Manager Deep Learning Engineering Jobs in Hyderabad

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

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.

Senior Software Development Engineer in Test (SDET) QA Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering Role Overview We are seeking an experienced and pragmatic Senior SDET to elevate our testing practices and ensure the reliability and efficiency of our cutting-edge data management, governance, and analytics software at Internet scale. Your work will directly empower decision-makers to leverage data for impactful community improvements. This role requires a hands-on tester with a strategic mindset, able to balance manual exploratory testing with automation and continuous process improvements. You will work closely with product owners, developers, QA teams, and release managers to champion quality throughout the software lifecycle. Key Responsibilities Review and enhance test strategies, plans, and coverage to identify and mitigate risks based on product requirements. Develop and maintain automated test suites, harnesses, and test applications. Collaborate with QA teams and partners to understand system specifications and recommend testability improvements. Enhance CI/CD pipelines with automated testing and scripting to ensure seamless continuous delivery. Partner with developers, product managers, and analysts to ensure testable requirements and robust quality. Drive testability and diagnostics integration into products for faster troubleshooting. Share automation testing best practices and tools across teams. Participate in peer design/code reviews and Agile scrum ceremonies. Perform exploratory/manual testing as needed to support releases. Adhere to coding standards and software development lifecycle processes. Required Qualifications Master s degree in Engineering or a Bachelor s degree with 4+ years of professional software engineering/testing experience. Proficiency in at least one programming language: .NET, Python, or Java. Experience testing enterprise-level applications and systems. Strong background in API testing and automation frameworks/tools. Experience with Jenkins and building/maintaining CI/CD pipelines. Proven expertise in QA processes including test planning, execution, defect tracking, and release management. Hands-on experience with Agile methodologies and sprint ceremonies. Skilled in developing high-quality test automation frameworks. Familiarity with tools like Mocha, Jasmine, JIRA, GitHub, and GitLab. Experience testing cloud applications on Azure, AWS, and on-prem environments. Knowledge of security testing and static code analysis tools. Proficient in querying relational databases and working with complex schemas. Deep understanding of software quality assurance methodologies integrated with SDLC. Work on innovative, impactful data software at Internet scale. Collaborate with a talented global engineering team. Opportunity to influence testing strategies and automation best practices. Dynamic, growth-oriented environment fostering continuous learning. Qualification : Masters degree in Engineering or a Bachelors degree with 4+ years of professional software engineering/testing experience.

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.

Principal Solution Architect Technical Locations: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology firm solving complex, data-intensive challenges for some of the world s most sophisticated financial institutions. Through relentless innovation, we empower clients to achieve transformational outcomes by delivering scalable and intelligent solutions that address critical needs in operations, data, and analytics. As the fintech industry evolves rapidly, Arcesium is uniquely positioned for strategic expansion. Our culture emphasizes intellectual curiosity, proactive ownership, and collaboration. We offer our people opportunities to make meaningful contributions from day one. About the Role We are seeking an experienced and strategic Principal Solution Architect to join our Client and Partner Development team as a Forward Deployed Solution Architect. This is a high-impact, client-facing role that blends technology, business strategy, and consulting. As a key liaison between clients and Arcesium s product teams, you will help articulate and deliver technically robust solutions that meet real-world investment management challenges. Your work will involve defining and delivering platform-powered, scalable architectures that create measurable business value for our clients. Key Responsibilities Solution Architecture & Delivery Collaborate with client stakeholders (CTOs, CDOs, Heads of Technology) to define and accelerate data strategies using Arcesium s platform. Deconstruct complex client problems and architect robust, scalable technical solutions using Arcesium s capabilities. Drive Proof of Concepts (PoCs), end-to-end solution delivery, and platform implementations. Client Engagement & Communication Present high-impact solutions via written proposals, diagrams, demos, and presentations. Lead governance, project planning, and expectation management for assigned clients. Collaborate with client-side development teams to onboard and train them on Arcesium's architecture, APIs, and data flow strategies. Internal Collaboration & Feedback Partner with Forward Deployed Engineers, Data Strategists, and Product Managers to ensure solution success. Provide feedback and improvement opportunities across products, processes, and solution delivery mechanisms. Represent Arcesium s technical capabilities in sales pitches, technical demos, and pre-sales discussions. Ideal Candidate Profile Experience & Background 7 12 years of client-facing experience in solutioning, technical consulting, implementations, or professional services. Prior experience in software development is a strong plus (languages: Python, Java, SQL). Experience managing cross-functional projects across business and technical domains. Technical Skills Deep understanding of solution architecture, system design, and data integration. Familiarity with cloud platforms (e.g., AWS), modern APIs, and data processing pipelines. Strong command of software engineering processes and DevOps practices. Soft Skills Outstanding communication and stakeholder management skills. Demonstrated ability to translate complex technical topics into simple, impactful solutions for diverse audiences. Comfortable working in a fast-paced, high-stakes client environment. Preferred Familiarity with financial services, investment management, or fintech is advantageous. Awareness of industry trends in data strategy, cloud infrastructure, and advanced analytics. Work at the intersection of finance and cutting-edge technology. Be a core part of strategic transformation for some of the world s leading financial institutions. Collaborate with high-caliber peers in a culture of ownership, growth, and excellence. Access continuous learning and development opportunities to accelerate your career. Equal Opportunity Employer Arcesium is an equal opportunity employer. We are committed to building a diverse and inclusive workforce. We welcome individuals from all backgrounds and walks of life to apply.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.

