779 Matplotlib Jobs - Page 3

Dear candidates we are hiring for Data Analyst' Qualification::Any Graduation Experience::2+years Location::Bangalore What We’re Looking For: ● 2–4 years of experience as a data analyst or similar role, preferably within a product based company ● Strong analytical and problem-solving skills with a knack for pattern recognition andanomaly detection. ● Proficiency in SQL, Python (Pandas, NumPy, Matplotlib /Seaborn), and data visualization tools (e.g. Meta base, Looker Studio). ● Comfortable working with analytical databases (e.g., Big Query, Redshift, Snowflake)to handle large-scale data operations efficiently ● Ability to communicate complex insights to both technical and non-technical stakeholders .● A proactive mindset and a passion for using data to drive meaningful change. ● Good to have - Hands-on experience with time-series or telemetry data, especially from IoT or connected vehicle systems and exposure to basic ML techniques Note:: Candidates from Manufacturing company will be more prefer Job Type: Full-time Pay: ₹120,000.00 - ₹180,000.00 per year Work Location: In person

Job Title: 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 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 (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: 15th 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: 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 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 (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: 15th 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

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Show more Show less

Artificial Intelligence & Machine Learning 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 a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

Data Science Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The Data Science Internship is designed to equip you with the skills required to extract insights, build predictive models, and solve complex problems using data. Role Overview: As a Data Science Intern, you will work on real-world datasets to develop machine learning models, perform data wrangling, and generate actionable insights. This internship will help you strengthen your technical foundation in data science while working on projects that have a tangible business impact. Key Responsibilities: Collect, clean, and preprocess data from various sources Apply statistical methods and machine learning techniques to extract insights Build and evaluate predictive models for classification, regression, or clustering tasks Visualize data using libraries like Matplotlib, Seaborn, or tools like Power BI Document findings and present results to stakeholders in a clear and concise manner Collaborate with team members on data-driven projects and innovations Qualifications: Pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, or a related field Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, etc.) Understanding of statistical analysis and machine learning algorithms Familiarity with SQL and data visualization tools or libraries Strong analytical, problem-solving, and critical thinking skills Eagerness to learn and apply data science techniques to solve real-world problems Internship Benefits: Hands-on experience with real datasets and end-to-end data science projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of data science projects and models Show more Show less

📊 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 Show more Show less

About Client Our client is a market-leading company with over 30 years of experience in the industry. As one of the world’s leading professional services firms, with $19.7B, with 333,640 associates worldwide, helping their clients modernize technology, reimagine processes, and transform experiences, enabling them to remain competitive in our fast-paced world. Their Specialties in Intelligent Process Automation, Digital Engineering, Industry & Platform Solutions, Internet of Things, Artificial Intelligence, Cloud, Data, Healthcare, Banking, Finance, Fintech, Manufacturing, Retail, Technology, and Salesforce Hi....! We are hiring for below Positions Job Title: AI/ML Developer Key Skills: AI/ML , Deep Learning , Machine Learning, Gen AI , Python, Image Processing , Computer Vision Job Locations: Hyderabad Experience: 5 – 10 Years Budget: 13 – 15LPA 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 sushma.n@people-prime.com Show more Show less

Job Title: 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 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 (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: 15th 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: 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 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 (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: 15th 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

📍 Location: Remote 💼 Type: Internship (Unpaid) 🕒 Duration: Flexible (Learn at your own pace!) 📅 Application Deadline: 7th June 2025 📊 About TechNest Intern TechNest Intern , we are committed to helping learners move beyond theory by providing a practical, remote-first internship experience in the field of Data Science . This program is specially designed for students and freshers looking to apply their analytical skills on real datasets , develop ML models , and understand how data powers smart decisions in today’s world. 🚀 💼 Role: Data Science Intern Curious about the patterns behind the numbers? Want to work with data that drives real impact? This role is perfect for aspiring data scientists who want to get hands-on with data cleaning, analysis, machine learning, and storytelling. You’ll work on mini-projects, gain mentorship, and explore tools like Python, Pandas, and scikit-learn, while also improving your data visualization and communication skills. 📌 Key Responsibilities 📊 Collect, clean, and explore real-world datasets 📈 Perform Exploratory Data Analysis (EDA) to find trends and insights 🤖 Build basic Machine Learning models using libraries like scikit-learn 📚 Work with tools like NumPy, Pandas, Matplotlib, Seaborn, Jupyter 🧠 Understand feature engineering, model evaluation, and tuning 🗂️ Present insights through charts, notebooks, or dashboards 🔍 Learn and apply statistical thinking to solve problems 👥 Who Should Apply? 🎓 Students or recent graduates with interest in Data Science / Analytics 💡 Individuals familiar with Python and basic statistics 📉 Learners who enjoy working with numbers and uncovering patterns 🧠 Problem-solvers looking to turn data into meaningful stories 🚀 Beginners who want to build a portfolio-ready data project 🎁 Perks & Learning Outcomes 📜 Official Offer Letter & Certificate of Completion 🌍 Remote & Flexible Schedule — no fixed hours, learn your way 💻 Project-Based Learning — build a strong data science portfolio 🧠 Learn tools like Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, Power BI 📊 Get mentorship in EDA, Machine Learning, and Data Storytelling 🏆 ✨ New! "Intern of the Week Certificate" — awarded weekly to interns showing outstanding effort, innovation, and growth 🎯 Gain exposure to how real-world data challenges are tackled in tech and business 🚀 How to Apply 📩 Ready to dive into data and level up your skills? Submit your application and start your journey to becoming a data-driven decision maker ! Show more Show less

