9039 Machine Learning Jobs - Page 37

Join us as a Data Governance Analyst at Barclays, where you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards You'll spearhead the evolution of our digital landscape, driving innovation and excellence You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences To be successful as Data Governance Analyst, you should have experience with: Data and Record governance, data controls, data lineage and associated methodologies Experience in data products, cloud and data warehouses Business Domain (Retail or Banking) and Regulatory reporting experience Working in a regulated environment and solid understanding of data and control risk management SQL and related skill set Knowledge is required Additional Relevant Skills Include Understanding of different technologies around the execution of data control Ability to proactively drive change Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls Proficiency in data analytics and insight generation to derive actionable insights from data AWS (Any Cloud) and related components and Python Skill set will have added advantage You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills This role is based out of Pune Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification Execution of data cleansing and transformation tasks to prepare data for analysis Designing and building data pipelines to automate data movement and processing Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems Documentation of data quality findings and recommendations for improvement Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions/ business divisions Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda Take ownership for managing risk and strengthening controls in relation to the work done Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively Communicate complex information 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience Influence or convince stakeholders to achieve outcomes All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave

Looking for a skilled Java Backend professional with 5 to 10 years of experience. Bangalore and requires an immediate notice period. Roles and Responsibility Design, develop, and test Java-based backend applications. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain high-quality, efficient, and scalable code. Troubleshoot and resolve technical issues efficiently. Participate in code reviews and contribute to improving overall code quality. Stay updated with industry trends and emerging technologies. Job Requirements Strong proficiency in Java programming language. Experience with Java backend development frameworks and tools. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Ability to adapt to changing priorities and deadlines. Employment type: Contract

We are looking for a skilled Data Engineer with 5-10 years of experience to join our team in Pune. The ideal candidate will have a strong background in data engineering and excellent problem-solving skills. Roles and Responsibility Design, develop, and implement data pipelines and architectures. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale data systems and databases. Ensure data quality, integrity, and security. Optimize data processing and analysis workflows. Participate in code reviews and contribute to improving overall code quality. Job Requirements Strong proficiency in programming languages such as Python or Java. Experience with big data technologies like Hadoop or Spark. Knowledge of database management systems like MySQL or NoSQL. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Notice period: Immediate joiners preferred.

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

B. Tech / B.E. from a Tier-1 Institution (IITs, IISc, IIITs, BITS, NITs or similar institutions), preferably in Computer Science, IT, Electronics Engineering, Electrical Engineering, Mathematics or any other related field. Minimum 2+ years of hands-on experience in machine learning, deep learning, or computer vision roles. Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras. In-depth knowledge of CNNs, Transformers, Siamese networks, contrastive learning, and embedding space analysis. Proficient in Python and experienced with largescale data processing tools like Spark, Dask, or Hadoop. Prior experience working with biometric, or image datasets (face, iris, fingerprint) is desirable. • Strong understanding of data cleaning, clustering (e.g., DBSCAN, K-Means), anomaly detection, and unsupervised learning. Knowledge of privacy-preserving techniques such as federated learning, differential privacy & homomorphic encryption is a plus. Job Profile Design and develop state-of-the-art deep learning models for biometric recognition (facial, fingerprint, iris) and fraud detection using convolutional neural networks (CNNs), transformers, and hybrid architectures. Lead the design of end-to-end AI pipelines: data ingestion, pre-processing, model training, evaluation, and deployment in production environments. Conduct thorough error analysis A/B testing, and performance evaluations to identify weaknesses and improve recognition accuracy and system efficiency. Architect scalable data pipelines for image and biometric signal cleaning, feature extraction, clustering, and deduplication at the national scale. Collaborate with domain experts, biometric vendors, and legal/policy teams to ensure technological solutions are interpretable, robust, and policy compliant. Monitor system drift, adversarial threats, and fraud patterns in biometric usage across the Aadhaar ecosystem. Publish internal technical reports and participate in peer reviewed research where appropriate. Mentor and guide junior data scientists and ML engineers in best practices. What We Offer Unique opportunity to work on the largest biometric identity system in the world. Access to UIDAIs unparalleled scale of identity data and secure research environments. Competitive compensation and benefits tailored for top-tier AI talent in the public sector. A mission-driven organization with direct impact on national scale governance, security, and inclusion

