software engineer

automation engineer

engineering manager

quality engineer

associate engineer

ai engineer

BlinkRx

<div>
 
 
 Company Overview:
 
 
 
 Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody.&nbsp; Our two primary products &ndash; BlinkRx and Quick Save &ndash; remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.&nbsp;
 
 
 BlinkRx is the world&rsquo;s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can&rsquo;t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn&rsquo;t have the medication in stock.&nbsp;
 
 
 We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!
 
 
 About the Role
 
 
 You are an engineer who, above all, is excited to build products that give our customers the best possible experience purchasing prescription medications. You have professional experience working on a team turning ideas into reliable, maintainable code &mdash; and ideally, you are eager to apply
 
 AI and machine learning
 
 to make healthcare more accessible, affordable, and personalized.
 
 
 We believe in using a small number of well-known tools like
 
 AWS, Python, Javascript, MySQL/Postgres, and Linux
 
 . We are looking for engineers who value
 
 simplicity, pragmatism, and a bias toward action
 
 , and who are passionate about building products that bring real value to our customers.
 
 
 Software Engineers at Blink are responsible for building our world-class products. Your job is to take ownership over one of our hardest problems, envision and refine strategic solutions, and drive execution like an entrepreneur.
 
 
 You will collaborate closely with a talented, cross-functional team of designers, product managers, data scientists, marketers, and operators. Through these partnerships, you&rsquo;ll grow our business, build our core platform, and&mdash;above all&mdash;make sure that our customers have access to the least expensive and highest satisfaction pharmacy experience on earth.
 
 
 At Blink, we determine the specific focus of engineering roles through the interview process. Key potential areas of ownership include:
 
 <ul>
 <li>
 Our telemedicine platform
 </li>
 <li>
 Our home delivery experience
 </li>
 <li>
 Our growth &amp; personalization systems
 </li>
 <li>
 Our core pharmacy platform
 </li>
 <li>
 New product line development
 </li>
 <li>
 
 
 AI/ML-powered patient support, Order workflow automations using agentic AI, personalization, and automation
 
 
 
 
 </li>
 </ul>
 
 We&rsquo;ll work with you to find the right fit.
 
 
 How to Achieve Success / Acumen
 
 
 All Blinkers are expected to operate with our value of
 
 &ldquo;Good Giving&rdquo;
 
 in mind. Our culture is infused with the dedication and enthusiasm of employees who continuously strive to make a difference. Here&rsquo;s how you will do that in this role:
 
 
 Good Execution &mdash; Do your best work
 
 <ul>
 <li>
 Design and build new APIs to power innovative features
 </li>
 <li>
 Fix performance problems and debug production issues
 </li>
 <li>
 Perform peer code and architecture reviews
 </li>
 <li>
 Build new features, write unit tests, and lead the release of these features to production
 </li>
 <li>
 Develop and A/B test new
 
 ReactJS components
 
 to improve our user experience
 </li>
 <li>
 
 
 Apply AI/ML techniques to optimize search, recommendations, pricing, telehealth workflows, and operational efficiency
 
 
 
 
 </li>
 </ul>
 
 Good Owner &mdash; Be the CEO of your role
 
 <ul>
 <li>
 Help the team ship new products and features successfully with the right skills, mentorship, and organizational resources to deliver amazing experiences for our patients
 </li>
 <li>
 Coach, mentor, and develop engineers to reach individual goals while fostering cross-functional collaboration and product success
 </li>
 <li>
 Take responsibility for the long-term success of product projects and people
 </li>
 <li>
 
 
 Drive adoption of AI tools and frameworks across engineering and product teams
 
 
 
 
 </li>
 </ul>
 
 Good Learning &mdash; Learn something new every day
 
 <ul>
 <li>
 Demonstrate curiosity and an interest in learning new techniques and improving upon best practices to stay up-to-date with current and emerging trends
 </li>
 <li>
 Lead by example: put new ideas into action, fail fast, and learn from each experience
 </li>
 <li>
 
 
 Experiment with cutting-edge AI/ML models, including LLMs, to enhance workflows and customer experience
 
 
 
 
 </li>
 </ul>
 
 Good Feedback &mdash; Consider the perspective of others
 
 <ul>
 <li>
 Listen actively and respond effectively through a variety of channels
 </li>
 <li>
 Give and receive candid and constructive feedback
 </li>
 <li>
 Promote trust and encourage teamwork to allow the product team to do their best work
 
