1487 Data Scientist Jobs - Page 29

Job Title: Data Scientist – AI & Algorithms Location: On-site – New Delhi Company: WaysAhead Technology Pvt. Ltd. Vertical: Data Engineering & AI Innovation Experience: 2–6 years Open position: 1 Job Description: We are looking for an experienced Data Scientist with a strong foundation in algorithms, large language models (LLMs), and computer vision. The ideal candidate will be proficient in Python and capable of building scalable, production-grade AI solutions from development to deployment. You will be working at the intersection of retail intelligence and cutting-edge AI, contributing to the design of smart systems and APIs for real-time business impact. Key Responsibilities: Design and implement machine learning models for classification, recommendation, NLP, or vision-based tasks. Develop and fine-tune LLMs or implement RAG-based systems. Write clean, modular Python code for algorithmic models and data workflows. Develop REST APIs for model access and integrate them into existing platforms. Deploy models to production environments using Docker, FastAPI, or Flask. Collaborate with product and business teams to understand use cases and deliver AI-driven features. Skill Set: Must have skills: Python (Advanced) Machine Learning (Sklearn) Algorithm Development LLMs / NLP / Transformers REST API Development Model Deployment (Docker etc.) FastAPI / Flask HuggingFace / OpenAI APIs MsSQL RAG / Fine-tuning pipelines Good to have skills: PostgreSQL Git / CI-CD basics Prompt Engineering / Embedding use LangChain, Unsloth, Vector DBs (FAISS) Streamlit / Gradio UI wrappers Nice to have skills: Azure / AWS ML deployment pipelines ONNX / Model Optimization Computer Vision (OpenCV, YOLO, etc.) PyTorch / TensorFlow (Intermediate) Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹400,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Expected Start Date: 10/06/2025

JOB DESCRIPTION: Role: Data Scientist / Deep Learning Engineer Location: Senapati Bapat Road, Pune Experience : 5-10 Years General Summary of the Role: Develop and optimize computer vision models for o bject detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs ). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications: Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and on-prem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Application Question(s): what is your notice period? What's your current CTC? Experience: Deep learning/Data scientist: 5 years (Required) PyTorch, Python: 5 years (Required) TensorFlow: 5 years (Required) cloud platforms AWS, GCP, Azure: 5 years (Required) Vision Transformers (ViTs) and Generative AI: 5 years (Required) video processing & computer vision: 5 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business. The role will be based in Bengaluru, India Essential Functions Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems Communicate with clients to understand the challenges they face and convince them with data Extract and understand data to form an opinion on how to best help our clients and derive relevant insights Develop visualizations to make your complex analyses accessible to a broad audience Find opportunities to craft products out of analyses that are suitable for multiple clients Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications Bachelor’s or Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field 5+ years of work experience with a bachelor’s degree or 2+ years’ experience with an advance degree (e.g., Master’s or MBA) Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark Developing and refining machine learning models for predictive analytics, classification and regression tasks. Preferred Qualifications 5+ years’ experience in data-based decision-making or quantitative analysis Knowledge of ETL pipelines in Spark, Python, HIVE that process transaction and account level data and standardize data fields across various data sources Generating and visualizing data-based insights in software such as Tableau Competence in Excel, PowerPoint Previous exposure to financial services, credit cards or merchant analytics is a plus Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

