1621 Matplotlib Jobs - Page 50

About Us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You Will Work With The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis What You’ll Do Lead AI Initiatives: Architect and implement AI-driven solutions for Consumer Products consulting and client delivery AI & Machine Learning: Develop and deploy Generative AI-based solutions, leveraging cloud computing platforms (AWS/ Azure/GCP) Technical Leadership: Guide the team in AI, machine learning, and data engineering, ensuring optimal architecture and deployment Software Development & Data Engineering: Hands-on experience with Python programming, microservices architecture, and cloud technologies (AWS) Database: Proven experience with database systems such as SQL Server, PostgreSQL, good to have knowledge of Snowflake, Oracle Frontend and Backend Technologies: Exposure to HTML, CSS, Javascript, ReactJS and FastAPI, Django Python Libraries: Exposure to data analysis and visualization libraries like Matplotlib, Plotly, Pandas, Numpy etc. Prompt Engineering & Generative AI: Strong understanding of LLMs, NLP, Chains, Agents and AI model fine-tuning Client Engagement: Work in client-facing roles, understand business needs, and translate them into AI-driven solutions Strategic AI Roadmap: Identify technical limitations, propose alternative approaches, and ensure the scalability of AI applications About You 8+ years of experience in Data Engineering, Software Engineering, and AI/ML Experience in CPG consulting and client delivery Expertise in Python, Generative AI, and cloud computing (AWS/Azure/GCP) Hands-on experience with microservices architecture and chatbot development Adept at Prompt Engineering and AI model optimization Proven track record of leading AI-driven projects with a strategic and solution-oriented mindset Experience in client-facing roles, managing interactions and delivering AI- AI-powered business solutions Prior experience in AI-driven consulting for the Consumer Products industry. Exposure to LLM-based applications Ability to bridge the gap between business and technology, translating client needs into actionable AI solutions What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. 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: Proof of Concept (POC) DevelopmentDevelop 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. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument 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. Industry Trends and InnovationStay 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. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: 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. 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. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven 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.

About us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis What you’ll do Lead AI Initiatives : Architect and implement AI-driven solutions for Consumer Products consulting and client delivery AI & Machine Learning : Develop and deploy Generative AI-based solutions , leveraging cloud computing platforms (AWS/ Azure/GCP) Technical Leadership : Guide the team in AI, machine learning, and data engineering , ensuring optimal architecture and deployment Software Development & Data Engineering : Hands-on experience with Python programming, microservices architecture, and cloud technologies (AWS) Database: Proven experience with database systems such as SQL Server, PostgreSQL, good to have knowledge of Snowflake, Oracle Frontend and Backend Technologies : Exposure to HTML, CSS, Javascript, ReactJS and FastAPI, Django Python Libraries: Exposure to data analysis and visualization libraries like Matplotlib, Plotly, Pandas, Numpy etc. Prompt Engineering & Generative AI : Strong understanding of LLMs, NLP, Chains, Agents and AI model fine-tuning Client Engagement : Work in client-facing roles, understand business needs, and translate them into AI-driven solutions Strategic AI Roadmap : Identify technical limitations , propose alternative approaches, and ensure the scalability of AI applications About you 8+ years of experience in Data Engineering, Software Engineering, and AI/ML Experience in CPG consulting and client delivery Expertise in Python, Generative AI, and cloud computing (AWS/Azure/GCP) Hands-on experience with microservices architecture and chatbot development Adept at Prompt Engineering and AI model optimization Proven track record of leading AI-driven projects with a strategic and solution-oriented mindset Experience in client-facing roles , managing interactions and delivering AI- AI-powered business solutions Prior experience in AI-driven consulting for the Consumer Products industry . Exposure to LLM-based applications Ability to bridge the gap between business and technology , translating client needs into actionable AI solutions What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents..

