129 Data Preprocessing Jobs - Page 2

You will be joining a dynamic team at Vitraya, where we are dedicated to revolutionizing healthcare operations in India using advanced AI technologies. As a Senior Fullstack AI/ML Engineer, your primary responsibility will be to design, develop, and implement AI and machine learning models, focusing on pattern recognition and neural networks. Your role will involve coding, software development, data analysis, and enhancing existing algorithms. Collaboration with cross-functional teams will be crucial to seamlessly integrate AI solutions into the claims settlement process. Your key responsibilities will include leading the design, development, and deployment of machine learning models across various use cases such as recommendation systems, computer vision, NLP, and predictive analytics. Working with large datasets, you will build, train, and optimize models utilizing techniques like classification, regression, clustering, and neural networks. Additionally, you will fine-tune pre-trained models and develop custom models tailored to specific business requirements. Collaborating with data engineers, you will build scalable data pipelines and ensure smooth model integration into production. Working closely with frontend/backend engineers, you will incorporate AI-driven features into products or platforms and develop proof-of-concept or production-grade AI applications with intuitive UIs. To ensure scalability and performance, you will implement model monitoring and maintenance strategies, design APIs or services exposing machine learning models, and leverage cloud platforms like AWS, GCP, or Azure for deployment and scaling of AI/ML solutions. Staying updated with the latest advancements in AI/ML research, you will apply innovative techniques to enhance existing systems and effectively communicate with stakeholders to translate business requirements into AI/ML-driven solutions. Documenting processes, methodologies, and results will also be essential for future reference and reproducibility. Join us at Vitraya for a rewarding career where your contributions will directly impact patient care quality and reduce administrative burdens on healthcare providers. You will have the opportunity to work on pioneering AI applications that bring measurable improvements to healthcare, while also experiencing professional growth in a supportive, collaborative environment. Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of our dedicated, mission-driven team. If you have 5+ years of experience in AI/ML engineering roles and a proven track record of delivering successful machine learning projects, along with strong expertise in machine learning algorithms, programming languages like Python, relevant ML libraries, data manipulation, model development, cloud platforms, and MLOps practices, we would love to hear from you. Experience with deep learning architectures, deployment strategies for AI models, building full-stack applications powered by AI, real-time model deployment environments, statistics, probability, and Agile development environments will be advantageous. Come be a part of our innovative team at Vitraya and contribute towards building transformative solutions that positively impact patient care and healthcare delivery.,

Job Summary: The incumbent will work on real-world projects, helping design, develop, and deploy AI models and data-driven solutions. You will play a crucial role in helping businesses make informed decisions by collaborating with stakeholders, designing data models, creating algorithms, and sharing meaningful insights to drive use case success. Key Responsibilities: AI Solution Development: Design, train, fine-tune, and evaluate generative models (e.g., GPT, LLaMA, Stable Diffusion, DALLE, etc.). Collaborate with cross-functional teams including product, research, and engineering to integrate GenAI capabilities into products. Develop a platform approach, optimize models for performance, latency, and cost in production environments. Model Integration: Integrate foundational models and retrieval-augmented generation (RAG) techniques. Backend Development: Implement backend services and API endpoints to support AI solutions. Frontend Integration: Develop or adapt frontend interfaces for user interaction. Mentor junior engineers and contribute to best practices in model development and deployment. Ensure ethical and responsible AI practices in model design and usage. Person Profile: Qualification: Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics / Statistics, or a related field. Experience / Must Have: 35+ years of experience in machine learning, with at least 2 years focused on generative AI. Preferably with GenAI use cases in Chemical, Pharma, or Manufacturing industries. Highly agile individuals who would like to make an impact in a global setup. Proficiency in Python for data handling and AI-related scripting. Familiarity with data pipeline development, ETL processes, and data preprocessing techniques. Knowledge of testing frameworks and tools to ensure model robustness, as well as experience with automated testing for QA processes. Familiarity with Retrieval-Augmented Generation techniques and their applications. Knowledge of prompt engineering techniques to optimize generative AI models for specific tasks and enhance output relevance. Experience in predictive modeling areas, such as traditional supervised and unsupervised learning. Basic familiarity with foundational generative AI models and Natural Language Processing (NLP).

