50 Dl Jobs - Page 2

Job Purpose:Provide in-depth analysis and feedback to supervisors and product, policy, collections, and fraud risk teams within the Bank. Build scorecards to assess portfolio behaviors, with a strong emphasis on credit analytics and digital innovation in lending processes.Job Responsibilities: Core Credit Analytics Focus: Analyze loan portfolio behaviors, build and maintain scorecards, and provide actionable insights to enhance decision-making for product, policy, collections, and fraud risk teams. Digital Innovation in Lending: Understand the loan processing environment for various products from an innovation perspective, identify digital opportunities, and implement projects to optimize lending journeys based on opportunities identified by the Team Lead. Project Management: Manage the complete lifecycle of digital projects, including requirement gathering, working with IT/BTG for vendor identification, FPN approval, UAT testing, and other support to ensure successful project go-live. Collaboration with IT: Work closely with IT counterparts to ensure seamless project management and execution of credit analytics and digital initiatives. Fintech Engagement: Explore and engage with Fintechs, evaluate their solutions, and implement those that align with organizational goals, particularly in credit and lending areas. Educational Qualifications: MBA, CA, FRM, or CFA (mandatory). Key Skills: Minimum 1 year of hands-on experience with Python (non-negotiable) for data analysis, modeling, and automation. Strong technical and analytical skills with expertise in credit analytics. Proficient in Excel modeling and financial statement analysis. Excellent written and verbal communication skills. In-depth knowledge of banking products, processes, accounting principles, and regulatory frameworks. Awareness of competition and current trends in the financial industry. Additional Requirements: Ability to work in a fast-paced environment and deliver actionable insights. Strong problem-solving skills and attention to detail. Why Join Us? Opportunity to work on cutting-edge credit analytics projects and drive digital transformation in lending. Collaborate with top-tier teams in a dynamic banking environment. Grow your career with a focus on innovation and strategic impact. How to Apply:Interested candidates with at least 1 year of Python experience and the specified qualifications are encouraged to apply. Please upload your resume and cover letter highlighting your Python experience and credit analytics background.

Responsibilities: Collaborate with cross-functional teams on project delivery. Develop machine learning models using Python & TensorFlow. Optimize data pipelines for efficiency & accuracy. Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative Al models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative Al applications. Experience in building and deploying generative Al systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative Al models. Decode the Requirements to functional modules and product features Pipeline building integration and testing following the SDLC process

Promote products through field visits, manage client relations, identify new opportunities, collaborate with the team, travelling atleast 4 days in a week and ensure accurate sales reporting.

Promote products through field visits, manage client relations, identify new opportunities, collaborate with the team, travelling atleast 4 days in a week and ensure accurate sales reporting.

Promote products through field visits, manage client relations, identify new opportunities, collaborate with the team, travelling atleast 4 days in a week and ensure accurate sales reporting.

Promote products through field visits, manage client relations, identify new opportunities, collaborate with the team, travelling atleast 4 days in a week and ensure accurate sales reporting. Perks and benefits Salary 15k-20k & expense reimbursement on actuals.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

Certified in at least one of the recent web technologies Solid experience in web development using recent web technologies and frameworks. (3 or more year of experience) Certified in Artificial Intelligence/ Machine Learning 3 or more successful Artificial Intelligence projects within enterprise settings. Solid experience in developing AI applications using Python machine learning libraries such as Numpy, Pandas, Scikit-Learn, PyTorch, NLTK, spaCy, etc., (2 or more years of experience) Advanced knowledge in machine learning, deep learning, natural language processing, generative AI, large language models and retrieval augmented generation

Naresh IT KPHB branch is hiring for an experienced Data Science trainer. Candidates Should have a good knowledge of Machine learning , Deep Learning , R Programming; Python, Statistics,Hadoop etc. Up to date knowledge of IT skills,software packages. Designing the Course modules as per the skills needed.Mandatory to have training experience. Responsibilities: Design and deliver comprehensive Data Science training programs for students at various experience levels. Develop engaging and interactive course modules covering core Data Science concepts, methodologies, and tools. This includes, but is not limited to: Machine Learning, Deep Learning, R Programming, Python, Statistics, and Hadoop. Stay up-to-date with the latest advancements in Data Science technologies and integrate them into your curriculum. Effectively explain complex Data Science concepts in a clear and concise manner. Conduct practical exercises and projects to provide students with hands-on experience and prepare them for real-world Data Science challenges. Provide ongoing support and guidance to students throughout the training program. Actively seek feedback from students and industry professionals to continuously improve the training content.

