129 Data Preprocessing Jobs - Page 3

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

The Lead Data Scientist position within the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team offers a unique opportunity to be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. As a key member of the team, you will be responsible for leveraging advanced analytics, AI, and Machine learning technologies, including Large Language Models (LLMs), to transform how compliance, conduct, and operational risks are managed across the organization. Your primary responsibilities will include designing, deploying, and managing AI/ML models using advanced techniques such as LLMs and Agentic AI for developing compliance and risk management solutions. You will collaborate with cross-functional teams to identify requirements, conduct research on AI techniques, and effectively communicate technical concepts to both technical and non-technical stakeholders. Additionally, you will play a crucial role in analyzing and interpreting data to evaluate model performance and identify areas for improvement. To excel in this role, you are required to have a Master's degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from a top-tier university. You should have at least 12+ years of experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Proficiency in programming languages like Python, experience with frameworks like PyTorch or TensorFlow, and a solid understanding of machine learning concepts, including transformers and language modeling, are essential. Strong problem-solving skills, excellent communication abilities, and familiarity with data structures and algorithms for effective problem-solving in machine learning workflows are also required for this role. Join our CCOR Data Science team and be part of a leading analytics community where you will have opportunities for skill development and career growth in AI, machine learning, and data science.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. Your primary responsibility in this role is to effectively manage and analyze large volumes of data, aiming to extract valuable insights. You should possess exceptional analytical skills and the ability to manipulate and interpret complex datasets using various technologies, including programming languages. Additionally, you should be able to build strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. Key Requirements: - **Data Analysis:** Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. - **Data Validation, Cleaning and Preprocessing:** Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity. - **Data Visualization:** Present findings clearly through charts, graphs, and visualizations. Enable users to understand and interpret data effectively through visual representations. - **Ad-hoc Data Analysis:** Conduct ad-hoc data analysis to provide actionable recommendations. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. - **Collaboration:** Work closely with cross-functional teams, including business analysts, data engineers, and data scientists. Understand their requirements and provide data-driven solutions, fostering effective teamwork and communication. - **Storytelling:** Generate insights from data and communicate them to key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on processes, products, or business. - **Documentation:** Develop and maintain documentation related to data analysis processes. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. - **Continuous Improvement:** Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, aligning with industry best practices. Essential Requirements: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms. - Proficiency in programming languages (e.g., Python) and strong SQL with an aptitude for learning other analytics tools. - Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. - Effective communication skills to present findings to both technical and non-technical stakeholders. Desirable Requirements: - 5+ years of extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage. - Bachelor's or Master's degree in a relevant field such as mathematics, statistics, economics, or computer science. - Strong written and verbal communication skills. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

As an AI/ML Mentor at Engineer Sahab Education in Indore, you will play a crucial role in guiding and mentoring students to help them establish a solid understanding of Artificial Intelligence and Machine Learning. Your responsibilities will include conducting engaging sessions on various AI/ML concepts, assisting students in developing capstone projects, offering personalized mentorship, staying updated with the latest trends, and collaborating with the academic team to enhance learning outcomes. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field, along with 1-3 years of experience in AI/ML development or teaching. Proficiency in Python and machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, and NumPy is essential. Strong communication skills, a passion for mentoring, and experience in building and deploying ML models will be advantageous. At Engineer Sahab Education, you will work in a collaborative and student-centric environment, impacting the careers of future tech professionals. You will have access to continuous learning resources and upskilling opportunities, along with a competitive salary and room for growth. If you are enthusiastic about AI/ML and enjoy sharing knowledge, we encourage you to apply and be a part of our mission to shape the next generation of AI/ML professionals.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. Bring in the latest advancements in ML and AI to drive innovation . Required Skills : 4-5 years of hands-on experience in Machine Learning and Deep Learning . Strong expertise in feature engineering , data exploration , and data preprocessing . Experience with imbalanced datasets and techniques to improve model generalization . Proficiency in Python , TensorFlow , Scikit-learn , and other ML frameworks . Strong mathematical and statistical knowledge with problem-solving skills. Ability to optimize models for high accuracy and performance in real-world scenarios . Preferred Skills : Experience with Big Data technologies (e.g., Hadoop , Spark ). Familiarity with containerization and orchestration tools (e.g., Docker , Kubernetes ). Experience in automating ML pipelines with MLOps practices . Experience in model deployment using cloud platforms ( AWS , GCP , Azure ) or MLOps tools .

