146 Classification Jobs - Page 3

As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for tracking. Collaboration with engineering teams will be a key aspect of your job to ensure the operationalization of models, both in batch and real-time scenarios, using Databricks Jobs or REST APIs. You will be responsible for implementing Delta Lake to support scalable and ACID-compliant data workflows, as well as enabling CI/CD for machine learning pipelines using Databricks Repos and GitHub Actions. In addition to your technical duties, troubleshooting Spark Jobs and resolving issues within the Databricks Environment will be part of your routine tasks. To excel in this role, you should possess 3 to 5 years of experience in predictive analytics, with a strong background in regression, classification, and time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark is crucial for success in this position. Familiarity with tools like MLflow, Feature Store, and Unity Catalog for governance purposes will be advantageous. Industry experience in Life Insurance or Property & Casualty (P&C) is preferred, and holding a certification as a Databricks Certified ML Practitioner would be considered a plus. Your technical skill set should include proficiency in Python, PySpark, MLflow, and Databricks AutoML. Expertise in predictive modeling techniques such as classification, clustering, regression, time series analysis, and NLP is required. Familiarity with cloud platforms like Azure or AWS, Delta Lake, and Unity Catalog will also be beneficial for this role.,

The ideal candidate for this role should have 3 to 8 years of experience in Data Governance/Cloud Data. As a Lead PoC for OCI Data Catalog, you will be responsible for designing, configuring, and demonstrating catalog capabilities. You will also need to integrate with Oracle DB, Object Storage, and on-prem sources while showcasing metadata, lineage, classification, and stewardship. Additionally, the role requires exporting metadata to the Marketplace App, documenting outcomes, and training client teams. The candidate should possess hands-on experience with OCI Data Catalog and be proficient in metadata, lineage, and classification. Strong communication and documentation skills are essential for effectively fulfilling the responsibilities of this position.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a ML Developer at EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY's sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements: - A bachelor's degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field with adequate industry experience. - Technical skills requirements include developing and implementing machine learning models, conducting exploratory data analysis (EDA), applying dimension reduction techniques, utilizing statistical models, evaluating and validating models, solid background in Python, familiarity with Time Series Forecasting, basic experience with cloud platforms such as AWS, Azure, or GCP, and exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker). Additional skill requirements: - Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. - Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. - Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. - Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. - Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. Join us in building a better working world at EY, where opportunities for personal development, skill advancement, and career progression await. Be part of a diverse team of professionals dedicated to creating long-term value for clients, people, and society while fostering trust in the capital markets. Apply now and be a part of our journey towards a better future.,

As a Data Scientist at mPokket, you will be an integral part of our rapidly growing fintech startup in the lending domain. We specialize in offering micro loans to college students and young professionals through our mobile app, with over 11 million loans disbursed. As a profitable organization backed by a US based private equity firm, we are now poised to scale our business 10x-20x in the upcoming years. If you are an ambitious individual with a passion for working with raw data to derive meaningful insights, we invite you to join us on this incredible journey. Your primary responsibility will be to collaborate with the data science team to plan and execute projects aimed at building advanced analytics models. You should possess a strong problem-solving ability, a flair for statistical analysis, and the capability to align data products with our business objectives. By leveraging data effectively, your role will contribute towards enhancing our products and driving informed business decisions. Key Responsibilities: - Supervise the data scientists team and data specialists to ensure seamless project execution - Mentor and guide colleagues on innovative techniques and solutions - Work closely with data and software engineers to implement scalable technologies across the organizational ecosystem - Conceptualize, plan, and prioritize data projects in alignment with business goals - Develop analytic systems, predictive models, and explore new methodologies to enhance performance - Ensure that all data projects are in sync with the overall organizational objectives Minimum Qualifications: - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field - Over 6 years of experience in solving analytical problems using quantitative approaches - Proficient in communicating quantitative analysis results effectively - Familiarity with relational databases, SQL, and scripting languages like Python, PHP, or Perl - Knowledge of statistics including hypothesis testing and regressions - Experience in manipulating data sets using statistical software like R, SAS, or other similar tools Technical Skills: Must have: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Random Forest, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, Naive Bayes - Excel and SQL - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm - Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline on cloud Good to have: - Visualization: Tableau, Power BI, Looker, QlikView - Data management: HDFS, Spark, Advanced Excel - Agile Tools: Azure DevOps, JIRA - Pyspark - Big Data/Hive Database - IDE: Pycharm,

