deep learning engineer

HYUNDAI MOBIS

<div><p>To strengthen our European headquarter in Frankfurt am Main, we are currently looking for a</p>
<h1 class="jobSectionHeader"><b>Sensor Fusion Deep Learning Engineer (m/f/d)</b></h1>
<h2 class="jobSectionHeader"><b>About us</b></h2>
<p>MOBIS Parts Europe N.V. is the European branch of Hyundai MOBIS, a worldwide leading supplier of genuine parts and accessories in the field of automotive. Together with Hyundai Motors and Kia Motors, Hyundai MOBIS is one of the biggest companies within the Hyundai group. In addition to research and development of high-tech products for passenger cars, MOBIS Parts Europe N.V. is responsible for the whole aftersales business of genuine parts and accessories for Hyundai Motors and Kia Motors in Europe.</p>
<h2 class="jobSectionHeader"><b>Your profile</b></h2>
<ul><li>Masters Degree in Computer Science, Electrical engineering, Robotics or equivalent.</li>
<li>3+ years of experience in developing deep learning models for Autonomous Driving, Computer Vision or Robotics applications</li>
<li>Strong programming skills in Python along with proficiency in deep learning frameworks like PyTorch or TensorFlow</li>
<li>Solid foundation in mathematics relevant to Machine Learning and Robotics: Linear Algebra, Probability/Statistics and 3D Geometry</li>
<li>Hands-on experience in implementing training and evaluation pipelines for multi-modal perception problems like 3D object detection</li>
<li>Knowledge of optimizing models for deployment (Quantization, Pruning, ONNX, TensorRT) is desired</li>
<li>Experience with C/C++ for model inference and systems integration is beneficial</li>
<li>Comfortable working in Linux-based development environments, with tools such as Git, Docker, ROS2 and CI/CD workflows</li>
<li>Willingness to learn new technologies based on project needs</li>
<li>Excellent communication skills and ability to work collaboratively in a multidisciplinary engineering and research team in English</li>
</ul><h2 class="jobSectionHeader"><b>Your tasks</b></h2>
<ul><li>Identify state-of-the-art Deep Neural Network architectures for sensor fusion and end-to-end learning to evaluate applicability for autonomous driving applications.</li>
<li>Implement efficient DNN training pipelines and optimize DNN models for deployment on embedded platforms with hardware constraints.</li>
<li>Measure performance of neural networks and iteratively improve functional performance on use-cases.</li>
<li>Investigate issues in existing algorithm software and improve them by providing guidance for solution.</li>
<li>Document methods, experiments and results; prepare technical reports and presentations for internal and external stakeholders.</li>
<li>Curate large-scale datasets to ensure high-quality training and validation.</li>
<li>Collaborate on deploying trained networks into C/C++ based integration environments for on-vehicle testing.</li>
</ul><h2 class="jobSectionHeader"><b>What we offer you</b></h2>
<ul><li>You will become an important member of an international company that is strongly focusing on the development of the latest automotive technologies.</li>
<li>Take on an exciting position that will directly impact the company&rsquo;s direction in the automotive industry.</li>
<li>Long-term career perspective and promising growth opportunities.</li>
<li>Flexible work time model that ensures an attractive work-life balance.</li>
<li>Modern office space with table tennis room, thinking room, and fully equipped meeting rooms.</li>
<li>Cafeteria area stocked daily with lunch snacks, and fresh fruits; in addition, meal vouchers are given monthly.</li>
<li>Free secured underground parking lot for bikes and cars.</li>
<li>Great public transportation options.</li>
<li>Many corporate benefits including discounts on nearby gym memberships.</li>
<li>Regular company events, yearly sports competitions and cultural days organized by our DEI Allies team.</li>
<li>Company pension</li>
</ul><p><b>Panna Pertics</b></p>
<p>Talent Acquisition Partner</p><br>
<p>
</p><p>Mobis Parts Europe N.V.</p>
<p>Zweigniederlassung Deutschland</p>
<p>Frankfurter Strasse 60-68</p>
<p>65760 Eschborn</p></div>

Sensor Fusion Deep Learning Engineer (m/f/d)

