Machine Manager Jobs in Hyderabad
396 Jobs Found
Azure Infrastructure Engineer
Intelex Systems
Azure Infrastructure Engineer Role Overview: We are seeking an experienced Azure Infrastructure Engineer to join our growing team. The ideal candidate will have hands-on expertise in Azure Resource Management, PaaS services, Compute services, Networking, Storage, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a pivotal role in designing, implementing, and maintaining our Azure infrastructure, ensuring it supports a wide range of applications and services. Key Responsibilities: Design & Implement Infrastructure Solutions: Architect scalable, secure, and highly available Azure infrastructure using Azure Resource Manager to meet business and application requirements. Manage Azure PaaS Services: Configure and manage Azure PaaS services (such as Azure App Services, Azure Functions, and Azure SQL Database) to optimize application performance, reliability, and scalability. Oversee Azure Compute Services: Manage and configure Azure Compute Services, including Virtual Machines, App Services, and Container Instances, ensuring efficient resource usage and performance. Networking & Security: Implement networking solutions within Azure, including Virtual Networks, Network Security Groups, and VPN gateways, ensuring secure and efficient network communication. Storage Solutions: Design, implement, and manage Azure storage solutions to ensure high availability, security, and efficient data access for applications. Identity & Access Management: Implement Identity and Access Management (IAM) solutions with Azure Active Directory and Role-Based Access Control (RBAC) to maintain secure user access and permissions across the infrastructure. Monitoring & Diagnostics: Utilize Azure Monitoring and Diagnostics tools to monitor infrastructure performance, identify issues, and ensure optimal operational efficiency. DevOps Integration: Work closely with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment, updates, and management. Documentation: Maintain detailed documentation of infrastructure configurations, best practices, and operational procedures for consistency and knowledge sharing across teams. Continuous Improvement: Stay updated with the latest Azure services, features, and best practices. Proactively recommend improvements to enhance infrastructure performance, security, and cost-efficiency. Skills & Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Azure Resource Management: Strong understanding of Azure Resource Manager, deployment automation, and infrastructure-as-code (IaC) practices. Azure PaaS Services: Proven experience managing Azure App Services, Azure Functions, and Azure SQL Database to optimize cloud application performance. Azure Compute Services: Expertise in managing and configuring Virtual Machines, App Services, and Container Instances for compute workloads. Networking Expertise: In-depth knowledge of Azure networking concepts, including Virtual Networks, Network Security Groups, and VPN solutions. Storage Solutions: Solid experience with Azure storage solutions (e.g., Blob Storage, Disk Storage) and best practices for data management and security. Identity & Access Management: Proficiency in Azure Active Directory and Role-Based Access Control (RBAC) for user and resource management. Monitoring & Diagnostics: Experience with Azure Monitoring and Azure Diagnostics tools to maintain system performance and troubleshoot issues. DevOps Knowledge: Familiarity with DevOps practices and experience working with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks (e.g., ARM templates, Terraform). Additional Information: Role: Azure Infrastructure Engineer Department: Cloud Engineering Industry: IT Services Employment Type: Full-time, Permanent Role Category: Infrastructure Engineering Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Senior Search Engineer
Zl Tech
Senior Search Engineer Full-Time | Hyderabad, India Department: Engineering Location: Hyderabad (On-site) Experience: 5+ Years Industry: Enterprise Software / Search Technology Employment Type: Full-Time Salary: Competitive & Based on Experience Job Summary We are seeking a highly experienced and technically proficient Senior Search Engineer with deep expertise in Apache Lucene and related search technologies. In this role, you will architect, develop, and optimize complex search functionalities within our enterprise platform. Your work will directly impact search scalability, performance, and accuracy across high-throughput, data-driven applications. Key Responsibilities Design, build, and maintain robust search infrastructure using Lucene and Lucene-based frameworks. Integrate Lucene search features into large-scale, enterprise-grade applications and manage ongoing system upgrades. Tune indexing strategies and optimize search algorithms for performance, accuracy, and efficiency. Conduct comprehensive performance testing and profiling to identify system bottlenecks and implement improvements. Create and manage custom analyzers, tokenizers, and filters to meet advanced business search requirements. Troubleshoot and resolve complex search-related issues across systems and environments. Monitor and evaluate emerging trends in search engines, text processing, and machine learning-based ranking. Work closely with cross-functional engineering teams and product owners to define and implement search-related features. Required Qualifications Bachelor's or Master s degree in Computer Science, Software Engineering, or a related technical field. 