155 Seaborn Jobs - Page 2

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

Role & responsibilities Assist in designing, training, and evaluating machine learning and deep learning models. Work on GenAI use cases such as text summarization, question answering, and prompt engineering. Build applications using LLMs (like OpenAI GPT, LLaMA, Mistral, Claude, or similar). Preprocess and manage large datasets for training and inference. Implement NLP pipelines using libraries like Hugging Face Transformers. Help integrate AI models into production-ready APIs or applications. Stay updated with advancements in GenAI, ML, and LLM frameworks. Preferred candidate profile Knowledge of vector databases (FAISS, Pinecone, etc.) LangChain or LlamaIndex (RAG pipelines) Experience with Kaggle competitions Awareness of ethical AI principles and model limitations Selection Process: Technical Assessment Python + ML/GenAI basics Technical Interview – Coding + Project Discussion Final Selection – Based on combined performance

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

As a Jr. Software Engineer (AI ML) at SynapseIndia, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. With a focus on AI/ML, you will play a crucial role in designing, developing, and deploying machine learning models and AI algorithms using Python and relevant libraries. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, having 0-2 years of professional experience in Python programming with a specialization in AI/ML is essential. Your strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, along with a solid understanding of machine learning algorithms, neural networks, and deep learning will be highly valuable. Furthermore, your proficiency in data manipulation libraries such as Pandas, NumPy, and data visualization tools like Matplotlib, Seaborn, as well as experience with cloud platforms like AWS, GCP, Azure, and deploying ML models using Docker, Kubernetes will be beneficial. Any familiarity with NLP, Computer Vision, or other AI domains will be considered a plus. Your responsibilities will include collaborating with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. You will be optimizing and scaling machine learning pipelines and systems for production, performing data preprocessing, feature engineering, and exploratory data analysis, and implementing and fine-tuning deep learning models using frameworks like TensorFlow, PyTorch, or similar. Additionally, you will be expected to conduct experiments, evaluate model performance using statistical methods, write clean, maintainable, and well-documented code, mentor junior developers, participate in code reviews, and stay up-to-date with the latest AI/ML research and technologies. Ensuring seamless model deployment and integration with existing infrastructure will also be part of your role. If you are a proactive individual with strong problem-solving skills, the ability to work independently and collaboratively, excellent communication skills, and familiarity with REST APIs, microservices architecture, version control systems like Git, MLOps best practices and tools, distributed computing, and big data tools like Spark or Hadoop, we encourage you to apply for this exciting opportunity at SynapseIndia. Join us and be a part of our dynamic team where your contributions are recognized and rewarded, and where you can grow both personally and professionally in a structured, eco-friendly workplace that prioritizes the well-being and job security of its employees.,

As a Lead - AI Engineer at Xerago, you will play a crucial role in driving our mission for customer immortality. Your responsibilities will include managing a team of AI engineers, developing high-quality AI models with strong predictive accuracy, and staying updated on the latest technologies in the field. By collaborating closely with project stakeholders, you will shape AI strategies, oversee timelines, and contribute significantly to the success and growth of our organization. Your influence will extend to our digital impact initiatives, shaping the future of technology at Xerago. In terms of technical responsibilities, you will be responsible for designing, developing, and implementing AI models using Python, TensorFlow, or PyTorch to ensure robustness and accuracy. Collaboration with the data team to clean, manipulate, and analyze large datasets using NumPy, Pandas, or similar libraries will be a key aspect of your role. Additionally, you will oversee the deployment of AI solutions on cloud platforms such as AWS, Google Cloud, or Microsoft Azure to optimize performance and efficiency. On the managerial front, you will lead and mentor a team of AI engineers, providing technical guidance and fostering a culture of continuous learning. Coordination with project stakeholders to define AI strategies, manage timelines, and ensure the successful delivery of AI-driven solutions will also fall within your purview. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Information Technology, Machine Learning, or a related field with a strong focus on AI and machine learning. Expertise in Python programming languages, deep learning frameworks like TensorFlow or PyTorch, and data manipulation libraries such as NumPy and Pandas is essential. Proficiency in cloud platforms such as AWS, Google Cloud, or Microsoft Azure is a prerequisite, while familiarity with data visualization tools (e.g., Matplotlib, Seaborn) and version control systems (e.g., Git) is desired. Although not mandatory, certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, and TensorFlow Developer Certificate by Deeplearning.ai are considered valuable. Strong communication, leadership, team management, adaptability, problem-solving, and strategic thinking abilities are crucial for success in this role. This is a full-time position with a work schedule of Monday to Friday, requiring in-person presence at the designated work location.,

