Service Delivery Consultant Gain What Makes Us, Us Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US Senior Service Delivery Consultants are skilled senior professionals who form part of our SaaS operations team working within Customer Services and based within the Global SaaS operations team. The main purpose of the role is to contribute to the effective support and maintenance of SimCorp clients and to all aspects of service delivery around SimCorp Products. Senior Service Delivery Consultants support our clients by providing solutions and deploying services related to the usage of SimCorp Products and beyond. They work closely with local and global teams within SimCorp. They coach or instruct less experienced professionals. What You Will Be Responsible For Analyses problems and issues which occur in SimCorp Data Management Solution at existing clients collaboratively to provide convincing and timely solutions to our clients, with guidance only on unusual and very complex situations. Co-operate closely with SimCorp developers to combine business and technical know- how in analyzing client issues and requirements to provide optimal solutions both from a business and technical perspective. Advise and service our clients with support by providing solutions related to the usage of SimCorp Data Management Solution and beyond with regard to business-related, technical or legal requirements to ensure that the clients use SimCorp Data Management Solution in an optimal, future-oriented way. Provide convincing and effective solutions, always considering maintenance efficiency and revenue to support SimCorp business goals Identify and implement improvements and automation of daily operational service tasks, optimize technical performance and enable scaling. Establish and maintain a network at several levels at the clients incl. management and be regarded as a trusted advisor by the client to encourage a mutually beneficial partnership long-term Deliver consultancy and support jointly on a wide range of topics onsite at the client and resolve issues in new areas of expertise to provide ad-hoc answers and solutions Implement or change functionality in SimCorp Data Management Solution mainly for existing customers, for instance working on Change requests and configuration optimization on a wide range of topics also resolving issues in new topics to cover our clients’ demand for additional, value-adding functionality Plan and conduct the technical or non-technical part of software upgrades for SimCorp Data Management Solution and support release tests to ensure a smooth transition to the latest version of the product. Co-operate closely with other professionals within SimCorp on a local or global level by way of specialist roles (such as lead or membership in domain teams or local professional committees as well as service ownership) to share knowledge and ensure efficient solutions for the clients Conduct training or ad-hoc coaching to transfer knowledge and further develop training material to ensure the clients use the software in an optimal way Act as a coach or mentor and review work of others. Assist others regarding general practices and procedures within own field What We Value Most importantly, you can see yourself contributing and thriving in the position described above. How you gained skills needed for doing that is less important. We expect you to be good at several of the following and be able to and interested in understanding the rest. Experience with operating standard applications, especially in the financial sector, troubleshooting, resolving issues, or being an SME for application usage. Experience in working in a larger IT department, operational Team or Application support on L2 or L3 levels or experience in implementation projects of new software into large organizations. Technical skills, Examples: PL/SQL scripting, XML/XSL, json/yaml, Powershell scripting or similar scripting language, Experience of working in a ticketing tool or application handling user tickets, SLA's, incidents. Knowledge of Cloud operations (AWS, Azure) Basic business understanding of Financial Data Management (reference data, portfolio pricing, corporate actions) Experience in maintenance of SimCorp Data Management Solution (Formerly GAIN product) Education in Computer Science, Mathematics, Physics, Business Administration, or similar academic background and fluency in English. Analytical skills Good interpersonal skills and a secure approach Good communication and presentation skills including listening skills Observant demeanor and a focus on problem solving Diligent, committed and committed to teamwork Benefits At SimCorp, we believe in rewarding and supporting our employees. We offer a attractive salary package, including a robust bonus scheme, comprehensive healthcare (medical insurance, pension plans, and free transportation), and a major emphasis on work-life balance with flexible work hours and a hybrid work model. We are proud to be recognized as a "Great Place to Work" and are committed to encourage individual growth with personalized development plans and opportunities for career advancement. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually . Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non- professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com) , Talent Acquisition Partner, at email address. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. Who We Are For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to[1]back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. Show more Show less

Position Summary... What you'll do... Role: Staff, Data Scientist Experience: 8- 15 years Location: Chennai About EBS team: Enterprise Business Services is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, Associate Digital Experience. Our team is responsible for design and development of solution that knows our consumers needs better than ever by predicting what they want based on unconstrained demand, and efficiently unlock strategic growth, economic profit, and wallet share by orchestrating intelligent, connected planning and decisioning across all functions. We interact with multiple teams across the company to provide scalable robust technical solutions. This role will play crucial role in overseeing the planning, execution and delivery of complex projects within team Walmarts Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. About Team The data science team at Enterprise Business Services Pillar at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations ; our associates, helping Customers Save Money to Live Better. What You Will Do As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail ; Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Closely partners with the Senior Manager ; Director of Data Science to drive data science adoption in the domain Guides. data scientists, senior data scientists ; staff data scientists across multiple sub-domains to ensure on-time delivery of ML products Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Drive synergies across different products in terms of algorithmic innovation and sharing of best practices. Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives What You Will Bring Masters with > 10 years OR Ph.D. with > 8 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Minimum 6 years of experience as a data science technical lead Ability to lead multiple data science projects end to end. Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization Deep experience in simultaneously leading multiple data science initiatives end to end – from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation ; Gen-AI In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Ability to scale and deploy data science solutions. Strong Experience with one or more of Python and R. Experience in GCP/Azure Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala) Experience with GPU/CUDA for computational efficiency About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India R-2182242 Show more Show less