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What Youll Do Design and build stable and scalable AI-based solutions, PoCs and first versions of new products & features. Make critical design decisions selecting underlying technologies. Iterate rapidly experimenting with GenAI, developing both front and backend components. Work alongside colleagues in a cross-functional team to develop and deliver modular, reusable components, ensuring they can be seamlessly integrated across a diverse array of cloud technology environments. Explore and assess new technologies in the field of generative AI, Large Language Models (LLMs), AI-augmented development, tools, and infrastructure to evolve existing highly used functionalities and services in the cloud. Design, maintain, and optimize the framework for collecting, processing, transforming, and granting access to data for GenAI applications. Tech Expertise: SAP BTP, Cloud Foundry/Kyma, Docker, Cloud-Native Development, TypeScript, SAP CAP, UI5, React, Jenkins, Git, GitOps, DevOps, Python. What You Bring Proven experience developing solutions with SAP Business Technology Platform, ideally in combination with SAP ERP/SAP S/4HANA A solid understanding of AI modeling and methodology and tools in addition to general AI/ML. Prior experience in conceiving microservice environments including containerization and implementation with Cloud Foundry, Kubernetes, Kyma, or SAP AI Core Deep knowledge of software development with Python and JavaScript. Experience with others such as SAP UI5, ABAP, or JAVA is a plus. A strong understanding of machine Learning and AI frameworks such as PyTorch, TensorFlow, SAP HANA APL/PAL, scikit-learn, and their application to business environments. Prior experience with cloud/hybrid machine learning, data integration, data modeling, data analysis, integrations, and the development of applications and architectures Extensive knowledge in statistics, probability, and linear algebra with superior analytical skills. Exceptional presentation and facilitation skills, with the ability to effectively communicate complex information. Team-oriented with demonstrated leadership and mentoring skills. 1.5 -2 years of relevant professional experience and a relevant college degree Meet your team Within S/4HANA Hub - Delivery @ Scale - we help our customers with Intelligent Enterprise Adoption through business process Innovation, Automation and Intelligence. The focus is on working with our S/4HANA Industry and LoB domains etc., to solve real-world business problems through our easy-to-consume service offerings, packages and accelerators. We do this through the right mix of process / functional expertise, technology expertise and innovative practices. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 421281 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid. Requisition ID: 421281 Posted Date: Jun 26, 2025 Work Area: Consulting and Professional Services Career Status: Graduate Employment Type: Regular Full Time Expected Travel: 0 - 10%

Netweb Technologies is a leading Indian-origin OEM specializing in High-end Computing Solutions (HCS). We take pride in developing homegrown compute and storage technologies, serving businesses, academia, and research organizations. With a strong commitment to the "Make in India" policy, our state-of-the-art supercomputing infrastructure is at the forefront of innovation. As a key player eligible for incentives under the IT Hardware PLI and Telecom and Networking PLI schemes, we continuously strive for excellence in our offerings. With a widespread presence across India and a track record of success, Netweb Technologies remains dedicated to providing high-performance computing solutions. Job Description As an AI Engineer, you will play a pivotal role in leading the design, development, and implementation of artificial intelligence (AI) solutions within our organization. You will be responsible for driving AI initiatives, collaborating with cross-functional teams, and ensuring the successful delivery of AI projects that align with business objectives. Develop and execute AI strategy and roadmap. Identify opportunities for AI-driven innovation and competitive advantage. Lead a team of AI engineers and data scientists in designing and implementing AI solutions. Provide technical guidance, mentorship, and support to team members. Architect scalable and robust AI systems, including data pipelines, machine learning models, and inference engines. Evaluate and select appropriate AI technologies, frameworks, and tools. Lead the end-to-end development lifecycle of AI projects, from concept to production deployment. Collaborate with data engineers, software developers, and domain experts to integrate AI solutions into existing systems. Oversee the development and optimization of machine learning models, deep learning algorithms, and natural language processing (NLP) solutions. Conduct performance tuning, hyperparameter optimization, and model evaluation. Ensure data quality, integrity, and security across AI workflows. Implement data governance policies and best practices for AI-driven applications. Drive experimentation and prototyping of new AI techniques, algorithms, and technologies. Stay updated with the latest advancements in AI research and apply relevant innovations to projects. Collaborate with stakeholders, product managers, and business leaders to understand requirements and priorities. Communicate technical concepts, project status, and outcomes effectively to nontechnical stakeholders. Qualifications Bachelor s or master s degree in computer science, Engineering, or related field. Strong Knowledge in Linux. Strong programming skills in languages such as Python, C, or C++, with experience in AI frameworks like TensorFlow, PyTorch, or Scikit-Learn. Solid understanding of data science concepts, statistical analysis, and data visualization. Excellent leadership, communication, and problem-solving skills. Ability to work in a fast-paced, collaborative environment and manage multiple priorities effectively. Contact :

