904 Preprocess Jobs - Page 22

Position: Machine Learning Engineer Intern Organization: TechKnowledgeHub.org Location: Remote / Hybrid / On-site (if applicable) Duration: 3–6 Months | Flexible Timings Stipend: Performance-Based / Certificate & LOR Provided About Us: TechKnowledgeHub.org is an emerging platform committed to empowering learners and professionals with cutting-edge knowledge in technology, data science, AI, and beyond. We provide hands-on training, industry-oriented projects, and real-world experience to bridge the gap between academia and industry. Internship Role Overview: We are looking for passionate and curious Machine Learning Engineer Interns who want to build real-world AI/ML applications and contribute to impactful projects. This role offers a unique opportunity to work closely with experienced mentors, learn industry practices, and strengthen your ML skillset. Responsibilities: Collaborate with the AI/ML team to design, develop, and deploy ML models Work on supervised and unsupervised learning algorithms, data preprocessing, and feature engineering Analyze large datasets and build models for prediction/classification Assist in developing APIs or deploying models using tools like Flask, FastAPI, or Streamlit Document code, experiments, and results for knowledge sharing Requirements: Good understanding of Python and core ML libraries (scikit-learn, pandas, NumPy, etc.) Knowledge of key ML algorithms like regression, decision trees, clustering, etc. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus Ability to work with datasets, preprocess data, and validate model performance Strong willingness to learn and contribute proactively What You’ll Gain: Hands-on experience with live ML projects Mentorship from experienced professionals Internship Certificate & Letter of Recommendation Exposure to deployment, version control (Git), and collaborative workflows Opportunity to be featured on TechKnowledgeHub’s platform for outstanding work How to Apply: Send your updated resume and a short statement about your interest in ML to resume@techknowledgehub.org 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

🌍We’re Hiring! | Technical Analyst – Crop Analysis & GIS | New Delhi 🌍 We're looking for a skilled Technical Analyst to support critical crop monitoring and mapping initiatives. 🔧 Role: Technical Analyst – Crop Analysis & GIS 📍 Location: New Delhi 📅 Experience: 2 Years 🎓 Qualification: M.Sc . in Remote Sensing & GIS / Environmental Science / Agriculture. 🕒 Type: Full-Time ✅ Key Responsibilities: 🛰️ Perform crop classification using remote sensing & ML techniques 📊 Conduct crop modeling for yield prediction and growth analysis 🗺️ Develop accurate crop maps using satellite data (Sentinel, Landsat, etc.) 🧪 Preprocess spatial data and carry out image classification & validation 📝 Document technical workflows and prepare analytical reports 🤝 Collaborate with agronomists, GIS specialists, and data teams 🔍 Key Skills Required: ✔️ Crop Classification | Crop Modeling | Crop Mapping ✔️ Proficiency in GIS & Remote Sensing Tools: ArcGIS, QGIS, ERDAS, ENVI ✔️ Experience with satellite imagery analysis ✔️ Familiarity with Python/R for geospatial processing (preferred) ✔️ Good understanding of agricultural practices & seasonal cycles 🎯 You’re a Great Fit If You Have: 🎓 M.Sc . in Remote Sensing & GIS or Environmental Science 🧭 2 years of hands-on experience in crop or geospatial projects 📌 A passion for applying spatial science in sustainable agriculture 📨 Interested? Apply Now! Send your CV to: Gaurav.shukla@cipl.org.in 📞 Contact: 8887526296 hashtag #Hiring hashtag #TechnicalAnalyst hashtag #GISJobs hashtag #CropMapping hashtag #RemoteSensing hashtag #GeospatialJobs hashtag #Agritech hashtag #EnvironmentalScience hashtag #NewDelhiJobs hashtag #AgricultureTechnology hashtag #CareerOpportunity Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 20th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 20th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 20th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . 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

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns. M&G Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G plc’s ambition to be the best loved and most successful savings and investments company in the world. Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI & Insights), Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance and Audit provide our people with exciting career growth opportunities. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. We are seeking a skilled and detail-oriented Data Analyst / Power BI Analyst to join our dynamic team. The successful candidate will be responsible for analysing and presenting complex data sets, creating insightful reports and performance dashboards using Power BI, along with providing data-driven recommendations to support business decisions. They will also be responsible for generating the performance team's management information on a monthly basis and implementing the use of AI and automation within the team. Key Responsibilities: Data Analysis: Collect, clean, and preprocess large datasets from various sources. Analyse data from across the Performance landscape to identify trends, patterns, and anomalies, so it can be used to provide valuable insights in order to drive better client outcomes. Perform statistical analysis to support business strategy and operations. Power BI Reporting: Develop, maintain, and improve Power BI reports and dashboards within the Performance team Use DAX (Data Analysis Expressions) to manipulate data within Power BI. Ensure data visualisations are both informative and visually appealing. Providing simple concise meaningful insights Business Intelligence: Collaborate with stakeholders across the business to understand their performance data needs and requirements. Translate business needs into technical specifications for reporting and analysis solutions. Provide actionable insights and recommendations based on analysis. Database Management: To understand and aid the data platform teams with performance data storage and delivery solutions. Ensure data integrity and security within databases. Create and maintain documentation of data processes and models. Continuous Improvement: Implement AI usage and drive automation where appropriate within the performance team, driving efficiency and lower risks Stay updated with the latest trends and technologies in data analysis and business intelligence. Identify opportunities for process improvements and implement best practices in data presentation. Controls: Supporting the implementation of controls and procedures and documenting the same. Supporting the implementation of controls within M&G’s central Investment Data Platform. Ensuring data requirements are fully supported within all required systems. Qualifications: Bachelor’s degree in data science, Computer Science, Statistics, Business Analytics, or a related field. Master's degree is a plus. Proven experience as a Data Analyst or Business Intelligence Analyst. Proficiency in Microsoft Power BI with demonstrable experience in creating complex dashboards and reports. Strong proficiency in SQL for querying databases. Experience with data processing and analysis tools such as Excel, Python, or R. Knowledge of data warehousing concepts and ETL processes. Excellent analytical and problem-solving skills. Strong communication skills to present findings and recommendations effectively. Skills: Technical Skills: Advanced knowledge of Power BI, DAX, and Power Query. Proficiency in SQL and data manipulation. Experience with data analysis tools (Excel, Python, R). Analytical Skills: Ability to analyse and interpret complex data sets. Strong statistical analysis skills. Ability to draw meaningful insights and actionable recommendations from data. Communication Skills: Excellent verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders. Organisational Skills: Strong attention to detail and accuracy. Ability to manage multiple tasks and projects simultaneously. Effective time-management skills. We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks. Show more Show less

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

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital). The Role Senior Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles And Responsibilities You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Mandatory Qualifications Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 3+ years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe. Follow us on LinkedIn & Twitter 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: 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

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 19th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 19th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 19th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . 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 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: 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

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 19th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Job Title: Data Scientist Experience: 6-10 years Location: Noida Contract duration: 6 months + extendable Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques, including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, and contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. • Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field, and must be experience of 6-10 years. • Desirable Skills: Must Have 1. Experience in time series forecasting, regression Model, Classification Model 2. Python, R, Data analysis 3. Large-scale data handling with Pandas, Numpy, and Matplotlib 4. Version Control: Git or any other 5. ML Framework: Hands-on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/Azure/ GCP), Docker, Kubernetes 7. Model Selection, evaluation, Deployment, Data collection, and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Show more Show less

Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection preprocessing, estimation, Architecture creation Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. • Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years. • Desirable Skills: Must Have 1. Experience in timeseries forecasting, regression Model, Classification Model 2. Python , R, Data analysis 3. Large size data handling with Panda , Numpy and Matplot Lib 4. Version Control: Git or any other 5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis 7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week Show more Show less

Job description We are looking for AI Developer to work at our organisation Job Description: We are looking for passionate and talented AI to join our team and work on cutting-edge artificial intelligence and machine learning projects. This role will provide hands-on experience in AI model development, data processing, and deploying intelligent solutions. Key Responsibilities: Develop, train, and test machine learning and deep learning models Work with large datasets, preprocess data, and optimize models Implement AI algorithms for real-world applications such as NLP, computer vision, and predictive analytics Collaborate with cross-functional teams to integrate AI solutions into products Stay updated with the latest AI advancements and research Write clean, efficient, and well-documented code Required Skills: Strong understanding of machine learning, deep learning, and AI concepts Proficiency in Python and AI libraries Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Job Types: Full-time, Permanent Job Types: Full-time, Permanent Benefits: Provident Fund Location Type: In-person Schedule: Day shift Morning shift Application Question(s): How many years of AI Developer experience your having? Current Salary and Salary Expectation Notice period duration Location: Coimbatore, Tamil Nadu (Required) Work Location: In person Speak with the employer +91 7010166778

About Loti AI, Inc Loti AI specializes in protecting major celebrities, public figures, and corporate IP from online threats, focusing on deepfake and impersonation detection. Founded in 2022, Loti offers likeness protection, content location and removal, and contract enforcement across various online platforms including social media and adult sites. The company's mission is to empower individuals to control their digital identities and privacy effectively. We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications And Skills Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. Show more Show less

AI Engineer Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Master’s or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Speed to outcome Preferred Skills Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien Show more Show less

Role : Python Engineer Overview of the position: We are looking for a proactive and analytical Python Automation Engineer & Data Modeler to join our team. This individual will be responsible for automating existing manual processes, supporting ongoing automation workflows, and developing simple machine learning models. The ideal candidate will have strong problem-solving and troubleshooting skills , a good understanding of Python , and a passion for automation and data analysis. Requirements : Educational Qualification : BE/ B.Tech/MCA or equivalent degree in Computer Science or BE / B.Tech (Artificial Intelligence and Machine Learning) or M.Tech in Data Science (AI & ML) or Post Graduate Program in Artificial Intelligence and Machine Learning Experience : 0-2 years of hands-on experience in Python programming with a focus on automation and data modeling . Skills : Strong knowledge of Python, with expertise in libraries like pandas , NumPy , scikit-learn , and TensorFlow . Experience in automating processes using Python-based frameworks and tools (e.g., Airflow , cron jobs , task schedulers ). Good understanding of algorithms and data structures. Analytical and troubleshooting skills, with the ability to identify and resolve issues in automated systems. Strong problem-solving ability and a detail-oriented approach. Familiarity with data visualization tools like Matplotlib, Seaborn is a plus Key Responsibilities: Algorithm Development & Process Automation : Design, develop, and implement Python-based algorithms to automate manual processes across various departments. Identify automation opportunities, optimize existing workflows, and implement solutions that streamline operations. Support Existing Automation : Provide ongoing support and maintenance for the existing automation pipelines to ensure they run efficiently and without interruptions. Troubleshoot and debug any issues related to automated processes and implement fixes or improvements. Model Building & Deployment : Build, test, and deploy simple predictive models or algorithms using machine learning libraries like scikit-learn or TensorFlow . Ensure the models are scalable and integrate seamlessly into the automated processes. Data Analysis & Processing : Clean, preprocess, and analyze large datasets to support automation and model development. Ensure data integrity and accuracy for reliable model training and process execution. Collaboration & Documentation : Collaborate with cross-functional teams to understand requirements and deliver optimal technical solutions. Document the algorithms, automation workflows, and models to ensure maintainability and knowledge sharing across teams. Location: Chennai Employment Type: Internship Role Category: Software Engineer About the Company: Matrimony.com Ltd is India's first pure play Wed-Tech Company to get listed on BSE and NSE. Its flagship brand Bharat Matrimony is the largest and the Most Trusted Matrimony Brand (as per the Brand Trust Report 2014). Over 3000 associates serve close to 6 million members. The company provides both matchmaking and wedding related services and is also complemented by 100+ company-owned retail outlets. Its flagship matchmaking services are Bharat Matrimony, Elite Matrimony and Community Matrimony. Jodii, a game changing vernacular matrimony service for common people was launched in 2022. With Jodii, Matrimony.com serves all facets of people on the economic spectrum – ranging from the HNI to the commoner. With a strong leadership in matchmaking, the company has fast expanded into the $55 billion wedding services Industry: Wedding Bazaar – the Largest Wedding Services Provider and Mandap.com – the Largest Online Wedding Venues Platform. Matrimony has also forayed into international markets with its UAE operations completing over 4 years and Bangladesh operations commencing in year 2021. The goal is to build a billion-dollar revenue company and a long-lasting institution with a legacy for the generations to come. Location: Chennai Employment Type: Internship Role Category: Software Engineer Location : Chennai Show more Show less

Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

Design, develop, and implement AI and machine learning models and algorithms to solve complex business problems Analyze and preprocess large datasets, ensuring data quality for model training and deployment Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflow Monitor, test, and optimize model performance, retraining as necessary to maintain accuracy and efficiency Stay updated with the latest advancements in AI/ML technologies and best practices to drive continuous innovation Show more Show less