Company Description Career Plus Recruitment Services is a conglomerate offering recruitment & staffing, international affiliations, business promotions, and education abroad services. Established in September 2015, we aim to empower the youth by supporting overall development. Our personalized advice and tailored support cater to the unique needs of each individual client and organization. Role Description This is a full-time on-site role for a Chemistry Teacher at CAREER PLUS RECRUITMENT SERVICES in Srinagar - J&K. The Chemistry teacher will be responsible for lesson planning, teaching physics and chemistry, and effective communication with students and colleagues preparing for NEET and IIT JEE examinations. EDUCATION - Must be Ph.D/M.Tech/M.Sc/B.Tech/B.Sc from IIT's /NIT's or other reputed universities. - Faculty from Allen, Aakash, FITJEE, Bansal, Resonance, Race will be preferred. - Freshers/Passouts with learning and teaching zeal will be given chance. - Salary 8 to 9 LPA with complimentary Food+Accommodation Show more Show less

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. The Data Scientist Associate with the Payments Data and Analytics team is responsible for executing big data analytics projects in response to product innovation and customer support for Merchant Services. Tangible output of the programs are payments insights that drive optimization of authorization, for large merchants – as well as deep consumer and business insights. As the analytics mature, these insights can be productized into products for merchants (“insights as a service”). As a Payments - Data Scientist Associate in our Payments Data and Analytics team, you will have the exciting opportunity to manage complex data sets, create insightful visualizations, and develop innovative analytics for the future of end-to-end payment optimization. You will work closely with our team and business partners, using your analytical and problem-solving skills to promote optimization and provide valuable insights. This role requires a minimum of 3 years of experience in a big data environment, deep knowledge of SQL, and preferably experience in automation and Python. A degree in a technical or quantitative field is also required. If you are curious, creative, and ready to take your ideas off the drawing board, we look forward to welcoming you to our team. Job Responsibilities Managing complex data sets, using modern statistical and data exploration practices and creating insightful visualizations. Taking responsibility to establish a repeatable process to perform validation of various analyses as well as ad hoc support of large client-merchants. But you are also curious and creative, having the ability to organize stakeholder problems into clear business objectives for which you can create analytics solutions that deliver immediate value. Get your ideas off the drawing board, preferring to quickly develop prototypical solutions that you can hone and improve in collaboration with teammates and stakeholders. Reaching out to subject matter experts to build your business knowledge and grow your understanding of pain points that represent analytic opportunities. Develop subject matter expertise in a world-class payments organization and help develop the innovative analytics for the future of end-to-end payment optimization. Required Qualifications, Capabilities And Skills Bachelor’s or master’s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field Minimum 3 years of working in a big data environment as a contributing member in self-directed roles Must have deep experience in SQL. Experience using Data Visualization tools such as Tableau Ability to clearly develop and document analytic requirements with stakeholders Exceptional analytical, problem solving, communication and presentation skills Ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives Proven strategic thinking and creative problem solving skills with ability to translate strategy into deliverables Strong written and oral communication skills Preferred Qualifications, Capabilities And Skills Experience in the payments industry and/or technology-enabled industries is desirable Experience in automation and Python are preferred ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