OMEGGA

<div><h2 class="jobSectionHeader"><b>Our Mission</b></h2><p>
At Omegga, we're on a mission to reinvent how AI and spectroscopy can drive positive change for animals, people and the planet. We started with a clear objective: eliminate chick culling on a global scale through early, non-invasive in-ovo sex detection. This outdated practice still impacts billions of lives, and we're here to change that. We're not building for the niche, we're building for the global standard.</p><p>
Today, our systems are already in use, and the focus is on scaling performance, robustness, and deployment across an international customer base. For us, scaling means more than growth. It means changing an industry for the better.</p><p>
We are looking for people who take ownership, think in systems, and want to help turn a working product into the industry benchmark. If that sounds like you, we'd love to hear from you.</p><h2 class="jobSectionHeader"><b><br>
What We Are Looking For</b></h2><p>
We are looking for a Deep Learning Engineer with strong research depth and hands-on implementation skills to push our model performance forward.</p><p>
You will work on deep learning architectures and iterate rapidly: from hypothesis and experiments to evaluation, monitoring, and integration into our algorithm stack. Your work will directly improve detection quality and robustness in a real-world, noisy environment.</p><h2 class="jobSectionHeader"><b><br>
Your Mission: What You'll Do</b></h2><ul><li><p><b>
Advance our deep learning models through research iteration:</b> develop and test architectural improvements, training objectives, and optimization techniques. You will own the loop from idea experiment conclusion next iteration.</p></li><li><p><b>
Build rigorous evaluation and benchmarks:</b> define evaluation sets, establish clear metrics (precision, recall, accuracy, calibration), and create repeatable benchmark runs so improvements are measurable and comparable over time.</p></li><li><p><b>
Own monitoring of model quality:</b> set up monitoring for model performance and data shifts, define alerting signals, and build lightweight reporting that makes regressions visible early.</p></li><li><p><b>
Partner cross-functionally to turn findings into impact:</b> work with data/engineering teams to improve datasets and labeling strategies, and with product/ops stakeholders to align on what &ldquo;good&rdquo; looks like in practice.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Your Profile: Qualifications &amp; Requirements</b></h2><ul><li><p><b>
MSc in Computer Science</b> or a related field with 4+ years of applied deep learning experience, or a <b>PhD</b> &mdash; paired with a proven track record of taking research from idea to working system.</p></li><li><p>
Strong understanding of optimizing <b>modern neural architectures,</b> with demonstrated depth in <b>transformer architectures</b> and practical experience adapting them to specific domains (e.g., attention variants, efficiency improvements, robustness, training stability).</p></li><li><p>
Ability to <b>architect problem-specific models</b> &mdash; adapt modern architectures, losses, and training objectives to the structure of the task, treating published work as a starting point rather than reaching for an off-the-shelf model</p></li><li><p>
Strong <b>Python</b> deep learning stack experience (e.g. PyTorch, Tensorflow), including training pipelines, experimentation discipline, and reproducibility.</p></li><li><p>
Real <b>depth in the mathematical core</b> of modern ML: probability, optimization, information theory, statistical inference. You can derive a loss function rather than just import one.</p></li><li><p>
Solid experience with <b>experiment tracking and model evaluation tooling</b> (e.g. Weights &amp; Biases or similar), and a strong bias for measurement-driven progress.</p></li><li><p>
Fluency in English, German is a plus</p></li></ul><h2 class="jobSectionHeader"><b><br>
Nice to have</b></h2><ul><li><p>
Experience with <b>domain adaptation</b> and evaluation in <b>imbalanced settings</b> (rare events, high cost of misses/false alarms).</p></li><li><p>
Familiarity with deployment-adjacent concerns: model packaging, performance constraints, and continuous evaluation in changing real-world conditions.</p></li><li><p>
Experience working with sensor/<b>time-series</b> or industrial data, where edge cases and dataset shifts are the norm.</p></li><li><p>
Experience with <b>agentic AI development workflows</b> to speed up experimentation (analysis, ablations, test scaffolding) while maintaining careful review and scientific rigor.</p></li><li><p>
Proven ability to <b>deliver in fast-paced</b>, high-ambiguity <b>environments</b>.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Why Us</b></h2><p><b>
Mission &amp; Technical Challenge:</b> At Omegga, you work on problems that are both technically demanding and globally relevant. We build deep-tech solutions with real-world impact, pushing the boundaries of what&rsquo;s currently possible.</p><p><b>
Relocation Support:</b> To make your move to Munich smooth, we offer a fully furnished apartment within walking distance of the office for up to 6 months.</p><p><b>
Work Environment:</b> Located in Munich&rsquo;s Werksviertel, we combine a focused, high-performance culture with flexibility. Up to 50% remote work, depending on role and execution needs.</p><p><b>
Compensation:</b> A competitive, market-aligned salary that reflects your contribution, with clear linkage to impact.</p><p><b>
Time Off:</b> 28 vacation days per year, plus December 24th and 31st off.</p></div>

Senior Deep Learning Engineer (m/f/d)