5+ years of hands-on experience in software engineering with a strong emphasis on search technologies. Deep knowledge and production-level experience with Apache Lucene. Proficiency in associated technologies such as Elasticsearch, Solr, or other Lucene-based libraries. Strong understanding of search algorithms, indexing mechanisms, and query optimization techniques. Solid foundation in data structures, algorithms, and object-oriented design principles. Experience working with high-throughput systems and scalable, distributed architectures. Preferred Skills (Nice to Have) Experience integrating search capabilities in cloud environments (e.g., Azure, AWS, or GCP). Familiarity with natural language processing (NLP), semantic search, and vector search technologies. Exposure to machine learning models for relevance tuning and personalized search. Background in performance benchmarking tools and profiling techniques. Lead the development of mission-critical search and indexing features used by enterprise customers. Be part of a collaborative team solving cutting-edge search performance challenges. Work in an environment that encourages innovation and continuous learning. Competitive compensation, modern tech stack, and ample growth opportunities. Qualification : Bachelor's or Masters degree in Computer Science, Software Engineering, or a related technical field.
Data Engineering Manager
Kanerika Software
Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.
Senior Data Engineer
Blend360 India
Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.
Sr Engineer/sr. Lead - Generative Ai
Qualcomm India Private Limited
Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field
Social Media Manager
Kore.ai
Job Opening: Social Media Manager Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a globally recognized leader in the conversational AI space, helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Our no-code experience optimization (XO) platform and solutions are used by over 150 Fortune 2000 companies from sectors such as banking, insurance, healthcare, telecom, retail, manufacturing, and more, serving over 100M consumers and 500,000+ employees worldwide. With billions of interactions automated using AI-powered technology, we ve helped save over $500M for these companies. Our AI-first no-code platform includes solutions like SmartAssist (AI-first cloud contact center), BankAssist (AI-powered virtual assistant for retail banking), and others that optimize customer, employee, and agent experiences. Recognized by leading technology analysts like Gartner, Forrester, IDC, and others, we are a rapidly growing company and have recently secured Series C funding of $73.5M. About the Role We are looking for a strategic, data-driven, and highly creative Social Media Manager to elevate our brand presence and position social media as a key driver for brand building and lead generation. This role is for someone who lives and breathes social media, understands audience behavior, and can spark engaging conversations that drive business impact. The ideal candidate should be well-versed in social media management, content strategy, engagement tactics, analytics, and automation tools to maximize our reach and ROI. Key Responsibilities Social Media Strategy & Content Creation: Develop and execute a results-driven social media strategy aligned with lead generation and brand-building goals. Create compelling content: Craft engaging, conversation-driven content that positions us as a thought leader in B2B tech, AI, and enterprise automation. Repurpose content assets (blogs, whitepapers, reports) into various post formats like polls, carousels, and videos to maximize engagement. Community Engagement & Growth: Actively engage with audiences across LinkedIn, Twitter, YouTube, Instagram, and emerging platforms. Track conversations and join industry discussions to boost visibility. Analytics, Reporting & Optimization: Use tools like Sprout Social, Buffer, or Hootsuite for content scheduling, monitoring, and automation. Build reports to track engagement, follower growth, and lead generation. Lead Generation & Performance Tracking: Work with marketing teams to align social media with lead generation goals. Track social-driven leads, engagement-to-conversion rates, and impact on pipeline growth. Qualifications & Skills 5+ years of experience in social media management with proven success in B2B SaaS, AI, or enterprise tech. Strong storytelling and copywriting skills to craft posts that drive engagement and brand recall. Hands-on experience with social media management tools (Sprout Social, Buffer, Hootsuite, etc.). Expertise in social media analytics, reporting, and performance tracking. Knowledge of SEO, social media algorithms, and audience engagement strategies. 2+ years of experience with Figma and Canva for content creation and Asana for project management. Passion for emerging social media trends, AI-powered content strategies, and data-driven decision-making. An up-to-date portfolio of social media content, accounts, and performance metrics. Wow Factor 5+ years with Figma, with the ability to create, edit, and animate digital content. Knowledge of Adobe suite, particularly Premiere Pro and After Effects, for video editing and animation of digital ads. Experience with AI tools within apps for work, including building content bots that align with brand values. Work at the forefront of conversational AI technology, innovating for global enterprises. Join a rapidly growing company recognized by leading technology analysts in AI and automation. Be part of a passionate, diverse team driving AI innovations to enhance customer experiences worldwide. Founded in 2014 by serial entrepreneur Raj Koneru, Kore.ai is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. We re a diverse team of 500+ professionals, led by seasoned leadership with a mission to push AI innovations to the next level and serve customers worldwide.
