91666 Python Jobs - Page 18

Proficient in application, data, and infrastructure architecture disciplines. Advanced knowledge of architecture, design, and business processes. Hands-on experience with AWS. Proficiency in modern programming languages such as Python and Scala. Expertise in Big Data technologies like Hadoop, Spark, and PySpark. Experience with deployment tools for CI/CD, such as Jenkins. Design and develop integration solutions involving Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions. Apply system development lifecycle methodologies, such as Waterfall and Agile. Understand and implement data architecture and modeling practices, including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional modeling, and metadata modeling. Utilize knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development, and Big Data solutions. Work collaboratively in teams to develop meaningful relationships and achieve common goals. Strong analytical skills with deep expertise in SQL. Solid understanding of Big Data concepts, particularly with Spark and PySpark/Scala. Experience with CI/CD using Jenkins. Familiarity with NoSQL databases. Excellent communication skills.

Hello Connections , Exciting Opportunity Alert !! We're on the hunt for passionate individuals to join our dynamic team as Data Engineer Job Profile : Data Engineers Experience : Minimum 5 to Maximum 8 Yrs of exp Location : Chennai / Pune Mandatory Skills : Big Data | Hadoop | pyspark | spark | sparkSql | Hive Qualification : B.TECH / B.E / MCA / Computer Science Background - Any Specification How to Apply? Send your CV to: sipriyar@sightspectrum.in Contact Number - 6383476138 Don't miss out on this amazing opportunity to accelerate your professional career! #bigdata #dataengineer #hadoop #spark #python #hive #pysaprk

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 You’ll Do Migration experience is a must include - Backup/Restore or Export/Import Hands-on experience in executing large End-to-End Implementations and/or large Cloud Migrations of SAP Applications, HANA Database Migration, Upgrades, OS/DB Migrations, S/4HANA Conversion Projects etc. Hand's on Experience in upgrade or implementation of SAP Systems Upgrade includes - Release upgrades Implementations - Installation of HANA Databases , Applications - S4HANA , ERP , CRM etc Experience in Designing SAP System Landscape, Defining Implementation or Migration Strategies & Detailed Planning is big plus Ability to assist team members in the development and implementation of technical solutions (Implementations, Upgrades and Migrations) Good knowledge and understanding of SAP Application Security, Single Sign-ON Technologies, Infrastructure Security, High Availability, Disaster Recovery etc. will be a big plus Good knowledge and understanding of new dimensional SAP products, Technologies and Methodologies (S/4HANA, SAP BTP, BIGDATA, SDI , SLT , ILM) Provide technical product expertise, consulting support to SAP customer Responsible for maintaining a high degree of customer satisfaction in addition to growing and developing reference able customers Ability to manage multiple tasks, work in a team environment, understand and be responsive to project and customer needs Ability to adapt and function effectively in a fast-paced, changing environment while working under deadlines A record of taking initiatives, driving results and accepting increasing levels of responsibility Build credible relationships with peers and clients, and continuous professional learning of SAP products Ability to learn quickly and apply knowledge effectively Experience in SAP Solution Manager 7.2 setups for Technical Monitoring scenarios including BPM, Interface Monitoring Experience in SAP Solution Manager 7.2 Focused Build, Focused Run, Process & Project Management, Test Management, IT Service Management, Change Control Management etc. Knowledge and understanding of CLOUD ALM will be a big plus Own / Acquire relevant SAP Business AI skills to position / deliver SAP’s AI offerings to our customers Enhance adoption/ consumption of various SAP AI offerings in customer use cases Additional Skillsets (One Or More Combination From The Below) Good knowledge and understanding of SAP Authorization & Authentication concepts & technologies and also of SAP GRC Suites of Products including AC, IDM etc, will be big plus Good knowledge, understanding and hands-on experience of SAP Cloud Platform capabilities around Identity Authentication Services, Identity Provisioning Services etc. will be big plus Knowledge and understanding IOT & Edge Technologies, BIGDATA, Machine Learning etc. will be big plus Technical coding knowledge in Shell Scripts, SQL, JavaScript and any one of programming language like JAVA or Python is a big plus What You Bring Education & Qualifications / Skills & Competencies Bachelors or Master’s degree in: Information Systems, Engineering, Computer Science or similar degree Analytical, results-driven and have a solution-oriented approach Must be open to travel on short notice. (Long term or Short term) SAP Certifications (NetWeaver, HANA, OSDB – or a combination of these) AWS/Azure/Google Cloud : Solution or Architect certifications Technical Skills Good working knowledge of databases like HANA, Oracle, MS SQL Server, Sybase ASE, MaxDB, DB2 etc. Experience in working with SAP Applications viz. S/4HANA , SAP Fiori, SAP ERP, SAP Solution Manager, SAP GRC, ETD, SAP PI/PO, SAP BW/4HANA, SAP Analytics Cloud, SAP CPI, SAP NetWeaver etc.(Combinations of these) Experience in Technical setup of BTP services Working knowledge of Operating Systems (Windows, UNIX, Linux, OS/400, etc.) Technical skills in SQL, Database (SQL) knowledge, database management, Architecting, Advisory Work Experience Require 10-18 years of work experience for various job levels Hands-on experience in OS/DB migrations (On-premise /cloud), Unicode conversions, S/4HANA System conversions & Upgrades and implementations (Pure end user support profile - Application Maintenance Support EMS - need not apply) Location - Only Bangalore #TechConsultantT3 #SAPIndiaCSCareers #CSPostings2023 #ICC24 #SAPBTPCareers #SAPBTPDSCareers #SAPBTPAPJCareers 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 employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com 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: 422963 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: .

