192 Data Preprocessing Jobs - Page 6

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.,

As you grow with us at Intellinet Systems, you will be part of a collaborative environment that fosters innovation, creativity, and community engagement. With a minimum of 8 years of experience and a graduate degree, we offer 5 vacancies at our Gurgaon, Haryana office with a Work From Office (WFO) policy. Your responsibilities will include designing and developing AI models and algorithms to address complex business challenges. You will apply machine learning and deep learning techniques to analyze large datasets, collaborating with cross-functional teams to align AI solutions with business requirements. Data preprocessing and cleaning are crucial to ensure model accuracy, followed by training and optimizing AI models using various algorithms and frameworks. Monitoring model performance, staying updated on AI advancements, providing technical guidance to junior team members, and documenting project progress are key aspects of this role. Additionally, identifying new AI opportunities and proposing innovative solutions will be part of your regular tasks. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field, along with 2-3 years of industry experience in developing AI solutions. Proficiency in Python programming and relevant libraries such as TensorFlow, PyTorch, or scikit-learn is essential. A deep understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience working with large datasets are required. Knowledge of data visualization, cloud platforms for AI deployment (e.g., AWS, Azure, Google Cloud), software development practices, and version control systems is advantageous. Problem-solving skills, creativity, effective communication, and teamwork abilities are highly valued in this role. If you meet these requirements and are excited to contribute to cutting-edge AI solutions, please send your updated CV to hr@intellinetsystem.com with the job code in the subject line.,

Job Description: As a Data Scientist, you will collaborate with cross-functional teams to identify business problems and opportunities where data can be leveraged to drive insights and impact. Your responsibilities will include developing and implementing statistical and machine learning models to extract insights from data. You will conduct exploratory data analysis to uncover patterns, trends, and anomalies, as well as develop algorithms and tools to preprocess, clean, and transform large datasets. Additionally, you will be responsible for developing predictive models and machine learning algorithms to forecast trends and predict outcomes. Moreover, you will work on implementing data-driven solutions for business problems, collaborating with software engineers and data engineers to deploy and scale data models and algorithms. Your role will involve communicating findings and insights to stakeholders using data visualization tools and techniques. It is essential to continuously learn and stay up to date with the latest trends, technologies, and frameworks in data science and machine learning. Basic Qualifications: - Bachelors or masters degree in computer science, Statistics, Mathematics, or a related field - 1-4 years of experience in data science or a related field - Strong knowledge of statistical and machine learning techniques - Proficiency in programming languages such as Python, R, or Java - Experience with data visualization tools and techniques using BI dashboards - Familiarity with SQL and relational databases - Experience with data preprocessing, cleaning, and transformation - Strong analytical and problem-solving skills - Good communication and collaboration skills Employment Type: Full-time Workplace Type: On-site Salary: Commensurate with experience and skills Experience Required: Minimum 1-4 years of experience in software development Job Location: Kolkata/Durgapur/Jaipur/Madurai,

You are a highly skilled and motivated Senior Machine Learning Engineer with over 5 years of experience in ML model development, MLOps pipelines, Python programming, and hands-on exposure to Generative AI technologies. In this role, you will play a key role in designing, developing, and deploying scalable machine learning models and production-grade AI solutions in a collaborative, fast-paced environment. Your responsibilities will include developing and implementing ML models across various domains such as predictive modeling, NLP, and computer vision. You will also be responsible for building and maintaining end-to-end MLOps pipelines for scalable model training, validation, deployment, and monitoring. Working with GenAI frameworks like LangChain, LlamaIndex, or Hugging Face Transformers for building advanced solutions will be a crucial part of your role. Collaboration with data scientists, data engineers, and DevOps teams to operationalize ML solutions is essential. You will need to write clean, efficient, and well-documented Python code for data preprocessing, feature engineering, and model building. Evaluating model performance, iterative improvements based on experimentation and business feedback, ensuring solutions meet performance, reliability, and scalability requirements, participating in code reviews, sprint planning, and design discussions are all key aspects of this role. To be successful in this position, you should have 5+ years of hands-on experience in Machine Learning and Model Development. Strong proficiency in Python and related ML libraries such as scikit-learn, PyTorch, TensorFlow, Pandas, NumPy is required. Experience with MLOps tools like MLflow, Airflow, Kubeflow, SageMaker, or similar is essential. You should have a solid understanding of Generative AI techniques and experience deploying ML models using containerization (Docker), cloud platforms (AWS/GCP/Azure), and CI/CD workflows. Familiarity with version control (Git), agile methodologies, and collaborative development environments is necessary. Excellent problem-solving, debugging, and analytical skills are crucial for this role. Strong communication and collaboration abilities, comfortable working in a hybrid and globally distributed team, are also required. Nice to have skills include experience with LLMOps and tools like Weights & Biases, VectorDBs (e.g., FAISS, Pinecone, Chroma), a background in software engineering or DevOps, exposure to front-end integration for AI applications (e.g., Streamlit, Gradio), and previous experience working in a late-shift or client-aligned shift model. The shift timings for this role are 2:00 PM to 11:00 PM IST (Hybrid Model 2-3 days onsite per week in Chennai office).,

