9814 Tensorflow Jobs - Page 33

As a CFD Software Developer (R&D) at our company based in Bareilly, UP, you will have the opportunity to unlock your full potential in a supportive environment that celebrates achievements and views every challenge as an opportunity for growth. We are looking for individuals with a Ph.D., M.Tech/MS qualification who have an excellent understanding of numerical methods, fluid mechanics, and CFD software development. Your skills in C++, Python, and FORTRAN with OOP skills will be highly valued, along with experience in CFD software testing. In this role, expertise in various areas such as multiphase flows, phase change, thermodynamics, particle dynamics, melting and solidification, sediment scour modeling, large-scale river modeling, reaction kinetics, thermodynamics, reactor, chemical engineering processes, and FOAM will be beneficial. Additionally, experience in AI, particularly deep learning using Keras, Pytorch, or Tensorflow, is desired. You should also have a good grasp of high-performance computing and parallelization on CPUs and GPUs. Strong communication skills and a track record of paper publishing are essential for this position. If you are passionate about CFD software development and possess the preferred qualifications and skills mentioned above, we encourage you to apply and join our dynamic team where you can contribute to cutting-edge research and innovation. For any queries, please contact us at careers@paanduv.com or 8218317925.,

Summary Location: Hyderabad In this role, he will drive a strategic AI transformation across the pharmaceutical value chain, from drug discovery to commercialization, by leading enterprise-wide initiatives and coaching sub-ordinates to deliver high-impact solutions. About The Role Major Accountabilities Domain Expertise: Serve as a strategic expert in life sciences, providing leadership in applying Generative AI to drug discovery, clinical trials, regulatory affairs, pharmacovigilance, and market access. Drive thought leadership by identifying and promoting innovative Generative AI applications to position the organization as an industry leader. Business Analysis: Lead enterprise-wide initiatives to gather, analyze, and prioritize business requirements, aligning AI solutions with long-term organizational objectives. Oversee comprehensive analyses of complex business processes, designing AI-driven strategies to achieve operational excellence and competitive advantage. Authorize and review business cases, feasibility studies, and ROI analyses to secure executive approval for transformative AI initiatives. Ensure the creation of high-quality business requirements documents, process flows, and strategic roadmaps to guide enterprise-level AI implementations. Stakeholder Engagement: Act as a key liaison between C-suite executives, technical teams, and external partners, driving alignment on AI strategies and initiatives. Lead enterprise-level workshops, steering committees, and governance boards to shape AI adoption and ensure stakeholder buy-in. Represent the organization in industry forums and partnerships to advocate for AI-driven innovation in life sciences. Team Management and Coaching: Manage/mentor a team of Senior Specialist Business Analysts, providing strategic guidance, setting performance goals, and fostering professional development to ensure high-impact AI business use case delivery. Coach Senior Specialists in advanced business analysis techniques and Generative AI applications, enhancing their ability to address complex challenges in the life sciences domain and ensuring alignment with organizational objectives. Generative AI: Oversee the development and deployment of enterprise-scale Generative AI solutions, ensuring alignment with business needs and technical feasibility.s Collaborate with AI architects and data science leaders to define model architectures and deployment frameworks for life sciences applications. Ensure AI solutions are scalable, reliable, and fully integrated into mission-critical workflows. Regulatory & Compliance: Establish governance frameworks to ensure AI solutions comply with global regulatory standards (e.g., USFDA, EU, PMDA) and ethical principles. Lead risk management efforts, addressing ethical, legal, and operational risks associated with AI deployment in life sciences. Minimum Requirements 10–12 years of core Business Analyst or strategic consulting experience in the life sciences domain with at least 5 years leading AI technologies, supported by a Master’s degree in Life Sciences, Biomedical Sciences, Computer Science, Data Science, or a related field. A PhD or MBA is highly desirable. Expert understanding of Generative AI, machine learning, and their applications in life sciences. Proficiency in advanced data analysis tools (e.g., Python, TensorFlow, Power BI). Exceptional project management skills, with a proven track record of leading enterprise-scale AI projects (e.g., Agile, SAFe, or PMI methodologies). Superior analytical and problem-solving abilities, with a strategic mindset and ability to drive organizational change. Outstanding communication and leadership skills, with the ability to influence C-level stakeholders and lead cross-functional teams. Deep familiarity with life sciences/pharmaceutical regulatory requirements and industry standards. Why consider Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn More Here https://www.novartis.com/about/strategy/people-and-culture Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