As an AI/ML Lead specializing in Facial Recognition & Video Intelligence at Live Eye Surveillance, your primary responsibility will be to drive the development of advanced features for our AI-powered Video Management Software (VMS) platform. You will play a crucial role in leading the research, creation, and optimization of AI models that enhance real-time monitoring and security operations using IP camera feeds. Additionally, you will oversee a team of AI/ML engineers, collaborating with cross-functional teams to ensure the seamless integration of cutting-edge AI modules into our surveillance technology. Your contributions will directly impact the efficiency, accuracy, and scalability of our security solutions across various business environments. To excel in this role, you should possess at least 3 years of practical experience in Machine Learning and Deep Learning, with a focus on Computer Vision. Proficiency in Python, TensorFlow/PyTorch, OpenCV, and other relevant deep learning libraries is essential for creating robust models for facial recognition and object detection. Your expertise in optimizing AI pipelines for real-time performance and compatibility with edge devices will be critical for ensuring the effectiveness of our surveillance systems. Furthermore, your ability to lead, mentor, and inspire a team of AI/ML engineers, combined with strong communication and problem-solving skills, will be key assets in driving the success of our AI initiatives. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience with optimization tools such as ONNX, TensorRT, and familiarity with integrating AI models with IP camera feeds using RTSP/ONVIF protocols will be advantageous. Keeping abreast of the latest advancements in deep learning and computer vision research is essential to stay ahead in this rapidly evolving field. Additionally, any background in surveillance systems, familiarity with cloud platforms like AWS, Azure, or GCP, and experience with deploying ML models using Docker, Git, and CI/CD pipelines would be beneficial. Joining Live Eye Surveillance offers a unique opportunity to lead in a dynamic environment and contribute to the development of innovative security technologies. You will have the chance to work on groundbreaking projects, collaborate with talented teams, and make a tangible impact on global security deployments. At Live Eye, we offer a competitive compensation package, a flexible hybrid work setup, and the potential for rapid career growth. If you are passionate about leveraging AI and ML to enhance security solutions, we invite you to send your resume to careers@myliveeye.com and explore the exciting opportunities available at www.myliveeye.com.,

As a seasoned Data Analyst with over 10 years of experience, you will play a crucial role in the development and implementation of data analytics strategies, frameworks, and methodologies that are in line with the goals and objectives of the organization. Your primary responsibility will be to drive the identification and exploration of data-driven opportunities to optimize business performance, enhance operational efficiency, and achieve strategic objectives. You will collaborate closely with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Additionally, you will design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Your expertise in data analysis, statistical modeling, and machine learning techniques will be instrumental in addressing complex business problems and supporting strategic decision-making. Furthermore, you will be tasked with developing and maintaining data governance frameworks, data quality standards, and data management practices to ensure the accuracy, integrity, and consistency of data assets. In this role, you will lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. It will be essential for you to stay updated with emerging trends, technologies, and best practices in data analytics and provide recommendations for their adoption to enhance analytical capabilities. Mentoring and coaching junior analysts to foster their professional growth and supporting their development of advanced analytical skills will also be part of your responsibilities. You will collaborate closely with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Presenting complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner will be crucial. Moreover, you will play a key role in fostering a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Requirements: - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred. - 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. - Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. - Expert proficiency in SQL for data extraction, manipulation, and analysis. - Advanced programming skills in Python/R for statistical analysis, predictive modeling, and machine learning. - In-depth knowledge of statistical analysis techniques, predictive modeling, and advanced machine learning algorithms. - Strong experience with data visualization tools such as Tableau, Power BI, or similar. - Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. - Solid understanding of database structures, data warehousing concepts, and data governance principles. - Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. - Excellent leadership, strategic thinking, and stakeholder management abilities. - Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. - Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications: - Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of big data technologies such as Hadoop, Spark, or similar. - Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. - Experience in leading and managing cross-functional teams.,

