92 Optimization Techniques Jobs - Page 4

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to interface with the client for quality assurance issue resolution and ensuring high customer satisfaction You will understand requirements create and review designs validate the architecture and ensure high levels of service offerings to clients in the technology domain You will participate in project estimation provide inputs for solution delivery conduct technical risk planning perform code reviews and unit test plan reviews You will lead and guide your teams towards developing optimized high quality code deliverables continual knowledge management and adherence to the organizational guidelines and processes You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: 5 years of experience as a software developer focused on Oracle EBS development and implementation Expert level understanding of Oracle EBS Technologies Forms Reports Workflow SQL Loader Oracle Applications APIs Database concepts and optimization techniques PL SQL Unix Shell Scripts Oracle Database Upgrade 9i to 12c preferably Data mapping conversions interfaces and validation Strong understanding of EBS R12 data models across at least 2 modules Finance HR Supply Chain etc SQL queries including complex queries and use of TOAD Strong understanding of Software Development Life Cycle SDLC and agile methodologies Software development best practices and coding standards Design principles and architecture concepts Performance engineering and quality assurance processes Version control systems e g Git Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities Strong Technical Skills Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving analytical and debugging skills Preferred Skills: Technology->Oracle eBS Technical->Oracle Application Development,Technology->Oracle Apps Technical->Oracle Apps PL/SQL

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to interface with the client for quality assurance issue resolution and ensuring high customer satisfaction You will understand requirements create and review designs validate the architecture and ensure high levels of service offerings to clients in the technology domain You will participate in project estimation provide inputs for solution delivery conduct technical risk planning perform code reviews and unit test plan reviews You will lead and guide your teams towards developing optimized high quality code deliverables continual knowledge management and adherence to the organizational guidelines and processes You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: 5 years of experience as a software developer focused on Oracle EBS development and implementation Expert level understanding of Oracle EBS Technologies Forms Reports Workflow SQL Loader Oracle Applications APIs Database concepts and optimization techniques PL SQL Unix Shell Scripts Oracle Database Upgrade 9i to 12c preferably Data mapping conversions interfaces and validation Strong understanding of EBS R12 data models across at least 2 modules Finance HR Supply Chain etc SQL queries including complex queries and use of TOAD Strong understanding of Software Development Life Cycle SDLC and agile methodologies Software development best practices and coding standards Design principles and architecture concepts Performance engineering and quality assurance processes Version control systems e g Git Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities Strong Technical Skills Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving analytical and debugging skills Preferred Skills: Technology->Oracle Apps Technical->Oracle Apps PL/SQL,Technology->Oracle eBS Technical->Oracle Application Development

Seeking a Database Engineer with 10+ years of experience in PostgreSQL, Liquibase, data masking, performance tuning and strong expertise in real-time data sync and database optimization within financial systems. CC: recruitment@fortitudecareer.com Flexi working Work from home