Description We are seeking a talented NLP Engineer to join our team in India. The ideal candidate will have a solid background in Natural Language Processing and machine learning, with experience in developing innovative solutions that leverage NLP techniques. Responsibilities Develop and implement NLP models and algorithms for various applications. Collaborate with cross-functional teams to gather and understand data requirements. Perform data preprocessing, feature extraction, and model evaluation. Optimize and fine-tune NLP models for better performance and accuracy. Stay updated with the latest advancements in NLP and machine learning technologies. Skills and Qualifications 4-8 years of experience in Natural Language Processing and Machine Learning. Proficient in programming languages such as Python and Java. Strong understanding of NLP libraries and frameworks such as NLTK, spaCy, TensorFlow, or PyTorch. Experience with deep learning techniques and models such as LSTM, GRU, or Transformers. Familiarity with data preprocessing techniques, text mining, and semantic analysis. Knowledge of cloud platforms like AWS or Azure for deploying NLP solutions. Strong problem-solving skills and the ability to work independently or in a team.

At Capgemini Engineering, the global leader in engineering services, a team of engineers, scientists, and architects collaborate to assist innovative companies in reaching their full potential. Our digital and software technology experts provide unique R&D and engineering services across various industries, from autonomous cars to life-saving robots. A career with us offers endless opportunities where you can truly make a difference, with each day presenting new and exciting challenges. MACS (Marketing and Creative Services) at Capgemini is a shared services organization dedicated to providing end-to-end marketing and creative services to marketing, sales, and delivery teams worldwide. With a team of over 200 marketing, creative, and digital professionals based in India and Poland, we are a truly global entity. This role is based in Mumbai or Kolkata and requires 7-9 years of experience. As a part of the global Marketing & Creative Services team (MACS), you will collaborate with marketing teams (both onshore and offshore) to build enterprise data and analytics solutions that result in meaningful KPI dashboards for Capgemini Group. Your responsibilities will include driving BI and Data Analytics solutions aligned with marketing and business objectives, as well as gaining an in-depth understanding of the digital landscape within the organization and among key competitors. Key Responsibilities: - Participate in marketing/campaign briefings, solution architecture building, and design activities - Implement tracking tags using Google Tag Manager to measure web & marketing campaign performance - Develop integrated corporate visualization solutions from multiple data sources to enable insight and decision-making - Create data models and performance measures for scorecard analysis - Conduct ad-hoc analysis and present results effectively - Establish data visualization standards and explore new tools to enhance those standards - Ensure accuracy, completeness, and timeliness of reporting through proactive measures - Conduct exploratory data analysis and data pre-processing to identify patterns and trends Experience/Skills: - Collaborate closely with platforms team, digital & marketing teams - Excellent presentation skills for reports and dashboards Education Qualification: - Bachelor's or Master's/Equivalent degree in Computer Science, Information Systems, or a similar quantitative discipline Skills (Competencies): Capgemini is a global business and technology transformation partner, assisting organizations in transitioning to a digital and sustainable world. With a team of over 340,000 members in more than 50 countries, Capgemini leverages its expertise in AI, cloud, and data to provide end-to-end services and solutions. Trusted by clients for over 55 years, Capgemini delivers tangible impact by unlocking the value of technology to address diverse business needs. The Group reported global revenues of 22.5 billion in 2023.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