We are looking for a highly capable machine learning engineer to optimize our deep learning based algorithms. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI softwares predictive automation capabilities. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Machine Learning Engineer Responsibilities: Consulting with managers to determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information for various applications. Solving complex problems with multi-layered data sets, as well as optimising existing machine learning libraries and frameworks. Developing ML algorithms to analyse huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Machine Learning Engineer Requirements: Bachelors degree in computer science, data science, or a related field. Master s degree in computer science, computational linguistics, data analytics, or similar will be advantageous. At least two years experience as a machine learning engineer. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organisational abilities.

Program manage end to end implementation of voice AI projects with government & enterprise partners Manage & coordinate across multiple AI technology vendors, ensuring alignment with project goals and timelines Oversee product validation & Reporting Required Candidate profile 3+ years of experience as a Program Manager AI The candidate should have hands on experience in Artificial intelligence or Machine Learning projects

Mulund Position: Python Developer Experience Required: 2 to 5 years Salary Range: 15,000 to 45,000 per month About the Role: We are seeking an experienced Python Developer with 2 to 5 years of professional experience to join our dynamic team. The ideal candidate will be responsible for developing efficient, scalable, and innovative applications while ensuring high performance and responsiveness. Key Responsibilities: Develop, test, and deploy software solutions using Python. Design and implement robust backend systems and APIs. Collaborate with front-end developers to integrate server-side logic into user-facing components. Write clean, reusable, and efficient code while following best practices. Debug, troubleshoot, and improve existing applications. Work with databases like MySQL, PostgreSQL, or MongoDB for data management. Participate in code reviews and team discussions to improve overall project quality. Stay up-to-date with industry trends and advancements in Python and related technologies. Requirements: Technical Skills: Proficiency in Python and experience with frameworks like Django, Flask, or FastAPI. Hands-on experience in building RESTful APIs. Solid understanding of relational and NoSQL databases. Familiarity with front-end basics like HTML, CSS, and JavaScript is a plus. Knowledge of version control systems such as Git. Basic understanding of CI/CD pipelines and deployment processes. Soft Skills: Strong analytical and problem-solving abilities. Good communication and teamwork skills. Eagerness to learn and adapt to new technologies. Preferred Skills: Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization tools like Docker. Understanding of asynchronous programming and task queues like Celery. Exposure to machine learning libraries or tools is a plus. Why Join Us? Opportunity to work on challenging projects and expand your skill set. A collaborative and supportive work environment. Potential for career growth and development. Job Types: Full-time, Permanent Pay: 15,000.00 45,000.00 per month Schedule: Day shift Morning shift Education: Bachelor s (Preferred) Experience: Python: 3 years (Preferred) Django: 2 years (Preferred) Work Location: In person

We are looking for a skilled Data Analyst to join our team at IDESLABS PRIVATE LIMITED, with 6-10 years of experience in the field. The ideal candidate will have a strong background in data analysis and interpretation. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for accurate data storage and retrieval. Create reports and dashboards to present findings to stakeholders. Collaborate with cross-functional teams to drive business decisions. Design and implement data quality checks to ensure accuracy and integrity. Stay up-to-date with industry trends and emerging technologies in data analysis. Job Requirements Strong proficiency in data analysis tools and techniques. Excellent problem-solving skills and attention to detail. Ability to work effectively in a team environment. Strong communication and interpersonal skills. Experience with data visualization tools and reporting software. Strong understanding of data modeling and database design principles. Familiarity with industry-specific regulations and standards.