Accenture in India

<div>
 <strong>
  Project Role :
 </strong>
 AI / ML Engineer
 <br/>
 <br/>
 <strong>
  Project Role Description :
 </strong>
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 <br/>
 <br/>
 <strong>
  Must have skills :
 </strong>
 Machine Learning (ML)
 <br/>
 <br/>
 <strong>
  Good to have skills :
 </strong>
 NA
 <br/>
 <br/>
 <strong>
  Minimum 5 Year(s) Of Experience Is Required
  <br/>
  <br/>
 </strong>
 <strong>
  Educational Qualification :
 </strong>
 15 years full time education
 <br/>
 <br/>
 Summary:
 <br/>
 <br/>
 As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing, contributing to innovative solutions that meet the needs of diverse stakeholders.
 <br/>
 <br/>
 Roles &amp; Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Expected to be an SME.
  </li>
  <li>
   Collaborate and manage the team to perform.
  </li>
  <li>
   Responsible for team decisions.
  </li>
  <li>
   Engage with multiple teams and contribute on key decisions.
  </li>
  <li>
   Provide solutions to problems for their immediate team and across multiple teams.
  </li>
  <li>
   Facilitate knowledge sharing and mentoring within the team to enhance overall performance.
  </li>
  <li>
   Evaluate and implement new technologies and methodologies to improve project outcomes.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Professional &amp; Technical Skills:
 <br/>
 <br/>
 <ul>
  <li>
   Must To Have Skills: Proficiency in Machine Learning (ML).
  </li>
  <li>
   Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
  </li>
  <li>
   Experience with cloud platforms and services for deploying AI solutions.
  </li>
  <li>
   Familiarity with data preprocessing and feature engineering techniques.
  </li>
  <li>
   Ability to work with large datasets and perform data analysis.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information:
 <br/>
 <br/>
 <ul>
  <li>
   The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
  </li>
  <li>
   This position is based at our Hyderabad office.
  </li>
  <li>
   A 15 years full time education is required.
   <br/>
  </li>
 </ul>
</div>


AI / ML Engineer

<div>
 <strong>
  Project Role :
 </strong>
 AI / ML Engineer
 <br/>
 <br/>
 <strong>
  Project Role Description :
 </strong>
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 <br/>
 <br/>
 <strong>
  Must have skills :
 </strong>
 Machine Learning (ML)
 <br/>
 <br/>
 <strong>
  Good to have skills :
 </strong>
 NA
 <br/>
 <br/>
 <strong>
  Minimum 7.5 Year(s) Of Experience Is Required
  <br/>
  <br/>
 </strong>
 <strong>
  Educational Qualification :
 </strong>
 15 years full time education
 <br/>
 <br/>
 Summary:
 <br/>
 <br/>
 As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing.
 <br/>
 <br/>
 Roles &amp; Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Expected to be an SME.
  </li>
  <li>
   Collaborate and manage the team to perform.
  </li>
  <li>
   Responsible for team decisions.
  </li>
  <li>
   Engage with multiple teams and contribute on key decisions.
  </li>
  <li>
   Expected to provide solutions to problems that apply across multiple teams.
  </li>
  <li>
   Lead research and development efforts in AI/ML technologies.
  </li>
  <li>
   Implement and optimize machine learning models.
  </li>
  <li>
   Conduct data analysis and interpretation for business insights.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Professional &amp; Technical Skills:
 <br/>
 <br/>
 <ul>
  <li>
   Must To Have Skills: Proficiency in Machine Learning.
  </li>
  <li>
   Strong understanding of statistical analysis and machine learning algorithms.
  </li>
  <li>
   Experience with data visualization tools such as Tableau or Power BI.
  </li>
  <li>
   Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
  </li>
  <li>
   Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information:
 <br/>
 <br/>
 <ul>
  <li>
   The candidate should have a minimum of 12 years of experience in Machine Learning.
  </li>
  <li>
   This position is based at our Bhubaneswar office.
  </li>
  <li>
   A 15 years full-time education is required.
   <br/>
  </li>
 </ul>
</div>