About The Advanced Analytics Team The central Advanced Analytics team at the Abbott Established Pharma Division’s (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team. Primary Job Function With the above requirements in mind, EPD is looking to fill a role of a Data Scientist to build and refine effective Data Science Solutions for Abbott EPD world-wide. Core Job Responsibilities The Data Scientist rapidly navigates from identifying priorities and helping to generate ideas to implementing solutions. They Participate/drive data collection, cleaning, analysis and interpretation (EDA). Collaborate with the business partner and product owners to ideate on solutions to challenging problems. Generate insightful visualizations to communicate findings. Carry out model selection, validation and possible ways for deployment (in collaboration with the engineering team). Write high quality code with possibility of deployment in mind. Share the learnings and findings with other data scientists contributing to the collaborative environment. Collaborate with Sr. Data Scientists and take full responsibility for analysis and modeling tasks. Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible. Keep himself/herself committed to continuous learning about the latest trends and technologies. Work closely with the Product Owners and the Engineering team to ensure delivery of the Data Science part of the projects within time, cost and quality. Collaborate with external vendors, evaluating their capabilities and ensuring their alignment with data science standards and project requirements. Continuously engage in hands-on data analysis, modeling, and prototyping DS frameworks to deliver high-quality outputs. Supervisory/Management Responsibilities Direct Reports: None. Indirect Reports: None. Position Accountability/Scope The Data Scientist is responsible for delivering targeted business impact per initiative in collaboration with key stakeholders and identifying next steps/future impactful opportunities. This individual contributor role involves working with cross-functional teams to build innovative solutions for internal business functions across different geographies. Minimum Education Master or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics) Minimum Experience At least 3-5 years of relevant working experience, ideally in pharma environment Solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus). Strong experience in e.g., data mining, statistical modelling, predictive modelling, and development of machine learning algorithms Proven problem-solving ability in international settings preferably with developing markets Proven experience in working in cloud environment preferably AWS / Sagemaker Strong experience working on full-life cycle data science; experience in applying data science methods to business problems Practical experience in deploying machine learning solutions Strong understanding of good software engineering principles and best practices Ability to work and lead cross-functional teams to bring business and data science closer together - consultancy experience a plus Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders Deep domain expertise in a specific field, such as Artificial Intelligence, Machine Learning, Natural Language Processing, or Computer Vision Strong programming skills in languages such as Python or R, with proficiency in data manipulation, wrangling, and modeling techniques Strong experience building and debugging complex SQL queries Excellent knowledge of statistical techniques, machine learning algorithms, and their practical implementation in real-world scenarios Exceptional communication and presentation skills, with the ability to convey complex concepts and insights to both technical and non-technical stakeholders Proven track record of delivering data-driven solutions that have had a measurable impact on business outcomes Exposure to big data technologies (e.g., Hadoop, Spark) is highly desirable Demonstrated ability to drive the adoption of data science best practices, standards, and methodologies within an organization Fluency in English a must, additional languages a plus Show more Show less

Data Science Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models Show more Show less

Position: UGC‑NTA NET Mathematics Faculty Location: Kozhikode, Kerala (Hybrid/Remote options available) Employment Type: Part-time / Contractual Compensation: Competitive hourly rate Role Overview Join our dynamic EdTech team to guide and empower aspirants preparing for the UGC‑NET Mathematics exam. You’ll deliver insightful instruction, create engaging content, and support students on their academic journey. Key Responsibilities Teach UGC‑NET Mathematics concepts (Paper II & support Paper I topics like Mathematical Reasoning). Develop lesson plans, study materials, quizzes, and mock tests aligned with the UGC‑NET syllabus. Analyze past exam trends to fine-tune content and teaching strategies. Provide feedback, resolve student queries, and track progress through assessments. Collaborate with academic teams to ensure course quality and consistency. Qualifications & Skills Master’s degree in Mathematics (UGC‑NET qualified essential). Minimum 1–2 years of teaching or content development for NET/competitive exams. Strong communication, presentation, and analytical skills. Proficiency with digital tools (e.g., MS Office, Google Classroom, Zoom). Passionate, student-centric, and committed to academic excellence. What We Offer Flexible working hours with remote-teaching options. Supportive, collaborative EdTech environment. Competitive remuneration plus bonuses. Professional development opportunities. Job Types: Part-time, Contractual / Temporary Supplemental Pay: Performance bonus Work Location: In person

Role Open Positions Mandatory Skillset Experience Work Location NP Budget Data Analyst 1 SQL, Power BI, Python, Amazon Athena 5+ Years TVM/Kochi/Remote Immediate only Max 19 LPA Job Purpose We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data engineers Skills: data storytelling,sql,athena,power bi,excel,python,aws,amazon athena Show more Show less

Role Open Positions Mandatory Skillset Experience Work Location NP Budget Data Analyst 1 SQL, Power BI, Python, Amazon Athena 5+ Years TVM/Kochi/Remote Immediate only Max 19 LPA Job Purpose We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data engineers Skills: data storytelling,sql,athena,power bi,excel,python,aws,amazon athena Show more Show less

