Experience: 2-4 years Location: S.G. Highway, Ahmedabad Send CV: hr@isummation.com Job Description: We are seeking a skilled AI Developer with 2–4 years of experience to join our dynamic team. The ideal candidate will have hands-on experience in training models over images and text, with a strong focus on Generative AI (GenAI) technologies. You will collaborate with cross-functional teams to develop and deploy AI solutions that drive innovation and enhance our product offerings. Key Responsibilities: Design, develop, and fine-tune AI models for image and text data, utilizing Generative AI techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. Implement, train, and optimize deep learning models for Natural Language Processing (NLP), Computer Vision (CV), and multimodal AI tasks. Manage the end-to-end lifecycle of AI projects, including data collection, preprocessing, model training, evaluation, and deployment. Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into existing systems and products. Stay abreast of the latest advancements in AI research and apply innovative techniques to solve complex problems. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy in all AI solutions. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 2–4 years of hands-on experience in developing AI solutions, with a focus on Generative AI models. Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, and transformer architectures. Experience in preprocessing and augmenting large datasets for training AI models. Familiarity with cloud platforms (AWS, GCP, Azure) for model training and deployment. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Preferred Skills: Experience with Natural Language Processing (NLP) techniques and frameworks. Knowledge of MLOps practices and tools for continuous integration and deployment of AI models. Familiarity with ethical AI practices, including strategies for mitigating bias and ensuring responsible AI usage. Show more Show less

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You – Experience, Education, Skills, And Accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, It Would Be Advantageous If You Have Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About The Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area. Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Show more Show less

Description Description Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes. Designation: Associate Consultant Job Location: Bangalore/Chennai Type of employment: Permanent Key Skills : Python , machine Learning, Deep Learning(Neural Networks, RNN, LSTM, Transformer) , Good Understanding of NLP, Transformer models and their internal architecture/working , TensorFlow / Keras/Pytorch. Responsibility : Research & develop business use cases where we can integrate LLM efficiently. Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases. Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing (NLP). Experiment with cutting-edge AI technologies and algorithms to solve complex problems. Collaborate with cross-functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications. Evaluate the performance of machine learning and deep learning models and fine-tune them for better accuracy and efficiency. Implement best practices for model optimization and hyperparameter tuning. Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward. Discover and investigate open-source models that can be utilized for specific tasks, such as summarization and sentiment detection. Proficiency in creating data pipelines. Experience: 4 to 5.5 years Additional skills: Hands on experience with Generative Models (OpenAI / Open-source models). Hands on experience with LLM Frameworks like LangChain and Llama Index. Hands on experience in building applications and solutions using Large Language Models. Must have expertise in Python Language. Expertise in Prompt Engineering. Good to have experience in LLM Fine tuning. Good to have experience with Azure Cloud computing. Qualifications Requirements: Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education 4+ years of work experience on analytic work. Should be inquisitive and have a learning mindset Willingness and ability to experiment with new tools and techniques Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings Show more Show less

