305 Bert Jobs - Page 7

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. It is essential to be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models. Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy is required. Understanding deep learning architectures for NLP, such as transformers and BERT, is a plus. Knowledge of containerization and orchestration tools like Docker and Kubernetes is beneficial. Moreover, you should possess skills in statistical analysis and data visualization using the R-language. This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,

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. 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 Apples 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,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

Job Overview As a manager in the Signal Integrity team you will lead the SI engineers focusing on aspects of electrical design, simulation, and verification-validation testing of high speed products in the connector and/or cable assembly, radio system industrytargeting high speed communications and connectivity within datacenters and wireless infrastructure. You will be expected to drive development teams in the areas of signal integrity for product and system design including modeling, simulation, testing and circuit board layout. You will work collaboratively within a broader cross functional team of mechanical, manufacturing, & operations to execute leading edge products designs. You will assign resources to work on the signal integrity performance of a product/platform beginning with the initial analysis through prototype fabrication & evaluation, and production verification testing. You will be expected to coordinate to drive the advancement of simulation tools and capabilities, identifying potential areas of process improvement, and solving complex problems and ensuring product development success. Responsibilities: Align the technology roadmap with front end / customer, and implement accordingly Familiar with signal integrity design, simulation and validation activities through product development cycles Coordinate to define signal integrity design performance/functional requirements for new products by closely engaging with front teams / lead customers Guide the team to preform signal integrity simulations for multiple high-speed standards on each product, including determining the correct simulation methodology, as well as a good understanding of the criteria for each interface. Driving product development for business success Engaging in innovative simulation and test tool improvement and process enhancement Driving best practices and efficiency in connector design and component qualifications from a signal integrity standpoint. Being a mentor and teacher to other engineers across disciplines / BUs, writes and presents technical papers at internal and external conferences. Being an expert in analyzing competitive products and driving internal & competing IP positions Mandate Skills: Bachelors degree in electrical engineering or equivalent work experience; Masters degrees highly recommended Minium of 10 years of relevant work experience in electrical design, RF design, or PCB design, with 3+ years managerial experience in leading an electrical or SI engineering team Familiar with signal integrity analysis tools (Agilent ADS, Ansys HFSS, CST, or equivalent tools) A solid understanding of electromagnetic theory and electrical circuit behavior Good analytical capabilities to interpret simulation and lab data to identify issues and provide guidance to team to fix identified problem. Familiarity with printed circuit board design, fabrication and assembly. Fluent in English (both verbal and written) to facilitate global communication both internally and with external customers. Strong background to work in a global environment able to accommodate varying time zones and capable of collaborating with individuals across geographies. Ability to, and experience with, teaching and training peers in applying software tools and methodologies, and in the use of electrical test equipment, including VNAs and TDRs Individual must be highly motivated, a quick learner, and able to work independently Nice to have Skills: Experience with interconnect design, including socket/connector/cable/cable assembly design (high-speed twinax cables, direct attach copper (DAC) cables), and/or RF antenna, RF sub-system Design experience with communication systems (high-speed servers, switches, routers, storage, antennas, RF front end or similar systems) Solid presentation skills with an ability to clearly communicate technical concepts to diverse audiences in English Strong organizational and time management skills with an ability to manage and execute multiple tasks/deadlines/projects simultaneously with limited direction. Printed circuit board design, fabrication and assembly (Altium, AutoCAD) Test equipment (oscilloscope, vector network analyzer, BERT) Signal conditioning techniques (equalization, amplification) Direct customer design and support experience Application and test knowledge of high-speed devices and equalization techniques

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum’s Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search. Primary Responsibilities: Own the end-to-end data science lifecycle – from problem definition and experimentation to deployment, monitoring, and continuous improvement Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation Collaborate with cross-functional teams – including ML engineers, annotators, and clinical domain experts – to translate business challenges into deployable AI solutions Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka) Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in Computer Science or adjacent field Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application) 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing Solid understanding of machine learning algorithms, NLP principles, and data modeling principles Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT Proven excellent Communication Skills Proven flexibility to provide support during critical business periods Proven ability to interpret and present complex data in various formats. Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs Proven positive team player with a drive to learn and contribute to achieving results Willingness to work in varying shifts At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NJP External Candidate Application Internal Employee Application

Design and fine-tune AI apps using GPT, BERT, Azure OpenAI, and Cognitive Services. Build chatbots with Copilot Studio, RAG pipelines, vector DBs, Graph API, and M365 Plugins. Code in Python/Node.js with REST API integration. Required Candidate profile 5+ years of experience in AI/ML or Conversational AI Strong grip on prompt engineering and model fine-tuning Deep understanding of Microsoft’s AI ecosystem