No. of Positions - 2 Office Location - Bangalore & Chennai. Your work location - Permanent work from home. T.E. -4 to 10 yrs Position: Data Scientist / Architect for experienced candidates. Location: Offshore NP - Immediate to 7 days from the date of the offer Mode - Direct Payroll. Your Vertical in Kumaran - Banking Vertical - Investment banking. Shift timing - 10.30 am to 7 pm. Weekend - Sat and Sun. Interview mode - online - VC via MS Teams. Duration of interviews - 30 mins. No. of interviews - 2 - L1, L2 from India. Roles and Responsibilities: Strong in Python programming with excellent in Data Structure, Algorithms, REST, FastAPI, Flask, and RDBMS. With an excellent understanding of ML / DL / ANN concepts Good experience in programming with ML libraries Scikit-learn, Keras and/or PyTorch with a good understanding of ML / DL / ANN concepts . Working experience in GenAI technologies, particularly LLM experience like GPT / Llama2 / Gemini / Hugging Face etc., Working experience in Prompt Engineering, Model training, Lang Chain, Semantic Kernel, Speech, and Text. Good experience in Flask, Rest API, Django, and Fast API will be an added advantage. Good understanding of Distributed computing, microservices, Docker etc. Cloud experience preferably in Azure services Resumes are to be shared with devika.raju@kumaran.com or WhatsApp 8122770798

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Key Responsibilities. Predictive Modeling & Deep Learning:. Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. Train and fine-tune reinforcement learning models for strategic cricket decision-making. Develop ensemble learning techniques to improve predictive accuracy. In-Depth Cricket Analytics:. Design models to analyze player form, team strengths, matchups, and opposition weaknesses. Build player impact and performance forecasting models based on pitch conditions, opposition, and recent form. Extract insights from match footage and live tracking data using deep learning-based video analytics. Data Processing & Engineering:. Collect, clean, and preprocess structured and unstructured cricket datasets from APIs, scorecards, and video feeds. Build data pipelines (ETL) for real-time and historical data ingestion. Work with large-scale datasets using big data tools (Spark, Hadoop, Dask, etc.). Model Deployment & MLOps:. Deploy ML/DL models into production environments (AWS, GCP, Azure etc). Develop APIs to serve predictive models for real-time applications. Implement CI/CD pipelines, model monitoring, and retraining workflows for continuous improvement. Performance Metrics & Model Explainability:. Define and optimize evaluation metrics (MAE, RMSE, ROC-AUC, etc.) for model performance tracking. Implement explainable AI techniques to improve model transparency. Continuously update models with new match data, player form & injuries, and team form changes. About CompanyAt Lifease Solutions LLP, we believe that design and technology are the perfect blend to solve any problem and bring any idea to life. Lifease Solutions is a leading provider of software solutions and services that help businesses succeed. Based in Noida, India, we are committed to delivering high-quality, innovative solutions that drive value and growth for our customers. Our expertise in the finance, sports, and capital market domains has made us a trusted partner for companies around the globe. We take pride in our ability to turn small projects into big successes, and we are always looking for ways to help our clients maximize their IT investments