Job Title: Machine Learning Engineer Location: Hybrid Job Type: Full-time About Us: Ralliant is at the forefront of leveraging data and AI technologies to drive innovation across Precision Tech Industries. We aim to solve real-world challenges by combining advanced machine learning, cloud computing, and generative AI to deliver cutting-edge solutions. We’re looking for a talented and passionate MLE to join our dynamic team and help us continue to push the boundaries of AI. Model Deployment & MLOps: Design, build, and maintain machine learning pipelines, ensuring continuous integration and deployment (CI/CD) of models in production environments. Deploy machine learning models as APIs, microservices, or serverless functions for real-time inference. Manage and scale machine learning workloads using Kubernetes, Docker, and cloud-based infrastructure (AWS, Azure, GCP). Automation & Scripting: Automate routine tasks across the ML lifecycle (data preprocessing, model training, evaluation, deployment) using Python, Bash, and other scripting tools. Implement automation for end-to-end model management and monitor pipelines for health, performance, and anomalies. Cloud Platforms & Infrastructure: Utilize cloud platforms (AWS, Azure, GCP) to optimize the scalability, performance, and cost-effectiveness of ML systems. Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation to provision and manage cloud resources effectively. Data Pipelines & Integration: Build and maintain robust data pipelines to streamline data ingestion, preprocessing, and feature engineering. Work with both structured and unstructured data sources and databases (SQL, NoSQL) to feed data into ML models. Monitoring, Logging & Troubleshooting: Set up monitoring and logging systems to track model performance, detect anomalies, and maintain system health. Diagnose and resolve issues across the machine learning pipeline and deployed models. Collaboration & Communication: Collaborate closely with data scientists, software engineers, and business stakeholders to ensure machine learning models meet the required business objectives and performance standards. Effectively communicate complex ML concepts and technical details to non-technical stakeholders. GenAI & AI Agents Expertise: Stay up to date with the latest trends in Generative AI (e.g., GPT models, Diffusion models) and AI agents, and bring this expertise into production environments. Design and deploy advanced GenAI solutions, ensuring they are aligned with business needs and ethical AI principles. Security & Compliance: Implement robust security measures for machine learning models and ensure compliance with relevant data protection and privacy regulations. Address vulnerabilities, ensuring safe and secure deployment of models in production environments. Optimization & Cost Management: Optimize machine learning resources (compute, memory, storage) to achieve high performance while minimizing operational costs. Regularly review and improve the efficiency of machine learning workflows. Testing & Validation: Develop and execute rigorous testing and validation strategies to ensure the reliability, accuracy, and fairness of deployed models. Use automated testing frameworks to continuously validate model performance. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience (3+ years) in machine learning engineering, MLOps, or related fields. Experience with deploying and managing machine learning models in production using tools like Kubernetes, Docker, and CI/CD pipelines. Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (Terraform, CloudFormation). Strong coding experience in Python, Bash, or other scripting languages. Expertise in Generative AI models (e.g., GPT, GANs) and their deployment at scale. Experience working with databases (SQL, NoSQL) and building data pipelines. DevOps & CI/CD: Knowledge of DevOps tools and practices, including version control (Git), automated testing, and continuous integration/deployment. AI Agents: Familiarity with the latest AI agent frameworks and their deployment in real-world applications. Data Science Concepts : Solid understanding of GenAI,NLP, Computer Vision, machine learning algorithms, data structures, and model evaluation techniques. Problem-Solving: Strong troubleshooting and debugging skills to quickly identify and fix issues within ML pipelines and deployments. Collaboration & Communication: Excellent communication skills with the ability to work in a cross-functional team and explain technical concepts to non-technical stakeholders. Preferred Qualifications: Certification in Cloud Technologies (AWS, Azure, GCP) and MLOps platforms. Experience with large-scale ML systems and distributed computing. Understanding of ethical AI practices and AI fairness. Familiarity with cutting-edge AI technologies like reinforcement learning, AI agents, and deep learning. Technical Skills: Proficiency in Python, R, or other relevant programming languages. Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience with SQL and cloud-native data processing tools (e.g., AWS Redshift, Azure Synapse, Spark). Familiarity with DevOps practices and CI/CD pipelines for ML model deployment. Soft Skills: Strong communication skills with the ability to translate complex technical concepts into business-friendly language. Problem-solving mindset, with the ability to approach challenges creatively and collaborate with diverse teams. Leadership potential or experience mentoring junior team members. Preferred Qualifications: Certification or training in AWS (e.g., AWS Certified Machine Learning), Azure, or other cloud services. Experience working with containerization technologies like Docker and Kubernetes for model deployment. Exposure to the latest trends in AI ethics, explainability, and fairness. Company Overview: Join a dynamic and innovative team at Ralliant, a leader in producing high-tech measurement instruments and essential sensors. Our brands, including Tektronix, Qualitrol, Sensing Technologies and Pacific Scientific, are at the forefront of technological advancements, providing critical products that drive innovation across various industries. At Ralliant, we are committed to excellence and continuous improvement, delivering top-tier solutions that meet the evolving needs of our Operating Companies These Are The Traits We Value: You are collaborative, proactive, adaptable, and gritty. You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results. Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team. Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking. Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear “right answer”. Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors. Positive Outlook: A desire to look past the objections in search of the opportunity. Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view. A need for speed; demonstrated ability to make decisions quickly and to act upon them. Alongside a team of entrepreneurial, high-performing, curious people, you’ll deliver breakthrough solutions to drive sustainable growth for Ralliant Bonus or Equity This position is also eligible for bonus as part of the total compensation package. Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth. About NewCo Bonus or Equity This position is also eligible for bonus as part of the total compensation package. This position is also eligible for bonus as part of the total compensation package. Show more Show less

Role -: Senior AI Resource - Generative AI / ML Exp - 5-10 Years Location - Mumbai / Pune / Gurgaon NP - Immediate joiner - 15 days only ( If serving NP ) Key Responsibilities: AI Model Development Model Training & Tuning Model Deployment Support Performance Evaluation Documentation Research & Application Collaboration Mentorship Requirements 1. Proven experience (5+ years) in developing AI/ML models and solutions, with a strong focus on generative AI. 2. Proficiency in deep learning frameworks such as Tensor Flow, PyTorch, or Keras. 3. Strong programming skills in Python and experience with data manipulation, cleaning, and pre-processing. 4. Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment tools. 5. Ability to independently execute projects while collaborating effectively within a team. 6. Practical experience in model evaluation, including measuring accuracy, efficiency, and scalability. 7. Familiarity with the entire machine learning lifecycle: data collection, training, deployment, and monitoring. 8. Ability to work under pressure to meet deadlines while maintaining a high standard of quality. 9. Strong communication skills and the ability to present technical concepts to both technical and non-technical stakeholders. Show more Show less

