9198 Pytorch Jobs - Page 7

Role- AI ML Engineer Exp: 4+ years Location- Noida ,Gurgaon,Pune- 2 days in a week The requirement is AI/ML Engineer with previous experience in building AI Agent/ Chatbots on the data. Requirements: Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn"

Position Senior Engineer - Data Engineer Job Description Position - Data Engineer What You Will Be Doing Design and development of real time software and Cloud/Web/mobile based software application. Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement. Perform software testing including unit, functional and system level requirement including manual and automated Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty. Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle. Develop software solutions from established programming languages or by learning new language required for specific project. What Are We Looking For Experience: 4 to 8 years in software/data engineering. Data Technologies: Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions. Programming Languages: Proficiency in Python is a must. Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP. Visualization Tools: Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Data Governance: Knowledge of data governance and security practices. CI/CD: Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes). Communication Skills: Excellent verbal and written communication skills in English. Agile Methodologies: Experience working in Agile development environments. AI/ML Awareness: Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications.0 Generative AI Awareness: Familiarity with Generative AI technologies and their potential use cases. Location - Indore/ Ahmedabad Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type Full time Job Category Engineering Services

Company Description FACE Prep is one of India's largest skill development companies focused on job placement. Since its inception in 2008, FACE Prep has aided millions of students in launching their careers in the tech sector. Through various programs such as Masterclasses, self-paced last-mile prep, and workshops/bootcamps, FACE Prep helps students acquire the necessary skills to land top-paying jobs in the tech industry. Our alumni are employed globally at leading tech companies including Google, Microsoft, Meta, Adobe, Paypal, Amazon, TCS, Infosys, Wipro, Thoughtworks, Cognizant, and Accenture. Role Description This is a full-time on-site role for an AIML Faculty at our Mathura location. As an AIML Faculty, you will be responsible for teaching and mentoring students in artificial intelligence and machine learning concepts. You will develop and deliver lecture materials, create and assess assignments, guide student projects, and stay updated with the latest advancements in AIML. Additionally, you will collaborate with other faculty members to enhance curriculum and participate in faculty meetings and professional development activities. Qualifications Strong background in Artificial Intelligence and Machine Learning Proficient in programming languages such as Python, R, and MATLAB Experience with AIML tools and frameworks like TensorFlow, PyTorch, and Scikit-learn Excellent teaching, presentation, and communication skills Ability to create and assess assignments, and guide student projects Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field Experience in curriculum development is a plus Passion for teaching and mentoring students

Job Information Date Opened 08/07/2025 Job Type Full time Industry Technology City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 About Us Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Job Description Research & Scoping: Collaborate with stakeholders in various teams and departments to scope out potential business use cases. Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks. Perform model optimization for performance, scalability, and accuracy. Implement advanced feature engineering techniques for both structured and unstructured data. Leverage leading libraries like TensorFlow, and PyTorch for experimentation and production. Build and optimize machine learning pipelines with tools like Vertex AI. AI Agent Development: Design and implement autonomous AI agents aimed at optimization using custom prompting and agentic workflows. Requirements Have 3-6 years of experience in the Data Science / Machine learning domain. Possess a bias for action with a track record of solving technical challenges creatively. Experienced in 0 1 MVP development and iterative prototyping. Knowledgeable and experienced in leveraging LLMs, RAG and Agentic frameworks. Passionate about staying up to date with AI trends and best practices. Strong expertise in Python, proficiency in TensorFlow, PyTorch, and MLOps practices; experience in cloud-based deployment and machine learning frameworks. Technical expertise - Hands-on experience with Gen AI, RAG, Graph AI and LLM's. Experience with cloud platforms such as AWS or GCP including AI/ML services. Knowledge of LLMs, vector databases, and applied Gen-AI techniques and frameworks (RAG, Agentic AI orchestration, LangChain, LlamaIndex, etc) Benefits What is in it for the candidate : As a team, we are concerned with not only the growth of the company, but each other’s personal growth and well being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun filled Friday’s events with a prioritizing healthy work-life balance. 1. Working for one of the fastest growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your Objectives and grow with organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career 6. Great benefits - apart from competitive compensation & benefits 7. Above all - a “fun” working environment.