Position Overview Citi, the leading global financial services company, has some 200 million customer accounts and does business in more than 100 countries, providing consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, and wealth management. Additional information may be found at www.citigroup.com or www.citi.com. FX Technology is focused on delivering IT solutions to the FX Sales & Trading business. We have around 400 people with the core of our development effort based in the financial hubs of London, New York and Singapore where we face off directly to the trading desks. Our core strength is providing the technical expertise and software development skills that directly affect the ability of our business to generate revenue and several of our client facing applications such as Citi FX Velocity and FX Click are leaders in their respective markets. We are committed to hiring the brightest and best technical experts and in return can offer roles with direct business interaction on projects from electronic and algorithmic trading to grid based computation of real-time risk metrics. The FX Technology team is looking for an Intermediate-level Infrastructure Engineer based in Chennai, India to work within the FX Technology group focusing on the hardware, application infrastructure, connectivity, middleware considerations of our FX platforms and to serve as a local Lead. The successful candidate will be responsible for designing, maintaining and supporting the application infrastructure used by FX Technology. The candidate will have experience of working in a fast-paced environment and managing the design, build, deployment, support of eTrading and other FX applications in all environments. The candidate will report into the FX Infrastructure Lead located in the UK and interact with development teams as well as our business and technology teams located across the globe. Responsibilities Provide technical guidance and expertise in the areas of Linux, server hardware, network connectivity, performance engineering, web middleware, messaging middleware for all FX applications. As part of a team of Infrastructure engineers, provide guidance and direction to other members in your capacity of Intermediate level Engineer Liaise with multiple application teams and infrastructure teams to translate application requirements into an infrastructure design and then track the deployment of the agreed solutions. Performance engineering: measure, identify opportunities to improve performance and efficiency through hardware tuning, topology changes, application design. Some L3 Support for our FX eTrading platforms in particular for OS/connectivity/middleware issues. Server hardware design and purchase. Server estate management: track servers, their usage and EOVS status. Some project management duties on small-scale projects. Input into application releases that have dependencies on infrastructure changes. Work in concert with the business, development teams and Production Support to investigate issues and prevent production defects. Work in collaboration with DevOps Engineers to support DevOps initiatives. Requirements Experience / Background Experience of working in a Development and/or Systems Engineering role at the enterprise-level Extensive Expertise (sufficient to act as an FX-wide Subject-Matter Expert) in at least two of these areas: Linux, TCP/IP Networking, Low-latency Performance Engineering, Messaging Middleware, Firewalls, Server hardware Strong interest and technical focus on server infrastructure: hardware, networks, operating systems, middleware Experience in at least one of the following programming languages: Java, C++, .NET with successful delivery to a Production system Experience with Distributed Systems: Scaling, Fault-Tolerance, Load-Balancing, Networking, Security, etc. Experience in at least one of the following scripting languages: Bash/Bourne Shell, Python, Perl In addition, the following would be an advantage: Experience with high-volume low-latency highly available IT systems, understanding of their architecture and SLAs Any hands-on experience with Linux administration Any general infrastructure knowledge or hands-on skills in the areas of Message-Oriented Middleware (Solace, Tibco EMS, Tibco Rendezvous, Aeron) and Networks The candidate should show a clear understanding of the banking environment and have a strong interest in financial markets. Personal Characteristics Open-minded team player, good at building networks and leveraging resources High attention to detail Willing to take ownership of initiatives and drive them to completion Proactive, and able to work independently Excellent analytical skills Results-oriented and client-focused Ability to work under pressure, prioritize work and well organized Skills Required Strong Unix / Linux skills Solid knowledge of basic networking concepts. Messaging Middleware technologies: Solace, TIBCO Rendezvous, TIBCO EMS, TIBCO FTL, Aeron At least one programming language: Java (preferred), C++ or .NET Shell scripting and Python/Perl/Ruby/Groovy scripting In addition, the following would be an advantage: Application server technologies: Tomcat, Apache, Weblogic SSL/TLS cryptographic protocols Any UI development of custom monitoring or management tools ServiceNow integration/APIs General knowledge, interest and skills around infrastructure technologies (Linux, Networks, Storage…) ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Must Have: 8+ years of application/software development/maintenance 5+ Years of experience on Big Data Technologies like Scala, Spark/Pyspark is must. Knowledge of Scala, Java & Python programming language. Experience on any two languages is mandatory. Experience with JAVA (Core Java, J2EE, Spring Boot Restful Services), Web services (REST, SOAP), XML, Java Script, Micro services, SOA etc. Strong technical knowledge of Apache Spark, Hive, SQL, and Hadoop ecosystem Experience with developing frameworks and utility services including logging/monitoring. Experience delivering high quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Sonar, etc.). Experience creating large-scale, multi-tiered, distributed applications with Hadoop and Spark Profound knowledge implementing to different data storage solutions such as RDMBS(Oracle), Hive, HBase, Impala and NO SQL databases. Ability to work independently, multi-task, and take ownership of various analyses or reviews. Has to be results-oriented, willing and able to take ownership of engagements. Banking domain experience is a must. Strong analytical and communication skills Good to Have: Work experience in Citi or Regulatory Reporting applications. Hands on experience on cloud technologies especially around data engineering Hands on experience on AI/ML integration and creation of data pipelines Experience with vendor products like Tableau, Arcadia, Paxata is a plus Experience with API development and use of data formats is a plus Education: Bachelor’s degree/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Location: Bengaluru, Karnataka Experience: Minimum 3 Years of EdTech/IT/Corporate/Institutions Qualification: BE, BTECH, ME, MTECH, MCA (Any Degree) Shift Timing: 9:00 am to 6:00 pm (Mon to Fri) 9:00 am to 1:00 pm ( Sat) Skills & Requirements: Excellent communication skills written and verbal and negotiation skills Fluent English speaking is mandatory. Strong training experience highly preferred in Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, , PySpark, Experience with programming languages. Knowledge of functioning of academic institutions and placement process The candidate should have good interpersonal skills and networking in the market. Multi-tier architecture knowledge Excellent self-management skills (task lists, status reports, prioritization) Commitment to quality and timely deliverable Desire to understand the business Roles & Responsibilities: Training Graduate Engineers, Working professionals, Corporate freshers and Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development Develop and deliver training programs on data science topics. Experience in developing Hands-on projects and hand-holding large groups of students in the same. Create and update training materials and resources. Working experiences on embedded systems project development Experienced in all phases of product life cycle including requirements, design, coding Managing all aspects of the training cycle i.e. Training need analysis, course development, implementation and delivery, monitoring and evaluation. Ensuring quality delivery to students Establish expectations with project members and provide timely feedback Manage the work of developer resources, mentoring and coaching as needed Provide programming direction to a team of trainers . Job Type: Full-time Pay: ₹35,000.00 - ₹65,000.00 per month Experience: Data science faculty: 3 years (Preferred) Power BI : 3 years (Preferred) Machine learning: 3 years (Preferred) Language: English (Preferred) Work Location: In person