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

Lead UI Developer | ThoughtWorks | Hyderabad, India Location: Hyderabad, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we are a leading global technology consultancy committed to transforming the world with digital innovation. For over 30 years, we have delivered extraordinary impact to our clients by tackling complex business challenges and creating cutting-edge technology solutions. Our diverse, inclusive teams continuously push boundaries and innovate across industries. Join us to work on impactful projects, learn from brilliant minds, and accelerate your career in a culture that values curiosity, growth, and collaboration. Job Overview Key Responsibilities Champion Best Practices: Advocate for best practices like TDD (Test-Driven Development), pair programming, design patterns, and continuous delivery to ensure high-quality software delivery and early value realization for end customers. End-to-End Software Delivery: Oversee or participate in the complete cycle of software consulting and delivery from ideation through to post-production evolution ensuring that business goals are met with technical excellence. Solution Design & Technology Selection: Design solutions that address clients unique challenges, balancing technical constraints and strategic goals. Choose the best technologies to create scalable, modular UI systems. UI System Development: Build user interfaces that are not only functional but also delightful, accessible, and mobile-first. Develop using the latest HTML, CSS, and JavaScript standards. Collaboration & Innovation: Work closely with teams to create features, design concepts, and interactive prototypes. Incorporate UX specifications and ensure best practices are embedded at every stage. Hands-On Development: Continue coding alongside developers to maintain technical depth. Lead by example and contribute directly to building high-quality solutions. DevSecOps & Continuous Delivery: Champion the use of DevSecOps practices, advocating for security and integrating continuous delivery pipelines to ensure rapid and secure software deployment. Client & Team Leadership: Own and drive client relationships, translating their vision into actionable technical solutions. Mentor team members, fostering a culture of growth, feedback, and accountability. Stay on Top of New Technologies: Continuously evaluate emerging technologies and incorporate the latest Technology Radar trends into your solutions. Job Qualifications Technical Skills: Experience: 9-15 years of hands-on experience in UI development, with expertise in JavaScript, Typescript, and Angular (latest version). Frontend Architecture Expertise: Deep understanding of modern UI concepts such as design systems, atomic design, micro frontends, progressive web apps, and backend for frontends (BFF). Responsive & Mobile-First Development: Proven ability to build responsive, mobile-first experiences with complex CSS layouts and best practices. Microfrontend Architecture: Extensive experience designing and implementing microfrontend architecture, with a strong understanding of its principles and benefits. Cross-Browser Compatibility: Skilled in resolving cross-browser and cross-platform compatibility issues and using appropriate workarounds. Development Tools: Proficient in TypeScript, familiar with JavaScript build tools, and comfortable using CI/CD tools and TDD approaches. Web Standards & Accessibility: Strong knowledge of web accessibility standards and the latest web technologies (HTTP, multi-tiered web architectures). Professional Skills: Leadership & Mentorship: Act as a mentor to junior team members, fostering growth through technical expertise and a commitment to delivering extraordinary results. Client-Facing: Ability to develop and execute a technical vision aligned with business value, and serve as a trusted partner to clients. Resilience in Ambiguity: Comfortable with ambiguity and able to approach challenges from multiple perspectives, finding innovative solutions. Influence & Advocacy: Advocate for technical excellence and champion best practices while being open to change and evolving client needs. Learning & Development: ThoughtWorks is committed to supporting your growth. You ll have access to interactive tools, a variety of development programs, and teammates eager to help you grow professionally. Career Growth: There s no one-size-fits-all career path at ThoughtWorks. We balance autonomy with support, ensuring your career evolves as per your personal ambitions. Onsite Work Expectation: You will be expected to work out of ThoughtWorks' office or at client locations for all five working days, depending on the project or business requirements. At ThoughtWorks, we are dedicated to delivering innovative solutions and transforming the way businesses engage with technology. By joining our team, you ll have the opportunity to learn, grow, and make an impact through your work. If you are passionate about building exceptional user experiences and working with cutting-edge technologies, we want you on our team!

