495 Preprocess Jobs - Page 4

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience to join our Data and Analytics team in Gurgaon, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Metyis is growing! We are looking for a Data Science Associate with 3+ years of experience, to join our Data and Analytics team in Bangalore, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What you’ll bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Job Title: AI/ML Engineering Intern – Intern-to-Hire Location: Marathahalli, Bangalore Work Schedule: Monday to Saturday (Alternate Saturdays Off), 10:30 AM – 7:30 PM About the Role – Intern-to-Hire Opportunity We are looking for a high-potential AI/ML Engineering Intern who is passionate about open-source technologies and AI applications in the Banking, Financial Services, and Insurance (BFSI) domain. This is a 3 to 6-month internship with a structured path to full-time employment (CTC: ₹4.5 LPA) based on performance. This is an excellent opportunity for fresh graduates to gain hands-on experience with Large Language Models (LLMs), AI product development, and scalable machine learning solutions in a high-impact industry setting. Stipend & Conversion Path Internship Duration: 3 to 6 Months Stipend: ₹15,000 per month Post-Internship Conversion: Full-time role with CTC ₹4.5 LPA , based on successful completion and performance evaluation Key Responsibilities Assist in the development and fine-tuning of AI/ML solutions tailored for BFSI use cases Work with AI engineers, data scientists, and product teams to translate business problems into AI solutions Preprocess datasets, implement model workflows, and run performance evaluations Conduct research and experiments on LLM use cases (e.g., chatbots, document automation, fraud analytics) Document code, models, and experimental results clearly and consistently Stay updated with trends in AI, LLM frameworks, and open-source ecosystems (e.g., LangChain, Ollama) Eligibility & Requirements Bachelor's Degree (2023 or 2024 pass-out) in AI/ML Engineering , Computer Science, Data Science, or a related field Strong coding skills in Python (or Java) and understanding of machine learning concepts Exposure to ML frameworks like TensorFlow , PyTorch , or Hugging Face Transformers Familiarity with open-source LLM ecosystems and libraries (LangChain, Ollama, etc.) is a strong plus Good understanding of statistics, data structures, and model evaluation techniques Strong analytical mindset and self-learning ability Effective communication skills and the ability to collaborate in a team Interview Process (Intern-to-Hire Track) Technical Round – Evaluation of ML/LLM fundamentals and coding skills Product/Project Round – Understanding of BFSI use cases and solution approach HR & Communication Round – Evaluation of team fit and professional readiness Note: Use of AI agents or search tools during technical interviews is strictly prohibited . All coding tests will be monitored. Location & Work Mode On-site role at our office in Marathahalli, Bangalore Workdays: Monday to Saturday (Alternate Saturdays Off) Timings: 10:30 AM to 7:30 PM Why Join Us? Hands-on experience in developing real-world AI products Learn from experienced AI engineers and product leaders Clear path to full-time employment with long-term career potential in BFSI AI innovation Exposure to fast-evolving LLM and open-source tech stacks

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 23rd 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.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 23rd 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.

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: 23rd 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! 🚀

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently 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!

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: 23rd 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! 🚀

We're Hiring: Junior Research Fellow (JRF) 📍 Location: Division of Crop Protection, ICAR-Indian Sugarcane Research Institute, Lucknow 🧪 Project: “Development of a smartphone-based digital support system for the efficient monitoring of multiple diseases of sugarcane in India” 🕒 Duration: 1 year (extendable up to 3 years based on performance) 💼 Vacancy: 1 Position 💰 Stipend: ₹37,000 + HRA per month as per norms 🔍 Role Summary We’re looking for a motivated and skilled Junior Research Fellow to join our multidisciplinary research project focused on applying AI, mobile technologies, and deep learning to support disease monitoring in sugarcane. This role is an opportunity to contribute to meaningful agricultural innovation, collaborate in an interdisciplinary environment, and grow technically while creating real-world impact. Success in this role means being proactive, technically proficient, and committed to research excellence. Key Responsibilities Curate, label, and preprocess datasets related to sugarcane disease imaging. Develop and optimize deep learning models for disease classification and prediction. Collaborate in the design and testing of an interactive mobile application for field use. Document findings, maintain code repositories, and contribute to scientific publications. Coordinate with the team for data collection, model validation, and stakeholder engagement. 🎓 Qualifications Education: M.Sc./M.E./M.Tech. in Computer Science, Information Technology, AI/ML, Mathematics, Electronics, Bioinformatics, Biotechnology, or related disciplines. Preferred: Candidates with GATE/NET qualification. Skills Required: Python programming Deep learning frameworks (e.g., TensorFlow, PyTorch) Dataset preprocessing and annotation Mobile app development (Android preferred) Research writing and documentation Eligibility Age Limit: 21 to 35 years (relaxation as per Government rules) Terms: The position is purely temporary and contractual, governed by ICAR norms. How to Apply Shortlisted candidates will be contacted for an interview. Interested applicants should send their updated CVs and relevant documents to: 📨 Dr. Chandramani Raj Principal Investigator, Division of Crop Protection 📱 +91 9573811582 📧 Chandramaniiisr2021@gmail.com

