186 Optimization Techniques Jobs - Page 8

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBev?s global non-commercial analytics capability of Supply Chain Analytics Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets, Key tasks & accountabilities Understand the business problem and and translate that to an analytical problem; participate in the solution design process Working with Analytics Manager to create project plan, and design analytics roadmap Independently lead project delivery End to end development of AI/ML models Ability to communicate findings clearly to both technical and business stakeholders Should be able to quantify the impact, and continuously implement improvements Document every aspect of the project in standard ways Qualifications, Experience, Skills Level Of Educational Attainment Required Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous Work Experience Minimum 5 years of relevant experience Preferred industry exposure CPG, Consulting with 5+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Supply Chain Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) ?preferably in a CPG organization? with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery, Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Demonstrated leadership skills, Passion for solving problems using data, Detail oriented, analytical and inquisitive, Ability to work independently and with others, And above all of this, an undying love for beer! We dream big to create future with more cheers,

Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions. Outcomes: Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development maintenance and performance using design patterns and reusing proven solutions.rnInterpret requirements to create optimal architecture and design developing solutions in accordance with specifications. Document and communicate milestones/stages for end-to-end delivery. Code adhering to best coding standards debug and test solutions to deliver best-in-class quality. Perform performance tuning of code and align it with the appropriate infrastructure to optimize efficiency. Validate results with user representatives integrating the overall solution seamlessly. Develop and manage data storage solutions including relational databases NoSQL databases and data lakes. Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools. Influence and improve customer satisfaction through effective data solutions. Measures of Outcomes: Adherence to engineering processes and standards Adherence to schedule / timelines Adhere to SLAs where applicable # of defects post delivery # of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Completion of applicable technical/domain certifications Completion of all mandatory training requirements Efficiency improvements in data pipelines (e.g. reduced resource consumption faster run times). Average time to detect respond to and resolve pipeline failures or data issues. Number of data security incidents or compliance breaches. Outputs Expected: Code Development: Develop data processing code independently ensuring it meets performance and scalability requirements. Define coding standards templates and checklists. Review code for team members and peers. Documentation: Create and review templates checklists guidelines and standards for design processes and development. Create and review deliverable documents including design documents architecture documents infrastructure costing business requirements source-target mappings test cases and results. Configuration: Define and govern the configuration management plan. Ensure compliance within the team. Testing: Review and create unit test cases scenarios and execution plans. Review the test plan and test strategy developed by the testing team. Provide clarifications and support to the testing team as needed. Domain Relevance: Advise data engineers on the design and development of features and components demonstrating a deeper understanding of business needs. Learn about customer domains to identify opportunities for value addition. Complete relevant domain certifications to enhance expertise. Project Management: Manage the delivery of modules effectively. Defect Management: Perform root cause analysis (RCA) and mitigation of defects. Identify defect trends and take proactive measures to improve quality. Estimation: Create and provide input for effort and size estimation for projects. Knowledge Management: Consume and contribute to project-related documents SharePoint libraries and client universities. Review reusable documents created by the team. Release Management: Execute and monitor the release process to ensure smooth transitions. Design Contribution: Contribute to the creation of high-level design (HLD) low-level design (LLD) and system architecture for applications business components and data models. Customer Interface: Clarify requirements and provide guidance to the development team. Present design options to customers and conduct product demonstrations. Team Management: Set FAST goals and provide constructive feedback. Understand team members' aspirations and provide guidance and opportunities for growth. Ensure team engagement in projects and initiatives. Certifications: Obtain relevant domain and technology certifications to stay competitive and informed. Skill Examples: Proficiency in SQL Python or other programming languages used for data manipulation. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery). Conduct tests on data pipelines and evaluate results against data quality and performance specifications. Experience in performance tuning of data processes. Expertise in designing and optimizing data warehouses for cost efficiency. Ability to apply and optimize data models for efficient storage retrieval and processing of large datasets. Capacity to clearly explain and communicate design and development aspects to customers. Ability to estimate time and resource requirements for developing and debugging features or components. Knowledge Examples: Knowledge Examples Knowledge of various ETL services offered by cloud providers including Apache PySpark AWS Glue GCP DataProc/DataFlow Azure ADF and ADLF. Proficiency in SQL for analytics including windowing functions. Understanding of data schemas and models relevant to various business contexts. Familiarity with domain-related data and its implications. Expertise in data warehousing optimization techniques. Knowledge of data security concepts and best practices. Familiarity with design patterns and frameworks in data engineering. Additional Comments: Required Skills & Qualifications: - A degree (preferably an advanced degree) in Computer Science, Engineering or a related field - Senior developer having 8+ years of hands on development experience in Azure using ASB and ADF: Extensive experience in designing, developing, and maintaining data solutions/pipelines in the Azure ecosystem, including Azure Service Bus, & ADF. - Familiarity with MongoDB and Python is added advantage. Required Skills Azure Data Factory,Azure Service Bus,Azure,Mongodb