Role Title AI Developer Function Software Development Reporting Senior Manager Location & Shift Noida (11am-8pm should be flexible) Role purpose We are looking for an experienced and highly skilled Data Scientist to join our growing team. The ideal candidate will play a crucial role in developing and deploying advanced data-driven solutions, leveraging AI, machine learning, and data analysis to drive product innovation in the fintech space. This role involves end-to-end project management, from ideation and model development to deployment, with a strong focus on generative AI, NLP, OCR, predictive modelling, cloud deployment, and model optimization. Key Accountabilities AI/ML Model Development: Design, develop, and deploy machine learning models to enhance our suite of fintech solutions. Work on NLP projects for text summarization, retrieval, and regulatory compliance checks using Langchain. Utilize generative AI technologies for innovative solutions in image generation, LLM fine-tuning, and chatbots Data Processing & Analysis: Integrate and deploy tools like Simplemma, Google OCR, and SpaCy for multilingual text processing and analysis. Implement solutions for processing diverse datasets, including video and images, ensuring comprehensive analysis and scrutiny. Big Data & Cloud Deployment: Deploy and manage scalable data solutions on cloud platforms (AWS, Azure), optimizing data pipelines and model performance. Use PySpark and AWS EMR clusters to handle and analyze large datasets efficiently. Implement CI/CD pipelines for seamless and automated model deployment. Model Optimization & Performance: Optimize machine learning and deep learning models for performance and scalability. Conduct hyperparameter tuning and model validation to ensure high accuracy and efficiency. Implement model retraining strategies to maintain performance with evolving data. OCR Technologies & Data Classification: Develop and integrate OCR-based solutions for automated document processing and data extraction. Apply classification techniques to categorize financial data and ensure data quality. Demand Forecasting: Employ a robust mix of machine learning, deep learning, and statistical models to customize demand projections for specific customer requirements. Use data classification techniques to refine financial models and forecasts. Predictive Analytics & Automation: Build predictive models to optimize CRM workflows, task management, and resource allocation. Automate data pipeline processes and create scalable solutions for data integration and analysis. Data-Driven Business Insights: Collaborate with cross-functional teams to derive actionable insights from large datasets. Develop dashboards and reporting tools to support decision-making. Stakeholder Engagement: Engage with key stakeholders to understand requirements and present data-driven solutions. Mentor junior data scientists and manage project timelines to ensure the delivery of high-quality AI products. Role Specific Requirements Qualification Proven experience in AI/ML model development, with a focus on generative AI, NLP, and big data processing. Experience in a fintech environment or working on financial products is a plus. Leadership experience, managing a team of data scientists or developers. Bachelors or Masters in data science, Computer Science, Statistics, or a related field. Technical Skills: Programming & Libraries: Python, R, SQL, TensorFlow, PyTorch, Hugging Face, Langchain, SpaCy, PySpark. Cloud Platforms: AWS (including AWS EMR), Azure, and experience with cloud-native solutions for model deployment. Model Optimization: Techniques for hyperparameter tuning, model validation, and performance monitoring. OCR Technologies: Google OCR, Tesseract, and other image-to-text conversion tools. Big Data: Hadoop, Spark, data processing on distributed systems. CI/CD & MLOps: Setting up pipelines for automated model deployment and monitoring. Other Skills: Strong analytical and problem-solving abilities. Excellent communication skills for effective stakeholder management. Project management skills, with the ability to drive efficiency and meet deadlines. Data classification and demand forecasting expertise. Others Be aware of GLOBAL FPO information security, business continuity, quality and other ISO or equivalent policies/ industry standards and discharge duties against them as appropriate. Identify risks related to process and information security and treat/ mitigate the same as appropriate.

JOB DESCRIPTION: LLM & NLP Expertise: Experience with Hugging Face Transformers and similar libraries. Strong understanding of Transformer architectures (BERT, GPT, T5, LLaMA). Hands-on experience with fine-tuning and prompt engineering. Proficiency in tokenization techniques Machine Learning & Deep Learning: Solid background in ML and Deep Learning. Strong Python programming skills. Solid background in PyTorch or TensorFlow.