Role Overview: We are looking for a technically strong AI/NLP Engineer to design and build scalable conversational AI systems using a layered, hybrid approach. You will develop classical ML and rule-based NLP pipelines for intent recognition, entity extraction, and dialogue management, and escalate to fine-tuning and integrating large language models (LLMs) like LLaMA when higher-level understanding or generation is required. Your work will enable efficient, maintainable, and cost-effective chatbot and AI applications by combining the best of traditional NLP/ML and state-of-the-art LLM capabilities. Key Responsibilities: • Design, develop, and optimize rule-based NLP and classical ML pipelines (intent classification, slot filling, pattern matching) for conversational AI. • Fine-tune and adapt large language models (e.g., LLaMA) using LoRA, PEFT, and instruction tuning for complex or ambiguous use cases. • Build and maintain retrieval-augmented generation (RAG) pipelines using vector search engines (FAISS, Pinecone). • Architect modular chatbot systems combining classical ML, rule-based, and LLM components for robust and scalable solutions. • Preprocess and curate datasets for both classical ML training and LLM fine-tuning. • Optimize GPU-based training workflows with tools like Hugging Face Accelerate, DeepSpeed, and manage distributed training. • Develop and execute evaluation metrics and testing protocols to assess both classical models and LLM outputs. • Collaborate with engineering teams to deploy conversational AI models into production systems. • Stay current with latest research and best practices in NLP, ML, and LLM fine-tuning. Required Skills & Experience: • 2 years experience with NLP, classical ML, and LLM fine-tuning. • Strong proficiency in classical ML algorithms (SVM, logistic regression, decision trees) and NLP techniques (regex, rule-based parsing, intent/entity extraction). • Hands-on experience fine-tuning large language models (LLaMA, GPT, Falcon) using LoRA, PEFT, or related methods. • Proficient with NLP and ML libraries: scikit-learn, spaCy, Hugging Face Transformers, NLTK. • Experience building retrieval-augmented generation pipelines with vector databases (FAISS, Pinecone). • Familiarity with distributed GPU training and memory optimization techniques. • Strong Python programming and software engineering skills. • Ability to design modular, maintainable ML/NLP systems combining different techniques. • Experience working in cross-functional teams and clearly communicating technical concepts

