1646 Clustering Jobs - Page 20

Job Description Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders. Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms. Work hands-on with large datasets: cleaning, transforming, and analysing to extract actionable insights. Collaborate with cross-functional teams including Business, Product, Engineering, and Operations to ensure data science outputs are actionable and aligned with strategic goals. Present findings and recommendations to senior leadership in a clear and compelling manner. Continuously validate and improve models based on real-world feedback and changing business needs. Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc.) extensively for data preparation, model development, deployment, and visualization. Key Skills & Competencies 5+ years of experience in data science, machine learning, or advanced analytics roles. Proficiency in Python for data analysis and machine learning. Strong working knowledge of Microsoft technologies : Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse). Power BI for data visualization (optional). Microsoft SQL Server and Azure SQL Database. Advanced Excel (Power Query, Power Pivot). Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc.) and their real-world trade-offs. Strong business acumen with the ability to contextualize technical outputs into strategic business insights. Excellent communication skills (written and verbal) with the ability to influence decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. (ref:hirist.tech) Show more Show less

Job Title : Senior Database Administrator (DBA) Location : Gachibowli, Hyderabad : 12+ Years Interview Mode : Face-to-Face (F2F) is Type : Full-Time / Permanent Work Mode : On-site Job Summary We are looking for a highly experienced Senior Database Administrator (DBA) with over 12 years of hands-on experience to manage mission-critical database systems. The ideal candidate will play a key role in ensuring optimal performance, security, availability, and reliability of our data infrastructure. Key Responsibilities Design, implement, and manage complex database architectures. Administer, monitor, and optimize large-scale databases (OLTP and OLAP systems). Ensure high availability, failover, replication, and disaster recovery strategies are in place and effective. Conduct performance tuning, query optimization, and capacity planning. Automate database maintenance tasks using scripting languages (Shell, Python, PowerShell, etc.). Lead major database upgrades, migrations, and patching with zero or minimal downtime. Collaborate with DevOps, application, and infrastructure teams to support integration and delivery pipelines. Implement strong database security practices, user roles, and access controls. Maintain up-to-date documentation of database environments and configurations. Mentor junior DBAs and participate in database architecture reviews. Required Skills & Experience 12+ years of solid experience as a Database Expertise in Oracle, MS SQL Server, MySQL, or PostgreSQL databases. Experience in managing cloud-based database platforms (AWS RDS, Azure SQL, or GCP Cloud SQL). Strong knowledge of backup and recovery, replication, and clustering technologies. Proficient in database monitoring tools (e.g., OEM, SolarWinds, Nagios, etc.). Hands-on experience with automation scripts for routine tasks and monitoring. Solid understanding of data privacy, compliance, and audit requirements. Excellent problem-solving and troubleshooting abilities. Strong verbal and written communication skills. Preferred Qualifications Professional certifications (e.g., Oracle OCP, Microsoft Certified DBA, AWS Database Specialty). Experience with NoSQL databases like MongoDB or Cassandra. Exposure to Agile/DevOps environments and CI/CD database automation. Additional Information Location : Gachibowli, Hyderabad (Candidates must be willing to work from office). Interview Mode : Face-to-face interviews are mandatoryno virtual interviews will be conducted. Joining Timeline : Immediate joiners preferred or within 15-30 days (ref:hirist.tech) Show more Show less

Responsibilities Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders. Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms. Work hands-on with large datasets : cleaning, transforming, and analysing to extract actionable insights. Collaborate with cross-functional teams, including Business, Product, Engineering, and Operations, to ensure data science outputs are actionable and aligned with strategic goals. Present findings and recommendations to senior leadership clearly and compellingly. Continuously validate and improve models based on real-world feedback and changing business needs. Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc. ) extensively for data preparation, model development, deployment, and visualization. Requirements 5+ years of experience in data science, machine learning, or advanced analytics roles. Proficiency in Python for data analysis and machine learning. Strong working knowledge of Microsoft technologies : Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse), Power BI for data visualization (optional), Microsoft SQL Server, and Azure SQL Database, Advanced Excel (Power Query, Power Pivot). Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc. ) and their real-world trade-offs. Strong business acumen with the ability to contextualize technical outputs into strategic business insights. Excellent communication skills (written and verbal) with the ability to influence decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. (ref:hirist.tech) Show more Show less

Job Title : Database Administrator Location : Gurugram Job Type : Full-time Job Summary Database Administrator (DBA) with 5-7 years of experience with strong expertise in MS SQL, MySQL and PostgreSQL, with a proven track record in database administration and management. Key Responsibilities Database Administration: Manage, maintain, and optimize MS SQL, MY SQL and PostgreSQL databases to ensure high availability and performance. Performance Monitoring: Continuously monitor database performance and implement tuning measures to enhance efficiency and reliability. Backup and Recovery: Develop and execute comprehensive backup and recovery strategies to safeguard data integrity. Security Implementation: Enforce database security protocols, including user access management and data encryption. Troubleshooting: Identify and resolve database-related issues, including performance bottlenecks and connectivity problems. Required Skills Install, configure and maintain database of MS SQL, MySQL, PostgreSQL etc.. and maintain required documentation. Thorough knowledge of SQL Server configuration, High availability configuration, and setting up the environment Plan, schedule and manage the implementation of new databases and modifications to existing databases in a manner that avoids disruption to production and development systems. Ensure that the database design supports the application requirements, including performance and scalability and is properly configured for optimal performance. Ensure the implementation of solutions for database replication, clustering, and high availability to ensure minimal downtime. Plan and design failover and load balancing for high-availability environments. Expertise in upgrading and migrating databases to Cloud environment Hands on experience in Performance Tuning and Query Optimization and should have good understanding on Indexing, Partitions, and different storage engines available under MySQL Implement backup strategies and ensure backups are performed regularly. Develop and test disaster recovery plans to restore data in case of failure or data corruption. Ensure databases are protected from data loss and downtime. Ensure monitoring database performance and proactively identifying performance issues, Optimize queries, indexes, and database structure to improve performance. Ensure Database Maintenance and regularly perform maintenance tasks such as reindexing, updating statistics, and purging old data. Ensure data integrity through routine checks and troubleshooting data inconsistencies. (ref:hirist.tech) Show more Show less