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – AI and DATA – Statistical Modeler-Senior At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of our EY- GDS AI and Data team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. Technical Skills: Statistical Programming Languages: Python, R Libraries & Frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret Data Manipulation Tools: SQL, Excel Data Visualization Tools: Matplotlib, Seaborn, ggplot2, Machine Learning Techniques: Supervised and unsupervised learning, model evaluation (cross-validation, ROC curves) 5-7 years of experience in building statistical forecast models for pharma industry Deep understanding of patient flows,treatment journey across both Onc and Non Onc Tas. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description (Shaded areas for Talent use only) We are seeking a passionate data analyst to transform data into actionable insights and support decision-making in a global organization focused on pricing and commercial strategy. This role spans business analysis, requirements gathering, data modeling, solution design, and visualization using modern tools. The analyst will also maintain and improve existing analytics solutions, interpret complex datasets, and communicate findings clearly to both technical and non-technical audiences. Essential Functions of the Job: (Identify and describe essential functions, or primary duties and responsibilities. Each function should describe WHAT is done and the END RESULT/PURPOSE achieved. Assume that the reader does not know the role or function of the job.) Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports. Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python. Collaborate with stakeholders to define requirments, prioritize business needs, and translate problems into analytical solutions. Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making. Identify opportunities for process improvement and opperational efficiency through data-driven recommendations. Communicate complex findings in a clear, compelling, and actionable manner to both technical and non-technical audiences. Analytical/Decision Making Responsibilities: (Describe the kind of problems and challenges typically faced, and decisions required to perform the job, as well as recommendations made to supervisors or others. Focus on the nature of existing policies, precedents and procedures used to guide decisions, and the degree to which the incumbent is free to make decisions requiring interpretation and judgment. Provide an example.) Apply a hypothesis-driven approach to analyzing ambiguous or complex data and synthesizing insights to guide strategic decisions. Promote adoption of best practices in data analysis, modeling, and visualization, while tailoring approaches to meet the unique needs of each project. Tackle analytical challenges with creativity and rigor, balancing innovative thinking with practical problem-solving across varied business domains. Prioritize work based on business impact and deliver timely, high-quality results in fast-paced environments with evolving business needs. Demonstrate sound judgement in selecting methods, tools, and data sources to support business objectives. Knowledge and Skills Requirements: (Describe the knowledge or skills needed to perform this job; these may be professional, technical, or managerial) Proven experience as a data analyst, business analyst, data engineer, or similar role. Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately. Foundational knowledge of statistics, including concepts like distributions, variance, and correlation. Skilled in documenting processes and presenting findings to both technical and non-technical audiences. Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions. Proficient in both Python and SQL, with strong programming and scripting skills. Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data. Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems. Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn. Experience with defining and designing KPIs and aligning data insights with business goals. Additional/Optional Knowledge and Skills: (Describe any additional knowledge or skills that, while not required, may be useful or helpful to perform this job; these may be professional, technical, or managerial) Experience with the Microsoft Fabric data analytics environment. Proficiency in using the Apache Spark distributed analytics engine, particularly via PySpark and Spark SQL. Exposure to implementing machine learning or AI solutions in a business context. Familiarity with Python machine learning libraries such as scikit-learn, XGBoost, PyTorch, or transformers. Experience with Power Platform tools (Power Apps, Power Automate, Dataverse, Copilot Studio, AI Builder). Knowledge of pricing, commercial strategy, or competitive intelligence. Experience with cloud-based data services, particularly in the Azure ecosystem (e.g., Azure Synapse Analytics or Azure Machine Learning). Supervision Responsibilities: (Describe the level of supervision received, i.e., the frequency of supervisory contact, degree to which the individual acts independently and on what kinds of issues. Describe the level of supervision of others, if any, i.e., assigning work, reviewing performance, direct or indirect responsibility). Operates with a high degree of independence and autonomy. Collaborates closesly with cross-functional teams including sales, pricing, and commercial strategy. Mentors junior team members, helping develop technical skills and business domain knowledge. Other Requirements: (Describe any miscellaneous functions or expectations of the job that are important to note) Collaborates with a team operating primarily in the Eastern Time Zone (UTC 4:00 / 5:00). Limited travel may be required for this role. Job Requirements: Education: (What is the minimum level of education or equivalent experience needed/suggested to perform this job effectively?) A bachelor’s degree in a STEM field relevant to data analysis, data engineering, or data science is required. Examples include (but are not limited to) computer science, statistics, data analytics, artificial intelligence, operations research, or econometrics. Experience: (What is the minimum number or range of years needed to perform this job?) 3–6 years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services enviornment. Certification Requirements: (Describe and explain any certifications and/or licenses needed or helpful to perform this job). No certifications are required for this role. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Position Title: AI/ML Engineer Company : Cyfuture India Pvt. Ltd. Industry : IT Services and IT Consulting Location : Sector 81, NSEZ, Noida (5 Days Work From Office) Website : www.cyfuture.com About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e.g., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise 1. Cloud Computing & Deployment Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. 2. Machine Learning & Deep Learning Strong command of frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. 3. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). 4. Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing: Apache Spark, Dask, Ray. 5. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. 6. Resource Optimization Efficient use of compute resources: GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. 7. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

