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Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Versatile Commerce

<div>
 📍Company: Versatile Commerce
 
 
 📍 Position: Data Scientists
 
 
 📍 Experience: 3-9 yrs
 
 
 📍 Location: Hyderabad (WFO)
 
 
 📅 Notice Period: 0- 15 Days
 
 
 Skills:- Retrieval Augmented Generation (RAG), Machine Learning (ML), Generative AI, Open-source LLMs, Python, NumPy and pandas
</div>

Data Scientists

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC5
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 5

Teradata

<div>
 
 Our Company
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What You'll Do: Shape the Way the World Understands Data
 
 
 
 At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics&trade; platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of
 
 autonomous and agentic systems
 
 
 
 We&rsquo;re building intelligent systems that go far beyond automation &mdash; they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you&rsquo;ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.
 
 
 You&rsquo;ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software &mdash; from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.
 
 
 If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.
 
 
 
 Who You'll Work With: Join Forces with the Best
 
 
 
 Imagine collaborating daily with some of the brightest minds in the company &ndash; individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions.
 
 
 You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.
 
 
 
 What Makes You a Qualified Candidate: Skills in Action
 
 
 
 <ul>
 <li>
 Experience working with modern data platforms like Teradata, Snowflake, and Databricks
 </li>
 <li>
 Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.
 </li>
 <li>
 You are an excellent backend engineer who codes daily and owns systems end-to-end.
 </li>
 <li>
 Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
 </li>
 <li>
 Strong system design skills and understanding of distributed systems.
 </li>
 <li>
 You&rsquo;re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
 </li>
 <li>
 Hands-on experience with Machine learning &amp; deep learning frameworks: TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc. ), and orchestration tools.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Solid understanding of model performance monitoring, drift detection, and responsible AI principles.
 
 
 </li>
 </ul>
 
 What You Bring: Passion and Potential
 
 
 
 <ul>
 <li>
 A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field &ndash; your academic foundation is key.
 </li>
 <li>
 A genuine excitement for AI and large language models (LLMs) is a significant advantage &ndash; you'll be working at the cutting edge!
 </li>
 <li>
 Design, develop, and deploy agentic systems integrated into the data platform.
 </li>
 <li>
 3+ years of experience in software architecture, backend systems, or AI infrastructure.
 </li>
 <li>
 Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.
 </li>
 <li>
 Passion for building safe, human-aligned autonomous systems.
 </li>
 <li>
 Experience in software development (Python, Go, or Java preferred).
 </li>
 <li>
 Familiarity with backend service development, APIs, and distributed systems.
 </li>
 <li>
 Interest or experience in LLMs, autonomous agents, or AI tooling.
 </li>
 <li>
 Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
 </li>
 <li>
 Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.
 </li>
 <li>
 Bonus: Research experience or contributions to open-source agentic frameworks.
 </li>
 <li>
 You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Engineer

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description: EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of d Tue, 18 11 2025 00:00:00 GMT Tech Risk IT Auditor (English Speaker) - Senior - EY GDS Spain - Hybrid* https://careers.ey.com/ey/job/Malaga-Tech-Risk-IT-Auditor-%28English-Speaker%29-Senior-EY-GDS-Spain-Hybrid-29590/1268610701/?feedId=337401&amp;utm_source=LinkedInJobPostings&amp;utm_campaign=j2w_linkedin EY Malaga ES 29590 Malaga, ES, 29590 Malaga, ES, 29590 Technology Risk Senior 1595992-en_US 3785899 Senior IT Auditor
 
 
 </li>
 </ul>
 Our Risk Consulting &ndash; Technology Risk team support to the Financial Audit in account analysis of applications, systems and IT solutions, in order to evaluate and recommend improvements in the IT ecosystem to cover the risks associated with IT environment.
 
 
 
 The opportunity
 
 
 
 As a member of our team in GDS office in Malaga, Spain, you&rsquo;ll have a chance to extend your knowledge &amp; experience by working on the most interesting projects with the newest technologies and approaches. You&rsquo;ll support clients in choosing the most suitable business solution and take part in digital transformation.
 
 
 
 Your Key Responsibilities
 
 
 
 As a Senior IT Auditor you will contribute technically to Risk Assurance client projects and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You will also identify potential business opportunities and risks within projects and share any issues with senior members of the team. In line with EY GDS commitment to quality, you will perform high quality work.
 
 
 Assisting in IT application security assessments (IT Application Controls, IT General Controls, Segregation of duties analysis).
 
 
 Defining and performing IT Audit procedures to assess the operative level of the controls environment.
 
 
 Performing IT testing at least for some of the following technologies and/or areas: ERP SAP, Oracle or MS-Dynamics, Cloud Security, Database Security Audits, SOx audits, Process Automation, IT Asset Management, Software License Reviews, GDPR, ISAE3402, ISO2700 and others.
 
 
 
 Skills And Attributes For Success
 
 
 
 This position requires a real team player with solid communication skills. Furthermore, you are energetic, and you can handle new situations well.
 
 
 <ul>
 <li>
 3-6 years of experience in business analysis, reporting, risk management, finance, IT audit
 </li>
 <li>
 Experiences and competency in IT Audit, control and/or Software Quality Assurance
 </li>
 <li>
 High standard of integrity and confidentiality
 </li>
 <li>
 Highly developed analytical and problem-solving skills
 
 
 </li>
 </ul>
 
 To qualify for the role, you must have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance/Computer Science or similar major.
 </li>
 <li>
 Good organizational and analytical skills.
 </li>
 <li>
 Good command of MS Office Suite (Excel, Power Point, Word, Outlook etc.)
 </li>
 <li>
 Good command of ETL data working with Database
 </li>
 <li>
 Data oriented and data analytics knowledge
 </li>
 <li>
 Fluent in English.
 </li>
 <li>
 Fluent in Spanish or other European language.
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also have
 
 
 
 <ul>
 <li>
 Fluent in Spanish, German, French, Dutch, Portuguese and/or Italian is a plus.
 </li>
 <li>
 Experience in international environments.
 </li>
 <li>
 Knowledge and/or experiences in projects that use SAP.
 </li>
 <li>
 ITIL or SQA or IT audit certifications
 </li>
 <li>
 Competence in Customer Experience.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 We are interested in hiring a proactive professional who will work effectively as an international team member, sharing responsibility, providing support, maintaining communication and updating senior team members on the progress and relevant matters. As an ideal candidate, you shall have a personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations.
 