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you will solve business problems and uncover actionable insights. Your hands-on experience in building and deploying machine learning models will be crucial in building, validating, and tuning machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Collaborating with stakeholders, you will translate business questions into data science problems and communicate findings in a clear, actionable manner. You will use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Documenting data science workflows and maintaining the reproducibility of experiments and models will ensure the success of analytics projects. Additionally, you will support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics Specialty are preferred or in progress to enhance your expertise in the field.,

NTT DATA is currently looking for a Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India (IN). As a Data Science & AIML, GenAI Lead/Engineer, your responsibilities will include conducting data analysis using Python, developing AI models leveraging Langchain, LlamaIndex, and Azure OpenAI Services, and utilizing Generative AI models and Natural Language Processing techniques. You will also be responsible for implementing Retrieval-Augmented Generation (RAG) solutions, applying machine learning algorithms, data pre-processing, and managing the AI lifecycle (model training, validation, monitoring). The ideal candidate should have a minimum of 2 years of experience with AI Python development and a Bachelors degree in computer science, Information Technology, or a related field. Strong analytical skills, attention to detail, and the ability to work independently or as part of a team are essential for this role. NTT DATA, a $30 billion trusted global innovator of business and technology services, is committed to helping clients innovate, optimize, and transform for long term success. With a diverse team of experts in more than 50 countries and a robust partner ecosystem, NTT DATA offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. As one of the leading providers of digital and AI infrastructure globally, NTT DATA is part of the NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As a GenAI Data Scientist at PwC US - Acceleration Center, you will be responsible for developing and implementing machine learning models and algorithms for GenAI projects. Your role will involve collaborating with product, engineering, and domain experts to identify high-impact opportunities, designing and building GenAI and Agentic AI solutions, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings via various mediums, and staying updated with GenAI advancements. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 1-2 years of hands-on experience delivering GenAI solutions and 3-5 years of deploying machine learning solutions in production environments. Proficiency in Python, experience with vector stores and search technologies, familiarity with LLM-backed agent frameworks, expertise in data preprocessing and feature engineering, competence with cloud services, solid grasp of Git workflows and CI/CD pipelines, and proficiency in data visualization are essential requirements. Additionally, having relevant certifications in GenAI tools, hands-on experience with leading agent orchestration platforms, expertise in chatbot design, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages like Java, C++, or C# are considered as nice-to-have skills. The ideal candidate should possess strong problem-solving skills, a collaborative mindset, and the ability to thrive in a fast-paced environment. If you are passionate about leveraging data to drive insights and make informed business decisions, this role offers an exciting opportunity to contribute to cutting-edge GenAI projects and drive innovation in the field of data science.,