You are a Senior Python Developer with a strong background in backend development and a passion for designing and implementing efficient algorithms. Your main responsibility is to develop, maintain, and optimize core backend systems and services, with a focus on complex algorithms. This role requires a deep understanding of Python, strong problem-solving skills, and the ability to work collaboratively in a fast-paced environment. You will play a key role in designing, developing, and maintaining robust data pipelines, APIs, and data processing workflows. It is essential to work closely with data analysts and business teams to understand data requirements and deliver insightful data-driven solutions. Ideal candidates are passionate about data, enjoy problem-solving, and thrive in a collaborative environment. Experience in the financial or banking domain is a plus. Responsibilities: - Design, develop, and maintain robust and scalable data pipelines using Python, SQL, PySpark, and streaming technologies like Kafka. - Perform efficient data extraction, transformation, and loading (ETL) for large volumes of data from diverse data providers, ensuring data quality and integrity. - Build and maintain RESTful APIs and microservices to support seamless data access and transformation workflows. - Develop reusable components, libraries, and frameworks to automate data processing workflows, optimizing for performance and efficiency. - Apply statistical analysis techniques to uncover trends, patterns, and actionable business insights from data. - Implement comprehensive data quality checks and perform root cause analysis on data anomalies, ensuring data accuracy and reliability. - Collaborate effectively with data analysts, business stakeholders, and other engineering teams to understand data requirements and translate them into technical solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. - 5+ years of proven experience in Python development, with a strong focus on data handling, processing, and analysis. - Extensive experience building and maintaining RESTful APIs and working with microservices architectures. - Proficiency in building and managing data pipelines using APIs, ETL tools, and Kafka. - Solid understanding and practical application of statistical analysis methods for business decision-making. - Hands-on experience with PySpark for large-scale distributed data processing. - Strong SQL skills for querying, manipulating, and optimizing relational database operations. - Deep understanding of data cleaning, preprocessing, and validation techniques. - Knowledge of data governance, security, and compliance standards is highly desirable. Experience in the financial services industry is a plus. - Familiarity with basic machine learning (ML) concepts and experience preparing data for ML models is a plus. - Strong analytical, debugging, problem-solving, and communication skills. - Ability to work both independently and collaboratively within a team environment. Preferred Skills: - Experience with CI/CD tools and Git-based version control. - Experience in the financial or banking domain.,

As a member of our team at Intellinet Systems, you will have the opportunity to be a part of a dynamic and innovative environment where you can grow and develop your skills. Our workplace culture is built on collaboration, community engagement, and a focus on innovation and creativity. With a minimum of 5-8 years of experience and a graduate degree, we are looking for individuals who are passionate about designing and developing AI models to solve complex business problems. Your main responsibilities will include designing and developing AI models and algorithms, implementing machine learning and deep learning techniques to analyze large datasets, and collaborating with cross-functional teams to understand business requirements. You will also be responsible for preprocessing and cleaning data, training and optimizing AI models, and deploying them into production environments. Staying up-to-date with the latest advancements in AI and machine learning techniques will be crucial, as well as providing technical guidance to junior team members and documenting project progress. To be successful in this role, you should have 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. Strong programming skills in Python and experience with relevant libraries such as TensorFlow, PyTorch, or scikit-learn are required. Additionally, a solid understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques will be necessary. Experience with large datasets, data visualization tools, cloud platforms, and software development practices will also be beneficial. If you are a problem-solver with excellent communication and teamwork skills, and you are excited about the opportunity to work on cutting-edge AI projects, we encourage you to apply by sending your updated CV to hr@intellinetsystem.com with the job code in the subject line. Join us at Intellinet Systems and be part of our journey to create groundbreaking solutions together.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 0 -2 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets ML Ops, AI / ML Preferred Skill Sets ML Ops, AI / ML Years Of Experience Required 0 - 2 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy + 22 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