As a Maintenance Data Specialist, you will be responsible for various activities related to maintenance and material data management in compliance with SAP PM / MM module standards. Your primary duties will include creating, cleansing, classifying, verifying, validating, standardizing, and enriching data for ERP / CMMS master data management. Additionally, you will be involved in preparing the Master Equipment List (MEL) and asset register, developing and populating functional locations with descriptions and object types, and identifying maintenance spares from vendor documents. Furthermore, you will review recommendations for new spares from vendor documents and spare parts inter-changeability records, perform MRO spares coding, and develop Bills of Materials (BOM). Conducting criticality analysis and optimization for MRO spares, as well as cleansing, standardizing, enriching, and de-duping coded or existing spares, will also be part of your responsibilities. To qualify for this role, you should hold an engineering degree in Mechanical Engineering and have a minimum of 5 to 10 years of total experience, with at least 5 years of experience in maintenance. This position is based in Vadodara or Chennai.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automated data and technology solutions in line with data42 strategy. - Be a data Subject Matter Expert (SME), understand Real World Data (RWD) of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory use of AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in artificial Intelligence / Machine Learning. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, or SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

The Spec Analytics Intmd Analyst role is a developing professional position where you will independently handle most problems and have the freedom to solve complex issues. You will utilize your in-depth specialty knowledge along with industry standards to integrate with the team and achieve sub-function/job family objectives. Your role will involve applying analytical thinking and data analysis tools to make judgments and recommendations based on factual information with attention to detail. You will be dealing with variable issues that could have broader business impacts and will have a direct influence on the core activities of the business through close contact. Your communication and diplomacy skills will be crucial to exchange potentially complex information effectively. Responsibilities: - Working with large and complex data sets to evaluate, recommend, and support business strategies - Identifying and compiling data sets using tools like SQL and Access to predict, improve, and measure business outcomes - Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis - Specializing in marketing, risk, digital, and AML fields - Assessing risk in business decisions with consideration for the firm's reputation and compliance with laws and regulations Skills and Experience: As a successful candidate, you should ideally have: - 5+ years of experience in data science, machine learning, or related fields - Advanced process management skills, detail-oriented, and organized - Curiosity and willingness to learn new skill sets, particularly in artificial intelligence - Strong programming skills in Python and proficiency in data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, data visualization tools, and GenAI solutions - Familiarity with agentic AI frameworks and MLOps Education: - Bachelors/University degree or equivalent experience This job description provides an overview of the work performed, and additional duties may be assigned as needed.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and contribute to creating a better working world for all. As an Assistant Manager in AI/Gen AI within the Data and Analytics team, you will be part of a multi-disciplinary technology team that delivers client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments you work on will cover a wide range of countries and industry sectors. Your key responsibilities include: - Developing, reviewing, and implementing solutions using AI, Machine Learning, Deep Learning, and Python programming. - Leading the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). - Working with advanced models for natural language processing and creative content generation. - Designing and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Identifying opportunities for analytics applications within various industry sectors. - Managing projects and ensuring smooth service delivery. - Collaborating with cross-functional teams and stakeholders. Skills and attributes we are looking for: - Ability to work creatively and systematically in a time-limited, problem-solving environment - High ethical standards and reliability - Curiosity, creativity, and openness to new ideas - Good interpersonal and communication skills - Experience in working with multi-cultural teams and managing multiple priorities simultaneously To qualify for this role, you must have: - Experience in guiding teams on AI/Data Science projects and communicating results to clients - Familiarity with implementing solutions in Azure Cloud Framework - Presentation skills and 6-8 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models - Proficiency in Python programming and experience with statistical techniques, deep learning, and machine learning algorithms - Familiarity with the software development life cycle and product development principles Ideally, you will also have: - Strategic thinking abilities and a customer-focused mindset - Ability to build rapport and trust with clients - Willingness to travel extensively and work on client sites/practice office locations What we offer: EY Global Delivery Services (GDS) provides a dynamic and truly global delivery network with fulfilling career opportunities and exciting projects. You will have the chance to collaborate with EY teams worldwide and work on projects with well-known brands. Continuous learning, success defined by you, transformative leadership, and a diverse and inclusive culture are all part of what EY offers to its employees. Join us at EY to be a part of a team that is committed to building a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets.,

