, and neural networks.</p><p>&middot; Use Azure ML Studio, TensorFlow, PyTorch, and other ML frameworks to implement and optimize model architectures.</p><p>&middot; Perform hyperparameter tuning, cross-validation, and performance evaluation using industry-standard metrics to ensure model robustness and accuracy.</p><p>&middot; Integrate models and services into business applications through RESTful APIs developed using FastAPI, Flask or Django.</p><p>&middot; Build and maintain scalable and reusable ML components and pipelines using Azure ML Studio, Kubeflow, and MLflow.</p><p>&middot; Enforce and integrate AI guardrails: bias mitigation, security practices, explainability, compliance with ethical and regulatory standards.</p><p>&middot; Deploy models in production using Docker and Kubernetes, ensuring scalability, high availability, and fault tolerance.</p><p>&middot; Utilize Azure AI services and infrastructure for development, training, inferencing, and model lifecycle management.</p><p>&middot; Support and collaborate on the integration of large language models (LLMs), embeddings, vector databases, and RAG techniques where applicable.</p><p>&middot; Monitor deployed models for drift, performance degradation, and data quality issues, and implement retraining workflows as needed.</p><p>&middot; Collaborate with cross-functional teams including software engineers, product managers, business analysts, and architects to define and deliver AI-driven solutions.</p><p>&middot; Communicate complex ML concepts, model outputs, and technical findings clearly to both technical and non-technical stakeholders.</p><p>&middot; Stay current with the latest research, trends, and advancements in AI/ML and evaluate new tools and frameworks for potential adoption.</p><p>&middot; Maintain comprehensive documentation of data pipelines, model architectures, training configurations, deployment steps, and experiment results.</p><p>&middot; Drive innovation through experimentation, rapid prototyping, and the development of future-ready AI components and best practices.</p><p>&middot; Write modular, maintainable, and production-ready code in Python with proper documentation and version control.</p><p>&middot; Contribute to building reusable components and ML accelerators.</p><p>Qualifications:</p><p>&middot; Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field over 7+ years.</p><p>&middot; Proven experience as a Data Scientist, ML Developer, or in a similar role.</p><p>&middot; Strong command of Python and ML libraries (e.g., Azure ML Studio, scikit-learn, TensorFlow, PyTorch, XGBoost).</p><p>&middot; Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer).</p><p>&middot; ML Model Development: Strong grasp of statistical modelling, supervised/unsupervised learning, time-series forecasting, and NLP.</p><p>&middot; Proficiency in Python</p><p>&middot; Strong knowledge of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and statistical analysis techniques.</p><p>&middot; Proficiency in programming languages such as Python, R, or SQL.</p><p>&middot; Experience with data preprocessing, feature engineering, and model evaluation techniques.</p><p>&middot; MLOps &amp; Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control.</p><p>&middot; Familiarity with cloud platforms (e.g., Azure (Primarily), AWS and deployment tools.</p><p>&middot; Knowledge of DevOps platform.</p><p>&middot; Excellent problem-solving skills and attention to detail.</p><p>&middot; Strong communication and collaboration skills, with the ability to work effectively in a team environment.</p><p>Preferred Qualifications:</p><p>&middot; Proficiency in Python, with libraries like pandas, NumPy, scikit-learn, spacy, NLTK and Tensor Flow, Pytorch</p><p>&middot; Knowledge of natural language processing (NLP) and custom/computer, YoLo vision techniques.</p><p>&middot; Experience with Graph ML, reinforcement learning, or causal inference modeling.</p><p>&middot; Familiarity with marketing analytics, attribution modelling, and A/B testing methodologies.</p><p>&middot; Working knowledge of BI tools for integrating ML insights into dashboards.</p><p>&middot; Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process</p><p>&middot; Familiarity with DevOps practices and CI/CD pipelines.</p><p>&middot; Experience with big data technologies (e.g., Hadoop, Spark) is added advantage</p><p>&middot; Certifications in AI/ML</p><p>Job Type: Full-time</p><p>Pay: &#8377;2,500,000.00 - &#8377;3,000,000.00 per year</p><p>Experience:</p><ul><li>AI ML engineer: 7 years (Preferred)</li></ul><p>Work Location: In person</p>

AI ML Engineer

Cube Discipline

<p><b>Key Responsibilities:</b></p><ul><li>Design, build, and deploy <b>machine learning models</b> and <b>AI-driven solutions</b>.</li><li>Perform <b>data preprocessing</b>, feature engineering, and exploratory data analysis.</li><li>Work with large datasets and optimize models for <b>accuracy and performance</b>.</li><li>Collaborate with software developers and data engineers to integrate models into applications.</li><li>Research and experiment with new algorithms, tools, and techniques in AI/ML.</li><li>Monitor and maintain deployed models for consistent performance.</li><li>Document processes, model performance, and technical specifications.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science</b>, <b>Data Science</b>, <b>AI</b>, or related field.</li><li><b>2&ndash;5 years</b> of experience as an AI/ML Engineer or similar role.</li><li>Strong programming skills in <b>Python</b> and experience with frameworks such as <b>TensorFlow</b>, <b>PyTorch</b>, or <b>Scikit-learn</b>.</li><li>Good understanding of <b>data structures</b>, <b>algorithms</b>, and <b>statistics</b>.</li><li>Experience with <b>NLP</b>, <b>computer vision</b>, or <b>predictive analytics</b> (depending on project scope).</li><li>Familiarity with <b>cloud platforms</b> (AWS, Azure, GCP) and <b>MLOps</b> practices.</li><li>Strong problem-solving and analytical skills.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Experience with <b>deep learning architectures</b> (CNNs, RNNs, Transformers).</li><li>Knowledge of <b>Docker</b>, <b>Kubernetes</b>, or <b>CI/CD pipelines</b> for model deployment.</li><li>Exposure to <b>LLMs (Large Language Models)</b> and <b>Generative AI tools</b>.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Clean Harbors