Job Role : Financial Analysts and Advisors For Workflow Annotation Specialist Project Type: Contract-based / Freelance / Part-time – 1 Month Job Overview: We are seeking domain experts to participate in a Workflow Annotation Project . The role involves documenting and annotating the step-by-step workflows of key tasks within the candidate’s area of expertise. The goal is to capture real-world processes in a structured format for AI training and process optimization purposes. Domain Expertise Required : Collect market and company data, build/maintain financial models, craft decks, track portfolios, run risk and scenario analyses, develop client recommendations, and manage CRM workflows. Tools & Technologies You May have Worked: Commercial Software ‑ Bloomberg Terminal, Refinitiv Eikon, FactSet, Excel, PowerPoint, Salesforce FSC, Redtail, Wealthbox, Orion Advisor Tech, Morningstar Office, BlackRock Aladdin, Riskalyze, Tolerisk, eMoney Advisor, MoneyGuidePro, Tableau, Power BI. Open / Free Software ‑ LibreOffice Calc, Google Sheets, Python (Pandas, yfinance, NumPy, SciPy, Matplotlib), R (QuantLib, tidyverse), SuiteCRM, EspoCRM, Plotly Dash, Streamlit, Portfolio Performance, Ghostfolio, Yahoo Finance API, Alpha Vantage, IEX Cloud (free tier). Show more Show less

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). 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., 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 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. 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. 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). 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. 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. 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. 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. (ref:hirist.tech) Show more Show less

About the RoleWe are looking for a passionate and knowledgeable Python & Data Science Instructor to teach and mentor students in our [online / in-person] data science program. You’ll play a key role in delivering engaging lessons, guiding hands-on projects, and supporting learners as they build real-world skills in Python programming and data science. This is a great opportunity for professionals who love teaching and want to empower the next generation of data scientists. 📚 ResponsibilitiesTeach core topics including: Python fundamentals Data manipulation with pandas and NumPy Data visualization using matplotlib/seaborn/plotly Machine learning with scikit-learn Jupyter Notebooks, data cleaning, and exploratory data analysis Deliver live or recorded lectures, tutorials, and interactive sessions Review and provide feedback on student projects and assignments Support students via Q&A sessions, forums, or 1-on-1 mentoring Collaborate with curriculum designers to refine and improve content Stay updated with the latest industry trends and tools ✅ RequirementsStrong proficiency in Python and the data science stack (NumPy, pandas, matplotlib, scikit-learn, etc.) Hands-on experience with real-world data projects or industry experience in data science Prior teaching, mentoring, or public speaking experience (formal or informal) Clear communication and ability to explain complex topics to beginners [Bachelor’s/Master’s/PhD] in Computer Science, Data Science, Statistics, or a related field (preferred but not required) ⭐ Bonus PointsExperience with deep learning frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience teaching online using tools like Zoom, Slack, or LMS platforms Contribution to open-source, GitHub portfolio, or Kaggle participation 🚀 What We OfferFlexible working hours and remote-friendly environment Opportunity to impact learners around the world Supportive and innovative team culture Competitive pay and performance incentives

Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Must have: Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment Must have: Hands-on experience with GCP services for ML & data science Must have: Experience with Vector Search and Hybrid Search techniques Must have: Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models Must have: Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy) Must have: Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Must have: Understanding of semantic vs lexical search paradigms Must have: Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost, LightGBM with LTR support) Should be proficient in SQL and BigQuery for analytics and feature generation Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Should have experience deploying models and services using Vertex AI, Cloud Run, or Cloud Functions Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch) and blending with vector-based approaches Good to have: Familiarity with Vertex AI Matching Engine for scalable vector retrieval Good to have: Familiarity with TensorFlow Hub, Hugging Face, or other model repositories Good to have: Experience with prompt engineering, context windowing, and embedding optimization for LLM-based systems Should understand how to build end-to-end ML pipelines for search and ranking applications Must have: Awareness of evaluation metrics for search relevance (e.g., precision@k, recall, nDCG, MRR) Should have exposure to CI/CD pipelines and model versioning practices GCP Tools Experience: ML & AI: Vertex AI, Vertex AI Matching Engine, AutoML, AI Platform Storage: BigQuery, Cloud Storage, Firestore Ingestion: Pub/Sub, Cloud Functions, Cloud Run Search: Vector Databases (e.g., Matching Engine, Qdrant on GKE), Elasticsearch/OpenSearch Compute: Cloud Run, Cloud Functions, Vertex Pipelines, Cloud Dataproc (Spark/PySpark) CI/CD & IaC: GitLab/GitHub Actions Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Requisition Number: 100603 AI/ML Technical Lead Location- Delhi NCR, Bangalore, Pune, Hyderabad Shifts- 2:00 PM IST – 11:00 PM IST Insight at a Glance 14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortune’s World's Best Workplaces™ list #14 on Forbes World's Best Employers in IT – 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions About The Role As a AI ML Technical Lead with Insight , we are seeking a highly skilled AI/ML led engineer to join our team and contribute to lead, design, development, and deployment of artificial intelligence solutions. As a Team Lead, you will be responsible for overseeing the end-to-end lifecycle of AI/ML projects, mentoring engineers, and collaborating with cross-functional teams to drive innovation and business impact. The ideal candidate will have a strong background in machine learning, deep learning, NLP and computer vision and data science, with the ability to build and integrate AI models that solve complex business problems. About The Team Join us at the Data & AI Division, where we're not just another tech Division—we're the driving force behind empowering businesses to unlock the full potential of their data. Our mission is crystal clear: to harness the power of data through scalable solutions and repeatable processes, revolutionizing decision-making and problem-solving across industries. What We Do Dynamic Data Insights: Delve into the realm of data analytics and gain invaluable insights that fuel informed decision-making, empowering businesses to tackle challenges faster and more effectively. Cutting-Edge Platforms: Step into the forefront of innovation with our modern data platforms, cloud solutions, and infrastructure, laying the groundwork for unleashing untapped business potential and maximizing ROI. AI-Powered Advancements: Embrace the future with predictive analytics and AI-driven trend forecasting, equipping organizations to seize new opportunities and gain a competitive edge in today's fast-paced markets. Automation Revolution: Lead the charge in automation solutions, revolutionizing workflows and boosting productivity, enabling teams to concentrate on high-value tasks and propel business growth. Optimization Expertise: Harness our advanced analytics capabilities to optimize processes and elevate performance, ensuring steadfast operations and continual improvement. Comprehensive Business Intelligence: Provide comprehensive views of data through our business intelligence solutions, empowering organizations to address critical questions and navigate a path toward future success. Join our team and be part of a transformative journey where your contributions will shape the future of AI integration, driving real-world impact and propelling businesses toward success. Key Responsibilities Lead and mentor a team of AI/ML engineers, ensuring best practices in model development and deployment. Design, develop, and implement scalable machine learning models and AI-driven solutions. Collaborate with data scientists, software engineers, and product managers to integrate AI models into applications. Optimize and fine-tune machine learning models for performance, accuracy, and efficiency. Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into the team’s workflow. Conduct code reviews, provide technical guidance, and improve development processes. Manage project timelines, deliverables, and ensure alignment with business objectives. Work with cloud-based and on-premises AI/ML platforms to deploy and monitor models in production. Ensure compliance with ethical AI principles, data privacy regulations, and best security practices. Collaborate with DevOps teams to ensure seamless integration of AI models into existing systems and workflows. Document AI processes, model architectures, and development practices to ensure knowledge sharing and scalability. Provide technical leadership and mentorship to junior AI engineers and data scientists. Be Ambitious : This opportunity is not just about what you do today but also about where you can go tomorrow. As a AI ML Lead, you are positioned for swift advancement within our organization through a structured career path. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Required Skills And Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 8 to 12 years of experience in AI, machine learning, or data science roles, with a strong portfolio of successfully deployed AI solutions along with at least 2 years in leading the AI/ML team. Strong proficiency in Python, TensorFlow, Py-Torch, Py-Spark and other ML frameworks. Strong understanding of machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, GANs), NLP, Computer Vision, Generative AI and AI model development. Knowledge on MLOps practices and tools for model deployment, monitoring, and scaling. Experience with data preprocessing, feature engineering, and working with large datasets in cloud environments (e.g., AWS, Google Cloud, Azure). Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI or Tableau) and experience in interpreting and communicating model results. Strong problem-solving skills, with the ability to translate business requirements into AI solutions. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with version control systems (e.g., Git) and Agile development practices. Other Skills Experience with reinforcement learning, and Agentic AI will add advantage. Knowledge of ethical AI practices and considerations in AI model development. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for AI model deployment. What You Can Expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. Medical Insurance Health Benefits Professional Development: Learning Platform and Certificate Reimbursement Shift Allowance But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambitious journey starts here. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Today's talent leads to tomorrow's success. Learn more about Insight: https://www.linkedin.com/company/insight/ Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities 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

