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Join our team to industrialize sophisticated cutting-edge algorithms for our next generation of BMW Cars. The role involves designing, developing, and refining generative models that will form the core of our innovative AI-driven products and services. The ideal candidate will possess deep expertise in generative AI practices, with the ability to implement models that can synthesize novel content, ranging from text and images to complex data patterns. In your daily work, you will find yourself in an international and interdisciplinary environment with an agile mindset. Our campus offers the cloud infrastructure you need to work productively with large amounts of data and focus on the software for the automobile of the future. What should you bring along 5+ years of experience in AI/ML research and development Experience and deepen knowledge about Generative AI Proven experience with generative model architectures such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and autoregressive models like Transformer-based networks, LLMs, SLMs, Knowledge about generative AI techniques and fine-tuning methods to improve model performance. Familiar with implementing RAG (Retrieval-Augmented Generation) architecture for sophisticated AI applications Extensive knowledge of multimodal models, foundation models, and fine-tuning techniques. In-depth understanding of transformer architectures, RAG architecture Basic knowledge of AI accelerator chips Knowledge of MLOps practices to ensure the robustness and reliability of AI systems Expertise in designing and implementing scalable and efficient AI systems Strong Python programming skills and experience with modern AI frameworks Excellent communication and collaboration skills, with the ability to lead and mentor junior team members Knowledge of software development processes in the automotive environment is advantageous Familiarity with cloud computing platforms and services for AI/ML (AWS) Business fluent knowledge of English (written and spoken) Key responsibilities: Architect and develop state-of-the-art generative models for a variety of applications, including but not limited to text, image, and video generation Work closely with data scientists, machine learning engineers, and product teams to deploy generative models into production environments Stay abreast of emerging trends and advancements in AI, particularly in the area of generative models, to ensure our solutions remain at the forefront of the industry Communicate complex AI concepts and model behaviors to non-technical stakeholders, translating insights into actionable business outcomes Mentor junior AI practitioners, fostering an environment of knowledge-sharing and collaborative growth Commit to knowledge sharing by actively contributing to the professional development of junior team members, providing guidance and mentorship to nurture their growth within the field of generative AI.

Join our team to industrialize sophisticated cutting-edge algorithms for our next generation of BMW Cars. The role involves designing, developing, and refining generative models that will form the core of our innovative AI-driven products and services. The ideal candidate will possess deep expertise in generative AI practices, with the ability to implement models that can synthesize novel content, ranging from text and images to complex data patterns. In your daily work, you will find yourself in an international and interdisciplinary environment with an agile mindset. Our campus offers the cloud infrastructure you need to work productively with large amounts of data and focus on the software for the automobile of the future. What should you bring along 5+ years of experience in AI/ML research and development Experience and deepen knowledge about Generative AI Proven experience with generative model architectures such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and autoregressive models like Transformer-based networks, LLMs, SLMs, Knowledge about generative AI techniques and fine-tuning methods to improve model performance. Familiar with implementing RAG (Retrieval-Augmented Generation) architecture for sophisticated AI applications Extensive knowledge of multimodal models, foundation models, and fine-tuning techniques. In-depth understanding of transformer architectures, RAG architecture Basic knowledge of AI accelerator chips Knowledge of MLOps practices to ensure the robustness and reliability of AI systems Expertise in designing and implementing scalable and efficient AI systems Strong Python programming skills and experience with modern AI frameworks Excellent communication and collaboration skills, with the ability to lead and mentor junior team members Knowledge of software development processes in the automotive environment is advantageous Familiarity with cloud computing platforms and services for AI/ML (AWS) Business fluent knowledge of English (written and spoken) Key responsibilities: Architect and develop state-of-the-art generative models for a variety of applications, including but not limited to text, image, and video generation Work closely with data scientists, machine learning engineers, and product teams to deploy generative models into production environments Stay abreast of emerging trends and advancements in AI, particularly in the area of generative models, to ensure our solutions remain at the forefront of the industry Communicate complex AI concepts and model behaviors to non-technical stakeholders, translating insights into actionable business outcomes Mentor junior AI practitioners, fostering an environment of knowledge-sharing and collaborative growth Commit to knowledge sharing by actively contributing to the professional development of junior team members, providing guidance and mentorship to nurture their growth within the field of generative AI.