We are looking for a skilled Senior Data Engineer with 5-8 years of experience to join our team at IDESLABS PRIVATE LIMITED. The ideal candidate will have a strong background in data engineering and excellent problem-solving skills. Roles and Responsibility Design, develop, and implement large-scale data pipelines and architectures. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data systems and databases. Ensure data quality, integrity, and security. Optimize data processing workflows for improved performance and efficiency. Troubleshoot and resolve technical issues related to data engineering. Job Requirements Strong knowledge of data engineering principles and practices. Experience with data modeling, database design, and data warehousing. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.

Practice Overview PracticeData and Analytics (DNA) - Analytics Consulting Role Associate Director - Data & Analytics.LocationGurugram, India At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally. Our Mission and Purpose Mission: Leverage Indias high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We are looking to hire an Associate Director in Data Science & Data Engineering Track. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background (Data Science) Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required : Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Technical Background (Data Engineering) Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team. Roles and levels In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.

At least 3 yr as SAS administration Hands on experience on Linux(Must) Incident and Change management via tools like service now Experienced in working with global delivery model for international clients Infrastructure Security Principles Good networking knowledge (Routing, IP, TCP)

Job Description JOB SUMMARY We are looking for a developer to augment the tech capabilities with respect to development of complementary tools for existing applications by using next generation development tools. Design, develop, test, and deploy scalable and robust software applications. Collaborate with cross-functional teams including designers, product managers, and other developers. Write clean, maintainable, and efficient code. Participate in code reviews, contribute to technical discussions, and mentor junior developers. Troubleshoot and debug applications to optimize performance and ensure reliability. Stay up-to-date with emerging technologies and industry trends. Key Responsibility For existing application, for any enhancement or new implementation, Build efficient, testable, and reusable components development need to be done of any existing modules or new modules to be built as per need Solve complex performance problems and architectural challenges Need to design applications which handles huge data efficiently Skills Skill Area Application / API Development Need to develop new application or API for internal or external users HTML, CSS, and JavaScript Frameworks like React, Angular, or Vue.js Understanding of UI/UX design principles Programming languages like Python, Java (Android), PHP, Node.js, or Ruby Frameworks like Django or Flask (Python), Express.js (Node.js) Should have strong knowledge of MySQL, SQL Server, MongoDB, PostgreSQL, Oracle queries, Procedures and Functions RESTful API design and integration using Laravel Framework Understanding of web architecture and cloud technologies Knowledge of DevOps practices (CI/CD) and tools like GitLab or Jenkins QUALIFICATION and EXPERIENCE Must be a Graduate, and post-graduation degree / alternative diploma in Computer Science / Information Technology, or MCA in Computer Science/MTech / B.Tech Developer role with expertise in PHP / Laravel / JAVA / Python programming and Machine Learning methodologies. Experience of 5+ years.

About the Role: Why This Position Matters The Project Lead Maternal Health Innovation will anchor one of iKures most strategic initiatives: transforming maternal health outcomes in rural and low-resource settings through a holistic, tech-enabled, and scalable care model. This is a systems leadership role, where you'll bridge community and institutional care, drive innovation across the maternal care continuum, and integrate with public health networks like Manyata to improve outcomes and set national benchmarks for dignified, impactful care. Key Responsibilities Strategic Project Leadership Lead design, rollout, and impact optimization of a maternal health delivery model that spans the full continuum of care. Embed cutting-edge innovations (AI diagnostics, remote monitoring, digital protocols) into delivery frameworks. Ensure high-quality care coordination and follow-up across touchpoints. Health Systems Integration (B2B) Drive strong operational linkages with the Manyata network and other quality-assured facilities to improve referral pathways. Engage with ASHAs, ANMs, PHCs, and district authorities to embed iKures model within the public health system. Align project goals with national priorities like RMNCH+A, JSY, JSSK, and LaQshya. Community Engagement & B2C Delivery Oversee last-mile service delivery via CHWs, mobile clinics, and digital health tools. Design outreach and education campaigns to increase awareness and uptake of maternal health services. Use a B2C approach to deliver personalized care at scale. Partnerships & Stakeholder Development Build relationships with government bodies, NGOs, research institutions, and donor agencies. Represent iKure in forums that shape the future of maternal and child health delivery in India. Monitoring, Learning & Reporting Design M&E systems to track ANC/PNC coverage, high-risk pregnancy interventions, and care continuity. Use data insights to refine strategy and report impact to internal and external stakeholders. Capacity Building Train and empower ASHAs, ANMs, CHWs, and internal teams on maternal care protocols and digital workflows. Foster a collaborative learning culture within the team. Required Qualifications Masters degree in Public Health, Social Work, Healthcare Management, or a related field. 7 to 12 years of experience in maternal health or public health systems, ideally in rural or low-income settings. In-depth knowledge of Indias maternal health ecosystem, including JSY, JSSK, Manyata, and RMNCH+A. Demonstrated leadership in managing large-scale programs with innovation and systems thinking. Strong interpersonal, analytical, and communication skills. Preferred Attributes Experience working with ASHAs/ANMs and CHWs. Familiarity with digital health tools, telemedicine, and AI/ML applications in MCH. Exposure to donor-funded programs or government partnerships. Ability to manage decentralized teams and field operations. Interested candidates please share your updated resume at nilakshi.dutta@ikure.in or contact me on 9123843379 for further details.

