149 Bert Jobs - Page 2

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to work on cutting-edge projects within the Silicon Engineering team. Your primary responsibility will involve validating building blocks in FPGA on board level to ensure functionality and performance align with the design intent. This will include various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, and I/O components. In this role, you will develop validation and characterization plans for specific IPs, bench hardware, and software. You will also be responsible for creating test logic RTL to execute validation and characterization tests effectively. Additionally, you will play a key role in driving new silicon product bring-up, validation, and debugging processes to assess IP functionality and performance, ultimately contributing to data sheet preparation. You will collaborate closely with design, verification, manufacturing, test, quality, and marketing teams throughout the product lifecycle, from Silicon arrival to product release. Furthermore, you will provide support to address customer issues post-product release, demonstrating strong written and verbal communication skills and the ability to work effectively in a cross-functional environment. The ideal candidate for this role should possess an Electrical Engineering degree with a strong passion for pursuing a career in Silicon Design Validation. You should have at least 2 years of experience and a solid understanding of High-Speed Serdes Interface characterization, including protocol compliance testing for interfaces like PCIe, Ethernet, SDI, CoaXpress, JESD204, MIPI D-PHY, MIPI CSI/DSI-2, USB, DisplayPort, and HDMI. Moreover, you should have knowledge in high-speed board design, signal integrity evaluation/debugging, Verilog/VHDL, FPGA development tools, and test automation using programming languages like Python and Perl. Familiarity with statistical analysis concepts, tools such as JMP and R, and bench equipment for device characterization will be beneficial. If you are a self-motivated individual with strong problem-solving and critical thinking skills, eager to work in a collaborative and challenging environment, then this role at Lattice may be the perfect opportunity for you to grow and excel in the field of Silicon Design Validation Engineering.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

You will be a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering. Your role will involve developing scalable web applications using the MERN stack and implementing advanced AI functionalities using models like GPT and BERT. Your responsibilities will include building and managing web applications utilizing MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js, designing and implementing RESTful APIs and WebSocket connections, creating AI-driven features with GPT, BERT, and prompt engineering, collaborating with diverse teams, and guiding junior developers. Additionally, you will be involved in sprint planning, project scoping, and ensuring timely delivery of features. To excel in this role, you must have extensive experience with the MERN stack, be skilled in JavaScript/TypeScript and async programming, possess knowledge of GPT, BERT, and AI model integration, be familiar with OpenAI API, Hugging Face, TensorFlow, or PyTorch, understand both NoSQL and relational databases, and exhibit strong communication, leadership, and problem-solving abilities. In return, you can expect a competitive salary and benefits, the opportunity to work on cutting-edge AI-integrated products, chances for leadership roles and career development, and a collaborative team environment. If you are ready to contribute to innovative full-stack + AI solutions, this position offers a full-time, permanent employment with benefits such as health insurance, internet reimbursement, paid time off, and provident fund. The work schedule includes day and morning shifts at the physical location in Bangalore.,

You will be working as a Consultant with 4 to 7 years of experience in Bangalore/Gurgaon in a Hybrid work mode. Your primary skills should include Machine Learning, Python, and Gen AI. Additionally, proficiency in Python is preferred, and familiarity with other programming languages like R and Java would be a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is required. You should also have experience working with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures. Your responsibilities will include designing and implementing AI/ML models and data-driven solutions to address complex challenges in healthcare and life sciences. You will be analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists to build end-to-end data pipelines and analytical workflows is crucial. Client engagement through interviews, workshops, and presentations will be a part of your role, contributing to deliverables and building strong relationships. Moreover, you will be translating complex analyses into clear, actionable insights for both technical and non-technical stakeholders. Continuous learning and mentorship are essential as you need to stay current with AI/ML advancements, contribute to research and proposals, and mentor junior team members. Proficiency in data manipulation, cleaning, and analysis, as well as creating clear and insightful visualizations using tools like Matplotlib, Seaborn, or Tableau, is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions will be an added advantage.,

