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director of ai/ml research & development

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associate, ml data operations, go-ai operations Jobs in Bangalore

associate, ml data operations, go-ai operations

data scientist artificial intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 An AI Data Scientist at IBM is not just a job title - it&rsquo;s a mindset. You&rsquo;ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
 
 
 We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
 
 
 Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
 
 
 
 Day-to-Day Duties
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
 </li>
 <li>
 Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
 </li>
 <li>
 Strong track record in scientific publications or open-source communities
 </li>
 <li>
 Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Google DeepMind

<div>
 Snapshot
 
 
 Artificial Intelligence could be one of humanity&rsquo;s most useful inventions. At Google DeepMind, we&rsquo;re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
 
 
 
 About Us
 
 
 
 The AnthroKrishi team at Google DeepMind is building a digital understanding of global agriculture to ensure a sustainable and food-secure future. We develop and deploy AI models that operate at a planetary scale, turning satellite data into actionable intelligence. Our work helps farmers, policymakers, and humanitarian organizations worldwide. We are solving fundamental AI challenges to address one of humanity's greatest needs. Join us to build AI for the benefit of humanity.
 
 
 Refer to our website here.
 
 
 The role
 
 
 As a Research Scientist on the AnthroKrishi team, you will develop next-generation AI to address global challenges in food security and climate change. You will lead research that pushes the boundaries of computer vision and machine learning, with a direct path to impacting global agricultural systems.
 
 
 Key responsibilities
 
 
 <ul>
 <li>
 Pioneering novel computer vision models to create a unified understanding of agriculture from diverse satellite data sources.
 </li>
 <li>
 Solving core AI problems by developing generalizable models that are robust across varied agricultural systems, from smallholder farms to large-scale industrial fields.
 </li>
 <li>
 Leading research toward the grand challenge of field-level crop yield forecasting. This involves advancing spatio-temporal reasoning and learning effectively from limited or sparse data.
 </li>
 <li>
 Designing and executing large-scale experiments, writing high-quality, reusable code (JAX preferred), and contributing to a production-ready system.
 </li>
 <li>
 Mentoring junior researchers, collaborating with cross-functional teams across Google, and publishing your work at top-tier conferences.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 PhD or equivalent practical research experience in Computer Science, AI, or a related field with a focus on computer vision and/or machine learning.
 </li>
 <li>
 A strong publication record in top-tier AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
 </li>
 <li>
 Hands-on experience building and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch.
 
 
 </li>
 </ul>
 
 In addition, the following would be an advantage:
 
 
 
 <ul>
 <li>
 Demonstrated expertise in one or more of the following: generative models, segmentation algorithms, multi-modal fusion, spatio-temporal analysis.
 </li>
 <li>
 Experience with or a strong interest in remote sensing or geospatial data.
 </li>
 <li>
 A passion for applying AI to solve large-scale societal challenges like climate change and food security.
 </li>
 <li>
 Experience mentoring students or junior researchers.
 
 
 </li>
 </ul>
 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
</div>

Research Scientist, AnthroKrishi

Norstella

<div>
 
 Description
 
 
 
 About Norstella:
 
 
 At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker&mdash;and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle &mdash;and get the right treatments to the right patients at the right time.
 
 
 Each Organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) Delivers Must-have Answers For Critical Strategic And Commercial Decision-making. Together, Via Our Market-leading Brands, We Help Our Clients
 
 
 <ul>
 <li>
 Citeline &ndash; accelerate the drug development cycle
 </li>
 <li>
 Evaluate &ndash; bring the right drugs to market
 </li>
 <li>
 MMIT &ndash; identify barrier to patient access
 </li>
 <li>
 Panalgo &ndash; turn data into insight faster
 </li>
 <li>
 The Dedham Group &ndash; think strategically for specialty therapeutics
 
 
 
 </li>
 </ul>
 By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Norstella is seeking a skilled and dynamic Product Owner with a background in data science and artificial intelligence to join our team. As a Product Owner, you will play a crucial role in driving the development and success of our innovative products in the life sciences industry.
 </li>
 <li>
 You will collaborate closely with cross-functional teams, stakeholders, and clients to ensure the successful delivery of our market-leading solutions.
 