Senior Network Engineer
Telebu
Key Responsibilities: Design and implement new solutions and improve resilience of the current environment. Maximize network performance by monitoring performance, troubleshooting network problems and outages, scheduling upgrades. Secure network systems by establishing and enforcing policies, and defining and monitoring access. Configure routing and switching equipment, hosted IP voice services and firewalls. Provide remote support to on-site engineers and end users/customers during installation/maintenance. Installing Operating Systems on Blade/Tower Servers with RAID. Windows & Linux Systems Hardware/Network performance monitoring using Zabbix or any other monitoring tool. Protect organization's value by keeping information confidential. Accomplish organization goals by accepting ownership for accomplishing new and different requests. Exploring opportunities to add value to job accomplishments. Managing and Mentoring Junior network engineers. Soft Skills: Excellent organizational skills and solid team player. Solid analytical skills to troubleshoot high level, complex technical problems. Excellent verbal, written, and communication. Maintain a high degree of professionalism and integrity. Must have Skills: LAN, WAN, VLAN, VPN, DHCP, DNS. Virtual Machine implementations. Remote access tools. Asset management. IP/Network Routing. Good to have skills: Shell scripting. Managing Infrastructure on AWS. VoIP, RTP, SIP, SDP.
Senior Product Designer
Celigo
Senior Product Designer About Celigo: Celigo is a modern integration and automation platform (iPaaS) focused on simplifying how companies integrate, automate, and optimize processes. Purpose-built for mission-critical processes, Celigo provides tools like runtime AI and pre-built integrations designed to tackle the biggest integration challenges, making it incomparably easier to maintain. We are seeking a Senior Product Designer who is proactive, unafraid to own and advocate for an iterative design process, and driven towards finding simple, easy-to-use, intuitive, and elegant solutions to complex design problems. You will play a key role in shaping the overall user experience, from conducting discovery user research through to designing micro-interactions for our product UIs. Key Responsibilities: Create design assets such as user journey flows, wireframes, visual designs, service blueprints, prototypes, and detailed specs to capture and convey design behaviors and implementation details. Use user research data (usability studies, surveys, interviews, etc.) and metrics to inform design decisions. Expert in conducting and synthesizing user research with proficiency in qualitative and quantitative methods such as user interviews, surveys, usability testing, and analytics. Lead user research activities (with or without the support of a dedicated researcher), ensuring early validation of product ideas and concepts. Champion good user experiences and share best practices, demonstrating curiosity about customer needs and behaviors. Collaborate closely with product managers, engineers, content strategists, and other designers in an iterative design process. Maintain high standards for usability, accessibility (WCAG), quality, beauty, and consistency using best design practices. Engage in feedback sessions, ensuring alignment with larger product goals, and challenge peers productively. Advocate for user-centered design, ensuring design decisions are rooted in user needs and behaviors. Think big while considering the larger system, sweating the small details that enhance the product. Be a team player with humility, hard work, and a willingness to help others succeed. Informally mentor and provide feedback to other designers. Contribute to shaping the design team s culture through collaboration, feedback, and process iteration. Qualifications: 5-8 years of experience designing delightful user experiences with a portfolio showcasing processes and deliverables. Proven ability to clarify, present, justify, and defend design decisions to stakeholders. Experience contributing to and consuming component-based design systems. Expertise in Figma/FigJam and other relevant UX design, research, and prototyping tools. Strong attention to detail, problem-solving skills, and excellent presentation skills. Significant experience in designing B2B applications or SaaS products, particularly in agile, iterative environments. Demonstrated experience in responsive design patterns and design systems. Strong focus on usability and efficiency, with a drive to simplify complex problems. Strong information design skills with a solid foundation in UX design heuristics. Ability to build strong relationships with cross-functional teams. Ability to thrive in a collaborative, ego-free, cross-functional team environment. Confidence in design leadership and effective communication across teams. Excitement for solving real customer problems