Category Engineering Experience Director Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Distinguished Machine Learning Engineer Distinguished Engineer - Machine Learning Engineering At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. We’re looking for a Distinguished Engineer - Machine Learning Engineering to join the Machine Learning Experience (MLX) team! As a Capital One Machine Learning Engineer (MLE), you'll be part of a team focusing on observability and model governance automation. You will work with model training and features and serving metadata at scale, to enable automated model governance decisions and to build a model observability platform. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. What You’ll Do Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions. Partner with product and design teams to build elegant and scalable solutions to speed up model governance observability Collaborate as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation big data and machine learning applications. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Construct optimized data pipelines to feed machine learning models. Use programming languages like Python, Scala, or Java Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code. Basic Qualifications Master's Degree in Computer Science or a related field At least 15 years of experience in software engineering or solution architecture At least 10 years of experience designing and building data intensive solutions using distributed computing At least 10 years of experience programming with Python, Go, or Java At least 8 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow At least 5 years of experience productionizing, monitoring, and maintaining models Preferred Qualifications Master’s Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field 5+ years of experience building, scaling, and optimizing ML systems 5+ years of experience with data gathering and preparation for ML models 10+ years of experience developing performant, resilient, and maintainable code. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 5+ years of experience with distributed file systems or multi-node database paradigms. Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 5+ years of experience building production-ready data pipelines that feed ML models. Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 5+ years of experience in ML Ops either using open source tools like ML Flow or commercial tools 2+ Experience in developing applications using Generative AI i.e open source or commercial LLMs No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