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. BDC Post Silicon Engineering group has an opening for a Digital Bench characterization Engineer. This group develops Test solutions for Design verification of Highly integrated SOCs (System on Chip) designed by Qualcomm. We work with Design, System, Program Management, Yield, Reliability and Manufacturing teams to Test, support and commercialize Qualcomms products. As part of the Post Silicon Engineering group, you will be responsible for developing Test strategy & executing Bench characterization for leading edge LPDDR & PCDDR Subsystem components (DRAM, DRAM Controller, DRAM PHY, IOs, PLL/DLL, clocking architecture, Delay circuits, Power Distribution Network) and High-Speed IO interfaces (PCIe, USB2/3, Display Port, HDMI, MIPI-CSI/DSI, UFS & PLL). You will drive first Silicon debug, qualify semiconductor fabrication process, evaluate parametric performance of DDR & High-Speed IO IPs and perform failure analysis to root-cause a design problem. You with be working with IC design engineering, system engineering and Hardware applications engineering teams across the globe in a time critical environment. Education Requirements MTech, BTech or Equivalent in Electronics or Electrical Engineering with 1-3 years of related work experience Skills/Experience: Solid understanding of Electronics engineering fundamentals, DDR & High-Speed IO circuit analysis techniques and Semiconductor manufacturing process, Good understanding of Test and characterization methodology of DDR and High-Speed IO interfaces In-depth understanding of Mobile & PC DDR 2/3/4 protocol, timing diagrams, HSIO IPs PHY level understanding and Electrical parametric compliance specifications (eye diagram, differential signaling, jitter analysis, Receiver-Jitter-Tolerance, signal integrity, transmission line considerations, de-embedding). Hands-on experience using Bench instruments such as oscilloscopes, J-BERT, network / spectrum analyzers, signal generators and Logic analyzers is a must. Solid software skills for writing and debugging Test code using C, C# or Python. LabView knowledge is a plus. Using CAD software such as Mentor Graphics DA or Cadence Allegro is a plus. Ability to work effectively in a fast-paced environment with strong verbal and written communication skills. Keywords DDR, High-Speed IO, Electrical Spec compliance, Eye Diagram, Jitter, C, C#, Python, LabVIEW Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomms Audio Systems team is seeking a talented and highly motivated engineer specialized in the implementation of Voice AI and Audio solutions. You will work with a team to prototype, optimize, and productize state-of-the-art ML models, ensuring efficient deployment on snapdragon platforms Responsibilities: - Develop, optimize, and deploy Voice AI and audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs. - Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware. - Analyze and compare model architectures (such as Diffusion Models, U-Nets, Transformers, BERT, BART, etc.) for use in audio applications. - Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support. - Contribute to the design and software implementation of audio ML models in embedded C/C++ and Python. - Evaluate system performance, debug, and optimize for performance and robustness. - Participate in industry trends, benchmarking and performance analysis of various Model architecture, and bring up-to-date architectural or technical innovations to the team. Requirements: - Strong programming skills in C/C++, Python. - Experience with audio processing and embedded solutions. - Hands-on experience working with audio framework and audio solutions on any platform - Familiarity with ML frameworks (PyTorch, TensorFlow, ONNX, etc.). - Knowledge of model quantization and compression techniques, and experience optimizing inference and deployment on embedded hardware. - Strong understanding of ML model architectures such as, CNNs, RNNs, Transformers, U-Nets, and statistical modeling techniques. - Understanding of DSP or Microcontroller architectures and frameworks - Experience developing and debugging software on embedded platforms; familiarity with software design patterns, multi-threaded programming (e.g., POSIX, PTHREADS), and fixed-point coding. - Excellent verbal and written communication skills; ability to work independently and as a team player in geographically dispersed, multidisciplinary teams. - Proven ability to work in a dynamic, multi-tasked environment "” quick learner, self-motivated, and results-driven. Minimum Qualifications: Bachelors, Masters or PhD in Computer Science, Electronics and Communication, Electrical Engineering, or a related field (or equivalent work experience). Preferred Qualifications: - Experience working with Qualcomm AI HW accelerators (NPUs) and Qualcomm SDKs - Knowledge of Qualcomm Audio framework, platforms and tools Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