A - 1 JOB CONTENT To aid business in their decision making using qualitative, quantitative analysis & automation. Required to perform optimization or statistical methods & interpret findings for taking business decisions. Take up Automation & AI projects for the organisation to improve productivity and expedite decisions. Drive the Digital transformation initiatives and work on Plant IT/OT analytics A - 2 KEY RESPONSIBILITIES 1. Work closely with businesses and executives to propose, develop, implement, test, and evaluate digital and data-based solutions 2. Develop predictive algorithms that analyze data and recommend data-driven solutions 3. Drive data-driven decision-making by gathering, analyzing, and disseminating business insights 4. Develop research and analytical methods for forecasting, modelling, and optimizing operations 5. Conduct data mining, predictive analytics, and ad hoc analysis using R, Python, SQL, Qlik, and other business intelligence software 6. Provide ongoing mentorship and coaching to data science team & maintain the company's data science capabilities by regulary having sessions with the business on possibilities 7. Be conversant with AI technologies for use internally -- for example, conversational AI systems, AI-driven robots, other autonomous machines 8. Ability to manage a team of Data Scientisit, Data Engineers and Developers 9. Adept in machine learning, staistical analysis, approaches for solving business problems such as classification, clustering, regression, statistical inference, anomaly detection, collaborative filtering, natural language processing, experimental design and social networking analysis 10. Work on disruptive technologies such AI, IOT, blockchain, VR/AR etc and harness its potential for enabling businesses to meet their objectives either on cost or revenue side A - 3 QUALIFICATIONS ESSENTIAL BE & Post Graduation in Data Science/Analytics or MS in Statistics/Computer Engineering/Data Science A - 4 EXPERIENCE : ESSENTIAL Experience in using statistical/ data science computer languages (Python & R) & basic SQL - very good programmable skills Knowledge of ML techniques, Deep learning & AI/ Gen AI alogrithims (CART, ANN, NLP, GNN etc) Knowledge of advanced statistical techniques & its application Having worked on various Data Science tool -MS Azure or Amazon Sage maker Exposure to AI, Automation & IOT/Plant IT/OT will be an added advantage Experience: 10+ years in Data Scientists or Analytics function Qualification: MS/ Msc Statistics Job Types: Full-time, Permanent Pay: Up to ₹3,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

The Lead Data Scientist will deliver on activities related to the strategy, design, development, implementation of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) for enterprise application functions. Frequently interacting with key stakeholders, the Data Scientist will lead and create advanced analytics models from conceptualization to completion. This position will support different products or lines of businesses to build innovations around AI. Responsibilities: Collaborate with business functions/stakeholders on discovery for data science idea generation, provide ideas and influence as well as drive changes End-to-end ownership of work from ideation to production. Develop, manage and maintain Machine Learning and Deep Learning infrastructure from pipelines and modelling to machine learning products and decision support. Work with the business to understand the problem space, identify the opportunities, and translate our problems into analytical solutions Work with other Data Teams and Data Engineers to build upon our data collection, storage, and processing infrastructure Develop, distribute, support - standards, best practices, innovative and automation modeling techniques, and procedures Manage activities that take place during solution ideation, solution design, solution implementation, optimization, and operation Coordinate enhancements and maintenance of information systems to ensure highly reliable and cost-effective operation Qualifications: 5+ years of Digital/Data/Analytics/Statistics experience, including 3+ years in Applied AI/ML and Data Science Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations Hands on experience in building Machine Learning-enabled products or working with large complex data sets Hands on working knowledge in ML techniques including classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive models appropriate for solving different problems Hands on experience with distributed data/computing and orchestration tools: Azure Databricks, Spark, MySQL etc. Hands on expertise with statistical techniques and their applications in business. Hands on coding experience with several languages: Python, JavaScript, Java, R etc. Experience with design and development of Generative AI models using state-of-the-art techniques Strategic planning experience that adapts to communication between technical and business stakeholders Strong verbal and written communication skills, interpersonal skills, and organizational skills Strong presentation skills with both technical and non-technical audiences Strong team leadership and/or project management experience with multiple simultaneous initiatives Skilled in the management of complex systems and decision-making under uncertainty Excellent time management skills and strong attention to detail, with experience in adhering to best practices of managing the life cycle of data-intensive ML projects At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Company’s greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive. Learn more about Working at Wesco here and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500® company. Wesco International, Inc., including its subsidiaries and affiliates (“Wesco”) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Job Description Enthusiastic and self-motivated, with ability to execute Supply Chain Analytics projects proactively Meticulous attention to detail, with an overall passion for continuous improvement Innovative and creative, with a logical and methodical approach to problem solving Credible and articulate, with excellent communication, presentation, and interpersonal skills Responsibilities Execute high impact business projects with time bound and effective project management leveraging tools like Rally, Jira Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions Use statistical methodologies leveraging analytical tools to support different business initiatives Continual enhancement of statistical techniques and their applications in solving business objectives Compile and analyze the results from modeling output and translate into actionable insights through dashboards Acquire and share deep knowledge of data utilized by the team and its business partners Participate in global conference calls and meetings as needed and manage multiple customer interfaces Execute analytics special studies and ad hoc analyses in a quick turn around time Evaluate new tools and technologies to improve analytical processes Efforts will focus on the following key areas: Domain – Supply Chain Analytics Hands on with Machine Learning Good understanding of various classical Statistical techniques such as Regression, Multivariate Analysis Data & Text Mining, NLP, Gen AI, Large Language Models, Time Series based forecasting modeling Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2) Experience using tools in BI, ETL, Reporting /Visualization/Dashboards - Qliksense/Power BI etc. Programming experience in languages like Python Exposure to Bigdata based analytical solutions Good Soft Skills - able to communicate clearly with stakeholders Good Analysis and problem-solving skills. Ability to get Insights from Data, provide visualization, and storytelling. Flexibility to explore and work with newer technologies and tools. Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios. Excellent collaborative communication and Team skills Qualifications Bachelors/Masters Candidates should have significant hands-on experience with analytics projects or related quantitative techniques across various functions Candidates will be expected to successfully prioritize and manage multiple analytical projects Good technical depth with strong analytical/programing skills and ability to apply technical knowledge Experience in Python, SQL, GCP or any other Cloud Platforms highly desired Show more Show less