As a Python Engineer with 2-4 years of experience, you will be responsible for building, deploying, and scaling Python applications along with AI/ML solutions. Your strong programming skills will be put to use in developing intelligent solutions and collaborating closely with clients and software engineers to implement machine learning models. You should be an expert in Python, with advanced knowledge of Flask/FastAPI and server programming to implement complex business logic. Understanding fundamental design principles behind scalable applications is crucial. Independently designing, developing, and deploying machine learning models and AI algorithms tailored to business requirements will be a key aspect of your role. Your responsibilities will include solving complex technical challenges through innovative AI/ML solutions, building and maintaining integrations (e.g., APIs) for machine learning models, conducting data preprocessing and feature engineering, and optimizing datasets for model training and inference. Monitoring and continuously improving model performance in production environments, focusing on scalability and efficiency, will also be part of your tasks. Managing model deployment, monitoring, and scaling using tools like Docker, Kubernetes, and cloud services will be essential. You will need to develop integration strategies for smooth communication between APIs and troubleshoot integration issues. Creating and maintaining comprehensive documentation for AI/ML projects will be necessary, along with staying updated on emerging trends and technologies in AI/ML. Key Skills Required: - Proficiency in Python, R, or similar languages commonly used in ML/AI development - Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML libraries - Strong knowledge of data preprocessing, data cleaning, and feature engineering - Familiarity with model deployment using Docker, Kubernetes, or cloud platforms - Understanding of statistical methods, probability, and data-driven decision-making processes - Proficient in querying databases for ML projects - Experience with ML lifecycle management tools like MLflow, Kubeflow - Familiarity with NLP frameworks for language-based AI solutions - Exposure to computer vision techniques - Experience with managed ML services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform - Familiarity with agile workflows and DevOps or CI/CD pipelines Good to Have Skills: - Exposure to big data processing tools like Spark, Hadoop - Experience with agile development methodologies The job location for this role is in Ahmedabad/Pune, and the required educational qualifications include a UG degree in BE/BTech or PG degree in ME/M-Tech/MCA/MSC-IT/Data Science, AI, Machine Learning, or a related field.,

Description: Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives. Minimum Qualifications 3+ years of experience in machine learning algorithms, statistics, and data mining models, with an emphasis on large language models (LLM) or large multimodal models (LMM). Masters degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or a related field. Preferred Qualifications Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. Proven experience in leading and mentoring teams is a plus.

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity's Supplier Development Teams find and develop suppliers to support the strategic sourcing organization in driving incremental performance in supplier quality, delivery, price and service. They teach new suppliers on how to work with TE (portal access, e-procurement tool usage, TE procedures, etc.). They extend TE Operational Advantage into the supply base to generate continuous improvement in the extended value stream, deliver incremental improvements through supplier development lead projects and achieve improvement targets specific for supplier development. They also help drive selection and development of the best total cost supply option in the region where the commodity or service is consumed. They keep abreast of emerging market options and inform the broader procurement organization of trends and new supply options. Responsibility: Electrical circuit & PCB design and optoelectronic component selection. Prototype development and evaluation Definition and/or Development of test systems for opto-electronic products Definition and coordination of test programs for purposes of design verification and product qualification Serve as liaison between Business Development, Marketing, Sales, Procurement, Manufacturing, contract design teams, customers, suppliers, and various other Engineering functions Generation of product drawings, application specifications, and instruction sheets Implementation of design changes to enhance product quality, improve manufacturability, and/or reduce manufacturing cost Review functional/performance specifications provided by customers and ensure that product requirements have been properly defined and documented prior to production. Perform/coordinate failure analysis work and determine corrective actions Initiation of Engineering Changes to improve designs, improve manufacturing, or respond to changes requested by the customer Achieve scope, schedule, and budget requirements Report out on project status as needed Meet all established project deadlines Regularly keep management informed of problems, issues, and status of on-going projects. Work with local and global counterpart / stake holder for ensuring quality deliverable and project execution. Work closely with third party vendor / supplier to define the technical requirements for the product and project execution. Mentor the new team members on design and development of opto-electronics products Desired Candidate Profile: Education/ Knowledge: BE/BTech with specialization in Electronics & Communications Engineering Min 3 years of experience in Electronics board design and development for aerospace/ automotive/industrial applications Critical experience: Electronics hardware design for industrial, defense, automotive and aerospace applications Experience with optical transceivers with associated electronics hardware design Capable of High-Speed RF and/or Mixed Signal hardware Circuit Schematic and PCB layout Design and analysis Experience with Ethernet, Fiber Channel, Infiniband, and Rapid I/O standards Familiar with the SMPTE and DVI/HDMI video standards and protocols like I2C and SPI Experience with BERT testing and eye diagram analysis of opto-electronic devices and transceivers is a plus. Experience in embedded control hardware design for power electronics applications such power distribution units (PDU), motor drivers, smart power switching will be added advantage Experience with standard test equipment such as oscilloscopes, power meters, logic analyzers, signal/spectrum analyzers, etc. Experience with EMI/EMC requirements, qualification processes and electronics documentation Familiar with RF Microwave design and use of ADS, Sonnet and HFSS software will be an added advantage Familiar with software development and tools will be an added advantage Competencies EOE, Including Disability/Vets