You are seeking experienced Teamcenter PLM migration professionals with a background in CAD and legacy system data migrations to Teamcenter Unified (TCUA). If you have hands-on experience with tools such as csv2tcxml, tcxml, and are familiar with TCIN, TCIC, BMIDE, and ITK, we invite you to apply for positions available as Consultants, Developers, and Architects, depending on your experience and technical depth. Open Positions & Specializations: - NX to Teamcenter Migration Consultant: Mandatory experience in CAD NX to TC migration, analyzing and cleansing NX data, working with tcin_import.exe, TCIN configuration, and Teamcenter-NX integration. - CATIA to Teamcenter Migration Consultant: Mandatory experience in CATIA V5/V6 to TC migration, analyzing CATIA data, scripting for CATIA API / CATScript, setting up and managing TCIC and TC-CATIA integrations. - Teamcenter Enterprise to Unified Migration Consultant: Experience in extracting and transforming data from TC Enterprise, mapping legacy structures to TCUA datamodel using BMIDE. - Legacy System (SAP / Enovia) to Teamcenter Migration Consultant: Experience in migrating from legacy PLM systems like SAP PLM or Enovia to Teamcenter, with skills in data cleansing, extraction, and transformation. Key Responsibilities (All Roles): - Analyze source system data, identify and fix inconsistencies. - Design and execute robust data migration pipelines using Teamcenter migration tools like csv2tcxml, tcxml export/import, and ips upload. - Perform data cleansing, transformation, mapping, and validation. - Customize or support batch migration utilities using tools such as Teamcenter ITK, XML, Batch Scripting, SQL, Python, Java. - Configure and use modules like My Teamcenter, Structure Manager, Organization, Classification, Projects. - Collaborate with cross-functional teams and lead technical discussions. For Architect roles, own the migration plan, lead teams, manage client communication, and ensure successful project delivery. Required Skills: - 5+ years of experience in Teamcenter PLM. - Proven experience with at least one migration stream (NX / CATIA / TC Ent / SAP / Enovia). - Strong command of BMIDE, Teamcenter datamodel, and database schema. - Solid understanding of CAD-PLM integrations and import/export workflows. - Strong scripting and automation skills in ITK, SQL, Batch, Python, Java, XML. - Excellent communication, ownership, and defect-resolution skills. Nice-to-Have Skills: - NX Open API or CATIA API / CATScript. - Experience working with STEP, PDF generation workflows. - Prior experience in multi-CAD or multi-site Teamcenter environments. Why Join Us - Work on enterprise-level migration projects for global clients. - Contribute to cutting-edge PLM transformations. - Leadership and growth opportunities (Developer Architect track). - Collaborative team culture, continuous learning, and certifications.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an Assistant Director - AI/GenAI in the Data and Analytics team at EY, you will be part of a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your assignments will cover a wide range of countries and industry sectors. Your key responsibilities include developing, reviewing, and implementing solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. You will lead the development and implementation of Generative AI applications, work with advanced models for natural language processing and creative content generation, and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Additionally, you will work on identifying opportunities for analytics application, manage projects, study resource needs, provide expert reviews, and communicate effectively with cross-functional teams. To qualify for this role, you must have 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models, experience in Azure Cloud Framework, excellent presentation skills, and familiarity with statistical techniques, deep learning, and machine learning algorithms. Proficiency in Python programming, experience with SDLC, and willingness to mentor team members are also required. Ideal candidates will have the ability to think strategically, build rapport with clients, and be willing to travel extensively. In addition, we look for individuals with commercial acumen, technical experience, and enthusiasm to learn in a fast-moving environment. This role offers the opportunity to be part of a market-prominent, multi-disciplinary team and work with EY SaT practices globally across various industries. EY Global Delivery Services (GDS) is a dynamic and truly global delivery network that offers fulfilling career opportunities in collaboration with EY teams on exciting projects worldwide. Continuous learning, transformative leadership, and a diverse and inclusive culture are some of the key aspects of working at EY. EY exists to build a better working world by providing trust through assurance and helping clients grow, transform, and operate across various sectors. Your role at EY will contribute to creating long-term value for clients, people, and society while building trust in the capital markets.,

