Job description Job Overview: We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and artificial intelligence. You should have a proven track record of developing and deploying scalable ML solutions. In this role, you will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven products and services. Key Responsibilities: 1. Machine Learning Model Development and Deployment: Design, develop, and deploy machine learning models to solve complex business problems. Implement MLOps practices to ensure robust and scalable model deployment. Optimize model performance to ensure scalability and efficiency. 2. Data Analysis and Feature Engineering: Analyze large datasets to extract meaningful insights. Develop and select appropriate features to enhance model performance. Collaborate with data engineers to ensure seamless data integration. 3. Collaboration and Leadership: Work closely with data scientists, software engineers, and product managers to integrate ML solutions into products. Mentor junior team members and provide technical guidance. Communicate technical concepts to both technical and non-technical stakeholders. 4. Research and Innovation: Stay abreast of the latest developments in AI/ML technologies. Evaluate and implement new tools and frameworks to improve existing systems. Drive innovation and continuous improvement in AI/ML solutions. What Youll Do Innovate: Design, develop, and deploy state-of-the-art machine learning models that solve complex problems and drive strategic decisions. Collaborate: Work cross-functionally with data scientists, software engineers, and product managers to integrate AI solutions seamlessly into our products. Lead: Mentor junior team members, fostering a culture of continuous learning and innovation. Optimize: Implement MLOps best practices to ensure scalable, reliable, and efficient model deployment and monitoring. Explore: Stay abreast of the latest advancements in AI/ML, evaluating and integrating new technologies to keep us at the forefront of innovation. Required Qualifications: Educational Background: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Professional Experience: Minimum of 5 years of experience in machine learning engineering or a similar role. Technical Skills: Proficiency in programming languages such as Python or R. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). Strong understanding of data structures, algorithms, and software engineering principles. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills. Preferred Qualifications: Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of NLP techniques and applications. Familiarity with CI/CD pipelines and version control systems like Git. Contributions to open-source projects or publications in reputable journals. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. Access to cutting-edge technologies and tools. Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceData analysisGCPAnalyticalArtificial IntelligenceMachine learningData structuresContinuous improvementMonitoringPython

Job description We are seeking a skilled Python Developer with expertise in Django, Flask, and API development to join our growing team. The Python Developer will be responsible for designing and implementing backend services, APIs, and integrations that power our core platform. The ideal candidate should have a strong foundation in Python programming, experience with Django and/or Flask frameworks, and a proven track record of delivering robust and scalable solutions. Primary Skill Responsibilities Design, develop, and maintain backend services and APIs using Python frameworks such as Django and Flask. Collaborate with front-end developers, product managers, and stakeholders to translate business requirements into technical solutions. Build and integrate RESTful APIs for seamless communication between our applications and external services. Qualifications Bachelors degree in computer science, Engineering, or related field; or equivalent experience. 5+ years of professional experience as a Python Developer, with a focus on backend development. Secondary Skill Amazon Elastic File System (EFS) Amazon Redshift Amazon S3 Apache Spark Ataccama DQ Analyzer AWS Apache Airflow AWS Athena Azure Data Factory Azure Data Lake Storage Gen2 (ADLS) Azure Databricks Azure Event Hub Azure Stream Analytics Azure Synapse Analytics BigID C++ Cloud Storage Collibra Data Governance (DG) Collibra Data Quality (DQ) Data Lake Storage Data Vault Modeling Databricks DataProc DDI Dimensional Data Modeling EDC AXON Electronic Medical Record (EMR) Extract, Transform & Load (ETL) Financial Services Logical Data Model (FSLDM) Google Cloud Platform (GCP) BigQuery Google Cloud Platform (GCP) Bigtable Google Cloud Platform (GCP) Dataproc HQL IBM InfoSphere Information Analyzer IBM Master Data Management (MDM) Informatica Data Explorer Informatica Data Quality (IDQ) Informatica Intelligent Data Management Cloud (IDMC) Informatica Intelligent MDM SaaS Inmon methodology Java Kimball Methodology Metadata Encoding & Transmission Standards (METS) Metasploit Microsoft Excel Microsoft Power BI NewSQL noSQL OpenRefine OpenVAS Performance Tuning Python R RDD Optimization SaS SQL Tableau Tenable Nessus TIBCO Clarity Role: Data Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythondjangosparkapiflask sas macrosdata analysisdata analyticsdata managementsassas sqlamazon redshiftdata warehousingsas programmingbusiness intelligencesqltableaujavaproc sqldata modelingdata governancebase sasetl