As a skilled and passionate Python Developer with hands-on experience in AI/ML project development, you will have the opportunity to join our growing technology team in Jaipur. Your primary focus will be working on real-world AI solutions, contributing to end-to-end model development, and integrating intelligent systems into production-level applications. Your key responsibilities will include developing and maintaining high-quality, scalable Python code, designing, training, and deploying AI/ML models to solve business challenges, and collaborating with data scientists to implement algorithms and integrate ML models. You will also be responsible for optimizing model performance, managing deployment pipelines, working with cross-functional teams (Product, Design, DevOps), ensuring clean architecture, proper documentation, and version control, as well as keeping up-to-date with the latest developments in AI/ML and the Python ecosystem. To be successful in this role, you should have at least 3 years of professional Python development experience, proven experience in AI/ML model development using tools like scikit-learn, TensorFlow, PyTorch, etc., a strong understanding of data structures, algorithms, and model evaluation techniques, as well as experience with REST APIs, version control (Git), and cloud environments (preferably AWS). Additionally, familiarity with data preprocessing, feature engineering, and model lifecycle, solid problem-solving skills, and a detail-oriented mindset are essential. Nice to have skills include exposure to MLOps practices, experience in Flask or FastAPI, and knowledge of Docker/Kubernetes. By joining us, you will have the opportunity to work on impactful AI projects that solve real business problems, grow in a tech-first and collaborative environment, enjoy competitive salary, and be part of a vibrant on-site work culture in Jaipur. If you are ready to build smart solutions with us, we invite you to apply for this full-time position. Experience: - Python: 3 years (Required) Location: - Jaipur, Rajasthan (Required) Work Location: - In person,

As a Backend + ML Engineer at our company, you will be responsible for building scalable APIs, managing secure patient data flow, and supporting AI model integration. Your role will involve collaborating with AI engineers, front-end developers, and field researchers to operationalize models for real-time use, particularly on edge devices. Your key responsibilities will include designing and developing robust backend systems to handle real-time patient data and ML outputs, integrating machine learning models with APIs and the main O-Health app, optimizing model serving pipelines, managing data pipelines for de-identified OPD datasets, implementing data encryption and anonymization, setting up backend support for multilingual voice and text processing, and supporting versioning and A/B testing of health algorithms. To excel in this role, you should have expertise in Backend Engineering, including strong proficiency in Python with frameworks like FastAPI, Flask, or Django, experience with RESTful APIs, WebSockets, and asynchronous data flows, familiarity with databases such as PostgreSQL, MongoDB, or time-series databases, and working knowledge of Docker, Git, and CI/CD pipelines. Additionally, you should possess skills in Machine Learning Ops, such as hands-on experience with PyTorch, Scikit-learn, or TensorFlow, model optimization, quantization, and edge deployment formats, familiarity with language models and multilingual NLP, and knowledge of data preprocessing and feature engineering for clinical/NLP tasks. Preferred skills for this role include an understanding of HIPAA/GDPR compliance and experience working on healthcare, social impact, or AI-for-good projects. In this position, you will have a significant impact on connecting machine learning research with field-ready healthcare tools, scaling diagnosis support systems to underserved patients, and enabling multilingual health consultations in real-time. Join us in making a difference in the healthcare industry and contributing to the improvement of patient care.,

As a Principal Generative AI (GenAI) Engineer at Velocity Clinical Research, you play a crucial role in developing and implementing advanced Generative AI solutions to drive innovation and create business value. Your responsibilities include designing, optimizing, and deploying cutting-edge AI models and techniques such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Working closely with cross-functional teams, you will integrate these technologies into products and services to ensure they meet performance and business requirements. Your deep understanding of AI and continuous awareness of the latest advancements will be vital in shaping the future of AI capabilities at Velocity. Your duties involve actively designing, developing, and deploying advanced Generative AI applications using techniques like prompt engineering and RAG. Collaborating with data scientists, ML engineers, and product teams, you will translate business requirements into scalable GenAI applications. You will experiment with new Generative AI techniques, evaluate models rigorously, and explore agentic frameworks to develop AI systems capable of autonomous decision-making. Staying updated with Generative AI research, you will optimize models for real-world deployment, integrate them into production environments, and contribute to best practices specific to Generative AI technologies. To excel in this role, you must possess a deep understanding of machine learning algorithms, neural networks, and natural language processing. Expertise in working with Generative AI models, prompt engineering, and RAG techniques is essential. Proficiency in programming languages like Python, TensorFlow, and PyTorch, as well as experience with data pre-processing, ethical considerations in AI model development, and software engineering skills are required. You should be able to build, deploy, and maintain scalable AI/ML pipelines, work with APIs and microservices architecture, and demonstrate strong problem-solving skills and a passion for innovation in AI. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a Ph.D. preferred. With at least 8 years of software engineering experience, including 4+ years focused on AI/ML, and a background in Generative AI technologies, you should also have experience with LLMs like GPT and BERT. Effective communication skills, mentorship abilities, and a proven track record of developing production-level AI/ML solutions are essential for success in this role. Please note that this Job Description provides a general overview of the position's function and is not an exhaustive list of specific tasks. Job duties are subject to change based on Company and departmental needs. All employees are expected to perform their duties to the best of their abilities and as requested by management.,

