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senior data scientist

Sapiens

<div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div></div></div></div><div><div><div><div>Req ID: 55174
</div></div></div></div><div><div><div><div>Location:
Bangalore, IN
</div></div></div></div><div><div><div><div><p><b>Sapiens</b> is on the lookout for a <b>Senior</b> <b>Data Scientist</b> to become a key player in our Bangalore team. If you're a seasoned <b>Data Scientist</b><b> </b>pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit.</p><br>
<p></p>
<p><b>Location:</b> Bangalore</p><br>
<p></p>
<p><b>Working Model: </b>Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity.</p>
<p>This position will be part of Sapiens&rsquo; Digital (Data Suite) division, for more information about it, click here: https://sapiens.com/solutions/digitalsuite-customer-experience-and-engagement-software-for-insurers/</p><br>
<p></p>
<p>We are looking for an enthusiastic<b> Senior Data Scientist</b> with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights.</p><br>
<p></p>
<p><b>What you&rsquo;ll do:</b></p>
<div><div><div><div><p><b>Data Collection &amp; Preprocessing</b></p>
<ul><li>Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency.</li>
<li>Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data.</li>
</ul><p><b>Model Development &amp; Evaluation</b></p>
<ul><li>Building predictive models to enhance accuracy.</li>
<li>Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms.</li>
</ul><p><b>Reporting &amp; Visualization</b></p>
<ul><li>Create clear and informative data visualizations and reports to communicate insights to business stakeholders.</li>
<li>Tracking key metrics and performance indicators related to business objectives.</li>
</ul><p><b>Cross-functional Collaboration</b></p>
<ul><li>Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions.</li>
<li>Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives.</li>
</ul><p><b>Research &amp; Learning</b></p>
<ul><li>Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry.</li>
<li>Participate in ongoing training and development programs to enhance technical skills and industry knowledge.</li><br>
</ul><p></p><p><b>What to Have for this position.</b></p>
<p><b>Must have Skills.</b></p><br>
</div></div><br>
</div></div><p></p><div><div><div><div><ul><li>Education: Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Master&rsquo;s degree is a plus.</li>
<li>Experience : 4+ years of experience in data science or analytics</li>
<li>Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required.</li><br>
</ul></div></div><br>
<div><div><ul><li>Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry.</li>
<li>Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus.</li>
<li>Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis.</li><br>
</ul></div></div><br>
<div><div><ul><li>Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn.</li>
<li>Data Manipulation: Basic skills in SQL for querying and extracting data from databases.</li>
<li>Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics.</li>
</ul><p><b>Required Soft Skills:</b></p><br>
<p></p><ul><li><b>Curiosity &amp; Willingness to Learn</b>: Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain.</li>
<li><b>Problem-Solving Skills</b>: Ability to approach challenges analytically and think critically about data and project requirements.</li>
<li><b>Attention to Detail</b>: Keen eye for detail in data handling and model development to ensure high-quality outcomes.</li>
<li><b>Communication Skills</b>: Clear and concise communication skills, with the ability to present findings and insights effectively.</li>
</ul><p><b>Team Collaboration</b>: Willingness to work collaboratively within a team, receiving and applying feedback from senior team members.</p><br>
</div></div><br>
<br>
</div></div><div></div><p><b>About Sapiens</b></p>
<p>Sapiens is a global leader in the insurance industry, delivering its award-winning, cloud-based SaaS insurance platform to over 600 customers in more than 30 countries. Sapiens&rsquo; platform offers pre-integrated, low-code capabilities to accelerate customers&rsquo; digital transformation. With more than 40 years of industry expertise, Sapiens has a highly professional team of over 5,000 employees globally.</p>
<p>For More information visit us on www.sapiens.com.</p><br>
<p></p>
<p><b>Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds.</b></p><br>
<p></p>
<p><b>Disclaimer:</b> Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution.</p>
<p>In the event that you come across any fraudulent activities in the name of Sapiens , please feel free report the incident at sapiens to sharedservices@sapiens.com.</p></div></div></div></div></div><p></p>