Who Are We Looking For We are looking for a passionate Full Stack Intern who is eager to work on both frontend and backend technologies. This internship offers a real-world opportunity to develop scalable, secure, and user-friendly web applications. What You Will Be Doing Interns may be involved in learning and contributing to the following areas: Full-Stack Web Development Frontend Development: HTML5, CSS3, JavaScript Angular Framework (Components, Services, Routing, etc.) Responsive Design, Bootstrap, and UI Libraries Backend Development: .NET Core (Web APIs, MVC) RESTful Services and Integration Database: SQL Server or equivalent Schema Design, Stored Procedures, and CRUD Operations Manual Quality Assurance (QA) Introduction to QA methodologies and the software testing lifecycle (STLC) Writing and executing test cases Bug reporting and tracking (using tools like Excel, Trello, Jira, or others) Functional, Regression, UI/UX Testing Cross-browser and cross-device testing Understanding SDLC and QA’s role in Agile environments User Experience (UX) Design (if aligned with intern interest) Fundamentals of UX Design Wireframing and Prototyping Tools (e.g., Figma) Usability Testing and User Feedback Integration Embedded Systems & IoT (Optional Track) Introduction to Arduino and Microcontroller Programming Sensor Integration, Circuit Design, and Testing Basics of Embedded C/C++ and IoT Protocols Real-world Mini Projects using Arduino or similar platforms Basic Artificial Intelligence with Python Python Programming Basics and Libraries (NumPy, Pandas, Matplotlib) Introduction to AI & Machine Learning Concepts Data Preprocessing and Visualization Building Basic Models with Scikit-learn Mini Projects such as: Spam Detection Sentiment Analysis Basic Image Classification Optional: Exploring Chatbots or AI-integrated web features Bonus Points for Familiarity with By the end of the internship, based on the interest and self learning efforts, the interns will be able to: Build and deploy a basic full-stack web application. Understand the software development lifecycle and version control systems (e.g., Git). Optionally demonstrate prototypes or hardware solutions in the embedded domain. Educational Requirement Good understanding of both frontend and backend web development. Experience with React.js (or similar frontend frameworks). Knowledge of Node.js, Express.js, and working with databases. Problem-solving mindset and willingness to learn. Good Communication Skills, Self learner willing to do tasks Salary This is an unpaid internship for 6 months. There will be no salary during the internship period . However, a full-time employment opportunity may be offered to high-performing interns based on their commitment, growth, and contributions after succesful completion of internship and can be discussed once shortlisted. Working Days Mondat - Friday Working Hours 8-9 Hours Onsite Perks & Benefits You'll Get Mentorship from experienced developers. Hands-on experience in real-time projects. Internship Certificate after successful completion. Job offer based on learning, contribution & performance. Show more Show less

Join us as a "Chief Control Office" , where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with MS office, SQL, Alteryx, Power Tools, Python as well as job-specific skillsets. To be successful as an "Analyst", you should have experience with: Basic/ Essential Qualifications: Graduate in any discipline Experience in Controls, Governance, Reporting and Risk Management preferably in a financial services organisation Proficient in MS Office – PPT, Excel, Work & Visio Proficient in SQL, Alteryx and Python Generating Data Insights and Dashboards from large and diverse data sets Excellent experience on Tableau, Alteryx, MS Office (i.e. Advance Excel, PowerPoint) Automation skills using VBA, PowerQuery, PowerApps, etc. Experience in using ETL tools. Good understanding of Risk and Control Excellent communication skills (Verbal and Written) Good understanding of governance and control frameworks and processes Highly motivated, business-focussed and forward thinking. Experience in senior stakeholder management. Ability to manage relationships across multiple disciplines Desirable skillsets/ good to have: Experience in data crunching/ analysis including automation Experience in handling RDBMS (i.e. SQL/Oracle) Experience in Python, Data Science and Data Analytics Tools and Techniques e.g. MatPlotLib, Data Wrangling, Low Code/No Code environment development preferably in large bank on actual use cases Understanding of Data Management Principles and data governance Design and managing SharePoints Financial Services experience Show more Show less