<div><p><b>About CleanHarbors:</b></p><p></p><p><br>
Clean Harbors Inc. (www.cleanharbors.com) is a NYSE listed US based $6.5 billion company. Clean Harbors was founded in 1980 near Boston by Mr. Alan S. McKim, who today remains the company&rsquo;s Chairman and CTO.</p><p></p><p><br>
Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental, energy and industrial services. Clean Harbors employs a dedicated workforce of 25,000 employees and has over 450 service locations across the U.S., Canada and Mexico. Beyond addressing the environmental needs of its more than 300,000 customers, the Company has been on the front lines of addressing some of the largest emergency response events in North America of the past several decades including the BP Oil Spill in the Gulf of Mexico, the anthrax attacks in New York, the 2015 avian flu outbreak that devastated the poultry industry, Hurricanes Katrina, Rita and Sandy, and the oil pipeline breaks that affected the Yellowstone and Kalamazoo rivers, along with other major chemical releases into the environment.</p><p></p><p><br>
Clean Harbors India has been strategically established as the Global Capability Center (GCC) to serve our parent company. We take pride in serving some of the most tech savvy business stakeholders at Clean Harbors. The GCC employees form part of our globally integrated teams that provide cutting-edge IT solutions and production support across platforms. Our shared services teams work seamlessly with their global counterparts in providing critical 24x7 support in various functions including Finance, HR, Procurement, IT and Operations. Our aggressive growth plans open significant career advancement opportunities for our employees.</p><p></p><p><b><br>
Job Title: ML Engineer</b></p><p><b>
Experience: 6+ years</b></p><p><b>
Location: Hyderabad, Working from Office</b></p><p><b>
Working Hours: 12:00pm to 9:00pm</b></p><p><b>
RESPONSIBILITIES</b></p><ul><li>
Ensure that Health and Safety is the number one goal by following policies, processes, and always acting in a safe manner.</li><li><p>
Implement, configure, and manage various Microsoft Azure solutions and services: You will be responsible for implementing and managing a variety of Azure solutions and services, including but not limited to Azure Machine Learning, Azure Databricks, and Azure Data Factory.</p></li><li><p>
Collaborate with IT teams and business units to design Azure architectures: You will work closely with other IT teams and business units to design and implement Azure architectures that meet the needs of the organization.</p></li><li><p>
Assist in the migration of data, and services to the Azure cloud platform: You will play a key role in migrating existing data, and services to the Azure cloud platform and integration to both Cloud and OnPrem Applications.</p></li><li><p>
Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale: You will be responsible for designing and implementing data pipelines and engineering infrastructure that can support machine learning systems at an enterprise scale.</p></li><li><p>
Take offline models data scientists build and turn them into a real machine learning production system: You will work with data scientists to take their offline models and turn them into production-ready machine learning systems.</p></li><li><p>
Develop and deploy scalable tools and services for handling machine learning training and inference: You will develop and deploy tools and services that can handle machine learning training and inference at scale.</p></li></ul><p><b>
QUALIFICATIONS</b></p><ul><li>
A master&rsquo;s degree in computer science, Statistics, Mathematics, or a related field is required. A bachelor&rsquo;s degree with significant relevant experience would suffice.</li><li>
6+ years working in the IT industry with 4+ years of experience in data science, machine learning, or a related field.</li><li>
Strong understanding of machine learning techniques and algorithms: You should have a strong understanding of various machine learning techniques and algorithms, including supervised and unsupervised learning, as well as deep learning.</li><li>
Experience with Microsoft Azure&rsquo;s data services is a must: You should have hands-on experience with various data services offered by Microsoft Azure, such as Azure Machine Learning, Azure Databricks, and Azure Data Factory.</li><li>
Familiarity with Azure Cognitive Services for integrating AI capabilities (like vision, language, and decision functionalities) directly into applications.</li><li>
 Ability to work with large datasets and experience with data processing tools like SQL, Pandas, and big data technologies such as Apache Spark.</li><li>
Familiarity with version control systems like Git and development environments like Jupyter notebooks or VS Code and Azure DevOps (CI/CD) - MLOps process.</li><li>
Experience with data pipelines and engineering infrastructure: You should have experience designing and implementing data pipelines and engineering infrastructure for machine learning systems.</li><li>
Deep Understanding of statistical models, machine learning algorithms, and big data technologies. Proven experience in deploying machine learning models into production.</li><li><p>
Proficiency in Python, .NET C#, API development</p></li><li>
Experience with SQL, NoSQL databases and Data Fabric architectures.</li><li>
Must have experience building machine learning models using Scikit-learn and Narural Language Processing techniques and technologies.</li><li>
Familiarity with deep learning frameworks like PyTorch or Tensorflow preferred.</li><li><p>
Knowledge of GenAI preferred.</p></li><li><p>
Having experience using Docker, MLFlow, and version control systems such as Github/Gilab would be advantages.</p></li><li>
Strong communication skills to effectively collaborate with team members and stakeholders.</li><li>
Strong problem-solving skills and ability to think algorithmically.</li><li>
Ability to translate complex findings into a compelling narrative for non-technical stakeholders.</li><li>
Certifications like Microsoft Certified: Azure Data Scientist Associate or Microsoft Certified: Azure AI Engineer Associate will be preferred.</li></ul></div>