with smart, delightful solutions aligned with company goals. Preferred Qualifications: Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design. Experience with motion design, HTML, CSS, JS, and other front-end technologies. Strong understanding of how AI and machine learning can inform design decisions, enhance interactions, and personalize experiences. Visionary in the 2024 Gartner Magic Quadrant for iPaaS and a recognized leader in AI. Remote-first culture and competitive compensation. Generous benefits package including wellness days, vacation, and holidays. Diversity, Equity, Inclusion, and Accessibility: Committed to fostering a collaborative and inclusive work environment through initiatives like the Taking a Stand Committee. Celigo is proud to be an equal-opportunity employer. We value diversity and welcome applicants from all backgrounds to join us in creating a safe and welcoming work environment. Qualification : Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design.
Iim - Assistant Manager
Machint Solutions
IIM - Assistant Manager Experience: 0 - 1+ Year Location: Hyderabad Job Summary: The Assistant Manager- IIT will support the management team in overseeing daily operations and ensuring the efficient functioning of the department. The role requires strong leadership skills, excellent communication abilities, and the capability to manage and mentor team members. Key Responsibilities: Assist in the planning, coordination, and supervision of daily activities within the department. Manage and monitor staff performance, providing guidance and support to ensure high levels of productivity and morale. Ensure compliance with company policies and procedures, as well as industry regulations. Develop and implement strategies to improve operational efficiency and effectiveness. Handle customer inquiries and complaints, ensuring timely and satisfactory resolution. Prepare and analyze reports on departmental performance, identifying areas for improvement and implementing corrective actions. Collaborate with other departments to ensure seamless integration of operations. Assist in budget preparation and management, ensuring cost-effective use of resources. Participate in recruitment, training, and development of staff. Stay updated on industry trends and best practices to ensure the department remains competitive and innovative. Employee Benefits: 5 day working Free Lunch and Snacks Festivals, family day and team outing Health insurance Flexi working environment Company Sponsored certifications Travel opportunities Bonuses- Fixed, variable, project linked, referral etc. Disclaimer: Machint is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Machint is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.machint.com and Follow us on Twitter, Facebook, LinkedIn, and YouTube.
Digital Marketing Head
Machint Solutions
Digital Marketing Head Experience: 10+ Years Technology: SEO / SEM Department: Delivery Employment Type: Full-time, Permanent Job Function: Information Technology Work Mode: Work from Office (Hyderabad) About Machint With a startup spirit as we enter our 5th year of operations, Machint Solutions is looking for curious and courageous minds to join our journey. At Machint, innovation drives everything we do, and we go beyond the ordinary to redefine traditional business processes. We specialize in intelligent automation solutions and offer expert consultancy to help organizations kickstart their digital transformation journey. Our expertise spans RPA, BPM, Data Science, Digital Engineering, AI/ML, QA, and Business Consulting, enabling global organizations to achieve their digital goals. Machint is your Gateway to Transformation. Ready to be part of our exciting journey? Join us! Role Overview We are seeking a Digital Marketing Head who will play a strategic and entrepreneurial role, driving digital growth, expanding our solutions portfolio, and crafting innovative digital marketing campaigns that drive measurable business impact. The ideal candidate is a digital visionary, adept at combining creative strategies with data-driven insights, while fostering strong relationships internally and externally. Key Responsibilities Develop and manage a comprehensive digital marketing strategy, covering SEO/SEM, social media, email marketing, and digital advertising. Maintain and enhance Machint s social media presence across all relevant channels. Measure, analyze, and optimize campaign performance, ensuring data-driven decision-making and continuous improvement. Identify new business opportunities through digital partnerships, influencer collaborations, and vendor agreements. Build and nurture long-lasting customer relationships by understanding their needs and aligning digital efforts to address them. Own the digital sales revenue targets, ensuring campaigns directly contribute to top-line growth. Collaborate with cross-functional teams, including product, sales, and