Role Summary We are hiring Subject Matter Experts (SMEs) in Hindi, English, Mathematics, Science, and Social Science to drive subject-specific quality in our educational content and teacher development initiatives. Each SME will serve as the authority in their respective discipline, ensuring that curricula, assessments, and training materials are accurate, engaging, and aligned with competency-based education standards. This role requires seasoned educators who can blend deep subject knowledge with modern pedagogical approaches. SMEs will play a critical part in elevating academic standards and supporting teachers across India in delivering excellent subject instruction. Key Responsibilities Curriculum & Content Development: Design and review subject-specific curriculum frameworks, lesson plans, and learning resources that adhere to national standards and competency-based learning outcomes. Ensure all content (text, examples, exercises) is pedagogically sound and age-appropriate. Assessment Creation: Develop high-quality question banks, quizzes, and project assignments in the subject area that test conceptual understanding and application. Align assessment items with the competency framework and avoid rote-based questions. Moderate and refine questions for difficulty, clarity, and fairness. Teacher Training & Support: Conduct subject-specific training sessions and workshops for teachers. Demonstrate effective teaching methodologies for the subject (e.g., activity-based learning in Science, problem-solving approaches in Math, literature analysis techniques in English). Provide ongoing academic support and expert advice to educators to improve classroom practices. Quality Assurance: Vet textbooks, e-learning content, and other instructional materials for subject accuracy and clarity. Review external content (such as supplementary study guides or digital lessons) and recommend improvements or adaptations to meet our program’s standards. Subject Research & Updates: Stay abreast of the latest developments in the subject domain (syllabus changes, new research, pedagogical techniques). Continuously update and enrich content and training modules to reflect current knowledge and innovative teaching approaches. Cross-Functional Collaboration: Work closely with other competency specialists (Pedagogy, Assessment, Leadership) to integrate subject expertise into broader educational projects. Contribute subject-matter insights when developing interdisciplinary programs or competency maps. Required Qualifications Education: Master’s degree in the relevant subject discipline (e.g., M.A. in Hindi/English, M.Sc. in Mathematics/Science, or M.A. in History/Geography/Political Science for Social Science) from a recognized university. An additional M.Ed. or equivalent degree in Education is highly desirable. Teaching Certification: B.Ed. (Bachelor of Education) is mandatory , indicating formal training in pedagogy. UGC NET qualification or other subject-specific certifications (if applicable) will be considered a plus. Required Experience Teaching Experience: Minimum 5 years of teaching experience in the relevant subject at the middle or secondary school level (or higher). Experience should demonstrate a strong grasp of curriculum content and student learning patterns in the subject. Curriculum/Content Development: Hands-on experience in developing academic content or curriculum (e.g., as a textbook contributor, curriculum planner, or content developer for educational programs). Experience with a government curriculum body (NCERT/SCERT) or a reputable educational publisher is a strong advantage. Training & Mentoring: Experience conducting teacher training sessions, academic workshops, or mentoring fellow teachers in the subject is highly valued. Proven ability to improve teaching practices or student outcomes through your guidance is essential. Essential Skills & Competencies Subject Mastery: Exceptional knowledge of the subject matter, including conceptual depth and real-world context. For language subjects, native or near-native proficiency in reading, writing, and speaking is required (Hindi or English as applicable). Pedagogical Skills: Familiarity with effective teaching strategies specific to the subject (for example, use of experiments and inquiry in Science, interactive problem-solving in Math, or discussion and analysis in Social Science). Ability to simplify complex concepts and foster critical thinking and curiosity in learners. Assessment Literacy: Skill in creating and evaluating subject-specific assessment items. Understanding of how to measure student learning against competencies and learning outcomes in the subject. Communication: Strong communication and presentation skills. Ability to write clear, concise educational material and to explain subject content to both students and adult learners (teachers) in an accessible manner. Collaboration & Adaptability: A team player who can work with other experts and adapt to feedback. Open to incorporating broader educational innovations (like digital tools or cross-curricular approaches) into subject teaching. Highly adaptable to different school contexts (government or private). Work Ethic & Reliability: Detail-oriented and committed to quality. Reliable in meeting deadlines and delivering work that meets rigorous academic standards. Comfortable in a results-oriented, accountability-focused work culture. Show more Show less

Role Description The Data Analyst will be responsible for analyzing data sets to provide actionable insights, developing data models, performing statistical analysis, and communicating findings to team members and stakeholders. The role involves continuously monitoring and optimizing performance metrics to drive business growth and enhance decision-making processes. Qualifications Strong Analytical Skills and proficiency in Data Analytics Experience in Statistics and Data Modeling Excellent Communication skills for effectively conveying insights and recommendations Proficiency in tools and software related to data analysis (e.g., SQL, Python, R) Ability to work independently and remotely Bachelor's degree in Data Science, Statistics, Mathematics, or a related field Experience in a digital marketing or technology-focused environment is a plus Show more Show less

Role Open Positions Mandatory Skillset Experience Work Location NP Budget Data Analyst 1 SQL, Power BI, Python, Amazon Athena 5+ Years TVM/Kochi/Remote Immediate only Max 19 LPA Job Purpose We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data engineers Skills: data storytelling,sql,athena,power bi,excel,python,aws,amazon athena Show more Show less

