802 Neural Networks Jobs - Page 24

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive / predictive / prescriptive) , Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake

Data Science AI Architect to steer development of AI driven products The person in the role is required to develop architecture using AI (Machine Learning, Deep Learning) as well as Gen-AI (across prompt engineering, RAG and Fine Tuning across LLM, VLM and Multi-Modal models, both open-source as well as paid) The person in the role works closely with Principal/Chief architect, Product Managers, Delivery Manager, UI/UX developers and other developers for sprint planning and overall delivery Have a good understanding of ML Engineering and ML Ops concepts to deploy products in a multi-cloud environment

Research and Problem-Solving: Identify and frame business problems, conduct exploratory data analysis, and propose innovative data science solutions tailored to business needs. Leadership & Communication: Serve as a technical referent for the research team, driving high-impact, high-visibility initiatives. Effectively communicate complex scientific concepts to senior stakeholders, ensuring insights are actionable for both technical and non-technical audiences. Mentor and develop scientists within the team, fostering growth and technical excellence. Algorithm Development: Design, optimize, and implement advanced machine learning algorithms, including neural networks, ensemble models (XGBoost, random forests), and clustering techniques. End-to-End Project Ownership: Lead the development, deployment, and monitoring of machine learning models and data pipelines for large-scale applications. Model Optimization and Scalability: Focus on optimizing algorithms for performance and scalability, ensuring robust, well-calibrated models suitable for real-time environments. A/B Testing and Validation: Design and execute experiments, including A/B testing, to validate model effectiveness and business impat. Big Data Handling: Leverage tools like BigQuery, advanced SQL, and cloud platforms (e.g., GCP) to process and analyze large datasets. Collaboration and Mentorship: Work closely with engineering, product, and campaign management teams, while mentoring junior data scientists in best practices and advanced techniques. Data Visualization: Create impactful visualizations using tools like matplotlib, seaborn, Looker, and Grafana to communicate insights effectively to stakeholders. Required Experience/Skills 5–8 years of hands-on experience in data science or machine learning roles. 2+ years leading data science projects in AdTech Strong hands-on skills in Advanced Statistics, Machine Learning, and Deep Learning. Demonstrated ability to implement and optimize neural networks and other advanced ML models. Proficiency in Python for developing machine learning models, with a strong grasp of TensorFlow or PyTorch. Expertise handling large datasets using advanced SQL and big data tools like BigQuery In-depth knowledge of MLOps pipelines, from data preprocessing to deployment and monitoring. Strong background in A/B testing, statistical analysis, and experimental design. Proven capability in clustering, segmentation, and unsupervised learning methods. Strong problem-solving and analytical skills with a focus on delivering business value. Education: A Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred. A Bachelor's degree with exceptional experience will also be considered.

About the job: As an AI Associate at Intellisoft, you will have the opportunity to work on cutting-edge technologies in the field of artificial intelligence. If you are passionate about Python, data structures, machine learning, data science, neural networks, natural language processing (NLP), and deep learning, this role is perfect for you. Key responsibilities: 1. Develop and implement AI models to solve complex business problems. 2. Collaborate with cross-functional teams to gather and analyze data for model building. 3. Optimize and fine-tune existing AI models for improved performance. 4. Stay updated on the latest trends and advancements in AI to contribute innovative ideas. 5. Build and deploy scalable AI solutions in real-world applications. 6. Conduct research and experiments to enhance AI algorithms and techniques. 7. Provide technical guidance and mentorship to junior team members. If you are a self-motivated individual with a strong background in AI and a desire to make a significant impact, we encourage you to apply and join our dynamic team at Intellisoft. Who can apply: Only those candidates can apply who: Salary: ₹ 3,00,000 /year Experience: 0 year(s) Deadline: 2025-07-09 23:59:59 Other perks: Informal dress code, Free snacks & beverages, Cab/Transportation facility, Health Insurance, Life Insurance Skills required: Python, Data Structures, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning and Artificial intelligence About Company: Intellisoft is a software development and marketing company dedicated to empowering businesses in today's ever-evolving digital landscape. Our mission is to transform organizations by offering a comprehensive suite of services designed to drive growth and enhance efficiency.