As the member Data Science, this is your opportunity to be part of a next-gen data science team. As a Junior Data Scientist, youll work across business analytics, data engineering, and advanced modelling projects. You will gain hands-on experience in building clean data pipelines, generating user-level insights, and contributing to models that decode complex consumer behaviour. If you're eager to grow at the intersection of data engineering, analytics, and AI, this role is your launchpad. You will influence strategic decisions, pioneer ground breaking technologies, and deliver insights that empower businesses across industries. If youre a visionary who thrives on solving complex challenges and driving transformative change, this role is your canvas to create, inspire, and lead. What Youll Do Learn, Build, and Apply : Support the development of VTIONs behavioral data models through cleaning, transformation, and feature engineering. Assist in the construction and automation of data pipelines with engineering teams. Engage in business analytics projectstranslating behavioral data into marketing and user insights Bridge Data And Business Deliver exploratory analyses, cohort insights, and trend reports to support strategic decisions. Contribute to real-time dashboards and visualizations for internal and client use (Power BI, Tableau, Plotly). Support Innovation Work on classification, clustering, and segmentation models using Python (Scikit-learn, pandas, NumPy). Collaborate & Evolve Partner with data scientists, engineers, and product teams to deliver scalable solutions. Participate in sprint reviews, brainstorms, and post-analysis reviews to drive learning and iteration. Continuously explore new tools, methods, and technologies to elevate your own practice. What Were Looking For Proven Leadership : 5+ years of experience in data science, with at least 3 years leading high-performing teams. Technical Mastery Python (pandas, NumPy, scikit-learn, matplotlib) SQL for data querying Exposure to cloud platforms (AWS, GCP preferred) Bonus : Familiarity with Git, Airflow, dbt, or vector databases Analytics Mindset Ability to interpret business problems into data questions Understanding of basic statistics, experiment design, and metrics interpretation Curiosity And Drive Eagerness to learn in a dynamic, fast-paced environment Strong communication skills and a collaborative spirit Why Join Us Contribute to real-time, high-impact data applications Be mentored by senior leaders in AI, LLMs, and semantic intelligence Build a career path that spans across analytics, engineering, and research Thrive in a culture that values creativity, continuous learning, and ownership (ref:hirist.tech) Show more Show less

About The Role We're looking for a Senior Data Scientist with hands-on experience in machine learning, GenAI, and cloud platforms to solve real-world problems in the BFSI/Insurance space. You'll work with a collaborative team to build and deploy models that drive business impact - from fraud detection and churn prediction to customer segmentation and unstructured data analysis. What You'll Do Build ML models (XGBoost, Neural Networks, Random Forests) for classification, regression, anomaly detection, and more. Use unsupervised learning techniques for segmentation, clustering, and cohort creation. Apply LLMs and GenAI for insights from unstructured data (e.g., call transcripts, agent notes). Deploy solutions on cloud platforms (preferably AWS) using tools like Databricks, SageMaker, Lambda, Docker, etc. Implement MLOps best practices - versioning, CI/CD, monitoring. Collaborate with business teams to translate models into insights that matter. What You Bring 5+ years of experience in data science roles. 1-2 years working in BFSI or Insurance domain. Proficient in Python, SQL, Databricks. Strong understanding of ML fundamentals including optimization techniques like gradient descent. Experience with GenAI/LLMs (nice to have). Cloud experience (AWS preferred) with exposure to end-to-end model deployment. Great communication skills and a problem-solving mindset. (ref:hirist.tech) Show more Show less

About KnowBe4 KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day. Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work. Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4. Please submit your resume in English. The Cybersecurity Threat Researcher works in the KnowBe4 Threat Research Lab, and is responsible for deploying and configuring various security products and solutions such as endpoint, email, web and network protection. Responsibilities Deploy, configure, maintain various cybersecurity products in a lab environment. This includes endpoint, web, email and network protection products Maintains product inventory such as licenses, updates and multiple versions of the same Recommend solutions for security product deployment and configurations Analysis of PHISHING emails. Analysis of malicious URLs and PHISHING URLs Tracking and identifying new and existing PHISHING campaigns Trend identification for latest phishing emails. Requirements BS or equivalent plus 3 years experience MS or equivalent plus 1 year experience Well versed with IOCs, reverse engineering and threat campaign tracking Experience in malicious URL and phishing Email analysis Script enabled for scripting automations for handling huge volumes of threat artifacts like files, emails, URLs etc Email analysis skills to determine PHISHING, Clean and Spam emails Ability to identify PHISHING email campaigns Ability to work with high volume of emails for accurate email classification Expertise in static and dynamic analysis of URLs and Files Expertise in URL analysis for identification of PHISHING and scam URLs Well versed with creating Yara rules for email grouping and clustering Ability to automate daily email classification through automation and scripting Keep up to date with emerging threats & security technologies Ability to think analytically & work collaboratively Our Fantastic Benefits We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, and a relaxed dress code - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits. Note: An applicant assessment and background check may be part of your hiring procedure. Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation. No recruitment agencies, please. Show more Show less