About You Are you passionate about leveraging artificial intelligence (AI) and machine learning (ML) to help drive product excellence? Do you want to work closely with our experienced team members on tasks ranging from data preprocessing to model development and deployment? Are you ready to gain hands-on experience in AI/ML technologies while working on real-world problems? Prescient is seeking highly motivated AI/ML interns to join our dynamic and growing team in Gurgaon. Do you possess: Knowledge of general AI/ML through coursework, internships or personal projects? Attention to detail, a learning mindset, efficient time-management skills, professionalism and a strong work ethic? If so, consider turning your knowledge and passion for AI/ML into a valuable career at Prescient. About InflexionRx ® (proprietary product of Prescient Healthcare Group) At Prescient, we constantly strive to evolve and maximise the value of intelligence. InflexionRx is our proprietary software platform designed to enhance how our clients interact with the insight we develop, helping them make quicker, more informed and better aligned decisions. About the Opportunity You will be part of a fast-growing PE-backed business that allows high-performing employees to make an impact and contribute to growing the business. You will have the chance to channel your experience into supporting the development of our enterprise software system. Reporting : You will report to a senior member of the software development team within Prescient’s India office Roles and Responsibilities Data Collection and Preprocessing: Collect, clean and preprocess data from various sources for use in ML models Perform exploratory data analysis to gain insights into the dataset and identify patterns Model Development: Assist in the development and implementation of ML algorithms and models Conduct experiments to fine-tune model parameters and optimise performance metrics Collaborate with team members to integrate ML solutions into existing systems Evaluation and Testing: Design and execute tests to evaluate the performance and robustness of ML models Analyse experimental results and provide insights to improve model accuracy and efficiency Required Experience and Skills: As an ideal candidate, you will have: One or more of the following educational degrees: bachelor’s/master’s degree in computer/data science or related field Strong programming skills in Python or any other object-oriented programming language Good to have: Knowledge of transformers, large language models and NLP techniques Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch and scikit-learn Understanding of data structures, algorithms and statistical concepts Knowledge of data manipulation and analysis using tools such as pandas and NumPy Ability to analyse and solve problems with attention to detail Effective communication and teamwork abilities What We Offer Opportunity to learn from experienced professionals and gain valuable industry insights Platform for accelerated professional development and growth with significant levels of on-the-job experience Potential for future full-time employment opportunities based on performance About Prescient Healthcare Group Prescient® is a pharma services firm specialising in dynamic decision support and product and portfolio strategy. We partner with our clients to turn science into value by helping them understand the potential of their molecules, shaping their strategic plans and allowing their decision making to be the biggest differentiating factor in the success of their products. When companies partner with Prescient, the molecules in their hands have a greater potential for success than the same science in the hands of their competitors. Founded in 2007, Prescient is a global firm with a footprint in ten cities across three continents. Our team of nearly 500 experts partners with 27 of the top 30 biopharmaceutical companies, the fastest-growing mid-caps and cutting-edge emerging biotechs, including some of the biggest and most innovative brands. More than 70% of our employees hold advanced life sciences degrees, and our teams deliver an impressive depth of therapeutic, clinical and commercial expertise. Prescient has been a portfolio company of Bridgepoint Development Capital since 2021 and Baird Capital since 2017. For more information, please visit: www.prescienthg.com. We are an equal opportunity employer and fully comply with applicable legislation in all of the geographies in which we operate. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, colour, religion, sex, national origin, age, physical or mental disability, genetic information or any other category protected by applicable national, federal, state or local laws.

We are looking for a passionate and curious Entry-Level AI & Machine Learning Engineer to join our innovative team. You will work on designing, developing, and deploying AI and ML models that drive intelligent features and automation across our products and services, with a focus on object detection, tracking, and reinforcement learning applications. Responsibilities Assist in developing machine learning models and algorithms for object detection, tracking, and reinforcement learning tasks. Analyze and preprocess large datasets, including annotated images and videos, for training and evaluation. Implement and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with software engineers and data scientists to integrate models into production systems. Participate in research and experimentation to improve model accuracy, efficiency, and robustness. Document processes and maintain reproducible workflows. Experience Level 0-2 years Requirements Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related field. Strong foundation in Python and C++ programming for AI/ML development. Basic understanding of machine learning algorithms and data structures. Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Knowledge of computer vision techniques, especially object detection and tracking algorithms (e.g., YOLO, SSD, SORT, Deep SORT). Basic understanding of reinforcement learning concepts and algorithms. Knowledge of data preprocessing, feature engineering, and model evaluation techniques. Analytical mindset with strong problem-solving skills. Eagerness to learn and adapt in a fast-paced environment. Qualifications Internship or project experience in AI/ML, computer vision, or reinforcement learning. Understanding of deep learning concepts and neural networks. Experience with cloud platforms (AWS, Azure, GCP) for ML deployment. Familiarity with NLP or other AI subfields is a plus.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 22nd 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.

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 22nd 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.

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions

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

We are looking for a highly skilled and experienced AI/ML Developer with 45 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. Develop And Implement AI/ML Models The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine Responsibilities : Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. Model Optimization And Evaluation Continuously improve existing models for performance, accuracy, and scalability. Data Preprocessing And Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpretability. Collaboration And Communication Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. Model Deployment And Monitoring Deploy models to production using MLOps practices and tools (e., MLflow, Docker, Kubernetes). Monitor live model performance, diagnose issues, and implement improvements as needed. Staying Current With AI/ML Advancements Stay informed of current research, tools, and trends in AI and machine learning. Evaluate and recommend emerging technologies to maintain innovation within the team. Code Reviews And Best Practices Participate in code reviews to ensure code quality, scalability, and adherence to best practices. Promote knowledge sharing and mentoring within the development Skills and Qualifications : Must have experience as a team lead. Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 45 years of experience in machine learning, artificial intelligence, or applied data science roles. Strong programming skills in Python (preferred) and/or R. Proficiency in ML libraries and frameworks, including : scikit-learn XGBoost, LightGBM TensorFlow or Keras PyTorch Skilled in data preprocessing and feature engineering, using : pandas, numpy, sklearn. preprocessing Practical experience in deploying ML models into production environments using REST APIs and containers. Familiarity with version control systems (e., Git) and containerization tools (e., Docker). Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. Understanding of software development methodologies, especially Agile/Scrum. Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications (ref:hirist.tech)