Hiring: Senior Data Analyst (5+ Years) – Remote/Kochi/Trivandrum/Bangalore/Chennai 📍 Location: Remote / Kochi / Trivandrum 💰 Budget: Up to 19 LPA 📆 Immediate Joiners Preferred 🚀 About the Role: We’re looking for a Senior Data Analyst to join our Data & Analytics team! You’ll transform complex data into actionable insights, drive strategic decisions, and empower stakeholders with intuitive dashboards and reports. If you love digging into data, solving business problems, and communicating insights effectively, this role is for you! 🔧 Mandatory Key Skills Required: 5 years mandatory ✔ SQL (Advanced) ✔ Power BI (Dashboarding & Visualization) ✔ Python (Data Analysis) ✔ Amazon Athena (or similar cloud data tools) ✔ 5+ years in Data Analysis/Business Intelligence Job Description / Duties & Responsibilities • Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. • Analyze large datasets to uncover trends, patterns, and actionable insights. • Design and build dashboards and reports using Power BI. • Perform ad-hoc analysis and develop data-driven narratives to support decision-making. • Ensure data accuracy, consistency, and integrity through data validation and quality checks. • Build and maintain SQL queries, views, and data models for reporting purposes. • Communicate findings clearly through presentations, visualizations, and written summaries. • Partner with data engineers and architects to improve data pipelines and architecture. • Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. • 5+ years of experience in a data analyst or business intelligence role. • Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). • Hands-on experience in Power BI. • Proficiency in Python, Excel and data storytelling. • Understanding of data modelling, ETL concepts, and basic data architecture. • Strong analytical thinking and problem-solving skills. • Excellent communication and stakeholder management skills • To adhere to the Information Security Management policies and procedures. Soft Skills Required Must be a good team player with good communication skills Must have good presentation skills Must be a pro-active problem solver and a leader by self Manage & nurture a team of data engineers Show more Show less

Role Open Positions Mandatory Skillset Experience Work Location NP Budget Data Analyst 1 SQL, Power BI, Python, Amazon Athena 5+ Years TVM/Kochi/Remote Immediate only Max 19 LPA Job Purpose We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data engineers Skills: data storytelling,sql,athena,power bi,excel,python,aws,amazon athena Show more Show less

Associate / Sr. Associate - Customer Success Who are we looking for? Associate Customer Success drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables. and generating focused insights. Openings: 5 Experience: Min. 2-4 Years of work experience Requirements: • Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. • Past experience in working with Advanced Excel and in making powerful presentations will be a plus. • We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. • Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: • Competitive salary • Technical coaching to ensure continuous professional growth • Awards & recognition for your hard work Show more Show less

Position: AI Intern Location: On-site – Noida Duration: 6 months Stipend: INR 15000 per month Open positions: 2 About the Role: We’re looking for an enthusiastic and curious AI Intern to join our team and support real-world applications of artificial intelligence and machine learning. You’ll work on practical tasks like model training, data preprocessing, and automation — all under the guidance of experienced engineers. This is a hands-on learning opportunity designed for someone who wants to explore AI beyond textbooks and build something meaningful. Key Responsibilities: Assist in data collection, cleaning, labeling, and preparation for model training Support basic model development or improvement (e.g., regression, classification, recommendation) Help integrate ML models with applications through simple APIs or scripts Run tests and evaluations to track model performance and suggest improvements Document workflows, results, and observations clearly Stay updated with relevant AI/ML trends and tools Ideal Candidate Should Have: Currently pursuing/completed a degree in Computer Science, Engineering, Mathematics, or a related field Basic understanding of Python and libraries like Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch Familiarity with concepts like data preprocessing, supervised learning, or NLP Logical thinking, attention to detail, and a willingness to learn Good communication skills and ability to work in a team What You’ll Gain: Real-world experience with production-level AI workflows Mentorship from experienced developers and data scientists Exposure to tools like Git, Jupyter, cloud platforms (if applicable) Opportunity to contribute to live projects or POCs Internship certificate and possible full-time opportunity based on performance To Apply: Apply on the job post listed on LinkedIn. Show more Show less

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Grade T1 Support the development and maintenance of business intelligence and analytics systems to support data-driven decision-making. Implement of business intelligence and analytics systems, ensuring alignment with business requirements. Design and optimize data warehouse architecture to support efficient storage and retrieval of large datasets. Enable self-service data exploration capabilities for users to analyze and visualize data independently. Develop reporting and analysis applications to generate insights from data for business stakeholders. Design and implement data models to organize and structure data for analytical purposes. Implement data security and federation strategies to ensure the confidentiality and integrity of sensitive information. Optimize business intelligence production processes and adopt best practices to enhance efficiency and reliability. Assist in training and support to users on business intelligence tools and applications. Collaborate and maintain relationships with vendors and oversee project management activities to ensure timely and successful implementation of business intelligence solutions. Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Relevant work experience in data engineering based on the following number of years: Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) years Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace. Show more Show less

Job Title: Data Analyst Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a motivated and analytical Data Analyst Trainee to join our remote analytics team. This internship is perfect for individuals eager to apply their data skills in real-world projects, generate insights, and support business decision-making through analysis, reporting, and visualization. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Perform exploratory data analysis (EDA) and generate actionable insights Build interactive dashboards and reports using Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and manipulation Collaborate with cross-functional teams to understand data needs Document analytical methodologies, insights, and recommendations Qualifications: Bachelor’s degree (or final-year student) in Data Science, Statistics, Computer Science, Mathematics, or a related field Proficiency in Excel and SQL Working knowledge of Python (Pandas, NumPy, Matplotlib) or R Understanding of basic statistics and analytical methods Strong attention to detail and problem-solving ability Ability to work independently and communicate effectively in a remote setting Preferred Skills (Nice to Have): Experience with BI tools like Power BI, Tableau, or Google Data Studio Familiarity with cloud data platforms (e.g., BigQuery, AWS Redshift) Knowledge of data storytelling and KPI measurement Previous academic or personal projects in analytics What We Offer: Monthly stipend of ₹25,000 Fully remote internship Mentorship from experienced data analysts and domain experts Hands-on experience with real business data and live projects Certificate of Completion Opportunity for a full-time role based on performance Show more Show less