Job Description Intern, Global Commercial Pharma Pipeline Analytics Our Human Health Digital Data and Analytics team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Internship Program at our company features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Human Health division can provide you with great development and a chance to see if we are the right company for your long-term goals. The program allows students to work on one or more data science projects within our Company's Human Health Commercial division. These opportunities are designed to facilitate the transition from academia to industry for soon-to-be graduates and will involve participation and contribution in real projects being carried out by our company’s data science team. This is also a way for you to identify if our company may be the right company for your long-term career goals. These positions are typically 3-6 months long and have various start dates throughout the year. Most of the projects will involve analyses in support of our company's commercial objectives. Candidates will be responsible for providing analytical and technical support, which includes the collection and analysis of internal and external pharmaceutical data to assist in making meaningful business decisions. Candidates will help to solve novel commercial analytic questions through use of Advanced Analytics (AI/ML). Required Education And Skills Candidates must be currently enrolled in bachelor’s / master’s / PhD degree program in a Quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Economics, Computational Biology, Engineering, Management or other relevant discipline. Candidates must be expected to graduate in the next 1-2 years. Candidates must have fluency in at least one programming environments such as SQL/Python and sound understanding of OOPs Candidates must have familiarity with the basics of data science and advanced statistical methods (clustering, regression, classification, etc.) and ability to determine the correct method for the task or have the willingness to learn the same Candidates must have demonstrated ability to problem solve independently on complex analytical projects Candidates must have an interest in supporting pharmaceutical data and analytics initiatives like segmentation & targeting, digital analytics, big data analytics, patient claims analytics Candidates will be required to serve as a quantitative methodology professional by developing creative analytical solutions and applying appropriate statistical and/or machine learning methodologies to answer novel commercial analytic questions Candidates should be effective oral and written communicators Candidates must be able to strike a balance between methodological rigor and project timelines/deliverables Preferred Experience And Skills Knowledge on MS Office Package - Excel and PPT is must Candidates having experience with one or more of the standard machine learning and data manipulation packages such as scikit-learn/NumPy/Pandas Candidates having familiarity with SQL & databases Redshift/Athena Candidates having familiarity with Natural Language Processing & Large Language Models Planned Learning Experience And Skills To gain experience in healthcare data, insights, and analytics Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic and/or ophthalmology diseases Global market exposure Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Intern/Co-op (Fixed Term) Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/18/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345715 Show more Show less

Job Description Position Overview At our Companywe are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Integrated Research and Forecasting (IRF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products. Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Manager – Strategic Forecasting”. We are looking for a team member within strategic forecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implications to a wide range of disciplines. While forecasting of realistic potential can be arrived through both qualitative and quantitative methods, the challenge lies in selecting and deploying the right methodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc. within forecasting vertical. Primary Responsibilities Include, But Are Not Limited To Responsible for one/multiple therapy areas – demonstrating good pharmaceutical knowledge and project management capability Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques within area of responsibility Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders – our Manufacturing Division, Human Health, Finance, Research, Country, and senior leadership – to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes Qualification And Skills Engineering / Management / Pharma post-graduates with 3+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectively with stakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to Inspire our employees as we learn, develop and grow in our careers. We are proud of our 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Analysis, Marketing, Numerical Analysis, Stakeholder Relationship Management, Strategic Planning, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R337310 Show more Show less

About The Role About The Role JD For Linux: Installation of most common Linux flavors i.e. RHEL, Ubuntu Implementing security measures and patching for OS. Ability to configure and manage SAN boot disk as well as physical servers. Ability to mitigate active system problems by understanding their nature and implementing resolution steps. Understanding of OS, Kernel, network and disk performance is must. Expertise in logical volume manager and filesystem management. Install, Configure, Upgrade Enterprise Automations Client Software and support Level 4 Enterprise Automation Client Software Install, Configure, Upgrade Hardware Monitoring Client Software and support Level 4 Hardware monitoring Client Software Expert in Clustering activities like Redhat, Veritas Cluster Implement security patches - Automated implementation and manual implementation Back out security patches Bundle and perform Level 4 Support Unix Operating system Modify Platform automation and support Script Develop and modify application Failover Scripts

About The Role Job description Job title: Data, Personal Loan Location: Head Office Mumbai Grade M3 Number of Position 1 Job Responsibilities: Monitor portfolio delinquencies at micro level, identification of segments, locations, channels, profiles and proposing policies/ strategies to enable business and control risk Proficient in coding and working experience in creating risk monitoring dashboards like vintage charts, KPIs, business trends, etc. Managing portfolio with data driven insights using Demog and Bureau data and recommend necessary alteration in policy when required Experience on creating features using bureau/demog/banking variables and creating insights Handled cross functional projects to develop new product/program Knowledge about policy framework pertaining to personal loan product/Unsecured product Monitoring loss in the business in different segments and highlight the reason for breach in threshold if any. Automating crucial reports, testing and verifying the correctness of the same. Co-ordinating with different stockholder for risk and policy related data and recommendation. Job Requirements: Minimum 3-8 year of experience Work experience with MNC on risk/data analytics field is preferable Proficiency in SAS/Python/DEX for risk management and policy implementation. Ability to debug, troubleshoot and resolve issues related to risk and policy. Use analytical skill to identify root causes of problem and recommend effective solution. Experience in creating features and running decision tree/cluster analysis to identify segments will be an added advantage. Good problem solving skills and clear communicator. Education qualification: Btech or Grad/Post Grad in statistics - Preferred Certification in coding languages like SAS/SQL/Python Preferred