Job Title GenAI SpecialistExperience 0-5 YearsLocation Bangalore : We are looking for a GenAI specialist withexperience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Develop and implement AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems preferably in security area. Additionally, expertise in cyber security, data engineering, DevOps, and MLOps practices will be valuable in this role Position Summary Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills: Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certification: NA Skills PRIMARY COMPETENCY Information Security PRIMARY Cyber Security for Cloud PRIMARY PERCENTAGE 100

Job Title:GenAI SpecialistExperience4-8 YearsLocation:Bangalore : We are looking for a GenAI specialist withexperience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Develop and implement AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems preferably in security area. Additionally, expertise in cyber security, data engineering, DevOps, and MLOps practices will be valuable in this role Position Summary Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills: Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certification: NA Skills PRIMARY COMPETENCY Information Security PRIMARY Cyber Security for Cloud PRIMARY PERCENTAGE 100

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. This individual will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. AI System Design & Architecture: Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Generative AI Model Development: Lead the design and development of generative AI models, including but not limited to transformers, and large language models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. AI Strategy & Innovation: Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to continually improve performance and capabilities. Contribute to the development of AI strategies that align with organizational goals and objectives. Experience: Proven experience in AI/ML model development, with a focus on generative models such as LLM,transformers Strong experience in MLOps Strong experience designing and deploying scalable AI architectures in cloud environments (AWS). Experience with AI frameworks and libraries such as Tensor Flow, PyTorch. Experience with data engineering and pre-processing for generative models. Proficiency in Python and other relevant programming languages. Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.

Job Description: As a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering, you will be responsible for developing scalable web applications using the MERN stack. Your role will involve integrating advanced AI features utilizing models such as GPT and BERT. You will collaborate with cross-functional teams, mentor junior developers, and contribute to the development of AI-driven features. Key Responsibilities: - Building and maintaining web applications using MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js. - Designing and developing RESTful APIs and WebSocket connections. - Creating AI-driven features leveraging GPT, BERT, and prompt engineering techniques. - Collaborating with teams and providing mentorship to junior developers. - Participating in sprint planning, project scoping, and ensuring timely feature delivery. Requirements: - Proficiency in the MERN stack with hands-on experience. - Strong knowledge of JavaScript/TypeScript and async programming. - Experience in working with GPT, BERT, and integrating AI models. - Familiarity with OpenAI API, Hugging Face, TensorFlow, or PyTorch. - Understanding of both NoSQL and relational databases. - Excellent communication, leadership, and problem-solving skills. What You'll Get: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI-integrated products. - Potential for leadership roles and career advancement. - Engaging and collaborative team environment. Job Types: Full-time, Permanent Benefits: - Health insurance. - Internet reimbursement. - Paid time off. - Provident Fund. Schedule: - Day shift. - Morning shift. Work Location: In person.,