At Valtech, We’ve Got Opportunities To Offer You — For Growth, For Leadership, For Big, World-changing Impact And For, Dare We Say It, Fun. We Are a Global Workforce That Is Committed To Building a World That Works Better For Everyone. And That Starts With Our Kin. That’s Why We’re Proud Of The role Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Valtech will provide a platform and training to help them reach their full potential. Valtech is looking to hire a Business Intelligence Analyst / Data Engineer to join our growing capabilities team. If you are innovative, passionate about data and AI technologies, and look to continually learn and enjoy sharing expertise, read on! Role Responsibilities Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline. Engineer data pipelines and products to help stakeholders make and execute data driven decisions. Communicate analytical findings in an intuitive and visually compelling way. Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines Architecting cloud data platform components enabling the above Building and tracking project timelines, dependences, and risks Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions Minimum Qualifications We want all new hires to succeed in their roles at Valtech. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. Proven industry experience executing data engineering, analytics, and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities. Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, and R. Preferred Qualifications Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3. Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc. Proficiency with cloud architecture components (AWS, Azure, Google) Proficiency with data pipeline software such as Airflow, Luigi, or Prefect Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems Experience leading and managing technical data/analytics/machine learning projects What We Offer You’ll join an international network of data professionals within our organisation. We support continuous development through our dedicated Academy. If you're looking to push the boundaries of innovation and creativity in a culture that values freedom and responsibility, we encourage you to apply. At Valtech, we’re here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what we’re doing to create a Valtech for everyone here. Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. We’d love to hear from you and see if you’re our next member of the Valtech team! Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We are looking for a highly skilled and motivated Data Scientist with 3+ of professional experience to join our dynamic team. The ideal candidate will excel in data analytics, working with complex datasets, and applying machine learning and deep learning techniques to solve real-world problems. If you are passionate about leveraging data to drive insights and innovation, this is the role for you. Key tasks & accountabilities Analyze and interpret complex datasets to uncover actionable insights. Design, develop, and implement machine learning and deep learning models using tools and frameworks such as Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, etc. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Create and maintain scalable data pipelines and workflows. Use statistical techniques to test hypotheses and validate models. Optimize machine learning algorithms for efficiency and scalability. Communicate insights and model performance to stakeholders via data visualization and presentations. Stay up-to-date with the latest advancements in data science, machine learning, and big data technologies. Qualifications, Experience, Skills Level Of Educational Attainment Required B. Tech in Computer Science, or Background in Statistics, Economics, Mathematics. Previous Work Experience & Skills Required Data Analytics: Proficiency in statistical analysis and deriving insights from data. Business Exposure: Experience in building optimization model, Marketing mix model. Machine Learning & Deep Learning Frameworks: Strong working knowledge of libraries like Pandas, Scikit-learn, TensorFlow, Keras, and PyTorch. Programming: Proficiency in Python and experience using GitHub for version control. Databases: Expertise in working with structured and unstructured data using databases. Cloud Platforms: Hands-on experience with Azure infrastructure for data storage, Azure DataBricks processing, and deployment. Data Visualization: Ability to create compelling visualizations using tools like Matplotlib, Seaborn, or Power BI. Complex Datasets: Exposure to working with large and intricate datasets in various domains. Version Control: Experience using GitHub for version control, collaboration, and managing repositories effectively And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

Position-Azure Data Engineer Location- Pune Mandatory Skills- Azure Databricks, pyspark Experience-5 to 9 Years Notice Period- 0 to 30 days/ Immediately Joiner/ Serving Notice period 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