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Manage the product backlog and prioritize features based on business value, customer needs, and market trends.
 </li>
 <li>
 Define, refine, and communicate product vision, goals, and user stories to the development team and stakeholders.
 </li>
 <li>
 Collaborate closely with the development team to translate requirements into actionable tasks and ensure timely delivery of high-quality products.
 </li>
 <li>
 Conduct market research, competitive analysis, and gather customer feedback to identify market needs and drive product enhancements.
 </li>
 <li>
 Work closely with stakeholders, including clients and internal teams, to gather requirements, address concerns, and ensure alignment on product strategy and roadmap.
 </li>
 <li>
 Facilitate agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
 </li>
 <li>
 Serve as the primary point of contact for product-related questions, issues, and updates from stakeholders and clients.
 </li>
 <li>
 Maintain a deep understanding of customer personas and workflows, market challenges, competitors, industry regulations, and available technology to inform product decision-making.
 </li>
 <li>
 Collaborate with the UX/UI design team to create intuitive, accessible, secure, innovative, and user-friendly product interfaces.
 </li>
 <li>
 Ensure effective communication and collaboration across all levels of the organization, including technical and non-technical stakeholders.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience as a product owner, product manager, data scientist, data analyst, or business analyst.
 </li>
 <li>
 Proven experience in managing product backlogs, defining user stories, and prioritizing features.
 </li>
 <li>
 Strong understanding of agile methodologies (Scrum, Kanban, etc.) and ability to apply agile principles in a fast-paced development environment.
 </li>
 <li>
 Excellent communication, presentation, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
 </li>
 <li>
 Exceptional problem-solving skills and ability to make data-driven decisions.
 </li>
 <li>
 Proficient in using project management and collaboration tools (e.g., JIRA, Confluence, Lucid, Figma, Monday) to manage product development processes.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Background in data science and artificial intelligence technologies within the life sciences, pharmaceutical, biotech, or healthcare industry.
 </li>
 <li>
 Experience using SQL or other data access tools to enable self-discovery of data.
 </li>
 <li>
 Experience working with diverse stakeholders, including healthcare providers, payers, and regulatory bodies.
 
 
 
 </li>
 </ul>
 Our Guiding Principles for success at Norstella
 
 
 
 01:
 
 Bold, Passionate, Mission-First
 
 
 
 02:
 
 Integrity, Truth, Reality
 
 
 
 03:
 
 Kindness, Empathy, Grace
 
 
 
 04:
 
 Resilience, Mettle, Perseverance
 
 
 
 05:
 
 Humility, Gratitude, Learning
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Health Insurance
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Reimbursement of Certification Expenses
 </li>
 <li>
 Gratuity
 </li>
 <li>
 24x7 Health Desk
 
 
 
 </li>
 </ul>
 
 Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people&rsquo;s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual&rsquo;s abilities, skills, performance and behavior and our business requirements. Norstella operates a zero tolerance policy to any form of discrimination, abuse or harassment.
 
 
 
 
 Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we&rsquo;re just as excited about you.
 
 
 
 
 All legitimate roles with Norstella will be posted on Norstella&rsquo;s job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: ApplicationHelp@norstella.com.
 
</div>

Product Owner

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Principal Scientist &ndash; Adobe Experience Platform
 
 
 Our Company
 
 
 At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune&rsquo;s &ldquo;100 Best Companies to Work For&rdquo; for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you&rsquo;re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We&rsquo;re passionate about redefining how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
 
 
 The Opportunity
 
 
 Adobe is redefining customer intelligence. We help enterprises understand their customers deeply&mdash;what they value, what they need&mdash;and translate that understanding into meaningful, personalized experiences.
 
 
 The
 
 Adobe Experience Platform (AEP)
 
 is at the heart of this mission, powering data integration, governance, advanced analytics, and intelligent services at global scale. Our next chapter focuses on
 
 agent-driven AI systems
 
 &mdash;autonomous, adaptive agents that orchestrate complex workflows, learn from data, and deliver real-time insights and actions.
 
 
 At the core lies our
 
 Enterprise Knowledge Base
 
 , a foundational platform that unifies structured, unstructured, and semi-structured data. This system fuels advanced AI and Generative AI applications across Adobe&rsquo;s digital marketing ecosystem&mdash;empowering customers to unlock richer, more intelligent experiences.
 