About The Role We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Technical Skills Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following : Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments. Nice To Have Object Oriented Programming. Familiarity with NLP, or time series analysis. Exposure to deep learning models (RNN, LSTM) and working with GPUs. (ref:hirist.tech)

Selected Intern's Day-to-day Responsibilities Include System Design: Design and architect AI systems and models that address specific business needs or problems, including defining technical requirements and selecting appropriate technologies. Model Development: Develop and train machine learning and deep learning models using large datasets to perform tasks such as classification, regression, and natural language processing. Algorithm Selection: Choose and implement suitable algorithms and techniques for specific AI tasks, such as supervised learning, unsupervised learning, reinforcement learning, or neural networks. Data Preparation: Collect, clean, preprocess, and analyze data to ensure that it is suitable for training AI models. This may involve data augmentation, feature selection, and addressing data imbalances. Performance Evaluation: Assess the performance of AI models using metrics such as accuracy, precision, recall, and F1 score. Optimize models to improve performance and generalization. Deployment and Integration: Deploy AI models into production environments and integrate them with existing systems, ensuring they operate efficiently and effectively in real-world scenarios. Scalability and Optimization: Optimize AI models and systems for scalability and efficiency, addressing issues such as computational resource usage and response time. Collaboration: Work with cross-functional teams, including data scientists, software engineers, product managers, and domain experts, to understand requirements and deliver AI solutions. Research and Development: Stay updated with the latest advancements in AI and machine learning research, incorporating new techniques and tools into projects as appropriate. About Company: At Tax-O-Smart, we develop highly innovative and creative products and services that provide total tax and accounting solutions to all kinds of business structures.

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

About AiSensy AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp. Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more High Impact as Businesses drive 25-80% Revenues using AiSensy Platform Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors About the Role We are seeking a highly skilled and innovative AI/ML Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. Key Responsibilities AI Model Development Design, develop, and optimize AI solutions, including LLMs , RAG architectures , and Graph-based RAG systems , tailored to specific business needs. Develop and fine-tune models for tasks such as Natural Language Processing (NLP) , Computer Vision , and Reinforcement Learning (RL) . Prompt Engineering and AI Agents Work with prompt optimization to enhance LLM-based responses for specific use cases. Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention. Data Processing and Management Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation. Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems. Algorithm Selection and Optimization Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements. Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy. Deployment and Integration Deploy AI/ML models in production-grade environments , ensuring scalability, reliability, and seamless integration with existing systems. Implement model monitoring pipelines to ensure performance consistency over time. Research and Development Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures , diffusion models , and multi-modal AI . Experiment with emerging tools like LangChain , Hugging Face , and OpenAI APIs to innovate solutions. Collaboration and Knowledge Sharing Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions. Document workflows, processes, and findings to enable knowledge sharing and continuity across teams. Required Qualifications Education Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field. Experience Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions. Technical Proficiency Proficiency in Python and AI/ML frameworks like TensorFlow , PyTorch , scikit-learn , or Keras . Experience working with LLMs , transformers , and generative AI tools . Familiarity with cloud platforms such as AWS , Google Cloud , or Azure , including AI-focused services like SageMaker and Vertex AI. Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems. Analytical Expertise Strong understanding of advanced statistical methods , mathematical concepts , and probabilistic models . Ability to analyze and interpret data for actionable insights and model improvements. Soft Skills Exceptional problem-solving and critical-thinking abilities. Strong communication skills to effectively collaborate with cross-functional teams. Adaptability to a fast-paced, innovation-driven environment. Preferred Qualifications Hands-on experience with LangChain , Hugging Face Transformers , or OpenAI API integrations . Expertise in specialized AI domains like multi-modal learning, conversational AI , and prompt engineering . Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals. Familiarity with deploying AI Agents in production systems.

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: 22nd 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! 🚀

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions