1441 Matplotlib Jobs - Page 33

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH offers hands-on, project-based virtual internships that bridge the gap between academic knowledge and industry skills. Our Data Science Internship is curated to provide aspiring data professionals with real-world exposure in data collection, analysis, modeling, and decision-making using cutting-edge tools. 🚀 Internship Overview As a Data Science Intern , you’ll work on real-time datasets , apply machine learning models , and generate actionable insights . The role is ideal for individuals looking to strengthen their understanding of data pipelines, predictive modeling, and storytelling with data . 🔧 Key Responsibilities Clean, manipulate, and analyze structured and unstructured datasets Build and evaluate machine learning models for prediction/classification Apply statistical techniques to uncover trends and insights Work with tools such as Python, Pandas, NumPy, Scikit-learn, and Jupyter Notebooks Create visualizations using Matplotlib, Seaborn, or Power BI/Tableau Collaborate with mentors and peers to solve data-driven problems Document code, findings, and processes in clear and concise reports ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering , or related fields Proficient in Python and familiar with Pandas, NumPy, and basic ML libraries Strong foundation in statistics, probability , and data visualization Understanding of supervised and unsupervised learning algorithms Eager to learn, experiment, and solve complex problems using data 🎓 What You’ll Gain Practical experience with real-world datasets and projects Exposure to machine learning workflows and tools Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance A portfolio of data science projects to showcase in interviews

📊 Data Analyst Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is an edtech startup focused on delivering industry-aligned, project-based virtual internships . Our Data Analyst Internship is designed to equip students and recent graduates with the analytical skills and practical tools needed to work with real-world data and support business decisions. 🚀 Internship Overview As a Data Analyst Intern , you will work on live projects involving data collection, cleaning, analysis, and visualization . You will gain hands-on experience using tools like Excel, SQL, Python , and Power BI/Tableau to extract insights and create impactful reports. 🔧 Key Responsibilities Gather, clean, and organize raw data from multiple sources Perform exploratory data analysis (EDA) to uncover patterns and trends Write efficient SQL queries to retrieve and manipulate data Create interactive dashboards and visual reports using Power BI or Tableau Use Python (Pandas, NumPy, Matplotlib) for data processing and analysis Present findings and recommendations through reports and presentations Collaborate with mentors and cross-functional teams on assigned projects ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, IT, Statistics, Economics , or a related field Basic knowledge of Excel, SQL , and Python Understanding of data visualization and reporting concepts Strong analytical and problem-solving skills Detail-oriented, with good communication and documentation abilities Eagerness to learn and apply analytical techniques to real business problems 🎓 What You’ll Gain Practical experience in data analysis, reporting, and business intelligence Exposure to industry tools and real-life data scenarios A portfolio of dashboards and reports to showcase in interviews Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance

Hiring for Senior Data Scientist Location :- Madhapur ( Hybrid ) Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience as a Data Scientist or Data Science Trainer (2–5+ years preferred). Proficiency in Python, R, SQL, machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and visualization tools (e.g., Matplotlib, Tableau, Power BI). Strong communication, presentation, and public speaking skills. Experience with LMS platforms and remote teaching tools (Zoom, Google Meet, etc.). Job Types: Part-time, Internship Contract length: 2 months Expected hours: 2 per week Schedule: Day shift Work Location: In person

Job Information Date Opened 06/18/2025 Job Type Full time Industry Education Work Experience 1-3 years Salary ₹20,000 - ₹30,000 City Hyderabad State/Province Telangana Country India Zip/Postal Code 500001 About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Job Description Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory).

Blitz Academy is seeking a skilled and passionate Data Science Trainer/Faculty to join our academic team. The ideal candidate will deliver high-quality training sessions in Data Science, Machine Learning, and Python Programming, R ,and actively contribute to academic and real-world development projects. This role is perfect for professionals who enjoy mentoring while keeping their technical skills sharp. Key Responsibilities: Training & Mentorship: * Design and conduct interactive sessions on Python, Data Science, Machine Learning, Deep Learning, and related technologies. * Develop curriculum, tutorials, assignments, and evaluation tools tailored for students at different learning levels. * Offer individual mentorship and support to students to help them build strong foundational and practical knowledge. * Stay abreast of the latest industry trends, tools, and techniques and integrate them into teaching. Project Support: * Contribute to internal and external data science or analytics projects. * Guide students on project development, capstone projects, and real-world problem-solving. Required Skills & Competencies: * Proficient in Python programming, R * Hands-on experience with data science libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc. * Basic exposure to TensorFlow or PyTorch. * Strong grasp of SQL databases and data querying. * Solid understanding of statistics, data wrangling, and data visualization techniques. * Good knowledge of Machine Learning and Deep Learning models. * Understanding of NLP and working with textual data. * Proficiency in tools like Excel and Microsoft Power BI for data analysis. * Strong communication and presentation skills. * Ability to break down complex concepts into simple, engaging explanations. Good to Have: * Familiarity with cloud platforms like AWS, Azure, or GCP. * Experience with deployment tools and model deployment techniques. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person Application Deadline: 22/06/2025 Expected Start Date: 25/06/2025

Blitz Academy is seeking a skilled and passionate Data Science Trainer/Faculty to join our academic team. The ideal candidate will deliver high-quality training sessions in Data Science, Machine Learning, and Python Programming, R ,and actively contribute to academic and real-world development projects. This role is perfect for professionals who enjoy mentoring while keeping their technical skills sharp. Key Responsibilities: Training & Mentorship: Design and conduct interactive sessions on Python, Data Science, Machine Learning, Deep Learning, and related technologies. Develop curriculum, tutorials, assignments, and evaluation tools tailored for students at different learning levels. Offer individual mentorship and support to students to help them build strong foundational and practical knowledge. Stay abreast of the latest industry trends, tools, and techniques and integrate them into teaching. Project Support: Contribute to internal and external data science or analytics projects. Guide students on project development, capstone projects, and real-world problem-solving. Required Skills & Competencies: Proficient in Python programming, R Hands-on experience with data science libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc. Basic exposure to TensorFlow or PyTorch. Strong grasp of SQL databases and data querying. Solid understanding of statistics, data wrangling, and data visualization techniques. Good knowledge of Machine Learning and Deep Learning models. Understanding of NLP and working with textual data. Proficiency in tools like Excel and Microsoft Power BI for data analysis. Strong communication and presentation skills. Ability to break down complex concepts into simple, engaging explanations. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person Expected Start Date: 01/07/2025

Job Description: Data Science Trainer (Contractual Role)Job Title: Data Science Trainer (Contractual) Location: Delhi Duration: 2 months Project-based Working Type: Contractual About the Role: We are seeking a contract-based Data Science Trainer to deliver engaging, hands-on training sessions to students and professionals. The ideal candidate will have practical experience in Data Science tools, techniques, and real-world applications, and be passionate about teaching and mentoring learners. Key Responsibilities: · Conduct instructor-led training (ILT) sessions in Data Science on campus. · Develop and customize training content, modules, assignments, and assessments. · Guide students through hands-on projects in Machine Learning, Data Science, Python, Data Analytics, etc. · Mentor students on capstone projects, code reviews, and career readiness. · Stay up to date with industry trends and integrate them into the training curriculum. · Evaluate learner performance and provide regular feedback. · Collaborate with the academic/curriculum team to enhance training delivery quality. Required Skills & Qualifications: · Bachelor's/Master's in Computer Science, Data Science, Statistics, or related fields. · Proven industry experience or teaching experience in: · - Python / R · - Pandas, NumPy, Scikit-learn · - Machine Learning Algorithms · - Data Visualization (Matplotlib, Seaborn, Tableau/Power BI) · - SQL · - Basics of Deep Learning (optional) · Strong communication and presentation skills. · Experience delivering training to college students or working professionals preferred. Preferred Qualifications (Not Mandatory): · Experience with online learning platforms (Zoom, Google Meet, LMS tools). · Certification in Data Science/ML (like IBM, Microsoft, Coursera, etc.). · Prior experience in an EdTech or corporate training environment. Contract Details: Contract Type: Monthly Payment: 1000-1500/Lecture/Day Expected Hours: Daily 6 Hours (6 Days/Week) Start Date: Immediate How to Apply: Please share your updated resume, a brief cover letter, and any relevant project or demo links to aayush@winnovation.org Job Type: Contractual / Temporary Contract length: 2 months Pay: ₹1,000.00 - ₹1,500.00 per day Schedule: Day shift Work Location: In person

Role & responsibilities Required Skills: Strong Python programming experience, especially with pandas, numpy, matplotlib, seaborn. Experience in building monitoring dashboards or visualizations (e.g., Plotly, Dash, Streamlit). Understanding of ML model evaluation metrics (e.g., precision, recall, drift, AUC). Familiarity with model risk management concepts or frameworks. Ability to write clean, well-documented code for reproducibility and audit-readiness. Comfortable interpreting and working with structured model output and log files. Excellent attention to detail and communication skills. Should have Experience in Banking Domain Preferred candidate profile Notice Period: Immediate to 30 Days