Job Title - S&C Global Network - AI - CMT – AI ML Consultant Management Level: 9- Consultant Location: Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHAT’S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture’s highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You’ll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. ML Maturity Assessment What you would do in this role Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation Of Gen AI Solutions Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating And Designing Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration And Communication Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information Opportunity to work on innovative projects. Career growth and leadership exposure. About Our Company | Accenture Show more Show less

📢 NOW HIRING: EXPERT TEACHERS FOR JAVA, PYTHON, SPSS, SAS & R PROGRAMMING We at Dr. Sourav Sir’s Classes , one of India’s leading coaching institutes, are expanding our technical and data science education team. We are looking for dedicated educators and subject matter experts who can teach one or more of the following subjects: 🔹 Subjects Open for Recruitment JAVA Teach fundamentals to advanced concepts like OOP, data structures, file handling, multithreading, and JavaFX. Candidates should be well-versed in IDEs like Eclipse or IntelliJ. PYTHON Cover programming basics, data types, control structures, functions, modules, OOP in Python, and libraries like NumPy, Pandas, and Matplotlib. Exposure to Flask or Django is a plus. SPSS Teach usage of SPSS for statistical analysis, data visualization, descriptive stats, regression, and ANOVA. Ideal for candidates from research, statistics, or social sciences background. SAS Must cover BASE SAS, DATA step programming, PROC SQL, and statistical procedures. Candidates with certification or industry experience will be given preference. R Programming Should be able to teach R from scratch including data frames, statistical analysis, plotting, ggplot2, and packages like dplyr and tidyr. Exposure to RStudio and R Markdown is necessary. 🎓 Who Can Apply? (Eligibility & Skills Required) Bachelor's / Master's / Ph.D. in Computer Science , Statistics , Mathematics , Data Science , or related disciplines. Teaching experience (even informal or tutoring) is highly preferred. Should have strong command over the subject(s) applied for. Must be able to communicate concepts in simple and relatable ways . Prior exposure to academic content development or online course delivery is a bonus. Enthusiasts who can motivate and mentor students aiming for academic or professional excellence. 📘 Job Description & Responsibilities Lecture Delivery : Conduct high-quality classes (online or offline) with structured topic progression. Doubt Clarification : Solve student doubts and guide them through conceptual understanding. Content Creation : Develop assignments, practice problems, solutions, quizzes, and mock tests. Project Support : Assist students in practical/academic projects using relevant tools. Academic Strategy : Participate in course planning and innovation in teaching methods. 🧭 Work Format & Job Type Job Nature : Full-time / Part-time / Freelance (flexibility based on availability and expertise). Mode of Teaching : Online (Pan-India and global outreach) Offline (Kolkata center only) Suitable for: College Professors Working Professionals Researchers Doctoral Candidates Freelance Tutors 💼 What You Get (Benefits & Opportunities) Attractive Pay Package : Compensation as per subject and hours taught—flexible and competitive. Work-Life Balance : Flexible timing and teaching mode. Reputation : Join one of India’s most trusted educational brands. Academic Exposure : Opportunity to teach students preparing for IIT JAM, ISI, Actuarial Science, Data Science roles, and global exams. Growth : Expand your profile through content publication, webinars, and live classes. ✅ How to Apply? 📩 Step 1 – WhatsApp your updated CV to: 8981679014 📞 Step 2 – For any query or further information, Call or WhatsApp : 8981679014 Join Dr. Sourav Sir’s Classes and be a guide, a mentor, and a changemaker in the world of education. 🔗 Your knowledge deserves a wider platform. Let’s build futures together. Show more Show less

We are seeking for Machine Learning Developer for our global service based client Mode of Employment: FTE (direct payroll with client) Experience: 8+years Location: Noida, Bangalore, Hyderabad, Bhubaneswar Expectations from the Role: Must have 5+ years of IT experience Strong coding experience using python programming and scripting Good experience on libraries such as pandas, Numpy, Scikit, matplotlib etc. Good hands on experience on Time series Forecasting and regression techniques If your interested kindly send your resume to Swetha.R@voltoconsulting.com Show more Show less

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Automotive ECU Software Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As Python Developer, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients. Roles & Responsibilities: Design and develop Python scripts to process and analyze CAN bus logs generated from instrumented vehicle tests. Utilize libraries like pandas, NumPy, and SciPy to manipulate, clean, and transform automotive datasets. Implement data visualization techniques using libraries like Matplotlib, Seaborn, etc. to create informative dashboards for engineers and analysts. Collaborate with engineers to understand data requirements, define analysis goals, and interpret results. Professional & Technical Skills: Proficiency in Python for building web applications, REST APIs, and automation tasks. Developed Python scripts to extract, clean, and transform CAN bus data from automotive test logs. Developed interactive dashboards using Python libraries like Dash etc. to visualize and analyze automotive test data. Understanding of AWS cloud platform and how to design algorithms that work efficiently in cloud environments. Experience creating dashboards in Tableau. Additional Information: The candidate should have a minimum of 5 years of experience in Python for building web applications and automation tasks. This position is based at our Hyderabad office. A 15 years full time education is required (Bachelor of Engineering in Electronics/Computer Science, or any related stream) Show more Show less

About us Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc. You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis What you’ll do Lead AI Initiatives : Architect and implement AI-driven solutions for Consumer Products consulting and client delivery AI & Machine Learning : Develop and deploy Generative AI-based solutions , leveraging cloud computing platforms (AWS/ Azure/GCP) Technical Leadership : Guide the team in AI, machine learning, and data engineering , ensuring optimal architecture and deployment Software Development & Data Engineering : Hands-on experience with Python programming, microservices architecture, and cloud technologies (AWS) Database: Proven experience with database systems such as SQL Server, PostgreSQL, good to have knowledge of Snowflake, Oracle Frontend and Backend Technologies : Exposure to HTML, CSS, Javascript, ReactJS and FastAPI, Django Python Libraries: Exposure to data analysis and visualization libraries like Matplotlib, Plotly, Pandas, Numpy etc. Prompt Engineering & Generative AI : Strong understanding of LLMs, NLP, Chains, Agents and AI model fine-tuning Client Engagement : Work in client-facing roles, understand business needs, and translate them into AI-driven solutions Strategic AI Roadmap : Identify technical limitations , propose alternative approaches, and ensure the scalability of AI applications About you 8+ years of experience in Data Engineering, Software Engineering, and AI/ML Experience in CPG consulting and client delivery Expertise in Python, Generative AI, and cloud computing (AWS/Azure/GCP) Hands-on experience with microservices architecture and chatbot development Adept at Prompt Engineering and AI model optimization Proven track record of leading AI-driven projects with a strategic and solution-oriented mindset Experience in client-facing roles , managing interactions and delivering AI- AI-powered business solutions Prior experience in AI-driven consulting for the Consumer Products industry . Exposure to LLM-based applications Ability to bridge the gap between business and technology , translating client needs into actionable AI solutions What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents .. Show more Show less

About Us We are a Platform Engineering company specializing in DevOps, CloudOps, and AIOps, working across various cloud platforms and services. Our team designs and delivers scalable, automated, and resilient cloud-native solutions for enterprises globally. Job description Interested to start your Career as a Senior AI/ML Developer(4+ Year Exp) ? Cloud Control is a forward-thinking IT organization dedicated to delivering cutting-edge solutions and improving the digital landscape. Role Overview: We are seeking a motivated and enthusiastic Senior AI/ML Engineer (4+ Year Exp) to join our growing lowtouch.ai team. The ideal candidate will have a strong interest in machine learning, data science, and AI technologies, and a passion for solving real-world problems using these skills. This is an entry-level role that offers the opportunity to work alongside experienced professionals, build foundational knowledge, and contribute to the development and deployment of AI solutions. Key Responsibilities: Assist in the development, training, and deployment of machine learning models for various business applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Perform exploratory data analysis, feature engineering, and data preprocessing to improve model performance. Support in evaluating and selecting appropriate AI/ML algorithms and techniques based on project requirements. Contribute to model testing, validation, and iteration, ensuring alignment with accuracy and performance metrics. Document models, workflows, and code to ensure reproducibility and scalability of AI solutions. Stay up-to-date with the latest advancements in AI/ML technologies, frameworks, and best practices. Qualifications and Skills: Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Technical Skills: Basic understanding of machine learning algorithms and concepts (e.g., regression, classification, clustering). Proficiency in programming languages such as Python, R, or similar. Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of data preprocessing, feature selection, and model evaluation techniques. Experience with basic data analysis and visualization using tools like Pandas, Matplotlib, or Seaborn. Analytical Skills: Strong problem-solving abilities with attention to detail and accuracy. Communication: Good verbal and written communication skills to effectively collaborate with team members and stakeholders. Passion for Learning: Eagerness to learn and grow in the field of AI/ML and keep up with emerging trends and technologies. Job Type: Full-time Immediate joiners Preffered Show more Show less