 
 We are looking for someone who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. You&rsquo;ll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.
 </li>
 <li>
 Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP).
 </li>
 <li>
 Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.
 </li>
 <li>
 Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.
 </li>
 <li>
 Experience with foundation models (OpenAI/Anthropic/Llama/Gemini) and model adaptation techniques.
 </li>
 <li>
 Design and deploy high-performance, low-latency distributed systems that scale globally.
 </li>
 <li>
 Establish guidelines for evaluation, safety, and guardrails for system behaviour.
 </li>
 <li>
 Collaborate with research and product teams to integrate modern capabilities into the Platform.
 </li>
 <li>
 Mentor engineers, drive technical excellence, and foster a culture of continuous learning.
 </li>
 <li>
 Contributions to open-source projects in the agent/LLM ecosystem is desirable.
 
 
 </li>
 </ul>
 What you will need to succeed
 
 
 <ul>
 <li>
 15+ years in design and development of large scale data intensive distributed systems.
 </li>
 <li>
 3+ years as a lead / chief architect.
 </li>
 <li>
 In depth work experience on technologies like Apache Spark, Delta Lake, Snowflake, Kubernetes, etc.
 </li>
 <li>
 In depth work experience on one or more public clouds like Azure, AWS or GCP.
 </li>
 <li>
 Strong background in Relational Stores (PostgreSQL, MySQL).
 </li>
 <li>
 Strong experience in Vector Stores (Pinecone, Weaviate, Milvus).
 </li>
 <li>
 Strong coding skills in Java, Scala, Python.
 </li>
 <li>
 Proficiency in data structures and algorithms.
 </li>
 <li>
 Cost consciousness around computation and memory requirements.
 </li>
 <li>
 Excellent communication and collaboration skills to work with multi-functional R&amp;D teams.
 </li>
 <li>
 BTech/MTech/MS in Computer Science, AI/ML or related fields.
 
 
 </li>
 </ul>
 Why Adobe
 
 
 At Adobe, you&rsquo;ll work in a culture that values creativity, collaboration, and continuous learning. Our
 
 Check-In
 
 approach fosters open feedback, career growth, and shared success.
 
 
 If you&rsquo;re ready to shape the future of AI-powered customer experiences and make a global impact&mdash;
 
 Adobe is the place for you.
 
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Principal Scientist

<div>
 
 Introduction
 
 
 
 IBM CIO Technology Platform Transformation
 
 
 The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing and optimizing IBM's technology infrastructure and platforms. The team aims to power AI-enabled experiences through AI-first technology platforms that enable and streamline existing processes, enhance security, and improve user experience by leveraging cutting-edge technologies such as artificial intelligence, machine learning, and cloud computing.
 
 
 As part of IBM's CIO TPT team, we will contribute to transformative projects that redefine enterprise operations using AI. We will directly influence productivity, user experience, and strategic decision-making across IBM.
 
 
 
 Some Of The Key Responsibilities Of This Group Include
 
 
 
 <ul>
 <li>
 Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
 </li>
 <li>
 Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
 </li>
 <li>
 Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
 </li>
 <li>
 Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
 </li>
 <li>
 Providing guidance and expertise on technology trends, best practices, and standards.
 
 
 </li>
 </ul>
 This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.
 
 
 
 Role Overview
 
 
 
 
 Your role and responsibilities
 
 
 
 As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement AI, Data Science, and Technical Execution:
 </li>
 <li>
 Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
 </li>
 <li>
 Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
 </li>
 <li>
 Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
 </li>
 <li>
 Collect, clean, and preprocess structured and unstructured datasets.
 </li>
 <li>
 Help refine data-driven methodologies for transformation projects.
 </li>
 <li>
 Learn and utilize cloud platforms to ensure the scalability of AI solutions.
 </li>
 <li>
 Leverage reusable assets and apply IBM standards for data science and development.
 </li>
 <li>
 Apply ML Ops and AI ethics.
 </li>
 <li>
 Strategic Planning &amp; Execution
 </li>
 <li>
 Translate business requirements into technical strategies.
 </li>
 <li>
 Ensure alignment to stakeholders&rsquo; strategic direction and tactical needs.
 </li>
 <li>
 Apply business acumen to analyze business problems and develop solutions.
 </li>
 <li>
 Collaborate with stakeholders and team to prioritize work.
 </li>
 <li>
 Project Management and Delivering Business Outcomes:
 </li>
 <li>
 Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
 </li>
 <li>
 Use agile strategies to manage and execute work.
 </li>
 <li>
 Monitor project timelines and help resolve technical challenges.
 </li>
 <li>
 Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
 </li>
 <li>
 Communication and Collaboration:
 </li>
 <li>
 Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
 </li>
 <li>
 Create compelling data visualizations and dashboards.
 </li>
 <li>
 Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required technical and professional expertise
 