Job Description: Data Science Trainer (Contractual Role)Job Title: Data Science Trainer (Contractual) Location: Delhi Duration: 2 months Project-based Working Type: Contractual About the Role: We are seeking a contract-based Data Science Trainer to deliver engaging, hands-on training sessions to students and professionals. The ideal candidate will have practical experience in Data Science tools, techniques, and real-world applications, and be passionate about teaching and mentoring learners. Key Responsibilities: · Conduct instructor-led training (ILT) sessions in Data Science on campus. · Develop and customize training content, modules, assignments, and assessments. · Guide students through hands-on projects in Machine Learning, Data Science, Python, Data Analytics, etc. · Mentor students on capstone projects, code reviews, and career readiness. · Stay up to date with industry trends and integrate them into the training curriculum. · Evaluate learner performance and provide regular feedback. · Collaborate with the academic/curriculum team to enhance training delivery quality. Required Skills & Qualifications: · Bachelor's/Master's in Computer Science, Data Science, Statistics, or related fields. · Proven industry experience or teaching experience in: · - Python / R · - Pandas, NumPy, Scikit-learn · - Machine Learning Algorithms · - Data Visualization (Matplotlib, Seaborn, Tableau/Power BI) · - SQL · - Basics of Deep Learning (optional) · Strong communication and presentation skills. · Experience delivering training to college students or working professionals preferred. Preferred Qualifications (Not Mandatory): · Experience with online learning platforms (Zoom, Google Meet, LMS tools). · Certification in Data Science/ML (like IBM, Microsoft, Coursera, etc.). · Prior experience in an EdTech or corporate training environment. Contract Details: Contract Type: Monthly Payment: 1000-1500/Lecture/Day Expected Hours: Daily 6 Hours (6 Days/Week) Start Date: Immediate How to Apply: Please share your updated resume, a brief cover letter, and any relevant project or demo links to aayush@winnovation.org Job Type: Contractual / Temporary Contract length: 2 months Pay: ₹1,000.00 - ₹1,500.00 per day Schedule: Day shift Work Location: In person

Job Title: Data Scientist – Real Estate Analytics Location: Yelahanka, Bangalore | Full-Time | On-Site About Us: Dharmic Homez is a fast-growing luxury real estate startup building ultra-premium villas in Bangalore. We’re seeking a Data Scientist to bring efficiency, insight, and intelligence across our operations, sales, and market strategy. Key Responsibilities: Build predictive models for lead conversion, pricing, ROI, and demand forecasting. Analyze sales, CRM, marketing, and customer behavior data . Develop dashboards using Power BI / Tableau / Google Data Studio . Perform geospatial analysis using GIS tools & Google Maps API. Clean, transform, and manage large datasets using SQL, Python (Pandas, NumPy) . Deploy machine learning algorithms (regression, classification, clustering). Conduct competitive benchmarking via web scraping or APIs. Collaborate cross-functionally with marketing, sales, and leadership teams. Requirements: 3+ years experience in data science or analytics. Proficient in Python, SQL, scikit-learn, pandas, matplotlib, seaborn . Strong in statistics, data wrangling, data visualization, ML models . Experience with real estate data or customer analytics preferred. Knowledge of APIs, ETL, and cloud tools (AWS/GCP) is a plus. Apply at careers@dharmichomez.in with subject line: Data Scientist – Real Estate Job Type: Full-time Pay: ₹500,000.00 - ₹850,000.00 per year Schedule: Day shift Ability to commute/relocate: Yelahanka Satellite Town, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have forecasting experience in real estate? Experience: Data science: 2 years (Preferred) Location: Yelahanka Satellite Town, Bengaluru, Karnataka (Preferred) Work Location: In person