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.

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.

Experience: 5-6 years Key Responsibilities Process, analyze, and interpret time-series data from MEMS sensors (e.g., accelerometers, gyroscopes, pressure sensors). Develop and apply statistical methods to identify trends, anomalies, and key performance metrics. Compute and optimize KPIs related to sensor performance, reliability, and drift analysis. Utilize MATLAB toolboxes (e.g., Data Cleaner, Ground Truth Labeler) or Python libraries for data validation, annotation, and anomaly detection. Clean, preprocess, and visualize large datasets to uncover actionable insights. Collaborate with hardware engineers, software developers, and product owners to support end-to-end data workflows. Convert and format data into standardized schemas for use in data pipelines and simulations. Generate automated reports and build dashboards using Power BI or Tableau. Document methodologies, processes, and findings in clear and concise technical reports. Required Qualifications Proficiency in Python or MATLAB for data analysis, visualization, and reporting. Strong foundation in time-series analysis , signal processing, and statistical modeling (e.g., autocorrelation, moving averages, seasonal decomposition). Experience working with MEMS sensors and sensor data acquisition systems. Hands-on experience with pandas, NumPy, SciPy, scikit-learn, and matplotlib . Ability to develop automated KPI reports and interactive dashboards (Power BI or Tableau). Preferred Qualifications Prior experience with data from smartphones, hearables, or wearable devices . Advanced knowledge in MEMS sensor data wrangling techniques. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Exposure to real-time data streaming and processing frameworks/toolboxes. Show more Show less

Position-Azure Data Engineer Location- Hyderabad Mandatory Skills- Azure Databricks, pyspark Experience-5 to 9 Years Notice Period- 0 to 30 days/ Immediately Joiner/ Serving Notice period Interview Date- 13-June-25 Interview Mode- Virtual Drive Must have Experience: Strong design and data solutioning skills PySpark hands-on experience with complex transformations and large dataset handling experience Good command and hands-on experience in Python. Experience working with following concepts, packages, and tools, Object oriented and functional programming NumPy, Pandas, Matplotlib, requests, pytest Jupyter, PyCharm and IDLE Conda and Virtual Environment Working experience must with Hive, HBase or similar Azure Skills Must have working experience in Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Databases Azure DevOps Azure AD Integration, Service Principal, Pass-thru login etc. Networking – vnet, private links, service connections, etc. Integrations – Event grid, Service Bus etc. Database skills Oracle, Postgres, SQL Server – any one database experience Oracle PL/SQL or T-SQL experience Data modelling Thank you Show more Show less