Job description Duration: 6Months Job Type: Contract Work Type: Onsite Job Description: The top 3 responsibilities: Depending on your experience, interests and business needs, you will own the front-end, back-end, or full stack design and development of product features, building scale, efficiency, and differentiated customer experiences. Were looking for software engineers passionate about building software solutions end-to-end, have strong software development experience delivering at scale solutions, and systems design skills. You should have a demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project. You should also have experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs. Leadership Principles: Bias for Action, Deliver Results Mandatory Requirements: The ideal candidate is interested in a career in software development and is looking to utilize and expand their coding skills and gain exposure to a wide variety of software applications. They must be detail oriented, have superior verbal and written communication skills, strong organizational skills, are able to work independently and can maintain professionalism under pressure. Preferred coding skills: Java, JavaScript and TypeScript. Other desired technical skills include python. AWS infrastructure experience. EC2, CloudWatch, lambda, networking side of AWS is required. A bachelors degree in Computer Science or equivalent degree is required Minimum 3 years of SDE experience is required. Education or Certification: Any graduation Role: Blockchain Quality Assurance Engineer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Java continuous integrationpythonsidesoftware developmentaws infrastructuresoftware testingci/cdjavascriptspringtechnical designspring bootlambda expressionssdedevopsfull stacksoftware engineeringtypescriptawsrequirement analysis

Job description About this role Aladdin Data is at the heart of Aladdin and increasingly the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. The DOE team is responsible for the data ecosystem within BlackRock. Our goal is to build and maintain a leading-edge data platform that provides highly available, consistent data of the highest quality for all users of the platform, notably investors, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin. Data Pipeline Engineers at BlackRock get to experience working at one of the most recognized financial companies in the world while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation and distribution systems. They partner with data and analytics experts to deliver high quality analytical and derived data to our consumers. We are looking for data engineers who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. We are committed to open source and we regularly give our work back to the community. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates. Responsibilities Data Pipeline Engineers are expected to be involved from inception of projects, understand requirements, architect, develop, deploy, and maintain data pipelines (ETL / ELT). Typically, they work in a multi-disciplinary squad (we follow Agile!) which involves partnering with program and product managers to expand product offering based on business demands. Design is an iterative process, whether for UX, services or infrastructure. Our goal is to drive up user engagement and adoption of the platform while constantly working towards modernizing and improving platform performance and scalability. Deployment and maintenance require close interaction with various teams. This requires maintaining a positive and collaborative working relationship with teams within DOE as well as with wider Aladdin developer community. Production support for applications is usually required for issues that cannot be resolved by operations team. Creative and inventive problem-solving skills for reduced turnaround times are highly valued. Preparing user documentation to maintain both development and operations continuity is integral to the role. And Ideal candidate would have At least 4+ years experience as a data engineer Experience in SQL, Sybase, Linux is a must Experience coding in two of these languages for server side/data processing is required Java, Python, C++ 2+ years experience using modern data stack (spark, snowflake, Big Query etc.) on cloud platforms (Azure, GCP, AWS) Experience building ETL/ELT pipelines for complex data engineering projects (using Airflow, dbt, Great Expectations would be a plus) Experience with Database Modeling, Normalization techniques Experience with object-oriented design patterns Experience with dev ops tools like Git, Maven, Jenkins, Gitlab CI, Azure DevOps Experience with Agile development concepts and related tools Ability to trouble shoot and fix performance issues across the codebase and database queries Excellent written and verbal communication skills Ability to operate in a fast-paced environment Strong interpersonal skills with a can-do attitude under challenging circumstances BA/BS or equivalent practical experience Skills that would be a plus Perl, ETL tools (Informatica, Talend, dbt etc.) Experience with Snowflake or other Cloud Data warehousing products Exposure with Workflow management tools such as Airflow Exposure to messaging platforms such as Kafka Exposure to NoSQL platforms such as Cassand