Location: Bengaluru, Karnataka, India Job ID: R0098357 Date Posted: 2025-08-07 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No Job Description: Mission Statement: The Service excellence team is a part of the Common Shared Services organization and supports multiple functions (including Finance, SCM, HR Operations, and Trade Transport and Logistics amongst others). As AI Innovation Engineer within the Business Process Automation team, you will be part of a dynamic team focused on enabling the CSS functions to deliver their services with greater efficiency and effectiveness. Your Responsibilities: Design AI-powered solutions, including the integration of AI Agents, to handle complex, repetitive, or decision-driven tasks. Create and optimize generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) for various applications, including content creation, data augmentation, and more. Multimodal AI Integration: Develop AI solutions that integrate multiple data modalities (e.g., text, image, audio) to create cohesive and intelligent systems. Develop and implement POCs using MaaS platforms (e.g., Azure OpenAI & Google Vertex AI) and AI Agents to showcase their potential value. Configure, train, and deploy AI Agents to interact with systems, perform decision-making, and automate tasks requiring cognitive functions. Leverage MaaS platforms to deploy, monitor, and fine-tune AI models for Shared Services automation. Build APIs and pipelines to integrate AI capabilities into existing tools and workflows. Work closely with cross-functional teams to gather requirements, test solutions, and roll out AI-driven systems. Translate technical concepts into actionable insights for both technical and non-technical audiences. Collaborate with business analysts and stakeholders to analyze Shared Services workflows and identify high-impact automation opportunities. Stay ahead of trends in AI, including advancements in MaaS platforms, Large Language Models (LLMs), and natural language interfaces. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 5–7 years of experience in AI and machine learning, with exposure to generative models, AI Agents, or multimodal AI. Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras. Strong analytical and problem-solving skills with a passion for tackling real-world AI challenges. Good communication and teamwork skills, with the ability to explain technical ideas to diverse audiences. Experience working in collaborative, cross-functional environments. Familiarity with project management tools and agile methodologies is a plus. Proficiency in both spoken and written English is required. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Software Engineer, AI Safety Services Build the tools that keep AI trustworthy. The impact you'll make Enable rapid, responsible releases by coding evaluation pipelines that surface safety issues before models reach production. Drive operational excellence through reliable, secure, and observable systems that safety analysts and customers trust. Advance industry standards by contributing to best‑practice libraries, open‑source projects, and internal frameworks for testing alignment, robustness, and interpretability. What You'll Do Design & implement safety tooling -from automated adversarial test harnesses to drift‑monitoring dashboards-using Python, PyTorch/TensorFlow, and modern cloud services. Collaborate across disciplines with fellow engineers, data scientists, and product managers to translate customer requirements into clear, iterative technical solutions. Own quality end‑to‑end: write unit/integration tests, automate CI/CD, and monitor production metrics to ensure reliability and performance. Containerize and deploy services using Docker and Kubernetes, following infrastructure‑as‑code principles (Terraform/CDK). Continuously learn new evaluation techniques, model architectures, and security practices; share knowledge through code reviews and technical talks. Experiences You'll Bring 3+ years of professional software engineering experience, ideally with data‑intensive or ML‑adjacent systems. Demonstrated success shipping production code that supports high‑availability services or platforms. Experience working in an agile, collaborative environment, delivering incremental value in short cycles. Technical Skills You'll Need Languages & ML frameworks: Strong Python plus hands‑on experience with PyTorch or TensorFlow (bonus points for JAX and LLM fine‑tuning). Cloud & DevOps: Comfortable deploying containerized services (Docker, Kubernetes) on AWS, GCP, or Azure; infrastructure‑as‑code with Terraform or CDK. MLOps & experimentation: Familiar with tools such as MLflow, Weights & Biases, or SageMaker Experiments for tracking runs and managing models. Data & APIs: Solid SQL, exposure to at least one NoSQL store, and experience designing or consuming RESTful APIs. Security mindset: Awareness of secure coding and compliance practices (e.g., SOC 2, ISO 27001). Nice to have: LangChain/LangGraph, distributed processing (Spark/Flink), or prior contributions to open‑source ML safety projects. How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2508_10550_3 Posted At: Tue Aug 05 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Software Engineer, AI Safety Services Build the tools that keep AI trustworthy The impact you'll make Enable rapid, responsible releases by coding evaluation pipelines that surface safety issues before models reach production. Drive operational excellence through reliable, secure, and observable systems that safety analysts and customers trust. Advance industry standards by contributing to best‑practice libraries, open‑source projects, and internal frameworks for testing alignment, robustness, and interpretability. What You'll Do Design & implement safety tooling -from automated adversarial test harnesses to drift‑monitoring dashboards-using Python, PyTorch/TensorFlow, and modern cloud services. Collaborate across disciplines with fellow engineers, data scientists, and product managers to translate customer requirements into clear, iterative technical solutions. Own quality end‑to‑end: write unit/integration tests, automate CI/CD, and monitor production metrics to ensure reliability and performance. Containerize and deploy services using Docker and Kubernetes, following infrastructure‑as‑code principles (Terraform/CDK). Continuously learn new evaluation techniques, model architectures, and security practices; share knowledge through code reviews and technical talks. Experiences You'll Bring 3+ years of professional software engineering experience, ideally with data‑intensive or ML‑adjacent systems. Demonstrated success shipping production code that supports high‑availability services or platforms. Experience working in an agile, collaborative environment, delivering incremental value in short cycles. Technical Skills You'll Need Languages & ML frameworks: Strong Python plus hands‑on experience with PyTorch or TensorFlow (bonus points for JAX and LLM fine‑tuning). Cloud & DevOps: Comfortable deploying containerized services (Docker, Kubernetes) on AWS, GCP, or Azure; infrastructure‑as‑code with Terraform or CDK. MLOps & experimentation: Familiar with tools such as MLflow, Weights & Biases, or SageMaker Experiments for tracking runs and managing models. Data & APIs: Solid SQL, exposure to at least one NoSQL store, and experience designing or consuming RESTful APIs. Security mindset: Awareness of secure coding and compliance practices (e.g., SOC 2, ISO 27001). Nice to have: LangChain/LangGraph, distributed processing (Spark/Flink), or prior contributions to open‑source ML safety projects. How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2508_10546_2 Posted At: Tue Aug 05 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Lead Data Scientist - Delivery Job Date: Aug 6, 2025 Job Requisition Id: 61480 Location: Hyderabad, TG, IN Indore, MP, IN Pune, IN Pune, MH, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI/ML Technical Lead We are seeking a highly motivated and experienced Technical Lead having experience to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Experience: 10–12 Years Job Type: Full-time Responsibilities: End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with architects and presales teams. Ensure code modularity, testability, and governance. Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions. Provide guidance and mentorship to junior team members. Manage project timelines, resources, and risk assessments. Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions. Stay updated with advancements in AI/ML technologies and best practices Required Skills: Strong background in AI/ML model development and deployment Proficient in Python, R, and other AI-related programming languages. Experience managing cross-functional teams in an Agile environment. Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.). LangChain, LangGraph, embedding techniques, prompt engineering. Classical ML: XGBoost, Random Forest, time-series forecasting. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