We are seeking AI/ML engineers to develop, deploy, and optimize advanced AI models. You'll work with cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to build scalable AI solutions. Job Description: Expertise in Large Language Models (LLMs) and experience with OpenAI API, Hugging Face Transformers, and other NLP frameworks. Proficiency in fine-tuning and deploying pre-trained models for various NLP tasks. Strong knowledge of LangChain for building and managing LLM pipelines. Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-driven search. Proficiency in embedding techniques for search, recommendations, and semantic similarity tasks. Solid understanding of Prompt Engineering to optimize model performance. Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience deploying ML models using ONNX for scalable and efficient inference. Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions. Job Details: CTC: Best in the industry Role: Software Engineer Functional Area: Development Industry: IT/Software Services

Client : Accenture Level : Manager/ Senior Manager Project Role : AI / ML Architect Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : AI/ML, NLP, LLM, GEN AI Experience : 12- 20 years Educational Qualification : 15 years full time education Summary: As an AI / ML Architect, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions.

fleetx.io is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

The Staff ML Scientist will work with a team to conduct world-class Applied AI research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as we'll as deliver innovative technologies and insights to Visas strategic products and business. This role represents an exciting opportunity to make key contributions to Visas strategic vision as a world-leading data-driven company. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. Essential Functions Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders. Work with product engineering to ensure implement-ability of solutions. Deliver prototypes and production code based on need. Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems. Build needed data transformations on structured and un-structured data. Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as we'll as use of packaged tools based on machine learning, analytics, and statistical techniques. Devise and implement methods for adaptive learning with controls on efficiency, methods for explaining model decisions where vital, model validation, A/B testing of models. Devise and implement methods for efficiently monitoring model efficiency and performance in production. Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production. Contribute to development and adoption of shared predictive analytics infrastructure. Basic Qualifications: 8 or more years of work experience with a Bachelors Degree or with an Advanced Degree. Relevant coursework in modeling techniques such as logistic regression, Na ve Bayes, SVM, decision trees, or neural networks. Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++, or C#. Experience with one or more common statistical tools such SAS, R, KNIME,. Deep learning experience with TensorFlow is a plus. Experience with Natural Language Processing is a plus. Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a must. Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Description Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. You will be a member of the Systems Engineering Team at Cadence with a focus on developing and optimizing solutions for a wide range of IP products. Neural networks are being developed and deployed in a wide range of markets, from IoT to surveillance to automotive. The computational, power, and memory requirements to process this data are continuously increasing, with new networks and new ways to approach deep learning every day. As a member of the Neo NPU compiler team, you would be responsible to design, develop solutions and optimize power, performance and area for scalable IP products for use in diverse fields. Members of the IP Systems Engineering Team are technical experts in their field. In this position, you will work with other development engineering teams as well as the customer support teams. You will also be involved in supporting customers with the programming, use and integration of these IP products into their systems. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique One Cadence - One Team culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other every day. Job responsibilities: BE / BTECH / ME / MTECH Equivalent Degree Bachelors/Masters degree in EE/EC/Computer Engineering with 2 to 5 years of work experience Excellent knowledge of computer architecture of embedded processors Proficient in programming with a good understanding of efficient implementation of high-performance algorithms and data structure design Must be familiar with writing, debugging and optimizing software on embedded processor and emulation platforms C/C++ programming, experience in writing drivers and low-level firmware programming Strong communication skills - written and oral are required Experience in working with geographically diverse and cross-functional teams Experience in working with customers and resolving customer issues Understanding of Neural Networks / Deep Learning in areas of vision, speech are a plus As part of the job requirements, some travel (up to 5% of time), including international travel may be required We re doing work that matters. Help us solve what others can t.