100% ONSITE - 5 Days office - Sat & Sun Off Position: AI Developer Experience: 6 to 8 Years Location: Hyderabad (Mandatory) Work Mode: 5 Days Work from Office Key Responsibilities: Design, develop, and deploy AI-powered agents and intelligent automation solutions Work extensively with LLMs, NLP, and ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers) Integrate AI solutions into enterprise systems and business processes using APIs and RPA tools like UiPath or Automation Anywhere Fine-tune and optimize pre-trained AI models focusing on scalability, accuracy, and performance Collaborate with cross-functional teams – Product, Data Engineering, DevOps, and Business Stakeholders Stay updated with the latest AI advancements and apply them to business solutions Maintain proper documentation and testing protocols for AI solutions Required Skills & Qualifications: 6–8 years of hands-on experience in AI development Expertise in: LLMs (GPT, BERT, LLaMA, etc.) ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) NLP techniques (classification, NER, summarization) RPA tools and AI integration Proficient in Python (must), and optionally Java/C++ Strong knowledge of fine-tuning, prompt engineering, and inference optimization Excellent problem-solving and cross-functional communication skills Powered by JazzHR DFusY9IqqR

We are looking for an experienced Data Scientist to become a part of our team. If you have a solid background in creating and implementing advanced AI/ML models to address challenging business issues, then you might be the perfect fit for this role. As a Data Scientist, your primary responsibilities will include designing, constructing, and refining machine learning models. You will also be tasked with gathering, preprocessing, and examining extensive datasets, as well as developing data visualizations and dashboards to effectively convey your discoveries. Collaboration is key in this role, as you will be working closely with various teams to establish project requirements and deliverables. Additionally, you will be responsible for deploying AI/ML models into production and ensuring their performance, accuracy, and efficiency, along with maintaining thorough documentation of models and procedures. The ideal candidate for this position should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Moreover, you should have at least 6 years of experience in a development capacity, with a minimum of 2 years dedicated to AI/ML model development. Proficiency in Python or R is essential, along with hands-on experience in utilizing tools like TensorFlow, Keras, PyTorch, and Scikit-learn. A good understanding of big data technologies and databases is also required. Leadership skills are crucial for this role, as you will be expected to demonstrate your ability to lead and mentor others. Strong problem-solving capabilities, as well as excellent verbal and written communication skills, are equally important. If you believe you meet the qualifications mentioned above and are excited about this opportunity, please send your resume to hrd@5exceptions.com.,

ExertSense Solutions is a team of software professionals with over a decade of IT experience, dedicated to providing robust, scalable, reliable, secured, and affordable technology solutions globally. We offer services such as Enterprise Software Development, Mobile App Development, System and Server Migration, Dedicated Software Development teams, and IT Consultancy. This is a full-time hybrid role for a Generative Artificial Intelligence Architect at HCL Tech located in Noida, with flexibility for some remote work. As the Gen AI Architect, you will be responsible for implementing AI solutions, developing algorithms, analyzing data, and creating machine learning models to drive business outcomes. You should have a minimum of 12 years of experience in IT. Experience in cloud and AI architecture design for at least 5 years and software development for 3 years is mandatory for this role. Proficiency in Python, Java (and/or Golang), and Spring is required, along with expertise in AWS, Azure, Google Cloud, Kubernetes, and containerization. You should have AI expertise in machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), and NLP techniques. Additionally, experience with Hadoop and Spark, knowledge of AI ethics and governance, and familiarity with Agile and Scrum project management methodologies are essential. Desired skills and experience include API development and integration, knowledge of data storage solutions (SQL, NoSQL), AI model optimization and scaling, model evaluation and validation, monitoring and logging (Prometheus, ELK Stack), GenAI model utilization and MLOps, proficiency in Data Engineering for AI, including preprocessing, feature engineering, and pipeline creation, expertise in AI model fine-tuning, evaluation, and bias mitigation, and understanding of serverless computing, distributed systems, deep learning frameworks (TensorFlow, PyTorch), and emerging technology trends.,