As a Senior Data Science Engineer Lead at our Bangalore location, you will be responsible for spearheading the development of intelligent, autonomous AI systems. Your role will involve leveraging technologies such as agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs to design and deploy innovative AI solutions, focusing on enhancing enterprise applications. You will work as part of a cross-functional agile delivery team, bringing an innovative approach to software development and contributing to all stages of software delivery. In this position, you will design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. You will also implement RAG Pipelines by integrating LLMs with vector databases and knowledge graphs to create dynamic retrieval systems. Additionally, you will fine-tune language models, train NER models, develop knowledge graphs, collaborate cross-functionally, and optimize AI workflows using MLOps practices. To be successful in this role, you should have 15+ years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and AI/ML frameworks like TensorFlow or PyTorch. Experience with deploying AI models on cloud platforms, familiarity with semantic technologies, MLOps tools, vector databases, RAG architectures, and hybrid search methodologies is essential. Strong problem-solving abilities, analytical thinking, excellent communication skills, and the ability to work independently on multiple projects are also key requirements. We offer a range of benefits including best in class leave policy, parental leaves, reimbursement under childcare assistance benefit, sponsorship for certifications, employee assistance program, hospitalization insurance, accident and term life insurance, health screening, training, coaching, and a culture of continuous learning to support your career progression. Join us at our Bangalore location to be part of a collaborative team that strives for excellence every day. Visit our company website for more information about Deutsche Bank Group and our inclusive work environment. We welcome applications from all individuals who share our values of responsibility, initiative, and collaboration.,

You are a Data Science Engineer who will be contributing to the development of intelligent, autonomous AI systems. The ideal candidate should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. As part of the flexible scheme, you will enjoy various benefits such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit reimbursement, sponsorship for industry-relevant certifications, employee assistance program, comprehensive hospitalization insurance, accident and term life insurance, and health screening. Your key responsibilities will involve designing and developing Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen, implementing RAG Pipelines, fine-tuning Language Models, training NER Models, developing Knowledge Graphs, collaborating cross-functionally, and optimizing AI workflows. To excel in this role, you should have at least 4 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with AI/ML frameworks like TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms, understanding of LLMs, SLMs, semantic technologies, and MLOps tools is required. Additionally, hands-on experience with vector databases, embedding techniques, and developing AI solutions for specific industries will be beneficial. You will receive support through training, coaching, and a culture of continuous learning to aid in your career progression. The company strives for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They promote a positive, fair, and inclusive work environment for all individuals. For further information about the company and its teams, please visit the company website at https://www.db.com/company/company.htm. Join a team that celebrates success and fosters a culture of excellence and inclusivity.,

My profile - linkedin.com/in/yashsharma1608 Position : AI Architect ( Gen AI ) Experience : 8 - 10 years Notice Period : Immediate to 15 days. Budget upto - 45 to 50 LPA Location : Bangalore. Note : - (any developer with minimum 3 to 4 years into AI), SaaS company mandatory. Product Based company Mandatory Discuss the feasibility of AI/ML use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings Design and implement robust ML infrastructure and deployment pipelines Establish comprehensive MLOps practices for model training, versioning, and deployment Lead the development of HR-specialized language models (SLMs) Implement model monitoring, observability, and performance optimization frameworks Develop and execute fine-tuning strategies for large language models Create and maintain data quality assessment and validation processes Design model versioning systems and A/B testing frameworks Define technical standards and best practices for AI development Optimize infrastructure for cost, performance, and scalability Required Qualifications 7+ years of experience in ML/AI engineering or related technical roles 3+ years of hands-on experience with MLOps and production ML systems Demonstrated expertise in fine-tuning and adapting foundation models Strong knowledge of model serving infrastructure and orchestration Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) Experience implementing model versioning and A/B testing frameworks Strong background in data quality methodologies for ML training Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with cloud-based ML platforms (AWS, Azure, Google Cloud) Proven track record of deploying ML models at scale Preferred Qualifications Experience developing AI applications for enterprise software domains Knowledge of distributed training techniques and infrastructure Experience with retrieval-augmented generation (RAG) systems Familiarity with vector databases (Pinecone, Weaviate, Milvus) Understanding of responsible AI practices and bias mitigation Bachelor's or Master's degree in Computer Science, Machine Learning, or related field What We Offer Opportunity to shape AI strategy for a fast-growing HR technology leader Collaborative environment focused on innovation and impact Competitive compensation package Professional development opportunities Flexible work arrangements Qualified candidates who are passionate about applying cutting-edge AI to transform HR technology are encouraged to apply