The role of Asset Predictive Analytics (APA) support for industrial clients involves utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. As the ideal candidate, you will have a strong understanding of mechanical systems, data analysis, and predictive modeling to enhance equipment reliability and minimize downtime. Your responsibilities will include implementing Asset Predictive Analytics (APA) for major rotating and static equipment, such as compressors, pumps, turbines, motors, blowers, fans, heaters, distillation columns, transformers, and heat exchangers. You will be involved in data collection and analysis, developing and implementing predictive models, and optimizing maintenance schedules based on predictive insights to prevent unplanned downtime. To qualify for this role, you should hold a B.E/B.Tech degree in Mechanical or Chemical Engineering, along with a minimum of 5-7 years of experience in APA within industrial sectors, preferably oil & gas. Proficiency in AVEVA Predictive Analytics or similar solutions, as well as knowledge of reliability principles, tools, and methodologies, is essential. You should also possess strong skills in data analysis, statistical modeling, programming languages like Python or R, and experience in developing predictive models using machine learning algorithms. In addition, you must demonstrate the ability to communicate technical information effectively to both technical and non-technical audiences, engage with stakeholders at a senior level, and work collaboratively with maintenance teams. Your competency should include strong interpersonal skills, a self-aware and self-developmental approach, and a systematic work ethic with attention to detail. The role may involve travel as per business needs. Clients in Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries will be your primary focus.Embrace change, develop innovative solutions, and challenge the status quo to excel in this dynamic role.,

As a Data Scientist at mPokket, you will play a crucial role in deriving valuable insights from raw data to drive business decisions and improve our products. You will collaborate with the data science team, plan projects, and develop analytics models. Your problem-solving skills and expertise in statistical analysis will be key in aligning our data products with our business objectives. Your responsibilities will include overseeing the data scientists team, guiding colleagues on new techniques, and working closely with data and software engineers to deploy scalable technologies. You will lead the conception, planning, and prioritization of data projects, build analytic systems and predictive models, and explore new techniques to enhance our data capabilities. Ensuring that data projects are in line with our organizational goals will be a critical aspect of your role. The minimum qualifications for this position include a Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field, along with at least 6 years of experience in solving analytical problems using quantitative approaches. Proficiency in communicating quantitative analysis results, knowledge of relational databases, SQL, and development experience in scripting languages such as Python, PHP, or Perl are required. You should also have expertise in statistics, experience with statistical software like R or SAS, and a strong technical skill set. Key Technical Skills Required: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Bagging & Boosting, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, Naive Bayes - Excel and SQL - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm - Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline on the cloud Additional Skills (Good to have): - Visualization: Tableau, Power BI, Looker, QlikView - Data Management: HDFS, Spark, Advanced Excel - Agile Tools: Azure DevOps, JIRA - Pyspark - Big Data/Hive Database - IDE: Pycharm If you are a proactive and talented individual with a passion for data science and a desire to contribute to a rapidly growing fintech startup, we would love to have you join us on this exciting journey at mPokket.,

The Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing operational data from various stakeholders, applying machine learning techniques to identify data patterns and trends, developing and implementing machine learning models for predictive analytics, and designing Generative AI solutions to enhance customer experience. You will also experiment with agentic AI frameworks, develop tools to evaluate AI solutions" performance, and translate data into consumer insights to drive targeting and segmentation strategies. Effective communication of findings to business partners and senior leaders is essential for success in this role. The ideal candidate should possess 5+ years of relevant experience in data science or a related field, advanced process management skills, a curious mindset for learning new skill sets, and strong programming skills in Python. Proficiency in relevant data science libraries, experience with statistical modeling techniques, and familiarity with data visualization tools are required. Additionally, strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are essential for this position. A Bachelor's/University degree or equivalent experience in a quantitative field is necessary, with a Master's degree being preferred. Working at Citi offers more than just a job it provides the opportunity to join a global family of dedicated individuals, grow your career, contribute to your community, and make a meaningful impact. If you require a reasonable accommodation due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details, you can refer to Citis EEO Policy Statement and the Know Your Rights poster.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

GlobalLogic is seeking English Proficient Talent for a premium Silicon Valley Client. This is a rewarding opportunity to join a fantastic journey with one of the leading companies in the industry. **Requirements:** - Graduates with strong written communication skills in English. - Must possess a graduation degree (Provisional Certificate and Consolidated Marks Memo required). - Open to working from the office and in rotational shifts (5 days Working, 2 days off). - Available for immediate joining. **Job Responsibilities:** - Perform data annotation, classification, and evaluation tasks across various datasets. - Engage in projects involving computer vision capabilities such as object detection, image classification, and segmentation. - Maintain high accuracy and consistency in labeling and reviewing data. - Collaborate with cross-functional teams to understand annotation requirements and deliver timely updates. - Strictly adhere to annotation guidelines and maintain documentation. **What We Offer:** **Culture of Caring:** At GlobalLogic, we prioritize a culture of caring where people come first. Experience an inclusive environment of acceptance and belonging, fostering meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. **Learning and Development:** We are dedicated to your continuous learning and development. Grow daily in an environment that provides numerous opportunities to expand your skills, try new things, and advance your career. Benefit from programs, training curricula, and hands-on experiences to grow both personally and professionally. **Interesting & Meaningful Work:** Join GlobalLogic to work on impactful projects for clients worldwide. Engage your creativity and problem-solving skills to help clients reimagine possibilities and introduce innovative solutions to the market. **Balance and Flexibility:** We value the importance of balance and flexibility. Explore various roles and work arrangements to achieve the perfect work-life balance. We support integrating and balancing work and life, ensuring you have fun along the way. **High-Trust Organization:** GlobalLogic is a high-trust organization that prioritizes integrity. By joining us, you become part of a safe, reliable, and ethical global company. Trust, candor, and integrity are fundamental to our interactions with employees and clients. **About GlobalLogic:** GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with leading companies to create innovative digital products and experiences. With a rich history of digital transformation, we continue to redefine industries through intelligent solutions, platforms, and services.,