 
 
 What We Offer
 
 
 
 
 EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across eight locations &ndash; Argentina, China, India, Philippines, Poland, UK, Hungary and Spain &ndash; and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We&rsquo;ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
 
 
 
 <ul>
 <li>
 Continuous learning: You&rsquo;ll develop the mindset and skills to navigate whatever comes next.
 </li>
 <li>
 Success as defined by you: We&rsquo;ll provide the tools and flexibility, so you can make a meaningful impact, your way.
 </li>
 <li>
 Transformative leadership: We&rsquo;ll give you the insights, coaching and confidence to be the leader the world needs.
 </li>
 <li>
 Diverse and inclusive culture: You&rsquo;ll be embraced for who you are and empowered to use your voice to help others find theirs.
 
 
 </li>
 </ul>
 
 About EY
 
 
 
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
 
 
 
 If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
 
 
 
 
 The Exceptional EY Experience. It&rsquo;s Yours To Build.
 
 
 
 
 Senior IT Auditor
 
 
 
 Our Risk Consulting &ndash; Technology Risk team support to the Financial Audit in account analysis of applications, systems and IT solutions, in order to evaluate and recommend improvements in the IT ecosystem to cover the risks associated with IT environment.
 
 
 
 The opportunity
 
 
 
 As a member of our team in GDS office in Malaga, Spain, you&rsquo;ll have a chance to extend your knowledge &amp; experience by working on the most interesting projects with the newest technologies and approaches. You&rsquo;ll support clients in choosing the most suitable business solution and take part in digital transformation.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Microsoft Innovation Center

<div>
 
 Overview
 
 
 
 Are you an engineer that has a passion for working on large scale projects for one of the most exciting and diverse divisions in the company? Are you looking for big, creative challenges that show immediate results since your customers will be just down the hall? Do you want to be at the core of it all, acting as a force multiplier enabling hordes of engineers to do their best work? If so, we have the perfect job for you!
 
 
 The ES365 (Microsoft 365 Engineering Systems) team owns the services/infrastructure that make up the end-to-end developer experience in Office from source control and check-in experience to build, testing, security, compliance, and deployment automation, and we&rsquo;re making big, bold changes &ndash; for the better! We&rsquo;re making it easy to build and ship apps across platforms and endpoints, embracing a &ldquo;one Microsoft&rdquo; philosophy, open source, and industry standard tools. We are a data driven team building on insights from developer signals to enhance developer experience and in turn end-customers achieve more!. (We serve tens of thousands of Office developers internally and Millions of office customers externally. We deal with petabytes of data and trillions of datasets every day.)
 
 
 We&rsquo;re a growing team, looking for great engineers. We have opportunities that span a wide range of front-end and back-end technologies including web application development, cli development, back-end services, AI, managed code, native code, cross-platform, databases, distributed systems, cloud services, and more. You will get ample opportunities to ideate from scratch and have complete ownership for your work!
 
 
 If you have a passion for making engineers productive and happy and with that make M365 customers more productive and happier, we want you in ES365. Come be at the center of Office and join the team that&rsquo;s building the future of Engineering Systems at Microsoft!
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with engineers, program managers, partner teams and end customers to deliver a set of features with the right overall design and architecture.
 </li>
 <li>
 Own and deliver complete features, including design, architecture, implementation, testability, debugging, and shipping.
 </li>
 <li>
 As a technical leader on the team, you will be responsible for sharing insights and best practices that can be applied to improve development across related sets of systems, platforms, and/or products. You will continue to develop your knowledge and understanding of best practices through interactions with more experienced team members.
 </li>
 <li>
 You will provide mentorship and coaching to more junior engineers to help them identify and propose relevant solutions. Mentoring and nurturing the growth of team members.
 </li>
 <li>
 Write clean well-thought-out code with an emphasis on quality, performance, simplicity, durability, scalability and maintainability.
 </li>
 <li>
 Build strong relationships with partners within Microsoft to bring innovation to new and existing features.
 </li>
 <li>
 Be committed to delivering the best experience for our customers.
 </li>
 <li>
 Help create a diverse and inclusive culture where everyone can bring their full and authentic self and where we do our best work as a result.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Excellent design, coding, testing, problem solving, and debugging skills in any language.
 </li>
 <li>
 Proficiency in Object Oriented design with one of these languages - C#, C++ or Java.
 </li>
 <li>
 Excellent communication and collaboration skills.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 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:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 8+ years&rsquo; experience in professional software development.
 </li>
 <li>
 Passion for building highly available distributed systems at scale.
 </li>
 <li>
 Experience working across disciplines, groups, and teams.
 </li>
 <li>
 Experience writing applications using C/C++, C#, TypeScript, or JavaScript.
 </li>
 <li>
 Experience architecting and delivering distributed cloud services, Azure preferred.
 </li>
 <li>
 Experience in Machine Learning and AI.
 
 
 </li>
 </ul>
 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, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
</div>

Senior Software Engineer

Explore 75+ Machine learning engineer in Hyderabad this November. Find roles across top companies and apply now to boost your career.