As the Manager Tax Technology at EisnerAmper, you will play a pivotal role in integrating your expertise in Partnership Tax with technical proficiency. Through your involvement in testing and validating proprietary applications, you will ensure that business and functional requirements are met effectively. Additionally, you will collaborate with various teams to enhance the firm's tax process standardization and leverage tax technology tools across service lines. Your responsibilities will include evaluating current processes, implementing transformative solutions, and driving innovation in tax technology. Working at EisnerAmper offers a unique opportunity to be part of a dynamic and rapidly growing accounting and advisory firm. You will have the autonomy to manage your schedule in alignment with the firm's commitment to work-life balance. Embracing diversity and inclusion, EisnerAmper fosters a culture where different perspectives converge to create innovative solutions. As a Manager Tax Technology, you will lead projects that combine your tax expertise with a keen interest in technology to redefine work methodologies and implement cutting-edge solutions. Key Responsibilities: - Reviewing complex 1065 tax returns for various fund structures - Testing and validating applications to ensure compliance with business requirements - Evaluating and improving tax technology and processes - Collaborating with IT department to implement technology solutions - Acting as a liaison between Tax and IT departments to streamline processes - Documenting workflows and facilitating process improvements - Developing business cases, identifying stakeholders, and leading presentations - Providing training on new technology and processes Basic Qualifications: - Bachelor's degree in Accounting, Business Administration, or related field - 5+ years of experience in U.S. Partnership tax compliance - Proficiency in tax software tools such as Thomson Reuters Go-Systems, CCH Axcess, OneSource - Experience in project ownership and driving outcomes - Proficient in Excel and documenting processes using tools like Visio, Alteryx Preferred Qualifications: - Exposure to Microsoft Power BI suite and database development - Knowledge of Power Query, Tableau, Alteryx, Excel, VBA, SSIS, SQL - Experience in application integration techniques and SharePoint development Join EisnerAmper to be part of a global team dedicated to providing exceptional accounting, tax, and business advisory services. With a focus on responsiveness and long-term value creation, EisnerAmper empowers clients to navigate current challenges and thrive in the future. If you are passionate about leveraging tax expertise and technology to drive transformative change, we invite you to explore this exciting opportunity as a Manager Tax Technology at EisnerAmper India.,

As a Senior AI Engineer (Tech Lead) at EY, you will have the opportunity to leverage your technical expertise to develop and implement cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, including NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a crucial role in driving innovation and creating impactful solutions for enterprise industry use cases. Your responsibilities will include contributing to the design and implementation of state-of-the-art AI solutions, leading a team of 4-6 developers, and collaborating with stakeholders to identify business opportunities and define AI project goals. You will stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. By utilizing generative AI techniques, such as LLMs and Agentic Framework, you will develop innovative solutions tailored to specific business requirements. Your role will also involve integrating with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to enhance generative AI capabilities. Additionally, you will be responsible for implementing and optimizing end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Your expertise in data engineering, DevOps, and MLOps practices will be valuable in curating, cleaning, and preprocessing large-scale datasets for generative AI applications. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and demonstrate proficiency in Python, Data Science, Machine Learning, OCR, and document intelligence. Strong collaboration with software engineering and operations teams, along with excellent problem-solving and analytical skills, will be essential in translating business requirements into technical solutions. Moreover, your familiarity with trusted AI practices, data privacy, security, and ethical considerations will ensure the fairness, transparency, and accountability of AI models and systems. Additionally, having a solid understanding of NLP techniques, frameworks like TensorFlow or PyTorch, and cloud platforms such as Azure, AWS, or GCP will be beneficial in deploying AI solutions in a cloud environment. Proficiency in designing or interacting with agent-based AI architectures, implementing optimization tools and techniques, and driving DevOps and MLOps practices will also be advantageous in enhancing the performance and efficiency of AI models. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all through the power of AI and technology.,