We are seeking an experienced Performance Marketing Manager to join our dynamic team. The ideal candidate will have a strong background in the Retail, E-commerce, or product-based industry, and possess a proven track record in managing large-scale advertising budgets and multiple brand accounts. This role will require deep expertise in Google Ads, Meta Ads, and a thorough understanding of all metrics, attribution models, and analytics. Key Responsibilities: Campaign Management: Plan, execute, and optimize paid marketing campaigns across Google Ads, Meta Ads (Facebook, Instagram), and other digital advertising platforms to drive traffic, engagement, and conversions. Budget Management: Manage and optimize annual advertising budgets of INR 4-5 crore, ensuring maximum ROI across all campaigns. Analytics & Reporting: Analyze performance data to extract insights, make data-driven decisions, and provide actionable recommendations. Ensure accurate tracking and attribution of all digital marketing activities. Multi-Brand Management: Handle multiple ad accounts and campaigns for various brands, ensuring alignment with overall marketing objectives and strategies. Cross-Functional Coordination: Collaborate effectively with cross-functional teams including creative, content, product, and sales teams to ensure campaigns are aligned with brand messaging and objectives. Optimization & Scaling: Continuously test, measure, and optimize campaigns to improve key performance metrics such as CPA, ROAS, CTR, and conversion rates. Market Trends & Best Practices: Stay updated on the latest digital marketing trends, tools, and technologies to keep our strategies ahead of the curve. Qualifications: 5+ years of experience in performance marketing, specifically within Retail, E-commerce, or product-based industries. Knowledge of programmatic advertising is required. Proven expertise in managing large advertising budgets (4-5 crore annually) and achieving targeted ROAS. Hands-on experience with Google Ads, Meta Ads, and in-depth knowledge of key metrics, attribution models, and advanced analytics. Experience in managing multiple brands and advertising accounts simultaneously. Strong analytical skills with the ability to interpret data and make informed decisions. Excellent communication and project management skills to coordinate with cross-functional teams. Certification in Google Ads or Facebook Blueprint is a plus. A Master's degree in MBA, Marketing, Business, or a related field is a plus. Experience in marketing for offline stores is an advantage.

Description We are seeking a highly motivated individual with 4-14 years of experience in K-theory to join our research team in India. The ideal candidate will possess strong analytical skills and have a proven track record of conducting significant research in this area. Responsibilities Conduct research and analysis in K-theory and related areas. Collaborate with team members on mathematical modeling and problem-solving. Publish and present findings in academic journals and conferences. Engage in discussions and workshops to share knowledge and insights in K-theory. Mentor junior researchers and students in K-theory concepts and applications. Skills and Qualifications PhD in Mathematics or a related field with a focus on K-theory or Algebraic Topology. Strong analytical and problem-solving skills. Proficiency in mathematical software such as MATLAB, Mathematica, or similar tools. Experience with research methodologies and academic writing. Ability to work collaboratively in a team environment and communicate complex concepts clearly.

Install and Configure Databases, Environment Setup,Database Design,Monitor Performance,Optimization Techniques,Backup Strategy,Disaster Recovery Planning,Restore and Recovery,Access Control,Patch Management

Role & responsibilities Manage day-to-day production activities ensuring target achievement with optimal resource utilization. Coordinate with R&D and QA/QC teams to implement new formulations and ensure batch consistency. Monitor process parameters, troubleshoot operational issues, and maintain production log sheets. Supervise a team of operators and ensure adherence to safety and quality standards. Conduct root cause analysis for production deviations and implement corrective actions. Collaborate with supply chain and stores departments for raw material and finished goods management Preferred candidate profile Production Planning & Execution Batch Processing & Recipe Optimization Textile Chemical Formulations (Pretreatment, Dyeing, Finishing Agents) SOP Development & Implementation Quality Assurance & Lab Testing Coordination Inventory & Raw Material Management EHS Compliance (Environment, Health & Safety) Team Supervision & Shift Management ERP Systems /MS Excel Proficiency Candidates from Textile Chemical Manufacturing is highly preferred with MSc Chemistry degree.

Job Summary We are seeking a highly skilled Sr. Developer with 6 to 12 years of experience to join our team. The ideal candidate will have extensive experience in Stibo and will be responsible for developing and maintaining high-quality software solutions. This role offers a hybrid work model with day shifts and does not require travel. Responsibilities Develop and maintain high-quality software solutions using Stibo. Collaborate with cross-functional teams to define design and ship new features. Ensure the performance quality and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality organization and automation. Participate in code reviews and provide constructive feedback to team members. Work closely with stakeholders to understand business requirements and translate them into technical specifications. Provide technical guidance and mentorship to junior developers. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Contribute to the continuous improvement of development processes and methodologies. Develop and execute unit tests to ensure the quality of the code. Document software designs and code to ensure maintainability and knowledge transfer. Collaborate with the QA team to ensure thorough testing of software solutions. Qualifications Possess a minimum of 8 years of experience in software development. Have extensive experience with Stibo. Demonstrate strong problem-solving skills and attention to detail. Exhibit excellent communication and collaboration skills. Show proficiency in software development methodologies and best practices. Have a proven track record of delivering high-quality software solutions. Be able to work effectively in a hybrid work model. Display a strong understanding of software performance optimization techniques. Have experience with code versioning tools such as Git. Show the ability to mentor and guide junior developers. Demonstrate a commitment to continuous learning and professional development. Possess a strong understanding of software testing and quality assurance processes.