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Job Description We are looking for an energetic Technical Product Manager who is passionate about work and has the innate desire to make the product a success. The candidate will be responsible for working with the product team to drive the strategic vision and product roadmap, defining and designing the product features, and contributing to the development of customer collateral to drive the go-to-market activities. Job Profile: Work with the engineering team to drive feature development as per the sprint planning. Ensure that features built are developed correctly and can be used by end users intuitively. Review existing product features using qualitative and quantitative measures, and proactively identify improvement/optimization opportunities to improve user experience. Conduct market research and competitive analysis to guide product development and support go-to-market activities. Research relevant industry trends and features and develop recommendation pitches/proof-of-concepts for product roadmap. Develop user guides, tutorials, internal & external documents to support product release. Develop user stories for features and enhancements. Work with user experience team to create detailed feature specification(s). Iterate through prototypes and validate product with internal and external customers. Core Experience: Computer Science or related engineering degree or equivalent experience. 7 plus years of relevant experience with 3-4 years of technical foundation. Direct relevant working in conferring & collaboration, or communication space. Technical understanding of VoIP, Web RTC added advantage. Experience in working with teams with skills of Angular JS, Mean stack, Web technologies and apps (Android/iOS) or Similar frameworks. Ability to manage an engineering team. Experience working in Agile teams and deep understanding of responsibilities of a product owner in Scrum methodology. Prior working experience as a Software Engineer (or similar) using .NET, web services, desirable knowledge of AngularJS/NodeJS, RDBMS, NOSQL DB. The Nice-to-haves: Ability to communicate clearly and effectively with different functional groups, Architects, developers, business owners, and senior business leaders. Strong analytical capabilities. Should be able to understand and contextually analyze a requirement to arrive at the optimal solution. Familiarity with agile software development practices used to build and deploy web and mobile applications. Excellent oral and written English communication, documentation and prototyping skills. Product management experience with Enterprise Products. Experience in technical architecture of web/mobile applications. Experience designing user interfaces, product design and management. Experience creating examples through wire-frames and mock-ups. MBA from a recognized institute is an added advantage.