Job Description AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager/Senior Manager - Analytics 1. Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets 2. KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B. Tech /BE/ Masters in CS/IS/AI/ML Previous work experience required Minimum 3 years of relevant experience Technical skills required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows MLOPS concepts and containerization tools like Docker Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization. Good To Have Preferred industry exposure in Manufacturing Domain Product building experience Other Skills required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers Show more Show less

Role & responsibilities Design ML design and Ops stack considering the various trade-offs. Statistical Analysis and fundamentals MLOPS frameworks design and implementation Model Evaluation best practices -Train and retrain systems when necessary. Extend existing ML libraries and frameworks -Keep abreast of developments in the field. Act as a SME and tech lead / veteran for any data engineering question and manage data scientists and influence DS development across the company. Promote services, contribute to the identification of innovative initiatives within the Group, share information on new technologies in dedicated internal communities. Ensure compliance with policies related to Data Management and Data Protection Preferred candidate profile Strong experience (2+ years) with Building statistical models, applying machine learning techniques Experience (2+ years) on Big Data technologies such as Hadoop, Spark, Airflow/Databricks Proven experience (2+ years) in solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Proven experience (2+ years) on innovation implementation from exploration to production: these may include containerization (i.e. Docker/Kubernetes) , Big data (Hadoop, Spark) and MLOps platforms. Deep understanding of E2E software development in a team, and a track record of shipping software on time Ensure high-quality data and understand how data, which is generated out experimental design can produce actionable, trustworthy conclusions. Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics database (e.g. Snowflake , Databricks or Redshift) administration

Role: Data Science Developer Location : Remote Responsibilities : Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models. Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery. Automate cloud infrastructure using Terraform. Write unit tests, integration tests and performance tests Work in a team environment using agile practices Support administration of Data Science experimentation environment including AWS Sagemaker and Nvidia GPU servers Monitor and optimize application performance and infrastructure costs. Collaborate with data scientists and other developers to integrate and deploy data science models into production environments Educate others to improve and coding standards, code quality and test coverage, documentation Work closely with cross-functional teams to ensure seamless integration and operation of services. What We’re Looking For : Basic Required Qualifications : 5-8 years of experience in software engineering Proficiency in Python and JavaScript for full-stack development . Experience in writing and maintaining high quality code – utilizing techniques like unit testing and code reviews Strong understanding of object-oriented design and programming concepts Strong experience with AWS cloud services, including EKS, Lambda, and S3 . Knowledge of Docker containers and orchestration tools including Kubernetes Experience with monitoring, logging, and tracing tools (e.g., Datadog, Kibana, Grafana ). Knowledge of message queues and event-driven architectures (e.g., AWS SQS, Kafka). Experience with CI/CD pipelines in Azure DevOps and GitHub Actions . Additional Preferred Qualifications : Experience writing front-end web applications using Javascript and React Familiarity with infrastructure as code (IaC) using Terraform. Experience in Azure or GPC cloud services Proficiency in C# or Java Experience with SQL and NoSQL databases Knowledge of Machine Learning concepts Experience with Large Language Models Show more Show less