Role & responsibilities We are looking for a results-driven Optimization Engineer to design and implement scalable optimization models for complex operational challenges. You will work with cross-functional teams to prototype, validate, and deploy solutions that improve fleet performance, turnaround time, and cost efficiency. Key Responsibilities & Qualifications: Develop and deploy optimization models using MILP, graph-based, heuristic, or meta-heuristic methods. Write clean, maintainable Python code to solve routing, scheduling, and allocation problems. Use SQL to query, process, and manipulate large datasets for optimization workflows. Collaborate with data engineers and product teams to deploy solutions via RESTful APIs. Familiarity with AWS cloud services for scalable model deployment. Rapidly prototype optimization strategies and validate them through stakeholder feedback. Good-to-have: Experience with CPLEX, Gurobi, RESTful APIs, and working with AIS/maritime tracking data.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 10 years of experience in Data Science and Machine Learning. The ideal candidate should have expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) is essential to quickly understand requirements and develop solutions. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable. Responsibilities: Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications. Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions. Graduate/Postgraduate in computer science, computer engineering, or equivalent with 10-12 years of experience in the IT industry. Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Minimum 5-6 years of hands-on experience in a Data Scientist role or similar role. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques. Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI). Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions. Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom). Completed 2-3 projects in the domain of expertise. Strong knowledge of Python, C/C++. Data mining, visualization, and machine learning skills. Fluent in English (written and spoken). Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields. Preferred Technical and Professional Experience Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform) Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-AA6

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-MP1

Roles and Responsibilities Collaborate with cross-functional teams to identify areas for improvement and implement changes that drive efficiency gains. Develop and maintain documentation of design specifications, test plans, and results. Troubleshoot issues related to simulation models and provide technical support to users.

This operation is based in the US, so you will be required to work from 6:30pm to 3:30am IST. Strong verbal and written English skills are a necessity. Job Summary: We are seeking a detail-oriented and tech-savvy LMS Administrator to manage and support our Learning Management System (LMS) with a strong focus on UKG Learning . The LMS Administrator will be responsible for maintaining the LMS platform, ensuring data integrity, optimizing system performance, and supporting the learning and development strategy across the organization. This role plays a key part in delivering impactful employee training and development experiences through UKG. Key Responsibilities: Administer and maintain the UKG Learning LMS, including course uploads, user setup, assignments, reporting, and troubleshooting. Monitor and optimize LMS performance, proactively resolving technical issues and escalating to UKG support when needed. Build and maintain custom reports and dashboards to measure training compliance, learner progress, and engagement. Serve as a point of contact for LMS-related questions and support, providing technical assistance and training to users. Assist in the configuration and testing of new LMS features, system upgrades, and integrations. Maintain LMS documentation including SOPs, user guides, and change logs. Support audits and compliance initiatives by managing records and ensuring training documentation is up to date. Stay informed on UKG Learning enhancements and best practices to continuously improve the user experience. Support other learning or system-related projects as directed by leadership. Qualifications: 2+ years of experience administering an LMS platform, preferably UKG Learning (formerly Kronos). Strong understanding of LMS configuration, reporting, and data management. Experience working with SCORM, AICC, xAPI, and other e-learning standards. Proficiency in Microsoft Excel and other reporting tools Excellent communication and problem-solving skills. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and commitment to data accuracy.