As a Senior Systems Engineer specializing in Data DevOps/MLOps, you will play a crucial role in our team by leveraging your expertise in data engineering, automation for data pipelines, and operationalizing machine learning models. This position requires a collaborative professional who can design, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment. You will be responsible for building and maintaining infrastructure for data processing and model training using cloud-native tools and services. Your role will involve automating processes for data validation, transformation, and workflow orchestration, ensuring seamless integration of ML models into production. You will work closely with data scientists, software engineers, and product teams to optimize performance and reliability of model serving and monitoring solutions. Managing data versioning, lineage tracking, and reproducibility for ML experiments will be part of your responsibilities. You will also identify opportunities to enhance scalability, streamline deployment processes, and improve infrastructure resilience. Implementing security measures to safeguard data integrity and ensure regulatory compliance will be crucial, along with diagnosing and resolving issues throughout the data and ML pipeline lifecycle. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, along with 4+ years of experience in Data DevOps, MLOps, or similar roles. Proficiency in cloud platforms like Azure, AWS, or GCP is required, as well as competency in using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible. Expertise in containerization and orchestration technologies like Docker and Kubernetes is essential, along with a background in data processing frameworks such as Apache Spark or Databricks. Skills in Python programming, including proficiency in data manipulation and ML libraries like Pandas, TensorFlow, and PyTorch, are necessary. Familiarity with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions, as well as understanding version control tools like Git and MLOps platforms such as MLflow or Kubeflow, will be valuable. Knowledge of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana), strong problem-solving skills, and the ability to contribute independently and within a team are also required. Excellent communication skills and attention to documentation are essential for success in this role. Nice-to-have qualifications include knowledge of DataOps practices and tools like Airflow or dbt, an understanding of data governance concepts and platforms like Collibra, and a background in Big Data technologies like Hadoop or Hive. Qualifications in cloud platforms or data engineering would be an added advantage.,

Job Title : AI Trainer – Curriculum Designer (Smart Factory AI Training Program) Experience : 3+ Years Location : Chennai Contract Duration : Short Term Work Time : IST Shift Job Description We are seeking a dynamic and experienced AI Trainer to design, develop, and deliver tailored training content for diverse learner groups, from leadership teams to shop floor workers. The ideal candidate combines deep technical knowledge in AI/ML with instructional design expertise and experience in industrial or manufacturing environments. Key Responsibilities Curriculum Development Design structured, role-specific AI training programs for four key groups: Leadership, Technical Leads, Junior Engineers, and Shop Floor Operators Develop comprehensive training materials including presentations, hands-on exercises, case studies, and assessments Align training content with real-world manufacturing and factory automation scenarios Coordinate with technical and business teams to incorporate platform-specific use cases (e.g., Vision AI, Autonomous Systems, Data-Driven Automation) Training Delivery Conduct in-person training sessions in Chennai over 10 scheduled training days for different participant groups Deliver content clearly and effectively, customized to the learning level and needs of each audience Promote engagement through interactive methods like Q&A sessions, group exercises, and practical demos Support post-training queries and analyze feedback for continuous improvement Collaboration and Support Work closely with AI experts, product managers, and client stakeholders to validate and refine content Adapt the curriculum to align with ongoing project requirements and factory transformation objectives Training Groups and Format Leadership Team: 4 hours (2 sessions) – Strategic orientation on AI in manufacturing Technical Leads: 2 days – Applied AI/ML in industrial innovation Junior Engineers: 3 days – Developer bootcamp from data pipelines to model deployment Shop Floor Staff: 1 day × 4 batches – Basic AI awareness and practical application Required Skills and Qualifications 6 to 10 years of experience in AI/ML training, curriculum design, or corporate L&D in data science or AI Strong understanding of machine learning, computer vision, and industrial AI applications Proficiency in Python and tools such as TensorFlow, PyTorch, Jupyter, and scikit-learn Proven ability to explain complex AI/ML concepts to both technical and non-technical audiences Experience in manufacturing, robotics, industrial automation, or vision systems is highly desirable Strong presentation, facilitation, and communication skills Preferred Skills Bachelor's or Master’s degree in Computer Science, AI/ML, Engineering, or related fields Certifications in AI/ML from institutions such as DeepLearning.ai, Google, or Microsoft Experience delivering training for industrial use cases or AI product deployments Why Join This Project? Contribute to a large-scale smart factory transformation initiative Deliver impactful, real-world AI training across organizational levels Collaborate with leading AI innovators and technology teams