Senior Data Scientist

VisionaryHire

<p><i><b>Exciting Opportunity for a Senior Data Scientist in Credit Risk (Contract Role | Gurgaon)</b></i></p><p>We&rsquo;re hiring a <b>Senior Data Scientist</b> to join our <b>Housing Finance business in Gurgaon</b> on a <b>full-time contractual basis (3 months</b>) starting <b>September 5, 2025</b>.</p><p>If you have <b>5&ndash;8 years of experience</b> in data science with a strong background in credit risk modelling, this could be the perfect fit.</p><p><b>What You&rsquo;ll Do:</b></p><p>Develop and implement credit risk models to support credit decisioning and portfolio risk management</p><p>Build and deploy scorecards, regression models, decision trees, GBMs, and other machine learning techniques</p><p>Work closely with risk, underwriting, and product teams to translate data insights into business strategies</p><p><b>What We&rsquo;re Looking For:</b></p><p><b>5&ndash;8 years</b> of hands-on experience with <b>Python, R, and SQL</b></p><p>Proven track record in <b>statistical modelling and machine learning.</b></p><p>Prior experience in <b>credit scoring or financial risk analytics is mandatory</b></p><p><i><b>Job Details:</b></i></p><p><b>Job Type: </b>Contractual &ndash; Full Time (3 months)</p><p><b>Location: </b>On-site in Gurgaon</p><p><b>Start Date:</b> September 5, 2025</p><p>---</p><p>If you&rsquo;re ready to make an impact in financial risk analytics, we&rsquo;d love to hear from you.<br/><i><b>Apply now or reach out directly to start the conversation.</b></i></p><p>Job Types: Full-time, Contractual / Temporary<br/>Contract length: 3 months</p><p>Pay: &#8377;90,000.00 - &#8377;100,000.00 per month</p><p>Work Location: In person</p>

Innovator Web Solution

<p><b>Senior Data Scientist (8+ Years Experience)</b></p><p><b>Location</b>: Malad West, Mumbai</p><p><b>Company</b>: Innovator Web Solution Pvt. Ltd.</p><p><b>About the Role</b></p><p>We are looking for a visionary Senior Data Scientist who excels in predictive analytics and machine learning. You will lead the design, development, deployment, and optimization of data-driven products that drive high business impact&mdash;such as forecasting the price/value of stocks, commodities, or consumer goods (e.g., apparel, retail).</p><p>This role is for someone who has successfully taken machine learning models from concept to production, iteratively improved them based on user feedback and real-world performance, and thrives on delivering measurable results.</p><p><b>Key Responsibilities</b></p><ul><li>End-to-End Product Ownership: Lead the development of predictive models from exploration and prototype to full-scale production deployment.</li><li>Forecasting &amp; Prediction: Build robust time-series and regression models to predict prices/values of financial assets, oil, apparel, and other commodities.</li><li>Model Optimization: Continuously monitor and fine-tune models for accuracy, performance, and scalability using real-time data feedback.</li><li>ML Ops &amp; Deployment: Collaborate with engineering to ensure successful deployment and monitoring of models in production environments.</li><li>Stakeholder Collaboration: Translate business problems into analytical frameworks, working closely with product, strategy, and business teams.</li><li>Data Strategy: Define and manage pipelines and feature stores using structured and unstructured data sources.</li><li>Mentorship: Guide and mentor junior data scientists and analysts in best practices and advanced modeling techniques.</li><li>Required Qualifications 8+ years of experience in data science, with a strong background in predictive analytics and machine learning.</li><li>Proven experience building and scaling ML models in production environments (not just notebooks or PoCs).</li><li>Deep expertise in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, LightGBM, TensorFlow/PyTorch).</li><li>Strong knowledge of time-series forecasting, regression techniques, and feature engineering.</li><li>Experience in domains such as finance, commodities, retail pricing, or demand prediction is highly preferred.</li><li>Experience working with cloud platforms (AWS, GCP, or Azure) and tools like Airflow, Docker, and MLflow.</li><li>Ability to define success metrics, conduct A/B tests, and iterate based on measurable KPIs.</li><li>Excellent communication and storytelling skills with both technical and non-technical stakeholders.</li><li>PreferredExperience with LLMs, deep learning, or hybrid modeling approaches.</li><li>Familiarity with data privacy, compliance, and governance in production systems.</li><li>Publications or thought leadership in applied machine learning or forecasting.</li><li>Why Join Us?Work on high-impact projects with massive data volumes.</li><li>Shape predictive products that directly influence strategic business outcomes.</li><li>Join a collaborative, data-first culture with real ownership and innovation.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Malad, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>Are you an immediate joiner ? </li></ul><p>Experience:</p><ul><li>Data science: 8 years (Required)</li><li>Python: 8 years (Required)</li></ul><p>Work Location: In person</p>