ML Engineer

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_02<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>

Quantum AI Systems

<p><b>Job Summary:</b><br/>The AI/ML Engineer will design, develop, and deploy advanced machine learning models and intelligent systems to solve complex business problems. The role involves working with large datasets, performing data preprocessing, experimenting with algorithms, and optimizing models for performance and scalability.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, implement, and deploy end-to-end machine learning solutions.</li><li>Perform data collection, cleansing, transformation, and feature engineering.</li><li>Train, validate, and optimize ML/DL models for production use.</li><li>Collaborate with data scientists and engineers to integrate models into applications.</li><li>Monitor model performance and retrain as necessary to maintain accuracy.</li><li>Stay updated with emerging AI technologies and frameworks.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Strong proficiency in <b>Python</b> and ML frameworks such as <b>TensorFlow</b> or <b>PyTorch</b>.</li><li>Solid understanding of machine learning algorithms and deep learning architectures.</li><li>Experience with <b>cloud ML platforms</b> (AWS Sagemaker, Azure ML, or Google Vertex AI).</li><li>Familiarity with version control, CI/CD pipelines, and model deployment practices.</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.</li></ul><p>Job Types: Full-time, Contractual / Temporary</p><p>Pay: &#8377;750,000.00 - &#8377;1,150,000.00 per year</p><p>Experience:</p><ul><li>AI and ML: 4 years (Required)</li><li>Python, TensorFlow/PyTorch: 4 years (Required)</li><li>Cloud ML services: 4 years (Preferred)</li></ul><p>Work Location: Remote</p>

Liamliang Traveller private limited

<p>We are looking for an innovative and results-driven <b>AI/ML Engineer (2+ years of exp) with strong expertise in Python </b>to design, develop, and deploy AI and machine learning models. You will collaborate with cross-functional teams to solve real-world problems using AI solutions that drive business impact.</p><p>Key Responsibilities:</p><ul><li>Design, develop, and implement AI/ML models and algorithms using Python.</li><li>Build and optimize data pipelines for training and deploying models at scale.</li><li>Work with large, complex datasets to extract meaningful insights and features.</li><li>Develop production-ready code and deploy AI models into cloud or on-prem environments.</li><li>Collaborate with software engineers, data scientists, and product teams to integrate AI solutions into products or services.</li><li>Stay updated with the latest AI/ML frameworks and Python libraries <b>(e.g., TensorFlow, PyTorch, scikit-learn, Pandas).</b></li><li>Conduct research and experiments to solve complex business problems using AI/ML techniques.</li><li>Document processes, experiments, and results clearly for stakeholders.</li><li>Ensure the scalability, reliability, and efficiency of AI systems.</li></ul><p>Requirements:</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>2+ years of experience in AI/ML development.</li><li>Strong proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn, NumPy, Pandas).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and data preprocessing techniques.</li><li>Experience with version control systems (e.g., Git).</li><li>Familiarity with deploying models using cloud platforms (AWS, Azure, GCP) or Docker/Kubernetes.</li><li>Excellent problem-solving and analytical skills.</li><li>Good communication and teamwork skills.</li><li>Experience with Natural Language Processing (NLP) or Computer Vision.</li></ul><p>Immediate joiner</p><p>only work from office</p><p>Note; candidate who apply for this role must fill the screening questions</p><p>Job Type: Full-time</p><p>Pay: Up to &#8377;1,200,000.00 per year</p><p>Benefits:</p><ul><li>Commuter assistance</li><li>Paid sick time</li><li>Paid time off</li></ul><p>Application Question(s):</p><ul><li>what is your total experience as an AI/ML Engineer?</li><li>Which Python AI/ML frameworks have you worked with?</li><li>How soon can you join ?</li><li>What is your expected salary ?</li><li>what is your current salary ?</li><li>Where are you based?</li><li>Do you think this role is a good match for your skills and experience? If yes, please tell us why</li></ul><p>Work Location: In person</p>

Search 10000+ Ml engineer jobs near you this November. New roles added regularly across leading industries. Apply today.

10000 ml engineer jobs NEAR_ME

AI/ML Engineer

AI ML Engineer

AI/ML Engineer

ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer