software engineer

analytical r&d analyst

chemical process engineer

research scientist

software engineer ii

applied scientist 4

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;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&rsquo;s why we&rsquo;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&rsquo;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&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 4

EdCEPT LEARNING PRIVATE LIMITED

About the RoleWe are seeking an experienced Excel for Business Analytics with Statistical Concepts Trainer who can deliver engaging and practical training sessions. The trainer will be responsible for equipping learners with essential Excel skills, analytical thinking, and statistical concepts applied in business decision-making.Key Responsibilities<ul><li>Design and deliver training sessions on:</li><li>Advanced Excel functions for data analysis</li><li>Data visualization and reporting</li><li>Business Analytics concepts using Excel</li><li>Statistical methods applied in business problem-solving</li><li>Provide hands-on case studies, exercises, and projects to strengthen learning outcomes.</li><li>Assess learners&rsquo; progress through assignments, quizzes, and feedback sessions.</li><li>Collaborate with academic/corporate teams to align training with industry needs.</li><li>Support learners in applying Excel and statistics to real-world business scenarios.</li></ul>Core Topics to be Covered<ul><li>Excel for Business Analytics</li><li>Data cleaning, sorting, and filtering</li><li>PivotTables &amp; PivotCharts</li><li>What-if analysis, Scenario Manager, Solver</li><li>Functions: VLOOKUP/XLOOKUP, INDEX-MATCH, IF, SUMPRODUCT, TEXT, DATE, etc.</li><li>Dashboards &amp; visualization techniques</li><li>Statistical Concepts in Business</li><li>Descriptive statistics (mean, median, mode, variance, standard deviation)</li><li>Probability distributions</li><li>Hypothesis testing &amp; confidence intervals</li><li>Correlation and regression analysis</li><li>Forecasting and trend analysis</li><li>Business Applications</li><li>Market analysis using Excel</li><li>Sales forecasting models</li><li>Customer segmentation</li><li>Risk analysis and decision-making tools</li></ul>Qualifications &amp; Skills<ul><li>Graduate/Postgraduate in Statistics, Mathematics, Data Science, Business Analytics, or related field.</li><li>Proven experience in training/teaching Excel and statistical analysis.</li><li>Strong command of MS Excel (advanced level) and statistical methods.</li><li>Familiarity with business analytics case studies.</li><li>Excellent communication and presentation skills.</li><li>Ability to simplify complex concepts for learners at different levels.</li></ul>Preferred<ul><li>Certification in Excel, Business Analytics, or Statistics.</li><li>Experience in corporate training or working with educational institutions.</li><li>Knowledge of additional analytics tools (Power BI, Tableau, or Python/R) is a plus.</li></ul>Job Type: Freelance Contract length: 10 daysPay: &#8377;35,000.00 - &#8377;40,000.00 per monthBenefits:<ul><li>Food provided</li></ul>Work Location: In person

Excel with Busness Analytics freelance trainer

<div>
 Exp 3-7 yrs
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop, refine, and implement advanced generative AI models to generate insights from complex structured and unstructured data sets.
 </li>
 <li>
 Collaborate with cross-functional teams to design and deploy generative AI solutions that address business challenges.
 </li>
 <li>
 Fine-tune and build large language models (LLMs) and other generative AI models.
 </li>
 <li>
 Lead the integration of generative AI into business processes, ensuring seamless adoption and implementation.
 </li>
 <li>
 Conduct research to stay current with the latest advancements in generative AI and machine learning.
 </li>
 <li>
 Present findings and strategic recommendations to stakeholders, translating complex technical concepts into actionable insights.
 </li>
 <li>
 Develop white papers, blogs, and presentations to share knowledge and best practices within the organization and with clients. Qualifications:
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Proven experience as a Data Scientist with a focus on generative AI and large language models.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or Java.
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Strong understanding of natural language processing (NLP) and deep learning techniques.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work independently and as part of a team.
 </li>
 <li>
 Strong communication skills, with the ability to present complex information to non-technical stakeholders.
 </li>
 </ul>
</div>

Lead Assistant Manager

TAPI

<div>Company Description 
At TAPI, we&rsquo;re not just a company&mdash;we&rsquo;re a community committed to advancing health from the core. As the world&rsquo;s leading supplier of active pharmaceutical ingredients (APIs), we partner with 80% of the top 50 global pharmaceutical companies. With a legacy spanning over 80 years and a portfolio of more than 350 products, as well as custom CDMO services, we&rsquo;re shaping the future of health worldwide. 
 
Our strength lies in our people&mdash;a team of over 4,200 professionals across 13 state-of-the-art facilities in Italy, Hungary, the Czech Republic, Croatia, Israel, Mexico, and India. Together, we innovate, solve problems, and deliver excellence. Join us and be part of a mission that transforms lives. 
Job Description 
We are seeking an experienced analytical scientist to support method development, validation, and technology transfer activities for pharmaceutical products. The role involves close collaboration with chemical research teams and production sites to ensure analytical excellence and regulatory compliance.
Key Responsibilities:<ul><li>
Develop analytical methods for in-process materials, raw materials, intermediates, and finished products</li><li>
Conduct carryover studies for reagents and genotoxic impurities</li><li>
Perform method validation, equipment cleaning validation, and stability analysis</li><li>
Characterize and isolate impurities and support technology transfer to production</li><li>
Prepare specifications, standard test procedures (STPs), and qualification protocols</li><li>
Provide analytical support to chemical research teams for process development and optimization</li><li>
Maintain the analytical laboratory in compliance with GLP and safety standards</li><li>
Ensure proper documentation in lab notebooks and equipment records as per SOPs</li><li>
Oversee calibration and maintenance of laboratory equipment and consumables</li></ul>
Desired Skills:<ul><li>
Strong understanding of analytical method development and validation practices</li><li>
Familiarity with GLP, safety protocols, and regulatory documentation standards</li><li>
Ability to work collaboratively with cross-functional teams</li><li>
Attention to detail, organizational skills, and a proactive approach to problem-solving</li></ul> 

Qualifications 
The ideal candidate will have:<ul><li>
M.Sc. in Chemistry or M.Pharm with a minimum of 5 years of industrial experience</li><li>
Ph.D. in a relevant field with at least 2 years of experience</li></ul> 

Additional Information 
Make Your Mark with TAPI
Your journey with TAPI is more than a job&mdash;it&rsquo;s an opportunity to make a lasting impact on global health. If you&rsquo;re ready to lead, innovate, and inspire, we&rsquo;re excited to welcome you to our team. Together, let&rsquo;s shape the future of pharmaceuticals. Apply on top of this page and our talent acquisition team will be in touch soon!</div>

Analytical R&D Analyst

EbizON

<div>
 EbizON is looking for a Data Scientiest to join our team in our Noida office. The primary responsibilities of this role include analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. The Data Scientist will also collaborate with cross-functional teams to design and implement predictive models and machine learning solutions.
 
 
 The ideal candidate is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Analysis &ndash; Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation
 </li>
 <li>
 Machine Learning Implementation &ndash; Build and fine-tune models leveraging LLMs, NLP techniques, ASR/TTS outputs, and structured/unstructured datasets to improve conversational understanding and recommendations
 </li>
 <li>
 Experimentation &amp; Evaluation &ndash; Design experiments (A/B tests, user behavior analysis), implement evaluation metrics, and continuously iterate on models to improve performance and engagement
 </li>
 <li>
 Data Integration &ndash; Work with backend teams to integrate ML pipelines into production workflows, APIs, and data stores ensuring robust, scalable data-driven solutions
 </li>
 <li>
 Trust, Privacy &amp; Ethics &ndash; Collaborate with engineering and compliance teams to ensure data pipelines adhere to privacy laws (PII/PHI), encryption standards, and healthcare guidelines (HIPAA/SOC2)
 </li>
 <li>
 Collaboration with Cross-Functional Teams &ndash; Partner with product, clinical, and engineering teams to translate business requirements into data-driven strategies and actionable insights
 </li>
 <li>
 Monitoring &amp; Observability &ndash; Implement monitoring, error tracking, and data quality checks for models in production to ensure reliability and fairness
 </li>
 <li>
 Accessibility &amp; Fairness &ndash; Incorporate accessibility guidelines (ADA/WCAG 2.2), fairness audits, and bias mitigation techniques to ensure inclusive solutions
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 3+ Years Experience in Data Modeling, Machine Learning &amp; AI
 </li>
 <li>
 Machine Learning &amp; AI &ndash; Hands-on experience with NLP pipelines, LLMs, embeddings, intent classification, speech analytics, or recommendation systems
 </li>
 <li>
 Data Engineering &ndash; Skilled in building ETL pipelines, data wrangling, feature extraction, and data visualization from large datasets (structured and unstructured)
 </li>
 <li>
 Statistical Analysis &amp; Experimentation &ndash; Experience in hypothesis testing, A/B experiments, causal inference, or clinical outcome analysis
 </li>
 <li>
 Programming &ndash; Proficiency in Python (Pandas, scikit-learn, TensorFlow/PyTorch), SQL, and APIs for data integration
 </li>
 <li>
 Cloud Infrastructure &ndash; Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker), data lakes, and distributed computing frameworks
 </li>
 <li>
 Security &amp; Privacy &ndash; Understanding of data encryption, secure storage, and compliance frameworks related to PHI/PII
 </li>
 <li>
 Healthcare Domain Knowledge &ndash; Experience with healthcare datasets, patient data, or compliance requirements like HIPAA or SOC2 is preferred
 </li>
 <li>
 Communication &amp; Collaboration &ndash; Ability to explain data-driven insights clearly to non-technical stakeholders, work across product, engineering, and clinical teams
 </li>
 <li>
 Problem Solving &amp; Curiosity &ndash; Strong analytical mindset with a passion for deriving insights from complex data and designing models that drive user experience improvements
 
 
 </li>
 </ul>
 
 About Us:
 
 
 
 We&rsquo;re an international team that specialize in building technology products &amp; then helping brands grow with multi-channel demand generation marketing. We have in-house experience working for Fortune companies, e-commerce brands, technology SaaS companies &amp; VC-funded startups.
 
 
 We have assisted over a dozen billion-dollar companies with consulting, technology, operations, and digital agency capabilities in managing their unique brand online.
 
 
 We have a fun and friendly work culture that also encourages employees personally and professionally.
 
 
 EbizON has many values that are important to our success as a company: integrity, creativity, innovation, mindfulness and teamwork. We thrive on the idea of making life better for people by providing them with peace of mind.
 
 
 The people here love what they do because everyone from management all way down understands how much it means living up close-to someones' ideals which allows every day feel less stressful knowing each person has somebody cheering him.
 
 
 
 Equal Opportunity Employer:
 
 
 
 EbizON is committed to providing equal opportunity for all employees, and we will consider any qualified applicant without regard to race or other prohibited characteristics.
 
 
 
 Flexible Timings:
 
 
 
 Flexible working hours are the new normal.
 
 
 We at EbizON believe giving employees freedom to choose when to work, how to work. It helps them thrive and also balance their life better.
 
 
 
 Global Clients Exposure:
 
 
 
 Our goal is to provide excellent customer service and we want our employees to work closely with clients from around the world. That's why you'll find us working closely with clients from around the world through Microsoft Teams, Zoom and other video conferencing tools.
 
 
 
 Retreats &amp; Celebrations:
 
 
 
 With annual retreats, quarterly town halls and festive celebrations we have a lot of opportunities to get together.
 
 
 Powered by JazzHR
 
 
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</div>

EbizON || Data Scientist || Noida

Resources Global Placement

Job Profile: Purchase Manager (Export Handicraft)Location: Surajpur Site-5, Greater Noida Salary: &#8377;35,000 &ndash; &#8377;40,000 per monthExperience - 4 years minimumKey Responsibilities:<ul><li>Manage end-to-end purchase operations for handicraft &amp; hard goods industry.</li><li>Source, evaluate, and negotiate with suppliers from Muradabad, Saharanpur, and Delhi.</li><li>Develop and maintain strong supplier relationships to ensure timely deliveries and cost efficiency.</li><li>Ensure smooth procurement processes aligned with export business needs.</li><li>Handle vendor evaluation, purchase orders, and documentation in ERP.</li><li>Coordinate with internal teams (production, quality, logistics) to meet order requirements.</li><li>Maintain accurate records of purchases, pricing, and supplier performance.</li></ul>Requirements:<ul><li>Minimum 5 years&rsquo; experience in the handicraft &amp; hard goods industry.</li><li>Strong proficiency in computer applications &amp; ERP systems.</li><li>Proven experience in handling suppliers from Muradabad, Saharanpur, and Delhi.</li><li>Must own a motorcycle for supplier visits and market coordination.</li><li>Excellent negotiation, communication, and vendor management skills.</li><li>Residence in greater noida is mandatory.</li></ul>Qualification (Preferred):<ul><li>Degree in Electrical or Mechanical Engineering</li></ul>Job Types: Full-time, PermanentPay: &#8377;35,000.00 - &#8377;40,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Ability to commute/relocate:<ul><li>Greater Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>HARDGOODS INDUSTRY: 4 years (Required)</li><li>EXPORT HOUSE: 4 years (Required)</li><li>PURCHASE MANAGER: 4 years (Required)</li><li>HANDICRAFT INDUSTRY: 4 years (Required)</li></ul>License/Certification:<ul><li>Driving Licence (Required)</li></ul>Location:<ul><li>Greater Noida, Uttar Pradesh (Required)</li></ul>Work Location: In person

Purchase Manager (Handicraft Industry)

Adobe ColdFusion

<div>
 
 JOB LEVEL
 
 
 
 P30
 
 
 
 EMPLOYEE ROLE
 
 
 
 Individual Contributor
 
 
 Our Company
 
 
 At Adobe, you will be immersed in an outstanding work environment that is recognized around the world. Adobe has been consistently listed as Fortune&rsquo;s &ldquo;100 Best Companies to Work For&rdquo; for 20 consecutive years. You will also be surrounded by colleagues who are dedicated to supporting each other's growth. If you&rsquo;re looking to make a difference, Adobe's the place for you. Learn more about our employees' career experiences on the Adobe Life blog and explore the valuable benefits we provide.
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give global brands everything they need to craft and deliver outstanding digital experiences. We&rsquo;re passionate about redefining how companies connect with customers across every screen.
 
 
 Our goal is to recruit top talent and provide excellent employee experiences that prioritize respect and equal opportunity. We acknowledge that valuable insights can originate from any team member, including yourself.
 
 
 Adobe is seeking a highly motivated and versatile Research Scientist to join our Media and Data Science Research (MDSR) Laboratory in the Digital Experience (DX) business unit. This role provides an outstanding opportunity to engage in world-class research that will craft the future of digital experiences. As a part of our ambitious team, you will work on innovative research problems and implement solutions to redefine how businesses operate. As part of the research team, you will get an opportunity to turn your research ideas into successful products and at the same time, disseminate them at top conferences and journals.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize ML algorithms to address real-world problems in understanding user behavior and generating content to improve marketing performance.
 </li>
 <li>
 Develop scalable synthetic data generation and evaluation techniques.
 </li>
 <li>
 Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources.
 </li>
 <li>
 Train models and run experiments to study data and model quality.
 </li>
 <li>
 Iteratively refine research experiments and clearly communicate insights to the team.
 </li>
 <li>
 Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform.
 </li>
 <li>
 Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding.
 </li>
 <li>
 Quality research work published in top conferences.
 </li>
 <li>
 Hands-on experience and a track record of deploying solutions in production environments.
 </li>
 <li>
 Experience in deriving concrete conclusions and actionable insights from large datasets.
 </li>
 <li>
 Ability to take research risks and solve hard problems independently.
 </li>
 <li>
 BTech (for research associates) or PhD degree or an equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.
 
 
 </li>
 </ul>
 
 You Will Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Are a great teammate who is willing to take on a variety of tasks to ensure the success of the team
 </li>
 <li>
 Have a consistent track record for empirical research, answering complex questions with data.
 </li>
 <li>
 Have experience working in complex technical environments, improving research velocity.
 </li>
 <li>
 Possess a flexible analytic approach that allows for results at varying levels of precision.
 </li>
 <li>
 Have familiarity with relational databases, SQL and large-scale data systems such as Apache Spark.
 
 
 </li>
 </ul>
 
 Internal Opportunities
 
 
 
 Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We&rsquo;re glad that you&rsquo;re pursuing a new opportunity at Adobe!
 
 
 
 Put Your Best Foot Forward
 
 
 
 <ul>
 <li>
 Update your Resume/CV and Workday profile &ndash; don&rsquo;t forget to include your uniquely &lsquo;Adobe&rsquo; experiences and volunteer work.
 </li>
 <li>
 Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you&rsquo;re interested in.
 </li>
 <li>
 Check out these tips to help you prep for interviews.
 </li>
 <li>
 If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity &amp; Payroll.
 
 
 </li>
 </ul>
 Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
 
 
 At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you&rsquo;re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Research Scientist

Explore 40+ Applied scientist 4 in Noida this September. Find roles across top companies and apply now to boost your career.