We are seeking a multi-skilled, multi-faceted Technical Development Lead with a deep expertise in Large Language models, Generative AI, and Full-Stack Cloud Native Application Development, to join our dynamic product development team. As a Development Lead, you will play a key role in developing cutting-edge products and innovative solutions for our clients, combining the power of LLMs, Generative AI, and Agentic AI together with Cloud Native Full Stack Application Development. Your primary focus will be on driving bespoke product development to build creative and impactful solutions, that enhance the product portfolio. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of technology, as well as rapidly learning new skills and technology on the job. The ideal candidate will also combine traditional product development and cloud native app dev skills with modern and emerging Generative AI and LLM App development skills. Job Description: Responsibilities : Develop, implement and optimize scalable AI-enabled products, cloud-native apps and cloud solutions. Technical delivery and execution of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services Drive solution tech design and implementation across all layers of the application stack – including front-end, back-end, APIs, data and AI services Design and build enterprise products and full-stack applications on the MERN stack, with clear separation of concerns across layers Design and build web apps and solutions that leverage LLM models, and Generative AI workflows Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Drive product development and delivery within tight timelines Collaborate with full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products. Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions. Key Skills required : Full Stack MERN App Dev, Front-End + Back-End Development, API Dev, Micro Services Cloud Native App Dev, Cloud Solutions LLM, LLM App Dev AI Agents, Agentic AI Workflows Generative AI, Multi Modal AI , Creative AI Working with Text, Imagery, Speech, Audio and Video AI Must-Have capabilities: Strong Expertise in MERN stack (JavaScript) including client-side and server-side JavaScript Strong Expertise in Python based development, including Python App Dev for LLM integration Well-rounded in both programming languages Hands-on Experience in front-end and back-end development Hands-on Experience in Data Processing and Data Integration Hands-on Experience in API integration Hands-on Experience in LLM App Dev and LLM enabled solutions. Hands-on Experience in Multi modal AI models and tools. JavaScript / MERN stack - competencies : Minimum 4 years hands-on experience in working with Full-Stack MERN apps, using both client-side and server-side JavaScript Strong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScript Strong hands-on experience in the React.js framework, and building stateful and stateless front-end apps using React.js components Strong hands-on experience in Server-Side JavaScript, and using frameworks like Node.js, to build services and APIs in JavaScript Good experience with a Micro Services solution, and how to build the same with Node.js Gen-AI / LLM App Dev with Python – competencies : Minimum 2 years hands-on experience in Python development Minimum 2 years hands-on experience in working with LLMs and LLM models Strong experience with integrating data, both internal + external datasets, and building data pipelines, to ground LLMs in domain knowledge Strong hands-on experience with Data Pre-Processing and Processing for LLM Apps and solutions Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output Good Experience with building AI and LLM enabled Workflows Hands-on Experience integrating LLMs with external tools such as Web Search Ability to leverage advanced concepts such as tool calling and function calling, with LLM models Hands-on Experience with using LLMs for Research use cases and Research Workflows, to enable AI Research Assistants Hands-on Experience with Conversational AI solutions and chat-driven experiences Experience with multiple LLMs and models – primarily GPT-4o, GPT o1, and o3 mini, and preferably also Gemini, Claude Sonnet, etc. Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and perferably also AWS Bedrock, and/or GCP Vertex AI. Experience with vector databases (Azure AI Search, AWS OpenSearch Serverless, pgvector, etc.). Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMs Hands-on Experience working with AI Agents and Agent Services. Implement LLMOps processes, LLM evaluation frameworks, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to output evaluation. Multi Modal AI – competencies : Hands-on Experience with intelligent document processing and document indexing + document content extraction and querying, using multi modal AI Models Hands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative – including text-to-image, image-to-image, image composition, image variations, etc. Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI – for use cases such as object detection, automated captioning, etc. Hands-on Experience with using Multi modal AI for Speech – including Text to Speech, Pre-built vs. Custom Voices Hands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutions Hands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models Ability to lead design and development teams, for Full-Stack MERN Apps and Products/Solutions, built on top of LLMs and LLM models. Nice-to-Have capabilities : MERN Stack and Cloud-Native App Dev : Hands-on working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js Hands-on working experience with BFF frameworks such as GraphQL Hands-on working experience working with a Federated Graph architecture Hands-on working experience with API Management and API Gateways Experience working with container apps and containerized environments Hands-on working experience with Web Components and Portable UI components Python / ML LLM / Gen-AI App Dev : Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks Hands-on experience with different Agent communication and chaining patterns Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order “goals” and automated orchestration across multiple apps and tools Ability to leverage Graph Databases and “Knowledge Graphs” as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models. Good Background with Machine Learning solutions Good foundational understanding of Transformer Models Some Experience with custom ML model development and deployment is desirable. Proficiency in deep learning frameworks such as PyTorch, or Keras. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

