data scientist - ai

machine learning engineer

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 Experience working with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP.
 </li>
 <li>
 Experience programming in C, C++, Java, or Python.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Advanced degree in Computer Science or Computer Engineering, or a related field.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
 
 
 Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, conceive, and develop software applications to extend and improve on Google's product offering.
 </li>
 <li>
 Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
 </li>
 <li>
 Collaborate on scalability issues involving access to data and information.
 </li>
 <li>
 Solve challenges/problems that you are presented with.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer, University Graduate, 2026

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 3 years
 
 
 Location: Navi Mumbai
 
 
 JobType : full-time
 
 
 We are seeking a highly skilled
 
 Data Scientist - AI
 
 to design and deploy advanced deep learning systems that uncover actionable insights from diverse data sources, including text, imagery, and time-series datasets. You'll work at the intersection of research and production&mdash;building scalable AI pipelines, fine-tuning transformer models, and collaborating closely with quantitative researchers to turn machine learning outputs into meaningful business signals.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Research, design, and train deep learning models (LLMs, CNNs) to extract and identify pricing or predictive signals from multiple data types.
 </li>
 <li>
 Build and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference.
 </li>
 <li>
 Develop scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools for automated model deployment, monitoring, and version control.
 </li>
 <li>
 Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems.
 </li>
 <li>
 Architect and manage data processing layers in Python and MongoDB to enable reproducible, high-performance experimentation.
 </li>
 <li>
 Collaborate with quantitative researchers to translate ML model outputs into actionable insights or trading signals.
 </li>
 <li>
 Implement evaluation frameworks to continuously monitor model performance, drift, and reliability.
 </li>
 <li>
 Drive innovation by experimenting with multimodal, self-supervised, and reinforcement learning techniques to enhance predictive capabilities.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 3-6 years of experience in data science, applied AI, or ML research (exceptional candidates with less experience are encouraged to apply).
 </li>
 <li>
 Strong proficiency in Python, with expertise in PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with transformer and CNN architectures.
 </li>
 <li>
 Familiarity with Hugging Face, AWS SageMaker, or similar ML orchestration platforms.
 </li>
 <li>
 Proven experience in MLOps &mdash; building, deploying, and maintaining production-grade ML pipelines.
 </li>
 <li>
 Working knowledge of data engineering tools (e.g., MongoDB, Pandas, NumPy, Airflow, Prefect).
 </li>
 <li>
 Solid mathematical foundation in probability, statistics, and optimization.
 </li>
 <li>
 Excellent software engineering practices &mdash; clean, modular code with Git-based version control and CI/CD.
 </li>
 <li>
 A strong sense of curiosity, experimentation, and drive to apply AI solutions to real-world problems.
 </li>
 <li>
 Must be based in or open to relocating to Navi Mumbai.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Data Science | Deep Learning | Machine Learning | PyTorch | TensorFlow | Hugging Face | AWS | MLOps | NLP | Computer Vision | Model Deployment | Data Engineering
</div>

Data Scientist - AI

Morgan Stanley

<div>
 
 Backend Python Developer - Associate - Software Engineering
 
 
 
 
 Profile Description
 
 
 
 
 Division
 
 
 
 We&rsquo;re seeking someone to join our team as (Associate) Python Developer that develops and maintains software solutions that support business needs.
 
 
 
 Institutional Securities Technology
 
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 
 Client &amp; Investor Analytics
 
 
 
 The Counterparty Risk and Margins team is the firm&rsquo;s risk team for assessing and mitigating counterparty risk. We provide a comprehensive set of risk calculations like Stresses, Greeks, VAR, Betas, Exposure and Backtest, which are used to assess risk on counterparty portfolios under different situations. The users of the Risk platform are both internal and external to the firm. Via the Matrix application, we provide the risk platform to our external clients which include large hedge funds, pension funds, etc. Internally, our tools are used by Risk Managers, operations users, as well as senior management in various business lines, to look at the counterparty risk that the firm is exposed to, as well as to assess the risk profiles of potential new clients. This robust platform is also being leveraged by firm's Global Wealth Management group.
 