You are an experienced Lead Model Developer/Validator with a strong background in credit risk modeling, particularly focusing on Internal Credit Risk Rating modeling. Your main responsibility will involve leading the development and validation of advanced credit risk models, including PD, EAD, LGD, with a special emphasis on Expert judgment-based PD models for Corporate, Specialized Lending, and Financial Institutions. Your role will require you to conduct thorough data preparation and preprocessing using tools such as SAS, Python, R, and SQL. You will collaborate with various stakeholders to analyze, interpret, and communicate complex model results and insights. Additionally, you will be responsible for creating technical documentation including regulatory compliance model documentation, test plans, validation reports, findings report, and business requirements documents where applicable. Continuous improvement of models will be a key aspect of your job, involving identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. Moreover, you will be expected to provide mentorship and technical guidance to junior team members, promoting a culture of knowledge sharing and professional development. To qualify for this position, you should have 5-10 years of hands-on experience in credit risk model development and validation, proven expertise in modeling across retail and wholesale credit portfolios, and advanced proficiency in SAS, Python, R, and SQL. A deep understanding of IFRS9 and CECL regulatory frameworks and guidance, exceptional analytical and problem-solving skills, as well as excellent written and verbal communication abilities are essential. Preferred qualifications include an advanced degree in Statistics, Mathematics, Economics, or a related field, professional certifications in risk management or financial modeling, experience with IRB modeling, machine learning/advanced statistical modeling techniques, and knowledge of Basel regulatory guidance. Your technical skills should encompass model development (PD, LGD, EAD, Qualitative PD Models), programming (SAS, Python, R, SQL), regulatory knowledge (IRB, IFRS9, CECL), statistical modeling, data preprocessing, and machine learning techniques. If you meet these qualifications and are looking for a challenging opportunity to leverage your expertise in credit risk modeling, this role offers a platform to lead and drive sophisticated credit risk modeling initiatives across various portfolios.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,

As a participant in the 4 to 6-month paid internship at Mason Interactive starting in Fall 2025, you will have the opportunity to lead a groundbreaking ML/AI integration project aimed at revolutionizing the utilization of marketing data. Your role will involve developing predictive models, creating automated insights, and implementing AI-driven optimization strategies based on authentic client datasets. Your responsibilities will include building ML models to forecast campaign performance, optimizing marketing strategies, constructing automated data pipelines that merge various marketing data sources, designing interactive dashboards to visually represent ML insights for stakeholders, researching state-of-the-art AI methods to address marketing challenges, and collaborating across different functions to recognize ML applications in marketing workflows. To excel in this role, you should possess a strong foundation in ML, including supervised and unsupervised learning, neural networks, and NLP. Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, and PyTorch are essential. Moreover, experience in data preprocessing, feature engineering, SQL, database management, and data visualization tools like Tableau, Power BI, and Looker Studio will be advantageous. In addition to technical skills, a grasp of marketing metrics such as ROI, CPA, ROAS, and CPM is required. You should be able to translate ML insights into actionable marketing recommendations effectively. Soft skills are equally crucial for this role. Excellent communication skills with non-technical stakeholders, self-motivation coupled with strong project management abilities, and a problem-solving mindset to tackle data integration challenges are highly valued. Ideal candidates for this position are rising seniors or recent graduates in Computer Science, Data Science, ML, Statistics, or related fields. A portfolio showcasing ML applications to business problems is preferred. You must be available for a Fall 2025 start, commit to a period of 4 to 6 months, and be willing to work a minimum of part-time. By joining Mason Interactive, you will be part of a competitive paid internship program that offers real compensation. You will lead a transformative project at the convergence of marketing and AI, with the opportunity to make a real-world impact on client business outcomes. Working alongside marketing experts and data scientists, you will have a chance to build an exceptional portfolio and contribute to shaping the future of data-driven marketing. If you are ready to revolutionize marketing analytics with AI, this internship opportunity at Mason Interactive awaits your innovative contributions.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

You are an experienced data scientist with 11-12 years of experience in the field. You possess expert knowledge of statistics and probability theory along with proficiency in at least one programming language such as Python, R, or SQL. Your experience includes working with reinforcement learning and GenAI, as well as an expert understanding of machine learning algorithms and models. You have advanced knowledge of data cleaning and preprocessing techniques and are skilled in data analysis and interpretation. Your strong communication and presentation skills enable you to effectively convey complex technical concepts to various stakeholders. In addition, you have experience in leading and managing teams, making you a valuable asset in collaborative environments. Your preferred domain is telecom, where you have demonstrated your expertise in applying data science techniques to solve industry-specific challenges. Your primary skillset lies in data science, with additional skills in Python and data science, making you a well-rounded professional in the field.,