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Description Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. You will be a member of the Systems Engineering Team at Cadence with a focus on developing and optimizing solutions for a wide range of IP products. Neural networks are being developed and deployed in a wide range of markets, from IoT to surveillance to automotive. The computational, power, and memory requirements to process this data are continuously increasing, with new networks and new ways to approach deep learning every day. As a member of the Neo NPU compiler team, you would be responsible to design, develop solutions and optimize power, performance and area for scalable IP products for use in diverse fields. Members of the IP Systems Engineering Team are technical experts in their field. In this position, you will work with other development engineering teams as well as the customer support teams. You will also be involved in supporting customers with the programming, use and integration of these IP products into their systems. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique One Cadence - One Team culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other every day. Job responsibilities: BE / BTECH / ME / MTECH Equivalent Degree Bachelors/Masters degree in EE/EC/Computer Engineering with 4 to 8 years of work experience Excellent knowledge of computer architecture of embedded processors Proficient in programming with a good understanding of efficient implementation of high-performance algorithms and data structure design Must be familiar with writing, debugging and optimizing software on embedded processor and emulation platforms C/C++ programming, experience in writing drivers and low-level firmware programming Strong communication skills - written and oral are required Experience in working with geographically diverse and cross-functional teams Experience in working with customers and resolving customer issues Understanding of Neural Networks / Deep Learning in areas of vision, speech are a plus As part of the job requirements, some travel (up to 5% of time), including international travel may be required We re doing work that matters. Help us solve what others can t.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Description Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. You will be a member of the Systems Engineering Team at Cadence with a focus on developing and optimizing solutions for a wide range of IP products. Neural networks are being developed and deployed in a wide range of markets, from IoT to surveillance to automotive. The computational, power, and memory requirements to process this data are continuously increasing, with new networks and new ways to approach deep learning every day. As a member of the Neo NPU driver and functional safety team, you would be responsible to design, develop solutions and optimize power, performance and area for scalable IP products for use in diverse fields. Members of the IP Systems Engineering Team are technical experts in their field. In this position, you will work with other development engineering teams as well as the customer support teams. You will also be involved in supporting customers with the programming, use and integration of these IP products into their systems. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique One Cadence - One Team culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other every day. Job responsibilities: BE / BTECH / ME / MTECH Equivalent Degree Bachelors/Masters degree in EE/EC/Computer Engineering with 2 to 5 years of work experience Excellent knowledge of computer architecture of embedded processors Proficient in programming with a good understanding of efficient implementation of high-performance algorithms and data structure design Must be familiar with writing, debugging and optimizing software on embedded processor and emulation platforms C/C++ programming, experience in writing drivers and low-level firmware programming Familiarity with Functional Safety, ISO 26262 and JAMA is preferred Strong communication skills - written and oral are required Experience in working with geographically diverse and cross-functional teams Experience in working with customers and resolving customer issues Understanding of Neural Networks / Deep Learning in areas of vision, speech are a plus As part of the job requirements, some travel (up to 5% of time), including international travel may be required We re doing work that matters. Help us solve what others can t.

ECMS ID 513251 Name of the Infosys PM and Employee No.* Vinodaran.d ECMS Request Number* Request Category (Opportunity/ Production) * (must be same as chosen in ECMS) Opportunity Number of openings 1 Job Title*Sr Data Scientist Work Location & Reporting Address* BANGALORE Vendor Rate* 9000 INR/Day Contract duration (in months)* 9 Months Skill Set/JD Required Skills and Experience: 8+ years of experience in data science or a related field. Experience with smart maintenance using Databricks and large language models (LLMs). Experience deploying models (ML or LLM) outside Cognite and consuming them through Cognite API. Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Experience with deep learning and neural networks, particularly for LLMs. Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation. Experience working with models like GPT and BERT. Building conversational agents using LLMs and ML workflows. Techniques for model evaluation (e.g., cross-validation, A/B testing). Experience with JSON, REST APIs, and Data Modeling. Strong experience with Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage. Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Experience with ETL processes. Ability to integrate data from different sources. Experience with Azure, AWS, or Google Cloud for data storage, processing, and deployment. Familiarity with continuous integration and continuous deployment processes for automating ML model and data pipeline deployment. BGV Check(post or pre-onboarding) Post Subcon Staffing end date: Dec ,2025 Niche Category (Niche/ Super Niche/Vanilla): Niche Client interview* (yes/No): Yes One person project* (yes/No) No Required Experience: >5 years Job Level JL5