Roles & Responsibilities Job Description: Data Scientist Expertise in Data Science & AI/ML: 3-8 years experience designing, developing, and deploying scalable AI/ML solutions for Big Data, with proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib). Cloud Proficiency: Proven experience with cloud-based Big Data services (GCP preferred, AWS/Azure a plus) for AI/ML model deployment and Big Data pipelines.; understanding of data modeling, warehousing, and ETL in Big Data contexts. Analytical & Communication Skills: Ability to extract actionable insights from large datasets, apply statistical methods, and effectively communicate complex findings to both technical and non-technical audiences (visualization skills a plus). Educational Background: Bachelor's or Master's degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, Mathematics). Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science, SQL, TensorFlow, Pytorch About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Work Experience : 3+ years Salary: 21 LPA Location: Bengaluru Title : MLops Engineer Team Charter: The team in India comes with multi-disciplinary skillset, including but not limited to the following areas: Develop models and algorithms using Deep Learning and Computer Vision on the captured data to provide meaningful analysis to our customers. Some of the projects include – object detection, OCR, barcode scanning, stereovision, SLAM, 3D-reconstruction, action recognition etc. Develop integrated embedded systems for our drones – including embedded system platform development, camera and sensor integration, flight controller and motor control system development, etc. Architect and develop full stack software to interface between our solution and customer database and access – including database development, API development, UI/UX, storage, security and processing for data acquired by the drone. Integration and testing of various off the shelf sensors and other modules with drone and related software. Design algorithms related to autonomy and flight controls. Responsibilities: As a Machine Learning Ops (MLOps) engineer, you will be responsible for building and maintaining the next generation of Vimaan’s ML Platform and Infrastructure. MLOps will have a major contribution in making CV & ML offerings scalable across the company products. We are building all these data & model pipelines to scale Vimaan operations and MLOps Engineer will play a key role in enabling that. You will lead initiatives geared towards making the Computer Vision Engineers at Vimaan more productive. You will setup the infrastructure that powers the ML teams, thus simplifying the development and deployment cycles of ML models. You will help establish best practices for the ML pipeline and partner with other infrastructure ops teams to help champion them across the company. Build and maintain data pipelines - data ingestion, filtering, generating pre-populated annotations, etc. Build and maintain model pipelines - model monitoring, automated triggering of model (re)training, auto-deployment of models to producti on servers and edge devices. Own the cloud stack which comprises all ML resources. Establish standards and practices around MLOps, including governance, compliance, and data security. Collaborate on managing ML infrastructure costs. Qualifications: Deep quantitative/programming background with degree (Bachelors, Masters or Ph.D.) in a highly analytical discipline, like Statistics, Electrical,Electronics, Computer Science, Mathematics, Operations Research, etc. A minimum of 3 years of experience in managing machine learning projects end-to-end focused on MLOps. Experience with building RESTful APIs for monitoring build & production systems using automated monitoring of models and corresponding alarm tools. Experience with data versioning tools such as Data Version Control (DVC). Build and maintain data pipelines by using tools like Dagster, Airflow etc. Experience with containerizing and deploying ML models. Hands-on experience with autoML tools, experiment tracking, model management, version tracking & model training (MLflow, W&B, Neptune etc.), model hyperparameter optimization, model evaluation, and visualization (Tensorboard). Sound knowledge and experience with atleast one DL frameworks such as PyTorch, TensorFlow, Keras. Experience with container technologies (Docker, Kubernetes etc). Experience with cloud services. Working knowledge of SQL based databases. Hands on experience with Python scientific computing stack such as numpy, scipy, scikit-learn Familiarity with Linux and git. Detail oriented design, code debugging and problem-solving skills. Effective communication skills: discussing with peers and driving logic driven conclusions. Ability to perspicuously communicate complex technical/architectural problems and propose solutions for the same. How to stand out Prior experience in deploying ML & DL solutions as services Experience with multiple cloud services. Ability to collaborate effectively across functions in a fast-paced environment. Experience with technical documentation and presentation for effective dissemination of work. Engineering experience in distributed systems and data infrastructure. Show more Show less

