Role: Drupal Developer Location: Juhi Nagar, Navi Mumbai (Work from Office – Alternate Saturdays will be working) Experience: 4+ years Joining: Immediate Joiners Only Work Mode: This is a Work from Office role. Work Schedule: Alternate Saturdays will be working. About company: It is an innovative technology company focused on delivering robust web solutions. (Further company details would typically be inserted here once provided by the client.) We are looking for talented individuals to join our team and contribute to cutting-edge projects. The Opportunity: Drupal Developer We are seeking an experienced and highly skilled Drupal Developer to join our team. The ideal candidate will have a strong understanding of Drupal's architecture and a proven track record in developing custom modules, implementing sophisticated theming, and integrating with various APIs. This is a hands-on role for an immediate joiner who is passionate about building secure, scalable, and high-performance Drupal applications. Key Responsibilities Develop and maintain custom Drupal modules using Hooks, Plugin system, Form API, and Entity API. Implement and work with REST, JSON:API, and GraphQL within Drupal for seamless data exchange. Design and implement Drupal themes using Twig templating engine and preprocess functions to ensure a consistent and engaging user experience. Configure and manage user roles and access control to maintain application security and data integrity. Apply best practices in securing Drupal applications, identifying and mitigating potential vulnerabilities. Integrate Drupal with various third-party APIs and external systems. Collaborate with cross-functional teams to define, design, and ship new features. Contribute to all phases of the development lifecycle, from concept to deployment and maintenance. Requirements Experience: 4+ years of professional experience in Drupal development. Custom Module Development: Strong understanding and hands-on experience with custom module development (Hooks, Plugin system, Form API, Entity API). API Integration (Drupal): Proficiency with REST / JSON:API / GraphQL in Drupal. Drupal Theming: Experience with Drupal theming using Twig and preprocess functions. Security & Access Control: Experience with user roles and access control, and a strong understanding of best practices in securing Drupal applications. Third-Party Integration: Familiarity with APIs and third-party integration. Joining: Immediate Joiners Only. Preferred Experience Experience with Rocket.Chat integration or other messaging tools. Exposure to Solr/Elasticsearch using Drupal Search API. Skills: rocket.chat integration,api integration,security,drupal development.,hooks,api integration (drupal),custom module development,json:api,form api,drupal theming,plugin system,third-party integration,graphql,drupal,rest,preprocess functions,entity api,twig,access control Show more Show less

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Role : Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job Title: Data Analysis Intern Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a detail-oriented and analytical Data Analysis Intern to join our remote data team. This internship is ideal for individuals looking to apply their skills in statistics, data handling, and business intelligence to real-world problems. You will gain hands-on experience with data tools and contribute to meaningful data-driven decision-making. Key Responsibilities: Collect, clean, and preprocess data from various sources Perform exploratory data analysis (EDA) and identify trends, patterns, and insights Create visualizations and dashboards to present findings using tools like Excel, Power BI, or Tableau Assist in building reports and communicating insights to different teams Document analytical processes and ensure data accuracy and consistency Collaborate with cross-functional teams to support ongoing data initiatives Qualifications: Bachelor’s degree (or final year student) in Data Science, Statistics, Computer Science, Economics, or related field Strong skills in Excel, SQL, and Python or R Understanding of basic statistical concepts and data analysis techniques Familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib Good problem-solving skills and attention to detail Ability to work independently in a remote environment Preferred Skills (Nice to Have): Experience working with large datasets or real-world business data Knowledge of A/B testing, correlation analysis, or regression techniques Exposure to data cleaning and automation tools Familiarity with Jupyter Notebooks, Google Sheets, or cloud data tools What We Offer: Monthly stipend of ₹25,000 100% remote internship Exposure to real-world business and product data Mentorship from experienced data analysts and domain experts Certificate of Completion Opportunity for full-time placement based on performance Show more Show less