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in Join the V Team Life. Responsible for driving support in designing and implementing processes and layouts for small to medium-scale data sets used for modeling, data mining, and research purposes. Designs and builds large and complex data sets from spurious sources while thinking strategically about uses of data and how data use interacts with data design. Works with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions. Uses professional concepts and company policies and procedures to solve a wide range of difficult problems in creative and practical ways. * Work with the business clients to discuss small to mid-scale solution requests and begin determining data requirements and statistical methodologies. * Drives support in the design and implementation processes and layouts for complex, small to mid-scale data sets used for modeling, data mining, and research purposes. * Design and build small to mid-scale data sets, thinking about uses of data and how it interacts with the design. * Drives support to develop components of statistical models or end-to-end small to mid- scale models, participating in various pieces of the process including data processing, analysis framework, custom complex visualization tools, and web applications. * Design and implement small to mid-scale statistical data quality procedures around new data sources. * Design and implement data validation and updating procedures for teams to utilize. * Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization. One of the objectives is to support the Fraud Detection and Digital Transformation initiatives in Advanced Analytics by empowering the business through the use of advanced analytics, enhance decision making and allow for insight driven collaboration. CFO Analytics team is looking for a talented and hands on data and analytics driven individual to join the team and contribute to the team's success. As a Data Scientist, you will be working on multiple advanced analytics projects and drive change among the teams by deploying the solutions and insights. You will help to envision, communicate, and facilitate deployment and execution of data and analytics work. You will collaborate with multiple Business and Finance teams across Verizon. Adhering to industry standards and best practices and understanding emerging technologies and trends to continuously improve the systems, application, infrastructure, and processes. Where you will be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. BQ/ PQs: You get excited by the possibilities that technology creates and how it can improve the way we do business. Applying your analytical skills and expertise to solve complex problems is personally rewarding. With strong written and verbal communication abilities, youre able to cut through technical jargon to describe complex concepts in a way everyone can understand. People know you for your strong leadership and the way you inspire teams to perform at their best. No stranger to working in a fast-paced environment, you convey a sense of urgency and handle multiple competing priorities with ease, never missing a deadline. Youll need to have: Bachelor's degree or six or more years of experience. Six or more years of strong experience in analytical model building and designing analytical solutions Strong communication & stakeholder management skills Participate in the design, implementation and interpretation of advanced analytics concepts and projects related to Big Data, AI and ML/DL Deep knowledge in Supervised, Unsupervised Machine learning and neural network techniques Experience in using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets. Knowledge on model deployment and monitoring Strong SQL proficiency one or many (Postgres, Oracle, SQL Server, Teradata) Even better if you have one or more of the following: Knowledge on fraud detection Knowledge on Reinforcement Learning If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll be workingIn this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.Scheduled Weekly Hours40Diversity and Inclusion Were proud to be an equal opportunity employer. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our page to learn more.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm XR Research India is rapidly expanding to offer state of the art and futuristic XR solutions that would shape the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. At XR ML systems team, we are interested in optimally splitting the XR workloads across different compute devices to further nurture the Qualcomm devices ecosystem. We prefer candidates with a strong academic background in AI/ML/DL areas with a significant industrial experience in understanding and analyzing AI workflows, optimizing, integrating and packaging these algorithms on real-world AI products on embedded platforms. Responsibilities: As a dependable Individual Contributor in this role, you will be holding the following responsibilities. Quickly comprehending SOTA AI algorithms implementing on Linux PC, migrating to Qualcomm HW, Profiling and Optimizing those algorithms Systems thinking for dissecting any XR use-case to a set of AI/ML/DL algorithms and quickly building prototypes which are both accurate and efficient in Python and/or C++. System level analysis of CV/AI/ML usecases and workloads and mapping algo blocks to HW accelerators like HTP, GPU and NSP Quickly ramping up on Qualcomm ML tools like SNPE, QNN SDK and AIMET and using these tools to analyze and improve the performance of external and home-grown ML/DL algorithms on Qualcomm devices. Strong Ownership on delivering high quality results and meeting project timelines by proactively unblocking constraints by interacting with key stakeholders in SW, Algorithms and Tooling teams. Periodically communicating the progress