We are hiring Store Keeper for a leading Construction Company Overview The Store Keeper plays a crucial role within the construction industry, ensuring the efficient management of materials and supplies which are essential for ongoing projects. They are responsible for maintaining accurate inventory records, organizing and overseeing the storage of materials, and coordinating with various teams to fulfill supply needs. Key Responsibilities Maintain accurate records of all incoming and outgoing materials Organize and label items in the storage area Monitor inventory levels and replenish stock as needed Coordinate with suppliers to ensure timely delivery of materials Inspect deliveries for damage and discrepancies Prepare and maintain reports on inventory levels and stock movements Supervise and train junior storekeeping staff Adhere to safety and quality standards in all storage and handling activities Collaborate with the procurement team to forecast upcoming material needs Resolve any inventory-related discrepancies or issues Keep the storage area clean, organized, and hazard-free Assist in conducting regular stock audits Implement efficient inventory management practices Communicate with project managers and site teams to understand material requirements Manage and update electronic inventory systems Required Qualifications Proven experience as a Store Keeper or similar position in the construction industry High school diploma or equivalent; additional certification or training is a plus Sound knowledge of inventory management and control practices Ability to use relevant computer applications for inventory tracking Strong mathematical and analytical skills Excellent organizational and time management abilities Effective communication skills, both verbal and written Attention to detail and accuracy in record-keeping Problem-solving skills to address inventory-related challenges Ability to work effectively in a fast-paced, demanding environment Understanding of safety and quality standards for storage and handling Physical stamina and dexterity to handle and lift heavy items Team player with the ability to work collaboratively with diverse teams Knowledge of construction materials and their storage requirements Willingness to adhere to company policies and procedures Work Location: Nungambakkam, Chennai. Immediate Joiners Are Preferred. For more details contact us at 9176033506/9791033506. Skills: analytical skills,construction materials knowledge,computer applications,material handling,storage,materials management,organizational abilities,computer application proficiency,organizational skills,logistics,forecasting,record keeping,warehouse management,storage management,problem-solving,dexterity,team collaboration,communication,coordination,stock audit,record-keeping,supply chain coordination,procurement,computer applications for inventory tracking,inventory control,teamwork,time management,safety standards knowledge,construction materials,safety standards,quality standards,attention to detail,supply chain,quality standards knowledge,supply coordination,material coordination,inventory tracking,physical stamina,numerical skills,construction,knowledge of construction materials,computer applications proficiency,supervision,inventory management,problem-solving skills,organization,computer applications usage,mathematics,communication skills,material management,reporting,safety and quality standards,supply chain management,mathematical skills Show more Show less

What you will enjoy doing • You will develop, train, test and deploy machine learning models in various fields such as computer vision, LLMs, tabular and time series data. • Experimenting with novel deep learning based technologies such as self-supervised learning and generative AI will also be part of your tasks • You will support in setting up the MLOps infrastructure for existing and new AI products • Additionally you will work directly with customer data and set up data pipelines to collect, curate, transform and version data. You'll be working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Machine Learning Enginee, you will be working closely with our global AI team to create and implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision. What Makes You Great • You have a Bachelor or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science or related field • You know the basics of neural networks and have an initial practical experience with deep learning frameworks like PyTorch and Tensorflow. • You have experience in backend and API development with Python (FastAPI, Flask) or similar • You demonstrate knowledge of and basic practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git) • Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus • Fluent English Why You Will Love Working With Us At Linde, you will have the opportunity to think outside the box, work on innovative topics, and deliver impactful solutions to our internal customers. You’ll be part of a team that values inclusivity, fosters creativity, and welcomes diverse perspectives, making Linde an employer of choice. We act responsibly towards our shareholders, business partners, employees, society, and the environment. Linde is committed to technologies and products that combine customer value with sustainable development. What We Offer You In addition to an attractive compensation package, we offer flexible working hours and various benefits to support your professional and personal development. Our culture values work-life balance, helping you to combine career ambitions with family commitments. Show more Show less

Job Title: Home Tutor – Classes 1 to 8 (All Subjects) Location: Delhi (All Areas – North, South, East, West, Central) Job Type: Part-time / Freelance / Flexible Hours Salary: Based on subjects, hours & location About the Role: We are seeking experienced and responsible home tutors to teach school students from Classes 1 to 8 in Delhi . The tutor should have a good command over subjects such as Maths, English, Science, Hindi , and EVS/SST , and be able to conduct personalized, one-on-one sessions at the student’s home. Key Responsibilities: Conduct daily or alternate-day home tutoring sessions at the student’s residence. Teach school curriculum as per CBSE/ICSE standards. Assist with homework, test preparation, and concept building. Develop a friendly and productive learning environment. Provide regular feedback to parents on student progress. Follow punctuality, discipline, and maintain confidentiality. Eligibility Criteria: Minimum Qualification: 12th Pass (Graduate / B.Ed preferred) Must be based in Delhi and willing to travel within 3–5 km radius Strong subject knowledge and communication skills Prior tutoring experience preferred (freshers can apply) Should be able to commit to a fixed tutoring schedule (e.g., 5 days/week) Preferred Subjects: English Mathematics Science Hindi Social Studies / EVS / Computer Basics Benefits: Flexible timings (morning/evening/weekend slots) Nearby student assignments (based on your area) Competitive pay per student/month Long-term and repeat tuition opportunities Support from academic coordinators (if hired through agency) How to Apply: Send your resume. Job Types: Full-time, Part-time, Permanent, Freelance Pay: ₹30,000.00 - ₹45,000.00 per month Work Location: In person