Infoorigin Inc

<p>NEW OPPORTUNITY || IMMEDIATE TO 45 DAYS JOINERS REQUIRED ||</p><p>Position Title:- Data Scientist</p><p>Experience Required:- 5+ Years</p><p>Location:- Noida, UP (Hybrid)</p><p>About the Role</p><p>We&rsquo;re seeking a seasoned Senior Data Scientist to lead NLP/ML research efforts and architect end-to-end solutions. You will be instrumental in driving innovation, mentoring junior team members, and working closely with stakeholders to align AI capabilities with strategic goals.</p><p>Key Responsibilities</p><ul><li>Lead the development and deployment of production-grade NLP and ML models.</li></ul><ul><li>Work with large language models (LLMs), RoBERTa, GPT APIs, and hybrid architectures.</li></ul><ul><li>Guide and review the work of junior scientists and interns.</li></ul><ul><li>Develop pipelines for training, evaluation, and continuous model monitoring.</li></ul><ul><li>Collaborate with cross-functional teams to scope new projects and define success metrics.</li></ul><ul><li>Write technical papers, PoCs, and support patentable innovations when applicable.</li></ul><p>Required Skills</p><ul><li>5-7 Years of deep knowledge of modern NLP architectures (transformers, LLMs, embeddings).</li><li>Design, build, and deploy Generative AI models (e.g., LLMs, Diffusion Models) into production systems.</li><li>Strong understanding of Neural Networks, Transformer models (e.g., BERT, GPT), and deep learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Proficiency in Python and ML libraries (e.g., Scikit-learn, Hugging Face, Keras, OpenCV).</li><li>Proficiency in data pipelines, MLOps, model versioning, and evaluation frameworks.</li><li>Ability to distill complex problems and explain them clearly to technical and non-technical audiences.</li></ul><p>Preferred Qualifications</p><ul><li>Published work in conferences/journals or experience contributing to open-source projects.</li></ul><ul><li>Familiarity with vector databases (Pinecone, FAISS), LangChain, or prompt engineering.</li></ul><ul><li>Experience in managing research interns or small AI/ML teams.</li></ul><p>Education</p><ul><li>Master&rsquo;s or PhD in Computer Science, Machine Learning, or a related field.</li></ul><p>Job Type: Full-time</p><p>Pay: From &#8377;800,000.00 per year</p><p>Application Question(s):</p><ul><li>How many years of total experience do you have?</li><li>Do you have Strong understanding of Neural Networks, Transformer models (e.g., BERT, GPT), and deep learning frameworks (e.g., TensorFlow, PyTorch)?</li><li>Are you proficient in Python and ML libraries (e.g., Scikit-learn, Hugging Face, Keras, OpenCV)?</li><li>Do you have proficiency in data pipelines, MLOps, model versioning, and evaluation frameworks?</li><li>Do you have deep knowledge of modern NLP architectures (transformers, LLMs, embeddings)?</li></ul><p>Work Location: In person</p>

Scry Analytics India Pvt Ltd

<div><div><b>About the Role:</b></div><div>
We are seeking a highly skilled and innovative Senior Data Scientist to join our dynamic team and lead the development and deployment of advanced Generative AI (GenAI) solutions. The ideal candidate will have significant hands-on experience with large language models (LLMs) such as OpenAI and Claude, Retrieval-Augmented Generation (RAG) architectures, and frameworks like LangChain. Experience with Kedro for data pipeline orchestration and Docker for deployment is required. The candidate must have a</div><div>
proven track record of taking GenAI prototypes to production in real-world environments.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li>
Architect, build, and deploy scalable GenAI applications using OpenAI, and Retrieval-Augmented Generation (RAG) techniques.</li><li>
Design and orchestrate modular, reproducible, and robust data pipelines leveraging Kedro for end-to-end machine learning workflows.</li><li>
Integrate LangChain to develop advanced natural language workflows and enhance AI-powered applications.</li><li>
Take GenAI prototypes from concept to production, ensuring reliability, scalability, and maintainability in real-world environments.</li><li>
Containerize machine learning and GenAI solutions with Docker for seamless deployment and scalability across cloud and on-premises platforms.</li><li>
Collaborate with cross-functional teams&mdash;including Engineering, Product, and Operations&mdash;to align AI solutions with business goals and deliver measurable impact.</li><li>
Mentor and support junior team members, sharing best practices in data science, MLOps, and GenAI deployment.</li><li>
Continuously evaluate and implement emerging AI technologies, driving innovation and excellence in our AI capabilities.</li></ul><div></div><div><b><br>
Key Qualifications</b></div><ul><li>
4+ years of experience in GenAI, data science, machine learning, or AI-focused roles. 2+ years of experience in GenAI.</li><li>
Advanced proficiency in Python; extensive experience with OpenAI APIs, and other modern LLMs.</li><li>
Strong background in Retrieval-Augmented Generation (RAG) methods and architectures.</li><li>
Proven expertise with LangChain for natural language processing and workflow automation.</li><li>
Demonstrated experience taking GenAI prototypes to production environments.</li><li>
Experience building and orchestrating data pipelines with Kedro.</li><li>
Proficient in Docker-based containerization and deployment (Kubernetes a plus).</li><li>
Knowledge of data engineering and software engineering best practices.</li><li>
Excellent communication, collaboration, and mentoring skills.</li><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Engineering, or a related field.</li><li>
Experience with working on SQL DB like Postgres and No-SQL DB like MongoDB</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Experience with AWS or other major cloud platforms.</li><li>
Experience with CI/CD tools and automated testing frameworks.</li><li>
Open-source contributions, technical presentations, or publications in AI/ML.</li><li>
Previous leadership or mentorship of technical teams.</li><li>
Building Backend Python APIs</li></ul></div><div></div>

