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assistant manager - data engineering

deep learning engineer

LAPP Group

<div>
 
 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.
 
 
 
 
 
 
 Responsibilities:
 
 
 <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>
 
 
 
 
 
 Qualifications:
 
 
 <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>
 
 
 
 
 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!
 
 
 
 
 
 
 Mail:
 
 evanthia.papadopoulou@lapp.com
 
</div>

AI/ML Engineer

Rakuten Symphony

<div>
 
 
 Job Title: Data Scientist
 
 
 
 Minimum 5 to 6 years of experience in Deep Learning and Machine Learning
 
 
 
 Location: Bangalore (Hybrid)
 
 
 
 
 
 
 
 Why should you choose us?
 
 
 
 Rakuten Symphony is a Rakuten Group company, that provides global B2B services for the mobile telco industry and enables next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan&rsquo;s newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business &ndash; from sales to engineering, support functions to product development. Let&rsquo;s build the future of mobile telecommunications together!
 
 
 
 
 
 
 What do we expect from you
 
 
 
 Rakuten is seeking a dynamic and experienced
 
 Generative AI
 
 with specialized expertise in training
 
 Large Language Models (LLMs)
 
 and implementing workflows based on
 
 Retrieval-Augmented Generation (RAG)
 
 . As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of Rakuten's generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows.
 
 
 
 
 
 You must have deep technical experience working with technologies related to multimodal, Anomaly Detection and Forecasting, image generation, from model fine-tune to prompt engineering. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help build AI powered applications for the user.
 
 
 
 
 
 
 Required Skills and Expertise:
 
 
 <ul>
 <li>
 Solve customer problems by creating solutions using our innovative technology for Machine Learning and Deep Learning including Large Language Models, Computer Vision systems, Recommender systems, and Advanced Generative AI systems.
 </li>
 <li>
 Strong experience and expertise in Machine Learning for Time Series, Deep Learning, Classical machine learning, clustering, dimensionality reduction and Reinforcement learning. Ability to quickly learn and implement state-of-the-art, and the thought process of generating novel ideas.
 </li>
 <li>
 Model Development and Deployment : Experience in Designing, developing, and optimizing generative models to generate realistic and diverse outputs. Implementing and fine-tune state-of-the-art generative AI architectures to achieve desired performance metrics. Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
 </li>
 <li>
 Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows and refine foundation model infrastructure to support the deployment of optimized AI models. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity, streaming, and caching, for model performance enhancements.
 </li>
 <li>
 Implement strategies for efficient and effective training of LLMs to achieve optimal performance and design and implement RAG-based workflows to enhance content generation and information retrieval.
 </li>
 <li>
 Research and Development: Stay up-to-date with the latest advancements in generative AI, including LLMs, GPTs, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other related techniques. Conduct research to identify and develop novel generative models and algorithms.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications and Skills
 
 
 
 <ul>
 <li>
 Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
 </li>
 <li>
 
 4-6 years
 
 &rsquo; experience demonstrating an established track record in Deep Learning and Machine Learning; experience with GPUs as well as expertise in using deep learning frameworks such as
 
 TensorFlow or PyTorch
 
 .
 </li>
 <li>
 Experience working and building ML Solutions in
 
 Telecommunication
 
 Domain.
 </li>
 <li>
 Strong data analytical and problem-solving skills, preferably in the telecom domain.
 </li>
 <li>
 Strong coding development and debugging skills. Including experience with
 
 Python, C/C++, Bash, as well as Cloud services, Spark and Linux.
 
 </li>
 <li>
 Experience working with
 
 DevOps
 
 and
 
 MLOps
 
 including but not limited to
 
 Docker/Containers, Kuberzetes, and Data Center or Cloud AI
 
 deployments.
 </li>
 <li>
 Ability to multitask effectively in a dynamic environment.
 </li>
 <li>
 Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
 </li>
 <li>
 Successful candidates will be able to demonstrate a strong desire to share knowledge with clients, partners, and co-workers.
 </li>
 </ul>
 
 
 
 
 
 
 What we look for?
 