Responsibilities: * Collaborate with cross-functional teams on project delivery. * Develop machine learning models using Python & NLP techniques. * Optimize database performance through SQL queries. Provident fund

Job Title: Lead Data Scientist Location: Bangalore Urban, India (Hybrid) Key Responsibilities: Lead AI/ML initiatives across multiple projects. Collaborate with other data scientists and cross-functional teams. Translate business and technical requirements into actionable data science solutions. Propose and implement optimized machine learning models and data-driven strategies. Ensure quality and scalability of AI/ML solutions. Required Qualifications: Strong background in machine learning, deep learning, and data science. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large-scale data processing and model deployment. Excellent problem-solving and communication skills. Prior experience in leading data science teams or projects. Preferred Skills: Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps practices and tools. Knowledge of computer vision or NLP is a plus.

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Data Science Machine Learning Deep Learning Python NLP statistical exp Roles and responsibilities Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

We are seeking a talented and motivated Data Scientist with 1-3 years of experience to join our Data Science team. If you have a strong passion for data science, expertise in machine learning, and experience working with large-scale datasets, we want to hear from you. As a Data Scientist at RevX, you will play a crucial role in developing and implementing machine learning models to drive business impact. You will work closely with teams across data science, engineering, product, and campaign management to build predictive models, optimize algorithms, and deliver actionable insights. Your work will directly influence business strategy, product development, and campaign optimization. Major Responsibilities: Develop and implement machine learning models, particularly neural networks, decision trees, random forests, and XGBoost, to solve complex business problems. Work on deep learning models and other advanced techniques to enhance predictive accuracy and model performance. Analyze and interpret large, complex datasets using Python, SQL, and big data technologies to derive meaningful insights. Collaborate with cross-functional teams to design, build, and deploy end-to-end data science solutions, including data pipelines and model deployment frameworks. Utilize advanced statistical techniques and machine learning methodologies to optimize business strategies and outcomes. Evaluate and improve model performance, calibration, and deployment strategies for real-time applications. Perform clustering, segmentation, and other unsupervised learning techniques to discover patterns in large datasets. Conduct A/B testing and other experimental designs to validate model performance and business strategies. Create and maintain data visualizations and dashboards using tools such as matplotlib, seaborn, Grafana, and Looker to communicate findings. Provide technical expertise in handling big data, data warehousing, and cloud-based platforms like Google Cloud Platform (GCP). Required Experience/Skills: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 1-3 years of experience in data science or machine learning roles. Strong proficiency in Python for machine learning, data analysis, and deep learning applications. Experience in developing, deploying, and monitoring machine learning models, particularly neural networks, and other advanced algorithms. Expertise in handling big data technologies, with experience in tools such as BigQuery and cloud platforms (GCP preferred). Advanced SQL skills for data querying and manipulation from large datasets. Experience in data visualization tools like matplotlib, seaborn, Grafana, and Looker. Strong understanding of A/B testing, statistical tests, experimental design, and methodologies. Experience in clustering, segmentation, and other unsupervised learning techniques. Strong problem-solving skills and the ability to work with complex datasets and machine learning pipelines. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with data warehousing concepts and big data tools. Knowledge of MLOps practices, including model deployment, monitoring, and management. Experience with business intelligence tools and creating data-driven dashboards. Understanding of reinforcement learning, natural language processing (NLP), or other advanced AI techniques. Education: Bachelor of Engineering or similar degree from any reputed University.