About The Role We are looking for a highly skilled and forward-thinking AI/ML Engineer with 34 years of practical experience in building and deploying AI-powered solutions for industrial automation, computer vision, and LLM-based applications . The ideal candidate should have experience with the latest AI tools and frameworks including LangChain, LangGraph , Vision Transformers , and MLOps on AWS (SageMaker) , as well as expertise in building multi-agent chat applications with React agents and vector-based RAG (Retrieval-Augmented Generation) : Design, train, and deploy AI/ML models for industrial automation, including computer vision systems using OpenCV and deep learning frameworks. Develop multi-agent chat applications integrating LLMs, React-based agents, and contextual memory. Implement Vision Transformers (ViTs) for advanced visual understanding tasks. Utilize LangChain, LangGraph, and RAG techniques to create intelligent conversational systems with vector embeddings and document retrieval. Fine-tune pre-trained LLMs for custom enterprise use cases. Collaborate with frontend teams to build responsive, intelligent UIs using React + AI backends. Deploy AI solutions on AWS Cloud, leveraging SageMaker, Lambda, S3, and related MLOps tools for model lifecycle management. Ensure high performance, reliability, and scalability of deployed AI systems. Required Skills 3-4 years of hands-on experience in AI/ML engineering, preferably with industrial or automation-focused projects. Proficiency in Python and frameworks like PyTorch, TensorFlow, Scikit-learn. Strong understanding of LLMs (GPT, Claude, LLaMA, etc.), prompt engineering, and fine-tuning techniques. Experience with LangChain, LangGraph, and RAG-based architecture using vector databases like FAISS, Pinecone, or Weaviate. Expertise in Vision Transformers, YOLO, Detectron2, and computer vision techniques. Familiarity with multi-agent architectures, React agents, and building intelligent UIs with frontend-backend synergy. Working knowledge of AWS services (SageMaker, Lambda, EC2, S3) and MLOps workflows (CI/CD for ML). Experience deploying and maintaining models in production environments. Qualifications Experience with edge AI, NVIDIA Jetson, or industrial IoT integration. Prior involvement in developing AI-powered chatbots or assistants with memory and tool integration. Exposure to containerization (Docker) and model versioning tools like MLflow or DVC. Contributions to open-source AI projects or published research in AI/ML (ref:hirist.tech)