About this role Who We Are Quantitative Modeling and Research (QMR) is an innovative team within Single Security Pricing (SSP) area. We specialize in crafting sophisticated risk and valuation models that span a diverse range of products, including interest rates, FX, inflation, equity, and credit. Our mission goes beyond traditional quantitative models; we are at the forefront of exploring novel modeling techniques, such as neural networks, to tackle complex problems in quantitative finance. What makes working on the team both challenging and rewarding : Focus on business : We do not solve the math problem - we solve the business problem! Breadth of product coverage: We support both BlackRock with over $11T AUM and Aladdin clients with trillions more. This is a tremendous breadth of products we need to cover. Excellence in modeling and coding: We pride ourselves both on building great models and writing high quality code. Collaborative environment: We have a lot of smart people on the team. Working here is a great chance to both learn and to teach others. Job Responsibilities Model Governance: work on the research and development of a model surveillance and model performance framework for the Single Securities Pricing Team (SSP), primarily focused on interest rate derivative models. Responsibilities will include implementation and maintenance of the model surveillance and performance monitoring infrastructure for the models supported by the team. Typically, this involves quantitative analysis of derivative model output and implementation of functions/applications, in Python, to compute thresholds and monitor ing of daily values. Enhance model documentation for a suite of pricing models supported by the team. Collaborate with the second line validation team in all aspects of model validation and compliance. Thought Leadership: keep abreast of recent trends in quantitative finance, capital markets and government regulation. Bring the latest techniques to bear on the problems we face in our day-to-day work. Closely collaborate with model owners to enhance the models based on findings. Qualifications An undergraduate degree in a quantitative field such as Math, CS, Engineering or Physics is required . An advanced degree is a plus, but understanding modeling is more important than formal qualifications. Understanding of Fixed Income valuation and modelling concepts including but not limited to yield curve contraction techniques, risk-neutral pricing framework, and routes to calibrate the stochastic models. Coding is at the heart of everything we do. Expertise in Python and familiarity with C++ is needed. You are expected to have the expertise to develop Python applications leveraging in-house Python/C++ libraries. An Analytical Frame of Mind: keen interest in solving analytical problems is key. Excellent Communication Skills: you will be interacting with other teams in the firm. The ability to explain your research and results to your non-technical counterparts in terms that they can follow is important.