leadership, to align marketing strategies with business goals. Create and present sales reports, performance analysis, and realistic forecasts to the leadership team. Conduct market research to stay ahead of emerging trends, competitor strategies, and evolving customer needs. Leverage analytics tools to track and optimize key digital KPIs, ensuring both brand awareness and lead generation goals are met. Drive content strategy from creative ad copies to website content, ensuring it s engaging, impactful, and aligned with Machint s brand voice. Essential Requirements 10+ years of progressive experience in Digital Marketing leadership roles. Expertise in SEO, SEM, and digital advertising strategies. Proven track record of driving sales through digital channels. Strong understanding of social media algorithms, tools, and best practices. Experience with content creation, editing, and content marketing strategies. Ability to craft presentations, pitch digital strategies, and provide creative direction for campaigns. Experience in collaborating with influencers and driving strategic partnerships. Strong command over Google Analytics, Google Ads, Meta Ads Manager, and other relevant tools. Preferred Candidate Profile Male or Female candidates welcome. Strong understanding of the IT services industry. Excellent communication, interpersonal, and analytical skills. Attention to detail, ensuring accuracy across all marketing campaigns. Ability to work both independently and as part of a collaborative team. Comfortable in a fast-paced, dynamic environment. Employee Benefits 5-day work week Free lunch and snacks Festival celebrations, family day, and team outings Comprehensive health insurance Flexible working environment Company-sponsored certifications Travel opportunities Attractive bonuses Fixed, variable, project-linked, referral bonuses Diversity & Inclusion Machint is an Equal Opportunity Employer, welcoming applicants from all backgrounds, identities, and abilities. We are dedicated to creating an inclusive workplace where everyone feels valued and empowered.
Software Developer 4
Oracle India
Principal Member of Technical Staff - Fusion Applications as a Service (FAaaS) About the Role: The Fusion Applications as a Service (FAaaS) team is building frameworks to facilitate the complete lifecycle management of the Fusion Application Database for provisioning, upgrade, and patching. This initiative is crucial for migrating Oracle's SaaS portfolio, including the multi-billion dollar revenue-producing Fusion applications, into a first-class Oracle cloud citizen. We are developing a next-generation framework optimized for scalability and performance, with a roadmap to handle upcoming features from OCI and Oracle Database. As a Principal Member of Technical Staff, you will own the development of distributed, scalable, and fault-tolerant software systems, responsible for the entire software lifecycle, from development and testing to CI/CD and production operations. This includes balancing product feature development with production operational concerns such as writing runbooks, ops automation, structured logging, and instrumentation for metrics and events, leveraging a wide range of internal OCI tooling. Responsibilities: Design, develop, troubleshoot, and debug software programs for databases, applications, tools, and networks. Build distributed, scalable, and fault-tolerant software systems. Manage the entire software lifecycle: development, testing, CI/CD, and production operations. Address production operational concerns, including runbooks, ops automation, structured logging, and instrumentation. Collaborate effectively within a multi-functional team. Communicate complex technical concepts clearly. Minimum Qualifications: 8-10+ years of experience shipping scalable, cloud-native distributed systems. BE/BTech in Computer Science or equivalent experience. Strong grasp of Computer Science concepts (data structures, algorithms, and programming paradigms). Proficiency in Java, Python, and shell scripting. Working experience with Oracle Database, JDBC, and PL/SQL. Strong understanding of Unix-like operating systems. Experience building scalable frameworks or middle-tier solutions deployed on distributed systems. Strong working experience with: GitHub/Bitbucket, TeamCity/Hudson, Maven/Gradle. Experience with production operations and best practices for deploying and troubleshooting code in production. Excellent verbal and written communication skills (technical proposals, design specs, architecture diagrams, and presentations). Preferred Qualifications: ME/MTech in Computer Science. Experience in a fast-paced start-up environment. Experience diagnosing, troubleshooting, and resolving performance issues in complex environments. Production experience with Cloud and ML technologies. Data science and machine learning knowledge. Qualification : BE/BTech in Computer Science or equivalent experience.