Job Description: We are seeking a skilled and innovative Data Scientist to join our team. The ideal candidate will have strong experience in AI/ML, Big Data technologies, and cloud platforms like AWS , with a passion for solving complex problems through data-driven insights. Responsibilities: Design, develop, and deploy machine learning and deep learning models for predictive analytics and intelligent automation. Work with large and complex datasets using Big Data technologies such as Hadoop, Spark, or similar tools. Implement AI/ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch, or Keras . Build and maintain cloud-based data science solutions on AWS (e.g., SageMaker, Lambda, S3, Redshift). Collaborate with engineering, product, and business teams to understand requirements and deliver actionable insights. Create dashboards, reports, and visualizations to communicate data findings using tools like Power BI, Tableau, or QuickSight . Perform data cleaning, transformation, and feature engineering to prepare data for analysis. Stay updated with emerging trends in AI/ML and cloud technologies. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience with Python and relevant data science libraries (e.g., Pandas, NumPy, Matplotlib). Hands-on experience with AWS services and Big Data platforms . Strong understanding of ML algorithms and model evaluation techniques. Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 20th 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

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AI - ML Developer Key Skills: image analytics, computer vision, and visual data processing, Python, Gen AI Job Locations: Hyderabad Experience: 6 – 10 Years Budget: 16 – 20 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to pnomula@people-prime.com Show more Show less