 
 
 Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)
 
 
 <ul>
 <li>
 Experience with prompt engineering or fine-tuning LLMs.
 </li>
 <li>
 Familiarity with tools like Lang Chain, Hugging Face Transformers, or OpenAI APIs.
 </li>
 <li>
 Understanding of model evaluation metrics specific to LLMs
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in SQL and Python for performing data analysis and developing machine learning models.
 </li>
 <li>
 Experience and/or coursework in statistics, machine learning, generative and traditional AI.
 </li>
 <li>
 Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
 </li>
 <li>
 Familiarity with cloud-based platforms and data processing frameworks.
 </li>
 <li>
 Understanding of large language models (LLMs).
 </li>
 <li>
 Familiarity with object-oriented programming.
 </li>
 <li>
 Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
 </li>
 <li>
 Knowledge of APIs, Docker, Flask, or model serving technologies
 </li>
 <li>
 Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)
 
 
 </li>
 </ul>
 
 Strategic And Analytical Skills
 
 
 
 <ul>
 <li>
 Strategic thinking and business acumen.
 </li>
 <li>
 Strong problem-solving abilities and eagerness to learn.
 </li>
 <li>
 Ability to work with datasets and derive insights.
 </li>
 <li>
 Attention to detail.
 
 
 </li>
 </ul>
 
 Communications And Soft Skills
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to explain technical concepts clearly.
 </li>
 <li>
 Independent and team oriented.
 </li>
 <li>
 Understands AI Ethics principles.
 </li>
 <li>
 Works openly and inclusively.
 </li>
 <li>
 Adaptable to fast-paced environments.
 </li>
 <li>
 Enthusiasm for learning and applying new technologies.
 </li>
 <li>
 Growth mindset.
 </li>
 <li>
 Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
 </li>
 </ul>
</div>

Data Scientist

Walmart

<div>
 
 
 About the Role
 
 
 
 This is an experienced individual contributor position critical for ensuring the supply chain operates efficiently and meets performance requirements. The role requires you to direct and optimize supply chain execution within complex categories to ensure the retail market maintains optimal inventory at the highest in-stock rates. You will influence Import Fulfillment strategies by identifying current and future trends and aligning department needs with long-term company vision. You will serve as a key expert, analyzing processes and procedures to identify cost reduction and strategic improvement opportunities.
 
 
 
 
 
 
 About the Team
 
 
 
 The Supply Solutions team is accountable for managing inventory, ensuring fulfillment excellence, and overseeing order management from global origins to retail markets. We are dedicated to driving direct import sales growth and unlocking value by ensuring inventory is available while reducing holding, shipping, and production costs. We collaborate with suppliers and internal teams to continuously improve operational efficiency, optimize the supply chain, and meet all sales, in-stock, and inventory goals.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 
 Direct Supply Chain Optimization:
 
 Direct and optimize import fulfillment execution within complex merchandise categories (based on risk, seasonality, etc.) to maintain optimal inventory at the highest in-stock rates.
 </li>
 <li>
 
 KPI Management and Analysis:
 
 Track, review, and maintain accountability for key Supply Chain KPIs. Analyze data to interpret conditions/trends and develop data-driven recommendations to improve results.
 </li>
 <li>
 
 Inventory Financial Planning:
 
 Lead the budgeting and planning of inventory, setting financial targets in collaboration with the retail market to ensure goals are met.
 </li>
 <li>
 
 Fulfillment Planning &amp; Coordination:
 
 Develop, coordinate, and complete detailed fulfillment plans, engaging relevant internal and external parties to implement recommendations and resolve system issues.
 </li>
 <li>
 
 Policy and Compliance Enforcement:
 
 Enforce established strategies, policies, and procedures for all aspects of import fulfillment across origin countries cross-functionally.
 </li>
 <li>
 
 Risk Mitigation and Escalation:
 