You will be joining as a Manager Tax Technology in Mumbai. In this role, you will play a crucial part as a solution tester and integrator, utilizing your expertise in Partnership Tax along with technical skills. Your responsibilities will involve driving and improving the overall firm-wide strategy related to tax process standardization and efficient utilization of tax technology tools to support the tax practice across different service lines. Collaboration with the firm's tax, information technology, and transformation team leadership and employees will be essential to identify future tax technology requirements, including areas for process enhancements, automation, efficiency improvements, and the application of best practices in tax processes and technology. This role is of high visibility and impact within the firm, where you will engage in various projects leveraging your tax knowledge in the financial services, corporate, or individual sector, combined with your technology acumen to innovate our work methods and contribute to cutting-edge technology development. Your primary responsibilities will include: - Proactively evaluating current tax technology and processes to implement transformative solutions that standardize, streamline, centralize, automate, track, and analyze business operations. - Collaborating with the information technology department to prototype, develop, enhance, and implement technology solutions and best practices. - Acting as a bridge between the Tax and Information Technology departments to enhance the understanding of tax department's process improvement/information technology needs, objectives, and challenges. - Translating conceptual user requirements into functional requirements clearly to the enterprise information technology team. - Documenting process workflows, both current and future state. - Creating business cases, identifying key stakeholders, and leading presentations with leadership. - Converting a goal/vision into a timeline with deliverables: Managing relationships to monitor workstream(s) progress, ensuring timely reporting of milestones and dependency status, monitoring risks and issues to escalate to leadership, and executing day-to-day project management activities throughout the transformation lifecycle of initiate, plan, and execute. - Developing and conducting training on new technology and processes. Basic qualifications for this role: - Bachelor's degree in Accounting, Business Administration, Business Management, Computer Science, or related field (MBA preferred). - Minimum of 5 years of experience (4 years in Technology space and 1-2 years in compliance within the 5 years period). - 4+ years of tax technology/transformation experience (financial services and/or real estate) with a public accounting firm or large global corporation. - 2+ years of tax compliance experience in the corporate, financial services, or individual/private wealth advisory industry. - Proficiency in tax software tools such as Thomson Reuters Go-Systems, CCH Axcess, and OneSource. - Experience in collaborating with software developers to communicate business requirements. - Demonstrated ownership of projects and ability to drive outcomes from inception to full business value. - Experience in gathering business requirements for technology implementations/process improvements. - Proficiency in documenting end-to-end processes using tools like Visio and Alteryx. - Advanced experience with Excel is a must. Additionally, exposure to Microsoft Power BI suite, development of databases, Bots, RPA, and experience in developing ETL solutions will be beneficial. Knowledge or proficiency in tools such as Power Query, Power BI/Tableau, Alteryx, Excel, data modeling, dashboarding, data pre-processing, application integration techniques, SharePoint development, VBA, SSIS, and SQL will be an advantage.,

You will be joining a renowned global digital engineering firm, Srijan, a Material company, as a Senior Developer/ Lead specialized in Data Science. Your role will involve working on Generative AI models such as Azure OpenAI GPT and Multi-Agent System Architecture. You should be proficient in Python and AI/ML libraries like TensorFlow, PyTorch, Scikit-learn. Experience with frameworks like LangChain, AutoGen for multi-agent systems, and strong knowledge of Data Science techniques including data preprocessing, feature engineering, and model evaluation are essential. It is preferred that you have at least 4+ years of experience in a similar role. The job location can be either Gurgaon or Bangalore. Familiarity with Big Data tools such as Spark, Hadoop, Databricks, and databases like SQL, NoSQL will be beneficial. Additionally, expertise in ReactJS for building responsive and interactive user interfaces is a plus. In this role, you can expect professional development and mentorship, a hybrid work mode with a remote-friendly workplace, health and family insurance, 40+ leaves per year including maternity and paternity leaves, as well as access to wellness, meditation, and counseling sessions.,