Business Analyst The Business Analyst is responsible for providing day-to-day support for business strategy projects for the assigned functional business area. Under close supervision, this job supports business leaders by generating metrics and drafting reports to support business strategies. This job helps ensure that the assigned functional business area is optimized and cost effective. Key Responsibilities And Duties Generates metrics and drafts reports in assigned functional business area to inform decisions on tactical issues that impact the business. Supports implementation of policies and procedures in support of the business area strategy. Assists with process improvements with a focus on specific demographics and identifiers from the company’s databases. Analyzes and reports on area data (financial, headcount, etc.) and performance metrics. Supports business management projects by documenting risks, issues and action items. Participates in meeting planning in support of business projects and objectives. Educational Requirements University (Degree) Preferred Work Experience No Experience Required Physical Requirements Physical Requirements: Sedentary Work Career Level 5IC The Enterprise Data Steward supports the development, implementation and execution of business analytics initiatives and projects. This job supports the assessment, improvement, and governance of quality and ongoing fitness-for purpose of data, ensuring adequate data quality is maintained so that data can effectively support business processes. "*Ensures that data within the domain (inclusive of internal systems of record, 3rd party external data sources, analytic sources, and master data platforms) meets business requirements for both operational and analytical use cases of that data. A person with 3+ years of experience in a data analytics role with following abilities Ensures that data within the domain (inclusive of internal systems of record, 3rd party external data sources, analytic sources, and master data platforms) meets business requirements for both operational and analytical use cases of that data. Investigates and drives consistent metric definitions across the enterprise to develop one consistent view of the customer, user experience, and business performance. Ensures that data within the domain meets business requirements and data policy and data standards for data quality and ensures that data quality requirements are included in product/system development process, both at the source and throughout the data supply chain (acquire/curate/publish/consume), in partnership with IT and data engineering partners. Proficiency in tools :- Strong SQL, Snowflake Ability to clean and preprocess data, handling missing values, outliers, and ensuring data quality. Proficiency in working with databases, including data extraction, transformation, and loading (ETL) processes, good understanding of different Data modeling techniques. Knowledge of Python and Shell scripting. Proficiency in MS Excel and ability to apply formulas. Snowflake/Cloud Fundamental knowledge Related Skills Adaptability, Business Acumen, Collaboration, Communication, Consultative Communication, Detail-Oriented, Executive Presence, Financial Acumen, Messaging Effectiveness, Prioritizes Effectively, Problem Solving, Project Management, Relationship Management, Strategic Thinking _____________________________________________________________________________________________________ Company Overview TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space. Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity. We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status. Accessibility Support TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: Phone: (800) 842-2755 Email: accessibility.support@tiaa.org Privacy Notices For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here. For Applicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here. Show more Show less

Job Req Number: 94284 Time Type: Full Time Job Description Lead Logistics IT | IT Specialist Seniority Level Junior IT Specialist / IT Specialist Industry Logistics & Supply Chain Employment Type Full-time Job Function Information Technology Job Description: Essential Responsibilities: Collaborate with geographically distributed teams. Design, develop, and deploy machine learning models to solve complex business problems. Develop, test, and deploy RPA bots following DSV internal governance. Implement AI algorithms for predictive analytics and natural language processing (NLP). Train, fine-tune, and evaluate machine learning models for accuracy and performance. Work with data engineers to gather, preprocess, and clean data for model training. Automate business processes across various domains to improve efficiency. Identify automation opportunities and requirements in collaboration with different stakeholders. Communicate technical solutions effectively to non-technical team members. Function / Market & Industry Knowledge / Business Acumen / Process working Understand the challenges faced within an IT organization of a large global company. Demonstrate competency in process and system design, delivery, requirements assessment, improvement, and business logic. Have a sound understanding of 3PL/4PL/LLP business processes and interdependencies (a plus). Technical Requirements: Strong knowledge of machine learning algorithms. Experience with ML/AI frameworks and RPA tools. Proficiency in programming languages such as Python, Java, or C#. Familiarity with data processing and analysis libraries. Experience with cloud platforms. Strong understanding of databases (SQL/NoSQL) and data integration techniques. Behavioral Competencies: Understanding of supply chain management principles (a bonus). Creativity and ability to develop innovative ideas and solutions. Ability to work in a diverse environment and culture. Self-motivated and autonomous, capable of moving forward successfully with minimal direction. Professional and effective in stressful situations. Education and Work Experience General degree with emphasis in IT, Engineering, Supply Chain Management or equivalent of +5 years relevant working experience. Language Skill Fluent in English, both spoken and written. Knowledge of other languages is an asset. DSV – Global Transport and Logistics DSV is a dynamic workplace that fosters inclusivity and diversity. We conduct our business with integrity, respecting different cultures and the dignity and rights of individuals. When you join DSV, you are working for one of the very best performing companies in the transport and logistics industry. You’ll join a talented team of approximately 75,000 employees in over 80 countries, working passionately to deliver great customer experiences and high-quality services. DSV aspires to lead the way towards a more sustainable future for our industry and are committed to trading on nature’s terms. We promote collaboration and transparency and strive to attract, motivate and retain talented people in a culture of respect. If you are driven, talented and wish to be part of a progressive and versatile organisation, we’ll support you and your need to achieve your potential and forward your career. Visit dsv.com and follow us on LinkedIn, Facebook and Twitter. 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: 28th May 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: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 28th May 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

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: 28th May 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 28th May 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

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 28th May 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

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 28th May 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

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: 28th May 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 28th May 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