Job Title : AI/ML Intern Location : Gurgaon, India Employment Type : Internship (Paid) Stipend : As per Industry Standards About Aaizel Tech Labs Aaizel Tech Labs is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We are passionate about leveraging technology to develop high-performance products and cutting-edge solutions. As a growing startup, we seek dynamic individuals eager to work on transformative projects in AI and Machine Learning. Role Overview We are looking for a motivated AI/ML Intern to join our data science team. This internship offers hands-on experience with model development, data engineering, and deployment in real-world projects. You will collaborate with experienced professionals and contribute to initiatives spanning predictive analytics, computer vision, and more helping to shape the future of technology at Aaizel Tech Labs. Key Responsibilities 1. Model Development & Optimization • ML Model Implementation: Assist in designing, implementing, and deploying machine learning models for applications like predictive analytics and anomaly detection. • Deep Learning Exposure: Gain experience with deep learning frameworks by working with CNNs, RNNs, and exploring generative models (GANs) on guided projects. • Experimentation: Help run experiments and tune models using basic hyperparameter optimization techniques (Grid Search, etc.). 2. Data Engineering & Preprocessing • Data Preparation: Support the collection, cleaning, and preprocessing of datasets using libraries like Pandas and NumPy. • ETL Assistance: Assist in developing simple ETL pipelines to process data from diverse sources such as IoT sensors or satellite imagery. • Integration: Learn to integrate data from APIs and databases to build comprehensive datasets for analysis. 3. Research & Algorithm Development • Innovation Exposure: Research state-of-the-art machine learning techniques (e.g., Transfer Learning, Transformer models) and assist in applying these to ongoing projects. • Algorithm Exploration: Participate in team discussions to brainstorm new approaches for solving real-world problems in cybersecurity, climate monitoring, or geospatial data analysis. 4. Deployment & MLOps • Deployment Support: Gain hands-on experience deploying models using container technologies like Docker and basic CI/CD pipelines. • Cloud Platforms: Assist in experiments with cloud platforms (AWS, Azure, or GCP) for scalable model serving solutions. • Lifecycle Management: Learn best practices for model versioning, monitoring, and maintenance. 5. Performance Evaluation & Tuning • Model Metrics: Help evaluate model performance using metrics such as F1 Score, AUCROC, and other domain-relevant measures. • Tuning Assistance: Support the process of model tuning through guided experiments and parameter adjustments. 6. Collaboration & Code Quality • Team Integration: Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate AI solutions into end-to-end products. • Coding Standards: Contribute to maintaining high-quality codebases by following best practices and using version control (Git). • Documentation: Assist in documenting your work, including model specifications, experiments, and deployment processes. 7. Monitoring & Maintenance • Dashboard Support: Participate in the creation of monitoring dashboards (using tools like Grafana or Prometheus) to track model performance. • Feedback Loops: Help develop feedback mechanisms to retrain models based on real-time data and evolving application needs. Skills & Qualifications Required Qualifications: • Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field. • Proficiency in Python and familiarity with libraries such as Pandas, NumPy, and scikit-learn. • Basic understanding of machine learning algorithms and experience (academic projects or internships) with model development. • Exposure to one or more deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. • Ability to work collaboratively in a team-oriented environment. • Strong analytical and problem-solving skills, with attention to detail. • Good written and verbal communication skills. Preferred Qualifications: • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn) and basic dashboarding. • Some experience with SQL and NoSQL databases. • Interest in cloud platforms (AWS, Azure, or Google Cloud) and containerization (Docker). • Knowledge of version control systems (Git) and basic CI/CD concepts. • Prior internship or project experience in AI/ML is advantageous. Learning Opportunities • Practical Projects: Work on real-world AI/ML projects that contribute directly to our product development. • Mentorship: Benefit from one-on-one guidance from experienced data scientists and machine learning engineers. • Skill Development: Gain exposure to industry-standard tools, frameworks, and best practices in AI and ML. • Cross-Disciplinary Exposure: Collaborate with experts in cybersecurity, geospatial analysis, and data engineering. • Career Growth: Develop your professional network and acquire skills that could lead to a full-time opportunity. Application Process Please submit your resume and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech Labs’ success. Send your application to hr@aaizeltech.com , bhavik@aaizeltech.com or anju@aaizeltech.com. Join Aaizel Tech Labs and be part of a team that’s shaping the future of Big Data & AI-driven applications! Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 10th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Opportunities: Full-time remote or work-from-home Day shift, AEST Health Insurance Career Growth About the Role: We are looking for a passionate and motivated individual to join our team as an AI & Data Science Engineer. If you have a strong foundation in Python programming, SQL, and working with APIs, and are eager to learn and grow in the field of Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML), this role is perfect for you! As part of our team, you will have the opportunity to work on cutting-edge AI technologies, including generative AI models, and develop solutions that solve real-world problems. Key Responsibilities: Learn and contribute to the design and development of AI and machine learning models. Work with structured and unstructured data to uncover insights and build predictive models. Assist in creating NLP solutions for tasks like text classification, sentiment analysis, and summarisation. Gain hands-on experience in deep learning for image processing, speech recognition, and generative AI. Write clean and efficient Python code for data analysis and model development. Work with SQL databases to retrieve and analyse data. Learn how to integrate APIS into AI workflows. Explore Generative AI technologies (e.g., GPT, DALL·E) and contribute to innovative solutions. Collaborate with senior team members to develop impactful AI-powered applications. Document your findings and contribute to knowledge-sharing within the team. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Strong Python programming skills and familiarity with libraries like Pandas, NumPy, and Matplotlib. Basic knowledge of SQL for data manipulation and extraction. Understanding of Machine Learning concepts and algorithms. Interest in Natural Language Processing (NLP) and familiarity with tools like spaCy, NLTK, or Hugging Face is a plus. Willingness to learn and work with Deep Learning frameworks such as TensorFlow or PyTorch. Problem-solving mindset with the ability to work independently and within a team. Good communication skills and enthusiasm for learning new technologies. Technical requirements: Windows 11 operating system or MacOS 13+ 256GB Storage space - minimum 16GB RAM - minimum Dual Core CPU - minimum Camera: HD Webcam (720p) Headset: Noise-cancelling (preferably) Internet Speed: 50 Mbps - minimum Why Join Us? Opportunity to work on cutting-edge data science, machine learning, and AI projects. A collaborative and inclusive work environment that values continuous learning and innovation. Access to resources and mentorship to enhance your skills in NLP, ML, DL, and Generative AI . Competitive compensation package and growth opportunities. Note: Include your LinkedIn Account in your Resume About The Company: Freedom Property Investors is the largest and number one property investment company in Australia, with its main offices in the Sydney and Melbourne CBDs. We were awarded the 3rd fastest-growing business in Australia across all industries according to the Australian Financial Review. We are privileged to have 25+ years of combined experience between our two founders, who served over 10,000 valued members and over 300 full-time staff spread across Australia and growing. We pride ourselves on being the industry leaders. It is our mission to serve our valued members, earning over 2,054 positive Google reviews and a 4.8 Star rating, this is unheard of in our industry. We are in need of people who share the same values as we do. This opportunity is open to all driven individuals who are committed to helping people and earning life-changing income. Join Australia’s largest and number 1 property investment team and contribute to our mission to help Australians achieve their goals of financial freedom every day. Apply now!!! Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise 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. 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 Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience 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 Experience and working knowledge in COBOL & JAVA would be preferred Show more Show less