 
 
 <ul>
 <li>
 Must have sense of ownership for algorithm/product.
 </li>
 <li>
 Must be comfortable working with senior and junior level colleagues in various cultures.
 </li>
 <li>
 Must be highly collaborative.
 </li>
 <li>
 Must be comfortable working with people in different geographies.
 </li>
 <li>
 Must be comfortable working in diverse/multi-cultural environment
 </li>
 </ul>
 
 
 
 
 
 RAKUTEN SHUGI PRINCIPLES
 
 :
 
 
 Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
 
 
 
 Always improve, always advance
 
 . Only be satisfied with complete success - Kaizen.
 
 
 
 Be passionately professional
 
 . Take an uncompromising approach to your work and be determined to be the best.
 
 
 
 Hypothesize - Practice - Validate - Shikumika
 
 . Use the Rakuten Cycle to success in unknown territory.
 
 
 
 Maximize Customer Satisfaction
 
 . The greatest satisfaction for workers in a service industry is to see their customers smile.
 
 
 
 Speed!! Speed!! Speed!!
 
 Always be conscious of time. Take charge, set clear goals, and engage your team.
 
</div>

Data Scientist

Impetus

<div>
 
 Locations: Bangalore, Noida, Gurgaon, Pune, Indore, Hyderabad.
 
 
 
 
 
 Experience: 4 - 12 Years.
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Possess strong logical and analytical abilities in problem-solving and solution designing
 </li>
 <li>
 Use case derivation and solution creation from structured/unstructured data
 </li>
 <li>
 Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improvethe performance &amp; capabilities of LLMs
 </li>
 <li>
 Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
 </li>
 <li>
 An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
 </li>
 <li>
 Work closely with business and product management teams to develop and implement analytics solutions.
 </li>
 <li>
 Communicate results to diverse technical and non-technical audiences.
 </li>
 <li>
 Research and Innovation: Stay up to date with the latest advancements in the fields of AI.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 
 
 
 
 Python, Scikit-Learn, Transformer, PyTorch, SQL, LangChain
 
 
 Model building, Hyperparameter tuning and Model performance metrics, Model Deployment of machine learning models
 
 
 Deep learning/LLM models finetuning and evaluation
 
 
 
 Good to Have Skills -
 
 
 
 LLMOps
 
 
 Cloud (AWS)
 
 
 
</div>

Microsoft

<div>
 Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft&rsquo;s ecosystem including BizChat, Office and Windows.
 
 
 As a
 
 Applied Scientist II
 
 in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them.
 </li>
 <li>
 Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets.
 </li>
 <li>
 Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration.
 </li>
 <li>
 This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued.
 </li>
 <li>
 You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., AI, ML, statistics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., AI, ML, statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., AI, ML, statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
 
 </li>
 </ul>
 #M365Core
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Applied Scientist II

Oleria

<div>
 About Oleria:
 
 
 Oleria provides adaptive and autonomous identity security solutions that help organizations accelerate at the pace of change, trusting that their data is protected. Oleria enables organizations to have comprehensive visibility into their access posture and autonomously identifies and mitigates access risks before they can be exploited. Founded by cybersecurity industry veterans with decades of experience building and operating some of the world's largest security programs, Oleria allows organizations to pursue their best ideas, removing the barriers that keep team members from collaborating. Oleria has received over $43M in funding from Evolution Equity Partners, Salesforce Ventures, Tapestry VC, Zscaler, and other technology luminaries. Oleria sets business free. For more information, please visit www.oleria.com and follow Oleria on LinkedIn and Twitter.
 
 
 Oleria was founded by notable industry senior leaders Jim Alkove and Jagadeesh Kunda, with deep security, data, and SaaS experience building and securing some of the world&rsquo;s largest platforms and products used by billions of people worldwide every day. Our customers are Fortune 500 corporations and public sector organizations, making your contributions vital to improving data security for millions worldwide. We are proud to be recognized as a Best Place to Work and Best Startup to Work For by Built In Seattle!
 