 
 </li>
 </ul>
 
 Desired Experience
 
 <ul>
 <li>
 2+ years in a software engineering role
 </li>
 <li>
 Comfortable working in a highly collaborative environment: we believe a team can be stronger than its individual parts
 </li>
 <li>
 Independent, curious, and comfortable owning features from design through delivery to production
 </li>
 <li>
 Experience with one or more modern programming languages (Python, JavaScript, etc.)
 </li>
 <li>
 Willingness to dive into a large code base and contribute immediately
 </li>
 <li>
 Enjoy writing code that is understandable, maintainable, and testable
 </li>
 <li>
 Collaborative and communicative &mdash; you love being part of a diverse team, building consensus, and establishing credibility. You are a Class-A communicator: curious, thoughtful, clear, and (mostly) correct.
 </li>
 <li>
 BA/BS degree from a top institution; MBA or CompSci degree preferred but not required
 
 
 </li>
 </ul>
 
 AI-Preferred Skills
 
 <ul>
 <li>
 Experience with
 
 AI/ML frameworks
 
 (e.g., MCP servers, n8n, Google ADK, Vector DBs and Langchain)
 </li>
 <li>
 Familiarity with
 
 LLMs, Fine tuning,&nbsp; and generative AI
 
 for personalization and patient support and order workflow
 
 </li>
 <li>
 Experience integrating AI into
 
 production-grade systems
 
 with measurable business impact
 </li>
 <li>
 Interest in applying AI responsibly in healthcare to maximize patient value and trust
 </li>
 </ul>
 
 
 Why Join Us:
 
 
 
 It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population.&nbsp; At Blink, we have a huge impact on people when they are most vulnerable: at the intersection of their healthcare and finances. We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year.&nbsp; Our business model not only helps people, but drives economics that allow us to build a generational company. We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers.
 
 
 We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
</div>

Software Engineer

Quess Corp Limited

<div>
 
 We are urgently hiring for Data Scientist. Kindly find the details below-
 
 
 
 
 
 Experience- 6 t0 10 Years
 
 
 Location- Bangalore
 
 
 Budget- As per market standard
 
 
 Skills- GenAI, Machine Learning, MLOps, Python and PySpark and ADF
 
 
 
 
 
 🔧 Key Responsibilities
 
 <ul>
 <li>
 Design and implement
 
 AI/ML models
 
 including supervised, unsupervised, and reinforcement learning techniques.
 </li>
 <li>
 Lead
 
 Generative AI initiatives
 
 using GPT-3, OpenAI APIs, and custom LLMs for product innovation.
 </li>
 <li>
 Develop and deploy
 
 production-grade solutions
 
 (e.g., TotalPayAI, SFSS, MIZU ML Portal) with robust architecture and performance.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI into existing platforms using
 
 REST APIs, cloud services (GCP, Vertex AI)
 
 , and IoT devices.
 </li>
 <li>
 Build and maintain
 
 data pipelines
 
 using RDBMS (MySQL, PostgreSQL), NoSQL (MongoDB), and cloud-native tools.
 </li>
 <li>
 Apply
 
 ML techniques
 
 such as clustering, decision trees, CNNs, RNNs, and transfer learning to solve business problems.
 </li>
 <li>
 Create
 
 dashboards and visualizations
 
 using Looker Studio, Miro, and other BI tools for stakeholder reporting.
 </li>
 </ul>
 
 
</div>

Data Scientist

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 </li>
 <li>
 Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 </li>
 <li>
 Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 </li>
 <li>
 Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 </li>
 <li>
 Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 </li>
 <li>
 Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 </li>
 <li>
 Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 </li>
 <li>
 Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or related practical experience
 </li>
 <li>
 2+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
 </li>
 <li>
 3+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 </li>
 <li>
 Understanding of standard programming and software engineering practices
 </li>
 <li>
 Proven track record of publishing at academic and industry venues
 </li>
 <li>
 Ability and eagerness to program
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Generative-AI
 </li>
 <li>
 Large Language Models
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Software Engineer, Machine Learning

Impetus

<div>
 
 Experience: 5 - 12 years
 
 
 
 
 
 Location: Bangalore, Noida, Gurgaon, Pune, Hyderabad, Indore
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
 </li>
 <li>
 Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
 </li>
 <li>
 Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
 </li>
 <li>
 Ability to understand business requirements.
 </li>
 <li>
 Usecase derivation and solution creation from structured/unstructured data
 </li>
 <li>
 Storytelling, Business Communication and Documentation
 </li>
 <li>
 Programming Skills &ndash; Python, Scikit-Learn, TensorFlow, PyTorch, Keras
 </li>
 <li>
 Exploratory Data Analysis
 </li>
 <li>
 Machine Learning and Deep Learning Algorithms
 </li>
 <li>
 Model building, Hyperparameter tuning, and Model performance metrics
 </li>
 <li>
 MLOps, Data Pipeline, Data engineering
 </li>
 <li>
 Statistics Knowledge (Probability Distributions, Hypothesis Testing)
 </li>
 <li>
 Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
 </li>
 <li>
 ML services from Clouds such as AWS, GCP, Azure and Databricks
 </li>
 <li>
 
 Optional
 
 - Databricks, Big Data -Basic knowledge of Spark, Hive
 </li>
 </ul>
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 
 
 Acquire skills required for building Machine learning models and deploy them for production.
 
 
 Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills
 
 
 Develop Cloud based applictions including LLM/GenAI and deploy them into production.
 
 
 
</div>

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with and lead highly experienced and passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 </li>
 <li>
 Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 </li>
 <li>
 Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 </li>
 <li>
 Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 </li>
 <li>
 Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 </li>
 <li>
 Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 </li>
 <li>
 Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 </li>
 <li>
 Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Master's degree OR Bachelor's degree with 5+ years of work experience
 </li>
 <li>
 5+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in computer science, statistics, engineering, mathematics, or similar quantitative discipline
 </li>
 <li>
 5+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 </li>
 <li>
 Understanding of standard programming and software engineering practices
 </li>
 <li>
 Proven track record of publishing at academic and industry venues
 </li>
 <li>
 Ability and eagerness to program
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Generative-AI
 </li>
 <li>
 Large Language Models
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Senior Software Engineer, Machine Learning

Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Job Description:
 
 
 
 Customer Experience (CX) organization is founded on delivering the Delta Brand experience via welcoming, elevating, and caring service, offering distinctive and premium choices to our customers across all destinations, and personalizing the experience to create memorable connections and deepened relationship with Delta.
 
 
 CX&rsquo;s Center of Excellence team is established to unlock new capabilities for Personalization, Insights, and Analytics. This team will deliver tangible, immediate incremental value to Delta using Artificial Intelligence/Machine Learning, simulation, optimization, visualization, and advanced analytics
 
 
 
 
 
 
 Responsibilities &amp; Primary Functions:
 
 
 <ul>
 <li>
 Responsible for the design, development, and monitoring of ML/AI models (e.g., forecasting, optimization, propensity models, etc.) that directly address the business requirements and drive measurable CX improvements
 </li>
 <li>
 Collaborates with COE team and business owners to take a data-driven approach in identifying key customer pain-points, uncover insights, and develop techniques to address these issues
 </li>
 <li>
 Demonstrates detailed understanding of data science techniques and machine learning algorithms, calibrating and enhancing existing models, and monitoring model performance
 </li>
 <li>
 Write clean, robust, modular Python code for developing ML models
 </li>
 <li>
 Leverage Gitlab to store, maintain, and collaborate on project code bases; conduct peer review code of fellow data scientists on the team
 </li>
 <li>
 Experience in running experiments applying ML techniques such as Causal ML for evaluating impact of events such as new product launches, failure events, customer pain points, etc.
 </li>
 <li>
 Leverage emerging technologies and identify efficient and meaningful ways to deliver meaningful insights to the business
 </li>
 <li>
 Presents analysis to business users in a digestible way
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, statistics, mathematics, computer science or engineering field
 </li>
 <li>
 3+ years of relevant experience in data science/machine learning, working with traditional ML use-cases that use tabular data
 </li>
 <li>
 Hands-on experience in business case delivers with customer/consumer level data
 </li>
 <li>
 Knowledge and experience in implementing Causal ML for experimentation use-cases
 </li>
 <li>
 Strong grasp of core statistics concepts
 </li>
 <li>
 Thorough understanding of key machine learning algorithms (e.g., supervised and unsupervised learning techniques, while avoiding superficial application of algorithms)
 </li>
 <li>
 Expert proficiency in SQL and Python for data science/machine learning
 </li>
 <li>
 Proficiency in using code repository management applications (i.e., GitHub) for storing, maintaining, and collaborating with others on project code
 </li>
 <li>
 Experience in designing and implementing ML/AI models for cloud-based solutions on leading cloud providers (i.e., AWS, Azure, etc.)
 </li>
 <li>
 Embraces diverse people, thinking, and styles
 </li>
 <li>
 Consistently makes safety and security, of self and others, the priority
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies:
 