Job ID: 199716 Required Travel :Minimal Managerial - No Location: :India- Pune (Amdocs Site) Who are we Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Our Consultant role provides services for Amdocs and 3rd party applications, also runs programs, applies functional business standard methodologies to transform business processes, crafts and leads change to restructure and transform organizations and achieves business objectives. What will your job look like You will: Lead and define tuning database parameters and promote the standardization per product cross customers world wide Set business objectives and targets to ensure success. You will answer the call to integrate various functions and business plans within the Amdocs Quality Engineering Americas region. Be a focal point to the sales process by demonstrating experience and business insights to help the customer understand the value that Amdocs provides through its consulting and software solutions. Provide professional mentorship and coaching to project management and development teams, implementation groups as well as customer architects - internal and external Amdocs customers, including partners without database understanding. Build open lines of communication and develop processes and programs, that will encourage a multi-cultural team to achieve unit goals. Drive organizational integrity and assure excellent delivery across all regional engagements by enabling and promoting standard tools and practices used in the organization as well as drive out-of-the-box solutions that include introducing improvements to further build positive efficiency across operations. Craft and review test solutions and scenarios, to be implemented and executed in alignment with the scope settled during test planning, demonstrating knowledge and a broad understanding of the business process & requirements. Support various project aspects such as schedule, budget, risks, work tasks, etc. Lead consulting team, external contractors, Amdocs matrix teams, and/or customer personnel in a matrix manner Drive different engagements and develop their experience. All you need is... Minimum of 5 years of experience in the following: Building on domain expertise and industry leading methodologies to shape long-term development strategy for continued expansion. You'll develop and prioritize a list of recommended improvements to extend the value of the project. Domain and practice expertise - based on the need (e.g., BP, BR, PMO, data analytics) and nature of the role. Proven customer facing experience. Proven track record of meeting time limit and driving work Experience owning an autonomous stream within a large program, and potentially responsible for leading and overseeing resources in a matrix environment (matrix could contain one or more resources) Experience in identifying sales leads and opportunities resulting in revenue growth Experience in tasks related to sales cycles and in sales-related activities (RFPs, RFIs) Bachelor's degree in Science/IT/Computing or equivalent Certification PMP, PMI preferred, Post Graduate optional Why you will love this job: You will be able to use your specific insights to lead business change on a large scale and drive transformation within our organization. You will be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development. You will have the opportunity to work in multinational environment for the global market leader in its field! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave! Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

PositionSenior AI/ML Engineer - GCP LocationHyderabad/Bangalore/Pune Work ModeHybrid About the Company: Relanto is a global advisory, consulting, and technology services partner, empowering customers to accelerate innovation by harnessing the power of Data and AI, Automation, NextGen Planning, and Cloud Solutions. Overview We're seeking an experienced individual (5-10 years) specializing in AI/ML to build and deploy cloud-based machine learning solutions. You'll work with Google Cloud Platform services to create scalable AI systems and APIs that integrate with various ML models. What You'll Do: Design and implement end-to-end ML pipelines in GCP Build and optimize AI models for production deployment using Vertex AI Develop RESTful APIs for ML model serving Implement vector search capabilities using BigQuery ML Create automated testing and deployment pipelines for ML models Set up model monitoring and performance tracking Optimize model inference and serving capabilities Must Have Skills: Strong Python programming with ML frameworks (PyTorch, TensorFlow) Experience with large language models and prompt engineering Proficiency in GCP AI services (Vertex AI, Cloud ML Engine) Vector search implementation (BigQuery ML, Matching Engine) RESTful API development with FastAPI/Flask Container orchestration with Docker and Google Kubernetes Engine (GKE) CI/CD pipeline experience for ML workflows Why Join Us: Competitive salary and benefits. Opportunities for professional growth and development. Collaborative and inclusive work culture. Flexible working arrangements for work-life balance. Exposure to innovative data analytics and visualization projects.

About Trellance: Trellance is a leading provider of data analytics, business intelligence solutions, professional services, and consulting for credit unions. Founded in 1989, Trellance supports over 1,500 organizations across the United States, helping them uncover actionable insights, improve member experiences, and achieve portfolio growth. Our headquarters is in Tampa, FL. Job Summary: We are seeking a detail-oriented Senior Data Scientist to join our team. The Senior Data Scientist will be responsible for collecting, analyzing, interpreting, and presenting quantitative data to help us deliver exceptional data-driven insights and solutions to our clients. The ideal candidate will have experience in the BFSI industry, strong statistical knowledge, predictive modeling skills, experience with statistical software, and the ability to translate complex data into actionable insights. Key Responsibilities: Machine Learning and Model Optimization Design and implement machine learning models, including supervised and unsupervised algorithms, neural networks, and ensemble methods. Train, validate, and evaluate model performance using appropriate metrics and techniques. Optimize models for scalability, efficiency, and interpretability. Statistical Insights and Communication Interpret statistical findings to provide insights into business performance, market trends, and consumer behavior. Communicate complex statistical concepts and findings to clients in a clear and concise manner. Collaboration and Continuous Improvement Collaborate with cross-functional teams to develop solutions that meet client needs. Stay updated on new statistical methodologies, tools, and technologies. Documentation and Knowledge Management Develop and maintain documentation of statistical methods, analyses, and data sources. Qualifications: Bachelors Degree or Masters degree in Statistics, Mathematics, Data Science, Engineering, or a related field. 3 to 5 years of experience in a statistician, data scientist, or similar role. Good to have experience in the BFSI industry. Experience in statistical analysis , segmentation, hypothesis testing, forecasting, predictive modeling, and machine learning. Serve as a subject matter expert on statistical methodologies and techniques. Good Knowledge of software packages, such as R or Python . Basic knowledge of any visualization tool such as Power BI and Tableau. Experience with machine learning libraries/frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex problems. Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences. Ability to work independently and in a team environment. Good to have experience in deep learning and AI.