Java Developer
International Business Machines Corporation
Job Title: Java Developer IBM Consulting Introduction In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role and Responsibilities Design and develop Java components using the Spring framework to implement transaction management. Manage Java objects and enterprise integration needs involving messages, routers, transformations, adapters, service activators, management, and auditing. Develop and support application solutions to meet customer requirements. Create technical specifications and unit test cases. Perform application unit testing, translate business and IT (Information Technology) requirements, and interpret data models. Participate in the development of the system test plan and provide technical leadership in system integration testing. Contribute to user acceptance testing and ensure successful implementation. Apply expertise in Dependency Injection/Inversion of Control, Aspect-Oriented Programming, Data Access Framework, Transaction Management Framework, Batch Processing, and ORM framework Hibernate. Required Technical and Professional Expertise BE / B.Tech in any stream, M.Sc. (Computer Science/IT) or M.C.A. 3-5 years of experience in software development. Working knowledge of Java 8 or higher. Proven experience with Spring and Hibernate (Spring 4 or above). Strong understanding of Object-Oriented Programming (OOP) concepts. Proficiency in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File I/O, Serialization, Collections (List, Map, Set), Access Specifiers, and Multithreading and Synchronization. Familiarity with Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management. Experience working with JSP (Java Server Page) / Servlets. Preferred Technical and Professional Expertise Experience with build tools such as Ant, Maven, and Git. Knowledge of design patterns and their optimized usage. Proven work experience with Spring Core, Spring ORM, Spring DAO, Spring AOP, and Hibernate. Work on cutting-edge technologies in a global and innovative environment. Collaborate with industry-leading professionals and visionaries. Enjoy excellent career growth opportunities and continuous learning. Contribute to transformative projects that shape the future of technology. Qualification : BE / B.Tech in any stream,M.Sc. (Computer Science/IT) or M.C.A
Manager - Data Scientist
Blend360 India
Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.
Azure Infrastructure Engineer
Intelex Systems
Position: Azure Infrastructure Engineer Location: Hyderabad, Telangana Employment Type: Full-time, Permanent Industry: IT Services Department: Engineering - Software & QA Role Category: Infrastructure Engineering We are seeking an experienced Azure Infrastructure Engineer to join our team in Hyderabad. The ideal candidate will have hands-on experience with Azure Resource Management, Azure PaaS services, Azure Compute Services, Networking, Storage Solutions, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a critical role in designing, implementing, and managing our Azure infrastructure to support various applications and services, ensuring performance, security, and scalability. Key Responsibilities: Design and implement scalable and secure Azure infrastructure solutions using Azure Resource Manager. Manage and configure Azure PaaS services (e.g., Azure App Services, Azure Functions, Azure SQL Database) to optimize application performance and reliability. Oversee Azure Compute Services, including Virtual Machines, App Services, and Container Instances. Implement and manage networking solutions, including Virtual Networks, Network Security Groups, and VPN gateways to ensure secure communication. Design and maintain storage solutions in Azure, ensuring data availability, redundancy, and security. Implement Identity and Access Management (IAM) solutions using Azure Active Directory and Role-Based Access Control (RBAC) to secure and manage user access. Utilize Azure Monitoring and Diagnostics tools to track infrastructure performance, troubleshoot issues, and optimize system health. Collaborate with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment and efficient infrastructure management. Maintain comprehensive documentation for infrastructure configurations, procedures, and best practices. Stay up-to-date with Azure services, technologies, and best practices, recommending improvements to enhance efficiency, security, and overall performance. Required Qualifications & Skills: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Azure Resource Management: Strong understanding of deployment techniques and resource management within the Azure environment. Azure PaaS Services: Proven experience working with services such as Azure App Services, Azure Functions, and Azure SQL Database. Azure Compute Services: Proficiency in managing and configuring Virtual Machines, App Services, and Container Instances. Networking: Solid knowledge of Azure networking concepts and configurations such as Virtual Networks, Network Security Groups, and VPNs. Storage Solutions: Experience with Azure storage solutions and best practices for ensuring high availability, backup, and security of data. Identity & Access Management: Experience with Azure Active Directory and Role-Based Access Control (RBAC). Monitoring & Diagnostics: Familiarity with Azure Monitoring and Diagnostics tools to ensure optimal system performance and troubleshoot any issues. DevOps Practices: Understanding of DevOps practices and tools, including CI/CD pipelines and automation for efficient infrastructure management and deployment. If you are passionate about Azure infrastructure and want to be part of a high-performing team that designs and manages cutting-edge cloud solutions, we d love to hear from you! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.