Job description Key Responsibilities Design and develop comprehensive automated tests spanning UI, API, and backend services Collaborate with product managers to analyze requirements and architect test strategies that ensure product reliability Build and enhance CI/CD pipelines with quality gates that support continuous integration and deployment Contribute to root cause analysis of production incidents alongside Customer Success teams and implement preventative measures Establish actionable quality metrics and dashboards to provide stakeholders with transparent insights into product health Research and implement cutting-edge tools and methodologies to optimize automation development and execution Qualifications 3+ years of experience in software development or test automation engineering Strong programming skills in Java, Python, or JavaScript with a focus on creating maintainable, efficient code Hands-on experience with modern test frameworks such as Selenium, Cypress, Playwright, TestNG, or RestAssured Practical knowledge of CI/CD tools including Jenkins, GitHub Actions, or GitLab CI Exposure to one or more of cloud platforms (GCP/AWS/Azure) Experience with REST, gRPC, or GraphQL APIs and microservice architectures Excellent problem-solving abilities with a systematic approach to debugging complex issues Familiarity with agile development practices and sprint planning Preferred Qualifications Experience with Harness CI/CD platform Knowledge of chaos engineering principles Exposure to test data generation/management solutions Background in distributed systems testing Contributions to open-source testing frameworks Experience with infrastructure-as-code tools like Terraform Who You Are A naturally curious engineer who thrives on finding edge cases and uncovering potential issues A self-motivated learner who stays current with industry trends and best practices A collaborative team player who shares knowledge and elevates those around you A quality advocate who believes in the importance of robust testing through automation A clear communicator who can translate technical concepts across different audiences A problem solver with a growth mindset who views challenges as opportunities A systems thinker who understands how individual components interact in complex environments Role: Software Developer in Test (SDET) Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationSocial mediaDebuggingJavascriptSeleniumAsset managementOpen sourceciscoDistribution systemPython

Job description Job Summary We are looking for an experienced Senior Web Developer with 8+ years of expertise in designing, developing, and maintaining web applications. The ideal candidate will have a strong grasp of front-end and back-end technologies, a deep understanding of web architecture, and the ability to lead projects from conception to deployment. Key responsibilities include: Develop, test, and maintain responsive and scalable web applications. Write clean, efficient, and well-documented code using HTML, CSS, JavaScript, and modern frameworks(React, Angular, Vue.js). Architect and implement server-side applications using Node.js, PHP, Python, or Ruby. Design and manage databases (SQL, MongoDB, Firebase) for optimized performance. Develop and integrate RESTful APIs and third-party services. Optimize website performance, security, and accessibility. Collaborate with designers, product managers, and other developers to create seamless user experiences. Troubleshoot and debug issues to ensure smooth functionality. Stay up to date with the latest web technologies and industry trends. Mentor junior developers and contribute to best practices in coding and development. Required Skills & Qualifications: Bachelors degree in computer science, Web Development, or a related field. 8+ years of experience in web development. Expertise in HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Strong knowledge of server-side technologies (Node.js, PHP, Python, or Ruby). Experience with databases (SQL, MongoDB, Firebase). Familiarity with cloud platforms (AWS, Azure, Google Cloud). Understanding of SEO principles and web accessibility standards. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with DevOps tools and CI/CD pipelines. Knowledge of UI/UX design principles. Familiarity with Agile development methodologies. Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Graduation Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills CSSHTMLReactangularJavaScript FirebaseAzureSQLOCIPHPMongoDBRubyAWSPython

Job description The Data Scientist Generative AI & NLP Specialist will be responsible for designing, developing, and deploying AI models and solutions that meet our business needs. With 4+ years of hands-on Data Science experience and at least 2+ years working in Generative AI, you will bring specialized expertise in LLMs and NLP. Project experience in NLP is a must, and experience in developing AI Agents will be considered a strong plus. This role suits a creative, analytical, and proactive individual focused on pushing the capabilities of AI within our projects. Primary Skill Develop and implement AI models focused on NLP taskssuch as text classification, entity recognition, sentiment analysis, and language generation. Leverage deep knowledge of Large Language Models (LLMs) to design, fine-tune, and deploy high-impact solutions across various business domains. Collaborate with cross-functional teams (data engineers, product managers, and domain experts) to define problem statements, build robust data pipelines, and integrate models into production systems. Stay current with advancements in Generative AI and NLP; research and evaluate new methodologies to drive innovation and maintain a competitive edge. Build, test, and optimize AI agents for automated tasks and enhanced user experiences where applicable. Secondary Skill Role: Data Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills hivenatural language processingdata engineeringdata sciencespark pythondata analysispysparkdata warehousingmicrosoft azuremachine learningsqlnosqltableaudata modelingkafkamysqlhadoopsqoopbig dataawsetl