Research and Problem-Solving: Identify and frame business problems, conduct exploratory data analysis, and propose innovative data science solutions tailored to business needs. Leadership & Communication: Serve as a technical referent for the research team, driving high-impact, high-visibility initiatives. Effectively communicate complex scientific concepts to senior stakeholders, ensuring insights are actionable for both technical and non-technical audiences. Mentor and develop scientists within the team, fostering growth and technical excellence. Algorithm Development: Design, optimize, and implement advanced machine learning algorithms, including neural networks, ensemble models (XGBoost, random forests), and clustering techniques. End-to-End Project Ownership: Lead the development, deployment, and monitoring of machine learning models and data pipelines for large-scale applications. Model Optimization and Scalability: Focus on optimizing algorithms for performance and scalability, ensuring robust, well-calibrated models suitable for real-time environments. A/B Testing and Validation: Design and execute experiments, including A/B testing, to validate model effectiveness and business impat. Big Data Handling: Leverage tools like BigQuery, advanced SQL, and cloud platforms (e.g., GCP) to process and analyze large datasets. Collaboration and Mentorship: Work closely with engineering, product, and campaign management teams, while mentoring junior data scientists in best practices and advanced techniques. Data Visualization: Create impactful visualizations using tools like matplotlib, seaborn, Looker, and Grafana to communicate insights effectively to stakeholders. Required Experience/Skills 5–8 years of hands-on experience in data science or machine learning roles. 2+ years leading data science projects in AdTech Strong hands-on skills in Advanced Statistics, Machine Learning, and Deep Learning. Demonstrated ability to implement and optimize neural networks and other advanced ML models. Proficiency in Python for developing machine learning models, with a strong grasp of TensorFlow or PyTorch. Expertise handling large datasets using advanced SQL and big data tools like BigQuery In-depth knowledge of MLOps pipelines, from data preprocessing to deployment and monitoring. Strong background in A/B testing, statistical analysis, and experimental design. Proven capability in clustering, segmentation, and unsupervised learning methods. Strong problem-solving and analytical skills with a focus on delivering business value. Education: A Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related field is preferred. A Bachelor's degree with exceptional experience will also be considered.

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities: Collaborate with business stakeholders to understand and translate their goals into data science initiatives. Lead the development and implementation of machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently. Develop strategies to optimize budget allocation in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to discover complex data sets' patterns, trends, and insights. Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in data science, machine learning, and relevant technologies. Develop and train ML/DL models for forecasting/classification Build AI agents RAG-based systems Leverage data-driven insights and predictive modeling to build PoCs. Leverage LangChain, LangGraph, or similar for orchestration Use SQL for data analysis, feature engineering, and reporting Required Skills: Qualification in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics. Excellent problem-solving skills. Strong coding skills. 2+ years of relevant work experience in data science and machine learning. Solid background in statistical analysis, hypothesis testing, and experimental design. Proficiency in Python and SQL Preferred GCP Platform Exposure to RAG, LLMs, and agentic workflows - Finetuning Evaluation Familiar with LangChain, LangGraph, or similar toolkits Plus points if you have experience with Apple Ads (formerly ASA) or have worked in the AdTech space. Effective communication skills with the ability to convey technical concepts to non-technical audiences

3+ years of experience in data science roles, working with tabular data in large-scale projects. Experience in feature engineering and working with methods such as XGBoost, LightGBM, factorization machines , and similar algorithms. Experience in adtech or fintech industries is a plus. Familiarity with clickstream data, predictive modeling for user engagement, or bidding optimization is highly advantageous. MS or PhD in mathematics, computer science, physics, statistics, electrical engineering, or a related field. Proficiency in Python (3.9+), with experience in scientific computing and machine learning tools (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, etc.). Familiarity with deep learning frameworks (such as TensorFlow or PyTorch) is a plus. Strong expertise in applied statistical methods, A/B testing frameworks, advanced experiment design, and interpreting complex experimental results. Experience querying and processing data using SQL and working with distributed data storage solutions (e.g., AWS Redshift, Snowflake, BigQuery, Athena, Presto, MinIO, etc.). Experience in budget allocation optimization, lookalike modeling, LTV prediction, or churn analysis is a plus. Ability to manage multiple projects, prioritize tasks effectively, and maintain a structured approach to complex problem-solving. Excellent communication and collaboration skills to work effectively with both technical and business teams.