 
 
 Software Engineering
 
 
 
 This is Associate position that develops and maintains software solutions that support business needs.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 At Morgan Stanley India, we support the Firm&rsquo;s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm&rsquo;s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there&rsquo;s ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
 Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on&hellip;
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Strong technologist with passion for high quality engineering and problem solving.
 </li>
 <li>
 Good collaboration with team members and stakeholders across the globe.
 </li>
 <li>
 Has career development path with opportunities to grow, learn and develop beyond a certain technical skillset.
 </li>
 <li>
 Agile development principle, methodologies and devops adoption of CI/CD/CM.
 </li>
 <li>
 Self-Starter mindset with strong leadership skills and team-oriented goals
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 At least 3 years&rsquo; relevant experience would generally be expected to find the skills required for this role
 </li>
 <li>
 Experience building enterprise-level applications using Python frameworks including Django, Flask, and FastAPI for RESTful API development
 </li>
 <li>
 Expertise in multi-tiered web application design and programming with a solid understanding of modern Python web architectures
 </li>
 <li>
 Programming proficiency in data processing and analysis using Pandas, NumPy, and related data science libraries
 </li>
 <li>
 Experience with API development and integration using JSON, REST principles, and microservices architecture.
 </li>
 <li>
 Django: Full-stack web framework for rapid development of secure and maintainable websites
 </li>
 <li>
 Flask: Lightweight WSGI web application framework for building RESTful services and microservices
 </li>
 <li>
 FastAPI: Modern, high-performance web framework for building APIs with Python based on standard Python type hints
 </li>
 <li>
 Pandas: Data manipulation and analysis library for processing structured data
 
 
 </li>
 </ul>
 
 Good to Have skill
 
 
 
 <ul>
 <li>
 Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Experience with natural language processing (NLP) using libraries like NLTK or spaCy
 </li>
 <li>
 Understanding of data preprocessing techniques for machine learning applications
 </li>
 <li>
 Familiarity with model training, evaluation, and deployment workflows
 </li>
 <li>
 Experience with computer vision libraries such as OpenCV
 </li>
 <li>
 Knowledge of deep learning architectures and their applications
 </li>
 <li>
 Understanding of MLOps practices for model deployment and monitoring
 </li>
 <li>
 Experience with Python package management tools (pip, poetry, conda)
 </li>
 <li>
 Proficiency in deploying Python applications using Docker, Kubernetes, and cloud platforms
 </li>
 <li>
 Knowledge of database integration with Python applications (SQL and NoSQL)
 </li>
 <li>
 Exposure to JIRA, RALLY or other ALM tools to create a productive, high quality development environment.
 </li>
 <li>
 Familiarity with AGILE Process and biweekly scrum. Have used Agile methodology, Continuous delivery and continually seek excellence.
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Python Developer_ Associate_ Software Engineering

JPMorganChase

<div>
 
 Job Description
 
 
 
 Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 
 
 As a Software Engineer I at JPMorgan Chase within the Model Risk Governance &amp; Review (MRGR) team, you will be developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort, including resource management and cost optimization tools. You will provide support for model reviewers and governance teams in building independent testing and efficiency tools. You will be delivering high-quality solutions by emphasizing the importance of data controls, testing, user experience and continuously seek input from users to align efforts with their objectives. Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient.
 
 
 Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. MRGR is a global team of modeling experts within the firm&rsquo;s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. Within MRGR, the Chief Operating Office (COO) supports model risk stakeholders in their review and governance activities, and drives certain governance activities itself, with responsibility for: product ownership, process engineering and software development for model risk technology and analytics; model risk reporting; administration of oversight committees; project management of the review and governance pipeline; coordination of regulatory/audit deliverables including capital stress testing exercises; and general business management. Within COO, MRGR Analytics provides technology solutions for MRGR and its clients, assisting them in performing their tasks more efficiently, accurately, and with better control. Majority of the solutions are built within Athena (JPMorganChase&rsquo;s proprietary framework using Python language), Tableau and QlikView/QlikSense frameworks.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Develop tools to automate various tasks in the model governance and review lifecycle.
 </li>
 <li>
 Build various dashboard reports to help manage the body of work that MRGR deals with.
 </li>
 <li>
 Translate the existing business requirements in model risk management space into business applications using applied development work mostly in Python using in-house built Python framework.
 </li>
 <li>
 Integrate Large Language Models (LLMs) into existing systems to enhance automation, reporting capabilities and decision-making processes.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities.
 </li>
 <li>
 Build intelligent solutions to support the activities of MRGR staff.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 A Bachelors or Masters degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming.
 </li>
 <li>
 Minimum 2 years of full stack application development.
 </li>
 <li>
 Proficient in Python and knowledge of Tornado web framework / TypeScript / React required.
 </li>
 <li>
 Good understanding of software architecture, object-oriented programming and design patterns.
 </li>
 <li>
 Experience with integrating machine learning models, including LLMs, into enterprise applications.
 </li>
 <li>
 Strong communication skills with the ability to interface with other functional areas in the firm on business requirements.
 </li>
 <li>
 Risk and control mindset: ability to think critically, assess user needs and create design solutions to meet user needs.
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Experience in working with large data sets.
 </li>
 <li>
 Exposure to LLM integration and deployment in real-world applications.
 </li>
 <li>
 Strong UI/UX designing skills.
 </li>
 <li>
 Experience in model risk management or financial services space.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.
 