Key Responsibilities: Design, develop, and train deep learning models for structured and unstructured data. Fine-tune pre-trained large language models (e.g., LLaMA, Mistral, Falcon, GPT-based models) for custom use cases. Evaluate model performance using standard metrics and improve based on experimentation. Build and maintain scalable training pipelines and inference systems. Collaborate with product and research teams to convert business requirements into technical solutions. Perform data preprocessing, augmentation, and annotation where needed. Optimize model inference speed and resource efficiency (e.g., quantization, pruning). Keep up with the latest research in ML/DL and apply relevant techniques to real-world problems. Required Qualifications: B.Tech / M.Tech / MS in Computer Science, Electrical Engineering, or related field. 23 years of hands-on experience in machine learning and deep learning. Strong knowledge of Python and frameworks such as PyTorch or TensorFlow. Proven experience training deep neural networks from scratch or via transfer learning. Exposure to LLMs – fine-tuning, prompt engineering, or training smaller transformer models. Familiarity with deployment of models using FastAPI, Flask, or similar. Preferred Qualifications: Experience with Hugging Face Transformers, LangChain, or similar frameworks. Knowledge of distributed training and GPU acceleration. Understanding of vector databases and RAG (retrieval-augmented generation) systems. Basic understanding of MLOps tools like Docker, Kubernetes, and CI/CD for ML workflows. Familiarity with common NLP tasks: text classification, summarization, NER, etc. What We Offer: A fast-paced, collaborative, and intellectually challenging environment. Opportunity to work on cutting-edge AI products and infrastructure. Flexible work options and a strong focus on work-life balance. Competitive compensation and equity options (if applicable).

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Description Lead/Sr. Product Engineer - AI/ML We are seeking a highly skilled and experienced Sr. Product Engineer - AI/ML to join our dynamic team. As a Sr. Product Engineer, you will be responsible for designing, developing, and implementing AI/ML solutions that will drive the success of our products. This is a challenging and rewarding role that requires a strong understanding of AI/ML technologies, as well as excellent problem-solving and communication skills. We offer competitive compensation, benefits, and opportunities for growth and development. If you are passionate about AI/ML and want to be a part of a dynamic team, we encourage you to apply for this exciting opportunity. Duties and Responsibilities Collaborate with cross-functional teams to define product requirements and develop AI/ML solutions. Design and implement machine learning algorithms and models to solve complex business problems. Conduct data analysis and visualization to identify patterns and trends in large datasets. Build and maintain scalable data pipelines for data ingestion, processing, and storage. Research and evaluate new AI/ML technologies and tools to improve product performance and efficiency. Work closely with product managers to prioritize and plan product roadmap based on market trends and customer needs. Collaborate with software engineers to integrate AI/ML models into production systems. Provide technical guidance and mentorship to junior team members. Stay updated with the latest advancements and best practices in AI/ML and apply them to improve product offerings. Ensure compliance with data privacy and security regulations in all AI/ML solutions. Skills and Qualifications Strong understanding of AI/ML concepts and algorithms Proficient in programming languages such as Python, Java, or C++ Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras Familiarity with data analysis and visualization tools like Pandas, NumPy, and Matplotlib Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud Experience with natural language processing (NLP) and computer vision Ability to design and implement AI/ML models from scratch Strong problem-solving and critical thinking skills Excellent communication and collaboration abilities Experience with agile development methodologies Ability to work independently and in a team environment Knowledge of software development lifecycle (SDLC) Experience with version control systems like Git or SVN Understanding of software testing and debugging processes Ability to adapt to new technologies and learn quickly Location: Trivandrum/Kochi (Infopark)/Calicut Show more Show less

Job Title: AI Tutor Location: On-Site ( Chennai) , Remote. Employment Type: Full-time Department: Education / EdTech / Training & Development Job Summary: We are seeking a passionate and knowledgeable AI Tutor to provide high-quality academic support to learners through digital platforms. The ideal candidate will have a strong foundation in artificial intelligence concepts and be capable of explaining complex topics in a simple, engaging, and learner-friendly manner. --- Key Responsibilities: Deliver one-on-one or group tutoring sessions on AI topics such as Machine Learning, Deep Learning, NLP, Computer Vision, etc. Create and curate educational resources including presentations, quizzes, projects, and notes. Simplify complex AI concepts for different levels of learners (beginner to advanced). Assist students in coding assignments and AI projects using Python, TensorFlow, PyTorch, etc. Track student progress and provide personalized feedback. Stay updated with the latest developments in the AI field and integrate them into tutoring sessions. Support lecture, online courses, bootcamps, or recorded lectures --- Qualifications & Skills: Bachelor’s/Master’s/PhD in Computer Science, AI, Data Science, or a related field. Proven experience in tutoring or teaching AI/ML concepts (online or offline). Proficiency in Python and AI libraries (e.g., scikit-learn, Keras, PyTorch, TensorFlow). Strong communication and interpersonal skills. Patience, empathy, and a student-first mindset. (Optional) Experience with LMS platforms, chatbot-based tutoring, or EdTech tools. Preferred: Certification in AI/ML from recognized platforms (Coursera, edX, etc.). Prior experience working with EdTech companies or online tutoring platforms. Ability to adapt teaching styles for different learning speeds and preferences. Interested candidates, share your resume to Nitisha@goasknow.com Show more Show less