IntraEdge is looking for BigData Engineers/developers who will work on the collecting, storing, processing, and analyzing of huge sets of data. One will also be responsible for integrating them with the architecture used across the company. Responsibilities- Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities. Partners with architects and other senior leads to address the data needs Partners with Data Scientists and product teams to build and deploy machine learning models that unlock growth Build custom integration and data pipelines between cloud-based systems using APIs Write complex and efficient code to transform raw data sources into easily accessible models by coding several languages such as Python, Scala or SQL . Design, develop and test a large-scale, custom-distributed software system using the latest Java, Scala and Big data technologies. Actively contribute to the technological strategy definition (design, architecture and interfaces) in order to effectively respond to our client's business needs Participate in technological watch and the definition of standards to ensure that our systems and data warehouses are efficient, resilient and durable Experienced in using Informatica or similar products, with an understanding of heterogeneous data replication techniques Build data expertise and own data quality for the pipelines you create. Skills and Qualifications- Bachelor/Masters degree in Computer Science, Management of Information Systems or equivalent. 4 or more years of relevant software engineering experience ( Big Data: Hive, Spark, Kafka, Cassandra, Scala, Python, SQL ) in a data-focused role. Experience in GCP Building batch/streaming ETL pipelines with frameworks like Spark, Spark Streaming and Apache Beam and working with messaging systems like Pub/Sub and Kafka . Working experience with Java tools or Apache Camel. Experience in designing and building highly scalable and reliable data pipelines using Big Data ( Airflow, Python, Redshift/Snowflake ) Software development experience with proficiency in Python, Java, Scala or another language. Good knowledge of Big Data querying tools, such as Hive, and experience with Spark/PySpark Good knowledge of SQL, Good Knowledge of Python Ability to analyse and obtain insights from complex/large data sets Design and develop highly performing SQL Server database objects Experience- 5-10 Years Notice period- Serving NP/Immediate joiners/Max 30 days Location- Gurugram/Bangalore/Pune/Remote Salary- Decent hike on Current CTC

Jubilant Bhartia Group Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees. About Jubilant Ingrevia Limited Jubilant Ingrevia is a Global Integrated Life Science Products & Innovative Solutions provider serving, Pharmaceutical, Agrochemical, Nutrition, Consumer and Industrial customers with our customised products & solutions that are innovative, cost effective and conforming to premium quality standards. Ingrevia is born out of a union of “Ingre” denoting Ingredients & “vie” in French meaning Life (i.e. Ingredients for Life) Jubilant Ingrevia history goes back to 1978 with the incorporation of VAM Organics Limited, which later became Jubilant Organosys and then Jubilant Life Sciences and now demerged to an independent entity as Jubilant Ingrevia Limited, which is listed in both the stock exchanges of India. Over the years, company has developed global capacities and leadership in chosen business segments. We have more than 40 years of experience in Life Science Chemicals, 30+ years of experience in Pyridine Chemistry and value added Specialty Chemicals, and 20+ years of experience in Vitamin B3, B4 and other Nutraceutical products. We have strategically segmented our business into three Business Segments as explained below. We are rapidly growing the revenue in all the three segments. Speciality Chemicals Segment : We propose to launch a new platform of Diketene & its value-added derivatives, forward integrate our crop protection chemicals to value-added agrochemicals (Herbicides, Fungicides & Insecticides) by adding new facilities. We are an established ‘partner of choice’ in CDMO, with more Invest plans in GMP & Non-GMP multi-product facility for Pharma & Crop Protection customers. Nutrition & Health Solutions Segment : We propose to expand the existing capacity of Vitamin B3 to continue being one of the market leaders and introduce new branded animal as well as human nutrition and health premixes. Chemical Intermediates Segment : We propose to expand our existing acetic anhydride capacity and add value added anhydrides and aldehydes and enhance volumes in speciality ethanol. We have 5 world-class manufacturing facilities i.e. One in UP at Gajraula, Two in Gujarat at Bharuch and Baroda, Two in Maharashtra at Nira and Ambernath . We operate 61 Plants across these 5 sites giving is multi-plant and multi-location advantage. Find out more about us at www.jubilantingrevia.com The Position Organization- Jubilant Ingrevia Limited Designation - Data Scientist Location- Noida. Job Summary: - Plays a crucial role in helping businesses make informed decisions by leveraging data & will c ollaborate with stakeholders, design data models, create algorithms, and share meaningful insights to drive business success Key Responsibilities. Work with supply chain, manufacturing, Sales managers, customer account managers and quality function to produce algorithms. Gathering and interpreting data from various sources. Cleaning and verifying the accuracy of data sets to ensure data integrity. Developing and implementing data collection systems and strategies to optimize efficiency and accuracy. Applying statistical techniques to analyze and interpret complex data sets. Develop and implement statistical models for predictive analysis. Build and deploy machine learning models to solve business problems. Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively. Develop dashboards and reports for ongoing monitoring and analysis. Create, modify and improve complex manufacturing schedule. Create scenario planning model for manufacturing, develop manufacturing schedule adherence probability model. Regularly monitoring and evaluating data quality, making recommendations for improvements as necessary, ensuring compliance with data privacy and security regulations. Person Profile . Qualification - B.E/M.Sc Maths/Statistics. Experience - 2-5 Yrs. Desired Skills Desired Skills & Must Have - 2-5 years of relevant experience in chemical/ manufacturing industry. Hands on Generative AI. Exposure to Agentic AI Proficiency in data analysis tools such as Microsoft Excel, SQL, and statistical software (e.g., R or Python). Proficiency in programming languages such as Python or R. Expertise in statistical analysis, machine learning algorithms, and data manipulation. Strong analytical and problem-solving skills with the ability to handle complex data sets. Excellent attention to detail and a high level of accuracy in data analysis. Solid knowledge of data visualization techniques and experience using visualization tools like Tableau or Power BI. Strong communication skills to present findings and insights to non-technical stakeholders effectively Knowledge of statistical methodologies and techniques, including regression analysis, clustering, and hypothesis testing. Familiarity with data modeling and database management concepts. Experience in manipulating and cleansing large data sets. Ability to work collaboratively in a team environment and adapt to changing priorities. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data engineering and database technologies. Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances Show more Show less

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Job Title: Data Scientist – Data and Artificial Intelligence Location: Hyderabad Job Type: Full-time Company Description Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, and Cyber Security. We help businesses unlock the full potential of these technologies to achieve their goals and gain a competitive edge. Our unique approach focuses on delivering value through bespoke solutions tailored to customer specific needs. We are driven by a customer-centric mindset and committed to delivering continuous value through intellectual property accelerators and automation. Our team of experts is passionate about technology and dedicated to making a positive impact. We foster an environment of growth and innovation, constantly pushing the boundaries to deliver exceptional results. Website: www.qylis.com, LinkedIn: www.linkedin.com/company/qylis Job Summary We are an engineering organization collaborating directly with clients to address challenges using the latest technologies. Our focus is on joint code development with clients' engineers for cloud-based solutions, accelerating organizational progress. Working with product teams, partners, and open-source communities, we contribute to open source, striving for platform improvement. This role involves creating impactful solution patterns and open-source assets. As a team member, you'll collaborate with engineers from both teams, applying your skills and creativity to solve complex challenges and contribute to open source, while fostering professional growth. Responsibilities Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for global cloud business by using statistical and machine learning techniques. Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development. Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize data science model code for distributed computing platforms and task automation. Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigour by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Qualifications M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field 7+ years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel). Prior experience working on Computer Vision Project is an Add on Knowledge on AWS and Azure Cloud. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences. Skills:- Python, FastAPI, Large Language Models (LLM) tuning and MySQL Show more Show less

The Purpose of the role We are seeking a full stack data scientist in Advanced Analytics team, who will be at the forefront of developing new innovative data driven solutions with bleeding edge machine learning and AI solution end to end. AIML Data Scientist is a technical job that uses AI & machine learning techniques to automate underwriting processes, improve claims outcomes and/or risk solutions. This person will develop vibrant data science solutions which require data engineering, AlML algorithms and Ops engineering skills to develop and deploy it for the business. Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages. Responsibilities Work with business partners globally, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model. Use broad spectrum of Machine Learning, text and image AI models to extract impactful features from structured/unstructured data. Develop and implement models that help with automating, getting insights, make smart decisions; Ensure that the model is able to meet the desired KPIs post-production. Develop and deploy scalable and efficient machine learning models. Package and publish codes and solutions in reusable format python package format- (Pypi, Scikit-learn pipeline,..) Keep the code ready for seamless building of CI/CD pipelines and workflows for machine learning applications. Ensure high quality code that meets business objectives, quality standards and secure web development guidelines. Building reusable tools to streamline the modeling pipeline and sharing knowledge Build real-time monitoring and alerting systems for machine learning systems. Develop and maintain automated testing and validation infrastructure. Troubleshoot pipelines across multiple touchpoints like CI Server, Artifact storage and Deployment cluster. Implement best practices for versioning, monitoring and reusability. Requirements Sound understanding of ML concepts, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks, deep learning models, OpenCV, Bert and new transformer models for NLU, LLM application in ML> Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes). 4-6 years of experience in delivery end to end data science models. Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn). Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must. Building python wheels and debugging build process. Data pipeline building and debugging (by creating and following log traces). Basic knowledge of DevOps practices. Concepts of Unit Testing and Test-Driven development. SDE skills like OOP and Functional programming are an added advantage. Experience with Databricks and its ecosystem is an added advantage. analytics/statistics/mathematics or related domain. Show more Show less

Overview As Sales Sr. Mgr, own planogram delivery for AMESA perfect store & lead a team of POG analysts supporting AMESA sector (perfect store + catman POG services). Ensure that exceptional leadership & operational direction is provided by his/her analysts team to AMESA sales employees across multiple teams and markets. Ensure that his/her Planogram Analysts deliver visually appealing planograms based on store clustering, space definitions and defined flow. Work closely with AMESA sector, BU & category management teams to ensure planograms meet approved parameters. Implement operational practices to ensure accurate & on-time delivery of planograms (i.e. ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics). Continuously identify opportunities and implement processes to improve service delivery (output quality & timeliness) and develop process efficiency through automation. Lead global stakeholder engagement & build trusted relationships to strengthen total team partnership. Demonstrate strong team & talent management practices including hiring, staffing, performance management & career development for his/her team. Responsibilities Functional responsibilities - Execution (50%) + People Leadership (50%) Execution responsibilities: Be a single point of contact for AMESA perfect store processes by mastering PEP Process and Category knowledge. Partner with Category Manager / KAM’s to build business context and create effortless partnership to tailor deliverables according to market needs. Own accurate & on-time delivery of AMESA Perfect Store POG processes through effective project management, strong learnability & attention to detail. Drive continuous improvement through process streamlining/automation. Gain in-depth knowledge of PepsiCo business, categories, products, tools and share new learnings with the AMESA POG team on a continual basis to enhance range and space deliverables for AMESA. People leadership responsibilities: Head the AMESA DX POG team (perfect store + catman) and ensure efficient, effective and comprehensive support of the sales employees across multiple teams and markets. Work closely with AMESA sector, BU & Category Management teams to ensure planogram meet approved parameters. Implement planogram quality control practices ensuring all planograms meet assortment requirements, visual appeal, innovation opportunities and shelving metrics. Lead workload forecasting and effectively drive prioritization conversation to support capacity management. Implement operational controls to track progress, monitor progress & control risks. Strong stakeholder engagement to elevate team collaboration, contribution & communication. Drive process efficiencies through process streamlining and/or automation. Build stronger business context and elevate the teams capability from execution focused to end to end capability focused. Scale-up operations in-line with business growth, both within existing scope, as well as new areas of opportunity Create an inclusive and collaborative environment Partner with global teams to define strategy for End to End execution ownership and accountabitity. Responsible for hiring, talent assessment, competency development, performance management, productivity improvement, talent retention, career planning and development Qualifications 10+ years of experience in retail/merchandizing experience (inclusive of JDA) Bachelor’s in commerce/business administration/marketing, Master’s degree is a plus Advanced level skill in Microsoft Office, with demonstrated advanced Excel skills necessary Experience with analyzing and reporting data to identify issues, trends, or exceptions to drive Advanced knowledge and experience of space management technology platform JDA (5 years) Propensity to learn PepsiCo software systems and ability to provide superior customer service Best-in-class time management skills, ability to multitask, set priorities and plan Show more Show less