Experience in ML, DL (Tensorflow, Keras, PyTorch), NLP, and NLU (NLTK, Spacy, Flair, etc.) Good understanding and relevant experience in ML techniques/ NLP/ Computer Vision tasks such as classification, clustering, deep learning, optimization methods, NER, dependency parsing, boundary detection, etc. Experience with Conversational AI frameworks like Rasa, Microsoft Bot etc Fluency in Python: Pandas, NumPy, SciPy, PySpark, PyTorch, Matplotlib Techniques: Regression analysis, Natural Language Processing (NLP) models, CNN DNN, Decision tree, Deep learning algorithms. Solid experience with one or more of the following programming languages: Scala, Java Experience with database technology such as MySQL, Postgres, Oracle and NoSQL databases Excellent working knowledge of Amazon Web Services (AWS) and ML services. Knowledge of AWS Sagemaker will be a plus AWS Certification will be a plus Good written and verbal communication skills Experience working with remote engineering teams

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients" needs. You will collaborate with cross-functional teams to integrate AI models into our products and services, leveraging cutting-edge technologies to drive innovation and deliver impactful results. Your responsibilities will include designing and developing AI models and algorithms to solve business problems, implementing machine learning and deep learning algorithms for various applications, collaborating with data scientists and engineers to preprocess data and build datasets for training models, integrating AI models into software applications and platforms, optimizing AI models for performance, scalability, and efficiency, conducting research to stay current with the latest advancements in AI and machine learning technologies, testing and validating AI models to ensure accuracy and reliability, deploying AI models into production environments, and monitoring their performance. Furthermore, you will collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements: - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. - Proficiency in programming languages such as Python, Java, or C++. - Hands-on experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, reinforcement learning). - Experience with data preprocessing, feature engineering, and model evaluation. - Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. - Excellent problem-solving skills and ability to work independently as well as part of a team. - Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: - Experience with natural language processing (NLP) and computer vision applications. - Familiarity with big data technologies (e.g., Hadoop, Spark) for handling large-scale datasets. - Understanding of DevOps practices and experience with CI/CD pipelines. - Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects).,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist 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. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like 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, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass 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., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,

As a Senior Developer/ Lead in Data Science at Material+, you will be responsible for leading the development and implementation of Generative AI models such as Azure OpenAI GPT and multi-agent system architecture. Your role will require a strong background in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-learn. Experience with frameworks like LangChain, AutoGen, or similar for multi-agent systems will be essential, along with expertise in data preprocessing, feature engineering, and model evaluation techniques. It is preferred that you have a minimum of 4+ years of experience in a similar role as a Senior Developer/ Lead in Data Science. The ideal candidate should be well-versed in Big Data tools such as Spark, Hadoop, Databricks, and databases like SQL and NoSQL. Familiarity with ReactJS for developing responsive and interactive user interfaces would be a bonus. Material+ is looking for an immediate joiner located in Gurgaon or Bangalore. In addition to a challenging work environment, we offer professional development opportunities, mentorship, and a hybrid work mode with a remote-friendly workplace. We are committed to the well-being of our employees and provide benefits such as health and family insurance, ample leave days including maternity and paternity leaves, as well as wellness, meditation, and counseling sessions. Join us at Material+ where you can contribute to cutting-edge projects in Data Science while enjoying a supportive and inclusive work culture.,

As a member of our team at Intellinet Systems, you will have the opportunity to grow and develop alongside a group of talented professionals. Our work environment is characterized by collaboration, community engagement, and a focus on innovation and creativity. We are currently looking for individuals with 2-5 years of experience, preferably graduates, to join us in Gurgaon, Haryana, for a Work From Office (WFO) position. In this role, your main responsibilities will include designing and developing AI models and algorithms to address complex business challenges. You will utilize machine learning and deep learning techniques to extract insights from large datasets, working closely with various teams to understand business requirements and tailor AI solutions accordingly. Data preprocessing and cleaning will be essential to ensure the accuracy and quality of training models, and you will be responsible for training and optimizing AI models using different algorithms and frameworks. As part of your duties, you will conduct experiments and statistical analyses to evaluate and enhance model performance, deploy AI models in production environments, and monitor their effectiveness. Staying abreast of the latest advancements in AI and machine learning technologies will be crucial, as you will need to provide technical guidance to junior team members, document project progress, methodologies, and results, and collaborate with stakeholders to identify new AI opportunities and propose innovative solutions. To be successful in this role, you should possess a Bachelor's or Master's degree in computer science, engineering, or a related field, along with 2-3 years of industry experience in developing AI solutions. Proficiency in Python programming and relevant libraries such as TensorFlow, PyTorch, or scikit-learn is essential, as is a solid grasp of machine learning algorithms, statistical analysis, and data preprocessing techniques. Experience with large datasets, scalable AI solutions, data visualization, cloud platforms (e.g., AWS, Azure, Google Cloud), and software development practices will be advantageous. If you are a proactive problem-solver with strong communication and teamwork skills, capable of creative thinking and effective collaboration with cross-functional teams, we encourage you to send your updated CV to hr@intellinetsystem.com with the job code in the subject line. Join us at Intellinet Systems and be a part of our exciting journey towards building groundbreaking AI solutions.,