Engineering Manager - Platform Location: Hyderabad, India. We re revolutionizing the integration industry and we want you to join us! Our core mission at Celigo is simple: To make automation of business processes as simple as possible by enabling anyone in the enterprise to build or deploy integrations across thousands of cloud applications. You get the best of both worlds: a high energy driven start-up culture with a company that has established itself in the dynamic high growth iPaaS market with thousands of value driven customers. Your Role Celigo is looking for an experienced Engineering manager to lead one of our Platform teams. Our platforms are built to be highly available and scalable supporting large-scale transactions. Our criteria of a successful engineering leader is one who understands the business landscape, is excited to work with people, highly collaborative, energetic, passionate about our product & our customers, and at the same time technically strong & loves technology. You will manage and lead a team of high-caliber developers working on one of our important platform areas. We expect our Engineering Managers to be customer focused, have an excellent grasp on business priorities, and be able to translate the team s contributions to tangible business value for our company. They are passionate about hiring & grooming high quality talent, keeping them focused & motivated and representing the team to leadership. They should possess stellar delivery execution skills, build good relationships with Product Management, have a good understanding of ROI, manage the technical team s roadmap and keep technical debt under control. Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE). 12+ years of total experience in Software Product Development with at least 6 years of team management experience in leading. Experience building and leading team(s) of high-caliber software engineers. Must have successfully delivered complex, demanding projects for large scale SaaS product(s). Experience working in an Agile development environment. Experience playing the scrum master for at least one year is preferred. Excellent communication skills both verbal and written. Strong organizational and time management skills. Experience with full product life cycle including post production release support. Experience working with multiple functions including but not limited to Product Management, Program Management, Quality Assurance, UI/UX design teams, Documentation, Customer Success teams (including Support). Should be experienced in Software Engineering best practices including coding standards, code-reviews, Source Control, CI/CD, Testing, Security Standards, Compliance. Ability to handle ambiguity and comfortable working with minimal specifications. Drive the execution and delivery of features by collaborating with program managers, product owners, engineers (Dev & QA), architects and other cross-functional teams. Collaborate with Product Managers to align on business objectives, priorities, trade-offs and assess risks, if any. Take critical decisions for the team whenever required to result in a successful product delivery. Should foresee issues and prevent/resolve them at the earliest opportunity. Work following Agile development methodologies using various related tools, like JIRA. Ensure the team is motivated, focused, clear on priorities and have all the needed resources for successful execution. Should encourage and be a role-model for the team to go above and beyond. Represent the team in business related discussions and articulate business values of the team s contributions in larger business-focused forums and/or to senior management. Drive technical excellence and high quality deliverables. Should constantly think for the future by building the right infrastructure at the right time. Provide guidance, career development and coaching to team members. Participate in planning, architecture, and design discussions. Collaborate with cross-functional teams for coordination, planning, design decisions, and reviews. Is passionate about making a world-class software organization. Has experience building large-scale distributed platforms either as part of a team or must have managed a team building them. Enjoys a fast-paced environment, working with a highly-talented team and shifting priorities. Has excellent problem solving and analytical skills. Is great at making data-driven decisions; should use appropriate metrics and report using them in Executive/senior leadership meetings. Is comfortable in designing and implementing new processes (or) modify existing processes internally to improve the efficiency of the team. Has the ability to build strong relationships with stakeholders and key partners for the program. Has strong business and technical vision. Can stay abstract or detail oriented as the situation demands. Has demonstrated the ability of thinking big, bringing new ideas, building teams & infrastructure for the future. Learns quickly; must know when to listen, and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE).

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Job Title: Solution Engineer Location: Hyderabad, India Company: Wipro Limited About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global technology services and consulting company. We focus on delivering innovative solutions that address our clients most complex digital transformation challenges. With a holistic portfolio spanning consulting, design, engineering, and operations, we help clients achieve their boldest ambitions and build future-ready businesses. Our global workforce of over 230,000 employees and partners across 65 countries collaborates to drive success for customers, colleagues, and communities. Learn more at www.wipro.com. Role Overview Solution Engineer As a Solution Engineer, you will play a pivotal role in designing and delivering customer showcases and innovation workshops tailored to industry needs. You will partner with business units across verticals including Retail, Banking & Finance, Manufacturing, Communications, and Healthcare to demonstrate cutting-edge solutions leveraging emerging technologies like AI, AR/VR, and IoT. Key Responsibilities Conceptualize, plan, and deliver engaging customer showcases, highlighting innovative solutions and future-ready technologies. Conduct workshops for diverse client stakeholders to demonstrate Wipro s technology capabilities and vision. Collaborate with various Business Units (BUs) to craft tailored agendas and customized visit experiences. Drive and facilitate walk-through sessions aligned to the customer profile and industry landscape. Evangelize innovation through hands-on showcases featuring Artificial Intelligence (AI), Augmented/Virtual Reality (AR/VR), Internet of Things (IoT), and other emerging technologies. Skills & Competencies Strong team player, comfortable working in ambiguous, fast-paced environments similar to a startup mindset. Solid understanding of emerging technology trends and the ability to envision and articulate future technology landscapes. Strong business acumen with a consultative mindset ability to understand industry-specific challenges and customer pain points. Exceptional communication and presentation skills, with the confidence to interact effectively with C-suite leadership. Demonstrated curiosity and continuous learning mindset, with deep expertise in both technology and industry domains. At Wipro, we are reimagining the future by driving digital transformation for our clients. This is a place where you can reinvent yourself whether by enhancing your skills, exploring new ideas, or contributing to industry-shaping innovations. We actively encourage diverse talent and inclusive workplaces where everyone belongs. Applications from people with disabilities are explicitly welcomed. Come to Wipro. Realize your ambitions.