AIX is the leading open standards-based UNIX operating system from IBM that provides scalable, secure, and robust infrastructure solution for enterprise customers. As an Engineering Manager for AIX Operating Systems , you will be responsible to Lead a team of highly skilled system software developers in designing, implementing, and supporting new enhancements, performance optimizations, scaling, and new hardware enablement for AIX core components. Define and drive the technical roadmap for AIX Operating System development, aligning with the overall product strategy, and adhere to the development process, ensuring high-quality code and deliverables by managing the overall development lifecycle. Collaborate with cross-functional teams, including hardware, software, and QA/test teams, to ensure seamless integration of Operating System components, and work with product managers, senior leaders, and customers to understand business needs and implement them in AIX Operating System. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Bachelor's/Master’s Degree in Computer Science or a related technical discipline with experience in system software product development with C and Unix/Linux. 15+ years technical engineering experience including 5+ years of technical leadership/management experience. Possess expertise in Operating System internals – Device Drivers, Kernel, Networking, Security, File Systems, High Availability, Clustering and Virtualization. Strong leadership and team management skills, with the ability to motivate and inspire a team of developers. Excellent communication and collaboration skills, with the ability to work effectively across teams. Proven Interpersonal soft, oral, and written communication skills. Preferred technical and professional experience Strong technical background with hands-on experience in C programming and low-level programming using Linux-based operating systems. Prior Operating System development experience in UNIX (HP UX, Solaris, AIX) or Linux Operating systems.

Job Description As a member of the Support organization, your focus is to deliver post-sales support and solutions to the Oracle customer base while serving as an advocate for customer needs. This involves resolving post-sales non-technical customer inquiries via phone and electronic means, as well as, technical questions regarding the use of and troubleshooting for our Electronic Support Services. A primary point of contact for customers, you are responsible for facilitating customer relationships with Support and providing advice and assistance to internal Oracle employees on diverse customer situations and escalated issues. Highly Skilled and extensive experience in Oracle RAC 19c , ASM Data Guard, RMAN, DR drill, OEM Education : bachelor’s degree in computer science, Information Technology, or a related field. Advanced certifications in Oracle (e.g., Oracle DBA OCP, OCM) are a plus. Experience : Minimum of 15 years of experience in Oracle database administration, with at least 3 years in a team lead or supervisory role. Strong hands-on experience with Oracle database versions (12c, 19c, or later) in enterprise environments. Deep understanding of database architecture, data modeling, performance tuning, high availability, and disaster recovery. Proven experience in managing large-scale databases, including clustering (RAC), data guard, and replication technologies. Technical Skills: Proficiency in Oracle SQL, PL/SQL, and scripting languages (e.g., Shell, Python, PowerShell). Strong knowledge of Oracle tools (e.g., RMAN, Oracle Enterprise Manager, Data Pump, GoldenGate). Familiarity with cloud-based Oracle services (e.g., Oracle Cloud Infrastructure, Autonomous Database). Experience with database monitoring, performance tuning, and troubleshooting tools. Team Leadership & Management: Lead, mentor, and manage a team of Oracle DBAs, providing guidance and support in database administration, troubleshooting, and performance tuning. Define clear goals, objectives, and KPIs for the team to ensure high performance and alignment with organizational priorities. Conduct regular performance reviews and provide professional development opportunities for team members. Foster a culture of collaboration, accountability, and continuous learning within the team. Database Administration: Oversee the installation, configuration, and maintenance of Oracle database systems, ensuring high availability, security, and performance. Manage backups, recovery, patch management, and ensure that databases are operating efficiently and securely. Proactively monitor database health and performance, identifying issues before they impact business operations. Perform database tuning and optimization to enhance system performance and reduce downtime. Incident & Problem Management: Act as an escalation point for complex database issues, providing troubleshooting expertise and resolving incidents quickly. Develop and implement disaster recovery plans and ensure their effectiveness during drills or actual events. Perform root cause analysis on recurring database issues and implement long-term solutions. Documentation & Reporting: Maintain accurate documentation on database configurations, architecture, procedures, and operational best practices. Provide regular reports to senior management on database health, performance metrics, and any major issues or risks. Career Level-IC4 Career Level - IC4 Responsibilities As an Advisory Systems Engineer, you are expected to be an expert member of the problem-solving/avoidance team and be highly skilled in solving extremely complex (often previously unknown), critical customer issues. Performing the assigned duties with a high level of autonomy and reporting to management on customer status and technical matters on a regular basis, you will be expected to work with very limited guidance from management. Further, the Advisory Systems Engineer is sought by customers and Oracle employees to provide expert technical advice. Highly Skilled and extensive experience in Oracle RAC 19c , ASM Data Guard, RMAN, DR drill, OEM Education : bachelor’s degree in computer science, Information Technology, or a related field. Advanced certifications in Oracle (e.g., Oracle DBA OCP, OCM) are a plus. Experience : Minimum of 15 years of experience in Oracle database administration, with at least 3 years in a team lead or supervisory role. Strong hands-on experience with Oracle database versions (12c, 19c, or later) in enterprise environments. Deep understanding of database architecture, data modeling, performance tuning, high availability, and disaster recovery. Proven experience in managing large-scale databases, including clustering (RAC), data guard, and replication technologies. Technical Skills: Proficiency in Oracle SQL, PL/SQL, and scripting languages (e.g., Shell, Python, PowerShell). Strong knowledge of Oracle tools (e.g., RMAN, Oracle Enterprise Manager, Data Pump, GoldenGate). Familiarity with cloud-based Oracle services (e.g., Oracle Cloud Infrastructure, Autonomous Database). Experience with database monitoring, performance tuning, and troubleshooting tools. Team Leadership & Management: Lead, mentor, and manage a team of Oracle DBAs, providing guidance and support in database administration, troubleshooting, and performance tuning. Define clear goals, objectives, and KPIs for the team to ensure high performance and alignment with organizational priorities. Conduct regular performance reviews and provide professional development opportunities for team members. Foster a culture of collaboration, accountability, and continuous learning within the team. Database Administration: Oversee the installation, configuration, and maintenance of Oracle database systems, ensuring high availability, security, and performance. Manage backups, recovery, patch management, and ensure that databases are operating efficiently and securely. Proactively monitor database health and performance, identifying issues before they impact business operations. Perform database tuning and optimization to enhance system performance and reduce downtime. Incident & Problem Management: Act as an escalation point for complex database issues, providing troubleshooting expertise and resolving incidents quickly. Develop and implement disaster recovery plans and ensure their effectiveness during drills or actual events. Perform root cause analysis on recurring database issues and implement long-term solutions. Documentation & Reporting: Maintain accurate documentation on database configurations, architecture, procedures, and operational best practices. Provide regular reports to senior management on database health, performance metrics, and any major issues or risks. Career Level-IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Tech Support Practitioner, you will act as the ongoing interface between the client and the system or application. You will be dedicated to quality, using exceptional communication skills to keep our world-class systems running. With your deep product knowledge, you will accurately define client issues and design resolutions. Your typical day will involve troubleshooting client issues, providing technical support, and collaborating with cross-functional teams to ensure smooth operations. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Ensure timely resolution of client issues and technical support. - Collaborate with cross-functional teams to troubleshoot and resolve complex technical problems. - Manage and prioritize multiple tasks to meet client expectations. - Continuously improve product knowledge and stay updated with the latest industry trends. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full-time education is required. 15 years full time education Show more Show less

We are looking for a highly skilled and experienced Data Scientist with astrong specialization in Natural Language Processing (NLP)andOpenCV. If you don't have experience in NLP and OpenCV, do not applyWe need someone who is well-versed indeep learning, machine learning, and canbuild, deploy, and optimize modelsthat solve real-world problems using both text and image data. Responsibilities Develop and deploy NLP solutions for business needs, including text classification, sentiment analysis, and text generation. Leverage OpenCV for computer vision tasks like image processing and object detection. Build and optimize machine learning models with real-world data, ensuring high accuracy and performance. Collaborate with cross-functional teams to design and deploy solutions and work with cloud platforms to integrate models into production environments. Requirements Proven experience in text analysis(classification, sentiment analysis, and text generation) using frameworks like spaCy, NLTK, GPT, and BERT. Deep knowledge of OpenCV for image data processing, feature extraction, and computer vision applications. Solid experience in Python and its libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch. Strong experience in machine learning algorithms (e. g., regression, clustering, classification) and deep learning techniques. Experience deploying models using cloud platforms(Microsoft Azure, AWS) and ensuring smooth integration into live environments. Must be able to work with large datasets and optimize the performance of machine learning models. Desired Skills Expertise in NLP and OpenCV applications. Deep experience with machine learning and deep learning frameworks. Proven ability to work with large-scale datasets. Cloud deployment experience(Azure, AWS, etc. ). Excellent communication skills to articulate technical concepts to non-technical stakeholders. This job was posted by Bhawana Pradhan from SimplyPhi. Show more Show less

Job Title: AI/ML Engineer Location: Pune, India About the Role: We’re looking for highly analytical, technically strong Artificial Intelligence/Machine Learning Engineers to help build scalable, data-driven systems in the digital marketing space. You'll work alongside a top-tier team on impactful solutions affecting billions of users globally. Experience Required: 3 – 7 years Key Responsibilities: Collaborate across Data Science, Ops, and Engineering to tackle large-scale ML challenges. Build and manage robust ML pipelines (ETL, training, deployment) in real-time environments. Optimize models and infrastructure for performance and scalability. Research and implement best practices in ML systems and lifecycle management. Deploy deep learning models using high-performance computing environments. Integrate ML frameworks into cloud/distributed systems. Required Skills: 2+ years of Python development in a programming-intensive role. 1+ year of hands-on ML experience (e.g., Classification, Clustering, Optimization, Deep Learning). 2+ years working with distributed frameworks (Spark, Hadoop, Kubernetes). 2+ years with ML tools such as TensorFlow, PyTorch, Keras, MLlib. 2+ years experience with cloud platforms (AWS, Azure, GCP). Excellent communication skills. Preferred: Prior experience in AdTech or digital advertising platforms (DSP, Ad Exchange, SSP). Education: M.Tech or Ph.D. in Computer Science, Software Engineering, Mathematics, or a related discipline. Why Apply? Join a fast-moving team working on the forefront of AI in advertising. Build technologies that impact billions of users worldwide. Shape the future of programmatic and performance advertising. Show more Show less