You will be part of a dynamic team at SAP, focused on developing AI capabilities for Concur Solution Area products like Joule and GenAI Hub. Your role will involve creating reusable AI solutions using Python-based machine learning and deep learning models such as BERT or ROBERTA. A critical aspect of your responsibilities will be to streamline process operations through AI capabilities and provide ongoing support and enhancements to LoBs operational methodologies. Your tasks will include prioritization, execution, and feedback collection to ensure efficient delivery of AI solutions. As a Full Stack Developer with 1-3 years of experience, proficiency in Java and Python is essential for this role. You will work on developing Python-based AI models, utilizing Joule and BTP products, and understanding Concur as a product capability. Your responsibilities will also include translating customer pain points into AI problems, evaluating AI deliverables, designing solutions, and developing applications to address those problems. Collaboration will be a key aspect of your role, as you will closely interact with stakeholder teams, engage in AI-based developments, and leverage Robotics to translate intelligence into actionable insights. Furthermore, you will be expected to create pitch documents, collaborate with product owners, and demonstrate a deep understanding of AI technologies and their applications. In this role, you will have the opportunity to enhance your technical skills by gaining real-time experience in the SaaS business model, cloud servicing, and support functions. You will also collaborate with internal stakeholders, deliver business presentations to executive sponsors, and leadership teams. Proficiency in LLM, Gen AI, machine learning, Python, JavaScript, and HANA ML will be advantageous in this position. At SAP, we value inclusion, health, well-being, and flexible working models to ensure that every individual, regardless of background, can thrive. As an equal opportunity workplace, we are committed to fostering a diverse and inclusive environment where all employees can reach their full potential. We believe in leveraging the unique capabilities of each individual to create a better and more equitable world. If you are excited about developing complex Python code, learning BTP capabilities, and contributing to innovative AI solutions, this role at SAP offers a rewarding opportunity to showcase your skills and grow within a purpose-driven and future-focused organization.,

Qualcomm India Private Limited is a leading technology innovator pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. Collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. Minimum Qualifications: - Possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Senior Machine Learning & Data Engineer: Join our team as a Senior Machine Learning & Data Engineer with expertise in Python development. Design scalable data pipelines, build and deploy ML/NLP models, and enable data-driven decision-making within the organization. Key Responsibilities: - Data Engineering & Infrastructure: Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies. - Machine Learning & NLP: Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn. - Python Development: Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django. - Collaboration & Communication: Work closely with cross-functional teams to integrate ML solutions into production systems. Required Qualifications: - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. Automation Engineer: As an Automation Engineer proficient in C#/Python development, you will play a crucial role in developing advanced solutions for Product Test automation. Collaborate with stakeholders to ensure successful implementation and operation of automation solutions. Responsibilities: - Design, develop, and maintain core APIs using C#. - Identify, troubleshoot, and optimize API development and testing. - Stay updated with industry trends in API development. Requirements: - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.,

You should have a minimum of 5 - 8 years of experience in Data Science and Machine Learning. Your expertise should include in-depth knowledge of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques. It is essential to be proficient in programming languages such as Python and frameworks like TensorFlow or PyTorch. A strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models is required. Experience with cloud platforms like Azure, AWS, or GCP and deploying AI solutions in a cloud environment is necessary. You should have expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, like fairness, transparency, and accountability in AI models and systems, is essential for this role. Collaborating with engineering teams to ensure seamless integration and deployment of AI models is crucial. Excellent problem-solving and analytical skills will be beneficial for translating business requirements into technical solutions. Strong communication and interpersonal skills are required to collaborate effectively with stakeholders at various levels. Understanding data privacy, security, and ethical considerations in AI applications is important. You should have a track record of driving innovation and staying updated with the latest trends in the field. Skills Required: - AI/ML, Machine Learning - TensorFlow, PyTorch - NLP techniques - BERT, GPT, Transformer models - Cloud Platforms: Azure, AWS, GCP - Data Engineering: data curation, cleaning, preprocessing - Trusted AI practices - Collaboration with engineering teams - Problem-solving and analytical skills - Communication and interpersonal skills - Data privacy, security, ethical considerations - Innovation and staying updated with the latest trends Mandatory Skills: - Generative AI techniques - NLP techniques - BERT, GPT, Transformer models - Azure Open AI GPT models, Hugging Face Transformers, Prompt Engineering - Python - TensorFlow, PyTorch - Deploying AI solutions in Azure, AWS, GCP - Deep learning in Computer Vision (CV), Large Language Model (LLM) Good To Have Skills: - DevOps and MLOps practices - Implementing CI/CD pipelines - Utilizing tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

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