You will be part of a dynamic team at SAP, where the primary focus is on collaboration and a shared passion to help the world run better. Embracing diversity and fostering a workplace that values flexibility, we are committed to building a strong foundation for the future. As a member of our team, you will have the opportunity to contribute to the development of reusable AI capabilities for Concur Solution Area products, including Joule and GenAI Hub. Your role will involve working with Python-based Machine learning and deep learning models such as BERT or ROBERTA, necessitating a deep understanding of model operations. Your responsibilities will include delivering AI capabilities to streamline process operations and providing ongoing production-level support and enhancements to Line of Business (LoBs) operational methodologies. You will engage in a cycle of prioritization, execution, and feedback collection to ensure efficient outcomes. Additionally, you will collaborate with stakeholder teams, leverage AI-based developments, and utilize Robotics to translate intelligence into actionable insights. To excel in this role, you should possess 1-3 years of experience as a Full stack developer proficient in Java and Python, with a focus on developing Python-based AI models. Familiarity with Joule and BTP products, as well as a solid understanding of Concur's product capabilities, will be essential. You will be tasked with translating customer pain points into AI problems, evaluating the impact of AI deliverables, designing solutions, and developing applications to address identified challenges. Furthermore, you will have the opportunity to enhance your technical skills by gaining real-time experience in the SaaS business model, servicing and supporting cloud-based solutions, collaborating with internal stakeholders, and delivering business presentations to executive sponsors and leadership teams. Demonstrating a high level of responsibility, along with strong presentation, analytical, and troubleshooting skills, will be vital to your success in this role. If you are a highly talented and flexible individual with a strong foundation in LLM, Gen AI, and Machine learning, proficient in Python and JavaScript, and have knowledge of HANA ML, we encourage you to apply. At SAP, we are dedicated to fostering an inclusive culture that prioritizes well-being and offers flexible working arrangements to ensure that every individual can thrive and contribute to their fullest potential. We believe in the strength of diversity and invest in our employees to empower them to achieve their goals and create a more equitable world. As an equal opportunity workplace and an affirmative action employer, SAP is committed to providing accessibility accommodations and supporting applicants with disabilities. If you require assistance or accommodation during the application process, please reach out to the Recruiting Operations Team at Careers@sap.com. Join us at SAP, where you can unleash your full potential and be part of a team that strives to provide innovative solutions to global challenges.,

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products" supply chain. The goal of Apple's Manufacturing & Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. Were looking for experienced machine learning professionals to help us revolutionize how we manufacture Apples amazing products. Put your experience to work in this highly visible role. The Operations Advanced Analytics team is looking for creative and motivated hands-on individual contributors who thrive in a dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations, and other related algorithms to impact and optimize Apple's supply chain and manufacturing processes. As a part of this role, you would work with the team to build end-to-end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. Minimum Qualifications: - 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). - Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or related field. Preferred Qualifications: - Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. - Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. - Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. - Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. - Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. - Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. - Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. - Proven experience in leading and mentoring teams is a plus. Submit CV,

The Consultant role requires 4 to 7 years of work experience and is based in Bangalore/Gurgaon with a Hybrid work mode. The ideal candidate should possess Machine Learning, Python, and Gen AI skills. Additionally, proficiency in Python is preferred, with knowledge of other programming languages like R and Java being a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. Familiarity with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures is a significant advantage. Candidates should have experience in developing, testing, and deploying high-quality AI models and solutions and be proficient in data manipulation, cleaning, and analysis. Ability to create clear visualizations using tools like Matplotlib, Seaborn, or Tableau is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions is beneficial. Key Responsibilities include designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences. The role involves analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists is essential to build end-to-end data pipelines and analytical workflows. Interacting with clients through interviews, workshops, and presentations to contribute to deliverables and foster strong relationships is a key aspect of the role. The candidate should be able to communicate complex analyses into actionable insights for both technical and non-technical stakeholders. Continuous learning, staying updated with AI/ML advancements, contributing to research and proposals, and mentoring junior team members are also part of the responsibilities.,

In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running.The Network Infrastructure group is at the heart of a revolution to connectivity, pushing the boundaries to deliver more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise Join Optical Networks division, where innovation meets scale in the AI-driven data center era. With the recent acquisition of Infinera, weve united two industry leaders to create an optical networking powerhousecombining cutting-edge technology with proven leadership to redefine the future of connectivity. Infinera is now part of the Nokia Corporation and its subsidiaries. When you apply, the information you share will be handled with care and used only for recruitment purposes within the group. The Software QA Engineer is a key member of the Regional Escalation Support (RES) Team within the Technical Assistance Center (TAC) organization. In this role, the engineer handles advanced fault isolation and troubleshooting for complex customer issues. This position works cross-functionally with Software/Hardware Engineering, Product Line Management (PLM), Global Technical Support (GTS), and other Nokia teams to drive timely and effective resolution of issues impacting customer networks. Key responsibilities include managing assigned escalation support requests, enhancing customer satisfaction, and delivering software solutions through defect resolution, product improvements, documentation updates, and custom solution development. Prior experience with long haul or metro optical networks required Practical knowledge of Ethernet, SONET/SDH, DWDM and OTN Experience with optical test sets and solid optical troubleshooting skills using OTDR, OSA, BERT, optical power meters etc. Hands-on testing experience with ROADM, EDFA, Raman Amplifiers and Coherent Transponders Knowledge in TCP/IP networking, L2/L3 routing and switching is a plus Prior system test, scripting and/or new product introduction experience required Extensive experience with traffic generators and network protocols analysis tools Strong problem-solving skills, applicable to large and complex network scenarios Experience with creating Power Point presentations and Excel Highly detail-oriented, excellent analytical and troubleshooting skills Candidate must possess excellent inter-personal, oral and written communication skills Investigate and troubleshoot customer issues in both Production and Lab environments Provide root cause analysis and suggestions for corrective actions Produce and deliver Customer facing documents that explain technically complex issues Produce and deliver post-mortem actions to resolve issues in Customer networks Responsible for understanding the technical aspects of the supported product releases and diagnostic logs to provide expert advice concerning any issues that may arise Contribute to the development of Knowledge Base content Review new release of technical documents for accuracy and completeness Test and validate customized scripts prior to release Develop and support sustaining Technical Notes and Field Service Bulletins to be utilized by both internal and external operators