Role Overview We are seeking an experienced and technically proficient AI/ML Data Scientist Team Lead to drive innovation and lead a team focused on building scalable machine learning models and AI-driven solutions. The candidate must have a strong foundation in data science, deep learning, NLP, and Python programming, along with proven leadership capabilities. This is a highly strategic role that combines hands-on model development with technical team leadership. Key Responsibilities Lead and mentor a team of data scientists and ML engineers, providing guidance on project design, implementation, and deployment. Collaborate with stakeholders to understand business problems and translate them into data science solutions. Design, build, and validate machine learning and deep learning models for classification, regression, clustering, recommendation systems, etc. Implement NLP pipelines for text classification, entity extraction, sentiment analysis, topic modeling, and language modeling. Leverage frameworks like TensorFlow, PyTorch, Scikit-learn, and spaCy to build, train, and fine-tune ML/DL models. Optimize models for accuracy, performance, and scalability in production environments. Integrate AI models into applications and workflows via REST APIs and cloud-based solutions. Conduct code reviews, model evaluations, and ensure reproducibility and model governance. Stay updated with the latest advancements in AI/ML research and contribute to the continuous improvement of the data science roadmap. Technical Requirements Strong programming skills in Python, including libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn. Experience with machine learning algorithms, including supervised and unsupervised learning techniques. Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, GANs, etc. Hands-on experience with Natural Language Processing (NLP) using tools like spaCy, NLTK, HuggingFace Transformers. Good understanding of model evaluation, hyperparameter tuning, and cross-validation techniques. Experience with ML model deployment using Flask/FastAPI and Docker is desirable. Knowledge of cloud platforms (AWS, Azure, or GCP) for training and deployment pipelines is a plus. Leadership & Soft Skills Proven ability to lead technical teams and manage end-to-end AI/ML project lifecycles. Excellent written and verbal communication to present complex results to technical and non-technical audiences. Strong organizational and time-management skills with a delivery-focused approach. Enthusiastic about building and mentoring a high-performing team in a fast-paced environment (ref:hirist.tech)

We are seeking an experienced AI/ML Engineer with a strong background in Generative AI to join our growing team. You will play a key role in designing and deploying AI solutions using cutting-edge large language models (LLMs), deep learning, and Retrieval-Augmented Generation (RAG) techniques. Key Responsibilities Design, develop, and deploy Generative AI solutions using state-of-the-art LLMs. Build and optimize RAG pipelines to improve response quality and contextual relevance. Collaborate with product and engineering teams to integrate AI features into applications. Conduct fine-tuning, evaluation, and prompt engineering for task-specific model outputs. Implement scalable AI/ML workflows using cloud-based infrastructure and MLOps tools. Monitor performance and continuously improve model accuracy, latency, and safety. Required Skills 4+ years of experience in AI/ML development with at least 12 years in GenAI / LLMs. Proficient in Python, ML libraries (TensorFlow, PyTorch), and NLP tools. Experience with LLMs like GPT, LLaMA, Claude, Mistral, etc. Strong grasp of Prompt Engineering and few-shot/zero-shot learning. Experience building RAG architectures using vector databases (e.g., FAISS, Pinecone, Weaviate). Knowledge of AI Agents and frameworks like LangChain, AutoGen, etc. Solid understanding of MLOps, model deployment, and cloud platforms (AWS/GCP/Azure). (ref:hirist.tech)

We are looking for a skilled Senior Python Developer with experience in Django/Flask to join our dynamic team. The ideal candidate should have a strong background in backend development, database management, and API development. Preferably, the candidate should have hands-on experience with AI/ML technologies, enabling them to work on intelligent and data-driven applications. Key Responsibilities Develop, maintain, and optimize web applications using Python, Django/Flask. Design and implement RESTful APIs and integrate third-party services. Work with relational and non-relational databases such as PostgreSQL, MySQL, or MongoDB. Implement scalable backend architectures with security and performance best practices. Collaborate with frontend developers, designers, and other team members to ensure seamless application development. Optimize applications for maximum performance, scalability, and efficiency. Debug and troubleshoot application issues and performance bottlenecks. Stay updated with the latest trends in Python development and AI/ML technologies. Required Skills & Qualifications Bachelor's/Masters degree in Computer Science, Engineering, or a related field. 5 - 7 years of professional experience in Python development. Strong expertise in Django or Flask frameworks. Experience with database management systems (PostgreSQL, MySQL, MongoDB, etc.). Proficiency in developing and integrating RESTful APIs. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) is a plus. Familiarity with cloud services (AWS, GCP, or Azure) and Docker/Kubernetes is an advantage. Experience with CI/CD pipelines and version control systems like Git. Strong analytical, problem-solving, and debugging skills. Ability to work in a team-oriented, fast-paced environment. Preferred Skills Experience with big data technologies (Hadoop, Spark, etc.) is a plus. Understanding of DevOps practices and microservices architecture. Familiarity with NLP, Computer Vision, or other AI specializations. Knowledge of front-end technologies like React.js or Angular is a plus. About TechAhead TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design thinking and bespoke development solutions. With over 15 years of proven expertise, we have partnered with Fortune 500 companies and leading global brands to drive digital innovation and deliver excellence. At TechAhead, we are committed to continuous learning, growth and crafting tailored solutions that meet the unique needs of our clients. Join us to shape the future of digital innovation worldwide and drive impactful results with cutting-edge AI tools and strategies! (ref:hirist.tech)