We are seeking a multi-skilled, multi-faceted Technical Development Lead with a deep expertise in Large Language models, Generative AI, and Full-Stack Cloud Native Application Development, to join our dynamic product development team. As a Development Lead, you will play a key role in developing cutting-edge products and innovative solutions for our clients, combining the power of LLMs, Generative AI, and Agentic AI together with Cloud Native Full Stack Application Development. Your primary focus will be on driving bespoke product development to build creative and impactful solutions, that enhance the product portfolio. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of technology, as well as rapidly learning new skills and technology on the job. The ideal candidate will also combine traditional product development and cloud native app dev skills with modern and emerging Generative AI and LLM App development skills. Job Description: Responsibilities : Develop, implement and optimize scalable AI-enabled products, cloud-native apps and cloud solutions. Technical delivery and execution of applications involving Cloud Platforms, Cloud Native Apps, and Cloud AI Services Drive solution tech design and implementation across all layers of the application stack – including front-end, back-end, APIs, data and AI services Design and build enterprise products and full-stack applications on the MERN stack, with clear separation of concerns across layers Design and build web apps and solutions that leverage LLM models, and Generative AI workflows Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Drive product development and delivery within tight timelines Collaborate with full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products. Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions. Key Skills required : Full Stack MERN App Dev, Front-End + Back-End Development, API Dev, Micro Services Cloud Native App Dev, Cloud Solutions LLM, LLM App Dev AI Agents, Agentic AI Workflows Generative AI, Multi Modal AI , Creative AI Working with Text, Imagery, Speech, Audio and Video AI Must-Have capabilities: Strong Expertise in MERN stack (JavaScript) including client-side and server-side JavaScript Strong Expertise in Python based development, including Python App Dev for LLM integration Well-rounded in both programming languages Hands-on Experience in front-end and back-end development Hands-on Experience in Data Processing and Data Integration Hands-on Experience in API integration Hands-on Experience in LLM App Dev and LLM enabled solutions. Hands-on Experience in Multi modal AI models and tools. JavaScript / MERN stack - competencies : Minimum 4 years hands-on experience in working with Full-Stack MERN apps, using both client-side and server-side JavaScript Strong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScript Strong hands-on experience in the React.js framework, and building stateful and stateless front-end apps using React.js components Strong hands-on experience in Server-Side JavaScript, and using frameworks like Node.js, to build services and APIs in JavaScript Good experience with a Micro Services solution, and how to build the same with Node.js Gen-AI / LLM App Dev with Python – competencies : Minimum 2 years hands-on experience in Python development Minimum 2 years hands-on experience in working with LLMs and LLM models Strong experience with integrating data, both internal + external datasets, and building data pipelines, to ground LLMs in domain knowledge Strong hands-on experience with Data Pre-Processing and Processing for LLM Apps and solutions Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output Good Experience with building AI and LLM enabled Workflows Hands-on Experience integrating LLMs with external tools such as Web Search Ability to leverage advanced concepts such as tool calling and function calling, with LLM models Hands-on Experience with using LLMs for Research use cases and Research Workflows, to enable AI Research Assistants Hands-on Experience with Conversational AI solutions and chat-driven experiences Experience with multiple LLMs and models – primarily GPT-4o, GPT o1, and o3 mini, and preferably also Gemini, Claude Sonnet, etc. Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and perferably also AWS Bedrock, and/or GCP Vertex AI. Experience with vector databases (Azure AI Search, AWS OpenSearch Serverless, pgvector, etc.). Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMs Hands-on Experience working with AI Agents and Agent Services. Implement LLMOps processes, LLM evaluation frameworks, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to output evaluation. Multi Modal AI – competencies : Hands-on Experience with intelligent document processing and document indexing + document content extraction and querying, using multi modal AI Models Hands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative – including text-to-image, image-to-image, image composition, image variations, etc. Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI – for use cases such as object detection, automated captioning, etc. Hands-on Experience with using Multi modal AI for Speech – including Text to Speech, Pre-built vs. Custom Voices Hands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutions Hands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models Ability to lead design and development teams, for Full-Stack MERN Apps and Products/Solutions, built on top of LLMs and LLM models. Nice-to-Have capabilities : MERN Stack and Cloud-Native App Dev : Hands-on working experience with Server-side JavaScript Frameworks for building Domain-driven Micro Services, including Nest.js and Express.js Hands-on working experience with BFF frameworks such as GraphQL Hands-on working experience working with a Federated Graph architecture Hands-on working experience with API Management and API Gateways Experience working with container apps and containerized environments Hands-on working experience with Web Components and Portable UI components Python / ML LLM / Gen-AI App Dev : Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks Hands-on experience with different Agent communication and chaining patterns Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order “goals” and automated orchestration across multiple apps and tools Ability to leverage Graph Databases and “Knowledge Graphs” as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models. Good Background with Machine Learning solutions Good foundational understanding of Transformer Models Some Experience with custom ML model development and deployment is desirable. Proficiency in deep learning frameworks such as PyTorch, or Keras. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