Senior Data Scientist
Technovert
Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!
Engineering Manager, Machine Learning
Google Careers
About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.
Manager Data Science
Johnson & Johnson Services, Inc
Description Johnson & Johnson Innovative Medicine is recruiting a Data Science Solutions Manager. The primary location for this position is in India (Hyderabad/Bangalore). Innovative Medicine develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular, Immunology, Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market from patients to practitioners and from clinics to hospitals. In this role, you will: Partner closely with members of the Innovative Medicine R&D data science organization and other business stakeholders to lead a team to implement data science solutions and business intelligence products. You will be responsible for the delivery of engaging and innovative data products, intuitive solutions, analysis ready datasets, dashboards & insights, to make data more accessible and useful As the Data Science Solutions team, we are responsible for partnering directly with stakeholders to understand business needs and deliver products & education to increase data driven insights and decision making. Responsibilities: Recruit, develop and retain talent Provide direction, mentorship, and coaching to a team of data analysts and visualization specialists, fostering an environment of collaboration, innovation, and professional growth Build and maintain relationships with key stakeholders, ensuring that data products and solutions meet their needs while also advancing organizational goals. Apply the knowledge of pharmaceutical R&D processes to develop innovative solutions and products Ability to lead the team to develop and implement high quality data products, analysis ready data sets and apply human centered design to turn data into insights Collaborate with stakeholders to gather user requirements and understand the business needs. Design wireframes taking a user-centric approach to build intuitive products and iterate quickly to land on an efficient design. Review data products with stakeholders to ensure accuracy and alignment with the desired outcomes Incorporate feedback and suggest improvements to enhance the usability and effectiveness of visualizations. Manage multiple priorities simultaneously and consistently deliver high-quality work within established timelines. Set clear expectations with stakeholders regarding deliverables and project timelines. Stay up-to-date with the latest data management and analysis techniques and industry trends. Proactively identify opportunities to leverage data visualizations for improved decision-making. Qualifications A minimum of a Bachelor s degree is required, preferably with a major data science, bioinformatics, technology with 5 years of experience working in pharmaceutical or relevant industry Requirements: Knowledge and experience with pharmaceutical R&D, clinical development and operations Prior experience in working with clinical trial data: biomarker or clinical trial operations / clinical trial feasibility data Strong proficiency in Tableau and SQL: A portfolio of previously built data visualization is mandatory for interview. Expertise in data visualization principles and best practices. Add ability to query relational databases and work with ad-hoc files. Experience working with large and complex data sets. Experience leading teams Comfortable working with stakeholders to gather user requirements and incorporate feedback. Ability to manage multiple priorities and work effectively in a fast-paced environment. Excellent communication and presentation skills. Attention to detail and ability to ensure accuracy in data visualizations. Qualification : A minimum of a Bachelors degree is required
Cloud Operations Manager
Synopsys
About Synopsys At Synopsys, we drive innovations that shape how we live and connect. From self-driving cars to AI-powered machines, our technology is central to the Era of Pervasive Intelligence. We lead in chip design, verification, and IP integration, enabling the creation of high-performance silicon chips and software content. Join us to help transform the future through continuous technological innovation. About You You are an experienced and dynamic CloudOps Manager with a proven track record in managing cloud infrastructure and leading teams to success. You thrive in a fast-paced, innovative environment and are passionate about cloud technologies that drive business outcomes. With deep expertise in AWS, Azure, and GCP, you ensure high availability, scalability, and security of cloud environments. You excel at collaborative problem-solving, incident management, and automation, while leading cross-functional teams and driving continuous improvement. What You ll Be Doing Manage, monitor, and optimize cloud infrastructure across AWS, Azure, GCP, or other cloud platforms. Lead a team of CloudOps engineers, ensuring 24x7 operations and driving team performance. Work closely with development and engineering teams to track issues, implement enhancements, and align cloud operations with business goals. Collaborate with the Customer Success Group to gather customer feedback, identify recurring issues, and provide actionable insights for service improvement. Implement processes for incident