About Shreeji Education Zone: Shreeji Education Zone is a leading educational institute in Rajkot, dedicated to providing exceptional academic support and fostering holistic development for IGCSE students. Our goal is to cultivate a nurturing and intellectually stimulating environment that encourages academic excellence. Position Overview: We are seeking a meticulous and creative IGCSE Tutor to join our team. This role is critical to ensuring the academic success of our students through thorough paper checking and innovative lesson planning. The ideal candidate will have a strong background in education, a keen eye for detail, and a passion for fostering student growth. Key Responsibilities: Paper Checking: Accurately grade student assignments, tests, and exams, providing detailed and constructive feedback to help students understand their mistakes and improve their performance. Lesson Planning: Develop engaging and effective lesson plans tailored to the IGCSE curriculum, ensuring each lesson addresses the diverse learning needs of our students. Performance Analysis: Regularly review student performance data to identify trends, strengths, and areas needing improvement, adjusting lesson plans accordingly. Individualized Support: Offer personalized academic support to students, addressing their unique challenges and helping them achieve their full potential. Collaboration: Work closely with fellow tutors and staff to maintain high standards of educational delivery and consistency across the institute. Professional Development: Stay informed about the latest educational trends, IGCSE curriculum updates, and best practices in teaching and assessment. Qualifications: Bachelor’s degree in Education, a specific subject area (e.g., Mathematics, Science, English), or a related field. A Master’s degree is preferred. Proven experience in tutoring, teaching, or educational support, with a focus on IGCSE or GCSE students. Deep understanding of the IGCSE curriculum and examination standards. Excellent analytical skills for assessing student work and developing targeted lesson plans. Strong communication skills for providing clear, constructive feedback and guidance. A proactive and innovative approach to teaching and student support. What We Offer: A collaborative and supportive work environment. Opportunities for professional growth and training. Potential for a permanent position with a competitive salary based on performance. The opportunity to make a meaningful impact on students' academic journeys. Job Type: Part-time Pay: ₹8,032.00 - ₹15,603.82 per month Benefits: Cell phone reimbursement Internet reimbursement Leave encashment Paid sick time Paid time off Schedule: Fixed shift Supplemental Pay: Performance bonus Application Question(s): Our working hours are from 2:00 PM to 8:00 PM, Monday to Friday. Are you comfortable with this schedule? What motivates you more in a job: growth or compensation? Some argue that AI integration in students’ lives enhances learning efficiency and prepares them for future technological advancements. Others believe it risks depersonalizing education and undermining critical thinking skills. Which perspective do you align with more, and why? (Please choose one and explain briefly.) Education: Master's (Preferred) Experience: Work: 3 years (Preferred) Location: Rajkot, Rajkot, Gujarat (Preferred) Work Location: In person

Our power is in our people. We're individuals from different cultures and backgrounds. Those differences make us stronger as a team and a force for good in our communities. Here, you'll work with dynamic individuals, build your skills, and unleash new ways of working and thinking. Are you ready to join an organization that will help unlock your potential? This Strategic Initiatives Consultant will be a key member of the newly formed Strategic Initiatives team. This person will : a. Support the pricing and execution of internal and external reinsurance initiatives from actuarial perspectives b. Provide strategic direction to several key teams including methodology, governance, and modeling for transaction implementation. c. Collaborate with other teams including Stat/GAAP valuation, model development, and assumption development for new product development / reinsurance activities. Key Responsibilities include, but are not limited to: Analyze, price, & implement new flow & reinsurance transactions partnering with Stat/Valuation & Finance, Coordinate cross-functional teams including model development, finance, and legal in closing reinsurance transactions. Assist in reviewing EBS valuation and stress testing results of inforce variable annuities businesses. Collaborate with Investments on ALM Strategies for capital management initiatives. Support assumption reviews & stress testing Skills Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Managing Multiple Priorities: Knowledge of effective self-management practices; ability to manage multiple concurrent objectives, projects, groups, or activities, making effective judgments as to prioritizing and time allocation. Statistics and Actuarial Modeling: Knowledge of statistical and actuarial modeling tools and techniques; ability to apply modeling processes and techniques to facilitate risk management decisions. Diversity, Equity and Inclusion: Demonstrates a commitment to Diversity, Equity and Inclusion by treating everyone with respect and dignity, ensuring all voices are heard and advocating for change. Required Qualifications: Bachelor’s degree in Mathematics, Statistical, Economics and/or Actuarial Sciences FSA/FCIA qualifications (Fellow from IAI India or IFoA UK) 7+ years of actuarial experience (10+ years of experience in Life Insurance US Market, 3+ years in making reinsurance deals, merger and acquisition) Familiarity with reinsurance accounting or capital management Prefer knowledge of AXIS, Variable Annuity and IFRS / USGAAP / US Stat / MCEV frameworks Show more Show less