Job Description As a Generative AI Engineer at Endorize, you will play a crucial role in revolutionizing primary healthcare through cutting-edge AI technology and a patient-first approach. Your primary responsibility will involve developing, deploying, and optimizing AI models specifically tailored for healthcare applications. This full-time hybrid role based in Chennai offers some work-from-home flexibility, providing you with the opportunity to make a significant impact in the field of healthcare technology. Your daily tasks will revolve around coding, debugging, data preprocessing, model training, and evaluating AI performance. With your expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn, you will collaborate with cross-functional teams to seamlessly integrate AI solutions into Endorize's innovative products and services. Your strong programming skills in languages such as Python, Java, or similar, coupled with your proficiency in natural language processing (NLP) and computer vision, will be essential in driving the success of our healthcare solutions. To excel in this role, you should possess a solid foundation in data preprocessing, model training, and evaluation techniques. Your ability to work collaboratively within a team, coupled with effective communication skills, will be crucial in ensuring the successful implementation of AI technologies at Endorize. While knowledge of healthcare industry standards and practices is advantageous, a Bachelors or Masters degree in Computer Science, Engineering, or a related field is required to be considered for this position. Join us at Endorize, where we are redefining healthcare by merging technology with compassionate care. Be part of a team that is dedicated to making healthcare more accessible, engaging, and personalized for all individuals. Let's shape the future of healthcare together, where technology meets care.,

You are an experienced Senior Quantitative Analyst (Model Developer/Validator) with extensive expertise in credit risk modeling, particularly focusing on Internal Credit Risk Rating modeling. Your role involves 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 responsibilities include conducting thorough data preparation and preprocessing using tools such as SAS, Python, R, and SQL. Collaborating with various stakeholders to analyze, interpret, and communicate complex model results and insights is crucial. You are expected to develop detailed technical documentation for regulatory compliance, test plans, validation reports, findings reports, and Business Requirements Documents (BRD) where applicable. Continuous improvement of models is key, which involves identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. Additionally, you will provide mentorship and technical guidance to junior team members to foster a culture of knowledge sharing and professional development. To qualify for this role, you need to 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 and guidance. Excellent analytical and problem-solving skills are required, complemented by strong written and verbal communication abilities. 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, and advanced statistical modeling techniques, as well as 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.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

You should possess a Degree or Diploma in computer science with Management along with 5+ years of relevant experience in the field. As a Data Analyst/BI Developer, you should have proven experience of at least 5 years, preferably in a large-scale organization or within the logistics industry. To excel in this role, you must have a strong technical skill set which includes: - Analyzing data using various BI tools such as Power BI for a minimum of 5 years - Proficiency in at least one scientific visualization tool like Power BI to create Dashboards and Reports based on user requirements - Designing visually appealing Dashboards to monitor key performance indicators within the organization - Expertise in data preprocessing, data modeling, data visualization, and administrative activities using Power BI - Profound knowledge in analyzing complex data sets to provide valuable insights to the business - Ability to develop outputs that monitor KPI values using DAX - Sound understanding of Database Concepts and proficient in writing SQL Queries - Capable of developing Data Models to identify potential opportunities and risks within the datasets - Skilled in interpreting data, analyzing results using statistical techniques, and presenting ongoing trends or patterns through reports - Having experience in Machine Learning/Python would be considered an added advantage for this role.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