 
 Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
</div>

Software Engineer I

General Mills India

<div>
 Position Title
 
 
 Scientist II &ndash; Statistics
 
 
 Function/Group
 
 
 R&amp;D/Packaging
 
 
 Location
 
 
 Mumbai
 
 
 Shift Timing
 
 
 Regular
 
 
 Role Reports to
 
 
 Assistant Manager, Global Knowledge Solutions
 
 
 Remote/Hybrid/in-Office
 
 
 Hybrid
 
 
 
 About General Mills
 
 
 
 
 We make food the world loves: 100 brands. In 100 countries. Across six continents.
 
 With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
 
 
 How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate.
 
 
 us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
 
 
 General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
 
 
 With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
 
 
 We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
 
 
 
 Job Overview
 
 
 
 
 Function Overview
 
 
 
 In partnership with our cross-functional partners, ITQ innovates and develops products that meet the ever-changing needs of our consumers and enables long-term business growth. We identify and develop technologies that shape and protect our businesses today and into the future. ITQ operates across three organizations: Global Applications, Capabilities COEs, and Shared Services &amp; Operations
 
 
 For more details about General Mills please visit this Link
 
 
 
 Purpose of the role
 
 
 
 The Global Knowledge Services (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.
 
 
 The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value statistical work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.
 
 
 The Scientist II in this program area is expected to: take ownership of the projects, deep expertise in statistical methodologies, data analysis, and model development. They will be responsible for providing advanced statistical consulting services, developing analytics solutions, and supporting decision-making processes across various projects.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 70%of Time-Excellent Technical Work
 </li>
 <li>
 Independently work on projects and take ownership of the deliverables.
 </li>
 <li>
 Provide expert statistical consulting and support to internal and external clients on various projects.
 </li>
 <li>
 Design, implement, and interpret statistical analyses, including hypothesis testing, regression analysis, experimental design, and multivariate analysis.
 </li>
 <li>
 Develop and validate statistical models for predictive and prescriptive analytics.
 </li>
 <li>
 Collaborate with cross-functional teams to translate complex data into actionable insights.
 </li>
 <li>
 Advise on best practices for data collection, quality control, and management.
 </li>
 <li>
 Develop effective strategies for programming and data analysis based on client consultations and project briefs.
 </li>
 <li>
 Create high-quality programs for data preparation, data cleaning, statistical analysis, and results validation.
 </li>
 <li>
 Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.
 </li>
 <li>
 Effectively and efficiently use advanced statistical software (e.g., R, Python) in support of project work.
 </li>
 <li>
 Leveraging multiple data sets to discover new insights.
 </li>
 <li>
 Create accurate and clear summary tables, visualizations, reports, and models that convey the required information and insights.
 </li>
 <li>
 Prepare detailed reports, presentations, and publications to communicate findings and recommendations.
 </li>
 <li>
 Mentor and train team members on statistical techniques and software.
 
 
 </li>
 </ul>
 15% of Time-Client Consultation and Business Partnering
 
 
 <ul>
 <li>
 Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.
 </li>
 <li>
 Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.
 </li>
 <li>
 Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings.
 
 
 </li>
 </ul>
 10% of Time-Innovation, Continuous Improvement (CI), and Personal Development
 
 
 <ul>
 <li>
 Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value.
 </li>
 <li>
 Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes.
 </li>
 <li>
 Continually build skills and knowledge in the fields of statistics, and the relevant sciences.
 
 
 </li>
 </ul>
 5% of Time-Administration
 
 
 <ul>
 <li>
 Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events, and activities.
 </li>
 <li>
 Complete other administrative tasks as required.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Minimum Degree Requirements: Ph.D. in Statistics from an accredited university
 </li>
 <li>
 Minimum 2 years of related experience required
 
 
 </li>
 </ul>
 
 Specific Job Experience Or Skills Needed
 
 
 
 <ul>
 <li>
 D. in Statistics or a closely related field.
 </li>
 <li>
 Extensive knowledge of statistical theories, methodologies, and software (e.g., R, Minitab, Python, SQL).
 </li>
 <li>
 Proven experience in applying statistical techniques to real-world problems across various industries.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently on complex projects.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex statistical concepts to non-technical audiences.
 </li>
 <li>
 Experience with large datasets, data mining, and machine learning is a plus.
 </li>
 <li>
 Working experience in GCP is a plus.
 </li>
 <li>
 Experience in working on a project from inception to end is desirable.
 