Job description About Reboot Robotics Academy: Reboot Robotics Academy is dedicated to empowering students with future-ready skills in Robotics, AI, IoT, and Coding . We are seeking a AI & IoT Trainer to join our team and inspire the next generation of tech innovators! Key Responsibilities: Conduct hands-on training on AI, Machine Learning, and IoT . Teach fundamental to advanced Python concepts, including data structures, OOP, and automation. Chatbot designing Guide students through real-world AI projects using TensorFlow, OpenCV, and NLP. Introduce concepts of Deep Learning, Neural Networks, and AI Ethics . Provide training on IoT-based applications using ESP32, Arduino, and Raspberry Pi (preferred). Deliver Drone programming & Robotics workshops (if experienced). Assist in curriculum development , lesson planning, and creating study materials. Provide mentorship and guidance to students for projects and competitions. Stay updated with the latest trends in AI, ML, IoT, and automation technologies . Required Skills & Qualifications: Strong proficiency in Python (OOP, NumPy, Pandas, Matplotlib). Hands-on experience with AI/ML frameworks (TensorFlow, Keras, Scikit-learn). Knowledge of Deep Learning, NLP, and Computer Vision is a plus. Familiarity with IoT, Arduino, ESP32, Raspberry Pi , and sensor-based automation is preferred. Experience with drone programming is an added advantage. Prior experience in teaching, training, or mentoring is preferred. Excellent communication & presentation skills . Passion for education, technology, and innovation . Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, AI, Data Science, IoT, or a related field. Experience in STEM, Robotics & IoT education is an advantage. Certifications in AI/ML, IoT, or Drone Technology are a plus. Why Join Us? Work with a leading EdTech academy shaping the future of AI, IoT & Robotics. Opportunity to mentor young minds in cutting-edge technology. Engage in innovation-driven projects & research opportunities . Growth opportunities in AI, IoT, and drone automation training . Job Types: Full-time, Fresher Pay: ₹8,000.00 - ₹20,000.00 per month Benefits: Leave encashment Paid sick time Schedule: Day shift Fixed shift Weekend availability Supplemental Pay: Yearly bonus Language: English (Required) Work Location: In person Show more Show less