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ai ml engineer

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>

AI/ML Engineer

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>

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>

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>

LAPP Group

<div>
 <p>
  We are seeking a highly skilled and experienced AI/ML Engineer to join our team and lead the design, development, and deployment of cutting-edge machine learning and AI solutions. The ideal candidate will have a strong background in Generative AI, Large Language Models (LLMs), and hands-on experience with Python and Microsoft Azure. This role involves building and optimizing AI systems to solve complex business problems while leveraging the latest advancements in artificial intelligence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
  </li>
  <li>
   Build and fine-tune Generative AI models (e.g., GPT, BERT, DALL-E) and implement solutions for tasks like text generation, summarization, chatbots, and more
  </li>
  <li>
   Work with Large Language Models (LLMs), including training, fine-tuning, and deploying them for business-specific applications
  </li>
  <li>
   Leverage Microsoft Azure AI Services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI) for model development, deployment, and scaling
  </li>
  <li>
   Design and deploy AI/ML solutions on Azure platforms such as Azure Kubernetes Service (AKS) or Azure Functions
  </li>
  <li>
   Deploy and manage AI/ML models using MLOps practices, including containerization with Docker, orchestration with Kubernetes, and CI/CD pipelines
  </li>
  <li>
   Integrate AI/ML models into applications via APIs and microservices, ensuring seamless interaction with other systems
  </li>
  <li>
   Stay updated with advancements in AI and machine learning, including emerging tools, frameworks, and methodologies
  </li>
  <li>
   Ensure ethical AI practices, including bias mitigation, interpretability and responsible use of generative models
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence or a related field
  </li>
  <li>
   4&ndash;12 years of hands-on experience in machine learning, deep learning and AI model development
  </li>
  <li>
   Expertise in Python
  </li>
  <li>
   Experience with Generative AI models
  </li>
  <li>
   Proficiency in working with Large Language Models (LLMs) and techniques like prompt engineering and embeddings
  </li>
  <li>
   Strong knowledge of Microsoft Azure AI Services and deployment tools (Azure Machine Learning, Cognitive Services, Azure OpenAI)
  </li>
  <li>
   Strong understanding of data preprocessing, feature engineering and working with large datasets
  </li>
  <li>
   Knowledge of NLP tasks like text generation, summarization and sentiment analysis
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Do you have questions about the job? Or would you like to apply directly and pursue a career at LAPP? Contact Evanthia Papadopoulou from HR!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Mail:
  </strong>
  evanthia.papadopoulou@lapp.com
 </p>
</div>


ServoEdge Technologies

<p><b>About Us</b></p><p>At Servoedge, we are at the forefront of innovation, building intelligent solutions that leverage the power of artificial intelligence to solve complex challenges. We believe in creating products that are not only technologically advanced but also intuitive and impactful. We are a dynamic, fast-paced team dedicated to pushing the boundaries of what's possible in the AI space.</p><p><b>The Role</b></p><p>We are looking for a talented and experienced AI/ML Engineer with <b>3-6 years</b> 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></ul><p>Prior experience in a startup environment</p><p>Job Type: Full-time</p><p>Pay: Up to &#8377;750,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Ability to commute/relocate:</p><ul><li>Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Experience:</p><ul><li>AI/ML : 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Optum

<div><p>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start <b>Caring. Connecting. Growing together.</b></p><p></p><p><b><br>
Primary Responsibilities:</b></p><ul><li>
Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing data or inputs</li><li>
Conduct model testing, validation, and optimization to enhance performance</li><li>
Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets</li><li><p>
Stay current with the latest advancements in generative AI technologies and practices</p></li><br>
<p></p><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul><p><b>
Required Qualifications:</b></p><ul><li>
Graduate degree or equivalent experience</li><li>
4+ years of experience in AI/ML projects</li><li>
Certifications in AI/ML</li><li>
Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP</li><li>
Working experience of AI/ML projects deployed in Production</li><li>
Experience in developing API's (FastAPI)</li><li>
Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)</li><li>
Working experience on Copilot for Coding</li><li>
Working experience of projects in Pharmacy area</li><li>
Knowledge of UAIS</li><li>
Knowledge of MLRB Process</li><li>
Knowledge and Experience of working with Large Language Models, RAG, Transformers</li><li>
Good understanding and Experience of GitHub Management, CodeQL etc.</li><li>
Good Understanding of Agentic AI, LangGraph, LangChain</li><li>
Proficiency with cloud development environments such as Azure</li><li>
Proficiency with experience in ML and NLP</li><li>
Proficiency in libraries such as Hugging face and OpenAI API</li><li>
Proven good grasp of using LLMs, Deploying LLMs</li><li>
Proven solid programming skills in Python</li></ul><p></p><p><i><br>
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.</i></p></div>

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