As an experienced professional with 5 to 10 years of expertise, you are required to possess strong proficiency in Siemens Teamcenter development. This includes Active Workspace customization and Configuration, ITK (Integration Toolkit) for server-side customization, RAC (Rich Application Client) customization using Java and Eclipse, SOA (Service-Oriented Architecture) for web services and integrations, and BMIDE (Business Modeler Integrated Development Environment) for business object and data model configurations. Your role demands a deep understanding of PLM concepts such as BOM management, change management, Classification, Stylesheet, Query Builder, PLMXML, and access control. Your problem-solving and analytical skills should be robust to tackle complex challenges efficiently. Collaboration in a team-oriented environment and adaptability to agile methodologies are essential aspects of this role. Your responsibilities will include designing and developing custom solutions in Teamcenter to align with business requirements. You will be tasked with implementing and enhancing BMIDE configurations, developing and customizing workflows, handlers, and triggers, and extending Teamcenter using ITK, RAC, SOA, and TCXML. Additionally, you will need to develop and maintain integrations with third-party systems like ERP, CAD, and MES tools, using T4x or other middleware. Writing efficient, scalable, and maintainable code while following coding standards will be crucial. You will be responsible for debugging, testing, and troubleshooting issues in customizations, integrations, and configurations. Performance tuning for Teamcenter solutions to boost system efficiency and managing source code repositories using tools like Git or SVN will also fall under your purview. Your role demands a high level of technical proficiency and a proactive approach to deliver optimal solutions.,

You are a skilled Teamcenter PLM migration professional with 5 to 8 years of experience in CAD and legacy system data migrations to Teamcenter Unified (TCUA). Your role involves analyzing and cleansing data for migration, utilizing tools like csv2tcxml and tcxml, and being familiar with TCIN, TCIC, BMIDE, and ITK. Depending on your experience and technical depth, you may be hired as a Consultant, Developer, or Architect for roles such as NX to Teamcenter Migration Consultant, CATIA to Teamcenter Migration Consultant, Teamcenter Enterprise to Unified Migration Consultant, or Legacy System to Teamcenter Migration Consultant. Your key responsibilities include analyzing source system data, fixing inconsistencies, designing and executing data migration pipelines, working with Teamcenter migration tools, performing data cleansing, transformation, mapping, and validation, customizing or supporting batch migration utilities, configuring and using various modules, collaborating with cross-functional teams, and for Architect roles, owning the migration plan, leading teams, managing client communication, and ensuring successful project delivery. To excel in this role, you must have 5+ years of experience in Teamcenter PLM, proven experience with at least one migration stream, a strong command of BMIDE, Teamcenter datamodel, and database schema, solid understanding of CAD-PLM integrations and import/export workflows, strong scripting and automation skills in ITK, SQL, Batch, Python, Java, and XML, excellent communication, ownership, and defect-resolution skills. Nice-to-have skills include experience with NX Open API or CATIA API / CATScript, working with STEP, PDF generation workflows, and prior experience in multi-CAD or multi-site Teamcenter environments. By joining this role, you will work on enterprise-level migration projects for global clients, contribute to cutting-edge PLM transformations, have leadership and growth opportunities, and be part of a collaborative team culture focused on continuous learning and certifications.,

As a Lead PoC for OCI Data Catalog, you will be responsible for designing, configuring, and demonstrating catalog capabilities. Your role will involve integrating with Oracle DB, Object Storage, and on-prem sources to showcase metadata, lineage, classification, and stewardship. Additionally, you will be expected to export metadata to Marketplace App, document outcomes, and provide training to client teams. The ideal candidate should have a minimum of 3 years of experience in Data Governance and Cloud Data, with hands-on experience in OCI Data Catalog. You should possess a strong understanding of metadata, lineage, and classification concepts. Excellent communication and documentation skills are essential for this role to effectively interact with stakeholders and produce relevant documentation.,