Are you passionate about computer vision, augmented reality, and deep learning Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We are seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches. About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is seeing is believing, and that's exactly what we're doing with Web AR. We're helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call smart shopping. As we experience significant growth, we're expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You'll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our clients" expectations. Responsibilities: - Collaborate with our engineering and production team to build and refine VTO models. - Assist in the development and training of machine learning models, particularly in computer vision applications. - Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments. - Optimize model performance for real-time user interactions. Required Skills: - Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). - Experience with computer vision libraries (e.g., OpenCV, Mediapipe). - Knowledge of 3D geometry, pose estimation, and object detection. - Familiarity with augmented reality development tools and frameworks. - Strong understanding of convolutional neural networks (CNNs) and model training techniques. - Experience working with datasets for image processing and custom landmark detection. - Attention to detail and ability to work collaboratively under deadlines. Preferred Qualifications: - JavaScript experience, particularly for integrating AR/VR solutions into web environments. - Prior experience in building virtual try-on (VTO) systems or related AR applications. - Familiarity with real-time inference optimization and model compression techniques. - Knowledge of wrist landmark detection and training custom models for body part tracking. What We Offer: - An opportunity to work in a dynamic, growth-driven environment. - Hands-on experience with innovative technology in augmented reality. - Mentorship from experienced professionals in computer vision and AR. - A platform to sharpen your skills and contribute to exciting real-world applications. THIS IS AN UNPAID INTERNSHIP THAT OFFERS AN EXCELLENT LEARNING OPPORTUNITY WITH REAL-WORLD IMPACT AND EXPOSURE TO CUTTING-EDGE TECHNOLOGY. ONLY APPLICANTS WHO CAN WORK ONSITE SHOULD APPLY.,

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

As a Full Stack Developer, you will be responsible for developing full stack applications by writing clean and efficient code. Your role will involve automating tasks using appropriate tools and scripting, as well as reviewing and debugging code. It will be essential for you to document development phases and closely monitor systems to ensure smooth operation. To excel in this role, you should have at least 2+ years of experience working with Python, Machine Learning, and related frameworks. You should be proficient in creating RESTful APIs using Python Django and have the ability to seamlessly integrate backend APIs with frontend applications. Additionally, you should possess knowledge of developing applications based on machine learning, deep learning, Gen AI, and LLM. Your expertise should include a strong command over programming languages like Python, SQL, and Big Query. Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Langchain, and Vector Base will be highly advantageous. You should also demonstrate excellent problem-solving skills and the capability to work both independently and collaboratively within a team environment. If you are passionate about developing innovative applications and have a keen interest in the field of Machine Learning, this role offers you the opportunity to showcase your skills and contribute to cutting-edge projects.,

As the leader of the AI Center of Excellence (CoE) at RMSI, you will play a crucial role in fostering innovation and excellence in AI-based solutions. Your responsibilities will include defining and executing the AI strategy in alignment with RMSI's business goals, leading the development and deployment of AI/ML models and solutions, collaborating with cross-functional teams to integrate AI into existing solutions, and ensuring the scalability, performance, and business impact of AI solutions. You will be expected to drive research and experimentation in machine learning, deep learning, computer vision, and predictive analytics, establish best practices and governance frameworks for AI development and deployment, collaborate with business leaders to understand their needs and translate them into AI solutions, and present progress, insights, and recommendations to senior leadership and external stakeholders. Furthermore, you will be responsible for building and mentoring a high-performing team of data scientists, ML engineers, and domain experts, fostering a culture of innovation, collaboration, and continuous learning within the organization. To be successful in this role, you should hold a B.Tech/M.Tech degree in Computer Science, Engineering, or a related field, with at least 15 years of overall experience, including a minimum of 6 years in AI/ML or data science roles. You should have proven experience in leading AI initiatives or Centers of Excellence in a corporate environment, strong programming and ML toolkit knowledge (such as Python and TensorFlow), and expertise in ML algorithms and OCR/NLP tools. Experience with cloud AI platforms (such as AWS, Azure, GCP) and modern ML frameworks (like TensorFlow and PyTorch) will be beneficial. Additionally, excellent leadership, communication, and stakeholder management skills, as well as experience in client engagement and cross-functional collaboration, are desired qualities for this role at RMSI.,