Overview We are seeking an outstanding software engineer to join our development team in Pune office. You will work on data-centric analytical applications with a focus on data access components, providing data infrastructure to other components in the platform, develop scalable high-performance multi-threaded components, develop unit testing, assist with production deployments and post-production support. Responsibilities We are looking for a software engineer who understands the complexity of building foundational data abstraction layers that sit at the intersection of raw data and complex financial analytics. The ideal candidate brings experience in designing and building platform services, is comfortable with data modeling across multi-asset domains, and is passionate about engineering excellence. In this role, you will be an active contributor to a globally distributed team responsible for abstracting and delivering business-critical data to clients and internal analytics layers. You will work on a mix of strategic initiatives (e.g., unified data interfaces, metadata-driven architecture) and tactical work (e.g., enhancements, issue triage) that directly impact production platforms. You’ll participate in design reviews, contribute to coding and testing, and drive implementation of best practices across service boundaries and data pipelines. You’ll also work closely with product managers, platform teams, and operations stakeholders to align priorities and deliver business value. Qualifications Degree in Computer Science or equivalent degree in Engineering, Mathematics, or a related field. 5+ years of experience building distributed systems and platform services, preferably in financial services or analytics. Proven expertise with Java, including experience writing scalable, efficient, and testable code. Practical experience working with JVM internals, profiling tools, garbage collection tuning, and performance optimization. Excellent knowledge of data structures, algorithms, concurrency, and memory optimization techniques. Experience with relational database systems or non-relational database systems, preferably on a large scale SQL Query Tuning: complex query plan analysis and optimization and Schema redesign Prior exposure to risk or performance attribution systems, or deep experience with financial data modeling across asset classes. Familiarity with Kubernetes, Docker, Azure, Helm, Terraform is a strong plus. Strong interpersonal and communication skills with the ability to work in a globally distributed team. Attention to detail and a pragmatic approach to balancing quality, performance, and delivery timelines. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Overview We are seeking an outstanding software engineer to join our development team in Pune office. You will work on data-centric analytical applications with a focus on data access components, providing data infrastructure to other components in the platform, develop scalable high-performance multi-threaded components, develop unit testing, assist with production deployments and post-production support. Responsibilities We are looking for a software engineer who understands the complexity of building foundational data abstraction layers that sit at the intersection of raw data and complex financial analytics. The ideal candidate brings experience in designing and building platform services, is comfortable with data modeling across multi-asset domains, and is passionate about engineering excellence. In this role, you will be an active contributor to a globally distributed team responsible for abstracting and delivering business-critical data to clients and internal analytics layers. You will work on a mix of strategic initiatives (e.g., unified data interfaces, metadata-driven architecture) and tactical work (e.g., enhancements, issue triage) that directly impact production platforms. You’ll participate in design reviews, contribute to coding and testing, and drive implementation of best practices across service boundaries and data pipelines. You’ll also work closely with product managers, platform teams, and operations stakeholders to align priorities and deliver business value. Qualifications Degree in Computer Science or equivalent degree in Engineering, Mathematics, or a related field. 3+ years of experience building distributed systems and platform services, preferably in financial services or analytics. Proven expertise with Java, including experience writing scalable, efficient, and testable code. Practical experience working with JVM internals, profiling tools, garbage collection tuning, and performance optimization. Excellent knowledge of data structures, algorithms, concurrency, and memory optimization techniques. Experience with relational database systems or non-relational database systems, preferably on a large scale SQL Query Tuning: complex query plan analysis and optimization and Schema redesign Prior exposure to risk or performance attribution systems, or deep experience with financial data modeling across asset classes. Familiarity with Kubernetes, Docker, Azure, Helm, Terraform is a strong plus. Strong interpersonal and communication skills with the ability to work in a globally distributed team. Attention to detail and a pragmatic approach to balancing quality, performance, and delivery timelines. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Develop and execute Data-driven Digital Marketing strategies across various channels, including SEO, SEM, Email Marketing, Social Media, and Content marketing. Plan and manage campaigns to promote Instrukarts products and services, ensuring maximum reach and ROI. Optimize website performance, user experience, and content to improve organic traffic and conversion rates. Monitor, analyze, and report on key performance metrics for all digital marketing campaigns. Collaborate with cross-functional teams to align marketing efforts with business goals. Stay updated on industry trends, emerging tools, and best practices to ensure competitive advantage. Conduct competitor analysis and audience research to identify new opportunities for growth. Qualifications for the Role : Expertise in SEO and content optimization techniques. Proficiency in marketing tools and platforms such as Google Ads, Google Analytics, Facebook Business Manager, and email automation tools. Strong analytical skills and the ability to interpret data to drive strategic decisions. Creative thinker with excellent communication and copywriting skills. Package and other Benefits Quarterly Incentives Offer Board Benefits (Cash Rewards) 6 Days Working (Day Shift) BYOD Reimbursement Positive Work Culture POSH (Prevention of Sexual Harassments) Policy for Female Employees) Special Benefits for Female Employees Qualification: Bachelors degree Positions: 2 Experience: 2 to 3 Years Preferred Benefits: Health Insurance PF