<div>
 <strong>
  Project Role :
 </strong>
 AI / ML Engineer
 <br/>
 <br/>
 <strong>
  Project Role Description :
 </strong>
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 <br/>
 <br/>
 <strong>
  Must have skills :
 </strong>
 Large Language Models (LLMs)
 <br/>
 <br/>
 <strong>
  Good to have skills :
 </strong>
 NA
 <br/>
 <br/>
 <strong>
  Minimum 3 Year(s) Of Experience Is Required
  <br/>
  <br/>
 </strong>
 <strong>
  Educational Qualification :
 </strong>
 15 years full time education
 <br/>
 <br/>
 Summary:
 <br/>
 <br/>
 As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities in this position.
 <br/>
 <br/>
 Roles &amp; Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Expected to perform independently and become an SME.
  </li>
  <li>
   Required active participation/contribution in team discussions.
  </li>
  <li>
   Contribute in providing solutions to work related problems.
  </li>
  <li>
   Collaborate with cross-functional teams to align AI solutions with business objectives.
  </li>
  <li>
   Continuously research and implement emerging AI technologies to improve system performance.
  </li>
  <li>
   Document technical designs and processes to support knowledge sharing within the team.
  </li>
  <li>
   Assist junior team members by providing guidance and support in their development tasks.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Professional &amp; Technical Skills:
 <br/>
 <br/>
 <ul>
  <li>
   Must To Have Skills: Proficiency in Large Language Models (LLMs).
  </li>
  <li>
   Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
  </li>
  <li>
   Strong understanding of generative artificial intelligence models and their practical applications.
  </li>
  <li>
   Familiarity with deep learning frameworks and neural network architectures.
  </li>
  <li>
   Ability to develop and optimize AI pipelines for production environments.
  </li>
  <li>
   Knowledge of chatbot development and image processing techniques.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information:
 <br/>
 <br/>
 <ul>
  <li>
   The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
  </li>
  <li>
   This position is based at our Coimbatore office.
  </li>
  <li>
   A 15 years full time education is required.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 , 15 years full time education
</div>


<div>
 <strong>
  Project Role :
 </strong>
 AI / ML Engineer
 <br/>
 <br/>
 <strong>
  Project Role Description :
 </strong>
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 <br/>
 <br/>
 <strong>
  Must have skills :
 </strong>
 Large Language Models (LLMs), SAP CRM interaction Center
 <br/>
 <br/>
 <strong>
  Good to have skills :
 </strong>
 NA
 <br/>
 <br/>
 <strong>
  Minimum 3 Year(s) Of Experience Is Required
  <br/>
  <br/>
 </strong>
 <strong>
  Educational Qualification :
 </strong>
 15 years full time education
 <br/>
 <br/>
 Summary:
 <br/>
 <br/>
 As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.
 <br/>
 <br/>
 Roles &amp; Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Expected to perform independently and become an SME.
  </li>
  <li>
   Required active participation/contribution in team discussions.
  </li>
  <li>
   Contribute in providing solutions to work related problems.
  </li>
  <li>
   Collaborate with team members to refine and optimize AI models and system architectures.
  </li>
  <li>
   Assist in documenting technical processes and best practices to support knowledge sharing.
  </li>
  <li>
   Support junior team members by providing guidance and sharing expertise to foster their professional growth.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Professional &amp; Technical Skills:
 <br/>
 <br/>
 <ul>
  <li>
   Must To Have Skills: Proficiency in Large Language Models (LLMs).
  </li>
  <li>
   Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
  </li>
  <li>
   Strong understanding of generative artificial intelligence models and their practical applications.
  </li>
  <li>
   Familiarity with deep learning frameworks and neural network architectures.
  </li>
  <li>
   Ability to develop and maintain production-quality AI pipelines ensuring robustness and scalability.
  </li>
  <li>
   Knowledge of chatbot development and image processing techniques.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information:
 <br/>
 <br/>
 <ul>
  <li>
   The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
  </li>
  <li>
   This position is based at our Indore office.
  </li>
  <li>
   A 15 years full time education is required.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 , 15 years full time education
</div>


Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role : Gen AI Engineer
<br>
Location : Chennai, Hyderabad &amp; Pune
<br>
Experience range : 6 to 10 years
<br>
<br>
1. Proficiency in programming languages like Python, and AI/ML frameworks such as TensorFlow and PyTorch Cloud Platforms: Experience with platforms like Azure AI Foundry and related services such as Azure OpenAI, Azure AI Search, and Azure service.
</div><div>2. Experience with AI/ML concepts, including deep learning, natural language processing (NLP), and related algorithms.
</div><div>3. Familiarity with large language model (LLM) frameworks like Langchain.
</div><div>4. Experience with cloud platforms and AI services (e.g., Azure Cognitive Services, AWS SageMaker).
</div><div>5. Frameworks: Experience with agentic frameworks and building automated workflows<br>
</div></div></div></div><div></div><br>
<div><div><div>Location
</div><div>Chennai
</div></div><div><div>Job Function
</div><div>IT INFRASTRUCTURE SERVICES
</div></div><div><div>Role
</div><div>Engineer
</div></div><div><div>Job Id
</div><div>419363
</div></div><div><div>Desired Skills
</div><div>Artificial Intelligence | Python
</div></div></div><div>Desired Candidate Profile
</div><div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

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