EGNYTE YOUR CAREER. SPARK YOUR PASSION. "Please refrain from applying to this position if you don't meet the qualifications, such as being newly graduated/interns or having limited experience" Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values: Invested Relationships Fiscal Prudence Candid Conversations ABOUT EGNYTE Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com . ABOUT THE ROLE Egnyte is seeking a Principal Machine Learning Engineer to drive innovation and leadership across machine learning initiatives, with a special emphasis on NLP solutions. As a Principal Engineer, you will play a pivotal role in shaping the future of AI/ML at Egnyte by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of ML solutions into our platform at scale. You will mentor and guide engineering teams while providing expertise in state-of-the-art ML practices, ensuring a robust production pipeline and the professional management of ML models. WHAT YOU’LL DO: Leading the technical strategy and execution for machine learning projects across the organization. Driving innovation in NLP and other ML solutions, ensuring alignment with Egnyte’s business goals. Architecting and overseeing scalable, production-ready machine learning systems. Providing technical leadership and mentorship to the ML engineering team, fostering growth and collaboration. Conducting in-depth research and staying abreast of advancements in machine learning and deep learning technologies. Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal ML solutions. Designing, deploying, and managing the lifecycle of machine learning models, including retraining and monitoring for continuous improvement. Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions. Representing Egnyte’s technical excellence through publications, presentations, and participation in industry events. YOUR QUALIFICATIONS: 6+ yrs of proven expertise in leading machine learning initiatives, particularly in NLP. Extensive experience in creating and deploying machine learning & deep learning models at scale in a SaaS or Cloud environment. Demonstrated ability to define and execute technical strategy for ML projects. Advanced knowledge of ML frameworks, such as PyTorch and TensorFlow/Keras. Proficiency in tools like HuggingFace libraries (transformers and tokenizers) or Fairseq. Expertise in Python, Docker, Kubernetes, and Helm. Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration. Strong experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise What we offer: Opportunity to work on cutting-edge machine learning projects at scale. Leadership role in a growing, innovative AI/ML team. Support for continued learning, certifications, and professional growth Bonus points: Proficiency in additional programming languages such as Java, Scala, or Go. Familiarity with tools and frameworks like Kubeflow and OpenCV. Deep understanding of advanced analytical modeling and statistical forecasting techniques. Demonstrated expertise with transformer-based architectures (e.g., BERT, GPT). Experience publishing and presenting complex technical work to a broader audience. COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION: At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. Show more Show less

Role: Developer: Generative AI and Data Science Work Experience: 3 – 4 Years Key Attributes: ● Graduate Engineer or postgraduate with 03 – 04 years of experience, out of which about 1+ years in advanced Generative AI technologies and the rest in Data Science, AI, and Machine Learning ● Must have a good grasp of database management, including Vector DBs, SQL (Structured Query Language), and NoSQL (Non-relational) databases. ● Must have hands-on Python-based web and back-end frameworks like Django, flask Must-Have Skills: ● Hands-on Gen AI experience across LLMs like OpenAI, Gemini, Mistral, Falcon, etc. ● Advanced RAG (Retrieval Augmented Generation), Multi-Modal RAG, LangChain, LlAMA ● Text analytics: NLP, Sentiment Analysis, Topic Modelling, Seq2Seq, Attention model, Tokenizer, Word2Vec, etc ● Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras, PyTorch, Flask or Django). ● Awareness on agentic System Development, which can perform tasks autonomously and interact with other systems. Key Responsibilities: ● Cross-functional collaboration: Work closely with product management, engineering, and business teams to integrate AI-driven features into products and services, ensuring they meet market needs and customer expectations. ● Investigate the technology trends and implement them within the product following the product vision, strategy, and roadmap. ● Carry out quick POCs/ build MVPs to rapidly demonstrate solution possibilities/feasibilities across Infrastructure, Storage, Analytics, AI/ML, Security etc, ● Ensure efficient usage of tools and implementation of processes and systems thus creating a proficient environment for effective delivery. ● Work with clients to ensure smooth and successful implementation, delivery, and deployment of complex solutions ● Compliance: Ensure all AI and data science activities comply with relevant data privacy laws, regulations, and ethical standards. ● Client Interaction: Engage with clients to understand their needs and ensure successful implementation, delivery, and deployment of AI-driven solutions. Show more Show less