We are looking for a highly skilled and motivated Senior LDI Analyst/Engineer to join our innovative team in India. In this role, you will utilize your advanced expertise in GIS, data science, and programming to extract actionable insights from geospatial data. Your work will drive impactful business outcomes through cutting-edge visualization and analytical tools. Your responsibilities will include: Data Analysis and Management: - Perform advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights. - Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports. - Ensure data accuracy and integrity through rigorous quality control measures and regular audits. Programming and Automation: - Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases. - Apply machine learning and AI techniques, including Generative AI, to enhance data accuracy and predictive capabilities in GIS applications. Visualization and Reporting: - Create compelling visualizations and interactive dashboards using Tableau, PowerBI, Matplotlib, and Seaborn to communicate complex spatial insights effectively. - Utilize advanced Excel for data manipulation and reporting. - Develop and maintain high-quality maps to support stakeholder presentations and decision-making. Process Efficiency and Development: - Design and implement efficient data analysis workflows to optimize processing and analysis tasks. - Translate process efficiency concepts into development strategies, achieving significant time and effort savings. - Continuously evaluate and enhance workflows to improve performance and scalability. Tool and Application Development: - Develop custom GIS tools and applications to address diverse business requirements. - Utilize FME (Feature Manipulation Engine) for advanced data transformation and integration tasks (knowledge preferred). - Explore scalable data storage, processing, and analytics. Collaboration and Support: - Collaborate with cross-functional teams to translate data insights into strategic business solutions. - Provide technical support and training to team members on GIS tools, visualization platforms, and data analysis methodologies. - Contribute to team and company objectives aligned with business goals. Continuous Learning: - Stay updated on the latest advancements in GIS, data science, machine learning, Generative AI, and visualization technologies. Requirements: - Bachelor's or Master's degree in Geography, GIS, Data Science, Computer Science, or a related field. - Minimum of 3+ years of experience in a data analysis role. - Advanced proficiency in ArcGIS and QGIS software. - Strong programming skills in Python and proficiency in SQL. - Proven expertise in data visualization and reporting using Tableau, PowerBI, Matplotlib, Seaborn, and advanced Excel. - Hands-on experience with AWS services for data management and analytics. - Familiarity with machine learning, AI, and Generative AI applications in GIS environments. - Knowledge of FME (Feature Manipulation Engine) is an advantage. - Exceptional analytical, problem-solving, and decision-making skills. - Excellent communication, collaboration, and teamwork abilities. - Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced environment. Join us at HERE Technologies, a location data and technology platform company, where we empower our customers to achieve better outcomes. If you are inspired by an open world and driven to create positive change, we invite you to be a part of our team in Gurgaon.,

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,

As a Data Scientist at our company located in Nagercoil, you will play a vital role in transforming raw data into valuable insights that will drive strategic decisions and enhance product enhancements. You should possess exceptional problem-solving abilities, proficiency in data science tools, and a strong enthusiasm for data manipulation. Your responsibilities will include analyzing both structured and unstructured data sets to identify patterns and trends, constructing predictive models and machine learning algorithms, collaborating with business teams to uncover data-driven opportunities, and effectively communicating findings through various mediums such as reports, dashboards, and visualizations. Additionally, you will be responsible for data cleaning, validation, preprocessing, developing A/B testing frameworks, and collaborating with software engineers and analysts to implement data-centric solutions. To excel in this role, you must have a solid foundation in Python or R for data analysis and machine learning, along with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Proficiency in SQL for data querying, familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn, and a good grasp of statistics, probability, and algorithms are also essential. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with big data tools like Hadoop or Spark would be advantageous, as well as knowledge of cloud platforms like AWS, Azure, or Google Cloud. This is a full-time, permanent position with a day shift schedule that requires in-person work at our Nagercoil location. Join us in leveraging the power of data to drive innovation and business success.,

Certified AI/ML Trainer needed (Online/Offline, Part-Time/Weekend) to teach Python, ML, Deep Learning, tools like TensorFlow, Keras, guide projects, conduct assessments, and mentor students for interviews and certification.

As a PL SQL Developer with 5 to 7 years of experience, you will be based in Pune/hybrid with an immediate to 15 days notice period. You must possess expertise in languages such as SQL, T-SQL, PL/SQL, and Python libraries like PySpark, Pandas, NumPy, Matplotlib, and Seaborn, along with databases like SQL Server and Synapse. Your key responsibilities will include designing and maintaining efficient data pipelines and ETL processes using SQL and Python, writing optimized queries for data manipulation, using Python libraries for data processing and visualization, performing EOD data aggregation and reporting, working on Azure Synapse Analytics for scalable data transformations, monitoring and managing database performance, collaborating with cross-functional teams, ensuring secure data handling and compliance with organizational policies, and debugging Unix-based scripts. To be successful in this role, you should have a Bachelors/Masters degree in Computer Science, IT, or a related field, along with 5-8 years of hands-on experience in data engineering and analytics. You must have a solid understanding of database architecture, experience in end-of-day reporting setups, and familiarity with cloud-based analytics platforms. This is a full-time, permanent position with day shift schedule and in-person work location.,