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). You will build intelligent systems that understand natural language queries and automate complex workflows. Additionally, you will integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. You will also prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaboration with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features is a key aspect of this role. Furthermore, you will work on prompt engineering, few-shot learning, and tool use orchestration. 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 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 (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! Transform the everyday,

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as our next Senior Machine Learning Engineer (L3) in our Comms Platform Engineering team About the job This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio's AI/ML products and services. Twilio is looking for a Senior Machine Learning engineer to join the rapidly growing Comms Platform Engineering team of our Messaging business unit. You will understand the needs of our customers and build data products that solve their needs at a global scale. Working side by side with other engineering teams and product counterparts, you will own end-to-end execution of ML solutions. To thrive in this role, you must have a background in ML engineering, and a track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across the entire Twilio organization Responsibilities In this role, you'll: Build and maintain scalable machine learning solutions in production Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applications and develop a deep understanding of the "why" behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed Work closely with data platform teams to build robust scalable batch and realtime data pipelines Work closely with software engineers, build tools to enhance productivity and to ship and maintain ML models Drive engineering best practices around code reviews, automated testing and monitoring Qualifications: Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having "desired" qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 5+ years of applied ML experience. Proficiency in Python is preferred. We will also consider strong quantitative candidates with a background in other programming languages Strong background in the foundations of machine learning and building blocks of modern deep learning Track record of building, shipping and maintaining machine learning models in production in an ambiguous and fast paced environment. You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring. Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains. You've explored some of the modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) Experience working in an agile team environment with changing priorities Experience of working on AWS Desired: Experience with Large Language Models Location This role will be remote, and based in India (only in Karnataka, TamilNadu, Maharashtra, Telangana and New Delhi). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

As an AI & ML Instructor at ADaSci, you will be responsible for delivering comprehensive corporate training sessions to experienced professionals. Your deep expertise in artificial intelligence (AI), machine learning (ML), cloud platforms (Azure, AWS, GCP), data engineering, and MLOps will enable you to design engaging and informative training sessions that empower professionals to excel in their field. Your key responsibilities will include developing and delivering training sessions on AI, ML, and related topics, designing hands-on labs and practical exercises to enhance learning, customizing training materials to meet the specific needs of corporate clients, providing real-world examples and case studies to illustrate concepts, evaluating participants" progress, and staying updated on the latest trends in AI, ML, cloud computing, data engineering, and MLOps. To excel in this role, you should possess a graduate degree with 10+ years of experience, postgraduate degree with 5+ years of experience, or a PhD with 2+ years of experience. You should have proven experience as an instructor or trainer in AI, ML, data engineering, or related fields, deep knowledge of AI and ML algorithms, proficiency in cloud platforms, experience with MLOps, strong understanding of data engineering principles, and familiarity with system design and architecture. Preferred skills include hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), knowledge of containerization technologies like Docker, experience with big data technologies (e.g., Hadoop, Spark), and previous experience in corporate training or educational settings. Strong communication, presentation, problem-solving skills, and the ability to adapt training content for diverse audiences are essential for success in this role.,