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 10+ years. Expertise in Python, LLM integration, and GenAI development workflows Strong knowledge of prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains Strong working experience in Agentic AI and Open AI. Hands-on experience with agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents Proven experience in leading LLM/GenAI projects from Proof-of-Concept to Production Deep understanding of modern data workflows ingestion, transformation, cataloguing, validation, and analytics Ability to work collaboratively across engineering, product, and governance teams Experience with enterprise data products, MLOps, or DataOps platforms Familiarity with governance workflows and metadata-driven automation Exposure to cognitive architectures or agent simulation environments Excellent communication and collaboration skills. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to be part of a dynamic team working on cutting-edge FPGA projects. This role involves validating building blocks in FPGA on the board level to ensure functionality and performance according to design intent. The FPGA includes various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, I/O, among others. In this position, you will learn how to validate one or many building blocks within the FPGA and gain knowledge of the process and methodology required for validating IPs from planning to completion. You will work with advanced equipment, boards, and software/tools while developing validation and characterization plans for specific IPs, bench hardware, and software. You will also create test logic RTL to conduct validation and characterization tests, drive new silicon product bring-up, validation, and debug processes, and analyze data sheet parameters. The ideal candidate for this role is highly motivated to develop a career in Silicon Design Validation Engineering. You will have exposure to various areas including FPGA and its building blocks, IP validation, bench hardware and software development, and more. You will lead and manage teams, possess an electrical engineering degree, have expertise in high-speed Serdes interface characterization, high-speed board design, Verilog/VHDL, FPGA development tools, test automation development, statistical analysis concepts, and bench equipment for device characterization. To excel in this role, you should have strong written and verbal communication skills, be self-motivated, proactive, possess critical thinking skills, and demonstrate good problem-solving and debugging abilities. If you thrive in a fast-paced, results-oriented environment and are looking to contribute to a team-first organization, Lattice may be the perfect fit for you.,

Responsibilities: * Develop ML models using Python, TensorFlow & PyTorch. * Optimize model performance on AWS cloud platform. * Implement NLP techniques with Bert & Scikit-Learn.

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting AI Enabled Automation Developer Staff -Python We are looking to hire people with strong AI Enabled Automation skills and who are interested in learning new technologies in the process automation space Azure . GenAI , large Lang Models(LLM). RAG ,Vector DB , Graph DB ,Python At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Requirements 2 to 3 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow(Good to have) 1-2 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers At EY, were dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way thats right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 5+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Hands on working experience in working with Generative AI models. Strong working experience in Azure AI. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. RESPONSIBILITIES: Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 7+ years. Deep understanding of Generative AI fundamentals and transformer-based architectures. Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. Hands on working experience in working with Generative AI models. Strong working experience in Azure AI. Proven experience with BERT, GPT, LLaMA, and similar LLMs. Strong hands-on experience in prompt engineering and RAG techniques. Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. Familiarity with multi-agent AI systems and collaborative model workflows. Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). Experience integrating models into enterprise platforms and APIs. Understanding of ML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. RESPONSIBILITIES: Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Oscilloscope, BERT, logic analyzer usage Signal/power integrity testing Board bring-up and hardware debugging PCIe / Ethernet interface validation Python scripting for test automation Validation test plan creation Router/Switch hardware