 
 </li>
 </ul>
 
 For Global Knowledge Solutions
 
 
 
 <ul>
 <li>
 Ability to effectively work cross-functionally with internal/global team members.
 </li>
 <li>
 High self-motivation, with the ability to work both independently and in teams.
 </li>
 <li>
 Excels at driving projects to completion, with attention to detail.
 </li>
 <li>
 Ability to exercise judgment in handling confidential and proprietary information.
 </li>
 <li>
 Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.
 </li>
 <li>
 Demonstrated creative problem-solving abilities, attention to detail, ability to &ldquo;think outside the box.&rdquo;
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Preferred Major Area of Study: Statistics
 </li>
 <li>
 Preferred Professional Certifications: R, Python
 </li>
 <li>
 Preferred 2 years of related experience
 
 
 </li>
 </ul>
 
 Company Overview
 
 
 
 We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best &mdash; bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what&rsquo;s next.
</div>

Scientist - II

YES BANK

<div>
 
 
 PURPOSE OF THE ROLE:
 
 
 
 
 To design, implement and manage digital learning solutions that enhance capability development across the organization, ensuring engaging, scalable and impactful learning experiences. The role partners with business and HCM stakeholders to identify learning needs, curate content and leverage technology to deliver measurable outcomes.
 
 
 
 
 
 
 
 KEY RESPONSIBILITIES &amp; KPIS OF THE ROLE:
 
 
 
 These responsibilities are representative, and the role holder is also responsible for any other job assigned by the superior authorities from time to time. This section in not intended to be an exhaustive listing of all activities done by the role holder. It should capture only the key responsibilities of the role.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 Strategy and Planning
 
 
 
 Develop digital learning content and solutions aligned to business needs, using instructional design principles and adult learning methodologies.
 
 
 
 Policies, Processes &amp; Procedures
 
 
 
 Ensure digital learning content meets organizational and regulatory needs.
 
 
 Course uploads, Test creation and Maintenance
 
 
 
 Learner Experience
 
 
 
 Create or source engaging content to address capability gaps and for delivering best in class digital learning content.
 
 
 Stay abreast of emerging learning technologies, AI tools and applications to enhance learning impact
 
 
 
 People Management
 
 
 
 Partner with internal and external stakeholders to design and execute engagement campaigns to promote adoption of digital learning initiatives
 
 
 
 
 
 
 OPERATING NETWORK
 
 
 
 Key interactions which are essential to execute the role. This will include both internal (excluding sub-ordinates) and external stakeholders.
 
 
 Learning Partners, Technology team, Subject Matter experts
 
 
 
 
 Digital Content Vendors, LMS providers
 
 
 
 
 
 ROLE PROFILE REQUIREMENTS
 
 
 
 Minimum qualification which are essential to execute the role.
 
 
 
 
 
 
 Education
 
 
 
 
 Essential
 
 : Bachelor&rsquo;s degree in any discipline
 
 
 
 Preferred:
 
 Certification in Digital Instructional Design
 
 
 
 
 
 
 Experience
 
 
 
 
 Essential :
 
 2-3 years&rsquo; experience in digital learning role
 
 
 
 
 
 
 Functional / Behavioral competencies required to execute the role
 
 
 
 
 FUNCTIONAL COMPETENCIES
 
 
 
 Proficiency in LMS administration
 
 
 Familiarity with authoring tools
 
 
 Understanding of learning analytics and data visualization
 
 
 
 
 
 
 BEHAVIORAL COMPETENCIES
 
 
 
 Strong collaboration and Stakeholder management skills
 
 
 Creativity and innovation
 
 
 Agility in the adoption of digital trends
 
 
 
</div>

Digital Learning Partner

Explore 66+ Machine learning engineer in Mumbai this November. Find roles across top companies and apply now to boost your career.

66 machine learning engineer jobs IN Mumbai

Software Engineer, University Graduate, 2026

Software Engineer, University Graduate, 2026

Data Scientist - AI

Python Developer_ Associate_ Software Engineering

Software Engineer I

Scientist - II

Digital Learning Partner