Job description Job Title: Technical Lead - Data Engineering Career Level: E Introduction to role Are you ready to make a significant impact on patient lives through data and technology? Join our Operations IT team, where we partner with various Operations capability areas to redefine our ability to develop life-changing medicines. As part of the Data Analytics and AI (DA&AI) organization, youll deliver innovative solutions that empower our business to perform at its peak. As the Technical Lead, youll drive the successful technical delivery of projects aligned with business goals, using your deep technical expertise across data, cloud engineering, software engineering, AI, and more. Are you prepared to lead and coordinate technical workstreams and collaborate with team members both internally and externally? Accountabilities Collaborate closely with product managers, architects, and delivery managers to provide technical knowledge and support. Lead the technical vision of the product and work with multi-functional teams to define designs that meet objectives. Compile detailed technical designs, refine user stories, and ensure consistency to timelines and resource allocations. Identify technical risks and ensure visibility and progress toward mitigating these risks. Lead and mentor technical teams while fostering a culture of collaboration, innovation, and accountability. Define governance frameworks specific to product development. Deliver components of the Service Acceptance Criteria as part of Service Introduction deliverables. Ensure alignment with regulatory requirements, data security, and industry standards throughout the development lifecycle. Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements. Ensure data pipelines and solutions adhere to FAIR principles for enhanced data usability and sharing. Essential Skills/Experience Minimum 10+ years of experience in developing and delivering software engineering and data engineering solutions Deep technical expertise in Data Engineering, Software Engineering, Cloud Engineering, and good understanding in AI Engineering Good understanding of DevOps and DataOps ways of working Shown expertise in product development and/or product management Offer technical thought leadership for Data and Analytics and AI products Effective communication, partner management, problem-solving skills, and team collaboration Hands-on experience working in end-to-end product development with an innovation mindset Knowledge of Data Mesh and Data Product concepts Experienced in Agile WoW Collaborative approach to engineering Data Engineering & ETL: Design, implement, and optimize data pipelines using industry-leading ETL tools Cloud & DevOps: Architect and handle scalable, secure cloud environments using AWS Compute Services Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow DataOps & Automation: Champion the adoption of DataOps principles using tools like DataOps.Live Data Storage & Management: Supervise the design and management of data storage systems including Snowflake Business Intelligence & Reporting: Lead the development of actionable insights using Power BI Full-Stack Software Development: Build and maintain end-to-end software applications using NodeJS for backend development AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker Proficient in multiple coding languages such as Python Knowledge of database technologies both SQL and NoSQL Familiarity with agile methodologies Previous involvement in a large multinational company or pharmaceutical environment Strong leadership and mentoring skills Desirable Skills/Experience Bachelors or masters degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience. Experience working in the pharmaceuticals industry Certification in AWS Cloud or any data engineering or software engineering-related certification Awareness of use case specific