Birlasoft is a dynamic organization that brings together domain expertise, enterprise solutions, and digital technologies to redefine business processes. Our consultative and design thinking approach drives societal progress by empowering our clients to operate their businesses with unparalleled efficiency and innovation. As a member of the CK Birla Group, a multibillion-dollar enterprise, we are supported by a team of over 12,500 professionals who are dedicated to upholding the Group's 162-year legacy. Our core values center around Diversity, Equity, and Inclusion (DEI) initiatives, as well as Corporate Sustainable Responsibility (CSR) activities, showcasing our commitment to creating inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. In this role as an AI/Gen-AI Architect at Birlasoft, you will have the following responsibilities: - Designing and developing innovative AI/Gen-AI solutions customized for various industry verticals, including Banking, Financial Services, Insurance (BFSI), Energy & Utilities (EnU), Life Sciences, and Manufacturing. - Collaborating with cross-functional teams to gather requirements and understand business needs, and then translating them into scalable AI architectures. - Leading the end-to-end AI project lifecycle, from conception through deployment, ensuring that solutions adhere to best practices and organizational standards. - Evaluating and selecting appropriate AI technologies, frameworks, and tools to enhance performance and scalability. - Conducting research on emerging AI trends and technologies, and providing insights and recommendations for continuous improvement. - Establishing guidelines for data governance, model management, and deployment strategies to ensure compliance and ethical use of AI. - Mentoring and guiding junior team members, fostering a culture of innovation and knowledge sharing within the organization. - Presenting technical solutions and project updates to stakeholders and executive leadership in a manner that translates complex concepts into understandable terms. The ideal candidate for this role should possess the following skills: - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 7+ years of experience in AI/Gen-AI architecture or a related role, with a focus on solution design and implementation. - Proven experience in building AI/Gen-AI solutions across multiple verticals, particularly BFSI, EnU, Life Sciences, and Manufacturing. - Proficiency in programming languages such as Python, R, or Java, and familiarity with AI frameworks like TensorFlow, PyTorch, or Keras. - Deep understanding of machine learning algorithms, natural language processing (NLP), and computer vision techniques. - Experience with cloud platforms (AWS, Azure, GCP) and their AI services for deploying scalable solutions. - Strong problem-solving skills and the ability to think critically in high-pressure environments. - Excellent communication skills, with the capability to effectively convey technical concepts to non-technical stakeholders. Additionally, the following skills would be beneficial: - Experience with big data technologies (e.g., Spark) and data engineering practices. - Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD) in AI projects. - Experience in implementing AI governance frameworks and ethical AI practices. - Previous experience in a consulting role or working with clients to deliver AI solutions. - Advanced certifications in AI or cloud technologies (e.g., Azure Certified Machine Learning, AWS ML Engineer). This position is available in Mumbai, Pune, and Noida. Join us at Birlasoft and be part of a team that is shaping the future of technology with purpose.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

A Career at HARMAN Automotive: As a Principal Engineer at HARMAN Automotive, you will have the opportunity to leverage your strong technical and programming skills to develop innovative machine/deep learning solutions specifically focused on image and video data. Working within a diverse team of researchers, you will play a crucial role in driving projects to defined conclusions, with the aim of creating new and improved experiences in automobiles and consumer electronics. Key Responsibilities: - Develop and implement new technologies utilizing machine/deep learning for computer vision applications. - Design systems and algorithms that deliver breakthrough experiences, collaborating with the broader team to build proof-of-concept demonstration systems. - Evaluate existing technologies for market readiness through benchmarking and contribute to the transfer of new technologies to commercialization teams. - Produce reports, white papers, research papers, and patent applications. Qualifications for Success: - Possess a Master's degree in a relevant field such as electronics, computer science, or electrical engineering. - Have a minimum of 8 years of relevant experience in the industry. - Proficient in C++ and Python programming languages. - Strong conceptual understanding of image processing and computer vision. - Demonstrated knowledge of machine/deep learning algorithms and techniques for efficient computer vision applications. - Experience in porting and optimizing complex algorithms from Python to C++. - Familiarity with TensorFlow/Pytorch and relevant data science libraries, along with hardware knowledge. Preferred Qualifications: - Hold a Master's by Research or PhD degree. - Experience in authoring peer-reviewed publications and/or patents. - Understanding of computer architecture and accelerated computing (GPUs/NPUs/SoCs). - Proficiency in deploying and optimizing AI-based applications on embedded platforms like NVIDIA Jetson and Raspberry Pi. Additional Benefits: - Eligibility to work from the Bangalore office. - Flexible work environment allowing for full-time remote work globally. - Employee discounts on Harman and Samsung products. - Extensive training opportunities through HARMAN University. - Competitive wellness benefits, tuition reimbursement, and access to campus fitness center and cafeteria. - Inclusive and diverse work culture that supports professional and personal development. Join HARMAN Automotive and be a part of a team dedicated to making employees feel welcomed, valued, and empowered. We encourage diversity of thought and ideas, fostering a culture that celebrates uniqueness and encourages continuous learning and development. With a legacy of innovation that spans nearly a century, HARMAN continues to create groundbreaking technology solutions that enhance everyday experiences and drive digital transformation across various industries. HARMAN: Where Innovation Unleashes Next-Level Technology,