About This Role BlackRock’s Fixed Income team runs more than $1 trillion in global fixed income assets across index, active long-only, alternative, and liability driven strategies. The platform offers fixed income investors one of the industry's broadest array of investment choices across model-based and fundamental investment styles. With over $400 billion in assets under management, the BlackRock Financial Institutions Group (FIG) is hiring a Technical Program Manager (TPM) to lead and build the technology function supporting FIG’s investment processes. This is a hybrid leadership role that blends hands-on development, team management, and cross-functional stakeholder engagement. The TPM will manage end-to-end technology delivery, drive governance and standardization, and directly mentor both junior developers and business-aligned citizen developers. You’ll be responsible for designing and delivering scalable tools using Python and Streamlit, while embedding best practices across a growing ecosystem of investment-enabling technology. In addition, the TPM will spearhead the exploration and implementation of Generative AI (GenAI) solutions—identifying high-value use cases, building prototypes, and integrating AI assistants or copilots that enhance productivity, insight generation, and user experience within the investment process. Key Responsibilities Hands-On Technical Delivery Design, develop, and deploy internal tooling and analytics using Python and Streamlit. Contribute to and oversee reusable libraries, APIs, and visualizations for investment and operational needs. Maintain high standards in code quality, performance, and documentation. Program & Delivery Leadership Own the roadmap and execution of technical projects, ensuring timely, high-impact delivery. Lead agile processes including sprint planning, prioritization, and retrospectives. Track deliverables and manage risks across multiple workstreams. Team Management & Mentorship Lead a currently small growing technical team, distributing tasks, conducting reviews, and fostering growth. Guide citizen developers and business stakeholders building local tools - offering technical support, guardrails, and integration guidance. Champion a collaborative, learning-oriented environment. Tech Governance & DevOps Define and enforce governance practices for the team’s codebase—version control, testing, modularity, and reuse. Maintain and evolve CI/CD pipelines and infrastructure using Azure and modern DevOps best practices. Ensure integration with enterprise platforms and APIs. Stakeholder Engagement Work closely with portfolio managers, investment strategists, data and risk teams to understand needs and translate them into scalable tech solutions. Present demos, technical updates, and roadmaps to senior stakeholders. Facilitate coordination with enterprise engineering teams (e.g., platform and infra). What We’re Looking For Required Skills And Qualifications 3-6 years of experience in engineering or technical program leadership roles, including both people and project management. Proficiency in Python, with experience building and deploying user-facing tools using Streamlit, and leveraging libraries such as pandas, NumPy, and matplotlib for data analysis and financial modeling. Strong familiarity with CI/CD pipelines, Azure, and modern DevOps practices. Track record of leading delivery from concept to production. Exceptional communication and stakeholder management skills across tech and business. Familiarity with Portfolio Management software and tools. Solid understanding of version control systems, preferably Git, and experience in managing a collaborative codebase. Desirable Skills Experience mentoring citizen developers or enabling business-side teams to build responsibly. Knowledge of fixed income or other capital markets; Aladdin platform familiarity is a plus. Familiarity with Tableau, data APIs, or lightweight ETL frameworks. Exposure to risk, performance attribution, or investment workflows. What we offer? A global role at the intersection of finance and technology, with a significant impact on investment strategies and outcomes. Opportunities for professional growth in both technology and financial domains. A collaborative and innovative team environment focused on continuous improvement and excellence. Exposure to cutting-edge Generative AI technologies and the opportunity to design and apply AI-driven solutions in real-world investment workflows. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (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). ✔ 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." 📅 Deadline: 20th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Title: AI & ML Trainer (With Expertise in Generative AI & Content Creation) Location: On Site- Bangalore Job Type: Full-time Experience Level: 5+ years in AI/ML training and content development About Us MAA Academy is dedicated to upskilling professionals in cutting-edge AI & ML technologies. We believe in empowering individuals with practical, real-world knowledge and enabling them to harness AIs full potential. As we expand our offerings, we are looking for a passionate AI & ML Trainer who can design, create, and deliver impactful learning experiences in AI, ML, and Generative AI. Role Overview We are seeking an experienced and highly passionate AI & ML Trainer who is well-versed in Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have a strong technical background, a passion for teaching and upskilling professionals and students, and the ability to design structured training programs. This role involves creating engaging course content, conducting hands-on training, and mentoring learners to enhance their AI & ML expertise. Educational Qualifications: Mandatory: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical fields. Preferred: Ph.D. or ongoing doctoral work in AI/ML or Data Science (especially if teaching at university level). Certifications from reputed institutions in: Machine Learning (e.g., Andrew Ngs ML course Stanford/Coursera) Deep Learning Specialization Gen AI (e.g., Prompt Engineering, GPT usage, etc.) Cloud ML Platforms (e.g., AWS ML Specialty, Google Cloud AI Engineer) Key Responsibilities 1. Training & Facilitation Deliver high-quality AI & ML training sessions (live/recorded) to professionals, and students. Conduct hands-on coding sessions using Python, TensorFlow, PyTorch, and other ML frameworks. Guide learners in building real-world AI applications and ML models. Provide one-on-one mentorship to resolve technical doubts and support learning progress. 2. Content Development & Course Design Design structured AI & ML learning programs aligned with industry trends. Develop engaging learning materials, including presentations, coding exercises, quizzes, and projects. Create video content, tutorials, and blogs on AI, ML, and Generative AI concepts. Keep course content up to date with the latest advancements in AI, including LLMs, Transformers, Diffusion Models, and AI Agents. 3. Generative AI & Advanced Technologies Teach concepts related to Generative AI (ChatGPT, DALL•E, Midjourney, Stable Diffusion, etc.). Guide learners in building AI-powered applications using APIs from OpenAI, Hugging Face, and other AI providers. Explain AI ethics, biases, and responsible AI to ensure learners apply AI solutions ethically. 4. Engagement & Professional Development Foster an interactive and engaging learning environment. Organize webinars, hackathons, and AI challenges for learners. Stay updated with emerging AI research and incorporate the latest developments into training. 5. Industry & Project-Based Learning Develop capstone projects that mirror real-world AI problems. Help learners build portfolio-worthy AI projects for career growth. Collaborate with industry partners to bring case studies and real AI applications into learning. Required Skills & Qualifications Technical Expertise Strong proficiency in Machine Learning, Deep Learning, and AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Hands-on experience with Generative AI models (GPT, Stable Diffusion, BERT, LLaMA, etc.). Familiarity with ML Ops, AI Deployment, and Cloud Platforms (AWS, GCP, Azure). Strong programming skills in Python (NumPy, Pandas, OpenCV, Hugging Face, LangChain, etc.). Knowledge of AI Ethics, Explainable AI (XAI), and Bias Mitigation Techniques. Training & Content Development Proven experience in designing and delivering AI/ML training programs. Ability to create high-quality AI learning content (videos, courses, assignments, projects). Experience with LMS platforms, e-learning tools, and AI-powered course creation tools. Passion for Upskilling & Teaching Strong communication and presentation skills. A growth mindset and commitment to mentoring professionals. Ability to simplify complex AI concepts for different learner levels. Preferred Qualifications (Nice-to-Have) Industry experience in AI/ML-based projects. Certifications in AI/ML (Google TensorFlow Developer, AWS ML, etc.). Experience with AI Agent frameworks, RAG models, and AI-driven automation. Familiarity with AI & ML applications in Finance, Healthcare, Retail, etc. What We Offer Opportunity to work with a cutting-edge AI learning platform. Access to the latest AI/ML research & industry collaborations. Remote-friendly work environment (if applicable). A passionate and collaborative team focused on upskilling the next-gen AI workforce. How to Apply If you are excited about teaching, AI innovation, and upskilling professionals, wed love to hear from you! Send your resume and a short cover letter to Sharmila@maa.co.in Join us in shaping the future of AI education!

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 19th 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

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (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). ✔ 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." 📅 Deadline: 19th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Join our AI team as a Generative AI Engineer! Work on LLMs, prompt engineering, and model fine-tuning. Ideal for freshers or those with up to 2 years of experience in Python, ML, and deep learning. Passion for AI is a must!