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 15 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in AI methodologies. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies. - Evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration into applications. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions that meet business needs. Additional Information: - The candidate should have minimum 15 years of experience in Large Language Models. - This position is based at our Noida office. - A 15 years full time education is required., 15 years full time education

Job Summary We are seeking a highly skilled and innovative LLM AI Engineer to join our AI/ML team. The ideal candidate will specialize in building, fine-tuning, and deploying Large Language Models (LLMs) to solve real-world problems across various domains. You will be responsible for developing state-of-the-art language models, integrating them into production systems, and collaborating with cross-functional teams to deliver impactful AI Responsibilities : Design, develop, and fine-tune large-scale transformer-based models (e.g., GPT, BERT, LLaMA, Mistral, etc.). Perform domain-specific adaptation and fine-tuning of foundation models using techniques like LoRA, PEFT, QLoRA, and prompt tuning. Collaborate with data engineers and domain experts to curate, preprocess, and label high-quality datasets for training and evaluation. Implement efficient training, evaluation, and deployment pipelines using frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and LangChain. Optimize LLM inference and memory usage for scalability and latency reduction in production environments. Develop APIs and tools to serve LLM-powered applications in real time. Stay current with the latest research and advancements in NLP and LLMs and propose improvements or adoption of emerging techniques. Ensure responsible AI usage by incorporating fairness, safety, interpretability, and compliance : Must-Have Bachelors or Masters degree in Computer Science, AI, Machine Learning, 2- 5+ years of experience in machine learning or natural language processing. Hands-on experience working with LLMs (GPT-2/3/4, LLaMA, Mistral, Claude, PaLM, etc.). Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, HuggingFace Transformers, TensorFlow). Familiarity with prompt engineering, few-shot learning, retrieval-augmented generation (RAG), and model fine-tuning techniques. Experience with REST APIs, containerization (Docker), and ML Ops tools (e.g., MLflow, Weights & Biases). Good understanding of model evaluation metrics (BLEU, ROUGE, perplexity, hallucination : Experience deploying LLMs on cloud platforms (AWS/GCP/Azure) or using services like SageMaker, Vertex AI, or Azure OpenAI. Exposure to privacy-preserving ML, model distillation, or federated learning. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and embedding techniques. Experience with RLHF (Reinforcement Learning from Human Feedback). Contributions to open-source LLM projects or research Skills : Strong analytical thinking and problem-solving abilities. Excellent communication and documentation skills. Collaborative mindset and ability to work in fast-paced environments. Passion for AI/ML and a continuous learning attitude. (ref:hirist.tech)

Key Responsibilities You will provide leadership in designing and implementing groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready. Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Provide technical leadership and expertise for project deliverables. Leading, mentoring and managing the technical team. Key Qualifications MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures. 5+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals Experience adapting and training DNNs for various tasks Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch) : Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN. Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP). In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good To Have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures. Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workload (ref:hirist.tech)