Job Title: Machine Learning Engineer Location: Malaviya Nagar, Jaipur (On-site) Experience Required: 2 – 4 Years Industry: Blockchain Technology Employment Type: Full-Time About the Company: Our client is an innovative tech company specializing in cutting-edge blockchain solutions, working on decentralized applications, smart contracts, and fintech platforms. They're now expanding into AI/ML-driven blockchain analytics, fraud detection, and predictive systems and are looking for a skilled Machine Learning Engineer to join their growing team. Key Responsibilities: Design, develop, and deploy ML models to enhance blockchain data analysis, fraud detection, or smart contract optimization. Work with blockchain developers and data engineers to integrate ML solutions into decentralized systems. Preprocess large datasets from blockchain networks and external APIs. Conduct exploratory data analysis to derive meaningful insights and trends. Build and maintain scalable ML pipelines and model deployment workflows. Optimize models for performance, scalability, and accuracy in production environments. Research and evaluate new technologies in the intersection of AI/ML and blockchain. Required Skills: Solid understanding of core machine learning algorithms (supervised, unsupervised, NLP, etc.) Hands-on experience with Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Experience with REST APIs, data collection from APIs or databases. Good understanding of blockchain fundamentals and how decentralized systems work. Familiarity with blockchain analytics tools or platforms is a plus. Good to Have: Exposure to smart contracts and Ethereum/Solidity. Experience with graph-based ML (e.g., using blockchain transaction graphs). Knowledge of tools like Docker, Kubernetes, or cloud services (AWS/GCP/Azure). What We Offer: Opportunity to work on real-world blockchain + AI innovations. A collaborative team with a passion for decentralization and disruptive technologies. Competitive salary package and career growth in a fast-growing domain. To Apply: Send your updated resume to ridhamstaffing@gmail.com with the subject line: “ML Engineer – Blockchain | Jaipur” 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: 28th May 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 28th May 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

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: 28th May 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

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning Show more Show less

⚠️ Applications without a GitHub or Portfolio link in the resume will be automatically rejected. Please include it to be considered At NilAi, we’re building an AI-powered platform that helps hospitals (starting with the NHS) optimize energy and water consumption, reduce carbon emissions, and meet Net Zero goals—without any new hardware. We're looking for a passionate AI Intern to join our mission-driven team and help us shape the future of sustainable healthcare. 🌍 Company: NilAI 📍 Location: India (Remote) 💼 Position: AI Intern 💰 Stipend: ₹5,000/month Responsibilities Clean, preprocess, and analyze large datasets related to hospital energy usage, water consumption, and operational workflows. Develop and implement machine learning models (e.g., regression, time-series forecasting, anomaly detection) using Scikit-learn, TensorFlow/PyTorch to predict and optimize energy consumption. Explore the application of LLMs (Large Language Models) for automating reports or extracting insights from unstructured data (e.g., maintenance logs, audit reports). Create interactive dashboards and visualizations using Power BI or Tableau to communicate findings to stakeholders. Integrate open-source APIs (e.g., OpenAI API) for enhancing data processing or generating sustainability recommendations. Assist in deploying lightweight models or prototypes using Flask or Streamlit for internal testing. Collaborate with the team to refine AI-driven recommendations for reducing carbon emissions and improving resource efficiency. Take ownership of complex challenges, demonstrating a commitment to continuous learning and delivering innovative, scalable solutions. Required Skills & Qualifications - Pursuing or recently completed a degree in Data Science, Computer Science, Engineering, Statistics, or a related field. - Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn). - Familiarity with machine learning frameworks (TensorFlow/PyTorch) and model deployment. - Experience with data visualization tools (Power BI, Tableau) and storytelling with data. - Basic understanding of LLMs and API integrations (e.g., OpenAI, Hugging Face). - Exposure to time-series forecasting (e.g., Prophet, ARIMA) or anomaly detection techniques. - Experience with ETL pipelines (e.g., Apache Airflow, Alteryx, or custom Python scripts) and data warehousing concepts. - Knowledge of SQL for data querying and manipulation. - Ability to work with messy, real-world datasets and strong problem-solving skills. - Passion for sustainability, healthcare innovation, or energy efficiency is a plus! Nice-to-Have Skills Experience with cloud platforms (AWS, GCP) or big data tools. What You’ll Gain Hands-on experience with AI for sustainability in a high-impact startup. Mentorship from experienced data scientists and exposure to real-world energy challenges. Opportunity to contribute to a product that directly reduces carbon emissions and saves costs for hospitals. Flexible work environment and potential for future full-time roles. Please Note: Kindly attach your CV with portfolios for review. Let’s build something that matters. 🌍 #AIforGood #ClimateTech #HealthcareInnovation #NilAi Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less