Job Description Job Title – Senior Data Scientist Candidate Specification – 10+ years, Notice Period – Immediate to 30 days, Hybrid. Job Summary We are seeking a highly skilled and experienced Senior Data Scientist to join our advanced analytics team. The ideal candidate will possess strong statistical and machine learning expertise, hands-on programming skills, and the ability to transform data into actionable business insights. This role also requires domain understanding to align data science efforts with business objectives in industries such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Equipment . Primary Responsibilities Lead the design, development, and deployment of advanced machine learning and statistical models Analyze large, complex datasets to uncover trends, patterns, and actionable insights Collaborate cross-functionally with business, engineering, and domain teams to define analytical problems and deliver impactful solutions Apply deep understanding of business objectives to drive the application of data science in decision-making Ensure the quality, integrity, and governance of data used for modeling and analytics Guide junior data scientists and review code and models for scalability and accuracy Core Competencies (Primary Skills) Statistical Analysis & Mathematics Strong foundation in probability, statistics, linear algebra, and calculus Experience with hypothesis testing, A/B testing, and regression models Machine Learning & Deep Learning Proficient in supervised/unsupervised learning, ensemble techniques Hands-on experience with neural networks, NLP, and computer vision Business Acumen & Domain Knowledge Proven ability to translate business needs into data science solutions Exposure to domains such as Oil & Gas, Pharma, Automotive, Desalination, and Industrial Pumps/Motors Technical Proficiency Programming Languages: Python, R, SQL Libraries & Tools: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI MLOps & Deployment: Docker, Kubernetes, MLflow, Airflow Cloud & Big Data (Preferred): AWS, GCP, Azure, Spark, Hadoop, Hive, Presto Secondary Skills (Preferred) Generative AI: GPT-based models, fine-tuning, open-source LLMs, Agentic AI frameworks Project Management: Agile methodologies, sprint planning, stakeholder communication Skills Required RoleSenior Data Scientist - Contract Hiring Industry TypeIT/ Computers - Software Functional Area Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills DEEP LEARNING MACHINE LAEARNING PYHTON S TATISTICAL ANALYSIS Other Information Job CodeGO/JC/375/2025 Recruiter NameChristopher Show more Show less

Job Opportunity: Teachers Required for Java, Python, Mathematics & Physics 📅 Job Type: Part-Time / Full-Time (Based on availability and expertise) We are looking for dynamic, passionate, and knowledgeable educators to join our academic team and deliver high-quality instruction in the following subjects: 1. Java Teacher Strong foundation in core Java concepts (OOPs, Collections, Exception Handling, Multithreading, etc.) Experience with GUI frameworks (like JavaFX or Swing) is a plus. Ability to explain real-world applications and project-based learning. Teaching experience for academic or professional Java certification courses preferred. 2. Python Teacher Thorough knowledge of Python programming, including libraries like NumPy, pandas, matplotlib. Understanding of real-world applications such as data science, automation, or web development (Django/Flask). Ability to simplify complex logic for beginners and advanced learners. Prior teaching or mentoring experience will be highly appreciated. 3. Mathematics Teacher Capable of teaching school-level (CBSE/ICSE/State), college-level (B.Sc., B.Tech), and competitive exam maths (IIT-JEE, Olympiads, etc.). Must be well-versed in algebra, calculus, statistics, geometry, number theory, and logic. Ability to handle concept-based and problem-solving-oriented teaching styles. A strong academic background (M.Sc./Ph.D. preferred). 4. Physics Teacher Sound knowledge of both theoretical and applied physics. Capable of teaching school boards, entrance exams (NEET, JEE), and undergraduate physics (mechanics, thermodynamics, electromagnetism, etc.). Experience in lab-based explanation and conceptual visualization is an added advantage. Passionate about simplifying complex scientific ideas. ✅ Who Can Apply? Teachers, college professors, subject matter experts, or professionals looking to teach. Individuals with excellent communication skills and passion for teaching. Freshers with strong academic background are also encouraged to apply. 📲 To Apply: Send your CV via WhatsApp at 8981679014 For any queries , feel free to call or WhatsApp at 8981679014 Help shape the future by teaching the minds of tomorrow! Show more Show less

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Salary - 30K CTC TO 35K CTC Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities Deliver high-quality lectures on AI, Machine Learning, and Data Science. Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Show more Show less