As a software engineer at Google, you will be part of a dynamic team developing cutting-edge technologies that revolutionize how billions of users interact with information and each other. Your role will involve working on projects of critical importance to Google, with the opportunity to switch teams and projects as the business evolves. We are seeking individuals with fresh ideas and expertise in various areas such as information retrieval, distributed computing, system design, networking, security, AI, NLP, UI design, and mobile technologies. Your responsibilities will include writing code for product and system development, participating in design reviews, reviewing code produced by other developers, and providing feedback to ensure best practices are followed. You will be involved in developing, testing, deploying, maintaining, and enhancing software solutions. Additionally, you will manage project priorities, deadlines, and deliverables, ensuring that software solutions meet high-quality standards. Joining the Google Search team means contributing to the reimagining of information search in new and innovative ways. You will work on solving complex engineering challenges, expanding infrastructure, and maintaining a universally accessible and user-friendly experience for people worldwide. Your technical expertise will be crucial in analyzing and resolving product or system issues, ensuring the stability and quality of hardware, network, and service operations. If you have a Bachelor's degree or equivalent practical experience, along with 2 years of software development experience in one or more programming languages, or 1 year of experience with an advanced degree, and 2 years of experience with data structures or algorithms, you could be the ideal candidate for this role. Additionally, a Master's degree or PhD in Computer Science or a related field, 2 years of experience in machine learning algorithms, AI, deep learning, or NLP, and experience in developing accessible technologies are preferred qualifications that would enhance your application. In this role, you will have the opportunity to make a significant impact on billions of users globally by contributing to the advancement of technology and innovation at Google.,

As the Manager- Data Science at Holcim, you will play a crucial role in the Groups Global Advanced Analytics CoE by enabling our Businesses for Insights Driven Operations and Decision making through the utilization of cutting edge Analytics tools and techniques. Your primary responsibility will involve working closely with Business / Domain Subject Matter Experts to understand pain points and opportunities, and develop analytical models to identify patterns and predict outcomes of key business processes. You will be required to identify the most suitable modeling techniques and apply Machine Learning and Deep Learning Algorithms to create self-correcting models and algorithms. It will be essential to collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions. Additionally, you will test hypotheses on raw datasets to derive meaningful insights and identify new opportunity areas. Your role will encompass all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models, and deploying Gen AI Solutions. You will be involved in designing full stack ML solutions in a distributed computing environment such as AWS and GCP, with the possibility of developing ML solutions for deployment on the edge or mobile devices if required. To be successful in this role, you should possess a total experience of 12-15 years with at least 8 years of relevant Analytics experience. Industry Experience and knowledge, particularly in Manufacturing/ Operations Functions within the Building Material Industry, Manufacturing, Process, or Pharma sectors, is preferred. Hands-on experience in statistical and data science techniques, as well as developing and deploying Gen AI Solutions, will be critical for this position. In terms of technical skills, you should have over 8 years of hands-on experience in advanced Machine Learning & Deep Learning techniques and algorithms, such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, and Transformers. Proficiency in statistical computer languages like Python and PySpark to manipulate data and draw insights from large datasets is essential. Experience with Cloud platforms like AWS, DL frameworks such as TensorFlow, Keras, or PyTorch, and familiarity with business intelligence tools and data frameworks will be advantageous. In addition to technical skills, leadership and soft skills are equally important for this role. You should lead by example on values and culture, be open-minded, collaborative, and an effective team player. Working in a multicultural and diverse team, dealing with ambiguity, and communicating openly and effectively with various stakeholders are key aspects of this position. Being driven for success, aspiring to a culture of service excellence, and always prioritizing customer satisfaction, people, and business are qualities that will set you up for success in this role. If you are motivated by the opportunity to make a significant impact through data-driven decisions and innovative solutions, we invite you to build your future with us at Holcim by applying for this role.,

As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,

En tant que Data Product Owner Senior, vous serez responsable de la prparation, de la coordination et du suivi de la ralisation de projets axs sur la data et l'intelligence artificielle. Votre rle consistera assurer la conception et la livraison de solutions innovantes et axes sur les donnes, en collaboration avec les quipes techniques, les quipes mtier et les clients. Vos principales responsabilits incluront le cadrage des besoins en matire de data et IA, la dfinition des spcifications fonctionnelles, le suivi de la conception et du dveloppement, la gestion de projet agile et l'assurance de la qualit et des performances des solutions livres. Vous serez galement le point de contact privilgi des clients pour leurs projets data/IA, garantissant un alignement stratgique entre leurs objectifs et les solutions proposes. Le profil idal pour ce poste comprend un diplme en ingnierie, informatique ou dans un domaine li la data/IA, avec au moins 5 ans d'exprience dans la gestion de projets data ou IA, de prfrence dans un environnement Agile. Vous devriez avoir une expertise en data et IA, une bonne comprhension des outils et concepts associs, ainsi que des comptences en gestion produit et en communication. La matrise de l'anglais professionnel est galement requise pour interagir avec des clients et des quipes internationaux. En rejoignant EY FABERNOVEL, vous aurez l'opportunit de travailler sur des projets d'envergure, de bnficier d'un accompagnement dans votre carrire, d'avantages attrayants tels qu'un accs des offres privilgies, une prise en charge des repas, des possibilits de tltravail et de remboursement des transports, ainsi qu'un environnement de travail stimulant et propice l'apprentissage continu.,