Design, build, and maintain efficient, reusable, and reliable data pipelines using GCP services. Develop batch and streaming ETL processes using PySpark, and BigQuery. Write clean and efficient code in Python for data ingestion and transformation

Role: Post Silicon Validation Engineer or ATE Engineer Location: Bangalore Mode: 5 Days office NP: less than 30 Days Exp: 2+ years Must Skills: ATE, Advantest 93K/ V 93K/HDMT, Python. Job Description: Stong in ATE Strong programming skills in Python, C/C++, and x86 Assembly. Strong understanding of the semiconductor manufacturing product life cycle. Knowledge of hardware design, such as load boards and probe cards. Familiarity with data extraction and analysis tools like JMP and Aqua. Ability to develop and debug test programs to ensure accurate results and participation in yield analysis and generation of limits. Proficiency in developing Python scripts for automation and result analysis. Experience in bench testing. Experience with HDMT, Trace, Aqua, JTAG, TAP, LDO, and Buck/boost converters. Validation exposure, test plan, report out and good communication both written and verbal skills

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Cloud Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our cloud partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. As an ideal candidate, you will have: 5+ years of software development experience 3+ years of pre-sales experience with enterprise software 3+ years of experience working with Cloud providers (AWS, Microsoft or Google) Working knowledge and ability to code with two or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with data modeling and programming database-backed applications Cloud provider certification (Associate or Professional) A MongoDB Certification What you do at MongoDB: You design systems, applications, and infrastructure to help drive some of the world's largest software development projects leveraging MongoDB You advise cloud providers’ presales on architectures, patterns, and strategies for making the best use of MongoDB You confidently articulate the business value of MongoDB solutions You partner with our Cloud account teams to help ensure success in accounts ranging from small startups to large enterprises You align to support partners and sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel You translate technical concepts and patterns into business benefits for management and executives You act as a liaison, gathering feedback from the field to relay back to the Product Management team You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well account-based marketing events You demonstrate resilience and sound judgment in dealing with business challenges You have an ability to drive customer and partner demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency You proactively seek opportunities to support and mentor other pre-sales team members and share best practices You have situational awareness and react appropriately in group settings Particularly with Cloud Partners: You understand the importance of a strong sense of urgency reflected through ability to drive partner demand within the sales territory You align to drive partner Center of Excellence strategies and create demand for MongoDB solutions You have a strong understanding of partner business model, value, and needs You successfully build and maintain effective relationships with technical partners, gaining their trust and influencing their decisions You demonstrate the ability to anticipate and respond appropriately to partner objections You are seen as a “Trusted Advisor” with technical partner stakeholders You participate in C-level partner conversations You align to provide proactive responses to help partners understand the solution and identify positive business outcomes You drive strategy and implementation of solution architecture for products and services within the cloud partner ecosystem of the region You can demonstrate technical expertise of general IT and application operations through mentorship of cloud partner organizations You create strategies that map specific industry trends to account base within cloud partner organizations You create strategies that map competitive threats within cloud partner organizations What you will learn: The rapidly expanding MongoDB product suite, including: Core database server MongoDB Atlas (fully managed cloud database service) Atlas Data Federation Atlas Full-Text Search and Atlas Vector Search Charts Other Tools and connectors - Ops/Cloud Manager, Compass, Atlas SQL, Connector for Spark, Kafka Connector, etc. Market-relevant, complementary technologies at Cloud Providers Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, Serverless, security Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling Exposure to a wide variety of market verticals and broad spectrum of interesting use cases To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID 425386

Job Description We are seeking a seasoned ML engineer/developer with strong background in software development and experience in ML ops, dev ops and ML Platform. The ideal candidate will collaborate with cross functional teams to design, implement, and optimize ML Services and Platform. A successful candidate will be a person who enjoys diving deep into ML infrastructure, doing analysis, discovering root causes, and designing long-term solutions. You will be joining our AL infra and platform Engineering Service team who is responsible for building AI Platform, AI Ops capabilities to improve operational efficiency and effectiveness of enterprise engineering cloud services - thereby improve customer experience and service resiliency. So you will have an opportunity to design, implement systems end to end by helping select the right technologies, and envisioning a long-term architecture is part of the role. Finally, we always look for enthusiastic, passionate individuals with a willingness to learn new technologies. Career Level - IC4 Responsibilities Responsibilities: Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference Implement best practices for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Develop analysis and optimization methods to improve the AI platform Capabilities Experience working in an operational environment with mission-critical tier-one live site servicing Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage Preferred Qualifications BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience 8+ years of total experience in software development Hands-on experience developing and maintaining services on a public cloud platform (e.g., AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong proficiency in programming languages such as Python, Java and ML frameworks/libraries such as Tensor flow , Pytorch or scikit-learn Strong knowledge of Container and its Orchestration technology like Kubernetes, docker Solid understanding of software engineering principles, including version control , testing and deployment automation Communicate effectively to multiple stakeholders on value and insights from data Make Recommendations and influence the AI service roadmap for our platforms & services to constantly improve Customer experience. Mentor other ML engineers/developer, and help them to develop their projects related to experimentation and evaluation. Craft a measurement strategy to evaluate the performance of complex systems against challenging requirements Develop robust methods for model monitoring in production and learning from feedback Ability to work with incomplete requirements and handle multiple projects with deadlines Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