You are an experienced Senior Quantitative Analyst specializing in credit risk modeling, especially focused on Internal Credit Risk Rating modeling. Your role involves leading the end-to-end development and validation of advanced credit risk models, with an emphasis on Expert judgement-based PD models for various sectors. You will work on data preparation and preprocessing using tools like SAS, Python, R, and SQL. Collaboration with cross-functional stakeholders is key to analyze and interpret complex model results and insights. Your responsibilities also include developing technical documentation for regulatory compliance, test plans, validation reports, and business requirements documents. Continuous model improvement is expected through optimization, implementing advanced modeling techniques, and enhancing predictive accuracy. Mentorship and technical guidance to junior team members are essential to foster knowledge sharing and professional development. Required qualifications include 5-10 years of hands-on experience in credit risk model development, expertise in modeling across retail and wholesale credit portfolios, proficiency in SAS, Python, R, SQL, deep understanding of IFRS9 and CECL regulatory frameworks, analytical skills, and excellent communication abilities. Preferred qualifications include an advanced degree in Statistics, Mathematics, Economics, or related field, professional certifications in risk management or financial modeling, experience with IRB modeling, machine learning techniques, and knowledge of Basel regulatory guidance. Technical skills required for the role 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.,

You will be involved in building a machine learning-based anomaly detection system using structured and sequential sensor data. Your main task will be to identify unusual patterns or faults through data modeling and visualization. This internship will provide you with a real-world opportunity to work on machine learning pipelines and understand both supervised and unsupervised approaches to anomaly detection. During this phase, you will focus on offline/static modeling using historical sensor data in tabular and time-series formats. Your primary objectives will include analyzing sensor datasets representing various operational scenarios, applying and evaluating supervised classification models, transitioning into unsupervised anomaly detection approaches, visualizing insights, and documenting findings for technical and non-technical audiences. Your key responsibilities will involve performing data preprocessing tasks such as cleaning, encoding, normalization, and feature engineering. Additionally, you will be required to train and evaluate classification models using Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) models for sequence-based classification. You will also explore and implement unsupervised anomaly detection techniques like Isolation Forest, One-Class SVM, and Z-score or IQR-based statistical methods. Analyzing and visualizing model outputs using confusion matrices, anomaly heatmaps, and time-series plots will also be part of your responsibilities. Optionally, you may also be tasked with building a lightweight dashboard (e.g., using Streamlit) to present findings. TechnoExcel is the leading training and consulting company in Hyderabad offering data analytics solutions.,

You are an experienced Senior Quantitative Analyst (Model Developer/Validator) with a strong background in credit risk modeling, particularly focusing on Internal Credit Risk Rating modeling. Your expertise will be crucial in leading the development and validation of sophisticated credit risk models for retail and wholesale portfolios. Your responsibilities will include developing and validating credit risk models such as PD, EAD, LGD, with a special emphasis on Expert judgement-based PD models for Corporate, Specialised Lending, and Financial Institutions. You will also be responsible for data preparation and preprocessing using tools like SAS, Python, R, and SQL. Collaborating with various stakeholders to analyze and interpret complex model results and insights will be a key aspect of your role. In addition, you will develop technical documentation for regulatory compliance, test plans, validation reports, and business requirements documents. You will drive continuous model improvement by identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance. Mentoring and providing technical guidance to junior team members will be part of your responsibilities to encourage a culture of knowledge sharing and professional development. To be successful in this role, you should have 5-10 years of hands-on experience in credit risk model development and validation, along with proven expertise in modeling across retail and wholesale credit portfolios. Advanced proficiency in SAS, Python, R, and SQL is essential, as well as a deep understanding of IFRS9 and CECL regulatory frameworks. Strong analytical and problem-solving skills, along with excellent written and verbal communication abilities, are also required. 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.,