As a Gen AI Engineer at StatusNeo, you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms. Key Responsibilities: - AI Model Development: Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases. - Prompt Engineering: Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs. - Cloud Expertise: Deploy and manage AI models on cloud platforms (e.g., AWS, Azure, GCP) ensuring scalability, security, and cost-efficiency. - Data Management: Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering. - Model Evaluation & Tuning: Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency. - Innovation: Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process. - Collaboration: Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services. - Documentation: Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and reproducibility. Qualifications: - Education: Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Experience: Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models. Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML workloads. Strong background in Prompt Engineering and AI model optimization techniques. - Technical Skills: Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience with NLP, machine learning algorithms, and data preprocessing. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Familiarity with MLOps practices and tools for continuous integration and deployment. - Soft Skills: Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies.,

As a Senior AI/ML Engineer, you will be responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures such as GPT, BERT, T5, and other deep learning models utilized for text, image, or multimodal generation. You will work with extensive and complex datasets by cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Additionally, you will collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs. Your role will involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. You will also be responsible for developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. It is essential to stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Furthermore, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders with an emphasis on explainability and responsible AI practices. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI would be advantageous. You should have 12-16 years of experience in machine learning, with at least 8 years in designing and implementing generative AI models or working specifically with transformer-based models. The ideal candidate will possess expertise in generative AI, transformer models, GANs, VAEs, text generation, and image generation. Strong knowledge of machine learning algorithms, deep learning, neural networks, and programming skills in Python and SQL are required. Familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow, and experience with MLOps tools like Docker, Kubernetes, MLflow, and Cloud Platforms (AWS, GCP, Azure) is essential. Additionally, proficiency in data engineering concepts such as data preprocessing, feature engineering, and data cleaning is preferred. Joining our team will provide you with an opportunity to work on technical challenges with global impact, vast opportunities for self-development through online university access and sponsored certifications, sponsored Tech Talks & Hackathons, and a generous benefits package including health insurance, retirement benefits, flexible work hours, and more. You will work in a supportive environment with forums to explore passions beyond work, offering an exciting opportunity to contribute to cutting-edge solutions while advancing your career in a dynamic and collaborative setting.,

As an AI/ML Intern at SproutsAI, you will be part of a dynamic team focused on developing intelligent autonomous agents. SproutsAI, a leader in the AI, Machine Learning, and SaaS industries, is dedicated to delivering cutting-edge technology to empower businesses with AI solutions. In this role, you will have the opportunity to work on innovative projects, collaborating with experienced data scientists and engineers to gain hands-on experience in the AI/ML lifecycle. Your responsibilities will include assisting senior data scientists in designing and implementing machine learning models, preparing and cleaning datasets, evaluating machine learning algorithms, and maintaining project documentation. You will actively participate in project meetings, present findings, and contribute to technical problem-solving. Additionally, you will play a key role in improving the autonomous agent platform by suggesting innovative solutions and enhancements. To qualify for this role, you should be currently pursuing a Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field, with a preference for a Master's degree. You should have a minimum of 2 years of relevant AI/ML experience, preferably in an enterprise setting, and possess strong analytical, problem-solving, and communication skills. Proficiency in Python programming, knowledge of statistical learning principles, experience with PyTorch or similar deep learning frameworks, and familiarity with data preprocessing and cleaning techniques are essential skills required for this role. In addition to a challenging and rewarding work environment, SproutsAI offers a comprehensive benefits package, including medical, dental, and vision insurance, life and disability insurance, a 401(k) retirement plan, paid time off, parental leave, and remote or hybrid work options. You will also have opportunities for career advancement, training, and certifications, along with a competitive compensation package. Join SproutsAI in Sunnyvale, California, and be part of a company culture that values innovation, collaboration, professional development, work-life balance, and ethical AI practices. Grow your skills and contribute to the future of AI with SproutsAI.,