 
 <ul>
 <li>
 Ability to produce high quality results, work in a collaborative environment by embracing diverse perspectives and with a solution-based approach.
 </li>
 <li>
 Adapt communication clearly and concisely based on team dynamics and expresses thoughts &amp; ideas effectively.
 </li>
 <li>
 Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.
 </li>
 <li>
 Ability to understand business processes, implement innovative solutions, guide juniors on continuous improvement by constantly updating oneself on current technology &amp; trends.
 </li>
 <li>
 Inquisitive to understand customer and business expectations while bringing more valuable contributions on technical solutions.
 </li>
 </ul>
 
 
 
 
 
 What will give you a competitive edge (preferred qualifications):
 
 
 <ul>
 <li>
 Personal Git repository of ML projects executed on public datasets and/or leveraged in data science competitions
 </li>
 <li>
 Knowledge of additional machine learning areas such as Generative AI &ndash; LLMs, RL, Optimization, etc.
 </li>
 <li>
 Knowledge of ML lifecycle management platforms such as ML Flow, AWS Sagemaker, etc.
 </li>
 <li>
 Knowledge of ML Ops activities
 </li>
 <li>
 Self-motivated and take pride in building great experiences for users, whether they are employees or customers
 </li>
 <li>
 Resourceful in finding the data and tools you need to get the job done
 </li>
 <li>
 Not afraid to ask for help when you need it, or help teammates when they need a boost
 </li>
 <li>
 Intensely curious about finding a solution to the pain-points of our customers along the entire travel experience
 </li>
 </ul>
</div>

Senior Data Scientist [T500-20864]

Microsoft

<div>
 The Commerce Data Platform team is committed to building robust, scalable, extensible and highly reliable data-driven products that empower our commerce business with trustworthy actionable insights and seamless operations. We are seeking a skilled Software Engineer who excels in software engineering best practices and has a passion for leveraging AI-powered coding tools to enhance development efficiency and software quality.
 
 
 As a Platform Software Engineer, you&rsquo;ll be deeply involved in designing, building, and maintaining sophisticated distributed data systems. You will employ core software engineering disciplines&mdash;such as code modularity, CI/CD, automated testing, code reviews, and system design&mdash;while also incorporating AI-based coding practices (e.g., code generation, intelligent code completion, automated refactoring, and static analysis with AI tools) into your daily workflow. Collaboration with cross-functional teams is key to delivering high-quality, scalable, and maintainable solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and maintain distributed data processing systems using state-of-the-art engineering principles.
 </li>
 <li>
 Leverage AI-powered coding tools and practices to accelerate development, ensure code quality, and automate routine tasks.
 </li>
 <li>
 Develop clean, maintainable, and well-documented code with a strong emphasis on unit/integration testing, code reviews, and automation.
 </li>
 <li>
 Build and optimize scalable ETL pipelines for analytics and machine learning applications, using distributed frameworks (e.g., Spark, Hadoop, Synapse).
 </li>
 <li>
 Write advanced SQL for data extraction, transformation, and analysis, ensuring performance and correctness.
 </li>
 <li>
 Collaborate effectively with product, data science, and analytics teams to translate requirements into robust software solutions.
 </li>
 <li>
 Troubleshoot, debug, and proactively improve system reliability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
 </li>
 <li>
 4-5 years of professional experience in software engineering, data engineering, or big data platforms.
 </li>
 <li>
 Solid foundation in software design principles, algorithms, and data structures.
 </li>
 <li>
 Hands-on experience with distributed data processing frameworks (such as Apache Spark, Hadoop, or similar).
 </li>
 <li>
 Strong SQL fundamentals and the ability to write complex, optimized queries.
 </li>
 <li>
 Practical experience with AI-powered coding tools (e.g., GitHub Copilot, TabNine, automated code review/analysis platforms).
 </li>
 <li>
 Experience building and maintaining automated test suites, CI/CD pipelines, Observability and code review processes.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration skills, with a focus on teamwork and shared ownership.
 
 
 </li>
 </ul>
 #C+E
 
 
 #CPXJOBS
 
 
 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>

Software Engineer II

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Senior Data Scientist [T500-20864]

Software Engineer II