The Senior AI Engineer - Agentic AI position at JMD Megapolis, Gurugram requires a minimum of 5+ years of experience in Machine Learning engineering, Data Science, or similar roles focusing on applied data science and entity resolution. You will be expected to have a strong background in machine learning, data mining, and statistical analysis for model development, validation, implementation, and product integration. Proficiency in programming languages like Python or Scala, along with experience in working with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn is essential. Additionally, experience with large-scale data processing frameworks like Spark, proficiency in SQL and database concepts, as well as a solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques are required. As a Senior AI Engineer, you should possess excellent problem-solving skills and the ability to devise creative solutions to complex data challenges. Strong communication skills are crucial for effective collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science are desirable traits for this role. The ideal candidate for this position would hold a Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field. They should have 5-10 years of industry experience in developing AI solutions, including machine learning and deep learning models. Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are necessary. Furthermore, a solid understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience in working with large datasets to implement scalable AI solutions are required. Proficiency in data visualization and reporting tools, knowledge of cloud platforms like AWS, Azure, Google Cloud for AI deployment, familiarity with software development practices, and version control systems are all valued skills. Problem-solving abilities, creative thinking to overcome challenges, strong communication, and teamwork skills to collaborate effectively with cross-functional teams are essential for success in this role.,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - Candidates with 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

Company Description At Smart Tech, we develop AI-driven solutions to tackle the world&aposs most pressing data and AI challenges. We invite the brightest minds to collaborate and build real-world solutions aimed at improving the lives of millions and creating a better, more sustainable world. Role Description This is a remote role for an AI Engineering Intern. The intern will be responsible for assisting in the development and implementation of AI algorithms, conducting data analysis, writing and testing code, and collaborating with team members on various projects. They will also participate in brainstorming sessions and contribute to problem-solving efforts. Qualifications Proficiency in programming languages such as Python, Java, and C++ Experience with generative AI, Deep Learning and Machine Learning and frameworks like TensorFlow or PyTorch Strong data analysis and statistical skills Ability to work with large datasets and perform data preprocessing Good communication skills and ability to collaborate in a remote team environment Strong Knowledge of AI concepts and principles Enthusiasm for learning and applying new technologies Currently pursuing a Master&aposs degree in Computer Science, Data Science, AI Engineering, or a related field Show more Show less

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). You will build intelligent systems that understand natural language queries and automate complex workflows. Additionally, you will integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. You will also prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaboration with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features is a key aspect of this role. Furthermore, you will work on prompt engineering, few-shot learning, and tool use orchestration. Key Responsibilities: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 4-8 years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens - A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

As an AWS Architect, you will be responsible for owning the architectural design, development, delivery, and maintenance of AI-based solutions. Your primary role will involve leading a team to build innovative solutions on the AWS platform. To excel in this position, you must have hands-on experience in AWS architectural development and a strong understanding of various AWS services such as Analytics, Big data, Databases, Security, Containerization, Application deployment, and CI/CD. Additionally, you should possess basic knowledge of Data analysis and Machine Learning, including data preprocessing, cleaning, modeling, and deployment experience. Requirements engineering and problem-solving skills are essential for this role, along with an AWS Solutions Architect certification. Good communication and presentation skills in English are necessary to effectively interact with stakeholders. A continuous learning attitude is crucial in keeping up with the latest technologies and trends in the field. Experience in automotive data analysis and working with international clients would be beneficial for this position. If you meet these requirements and are passionate about designing cutting-edge solutions on the AWS platform, we encourage you to apply for this exciting opportunity.,