A - 1 JOB CONTENT To aid business in their decision making using qualitative, quantitative analysis & automation. Required to perform optimization or statistical methods & interpret findings for taking business decisions. Take up Automation & AI projects for the organisation to improve productivity and expedite decisions. Drive the Digital transformation initiatives and work on Plant IT/OT analytics A - 2 KEY RESPONSIBILITIES 1. Work closely with businesses and executives to propose, develop, implement, test, and evaluate digital and data-based solutions 2. Develop predictive algorithms that analyze data and recommend data-driven solutions 3. Drive data-driven decision-making by gathering, analyzing, and disseminating business insights 4. Develop research and analytical methods for forecasting, modelling, and optimizing operations 5. Conduct data mining, predictive analytics, and ad hoc analysis using R, Python, SQL, Qlik, and other business intelligence software 6. Provide ongoing mentorship and coaching to data science team & maintain the company's data science capabilities by regulary having sessions with the business on possibilities 7. Be conversant with AI technologies for use internally -- for example, conversational AI systems, AI-driven robots, other autonomous machines 8. Ability to manage a team of Data Scientisit, Data Engineers and Developers 9. Adept in machine learning, staistical analysis, approaches for solving business problems such as classification, clustering, regression, statistical inference, anomaly detection, collaborative filtering, natural language processing, experimental design and social networking analysis 10. Work on disruptive technologies such AI, IOT, blockchain, VR/AR etc and harness its potential for enabling businesses to meet their objectives either on cost or revenue side A - 3 QUALIFICATIONS ESSENTIAL BE & Post Graduation in Data Science/Analytics or MS in Statistics/Computer Engineering/Data Science A - 4 EXPERIENCE : ESSENTIAL Experience in using statistical/ data science computer languages (Python & R) & basic SQL - very good programmable skills Knowledge of ML techniques, Deep learning & AI/ Gen AI alogrithims (CART, ANN, NLP, GNN etc) Knowledge of advanced statistical techniques & its application Having worked on various Data Science tool -MS Azure or Amazon Sage maker Exposure to AI, Automation & IOT/Plant IT/OT will be an added advantage Experience: 10+ years in Data Scientists or Analytics function Qualification: MS/ Msc Statistics Job Types: Full-time, Permanent Pay: Up to ₹3,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Role Overview: We seek a visionary Product Lead to drive our data sciences and AI/ML product portfolio. This role combines deep technical expertise with strategic product leadership to deliver exceptional client value while maintaining innovation leadership in the Business Intelligence market. You'll define product strategy, lead cross-functional teams, and scale technical products from conception to market success. Key Responsibilities: Strategic Product Leadership: Define comprehensive product strategy for AI/ML -powered solutions Establish roadmaps aligned with market opportunities and client needs Drive product vision and competitive positioning in BI and data analytics Lead cross-functional collaboration across Engineering, Data Science, and Go-to-Market teams Technical Product Management: Oversee ML -driven intelligence product development for complex business problems Integrate advanced AI/ML capabilities including LLMs, NLP, and agent frameworks Champion best practices in data management, algorithm development, and model deployment Drive innovation in vector databases, embedding-based retrieval, and advanced analytics Market & Client Focus: Conduct market research and competitive analysis to identify opportunities Translate technical capabilities into compelling value propositions Lead client advisory sessions and refine product-market fit Ensure measurable business impact and ROI across diverse industries Team Leadership: Build and mentor high-performing product and technical teams Foster culture of innovation, technical excellence, and client-centricity Establish frameworks for skill development and knowledge sharing Drive adoption of emerging technologies and methodologies Business Impact: Support P&L responsibility for data sciences product portfolio Define and track key metrics: adoption, retention, revenue impact Lead product launches and market entry strategies Collaborate with Sales and Marketing for successful go-to-market execution Required Qualifications: Technical Expertise: Advanced degree in Data Science, Computer Science, Statistics, or related field 8-12 years’ experience in data sciences, ML, and technical product management Deep expertise in statistical analysis, ML algorithms, and practical applications Proficiency in Python/R, SQL, ML frameworks and libraries Strong understanding of NLP, LLMs, agent frameworks, and modern AI/ML architectures Experience with big data technologies, cloud platforms, and scalable data processing Product Leadership: 5+ years senior product management experience, 3+ years in leadership roles Proven track record launching and scaling technical B2B products Experience in Business Intelligence, analytics, or data sciences industry Strong background in product strategy, roadmaps, and cross-functional leadership Business & Leadership: Understanding of BI, data analytics, and enterprise software markets Experience with product monetization and revenue optimization Proven ability to work with C-level executives and drive strategic decisions Exceptional communication skills and ability to articulate complex technical concepts Experience in fast-paced, high-growth technology environments Preferred Qualifications: Experience with vector databases, MLOps, and production ML systems Startup or scale-up technology company background Enterprise software sales and customer success experience Track record of successful product exits or organizational scaling Knowledge of data governance, privacy, and compliance requirements What We Offer: Lead product strategy for cutting-edge AI/ML solutions Competitive compensation package including equity options Innovation-driven environment with top-tier technical talent Direct impact on company strategy and growth Access to latest technologies and Opportunity to be a part of core pioneering team About Icogz Technologies: We're at the forefront of AI-driven business intelligence, helping organizations transform data into actionable insights through advanced ML capabilities and intuitive user experiences. Job Types: Full-time, Permanent Application Question(s): How many months of experience do you have in LLM's & Agentic work flows? How many months of experience do you have in Machine Learning? How many months of experience do you have in Deep Learning? How many months of experience do you have in Natural Learning Processing? Work Location: In person