About The Position The lead solution architect role involves designing and overseeing the implementation of home-grown and commercial-off-the-shelf IT solutions using Microsoft Azure and their integration with various systems and applications. The role involves collaborating with stakeholders, evaluating technology options, and guiding development teams to deliver scalable, secure and efficient solutions. Key Responsibilities Architectural Leadership: Serve as the Information Management Solution Architect with specific sector knowledge, setting the direction for cloud architecture and ensuring alignment with the organization's technical strategy and O&G industry standards. Uphold industry best practices and standards specific to the O&G sector. Technology Roadmap Construct and continuously update an Azure-focused technology roadmap, aligning with the organization's long-term goals. Explore and identify cutting-edge Azure services and features that can propel technological advancement. Strategically plan and implement upgrades to bolster the organization's competitive position and enhance the scalability of Azure-based solutions. Solution Design Take the lead in design and architecture complex Azure solutions, with a strong focus on ensuring scalability, robust security, and cost-effectiveness and alignment with nuanced demands of the O&G industry. Stakeholder Engagement Work in tandem with various service lines, such as engineering divisions and business stakeholders, to align Azure architectural strategies with the core business objectives and ensure the designs are in sync with the business's forward direction. Possess the ability to effectively communicate Azure technical strategies to non-technical stakeholders, thereby facilitating their participation in informed decision-making. Mentorship And Guidance Offer Azure technical leadership and mentorship to solution squads. Cultivate an environment of innovation, continuous improvement, and technical prowess across the organization. Compliance And Best Practices Guarantee Azure solutions meet regulatory demands and O&G-specific standards, including those related to safety, environment, and operations. Risk Assessment Proactively identify and assess technical risks linked with Azure infrastructure and applications. Collaborate with multifaceted teams to formulate and implement measures to alleviate the detected risks. As a Solution Architect, it is crucial to pinpoint potential risks during the solution development phase and devise comprehensive risk mitigation plans for all solutions crafted. Industry Expertise Stay informed about emerging technologies, trends, and standards in the oil and gas industry. Evaluate the potential impact of new technologies and provide recommendations for adoption both in upcoming solution designs as well as enhancement of solution architectures. Vendor Management Engage with external vendors and technology associates to scrutinize third-party offerings compatible with Azure. Integrate these third-party solutions effortlessly, ensuring they complement and reinforce the broader Azure architectural strategy and the business objectives. Required Qualifications Master’s (or) Bachelor’s degree in Computer Science, Engineering, or Information Technology or a related field (or equivalent experience). Over all 10 + years of experience required for Solution Architect. 8+ years of prior experience as a solution architect, preferably in the oil and gas industry or 8+ years of prior experience as a software engineer or similar role. Extensive experience in the oil and gas sector, including knowledge of industry-specific challenges and opportunities. Technical Expertise: Strong experience should have an in-depth understanding of Azure services and architecture, including IaaS, PaaS, and SaaS solutions. They should be adept at designing and implementing complex cloud infrastructure, ensuring scalability, reliability, and security. Also, strong experience in multi-cloud environments like AWS, GCP and their application migrations and management in O&G specifically. Advanced Problem-Solving: They must possess strong analytical skills to troubleshoot and resolve high-level technical issues. This includes the ability to perform root cause analysis and implement long-term solutions to prevent recurrence. Strategic Planning: The architect should be capable of developing strategic plans for cloud adoption and migration, aligning with the organization's goals. They should be able to evaluate and recommend new technologies and approaches to drive continuous improvement. Communication Skills: Excellent communication skills are essential for translating technical concepts to non-technical stakeholders, facilitating clear and effective discussions between cross-functional teams, and presenting proposals and progress reports to senior management. Client Engagement: Capable to work closely with clients (internal clients) to understand their business requirements and constraints, ensuring that the cloud solutions designed meet their needs and expectations. Innovation: With extensive experience, they should be at the forefront of innovation, exploring new cloud technologies and methodologies, and integrating them into the organization's practices to gain competitive advantage. Leadership and Mentorship: As a seasoned leader, the Senior Solution Architect should set the technical direction and make pivotal decisions that define the organization's cloud strategy, while also serving as a mentor to uplift junior architects and engineers. They must lead by example, inspiring teams through complex initiatives and fostering professional growth by imparting knowledge, best practices, and constructive feedback to nurture the next generation of technical experts. Preferred Qualifications Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or similar Microsoft AZ900 Certification & AZ 305 Certification TOGAF or ArchiMate or Zachman or equivalent architecture frameworks experience Experience in automation using Python, Gen AI, AI Ops, etc. Experience with data integration, data warehousing, and big data technologies Experience with containerization and orchestration tools (e.g., any 2 of following: Docker, OpenShift, Kubernetes, ECS, GKE, AKS, EKS, Rancher, Apache Mesos, Nomad, Docker Swarm, Kubernetes) Understanding of the O&G sector's operational workflows, including the intricacies of exploration, extraction, refining, and distribution activities, to tailor cloud-based solutions that complement the industry's unique needs Competence in tackling technical hurdles specific to the O&G domain, such as efficient asset management in isolated areas, processing extensive seismic datasets, and ensuring compliance with strict regulatory frameworks Proficiency in leveraging Azure cloud technologies to enhance the O&G Industry's operational effectiveness, utilizing tools like IoT, advanced data analytics, and machine learning for better results Experience with CI/CD pipelines and automated testing frameworks (e.g. CircleCI, Jenkins, TeamCity, Travis CI, Bamboo, Bitbucket, etc.) Strong interpersonal skills with the ability to engage effectively with both technical and non-technical stakeholders Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm. Chevron participates in E-Verify in certain locations as required by law.

Job Description YOUR IMPACT Are you passionate about delivering mission-critical, high quality machine learning models, using cutting-edge technology, in a dynamic environment? OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. We build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. have access to the latest technology and to massive amounts of structured and unstructured data. leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications. Within Compliance engineering, we are hiring for a Machine Learning Engineering role within Models Engineering. The firm is making a significant investment improve the precision/ recall of the Compliance models portfolio in 2024. To achieve that we are hiring experienced MLEs who have experience of developing and deploying ML models for big data in a distributed architecture. How You Will Fulfill Your Potential As a member of our team, you will: Work with large scale structure and unstructured data. Drive end to end Machine Learning projects that have a high degree of scale and complexity Build infra for machine learning which involves feature engineering and scaling models to work at scale Develop, productionize, and maintain ml models Run ML experiments by constantly tuning the features and the modeling approaches, documenting findings and results Collaborate closely with ML researchers, to accelerate the usage of cutting edge models Perform code reviews and ensure code quality QUALIFICATIONS A Successful Candidate Will Possess The Following Attributes A Bachelor's or Master's degree in Computer Science, or a similar field of study. 4+ years of hands-on experience with building scalable machine learning systems Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design) Expertise in Python & PySpark Experience in working with distributed technologies like Scala, Pyspark, Iceberg, HDFS file formats (avro, parquet), AWS/ GCP, big data feature engineering. Experience in system design and evaluating the pros and cons of database choices, schema definition for data storage. Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit-Learn, HuggingFace) Experience in some of the following is desired and can set you apart from other candidates : Prior experience with LLMs and Prompt Engineering Prior experience in architecting/ deploying ML applications on AWS/ GCP Prior experience in code reviews/ architecture design for distributed systems About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer

Introduction Mission The Infrastructure AI Center of Excellence (COE) is a dedicated team of technical professionals focused on leveraging AI to empower IBM Infrastructure employees to be more effective in their jobs or improve customer's experience when they interact with IBM. We along with the AI Guild serves as a vehicle for knowledge sharing, collaboration, & skill development related to AI. Our core objectives are VELOCITY and SAFETY. We want to help roll out AI projects as quickly as possible, while also ensuring that they are done safely and while operating within the guardrails for AI usage within IBM. Your Role And Responsibilities Your Role & Responsibilities: Looking to make a significant impact? This is your chance to become a key part of a dynamic team of talented professionals, leading the development and deployment of innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Software Engineering Manager to join us. This leadership role focuses on guiding, mentoring, and managing a team of engineers in designing, developing, and deploying AI-based services. You will be instrumental in problem-solving, automating wide ranges of tasks, and interfacing with other teams, offering managers, and customers to solve complex problems. You will build a strong, agile, and modern team culture aimed at creating world-class development and deployment environments. Your efforts will ensure industry-leading user experiences for our customers. As an essential part of the leadership team, you will contribute to the cloud services architecture and design while mentoring the next generation of cloud engineers. Responsibilities Lead, mentor, and manage a team of AI and cloud software engineers. Oversee the planning, execution, and delivery of AI-based services and cloud solutions. Provide technical direction and architectural oversight for AI and cloud projects. Interface with other teams, managers, and customers to align project goals and deliverables. Address and resolve technical challenges and roadblocks faced by the team. Monitor and evaluate team performance, providing feedback and development opportunities. Stay updated with the latest trends in AI and cloud technologies to encourage continuous improvement. Ensure the delivery of industry-leading user experiences for customers. Allocate resources effectively to meet project and organizational goals. Maintain comprehensive documentation of projects and processes, and report progress to senior management. Required Technical And Professional Expertise Minimum 12-15 years of experience as Full Stack Developer with a focus on AI projects Experience with AI and machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, LLMs, Generative AI. Familiarity with AI model deployment and integration. Solid understanding of backend technologies, including server-side languages (Node.js, Python, Java, etc.) and databases (Cassandra, PostgreSQL, etc.). Understanding and experience with RESTful APIs, Java/J2EE, Kafka & GitHub. Strong experience with Cloud Technologies, Kubernetes based microservices architecture, Kafka, Object Storage, Cassandra database and docker container technologies. Knowledge on IBM Cloud Technologies will be an added advantage. At least 6 years of hands-on development experience building applications with one or more of the following: Java, Spring, Liberty, Node.js, Express.js, Golang, NoSQL DB, Redis, distributed caches, containers etc., At least 3 years of experience in building and operating highly secured, distributed cloud services with one or more of the following: IBM Cloud, AWS, Azure, SRE, CI/CD, Docker, Container orchestration, performance testing, etc., At least 3 years of experience in web technologies: HTTP, REST, JSON, HTML, Ajax, JavaScript etc., Solid understanding of the micro-services architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred Skills Preferred technical and professional experience Experience in using messaging brokers like RabbitMQ, Kafka etc. Operating Systems (such as Red Hat, Ubuntu, etc.) Knowledge of network protocols such as TCP/IP, HTTP, etc. Experience and working knowledge of version Control systems like Github and build tools like Maven/Gradle Ability to learn and apply new technologies quickly Experience in working on a SaaS application with high industry standard CI/CD, and development cycle processes Strong sense of ownership of deliverables UI test automation skills - Selenium and/or Puppeteer Beyond the requirements, candidates should be passionate about in the role: Continuous learning and ability to adapt to change Working across global teams and collaborating across teams and organization boundaries Finding innovative ways to solve complex problems with cutting edge technologies.

AspenTech is a global software leader helping industries meet the increasing demand for resources from a rapidly growing population in a profitable and sustainable manner. Our Digital Grid Management software suite, including AspenTech OSI products, helps power and utilities companies achieve superior real-time control, optimization and management for exceptional performance of complex energy networks. The Role This position will be responsible to take care of technical aspects of Energy Management System(EMS) & Generation Management System(GMS) products in projects delivered using AspenTech - DGMs monarch platform for customers across different geographies. You are expected to possess knowledge of power systems analysis, electric utility operations, control, and optimization. Your Impact Work directly with customers to define requirements for advanced control systems. Understand project requirements through interactions with project engineering and other stakeholders, and design solutions to meet these requirements. Carry out power system modelling, Analysis, and electrical design aspects of projects from the feasibility stage through implementation and operations. Design and develop custom applications to meet project requirements. Design the theoretical algorithms and their software implementation. Create test plans and procedures and perform testing for product releases including unit (module by module) and algorithm proof testing. Provide applications programming support for other Engineering departments. Provide training and support for end users. What You'll Need Graduate in Electrical Engineering or Electrical & Electronics engineering / Post-graduate in Power Systems or related discipline is desirable. Min 5 years of work experience in Power System Analysis and Energy Management Systems. Understanding of use-cases for electric utilities is good to have. Understanding of object-oriented programming concepts with development using C# or Python along with basic – intermediate understanding of SQL is good to have. Basic knowledge of databases and data warehousing. Excellent analysis and problem-solving skills. Ability to work on several projects in parallel. Ability and flexibility to travel based on project need.

Millennium is a cutting edge fintech where we solve hard and interesting problems at the intersection of computer science, finance, and mathematics. We are focused on innovating and rapidly applying innovations to real world scenarios in finance. This enables engineers to work on interesting problems, learn quickly and have deep impact to the firm and the business. We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are, enabling traders/researchers to consume vast amount of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to find prices of instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk, to name a few. The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc. We are seeking a senior AI/ML SWE who has experience with LLM, deep learning, reinforcement learning, etc. as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and product ionization. Key Responsibilities Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space. Experiment, iterate, productionize AI/ML solutions. Build supporting data and Ai/ML infrastructure and tools. Required Skills And Qualifications Strong knowledge of the latest advancements in AI and machine learning. Strong fundamentals in computer science. Proficiency in Python and at least 1 other language such as Java, C++, C#, etc. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc. Ability to build and evaluate AI models and tools using quantifiable metrics. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills to effectively collaborate with developers and other stakeholders. Adaptable and willing to work in a start-up-like environment within a major institution. Preferred Qualifications Advanced degree in Computer Science, AI, Machine Learning, or a related field. Experience in developing AI solutions for financial institutions. Knowledge of additional programming languages and frameworks. 7+ years of relevant experience.

About The Position Chevron invites applications for the role of AI/ML Engineer within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. We are looking for a Machine Learning Engineer with the ability to bring their expertise, innovative attitude, and excitement for solving complex problems with modern technologies and approaches. We are looking for those few individuals with a passion for exploring, innovating, and delivering innovative Data Science solutions that provide immense value to our business. The expectation for this role is 5-10 years of relevant experience. Key Responsibilities Transform data science prototypes into appropriate scale solutions in a production environment Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product Combine expertise in mathematics, statistics, computer science, and domain knowledge to create advanced AI/ML models. Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate and scale models into the business framework. Identify data, appropriate technology, and architectural design patterns to solve business challenges using Chevron approved standard analytical tools and AI design patterns and architectures Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines Run machine learning experiments and fine-tune algorithms to ensure optimal performance Consistently deliver complex, innovative, and complete solutions, driving them through design, planning, development, and deployment that simplify business processes and workflows to drive business value Work collaboratively with a large variety of different teams, including data scientists, data engineers, and solution architects from various organizations within business units and IT Required Qualifications Minimum 5 years’ experience in Object Oriented Design and/or Functional Programming in Python. 5 - 10 years of experience Mature software engineering skills, such as source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc. Must have a disciplined, methodical, minimalist approach to designing and constructing layered software components that can be embedded within larger frameworks or applications. Experience implementing machine learning frameworks and libraries such as MLflow Experience with containers and container managements (docker, Kubernetes) Experience developing cloud first solutions using Microsoft Azure Services including building machine learning pipelines in Azure Machine Learning and/or Fabric, Hands-on experience in deploying machine learning pipelines with Azure Machine Learning SDK Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Proficient at orchestrating large-scale ML/DL jobs, leveraging big data tooling and modern container orchestration infrastructure, to tackle distributed training and massive parallel model executions on cloud infrastructure. Experience designing custom APIs for machine learning models for training and inference processes and designing, implementing, and delivering frameworks for MLOps. Experience with model lifecycle management and automation to support retraining and model monitoring Experience implementing and incorporating ML models on unstructured data using cognitive services and/or computer vision as part of AI solutions and workflows. History of working with large scale model optimization and hyperparameter tuning, applied to ML/DL models. Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support. Knowledge of data engineering and transformation tools and patterns such as Databricks, Spark, Azure Data Factory Ability to engage other technical experts at all organizational levels and assess opportunities to apply machine learning and analytics to improve business workflows and deliver information and insight to support business decisions. Ability to communicate in a clear, concise, and understandable manner both orally and in writing. Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm. Chevron participates in E-Verify in certain locations as required by law.

Role: Post Silicon Validation Engineer or ATE Engineer Location: Bangalore Mode: 5 Days office NP: less than 20 Days Exp: 2+ years Must Skills: ATE, Advantest 93K/ V 93K/HDMT, Python Job Description: Stong in ATE Strong programming skills in Python, C/C++, and x86 Assembly. Strong understanding of the semiconductor manufacturing product life cycle. Knowledge of hardware design, such as load boards and probe cards. Familiarity with data extraction and analysis tools like JMP and Aqua. Ability to develop and debug test programs to ensure accurate results and participation in yield analysis and generation of limits. Proficiency in developing Python scripts for automation and result analysis. Experience in bench testing. Experience with HDMT, Trace, Aqua, JTAG, TAP, LDO, and Buck/boost converters. Validation exposure, test plan, report out and good communication both written and verbal skills

Overview Job Purpose At ICE, we never rest. We are on a mission as a team. We are problem solvers and partners, always starting with our customers to solve their challenges and create opportunities. Our start-up roots keep us nimble, flexible, and moving fast. We take ownership and make decisions. We all work for one company and work together to drive growth across the business. We engage in robust debates to find the best path, and then we move forward as one team. We take pride in what we do, acting with integrity and passion, so that our customers can perform better. We are experts and enthusiasts - combining ever-expanding knowledge with leading technology to consistently deliver results, solutions and opportunities for our customers and stakeholders. Every day we work toward transforming global markets. The Manager, Systems Engineering is responsible for guiding and supporting a team of engineers in creating and maintaining the core automation services within ICE’s infrastructure. This role involves setting clear objectives, providing resources, and ensuring that the team adheres to high standards for automated tooling. A successful manager will oversee the software development lifecycle, establish best practices, and foster a collaborative environment where engineers can excel. Key responsibilities include mentoring team members, providing constructive feedback, and facilitating professional development. Additionally, the manager will drive root cause analysis discussions, recommend and approve automation tools, and actively participate in strategic technical decisions to align team efforts with business goals. Responsibilities Assist in the design, planning and implementation of solutions using Python programming language Provide education and mentorship to team members, operations staff, and other departments on best practices, automation methodologies. Delegate, assign, and ensure work is completed by subordinate staff Assist in the design, planning and implementation of server and automation solutions Tune and design systems infrastructure for maximum available performance Automation of manual tasks using scripting development Oversee the development and maintenance of automation scripts in Ansible and Python, ensuring the delivery of reusable, testable, and efficient code. Collaborate with cross-functional teams to facilitate the development and upkeep of RESTful APIs while ensuring adherence to best practices. Mentor and coach junior developers to enhance their skills and knowledge. Facilitate productive code reviews, design reviews, and architecture discussions. Oversee the analysis, programming, and modification of software enhancement requests. Identify and resolve complex software development challenges promptly, providing technical guidance to the team. Collaborate with internal teams to understand business and functional requirements to ensure automation processes meet organizational needs. Guide the team in using various architectures, tools, and frameworks to automate internal processes. Actively participate in technical analysis, problem resolution, and proposing solutions. Coordinate efforts across developers, operations staff, and release engineers, fostering a service-oriented team environment. Manage on-call rotations to ensure efficient after-hours support. Lead the team to ensure robust support for production operations in a 24/7 environment, driving technical excellence to meet organizational goals. Knowledge And Experience 5+ years of experience with engineering Operating Systems as well as Software Development Engineering, Tools Automation, or similar role in platform delivery Experience as a people manager or in a team lead role with delegation duties Degree in engineering discipline or equivalent experience in Systems Engineering / Development Solid experience coding with any one or combination of PowerShell, Python, Ruby, etc Fundamental understanding of the SDLC processes, and tools (GIT, Puppet, etc.) Experience with automation/configuration management using either Puppet, Chef, Ansible or equivalent Working knowledge of multi-tiered, highly available, and resilient application design Working knowledge of horizontal and vertical scaling for performance and high availability Top-tier critical thinking, analytics, and problem-solving skills Ability to work in a service-oriented team environment Strong understanding of project Management, organization, and time management Customer focus and dedication to the best possible user experience Ability to communicate effectively with technical or business resources Understanding of Continuous Integration and Delivery concepts Fluent speaking, reading, and writing in English Desired Knowledge And Experience Experience working in a GitOps organization with a drive to automate everything Working knowledge of the creation, support and deployment of Docker Containers Working knowledge of the setup and configuration of Kubernetes 2+ years of experience in Ansible code development