As a Data Scientist at our organization, you will be applying your expertise in artificial intelligence by utilizing machine learning, data mining, and information retrieval to design, prototype, and construct advanced analytics engines and services for next-generation applications. Your role will involve collaborating with business partners to define technical problem statements and hypotheses, developing analytical models that align with business decisions, and integrating them into data products or tools with a cross-functional team. Your responsibilities will include: - Collaborating with business partners to devise innovative solutions using cutting-edge techniques and tools - Effectively communicating the analytics approach to address objectives - Advocating for data-driven decision-making and emphasizing the importance of problem-solving methodologies - Leading analytic approaches and integrating them into applications with data engineers, business leads, analysts, and developers - Creating scalable, dynamic, and interpretable models for analytic data products - Engineering features by leveraging internal and external data sources - Sharing your passion for Data Science within the enterprise community and contributing to the development of processes, frameworks, and standards - Collaborating, coaching, and learning with a team of experienced Data Scientists - Staying updated with the latest trends and ideas in the field through conferences and community engagements Desired Skills: - Bachelor's degree required, MS or PhD preferred - Bachelor's in Data Science, Computer Science, Engineering, Statistics, and 5+ years of experience OR Graduate degree in a quantitative discipline with demonstrated Data Science skills and 2+ years of work experience - Proficiency in Python for working with DataFrames - Proficiency in writing complex SQL queries - Experience with Machine Learning for clustering, classification, regression, anomaly detection, simulation, and optimization on large datasets - Ability to merge and transform disparate internal and external data sets to create new features - Experience with Big Data technologies such as Spark, Cloud AI platforms, and containerization - Experience in supporting deployment, monitoring, maintenance, and enhancement of models - Familiarity with data visualization tools like Tableau, Plotly, etc. Digital Experience/Individual Skills: - Excellent communication and collaboration skills to understand business needs and deliver solutions - Proven ability to prioritize tasks and manage time effectively to achieve outstanding results - Efficient learning capability to tackle new business domains and problems - Critical thinking and skepticism regarding the validity and biases of data - Intellectual curiosity and humility to leverage expertise and collaborate effectively - Strong organizational skills with attention to detail and accuracy - Ability to mentor, coach, and work closely with business partners, analysts, and team members,

Job Description: Infosys Limited is an Indian multinational information technology company that provides business consulting information technology and outsourcing services Infosys DNA unit is positioned as a Leader in Gartner Magic Quadrant for Data and Analytics D A Services for 2021 Infosys was recognized for its steady growth maturity with D A capabilities and expansion of its global footprint and local resources The recognition reflects how we help clients achieve data led business transformation with our full stack of Data and Analytics offerings We will continue to create and deliver innovative solutions to enable global clients accelerate their digital journey Infosys DNA is hiring Job Title Analyst Data Science Junior Intermediate Senior Role Summary We are looking for candidates to build and implement analytics solutions to our esteemed clients The incumbent should have strong aptitude for numbers experience in any domain and willingness to learn some cutting edge technologies Key Responsibilities: Roles Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements Creating a detailed business analysis outlining problems opportunities and solutions for a business Perform activities related to data wrangling model building and model deployment Stay current with the latest research and technology and communicate your knowledge throughout the enterprise Lead initiatives to improve the team morale camaraderie and collaboration Technical Requirements: Must Have Skills Hands on experience in Data Science Python R Coding and associated state of the art technologies for Exploratory Data Analysis building predictive models with big data Familiarity with standard Clustering Classification dimensionality reduction and other techniques Algorithms in Machine learning Ability to communicate actionable insights using data often to a non technical audience Ability to drive end to end data driven solutions with excellent sense of risk and resource management in any given situation Good knowledge on statistical concepts such as properties of distributions statistical tests and their proper usage Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes A quick and enthusiastic learner must and who is willing to work on new technologies depending on requirement Additional Responsibilities: Nice to have Skills SQL knowledge and experience working with relational databases Understanding of any one of domain Eg Retail Supply chain Logistics Manufacturing Understanding of the project lifecycles waterfall and agile Soft Skills Strong verbal and written communication skills with the ability to work well in a team Strong customer focus ownership urgency and drive Ability to handle multiple competing priorities in a fast paced environment Work well with the team members to maintain high credibility Work Experience 2 5 years of experience in Data Analytics Data Science or Data Visualization Educational Requirements any of the following Bachelor of Engineering Bachelor of Technology in any stream with consistent academic track record Bachelor s degree in a quantitative discipline e g Statistics Economics Mathematics Marketing Analytics or significant relevant coursework with consistent academic track record Additional Academic Qualification good to have Masters in any area related to Science Mathematics Statistics Economy and Finance with consistent academic track record PhD in any stream Location Bangalore Pune Hyderabad Chennai Trivandrum Mysore Preferred Skills: Technology->Data Science->Machine Learning