JOB DESCRIPTION: Role: Data Scientist / Deep Learning Engineer Location: Senapati Bapat Road, Pune Experience : 5-10 Years General Summary of the Role: Develop and optimize computer vision models for o bject detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs ). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications: Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and on-prem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Application Question(s): what is your notice period? What's your current CTC? Experience: Deep learning/Data scientist: 5 years (Required) PyTorch, Python: 5 years (Required) TensorFlow: 5 years (Required) cloud platforms AWS, GCP, Azure: 5 years (Required) Vision Transformers (ViTs) and Generative AI: 5 years (Required) video processing & computer vision: 5 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business. The role will be based in Bengaluru, India Essential Functions Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems Communicate with clients to understand the challenges they face and convince them with data Extract and understand data to form an opinion on how to best help our clients and derive relevant insights Develop visualizations to make your complex analyses accessible to a broad audience Find opportunities to craft products out of analyses that are suitable for multiple clients Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor’s or Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field • 5+ years of work experience with a bachelor’s degree or 2+ years’ experience with an advance degree (e.g., Master’s or MBA) • Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark • Developing and refining machine learning models for predictive analytics, classification and regression tasks. Preferred Qualifications • 5+ years’ experience in data-based decision-making or quantitative analysis • Knowledge of ETL pipelines in Spark, Python, HIVE that process transaction and account level data and standardize data fields across various data sources • Generating and visualizing data-based insights in software such as Tableau • Competence in Excel, PowerPoint • Previous exposure to financial services, credit cards or merchant analytics is a plus Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Show more Show less