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Position Summary The Senior Manager, Senior Solution Engineer, Drug Development Information Technology (DDIT) will be part of the product team committed to bridge the gap between technology and business needs within the Clinical Data Ecosystem (CDE) that primarily delivers technology strategy and solutions for clinical trial execution, Global Biostatistics and Data Sciences, Clinical Data Management (Clinical Analytics, Site Selection, Feasibility, Real Word Evidence) The role is based out of our Hyderabad office, and is part of the Research and Development (R&D) BI&T data team that delivers data and analytics capabilities for across DD. You will be specifically supporting our Clinical Data Filing and Sharing (CDFS) Product line. This is a critical role that supports systems necessary for BMS' direct value change; regulated analysis and reporting for every trial in BMS Desired Candidate Characteristics:" Have a strong commitment to a career in technology with a passion for healthcare" Ability to understand the needs of the business and commitment to deliver the best user experience and adoption" Able to collaborate across multiple teams"" Demonstrated leadership experience Excellent communication skills" Innovative and inquisitive nature to ask questions, offer bold ideas and challenge the status quo" Agility to learn new tools and processes" As the candidate grows in their role, they will get additional training and there is opportunity to expand responsibilities and exposure to additional areas withing Drug Development. This includes working with Data Product Leads, providing input and innovation opportunities to modernize with cutting edge technologies (Agentic AI, advanced automation, visualization and application development techniques). Key Responsibilities Architect and lead the evolution of the Statistical Computing Environment (SCE) platform to support modern clinical trial requirements Partner with data management and statistical programming leads to support seamless integration of data pipelines and metadata-driven standards Lead the development of automated workflows for clinical data ingestion, transformation, analysis, and reporting within the SCE. Drive process automation and efficiency initiatives in data preparation and statistical programming workflows Develop and implement solutions to enhance system performance, stability and security Act as a subject matter expert for AWS SAS implementations and integration with clinical systems. Lead the implementation of cloud-based infrastructure using AWS EC2, Auto Scaling, CloudWatch, and AWS related packages Provide architectural guidance and oversight for CDISC SDTM/ADaM data standards and eCTD regulatory submissions. Collaborate with cross-functional teams to identify product improvements and enhancements. Administer production environment and diagnose & resolve technical issues in a timely manner, documenting solutions for future reference. Coordinate with vendors, suppliers, and contractors to ensure the timely delivery of products and services Serve as a technical mentor for development and operations teams supporting SCE solutions. Analyze business challenges and identify areas for improvement through technology solutions. Ensure regulatory and security compliance through proper governance and access controls. Provide guidance to the resources supporting projects, enhancements, and operations. Stay up to date with the latest technology trends and industry best practices. Qualifications & Experience: Master's or bachelor's degree in computer science, information technology, or related field preferred. 15 + years of experience in software development and engineering, clinical development or data science field 8-10 years of hands-on experience working on implementing and operation of different type of Statistical Clinical Environment (SCE) with Life Sciences and Healthcare business vertical. Strong experience with SAS in an AWS-hosted environment including EC2, S3, IAM, Glue, Athena, and Lambda Hands-on development experience managing and delivering data solutions with AWS data, analytics, AI technologies such as AWS Glue, Redshift, RDS (PostgreSQL), S3, Athena, Lambda, Databricks, Business Intelligence and Visualization tools etc. Experience with R, Python, or other programming languages for data analysis or automation. Experience in shell/ Python scripting and Linux automation for operational monitoring and alerting across the environment Familiarity with cloud DevOps practices, infrastructure-as-code (e.g., CloudFormation, Terraform). Expertise in SAS Grid architecture, grid node orchestration, and job lifecycle management. Strong working knowledge of SASGSUB, job submission parameters, and performance tuning. Understanding of submission readiness and Health Authority requirements for data traceability and transparency. Excellent communication, collaboration and interpersonal skills to interact with diverse stakeholders. Ability to work both independently and collaboratively in a team-oriented environment. Comfortable working in a fast-paced environment with minimal oversight. Prior experience working in an Agile based environment. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol Responsibilities BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Experience : 4 to 8 years Mandatory skills for an SME Content Development Proactive in continuous learning Prior experience at L&D , content development, conducting workshops, teaching technical sessions Mandatory technical skills for Data Science SME Programming in Python with a strong hands-on experience Hands-on experience in Data Analytics Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc. Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc. Machine Learning: Supervised and unsupervised algorithms Advanced Machine Learning: Bagging and Boosting Techniques Time Series Analysis: ARIMA, SARIMA, Holt-Winters model etc. Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM Natural Language Processing: Text Processing NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI Value-add: BI tools like PowerBI Data Engineering with Azure Cloud Services If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

TECHNOARTZ is looking for Python Developer to join our dynamic team and embark on a rewarding career journey A Python Developer is a software developer who specializes in using the Python programming language to build applications, software tools, and data analysis systems The job description for a Python Developer typically includes the following responsibilities: Writing and Testing Code: The Python Developer is responsible for writing clean, maintainable, and efficient Python code, as well as testing and debugging code to ensure that it meets quality standards Designing and Developing Applications: The Python Developer designs and develops applications, software tools, and data analysis systems using Python frameworks and libraries Developing and Maintaining APIs: The Python Developer creates and maintains RESTful APIs that enable seamless integration with other systems and applications Analyzing and Manipulating Data: The Python Developer uses Python libraries and tools to analyze and manipulate data, including data cleaning, transformation, and visualization Requirements: Strong proficiency in Python, including knowledge of Python frameworks such as Django, Flask, and Pyramid Experience in software development, including writing and testing code, designing and developing applications, and collaborating with cross-functional teams Knowledge of front-end technologies such as HTML, CSS, and JavaScript is a plus Strong analytical and problem-solving skills Experience working in Agile and/or Scrum methodologies Familiarity with database systems such as MySQL, PostgreSQL, and MongoDB Excellent communication and collaboration skills