 Proactively identify, model, and escalate order exceptions, disruptions, and supply chain constraints (e.g., natural disasters, long holidays) impacting execution.
 </li>
 <li>
 
 Strategic Improvement Initiatives:
 
 Initiate, lead, and actively engage in improvement projects and initiatives, defining business needs, proposing solutions, and coordinating resources across teams to drive business results.
 </li>
 <li>
 
 Stakeholder Engagement:
 
 Interact daily with retail, logistics, sourcing, and key suppliers to successfully operate the line of business at the department or division level.
 </li>
 <li>
 
 Process Development &amp; Validation:
 
 Engage cross-functional teams to develop, validate, and authorize co-managed supplier flow plans and inventory strategies to meet changing business needs.
 </li>
 <li>
 
 S&amp;OP and Supplier Collaboration:
 
 Oversee Sales &amp; Operations Planning (S&amp;OP) processes, collaborating with suppliers on demand/supply planning to improve factory performance and capability. Collaborate with supplier on to drive optimal Raw Material Planning and Capacity Planning to fulfill order requests.
 </li>
 <li>
 
 Training &amp; Communication:
 
 Facilitate effective communication and provide expertise and training materials to internal GS associates, external sourcing agents, and import suppliers on fulfillment processes and best practices.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 Supply Chain Expertise: Demonstrated, up-to-date expertise in supply chain management, proficient in core concepts like forecasting, inventory management, and supply chain theory and tools.
 </li>
 <li>
 Education: Bachelor&rsquo;s degree in Supply Chain, Logistics, Engineering, Business, or a related field, with a Master's degree preferred.
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 Experience: A minimum of 5&ndash;10 years of experience in Supply Chain, Logistics, Business, Trading, or related fields.
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 Advanced Data Analysis: Advanced ability to use MS Excel for complex data analysis, including text, lookup, reference, and logical functions.
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 Analytical Innovation: Advanced ability to identify analysis needs, develop effective approaches, and draw conclusions that show innovation in impacting the business.
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 Artificial Intelligence: Advanced ability to use AI and develop agents to enhance and Analytics and drive overall productivity.
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 Process Improvement Leadership: Proven ability to lead projects and improvement initiatives, identifying and driving enhancements for import fulfillment and contributing specialized knowledge to tool development.
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 Strategic Problem Solving: Able to articulate business needs, define requirements, and design pilot programs, strategically directing focus to issues with the greatest business payback.
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 Stakeholder Engagement: Proven ability to build relationships and partnerships with key stakeholders (retail market, suppliers, logistics, merchants) and adapt to competing demands with solid business solutions.
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 Language Proficiency: Good command of both English and local language is required.
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 Technical Proficiency: Proficient in standard PC skills, including MS Word, Excel, PowerPoint, and Outlook.
 </li>
 </ul>
 
 
 
 
 This job description is intended to provide a general overview of the responsibilities and qualifications for this position. It is not an exhaustive list of all duties and is subject to change based on business needs.
 
 
 
 
 
 
 Equal Opportunity Employer
 
 
 
 Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
 
 
 
 
 
 Walmart doesn&rsquo;t charge any recruitment or similar fee in the recruitment process, including but not limited to interview, offering, and onboarding.
 
</div>

Manager, Supply Solutions

Infosys

<div>
 Required Skills &amp; Experience
 
 
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 4+ years of relevant in advanced analytics and model development.
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 4+ years of hands-on experience in Python and other open-source analytical tools.
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 Strong expertise in data analytics, data handling, and statistical programming using modern IT tools.
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 Understanding of Data Warehousing, Business Intelligence, and AI-based solutions.
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 Proven experience in Agile methodologies, including iterative development and sprint planning.
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 Experience working in highly regulated environments, ensuring data governance and compliance.
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 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
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 Exposure to cloud platforms (AWS, Azure, GCP).
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 Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA). ________________________________________ Key Responsibilities
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 Work on end-to-end data science engagements from problem definition to solution development.
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 Design and implement advanced analytical models and process frameworks.
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 Collaborate with different stakeholders, providing domain and technical thought.
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 Perform Fit/Gap analysis and translate business needs into actionable data solutions.
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 Ensure compliance with release governance and manage incidents using industry-standard tools.
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 <li>
 Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs). ________________________________________
 </li>
 </ul>
</div>

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