The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value. The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value. Zafin is privately owned and operates out of multiple global locations including North America, Europe, and Australia. Zafin is backed by significant financial partners committed to accelerating the company's growth, fueling innovation and ensuring Zafin's enduring value as a leading provider of cloud-based solutions to the financial services sector. Zafin is proud to be recognized as a top employer. In Canada, UK and India, we are certified as a "Great Place to Work". The Great Place to Work program recognizes employers who invest in and value their people and organizational culture. The company's culture is driven by strategy and focused on execution. We make and keep our commitments. What is the opportunity? Reporting to the Senior Vice President, the Senior Technology and Integration Services, the Integration Consultant will work in multiple client-facing projects to enable SaaS onboarding. You will act as the technical go-to person for SaaS onboarding and a thought leader on Zafin integration paradigms and its best practices across multiple cloud platforms. You will have ample opportunities to field your best communication, technical, and organizational skills to take a SaaS project from initiation to go-live. You will represent client interests internally to enhance process, product, documentation, and delivery experience. You will interact with senior technical leaderships on the client-side and present and align them with solution approaches. You will interact with multiple internal stakeholders to achieve alignment across various project goals and delivery targets. Location: India . What will you do? Interact and collaborate with customers and partners to define the integration landscape. Define the logical sequence of integration activities for a SaaS onboarding project. Coordinate with the product development team to implement recommended integration strategies. Improve overall project delivery experience and go-live time by improving process and documentation. Support cloud infrastructure and system components required for integration. Lead the identification, isolation, resolution, and communication of issues within a client environment. What do I need to succeed? Must have: Worked on at least one end to end SaaS implementation project. 4 to 6 years of application and data integration experience. Experience with clustering and high availability configurations. Agile experience. Designed an end-to-end scalable microservices-based integration solution. Broad exposure to different technology stacks involved in a SaaS delivery model. Broad and in-depth knowledge of: Microservices design patterns , service orchestration, and inter-service communication (REST, gRPC, message queues). data integration concepts and tools network protocol stacks and related integration paradigms security postures in integration technology stacks API design and API based integration Azure , AWS and GCP public cloud platforms and provided services and their integration approaches Integration frameworks used by SaaS Strong knowledge and experience with the Kafka Connect Framework including working with multiple connector types: HTTP, RESTful APIs, JMS. Skilled technical documenter. Solution designer at heart. Experience in using modeling tools to create effective architecture views. Strong organizational, analytical, critical thinking, and debugging skills. Excellent communication skills. Ability to break down complex technical and functional requirements and effectively articulate / communicate them to different stakeholders involved in a project. Self-starter willing to get involved in all aspects of solution delivery including implementation and process improvement. Broad picture minded - one who sees the end-to-end solution of a project. Nice to have: Domain knowledge of banking and financial institutions and/or large enterprise IT environment. Strong delivery experience with geographically distributed delivery and client teams. Strong knowledge and hands-on experience with setting up and configuration of Kafka brokers. What's in it for you? If you work with us, we expect you'll show the spirit, drive, and intellect that makes you great. We offer a challenging, team-oriented work environment, competitive remuneration and benefits, and excellent opportunities for professional and personal growth. If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at Zafin. Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Zafin is committed to protecting both the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods in which Zafin collects, uses, stores, handles, retains or discloses applicant information can be accessed by reviewing Zafin's privacy policy at https://zafin.com/privacy/. What's in it for you Joining our team means being part of a culture that values diversity, teamwork, and high-quality work. We offer competitive salaries, annual bonus potential, generous paid time off, paid volunteering days, wellness benefits, and robust opportunities for professional growth and career advancement. Want to learn more about what you can look forward to during your career with us? Visit our careers site and our openings: zafin.com/careers Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin's privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice. Show more Show less

About Us Evangelist Apps is a UK-based custom software development company specializing in full-stack web and mobile app development, CRM/ERP solutions, workflow automation, and AI-powered platforms. Trusted by global brands like British Airways, Third Bridge, Hästens Beds, and Duxiana, we help clients solve complex business problems with technology. We’re now expanding into AI-driven services and are looking for our first Junior AI Developer to join the team. This is an exciting opportunity to help lay the groundwork for our AI capabilities. Role Overview As our first Junior AI Developer, you’ll work closely with our senior engineers and product teams to research, prototype, and implement AI-powered features across client solutions. You’ll contribute to machine learning models, LLM integrations, and intelligent automation systems that enhance user experiences and internal workflows. Key Responsibilities Assist in building and fine-tuning ML models for tasks like classification, clustering, or NLP Integrate AI services (e.g., OpenAI, Hugging Face, AWS, or Vertex AI) into applications Develop proof-of-concept projects and deploy lightweight models into production Preprocess datasets, annotate data, and evaluate model performance Collaborate with product, frontend, and backend teams to deliver end-to-end solutions Keep up to date with new trends in machine learning and generative AI Must-Have Skills Solid understanding of Python and popular AI/ML libraries (e.g., scikit-learn, pandas, TensorFlow, or PyTorch) Familiarity with foundational ML concepts (e.g., supervised/unsupervised learning, overfitting, model evaluation) Experience with REST APIs and working with JSON-based data Exposure to LLMs or prompt engineering is a plus Strong problem-solving attitude and eagerness to learn Good communication and documentation skills Nice-to-Haves (Good to Learn On the Job) Experience with cloud-based ML tools (AWS Sagemaker, Google Vertex AI, or Azure ML) Basic knowledge of MLOps and deployment practices Prior internship or personal projects involving AI or automation Contributions to open-source or Kaggle competitions What We Offer Mentorship from experienced engineers and a high-learning environment Opportunity to work on real-world client projects from day one Exposure to multiple industry domains including expert networks, fintech, healthtech, and e-commerce Flexible working hours and remote-friendly culture Rapid growth potential as our AI practice scales Show more Show less