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business. The role will be based in Bengaluru, India Essential Functions Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems Communicate with clients to understand the challenges they face and convince them with data Extract and understand data to form an opinion on how to best help our clients and derive relevant insights Develop visualizations to make your complex analyses accessible to a broad audience Find opportunities to craft products out of analyses that are suitable for multiple clients Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications Bachelor’s or Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field 5+ years of work experience with a bachelor’s degree or 2+ years’ experience with an advance degree (e.g., Master’s or MBA) Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark Developing and refining machine learning models for predictive analytics, classification and regression tasks. Preferred Qualifications 5+ years’ experience in data-based decision-making or quantitative analysis Knowledge of ETL pipelines in Spark, Python, HIVE that process transaction and account level data and standardize data fields across various data sources Generating and visualizing data-based insights in software such as Tableau Competence in Excel, PowerPoint Previous exposure to financial services, credit cards or merchant analytics is a plus Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

BULK HIRE – CORE PYTHON AND DATA SCIENCE ENGINEERS – HYDERABAD – HYBRID MODEL WELL KNOWN IT CLIENT– FOR THEIR USA PRODUCT DEV CLIENT LOCATION : Financial District, Nanakramguda ONLY HYD CANDIDATES 2 DAYS @ OFFICE, REST OF DAYS WFH PRIYA@AXYCUBE.IN Required Candidate profile PYTHON DEVELOPERS – MAX 16 LPA- 4+ YEARS EXPERIENCE – VERY GOOD IN NUMPY, PANDAS, NUMPY AND SQL DATA SCIENCE ENGINEERS – MAX 27 LPA– 4+ YEARS STRONG EXPERIENCE IN AI, ML, DL, PYTHON, PANDAS AND NUMPY

Job Role: Data Scientist Job Description:  Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.  Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.  Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.  Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.  Ability to analyze and preprocess large datasets efficiently.  Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.  Excellent communication skills to articulate complex technical concepts effectively.  Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.  Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.  Extensive knowledge of image processing techniques, including segmentation and feature extraction.  Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.  Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.  Ability to process and analyze video data to derive meaningful insights and patterns.  Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.  Excellent understanding of computer vision principles and techniques.  Effective communication skills to collaborate with cross-functional teams and stakeholders.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient deep learning solutions for realworld applications would be advantageous. Job Type: Full-time Pay: From ₹180,000.00 per year Benefits: Provident Fund Schedule: Fixed shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Role Description: We are seeking a Competency Leader to lead the design, development, and deployment of advanced AI and Generative AI (GenAI) solutions that deliver significant business value to our pharma clients. The ideal candidate will have extensive hands-on experience with AI/ML frameworks, cloud platforms, and MLOps, coupled with a deep understanding of GenAI technologies. LOCATION: Bangalore, Hyderabad, Mumbai, Pune, Noida Key Responsibilities: Design, develop, and optimize AI/ML models for practical applications, ensuring high performance, scalability, and reliability. Innovate using advanced GenAI technologies (e.g., LLMs, RAG, OpenAI APIs) to address complex business challenges. Implement and manage end-to-end MLOps pipelines, including CI/CD, model monitoring, retraining workflows, and versioning. Architect and deploy scalable, cost-effective AI/ML solutions on cloud platforms (AWS, Azure) Collaborate with cross-functional stakeholders to align AI solutions with business objectives Mentor and guide junior engineers, fostering innovation and adherence to best practices in AI/ML development and deployment Develop and train Generative AI models Perform data analysis and prepare data for AI model training Integrate AI models with Snowflake, AWS and other systems Required knowledge : 13+ years of experience in AI/ML development and deployment, including leadership roles Good knowledge in machine learning and Generative AI, especially content generation using AWS Bedrock and OpenAI based models Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit and vector databases. Good experience in building scalable (Gen) AI applications on AWS. Strong background and understanding of vector databases. Good knowledge in Python for data science, as well as streamlit for rapid deployment of prototypes. Experience to work in an agile Experience in the setup and usage of CI/CD pipelines as well as writing software in a test-driven fashion. Experience in building (Gen) AI solutions on Snowflake is a plus. Experience with Agentic AI build Key Skill: Python, AI/ML Expertise, Deep Learning, NLP, MLOps, Cloud Platforms (AWS, Azure), GenAI (LLM, RAG, OpenAI), LangChain, Streamlit, API Architecture, Leadership, Business-Aligned Problem Solving, Prompt Engineering, Knowledge of Vector Databases. Show more Show less