 
 
 Job Overview:
 
 
 
 As an early hire, you will have an opportunity to build as well as help architect our systems and platforms, including our development practices and processes. Many fundamental choices have not yet been made, so this greenfield background is an unusual opportunity to have broad ownership and ability to define requirements and goals for across product delivery, tools, and process..
 
 
 Above all, you have a bias for action. You love getting product out the door and learning from tight feedback loops, and love the satisfaction you'll receive from knowing that your contributions are directly improving the security of data for millions of people in the world.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Collaborate with the team to develop a top-tier user interface, featuring advanced dashboard capabilities and complex data visualizations for both mobile and web platforms
 </li>
 <li>
 Seamlessly integrate front-end components with custom-built APIs
 </li>
 <li>
 Craft and implement responsive, efficient interfaces using modern technologies like React
 </li>
 <li>
 Actively engage in technical discussions, advocating for your principles while being open to different viewpoints
 </li>
 <li>
 Provide technical leadership in developing our frontend architecture, emphasizing performance, scalability, and security
 </li>
 <li>
 Partner with the product team to align development efforts with the product vision and roadmap
 </li>
 <li>
 Stay ahead of the curve by researching and introducing cutting-edge front-end technologies and practices
 
 
 
 </li>
 </ul>
 
 Skills Required:
 
 
 
 <ul>
 <li>
 3 - 6 years of experience in frontend development, with a strong portfolio showcasing your skills
 </li>
 <li>
 Expertise in technologies such as React, HTML, CSS and JavaScript
 </li>
 <li>
 Good knowledge level of Typescript. Our Frontend team loves Typescript!
 </li>
 <li>
 Comprehensive understanding of the software development lifecycle, including testing, deployment, and operational best practices
 </li>
 <li>
 Experience in redesigning and rebuilding UIs for commercial products
 </li>
 <li>
 Knowledge of various Frontend design patterns including composition and compounding components
 </li>
 <li>
 Proven track record of developing and managing high-scale commercial SaaS products
 </li>
 <li>
 Familiarity with cloud platforms (AWS preferred), and modern deployment tools like CI/CD, containers, and Terraform
 </li>
 <li>
 Commitment to secure coding practices and a thorough understanding of the entire development and deployment process
 
 
 
 </li>
 </ul>
 
 Bonus Qualifications:
 
 
 
 <ul>
 <li>
 BS, Masters, or PhD in computer science or related, or equivalent experience
 </li>
 <li>
 Advanced knowledge of AWS Services
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Independent learner, with an open mind, and a team-oriented mentality with the ability and willingness to grow
 </li>
 <li>
 A background in cybersecurity or SaaS, particularly in Access, Identity, and Governance
 
 
 
 </li>
 </ul>
 
 What we offer:
 
 
 
 <ul>
 <li>
 Competitive salary, equity, and benefits package
 </li>
 <li>
 Opportunities for professional growth and advancement in a fast-growing company
 </li>
 <li>
 The chance to work directly with our co-founders and contribute meaningfully to shaping the company&rsquo;s direction
 </li>
 <li>
 A collaborative and dynamic work environment with a dedicated team of professionals
 
 
 
 </li>
 </ul>
 We use standardized software engineer titles: Software Engineer, Senior Software Engineer, or Principal Software Engineer. Your specific title will be determined upon hiring. We do not use specialized titles like "Backend Engineer" or "Frontend Engineer".
 
 
 
 Note:
 
 This is a full-time, on-site role with a 5-day work week. While we offer reasonable flexibility when needed, candidates seeking remote or hybrid arrangements are requested not to apply.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Frontend Engineer - Bangalore

Explore 358+ Deep learning engineer in Mangaluru this November. Find roles across top companies and apply now to boost your career.

358 deep learning engineer jobs IN Mangaluru

AI/ML Engineer

Data Scientist

AI/ML Engineer

Applied Scientist II

Applied Scientist II

Frontend Engineer - Bangalore

Frontend Engineer - Bangalore