You should have 7+ years of relevant experience in the following areas: - Experience in Teamcenter application, Active Workspace, and data model management. - Experience in Teamcenter/Active Workspace installation. - Proficiency in parts and parts list management, change, and release management. - Ability to create, configure, and manage MBOM. - Capable of aligning EBOM and MBOM. - Knowledge of Teamcenter modules including Project, Organization, Access Manager, Workflow, Query Builder, Structure Manager, and Workflow Designer. - Understanding and implementation of use cases for Teamcenter applications/Active Workspace such as change management, document management, EBOM-MBOM, and classification. This position is located in Pune, Hyderabad, and Bangalore.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

Avistrat is a talent partner for the fast-growing Indian aerospace industry, supporting partner aerospace engineering firms with skilled talent. Our client, a renowned multi-industry company based in the US, is seeking a PLM IT Specialist to join their team in Bangalore. The company aims to be a premier multi-industry company known for its powerful brands, world-class processes, and talented people. As a PLM IT Specialist, you will be responsible for designing and implementing solutions for the Engineering team using the Siemens Teamcenter platform. You will collaborate with business users to transform requirements into system-based solutions and drive end-user adoption of PLM and Enterprise Engineering/Manufacturing platforms. Additionally, you will provide domain expertise on complex PLM projects, troubleshoot engineering applications, and maintain server architecture. The ideal candidate will have 8-12 years of experience in PLM as a Consultant and Developer with a focus on Siemens PLM tools. Technical competencies include proficiency in Teamcenter application modules, configuration, BMIDE, ITK, AWC development, and knowledge of coding languages such as C++, Java, or C#. Strong analytical skills, problem-solving abilities, and knowledge of industry standards are essential for this role. A Bachelor's/Master's degree in IT/Computer Science or related field is required. Effective communication, teamwork, problem-solving skills, cross-cultural work experiences, and the ability to work in a matrix organization are additional competencies desired for this position. Stay updated with industry trends and emerging technologies to drive continuous improvement in efficiency. If you are a bright, resourceful, and motivated individual looking to develop as a high-performing leader in the aerospace industry, this role may be the perfect opportunity for you. Join our team and contribute to the company's vision of being a global leader in engineering with a strong focus on aircraft product brands.,

As a Corporate HR Intern at Giant Eagle, you will have the opportunity to contribute to the growth and success of the organization. Your role will involve various responsibilities aimed at enhancing the HR processes and documentation within the company. Your primary tasks will include extracting documents from the company HR portal, printing, and filing them efficiently. You will be responsible for developing a classification table that categorizes documents as Primary, Secondary, or Tertiary, and creating simple definitions and processes for tasks such as Collection, Documentation, Retrieval, Control, and Objectives. Additionally, you will review the Giant Eagle handbook, provide feedback for improvements, and schedule discussions with focus groups to gather valuable insights. Your role will also involve devising ways to enhance document tracking, increasing accessibility, and improving branding for better relevance. Furthermore, you will be tasked with creating a Manager Handbook and updating the General Handbook with updated content and design. You will review existing policies and procedures, identify gaps, and work towards simplifying and standardizing them. Your analytical skills will be essential in developing Venn Diagrams to illustrate policy variations across regions and levels. To excel in this role, you should hold an MBA with a specialization in HR and possess basic knowledge of HR tasks. Effective communication, teamwork, attention to detail, and organizational skills are crucial for success in this position. Building trust with colleagues and stakeholders, along with maintaining consistency in policy presentation, will be key aspects of your role as a Corporate HR Intern at Giant Eagle.,