Experience: Min 3 Years We are actively seeking a highly skilled and accomplished Data Scientist with a minimum of 3 years of experience The ideal candidate should have deep understanding in designing and developing applications based on Large Language Models (LLMs) A deep understanding of foundational models, frameworks, and techniques is crucial for success in this role, apply innovative solutions to complex problems Additionally, expertise in working within cloud computing environments to deploy and manage machine learning models is essential, Job Responsibilities- Design, develop, and implement state-of-the-art generative AI models, Collaborate with cross-functional teams to define project goals, research requirements, and deliver innovative solutions, Optimize solutions through thorough research, experimentation, and advanced problem-solving techniques, Keep up-to-date with the newest developments in generative AI, deep learning, and associated areas, integrating emerging methods into the teams processes, Develop and maintain clear and concise documentation of generative AI models, processes, and results, Communicate complex concepts and results effectively to both technical and non-technical stakeholders, Provide support and guidance to team members, contributing to a positive and collaborative working environment, Qualifications- Design, development, and deployment of LLM-based applications, Proficient coding skills in Python and SQL, Solid understanding of ML/DL algorithms, neural networks, and optimization techniques, Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Thorough understanding of prompt engineering, including refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs), Proficiency in LangChain/llamaindex, Hugging Face Transformers, and vector databases (e-g , Pinecone, Milvus, FAISS), Knowledge of vector databases and embeddings, Experience in cloud computing platforms: AWS preferred/GCP/Azure, Experience with large-scale data processing and distributed computing is a plus, API understanding, Additional Qualifications- AWS working understanding e-g Lambda,Sagemaker, Vector databases,

Job Title: ML Engineer Location: Bengaluru, KA (Hybrid) Duration: 12 Months (Possible extension) Job Type: Contract Role Job Description: Role Overview: Client is seeking a Machine Learning Engineer to develop, deploy, and optimize ML models for industrial and business applications The ideal candidate will have expertise in machine learning, deep learning, MLOps, and cloud-based AI solutions, working closely with data scientists, software engineers, and domain experts to enhance decision-making and automation within the organization, Required Skills & Experience: Technical Expertise: 3-7 years of experience in machine learning, deep learning, and AI model development, Proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, and MLflow, Strong background in statistics, probability, and optimization techniques, Experience with cloud ML tools (Azure ML, AWS SageMaker, GCP Vertex AI), Knowledge of big data technologies (Spark, Hadoop, Databricks) and SQL/NoSQL databases, Experience in computer vision (OpenCV, YOLO, Detectron) or NLP (Transformers, BERT, GPT models) is a plus, Data Engineering & MLOps: Strong experience in building data pipelines, feature stores, and CI/CD for ML models, Proficiency in Docker, Kubernetes, Airflow, and model versioning techniques, Hands-on experience with vector databases and embedding techniques, Problem-Solving & Business Impact: Ability to translate business problems into ML solutions, Strong analytical mindset and problem-solving skills, Knowledge of AI ethics, bias mitigation, and explainability in ML models, Preferred Qualifications: Bachelors/Masters/PhD in Computer Science, Data Science, AI, or related fields, Experience in industrial AI applications, IoT-based analytics, or digital transformation projects, Exposure to edge AI, federated learning, and real-time ML applications

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.