Qode

<b>Job Description:</b> We are looking for a Data Scientist with expertise in AI/ML, Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs). The role requires strong skills in Python, SQL, and database technologies to design, build, and optimize intelligent data-driven solutions.
<br><b>Responsibilities:</b> Develop and deploy AI/ML and GenAI models with RAG and LLM techniques.Work with Python, SQL, and databases to manage and analyze large datasets.Collaborate with teams to deliver data-driven insights and scalable AI solutions.
<br><b>Qualifications:</b> Proven experience in AI/ML, GenAI, RAG, and LLMs.Strong programming skills in Python and query expertise in SQL.Hands-on experience with databases (SQL/NoSQL/graph).

Microsoft

<div><p>Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business &amp; Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.</p><p>
 We are looking for a Senior Data Scientist to join our team!<br>
This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft CES Team You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.</p><p>
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.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p>
As a Senior AI Applied Scientist for (insert specific team within BIC), you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.<br>
<br>
You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.</p><p><b>
AI</b><b> </b><b>Mission and Impact</b></p><p>
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.</p><p>
We are looking for an (insert role/ external title) to join our team<br>
<br>
This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents.</p><p>
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.</p><p><b>
Responsibilities</b></p><p><b>
Bringing the State of the Art to Products</b></p><ul><li>
Build collaborative relationships with product and business groups to deliver AI-driven impact</li><li>
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.</li><li>
Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.</li><li>
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.<br>
Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.</li><li>
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.</li></ul><p><b>
Leveraging Research</b><b> in real-world problems</b></p><ul><li>
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.</li><li>
Share insights on industry trends and applied technologies with engineering and product teams.</li><li>
Formulate strategic plans that integrate state-of-the-art research to meet business goals.</li></ul><p><b>
Documentation</b></p><ul><li>
Maintain clear documentation of experiments, results, and methodologies.</li><li>
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing</li></ul><p><b>
Ethics</b><b>,</b><b> Privacy</b><b> and Security</b></p><ul><li>
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks&mdash;including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns&mdash;to ensure equitable and responsible outcomes.</li><li>
Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.</li><li>
Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.</li></ul><p><b>
Specialty Responsibilities</b></p><ul><li>
Design, develop, and integrate generative AI solutions using foundation models and more.</li><li>
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems</li><li>
Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.</li><li>
Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics</li><li>
Address scalability and performance issues using large-scale computing frameworks.</li><li>
Monitor model behavior, , guide product monitoring and alerting, and adapt to changes in data streams.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><br>
<div></div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND <b>7+ years of experience in AI/ML, predictive analytics, or research</b><br>
<ul><li>OR Master&rsquo;s degree AND 7+ years of experience</li><li>OR PhD AND 4+ year of experience</li><li>OR equivalent experience</li></ul></li><li>
1+ years of experience with generative AI OR LLM/ML algorithms</li></ul><div><b>
Other Requirements:</b></div><ul><li>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.</li><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><p><b>
Preferred Qualifications</b><b>:</b></p><ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.</li><li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)</li><li>
3+ years of experience publishing in peer-reviewed venues or filing patents</li><li>
Experience presenting at conferences or industry events</li><li>
3+ years of experience conducting research in academic or industry settings</li><li>
1+ year of experience developing and deploying live production systems</li><li>
1+ years of experience working with Generative AI models and ML stacks</li><li>
Experience across the product lifecycle from ideation to shipping</li></ul><br>
<div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

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