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 4-8 years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools. - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday #LI-EDA #LI-Hybrid #DVT Job Family: Research & Development Req ID: 450858,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Artificial Intelligence Machine Learning and Data Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be executing software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Your role includes creating secure and high-quality production code while maintaining algorithms that run synchronously with appropriate systems. Additionally, you will produce architecture and design artifacts for complex applications, being accountable for ensuring design constraints are met by software code development. You will gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets, contributing to the continuous improvement of software applications and systems. Proactively identifying hidden problems and patterns in data and using these insights to drive improvements to coding hygiene and system architecture will be part of your responsibilities. Moreover, you will contribute to software engineering communities of practice and events that explore new and emerging technologies while adding to the team culture of diversity, equity, inclusion, and respect. The required qualifications, capabilities, and skills include formal training or certification in software engineering concepts with 3+ years of applied experience. Expertise as a Python Developer, particularly with Python and FastAPI, is essential. Experience with AWS services, including Lambda and Step Functions, is also required. Proficiency in AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn, with experience in model development and deployment, is a must. An understanding of front-end technologies like HTML, CSS, and JavaScript is necessary. Knowledge of databases and SQL (MySQL, PostgreSQL) and proficiency in version control systems like GitHub are key requirements. Strong problem-solving, communication, and leadership skills, with attention to detail, are also essential for this role. Preferred qualifications, capabilities, and skills include familiarity with CI/CD pipelines and DevOps practices, as well as being familiar with Data Analysis and Machine Learning libraries.,

As a Lead Software Developer (Back - End) at Pixis, you will play a crucial role in driving the development of AI-powered products and solutions. You will lead a team of talented software developers, collaborating closely with cross-functional teams to design, develop, and deploy scalable and robust software applications. Key Responsibilities: Lead a team of software developers in designing, implementing, and maintaining high-quality software solutions using agile methodologies. Architect and develop software systems that leverage AI and machine learning technologies to solve complex problems. Collaborate with product managers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and actionable plans. Provide technical guidance and mentorship to team members, fostering a culture of innovation, collaboration, and continuous improvement. Conduct code reviews, identify areas for improvement, and ensure adherence to coding standards and best practices. Drive the adoption of emerging technologies and tools to enhance the efficiency and effectiveness of the development process. Stay up to date with industry trends and advancements in AI, software development, and related technologies. Requirements & Skills: Bachelor's or master's degree in computer science, Engineering, or a related field. 6-8 years of experience in software development, with a strong focus on AI, machine learning, and/or data-driven applications. Proven experience in leading software development teams and delivering complex projects on time and within budget. Proficiency in programming languages such as Python, Java, or C++, and familiarity with frameworks such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of software engineering principles, design patterns, and best practices. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.,

You are looking for a skilled Python AI/ML Engineer with over 5 years of experience to join our team in Bengaluru, Pune, Chennai, Trivandrum, Kochi, or Mumbai on a 6+ months contract basis during IST shift hours. As a Python AI/ML Engineer, your primary responsibility will be to design, develop, and implement advanced machine learning models and AI solutions. You should have a strong background in Python, machine learning frameworks, and AI methodologies to deliver scalable solutions effectively in production environments. Your responsibilities will include developing and deploying machine learning models, optimizing AI algorithms for performance, analyzing large datasets for actionable insights, collaborating with cross-functional teams for seamless integration of AI/ML solutions, maintaining and enhancing AI/ML pipelines, staying updated with the latest advancements in AI/ML technologies through research, and conducting comprehensive testing and validation of models to ensure effectiveness and accuracy. To excel in this role, you should be proficient in Python programming, have experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, possess a strong understanding of AI and ML methodologies including supervised and unsupervised learning, NLP, and deep learning, demonstrate hands-on experience with data preprocessing, feature engineering, and large-scale data analysis, exhibit excellent collaboration skills to work effectively in cross-functional teams, and showcase exceptional analytical and critical thinking abilities to solve complex problems.,