Strong knowledge of PHP web frameworks {{such as Codeigniter depending on your technology stack. Understanding the fully synchronous behavior of PHP. Understanding of MVC design patterns. understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. Knowledge of object oriented PHP programming. Sheetal Tanwar

Building and maintaining systems for extracting, pre- processing and modelling for different data streams, as well as integrating data across different sources. Expertise in visualizations and data analysis. Creating predictive and prescriptive models that could have a positive impact on the business. Integrating data engineering and modelling algorithms/techniques and solutions into the backend systems Develop model monitoring infrastructure for periodic monitoring and upgradation of data science strategies and models Building & implementing state-of-the-art deep learning models. Working with various stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions. R Programming / Python Scripting / SQL; Experience in Finance, R-Studio/Shiny. Experience 5 - 7 Years . Industry IT Software - Application Programming / Maintenance Qualification B.E Key Skills Data Analyst R Programming Python R Programmer

We are looking for a skilled Technician to join our team at Vijaya Diagnostic Centre, responsible for operating and maintaining CT and MRI machines. The ideal candidate will have 2-7 years of experience in the field. Roles and Responsibility Operate and maintain CT and MRI machines for optimal performance. Prepare patients for procedures and ensure their safety during scans. Collaborate with radiologists to interpret scan results accurately. Maintain patient records and reports confidentially. Stay updated on new technologies and techniques in medical imaging. Participate in quality control measures to improve patient care. Job Requirements Minimum 2 years of experience in operating CT and MRI machines. Strong knowledge of medical imaging principles and practices. Ability to work effectively in a fast-paced environment. Excellent communication skills for interacting with patients and staff. Familiarity with hospital protocols and procedures. Commitment to delivering high-quality patient care.

We are looking for a highly skilled and experienced Assistant to join our Imaging Services team at Vijaya Diagnostic Centre. The ideal candidate will have 1-2 years of experience in the field. Roles and Responsibility Assist in planning, organizing, and implementing imaging services activities. Provide administrative support to ensure smooth operations. Collaborate with healthcare professionals to provide high-quality patient care. Maintain accurate records and reports. Develop and implement new ideas to improve imaging services quality. Work closely with the medical team to achieve departmental goals. Job Requirements Minimum 1 year of experience in imaging services or a related field. Strong knowledge of healthcare industry practices and procedures. Excellent communication and interpersonal skills. Ability to work effectively in a fast-paced environment. Strong analytical and problem-solving skills. Ability to maintain confidentiality and handle sensitive information.