As a Data Engineer + Subject Matter Expert in Data Mining at Newton School of Technology, you will play a crucial role in revolutionizing technology education and empowering students to bridge the employability gap in the tech industry. You will have the opportunity to develop and deliver engaging lectures, mentor students, and contribute to the academic and research environment of the Computer Science Department. Your key responsibilities will include developing comprehensive lectures on "Data Mining", BigData, and Data Analytics courses, covering foundational concepts to advanced techniques. You will guide students on the complete data lifecycle, including preprocessing, cleaning, transformation, and feature engineering. Teaching a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detections will be a part of your role. Moreover, you will design practical lab sessions, grade assessments, mentor students on projects, and stay updated with the latest advancements in data engineering and machine learning to ensure the curriculum remains cutting-edge. To excel in this role, you are required to have a Ph.D. or a Master's degree with significant industry experience in Computer Science, Data Science, Artificial Intelligence, or related fields. Your expertise in data engineering and machine learning concepts, proficiency in Python and its data science ecosystem, experience in teaching complex topics at the undergraduate level, and excellent communication skills are essential qualifications. Preferred qualifications include a record of academic publications, industry experience as a Data Scientist or in a similar role, familiarity with big data technologies and deep learning frameworks, and experience in mentoring student teams for data science competitions or hackathons. By joining Newton School of Technology, you will be offered competitive salary packages, access to advanced labs and facilities, and the opportunity to be part of a forward-thinking academic team shaping the future of tech education. If you are passionate about transforming technology education, empowering students, and staying at the forefront of data engineering and machine learning, we are excited about the possibility of you joining our team at Newton School of Technology. For more information about our university, please visit our website: Newton School of Technology.,

At Skillsoft, we propel organizations and individuals towards growth through transformative learning experiences. We firmly believe that every team member possesses the potential to achieve greatness. Join us in our mission to revolutionize learning and assist individuals in unlocking their full potential. As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in Data, you will play a pivotal role in developing engaging and effective learning experiences within the Data domain. Your responsibilities will involve leading the entire content development process, from planning and scripting to reviewing and enhancing content for Data. You will need to leverage your instructional design expertise to create learner-centered content that caters to various learner personas and real-life scenarios. Collaboration with visual designers, editors, and technical experts will be essential to ensure that the content is presented in a compelling and accessible format. Your primary responsibilities will include owning the content development lifecycle for Data, designing creative and impactful learning experiences based on instructional design principles, scripting engaging digital content, collaborating with cross-functional teams, aligning content with industry certification frameworks, identifying learning gaps, and utilizing Generative AI tools to enhance content creation. To excel in this role, you should have a minimum of 5+ years of practical experience in data analytics or related fields, proficiency in instructional design, excellent scripting and communication skills, creativity, storytelling ability, programming knowledge (Python and SQL), familiarity with data libraries, and experience with data visualization tools. Additionally, relevant certifications in Data and familiarity with Generative AI tools and instructional design models will be advantageous. Skillsoft is a leading provider of online learning, training, and talent solutions aimed at helping organizations maximize the potential of their workforce. By offering immersive and engaging content, Skillsoft empowers organizations to develop the skills necessary for success in today's competitive landscape. As a partner to numerous global organizations, Skillsoft offers award-winning systems and platforms to support learning, performance, and overall success. If you are intrigued by this opportunity, we encourage you to apply and be a part of our journey towards transforming learning and empowering individuals to succeed. NOTE TO EMPLOYMENT AGENCIES: Skillsoft values the partnerships with our preferred vendors and does not accept unsolicited resumes. Kindly ensure a signed Skillsoft Employment Agency Agreement is on file before submitting any resumes.,

Professional Skill:Business Analysis,Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge. Work simplification - methods that maximize output while minimizing expenditure and cost. Required Candidate profile Analytics with Data - interprets data and turns it into information which can offer ways to improve a business. Communication - Good verbal communication and interpersonal skills are essential

The Data Visualization Engineer position at Zoetis India Capability Center (ZICC) in Hyderabad offers a unique opportunity to be part of a team that drives transformative advancements in animal healthcare. As a key member of the pharmaceutical R&D team, you will play a crucial role in creating insightful and interactive visualizations to support decision-making in drug discovery, development, and clinical research. Your responsibilities will include designing and developing a variety of visualizations, from interactive dashboards to static visual representations, to summarize key insights from high-throughput screening and clinical trial data. Collaborating closely with cross-functional teams, you will translate complex scientific data into clear visual narratives tailored to technical and non-technical audiences. In this role, you will also be responsible for maintaining and optimizing visualization tools, ensuring alignment with pharmaceutical R&D standards and compliance requirements. Staying updated on the latest trends in visualization technology, you will apply advanced techniques like 3D molecular visualization and predictive modeling visuals to enhance data representation. Working with various stakeholders such as data scientists, bioinformaticians, and clinical researchers, you will integrate, clean, and structure datasets for visualization purposes. Your role will also involve collaborating with Zoetis Tech & Digital teams to ensure seamless integration of IT solutions and alignment with organizational objectives. To excel in this position, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors will be a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is essential. Additionally, familiarity with data handling tools, omics and network visualization platforms, and dashboarding tools will be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this full-time position are minimal, ranging from 0-10%. Join us at Zoetis and be part of our journey to pioneer innovation and drive the future of animal healthcare through impactful data visualization.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,