detection, response, and resolution to minimize downtime. Drive automation initiatives to improve deployment pipelines, monitoring systems, and operational efficiency. Ensure compliance with cloud security standards and best practices, including data protection and governance. Oversee changes in operations, ensuring smooth transitions and minimal disruptions. Regularly publish support metrics to track performance and service levels. The Impact You ll Have Ensure seamless delivery and optimization of cloud-based services, ensuring high availability and reliability. Lead and mentor a team of CloudOps engineers, fostering a culture of excellence and continuous improvement. Enhance collaboration between cloud operations and internal teams, aligning operations with business goals. Improve customer satisfaction by addressing customer feedback and proactively improving services. Refine incident response procedures, reducing downtime and enhancing service reliability. Drive automation and optimization efforts to increase operational efficiency. Ensure compliance with security standards, safeguarding cloud environments and customer data. What You ll Need 7+ years of experience in cloud operations, with at least 2 years in a leadership role. Strong expertise in AWS, Azure, or GCP (multi-cloud experience is a plus). Hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), container orchestration (Kubernetes, Docker), and CI/CD pipelines. Proven ability to work effectively with cross-functional teams, including development, engineering, and customer success groups. Proficiency in monitoring and automation tools like Prometheus, Grafana, Splunk, or similar. Strong analytical and troubleshooting skills in complex cloud-based systems. Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) are highly desirable. Who You Are Excellent communication, leadership, and project management skills. Experience with hybrid cloud environments. Understanding of ITIL frameworks and service management processes. Familiarity with scripting languages (e.g., Python, Bash). Strong commitment to customer satisfaction and continuous improvement. The Team You ll Be a Part Of You ll join a dedicated and dynamic Cloud Operations team focused on managing, monitoring, and optimizing cloud infrastructure. Our mission is to ensure high availability, scalability, and security of cloud environments while driving business success and customer satisfaction. We collaborate closely with internal teams and the Customer Success Group to deliver exceptional cloud services and continuously improve operations. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to meet your needs. Your recruiter will provide more details about the salary range and benefits during the hiring process. Inclusion and Diversity are integral to our culture. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.
Java Developer
Ibm India
Introduction In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role and Responsibilities Responsible for designing and developing Java components using Spring framework to implement transaction management Will manage Java objects and enterprise integration needs that involves messages, routers, transformations, adapters, service activators, management and auditing. Responsible for designing and developing Java components using Spring framework to implement transaction management, manage Java objects and enterprise integration needs that involves messages, routers, transformations, adapters, service activators, management and auditing. You will design, develop and support application solutions to meet customer requirements. You will develop technical specifications and unit test cases. Perform application unit testing activities such as Translate business and IT (Information Technology) requirements and also Interpret data models. Participates in development of the system test plan and provide technical leadership in system integration testing and participates in user acceptance testing Specialty requires comprehensive understanding of Dependency Injection/Inversion of control, Aspect-oriented programming, Data Access Framework, Transaction Management Framework, Batch Processing and ORM framework Hibernate. Required Technical and Professional Expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience with software development. Experience in have working knowledge on Java 8 or higher. Proven working experience on both Spring and Hibernate (Spring 4 or above). Experience in knowing OOP concepts well. Should be proficient in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File IO (Input/Output) and Serialization, Collections (List, Map, Set), Access Specifiers, Exceptions (Checked, Unchecked), Generics, Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management, Multithreading and Synchronization, JSP (Java Server Page)/ Servlets Preferred Technical and Professional Expertise Should be conversant with Build tools like Ant, Maven and Git Must have experience on Design patterns and Optimize usage. Proven work experience on Spring Core, Spring ORM, Spring DAO, Spring AOP, Hibernate would be an added advantage. Qualification : BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience with software development.
Data Scientist Ii
Microsoft
Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.
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