We are looking for a highly skilled and experienced AI Developer with expertise in Python and API development to join our team at IDESLABS PRIVATE LIMITED. The ideal candidate will have 2-5 years of experience. Roles and Responsibility Design, develop, and deploy AI models using Python. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain APIs for data exchange between systems. Troubleshoot and resolve technical issues related to AI model deployment. Implement automated testing and quality assurance processes for AI models. Stay updated with industry trends and advancements in AI technology. Job Requirements Strong proficiency in Python programming language. Experience with API development and design. Knowledge of machine learning algorithms and deep learning techniques. Familiarity with database management systems and data modeling concepts. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

Join us as an "Planning & MI System" at Barclays, where you'll support BAU operations, with greater emphasis on a smooth operation of the BAU, Minor-works changes. Executes the day-to-day operational support for the Cost, Planning & Stress Testing Systems and first point of contact for business user queries and change initiatives. Understanding of Hyperion Cost, Planning & Stress Testing with ability to support multiple submissions MTP/Outlook/STP/IST/PRA/EBA and implementation of solutions to Business requirement. Support testing and implementation of appropriate solutions and changes in a controlled manner. This involves delivering smooth Operational monitoring of the data interaction between upstream and downstream systems and pre-emptively highlight/resolve any possible breaks, Application readiness, managing stakeholders expectation, achieving targeted business metrics and ensuring compliance with the defined SLAs. To be a successful "Planning & MI System", you should have experience with (Mandatory): 1.Graduate degree (bachelor’s in commerce/technology or equivalent). 2.Strong Knowledge of Hyperion Planning & Smart view and hierarchy knowledge across applications. 3.Hands on experience of Budgeting/forecasting/Stress testing/hierarchy management. 4.Analysis and evaluation of data quality issues and trends and perform root cause analysis to clearly articulate the problem. Some other highly valued skills may include (Mandatory): Knowledge of Financial Services in banking environment. Good data Analytical and problem-solving skills. Desirable skills/Preferred Qualifications (Not mandatory): Should have excellent inter-personal and communication skills: strong verbal and written communication skills, able to clearly articulate complicated issues to management and other stakeholders. Should understand Change process. Takes responsibility for end results of a team’s operational processing and activities. Understanding of Barclays’ products and businesses. You may be assessed on the key critical skills relevant for success in role, such as budgeting, forecasting, stress testing and hierarchy management, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. Location: Noida Purpose of the role To monitor and ensure adherence to data quality standards, processes, and initiatives to enhance overall data quality and enable effective decision-making. Accountabilities Identification and prioritisation of critical data elements requiring quality improvement. Development and maintenance of data quality dashboards and reports to track progress and communicate data quality performance. Analysis and evaluation of data quality issues and trends and perform root cause analysis to clearly articulate the problem. Development and implementation of thematic data quality strategies and policies aligned with the bank's overall data governance framework. Triage, prioritisation and determination of criticality of data quality issues managing associated risks, issues and dependencies, driving management and facilitation of data quality issue remediation and return to green plans. Definition of requirements and specifications for proposed data remediation efforts to meet regulatory commitments, risk controls and business objectives. Recommendation and implementation of data quality improvement technologies and tools, including use of machine learning. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Key Responsibilities: Lead Inventory and Pricing Optimization Initiatives: Design and implement predictive and prescriptive models to optimize inventory placement, demand forecasting, pricing optimization, clearance models etc. Advanced Modeling & Machine Learning: Apply techniques such as time series forecasting, probabilistic modeling, optimization algorithms (e.g., MIP), and reinforcement learning to solve inventory and pricing-related problems. Cross-functional Collaboration: Partner with stakeholders across supply chain, merchandising, and technology to align machine learning/analytics initiatives with business goals and operational constraints. Innovation & Thought Leadership: Identify emerging trends and technologies in supply chain and pricing optimization; evaluate and prototype novel and pragmatic solutions to complex problems. Mentoring & Leadership: Provide technical mentorship to other data scientists and contribute to the overall impactful growth of the organization. Effective Communication: Have effective communication skills to convey complex quantitative analyses, analytic methodologies, and findings in a clear, concise, and actionable manner Operational Impact: Translate data insights into actionable recommendations that directly influence decisions around inventory planning, replenishment, and distribution. What We're Looking For : PhD or Master’s degree in a quantitative field from a reputed college (e.g., Operations Research, Statistics, Computer Science) 10+ years of industry experience in data science, with a strong focus on inventory, pricing and supply chain optimization Deep understanding of inventory theory, supply chain planning, stochastic modeling, forecasting and optimization techniques Proficient in Python, SQL, and one or more optimization libraries (e.g., Gurobi, Pyomo) Strong background in ML model development and experience in implementing large models in production. Experience with large-scale data platforms (e.g., Spark, Snowflake, Databricks) Strong business acumen with the ability to communicate complex technical ideas to non-technical stakeholders Preferred Qualifications: Experience in retail, e-commerce, or manufacturing supply chains Familiarity with WMS, and/or Network optimization tools (Optilogic, Llamasoft) Experience working in Agile or cross-functional product teams Prior experience leading technical teams or projects Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com. Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do: Build Championship Teams Obsessed with Fans Limitless Entrepreneurial Spirit Determined and Relentless Mindset Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