Req ID: 330641 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Software Development Specialist to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Roles and responsibilities: Good Understanding of Incident, Service Requests and change Management ensuring timely delivery of deliverables. Attend Severity 1 calls, present teams case and guide team to deliver the required. Performance Tuning and Design/Develop Preventive health checks/tools ensuring high availability integration environment. Involved with resolution of complex development issues that may arise in production environment. Understand customer requirements, develop and evaluate alternative systems solutions. Providing technical solutions to complex production issues. Interacting with Application users and Business users coordinating on application requirements and providing software solutions. Participate in Weekly Status Calls with the client to discuss the action items on outstanding Incidents, Service Requests and Changes of the week, also provide the necessary solutions to client s queries. Document software systems according to NTT Data s system standards, policies, and procedures. Responsible for configuring/creating monitors to proactive monitor apps. Plan, Participate and successfully handle/drive the application maintenance activities. Good understanding of Shift management, client handling. Skills Required: Application Support and Maintenance experience - L2 or L3 Support Strong technical background in C, Java or GoLang Practical experience in Linux/Unix platform. Proficient in writing scripts using Python, Bash, Perl, Groovy. Hands on experience on SQL queries, should have knowledge on one of the RDBMS Handon experience in Splunk, Jira, Nagios, Datadog. Good Understanding of AWS tools and technologies. Ability to coordinate with multiple teams over high visibility/critical issues. Experience being part of on-call rotation and support Experience with ticket management and resolution tools like Jira and ServiceNow Good understanding of AWS Kafka. Good Communication skills #LI-INPAS

Req ID: 332236 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Business Consulting-Technical analyst with ETL,GCP using Pyspark to join our team in Pune, Mah r shtra (IN-MH), India (IN). Key Responsibilities: Data Pipeline Development: Designing, implementing, and optimizing data pipelines on GCP using PySpark for efficient and scalable data processing. ETL Workflow Development: Building and maintaining ETL workflows for extracting, transforming, and loading data into various GCP services. GCP Service Utilization: Leveraging GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc for data storage, processing, and analysis. Data Transformation: Utilizing PySpark for data manipulation, cleansing, enrichment, and validation. Performance Optimization: Ensuring the performance and scalability of data processing jobs on GCP. Collaboration: Working with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions. Data Quality and Governance: Implementing and maintaining data quality standards, security measures, and compliance with data governance policies on GCP. Troubleshooting and Support: Diagnosing and resolving issues related to data pipelines and infrastructure. Staying Updated: Keeping abreast of the latest GCP services, PySpark features, and best practices in data engineering. Required Skills: GCP Expertise: Strong understanding of GCP services like BigQuery, Cloud Storage, Dataflow, and Dataproc. PySpark Proficiency: Demonstrated experience in using PySpark for data processing, transformation, and analysis. Python Programming: Solid Python programming skills for data manipulation and scripting. Data Modeling and ETL: Experience with data modeling, ETL processes, and data warehousing concepts. SQL: Proficiency in SQL for querying and manipulating data in relational databases. Big Data Concepts: Understanding of big data principles and distributed computing concepts. Communication and Collaboration: Ability to effectively communicate technical solutions and collaborate with cross-functional teams

Through the Amazon Marketplace, Amazon provides individuals or enterprises the opportunity to sell their goods on the Amazon platform. Worldwide, more than 2 million Sellers use this Marketplace and, thereby, contribute to the success of Amazon. Amazon is growing its Marketplace worldwide. In this context, Amazon offers a service to help Sellers with their products on the Amazon Marketplace. Scope of the role: Integrating seller content to the Amazon platform using standard item creation templates, working with Business Teams across the world. Integrating external content to the Amazon websites using Amazon internal content creation templates. Correcting and enhancing existing content of products that have high visibility on the Amazon website but show poor content. Working with sellers to gather requirements and helping to build the tools and processes to increase the ease and efficiency with which sellers integrate with Amazon. Working with the On-boarding team to gather knowledge in tools used for complex integration and support them to implement the integration. 1) Knowledge of Excel Macros, SQL, Python 2) Able to Interact effectively with sellers through calling process, account managers to gather feedback and help resolve catalog issues. Bachelors degree Experience with Excel

JD for Oracle DBA. Role name: System Administrator Role Description: WAS Admin Competencies: IT IS_AMS_MiddleWare_WAS Experience (Years): 8-10 Job Description Key Responsibilities: Database Management: Install, configure, and maintain Oracle databases (Oracle 11g, 12c, 19c, or newer) across development, staging, and production environments. Performance Tuning: Monitor database performance, identify bottlenecks, and optimize queries, indexes, and database configurations for improved performance. Backup and Recovery: Implement robust backup and recovery strategies using Oracle RMAN, Data Guard, or other backup tools to ensure data integrity and availability. Database Security: Ensure databases are secure by managing user roles, permissions, and ensuring compliance with security best practices and organizational standards. High Availability & Disaster Recovery: Implement and manage high availability solutions like Oracle RAC, Data Guard, and standby databases for disaster recovery. Capacity Planning: Work with teams to forecast database storage needs and optimize resources as required for scaling. Database Upgrades & Patches: Perform regular database patching, upgrades, and migrations to ensure systems are running the latest, most secure Oracle versions. Troubleshooting & Incident Management: Provide proactive database monitoring and troubleshooting to identify and resolve issues affecting database performance and availability. Automation & Scripting: Automate routine database administration tasks using scripting languages such as Shell, Perl, or Python. Database Optimization: Perform routine database optimizations such as reorganization, partitioning, and indexing to maintain performance and reduce downtime. Collaboration & Documentation: Collaborate with development, infrastructure, and other teams to ensure that database systems align with business and technical needs. Document processes, procedures, and best practices for internal reference.