About the company As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing how the world builds. With a presence in 60 countries and a global workforce of 60,000 across four key segments—cement, aggregates, ready-mix concrete, and solutions & products—Holcim is committed to building a greener, smarter, and healthier world. We are leading the way in reducing carbon emissions and accelerating the global transition toward low-carbon construction. To support this vision, we have established the Group Center of Excellence (CoE) for Advanced Analytics and AI, which focuses on data science, data engineering, cloud platform engineering, and business intelligence. About the role As a Data Science Specialist , you will be a core contributor to Holcim’s global Advanced Analytics CoE. You will collaborate with cross-functional teams to build and deploy cutting-edge AI/ML solutions that drive operational excellence and business decision-making. This is an individual contributor role with potential for career progression into people management based on performance and impact. Responsibilities Collaborate with business/domain SMEs to identify opportunities and develop predictive models for key business processes Select and apply suitable machine learning and deep learning algorithms, validate results, and derive actionable insights Work closely with product development teams to industrialize AI/ML models and rapidly prototype minimum viable solutions Conduct exploratory data analysis and hypothesis testing to derive business insights Manage end-to-end data science workflows including data acquisition, preprocessing, feature engineering, modeling, and optimization Design and implement generative AI solutions Build and deploy full-stack machine learning pipelines on cloud platforms such as AWS and GCP If required, adapt ML models for edge devices or mobile applications Qualifications Education BE/B.Tech in Computer Science, Engineering, or relevant STEM fields Graduate degree in Data Science or a related quantitative discipline is preferred Strong foundation in mathematics, statistics, and algebra AWS analytics certification is mandatory Experience 12–15 years of total experience, with at least 8 years in analytics/data science Experience in manufacturing, building materials, process industries, or pharmaceuticals is highly desirable Proven experience designing and deploying generative AI solutions Hands-on expertise in statistical and machine learning techniques Required Skills 8+ years of experience in machine learning and deep learning algorithms: decision trees, random forests, SVMs, regression, clustering, CNNs, RNNs, LSTMs, transformers, etc. 6+ years of programming experience in Python, PySpark, or equivalent languages for data manipulation and analysis 5+ years of working with cloud platforms, especially AWS, including experience deploying AI/ML solutions in production environments Strong knowledge of deep learning frameworks such as TensorFlow, Keras, or PyTorch Familiarity with business intelligence tools like QlikView and data engineering frameworks is a plus Equal opportunity Holcim is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment for all employees. Show more Show less

About the job: Key responsibilities: 1. Fine-tune and deploy LLMs (e.g., LLaMA 3.2) using LoRA, QLoRA, and related optimization techniques 2. Build intelligent systems combining NLP, image analysis, and pattern recognition 3. Develop and integrate retrieval-augmented generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases like FAISS or Weaviate 4. Apply statistical analysis, feature engineering, and advanced data analysis techniques using NumPy and Pandas 5. Train and evaluate models with CNNs, transformers, and neural networks in PyTorch, TensorFlow, or Keras 6. Package and deploy scalable inference APIs with FastAPI on AWS or Azure 7. Collaborate directly with product and engineering teams to ship AI features into production Requirements: 1. Possess 1+ years of hands-on experience in data science, machine learning, or deep learning roles 2. Demonstrate strong experience with Python, NumPy, Pandas, and modern ML frameworks (PyTorch or TensorFlow) 3. Show practical understanding of transformers, CNNs, and neural network training pipelines 4. Have exposure to LLMs, vector databases, and/or retrieval-augmented generation (RAG) systems 5. Be familiar with FastAPI and deploying ML models to the cloud (AWS or Azure) 6. Hold a solid grounding in statistics, data wrangling, and model evaluation techniques Who can apply: Only those candidates can apply who: have minimum 1 years of experience are Computer Science Engineering students Salary: ₹ 5,00,000 - 6,00,000 /year Experience: 1 year(s) Deadline: 2025-06-28 23:59:59 Other perks: 5 days a week Skills required: Python, SQL, Machine Learning, Natural Language Processing (NLP), TensorFlow, FastAPI, Keras, NumPy and Pandas About Company: Softsensor.ai is a USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with leading global consulting firms & corporations and delivering large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context.