We are looking for an experienced faculty member to deliver our DATA SCIENCE with MACHINE LEARNING &AI course. This program equips learners with real-world skills in data handling, analytics,and AI technologies. Tools & Technologies Taught: Programming & Libraries: Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras Data Handling & Visualization: Tableau, Power BI, SQL, Django Other Tools (as applicable): Git/GitHub (version control), Excel (for basic data manipulation). Job Type: Full-time Pay: ₹8,086.00 - ₹12,000.00 per month Schedule: Day shift Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Python Bootcamp Instructor Position Overview We are seeking an experienced Python developer and educator to lead our intensive 9-session Python Live Bootcamp program. This hands-on teaching role requires someone who can guide students from zero programming experience to advanced Python development through practical, project-based learning. The ideal candidate will combine deep technical expertise with exceptional teaching abilities and a passion for helping others learn to code. Key Responsibilities Instructional Delivery Conduct live, interactive 2-hour teaching sessions for the Python bootcamp (18 total hours of instruction) Demonstrate coding concepts through real-time development of practical projects Guide students through building increasingly complex applications, from simple calculators to full-featured systems Facilitate the capstone session by live-coding a complete Personal Finance Dashboard application Technical Instruction Teach Python fundamentals through hands-on project development including: Interactive programs and basic I/O operations Control flow and decision-making logic Data structures (lists, dictionaries, tuples, sets) Functions, modules, and code organization File handling and data persistence Object-oriented programming concepts External library integration Advanced techniques (decorators, generators, multithreading) Debug student code in real-time and explain problem-solving approaches Demonstrate professional coding practices and clean architecture principles Student Support Provide clear explanations of complex concepts using practical examples Adapt teaching pace based on student comprehension Answer technical questions during and between sessions Offer constructive feedback on student projects Create an encouraging learning environment for beginners Required Qualifications Technical Expertise Minimum 3-5 years of professional Python development experience Strong proficiency in Python 3.x and its standard library Hands-on experience with: Object-oriented programming and design patterns File I/O operations (text, CSV, JSON) Exception handling and debugging Popular Python libraries (requests, matplotlib) RESTful APIs and web scraping Basic multithreading and performance optimization Teaching Experience Previous experience teaching programming (classroom, bootcamps, or workshops) Ability to explain technical concepts to complete beginners Experience with live coding demonstrations Comfort with project-based and practical learning approaches Project Development Skills Portfolio demonstrating various Python applications Experience building: CLI applications with user interaction Data processing and analysis tools Applications with external API integration Object-oriented systems with multiple components Preferred Qualifications Experience teaching in coding bootcamps or intensive programs Background in curriculum development for technical training Familiarity with additional Python frameworks ( FastAPI) Experience with data science libraries (pandas, numpy) Industry certifications in Python or related technologies Essential Skills Communication : Ability to explain complex concepts in simple terms Patience : Comfortable working with students at different skill levels Problem-solving : Quick debugging and troubleshooting abilities Adaptability : Flexibility to adjust teaching methods based on student needs Enthusiasm : Genuine passion for Python and teaching others to code Organization : Ability to manage time effectively during live sessions Presentation : Comfortable with live demonstrations and public speaking Session Commitment Duration : 9 sessions over 5 weeks (June 21 - July 19, 2025) Schedule : Saturdays: June 21, 22, 28, 29, July 5, 6, 12, 13, 19 2 hours per session (8-10pm IST) Format : Live, interactive instruction with hands-on coding, Remote What We Offer Competitive hourly/session rate Opportunity to shape the next generation of Python developers Flexible remote teaching option Access to teaching resources and support materials Potential for ongoing & future instructor opportunities Application Requirements Please submit: Resume highlighting Python development and teaching experience GitHub profile or portfolio showcasing Python projects Optional: teaching demonstration video Please submit all these requirements to vipul@businessanalyticsinstitute.com Deadline - 15th June 2025 ; 11:59pm Show more Show less

Role Overview As a Data Scientist / Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets. You will be responsible for data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You’ll collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine. Key Responsibilities Execute end-to-end data science projects involving clinical data. Process and analyze complex datasets, including EHR and other real-world data sources. Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.). Conduct exploratory data analysis and statistical hypothesis testing. Communicate findings via well-documented code, reports, and presentations. Collaborate with cross-functional teams, including clinicians, engineers, and product managers. Stay up-to-date with advances in machine learning, healthcare AI, and relevant research. Required Qualifications PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply. Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn). Experience working with biological, clinical, or healthcare-related datasets in academia or industry. Solid understanding of statistical concepts and ability to apply them practically. Strong communication skills with an ability to document and explain technical work clearly. Preferred Qualifications (Nice to Have) Hands-on experience working with real-world or EHR data (structured/unstructured). Published or contributed to academic/industry research projects. Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links). Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR. Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar. Experience with Git or other version control systems. Show more Show less