Overview If so, the M65 Security Engineering at Microsoft have a great opportunity for you. We are looking for candidates to work on solutions that protect Microsoft services against cyberattacks. We are a team that values diversity of multiple fronts and believes in deep collaboration bringing the best side of technology. Our team consists of engineers with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in digging in deep to analyse the billions of events and terabytes of data generated each day by all Microsoft products and services (e.g., Azure, M365) services for evidence of suspicious activities. We ensure that critical security components are present throughout the infrastructure powering these services and that these components are kept up to date. Qualifications Required Qualifications: 8+ years of professional software engineering experience designing, building, and running cloud services at large scale in C#, .Net or any high-level programming language. Excellent coding skills, strong understanding in OOPS, design patterns and their application. Self-learner with passion for technologies. Must know Secure by Design principles. Outstanding ability to both work independently and coordinate across geographies. Outstanding ability to communicate complex ideas and concepts to a variety of cross-group stakeholders. Strong organization skills, a bias for action, and ability to deliver results. Proven ability to deal with ambiguity and drive for clarity. Excellent ability to work efficiently, prioritize workflow, ramp quickly, and meet demanding deadlines. Outstanding communication skills and collaboration capabilities. Self-learner with passion for technologies. Able to deep dive in complex areas and self-drive. Preferred Qualifications: Proficient working knowledge of cloud-computing environments like Microsoft Azure, AWS, GCP - Azure preferred. Hands on experience in an object-oriented programming language such as C#, Java or Scala. Strong software design and problem-solving skills. Experience with modern software services engineering practices such as testing in production, live monitoring, data driven engineering. Rapid prototyping and iteration skills the next line. Experience with web service development and familiar with related technologies. Basic automation scripting skills with PowerShell and developing modules. Experience building and shipping production grade software or services. Experience using agile methodologies or test-driven development (TDD) Rapid prototyping and iteration skills. Background Check: Ability to meet Microsoft, customer and/or Government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud background check: This position will be required to pass the Microsoft Cloud background check upon higher/transfer and every 2 years they are after. Microsoft is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, gender, sexual orientation, gender identity or expression, religion, national origin, middle status, age, disability, veteran status, genetic information, or any other protected status. Our Culture: Growth mindset we practice a learn it all vs a know-it-all attitude. Wins are cheered, failures are celebrated and viewed as learning opportunities. Candour we believe in transparency and receiving and providing regular constructive feedback across the hierarchy. Diverse and Inclusive every voice matters and is appreciated. This is a safe environment where you can express yourself without fear of retribution. Leadership oriented each of us are leaderswho strive to create clarity, generateenergy,and deliver success.We believe in leading withempathy,trust,andcontext rather than control. Responsibilities Write well designed code with an emphasis on quality, maintainability, scalability, and performance. Analyse security threats to M365 and build monitoring components to address those threats. Solid understanding of Design and implement to enable real time, highly scalable, performant, and sustainable solutions. Deliver automated and well-tested features across different services and platforms. Use engineering best practices throughout the software development lifecycle to establish maintainable, reliable, and secure systems. Collaborate with teammates in various roles to plan and execute on key deliverables. Work in a culture of continuous improvement, adaptation, reflection, and growth. Learn quickly from your peers, projects, and interactions with customers. Provide on call support and monitor the health of services in production as part of DevOps culture. Execute the Dev-Sec-Ops approach to software delivery by designing, coding, testing, deploying and operating components of Microsoft 365 security monitoring system.

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.

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!

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.

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.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field