Job description Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist/ Consultant Specialist/Senior Software engineer/Software engineer (Based on number of years of experience and role) In this role, you will: We are seeking a highly skilled and experienced Senior Data Engineer with expertise in Java, Java 8, Microservices, Springboot 3.0.0, postgres, JPA, UI -React, Typescript, JS, Apache Flink, Apache Beam, MongoDB, and Google Cloud Platform (GCP) services such as Dataflow, Big Query, Pub/Sub, Google Cloud Storage (GCS), and Composer. The ideal candidate should also have hands-on experience with Apache Airflow, Google Kubernetes Engine (GKE), and Python for scripting and automation. You will play a critical role in designing, developing, and maintaining scalable, high-performance data pipelines and cloud-native solutions, with a strong focus on real-time stream processing using Apache Flink Design, develop, and maintain real-time and batch data pipelines using Apache Flink and Apache Beam. Implement stateful stream processing, event-time handling, and windowing with Flink. Optimize Flink jobs for performance, scalability, and fault tolerance. Build scalable, high-performance applications using Java. Write clean, maintainable, and efficient code following best practices. Integrate Flink pipelines with external systems such as Kafka, HDFS, and NoSQL databases. Use Apache Airflow (or Composer on GCP) to orchestrate complex workflows and automate data pipeline execution. Monitor and troubleshoot Airflow DAGs to ensure smooth operations. Leverage GCP services to build and deploy cloud-native solutions: Dataflow: Design and deploy real-time and batch data processing pipelines. BigQuery: Perform data analysis and optimize queries for large datasets. Pub/Sub: Implement messaging and event-driven architectures. GCS: Manage and optimize cloud storage for data pipelines. Composer: Orchestrate workflows using Apache Airflow on GCP. Deploy and manage containerized applications on Google Kubernetes Engine (GKE). Design Kubernetes manifests and Helm charts for deploying scalable and fault-tolerant applications. Design and manage NoSQL databases using MongoDB, including schema design, indexing, and query optimization. Ensure data consistency and performance for high-throughput applications. Use Python for scripting, automation, and building utility tools. Write Python scripts to interact with APIs, process data, and manage workflows. Architect distributed systems with a focus on scalability, reliability, and performance. Design fault-tolerant systems with high availability using best practices. Work closely with cross-functional teams, including data engineers, DevOps engineers, and product managers, to deliver end-to-end solutions. Participate in code reviews, design discussions, and technical decision-making. Monitor production systems using tools like Stackdriver, Prometheus, or Grafana. Optimize resource usage and costs for GCP services and Kubernetes clusters. Requirements To be successful in this role, you should meet the following requirements: Strong proficiency in Java mentioned above with experience in building scalable and high-performance applications. Basic to intermediate knowledge of Python for scripting and automation. Hands-on experience with Apache Flink for real-time stream processing and batch processing. Knowledge of Flink s state manage

Job description Job Description: We are looking for a highly skilled Senior System Engineer with expertise in server administration, automation, network security, and ETL development. The ideal candidate should have a strong understanding of system infrastructure design, security best practices, and database management. Key Responsibilities: -Administer and maintain Windows & Linux servers, ensuring high availability and performance. -Develop and maintain automation scripts using Python, PowerShell, and Bash. -Configure and manage VPNs, firewalls, and network security protocols. -Implement server security best practices, including patch management, hardening, and access control. -Design and manage ETL processes for data extraction, transformation, and loading. -Work with SQL Server and PostgreSQL for database administration, optimization, and troubleshooting. -Manage and support real-time data acquisition using OPC DA/HAD. -Collaborate with cross-functional teams to design and implement scalable system infrastructure solutions. Required Skills & Qualifications: -8+ years of experience in server administration (Windows & Linux). -Strong scripting skills in Python, PowerShell, and Bash for automation. -Expertise in network security, VPN configurations, and firewall management. -Hands-on experience in ETL development and database management (SQL Server/PostgreSQL). -Familiarity with real-time data acquisition using OPC DA/HAD. -Knowledge of system infrastructure design principles and best practices. -Experience in server security (patching, hardening, access control, monitoring, and compliance). Strong problem-solving and troubleshooting skills. Preferred Qualifications: -Experience with cloud platforms (AWS, Azure, or GCP). -Knowledge of containerization (Docker, Kubernetes). -Familiarity with CI/CD pipelines and DevOps tools. -Proficiency in server administration (Windows & Linux). -Scripting knowledge (Python, PowerShell, Bash) for automation. -Knowledge of network security, VPN, and firewall configurations. -Strong understanding of system infrastructure design principles. -Knowledge of server security best practices (patching, hardening, access control). -Hands-on Experience in ETL development -Experience in SQLServer/Postgres database management -Familiar with real-time data acquisition using OPC DA/HAD ETL Development Process, Window & Linux Server, real-time data acquisition using OPC DA/HAD, Strong scripting skills in Python, PowerShell, and Bash for automation, Expertise in network security, VPN configurations, and firewall management. Role: System Administrator / Engineer Industry Type: Software Product Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: IT Network Education UG: B.Tech/B.E. in Any Specialization PG: MCA in Any Specialization Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills AWS Linux ServerDockerfirewall managementPostgreSQLVPN configurationsSQL ServerETL DevelopmentKubernetes