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on May 28, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Roles & Responsibilities : Roles & Responsibilities Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI Large Language Models (LLMs): GPT, Qualifications Educational qualification: BE,BTECH or PHD Experience 7-11 years Mandatory/requires Skills : AI Preferred Skills Apply now See more open positions at Bosch Show more Show less

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Our centralized data science team spanned across multiple geographies, is responsible for the data science modules that power all the products of the company, including Search Relevance, Recommendation, User Personalization, User Segmentations, Content Intelligence and Conversational Commerce. We invent and apply machine learning, data mining, and information retrieval algorithms to understand, identify, and improve web content discovery. We have built industry leading algorithms in search and recommendations for the commerce space that serve the most relevant experiences using Artificial Intelligence with the goal-building AI driven experiences beyond commerce. Your Responsibilities: Design, develop, and enhance ML/AI models which mainly power Search and Recommendation. Process historical data, search queries, product catalog, and images to extract hidden relations and features. Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC. Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data. Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences. Qualifications: BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python) 5-8 years experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment. Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials. Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking. Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery. Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies. Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers). Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure). Effective communication skill in English, both verbally and in written form. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.* Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)* Well-being: The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.* Subscription to Calm - sleep and meditation app.* We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers.* Compensation: Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.* Everyone gets to participate in the company's success through the company performance bonus.* We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries -- Bloomversaries!* (*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Role: Senior Manager - Data Scientist Designation : Senior Manager Preferred Experience: 12+ years Key Responsibilities: Lead the development and implementation of advanced analytics, machine learning, and artificial intelligence solutions across various platforms such as Azure, Google Cloud, and on-premises environments. Design and oversee the creation of scalable AI/ML models and algorithms to solve complex business problems and generate actionable insights. Drive the adoption and implementation of General AI use cases, ensuring alignment with business objectives and value creation. Apply deep expertise in machine learning, predictive modelling, and statistical analysis to large, complex data sets. Champion the integration of AI/ML capabilities into existing data architectures and pipelines for enhanced decision-making. Provide thought leadership and mentorship within the team, staying abreast of emerging AI/ML technologies and industry trends to foster innovation. Ensure compliance with ethical AI practices and contribute to the development of responsible AI frameworks. Qualifications: 12+ years of experience in data management, or a related field, with at least 5 years focused on AI/ML. Proven track record of designing and deploying successful AI/ML projects and General AI use cases. Strong experience with cloud technologies (Azure/Google Cloud) and familiarity with on-premises environments. Expertise in advanced analytics, machine learning algorithms, and predictive modeling. Proficient in programming languages such as Python, R, or Scala, and libraries/frameworks like TensorFlow, PyTorch, or Keras. Deep understanding of the application of AI/ML in creating data products and insights. Experience with deploying machine learning models into production environments. Excellent knowledge of statistical analysis, algorithm development, and experimental design. Strong leadership skills and the ability to mentor and guide teams. Bachelor's or master’s degree in computer science, Engineering, Mathematics, Statistics, or a related field with a strong quantitative focus. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Role: Senior Manager - Data Scientist Designation : Senior Manager Preferred Experience: 12+ years Key Responsibilities: Lead the development and implementation of advanced analytics, machine learning, and artificial intelligence solutions across various platforms such as Azure, Google Cloud, and on-premises environments. Design and oversee the creation of scalable AI/ML models and algorithms to solve complex business problems and generate actionable insights. Drive the adoption and implementation of General AI use cases, ensuring alignment with business objectives and value creation. Apply deep expertise in machine learning, predictive modelling, and statistical analysis to large, complex data sets. Champion the integration of AI/ML capabilities into existing data architectures and pipelines for enhanced decision-making. Provide thought leadership and mentorship within the team, staying abreast of emerging AI/ML technologies and industry trends to foster innovation. Ensure compliance with ethical AI practices and contribute to the development of responsible AI frameworks. Qualifications: 12+ years of experience in data management, or a related field, with at least 5 years focused on AI/ML. Proven track record of designing and deploying successful AI/ML projects and General AI use cases. Strong experience with cloud technologies (Azure/Google Cloud) and familiarity with on-premises environments. Expertise in advanced analytics, machine learning algorithms, and predictive modeling. Proficient in programming languages such as Python, R, or Scala, and libraries/frameworks like TensorFlow, PyTorch, or Keras. Deep understanding of the application of AI/ML in creating data products and insights. Experience with deploying machine learning models into production environments. Excellent knowledge of statistical analysis, algorithm development, and experimental design. Strong leadership skills and the ability to mentor and guide teams. Bachelor's or master’s degree in computer science, Engineering, Mathematics, Statistics, or a related field with a strong quantitative focus. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

OrangeMantra is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data & AI Strategy - Associate Director, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Associate Director – Data & AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data & AI strategy that aligns with the overall business strategy and objectives. Translate business needs and opportunities into actionable data and AI initiatives. Develop and execute a roadmap for AI adoption and implementation across the organization. Identify and evaluate emerging AI technologies and their potential business applications. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data & AI Key Skills Strong understanding of data concepts, including data warehousing, data mining, data quality, and data governance. Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing). Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 15-17 years of total experience with 10+ years in Data Strategy and architecture field 15-17 years of total experience with 7+ years in AI Strategy & implementation. Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis 7+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 7+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred Technical And Professional Experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments Show more Show less