AI DEVELOPER LLM SPECIALIST Full-time. Company Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their capabilities. Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. Work Experience 12 years of experience in AI/ML development with specific focus on NLP and LLM-based applications. Skills, Abilities & Knowledge Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc. Proficiency in working with closed-source models via APIs (e.g , OpenAI, Gemini). Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure). Familiarity with MLOps and version control tools (Git, MLflow, etc. Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus. Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setup. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks And Benefits Flexible working hours. Saturday and Sundays are fixed off. Health Insurance and Personal Accident Insurance. BYOD (Bring Your Own Device) Benefit. Laptop Buyback Scheme. (ref:hirist.tech)

Job Title : Data Scientist Experience : 6 to 10 Years Location : Noida, Bangalore, Pune Employment Type : Full-time Job Summary We are seeking a highly skilled and experienced Data Scientist with a strong background in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). The ideal candidate will be proficient in Python and have hands-on experience working with both Google Cloud Platform (GCP) and Amazon Web Services (AWS). You will play a key role in designing, developing, and deploying AI-driven solutions to solve complex business problems. Key Responsibilities Design and implement NLP and Generative AI models for use cases such as chatbots, text summarization, question answering, and information extraction. Fine-tune and deploy Large Language Models (LLMs) using frameworks such as Hugging Face Transformers or LangChain. Conduct experiments, evaluate model performance, and implement improvements for production-scale solutions. Collaborate with cross-functional teams including product managers, data engineers, and ML engineers. Deploy and manage ML models on cloud platforms (GCP and AWS), using services such as Vertex AI, SageMaker, Lambda, Cloud Functions, etc. Build and maintain ML pipelines for training, validation, and deployment using CI/CD practices. Communicate complex technical findings in a clear and concise manner to both technical and non-technical stakeholders. Required Skills Strong proficiency in Python and common data science/ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Proven experience in Natural Language Processing (NLP) techniques (NER, sentiment analysis, embeddings, topic modeling, etc.). Hands-on experience with Generative AI and LLMs (e.g., GPT, BERT, T5, LLaMA, Claude, Gemini). Experience with LLMOps, prompt engineering, and fine-tuning pre-trained language models. Experience with GCP (BigQuery, Vertex AI, Cloud Functions, etc.) and/or AWS (SageMaker, S3, Lambda, etc.). Familiarity with containerization (Docker), orchestration (Kubernetes), and model deployment best practices (ref:hirist.tech)

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and cloud technologies that align with our business goals. You will lead AI/ML experimentation, PoCs, benchmarking, and model optimization initiatives while collaborating with data engineering, software development, and product teams to integrate ML capabilities seamlessly into production systems. Additionally, you will establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Your hands-on experience in the AI/ML domain, along with a proven track record of delivering production-grade ML systems, will be highly valued. Proficiency in machine learning algorithms, deep learning architectures, and advanced neural network design is essential. You should also possess expertise in LLMs, transformer-based models, prompt engineering, and embeddings, with strong programming skills in Python and familiarity with cloud platforms for scalable ML workloads. Having experience with MLOps tools and practices, such as MLflow, Kubeflow, SageMaker, or equivalent, will be beneficial. Furthermore, exposure to vector databases, real-time AI systems, edge AI, streaming data environments, and active contributions to open-source projects, research publications, or thought leadership in AI/ML will be advantageous. A certification in AI/ML would be a significant plus. If you are a self-driven individual with excellent leadership, analytical thinking, and communication skills, and if you are passionate about staying updated on AI advancements and championing their adoption in business use, we encourage you to apply for this exciting opportunity.,