MoAt CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, tar gets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Senior Associate Data Scientist Location: Bangalore Business & Team: Home Buying Decision Science Impact & contribution: The Senior Associate Data Scientist will use technical knowledge and understanding of business domain to deliver moderate or highly complex data science projects independently or with minimal guidance. You will also engage and collaborate with business stakeholders to clearly articulate findings to solve business problems. Roles & Responsibilities: Analyse complex data sets to extract insights and identify trends. Develop predictive models and algorithms to solve business problems. Work on deployment of models in production. Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions. Clean, preprocess, and manipulate data for analysis through programming. Communicate findings and recommendations to stakeholders through reports and presentations. Stay updated with industry trends and best practices in data science. Contribute to the development and improvement of data infrastructure and processes. Design experiments and statistical analysis to validate hypotheses and improve models. Continuously learn and enhance skills in data science techniques and tools. Strongly support the adoption of data science across the organization. Identify problems in the products, services and operations of the bank and solve those with innovative research driven solutions. Essential Skills: Strong hands-on programming experience in Python (mandatory), R, SQL, Hive and Spark. More than 3 years of relevant experience. Ability to write well designed, modular and optimized code. Knowledge of H2O.ai, GitHub, Big Data and ML Engineering. Knowledge of commonly used data structures and algorithms. Good to have: Knowledge of Time Series, NLP and Deep Learning and Generative AI is preferred. Good to have: Knowledge and hands-on experience in developing solutions with Large Language Models. Must have been part of projects building and deploying predictive models in production (financial services domain preferred) involving large and complex data sets. Strong problem solving and critical thinking skills. Curious, fast learning capability and team player attitude is a must. Ability to communicate clearly and effectively. Demonstrated expertise through blogposts, research, participation in competitions, speaking opportunities, patents and paper publications. Most importantly - ability to identify and translate theories into real applications to solve practical problems. Preferred Skills: Good to have: Knowledge and hands-on data engineering or model deployment Experience in Data Science in either of Credit Risk, Pricing Modelling and Monitoring, Sales and Marketing, Campaign Analytics, Ecommerce Retail or banking products for retail or business banking is preferred. Solid foundation of Statistics and core ML algorithms at a mathematical (under the hood) level. Education Qualifications : Bachelor’s degree in Engineering in Computer Science/Information Technology. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 25/06/2025 Show more Show less

Data Processing & Embeddings: Work with text, image, audio, and video data to create embeddings and preprocess inputs for AI models. Prompt Engineering & Optimization: Experiment with prompt engineering techniques to improve AI responses and outputs. API Integration: Utilize OpenAI, Azure OpenAI, Hugging Face, and other APIs to integrate AI models into applications. Model Development & Fine-Tuning: Assist in training, fine-tuning, and deploying Generative AI models (GPT, Llama, Stable Diffusion, Claude etc.). AI Workflows & Pipelines: Contribute to building and optimizing AI workflows using Python, TensorFlow, PyTorch, Langchain or other frameworks. Cloud & Deployment: Deploy AI solutions on cloud platforms like Azure, AWS, or Google Cloud, leveraging serverless architectures and containerization (Docker, Kubernetes). AI Application Development: Collaborate with developers to build AI-powered applications using frameworks like Streamlit, Flask, or FastAPI. Experimentation & Research: Stay updated on the latest advancements in Generative AI and explore new use cases. Show more Show less

Designation : Data Scientist Experience : 3-8 Years Location : Chennai Job Description We are seeking a skilled Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. Key Responsibilities Data Collection & Preprocessing : Gather, clean, and preprocess structured and unstructured data from various sources to ensure high-quality datasets for analysis. Model Development : Design, develop, and deploy predictive models and machine learning algorithms to address business challenges. Data Analysis : Conduct exploratory data analysis to identify trends, patterns, and anomalies, providing insights to inform strategic decisions. Visualization & Reporting : Create compelling data visualizations and reports to effectively communicate findings to both technical and non-technical stakeholders. Collaboration : Work closely with cross-functional teams, including engineering and product development, to integrate data-driven solutions into business processes. Required Skills & Qualifications Technical Proficiency : Strong programming skills in Python or R; experience with SQL for data querying. Machine Learning Expertise : Solid understanding of machine learning algorithms and frameworks; experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Statistical Analysis : Strong foundation in statistics and data analysis techniques. Data Visualization : Proficiency in tools like Tableau, Power BI, or Matplotlib for creating insightful visualizations. Preferred Qualifications Big Data Technologies : Familiarity with big data platforms like Hadoop or Spark. Cloud Platforms : Experience with cloud services such as AWS, Azure, or Google Cloud. Business Acumen : Ability to translate complex data findings into actionable business strategies. (ref:hirist.tech) Show more Show less