Job Information Job Opening ID ZR_2452_JOB Date Opened 05/04/2025 Industry IT Services Job Type Work Experience 3-5 years Job Title Ai engineer City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks. Key Responsibilities: Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications. Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access Process and prepare data to support RAG workflows, ensuring data quality and relevance. Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities. Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance. Ensure the scalability, reliability, and performance of data retrieval in production environments. Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge. What we’re looking for: Master’s degree in Data Science or a related field is preferred. Approximately 8 years of experience in Data Science, MLOps, and Data Engineering Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing. Proficiency in Python Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems. Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation tasks. Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions. Proficiency in Azure AI, Databricks, and other relevant tools.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Description Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. You will be a member of the Systems Engineering Team at Cadence with a focus on developing and optimizing solutions for a wide range of IP products. Neural networks are being developed and deployed in a wide range of markets, from IoT to surveillance to automotive. The computational, power, and memory requirements to process this data are continuously increasing, with new networks and new ways to approach deep learning every day. As a member of the Neo NPU driver team, you would be responsible to design, develop multicore and multi-threaded solutions and optimize power, performance and area for scalable IP products for use in diverse fields. Members of the IP Systems Engineering Team are technical experts in their field. In this position, you will work with other development engineering teams as well as the customer support teams. You will also be involved in supporting customers with the programming, use and integration of these IP products into their systems. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique One Cadence - One Team culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other every day. Job responsibilities: BE / BTECH / ME / MTECH Equivalent Degree Bachelors/Masters degree in EE/EC/Computer Engineering with 7 to 12 years of work experience Excellent knowledge of computer architecture of embedded processors Proficient in programming with a good understanding of efficient implementation of high-performance algorithms and data structure design Must be familiar with writing, debugging and optimizing software on embedded processor and emulation platforms Must be familiar with multicore and multi-threaded embedded systems /C++ programming, experience in writing drivers and low-level firmware programming Strong communication skills - written and oral are required Experience in working with geographically diverse and cross-functional teams Experience in working with customers and resolving customer issues Understanding of Neural Networks / Deep Learning in areas of vision, speech are a plus As part of the job requirements, some travel (up to 5% of time), including international travel may be required We re doing work that matters. Help us solve what others can t.

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML Architect, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud or on-prem application pipeline with production-ready quality. Collaborate with cross-functional teams to ensure successful implementation of AI/ML solutions.Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Machine Learning Services. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification. Strong understanding of AI/ML algorithms and techniques. Experience with deep learning, neural networks, chatbots, and image processing. Experience with cloud data architecture solutions. Experience with cloud or on-prem application pipeline with production-ready quality. Experience with integrating multiple services such as NLP, voice recognition, and third party APIs. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Additional Information: The candidate should have a minimum of 17 years of experience in Google Cloud Machine Learning Services. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualification Total 15 years of full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Additional Information: The candidate should have a minimum of 5 years of real time experience in Machine Learning. A 15 years full time education is required. Qualifications 15 years full time education