to key-stake holders through oral and written methods, seek feedback and instrument solutions to address the gaps. Minimum Qualifications: 4+ years of hands-on experience with developing, optimizing and deploying ML models on embedded platforms, with a Masters degree in electrical engineering, information systems, computer science, or related field. Very good proficiency in transformer-based DL algorithms Very good proficiency in programming languages that include Python, C and C++. Very good proficiency and hands on experience in State-of-the-art DL frameworks like PyTorch, ONNX and Tensorflow and opensource libraries. Strong communication skills and inter-personal skills to work effectively in a team. Preferred Qualifications: Profiling of ML models on different target platforms, locating bottlenecks and suggesting workarounds Hands-on experience with DNN optimization techniques like Quantization, Pruning and Network Arch Search System level analysis of CV/AI/ML usecases and workloads, locating bottlenecks and optimizing for performance. Optimal task-partitioning of CV/Ai/ML workloads across multiple compute devices for the best power-perf-accuracy tradeoffs Systematically estimating power-perf-accuracy of AI algorithms on futuristic SOCs/ HW accelerators through compute, memory and bandwidth constraints is a huge plus Hands on experience with Qualcomm tools like AIMET, QNN SDK and SNPE is a huge plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. 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 :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from 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: 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Level of Responsibility: Works independently with minimal supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. 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 :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from 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 > Software Test Engineering General Summary: As a Staff Engineer for ML Test and Automation Staff Engineer, highly skilled and knowledgeable in Testing ML/DL models to benchmark Qualcomm AI Accelerator. Being upto to date on the State of Art market trends and proactively working for understanding the customer needs to identify the right sets of tools/metrics to achieve the best quality and customer experience. Basic Qualifications: o Masters or Bachelor"™s degree in Computer science , Machine learning/AI or related field experience o 11 + years relevant work experience o Strong knowledge in ML/DL/LLMs in Test o Strong in Python programming and good problem solving skills Preferred Qualifications: o Excellent programming skills in one or more programming languages (Python, Bash) o Ability to define and recommend System test methodologies , metrics to benchmark Qualcomm AI Accelerator o Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs o Good work experience with AI frameworks models performance, quantization, and accuracy metrics o Hands-on experience in API testing & developing automation scripts for Embedded/IOT Platforms Responsibilities: o Performance and Accuracy benchmarking of Deep Learning models (LLM,OD, CV, NLP, Transformers etc.) o Understanding how all elements of the ML software ecosystem work together and developing QA approaches/frameworks that fit the overall strategy. o Providing System test recommendations for AI Inference Accelerator Cards o Responsible for development of validation strategies and creation of appropriate ML test harnesses for AI Inference Accelerator Cards o Experience in bringing up embedded platforms for customers and internal engg releases. o Strong debugging and analysis skills, for root causing complex issues o Providing test infrastructure to enable engineering teams to test and deliver functional/performance metrics for language models. o Ensure ML features are planned, validated, and automated as per release and customer requirements. Strong hands-on automation skills to enable onboarding of automated features into the test framework. Minimum Qualifications: "¢ Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Test Engineering or related work experience. "¢ 2+ year of work experience with Software Test or System Test, developing and automating test plans, and/or tools (e.g., Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools).

Role & responsibilities Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow). Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models. Strong experience in NLP, fine-tuning transformer models, and dataset preparation. Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI). Experience in containerization (Docker, Kubernetes) and CI/CD pipeline. Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning). Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection. Preferred candidate profile Design and implement end-to-end ML pipelines from data ingestion to production. Develop, fine-tune, and optimize ML models, ensuring high performance and scalability. Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc.). Automate model retraining, monitoring, and drift detection. Collaborate with engineering teams for seamless ML integration. Mentor junior team members and enforce best practices.

Skill :Python, Flask, ML/DL modeling, Agile Scrum, Project management Exp :5.5 to 9 Years. Location :chennai/ hyderabad/ bangalore/ coimbatore/ Pune NP :0 to 90 days.

Mandatory We are looking for a good Python Developer with Machine learning and deep learning framework. Strong Backend Python developer Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Choose suitable DL algorithms, software, hardware and suggest integration methods. Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Good to have: Azure Cloud and deployment knowledge Lang chain and Gen AI PostgreSQL DB Banking exposure