Job Description: Key Responsibilities: Design and develop machine learning and deep learning systems using frameworks like TensorFlow, PyTorch, and Scikit-learn. Implement real-time systems for forecasting, optimization, and personalized recommendations. Research and apply advanced AI/ML techniques, including Generative AI models (e.g., GPT, LLaMA) and NLP architectures. Lead end-to-end machine learning projects, from problem framing to deployment and monitoring. Manage model lifecycle activities, including training, testing, retraining, and fine-tuning for optimal performance. Collaborate with analytics teams, practice leads, subject matter experts, and customer teams to understand business objectives and technical requirements. Conduct statistical analysis to address business challenges and drive innovation in AI/ML applications. Deploy machine learning applications on cloud platforms (e.g., GCP, Azure, AWS) and ensure seamless integration with existing systems. Monitor system performance, address data drift, and ensure scalability and adaptability to evolving requirements. Qualifications: Minimum 7+ years for Principal Data Scientist roles (3+ years for Data Scientist roles) with proven expertise in AI/ML, particularly in Generative AI, NLP, and computer vision. Proficient in Python, Java, and R. Strong expertise in TensorFlow, PyTorch, Scikit-learn, Django, Flask, Numpy, and Pandas. Comprehensive knowledge of data structures, SQL, multi-threading, and APIs (RESTful, OData). Hands-on experience with Tableau and Power BI for data visualization. Strong understanding of statistics, probability, algorithms, and optimization techniques. Experience deploying ML applications on GCP, Azure, or AWS. Familiarity with ERP/SAP integration, post-production support, and lifecycle management of ML systems. Industry experience in retail, telecom, or supply chain optimization is a plus. Exceptional problem-solving skills, strong leadership capabilities, and excellent communication skills.

Technical Program Management Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: As a Technical Program Manager you will work closely with engineering, Infrastructure and partner teams to deliver world class products. You will represent the team internally in the various product and cross functional initiatives, define priorities, bring clarity and lead continuous agile development. Successful candidates will have a technical background and be passionate about delivering high quality solutions with effective and efficient processes. What you'll do- Wear Multiple Hats as TPM, EM and Product to get things done. Drive teamwork and collaboration across teams. Manage a cross-functional POD/PODs end to end Expertise in analyzing partner API structures, behavior and their compatibility with Paytm system. Should be proficient enough in getting partner APIs integrated on the Paytm platform with minimal changes to the platform ensuring 100% compliance and security Champion execution to navigate through the ambiguity and lead the team with clear prioritization, goals & solid plan of action. Communicate program plans, status, risks and mitigation strategies to key cross-functional stakeholders. Provide subject matter expertise and identify key technology solutions/services to help define team roadmap. Drive internal process improvements across multiple teams and functions. Ability to communicate effectively with both technical and non-technical individuals. Skills that will help you succeed in this role: 4+ years of proven track record of handling complex project spanning across multiple teams (internal & external) in a time bound fashion Understanding of Software Development & Release Processes Understanding of API and postman collection. Experience into Security Compliance/ audit is required A Great Hustler with experience navigating through ambiguity and building programs from scratch Strong oral and written communication skills are crucial, as well as ability to think clearly, analyze quantitatively, problem-solve, scope technical requirements and prioritize tasks. Track Record of key success metric being Getting it done to drive impact for users & business Desirable- Analytical skills and hands on experience on few analytical tools like tableau Why join us: Because you get an opportunity to make a difference, and have a great time doing that. You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. You should work with us if you think seriously about what technology can do for people. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be. Learn more about the exciting work we do in Tech by reading our Engineering blogs . Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!