You are a highly skilled and experienced Senior Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML), seeking to join our team. You are known for your innovative, analytical, and collaborative approach, with a proven track record in end-to-end AI/ML project delivery, encompassing data processing, modeling, and model deployment. With a minimum of 5-7 years of experience in data science, focusing on AI/ML applications, you have a deep understanding of a wide range of ML algorithms, including regression, classification, clustering, decision trees, neural networks, and deep learning architectures (e.g., CNNs, RNNs, GANs). Your strong programming skills in Python, R, or Scala, coupled with proficiency in ML libraries like TensorFlow, PyTorch, and Scikit-Learn, enable you to excel in this role. You are experienced in data wrangling, cleaning, and feature engineering, with familiarity in SQL and data processing frameworks such as Apache Spark. Your expertise extends to deploying models using tools like Docker, Kubernetes, and cloud services (AWS, GCP, or Azure), showcasing your comprehensive skill set. Your solid foundation in statistics, probability, and mathematical concepts used in AI/ML, along with proficiency in data visualization tools like Tableau, Power BI, or matplotlib, further enhances your capabilities. Additionally, familiarity with big data tools, natural language processing (NLP) techniques, time-series analysis, MLOps, and leadership experience are highly advantageous. Your problem-solving skills, combined with strong written and verbal communication abilities, enable you to convey technical insights clearly to diverse audiences. Your curiosity and adaptability drive you to stay updated with the latest advancements in AI and ML, allowing for quick learning and implementation of new technologies.,

You should have at least 3+ years of relevant experience and possess the following skills: - Deep understanding and hands-on experience with Generative AI technologies such as GPT3, ML Ops, and Python. - Proficiency in Python programming language, with expertise in machine learning, deep learning, and natural language processing (NLP). - Ability to develop and implement generative AI models, with a strong grasp of deep learning techniques like GPT, VAE, and GANs. - Familiarity with Langchain and LLM. - Skilled in optimizing few-shot techniques to enhance LLM's performance for specific tasks, like personalized recommendations. - Capable of evaluating and optimizing LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and integrating the model into robust web applications. - Solid understanding of data structures, algorithms, and software engineering principles. - Experience working with vector databases, including RDBMS, MongoDB, and NoSQL databases. - Proficient in working with embeddings and distributed systems. - Experienced in building and running large-scale platforms. - Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. - Background as a data modeling ML/NLP scientist, with expertise in performance tuning, fine-tuning, RLHF, and performance optimization using ML toolkits like PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. - Proficient in integrating data from multiple sources, API design, and mapping data to schema using NoSQL databases such as HBase, ElasticSearch, and MongoDB. - Strong knowledge of AI/ML, particularly LLMs, and eager to apply this rapidly evolving technology. - Good understanding of Kubernetes and RESTful design. - Prior experience in developing public cloud services or open-source ML software is an advantage.,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We focus on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This role involves R&D-heavy tasks with real-world applications, significant autonomy, and room for innovation. The role is based in Noida, with opportunities to travel to other locations in India and around the globe. You'll work with teams impacting entire cities, countries, and shaping the future. Key Responsibilities: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools leveraging code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 4-8 years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in the application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, with solid foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact. - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens - a diverse collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and encourage applications reflecting the diversity of the communities we work in. Employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity to help shape tomorrow. Transform the everyday.,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have : - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!,

You will be responsible for analyzing large datasets and uncovering valuable business insights through data mining techniques. You will develop and deploy predictive models for various applications such as customer segmentation, demand forecasting, and anomaly detection. Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions will be a key aspect of your role. Designing and implementing data-driven models to ensure scalability, efficiency, and accuracy is also part of your responsibilities. You will be required to perform data preprocessing and feature engineering to prepare data for analysis. Continuously monitoring, evaluating, and optimizing deployed models to improve performance will be essential. Staying current with the latest developments in machine learning and data science to implement best practices is expected. Presenting findings and recommendations clearly to both technical and non-technical stakeholders is also part of the job. To be a great fit for this role, you should have 3-7 years of experience in data science or a related role. Proven expertise in building, training, and deploying machine learning models is crucial. A solid understanding of statistical techniques, machine learning algorithms (supervised, unsupervised learning), and deep learning is required. Proficiency in Python and hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn is necessary. Strong problem-solving skills with the ability to work with large, complex datasets are also important. Excellent communication and collaboration skills to work effectively with technical and non-technical teams are a must. Experience with cloud platforms (AWS, GCP, Azure), familiarity with big data technologies (e.g., Hadoop, Spark), experience with MLOps tools and workflows, and knowledge of data visualization tools like Tableau or Power BI are considered bonus points for this role.,