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

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: Technical Authority In this role, you will have the opportunity to support engineering activities in all types of project sizes and complexities, under the supervision of senior engineers. Each day, you will complete the tasks cost-effectively and in accordance with contract specifications, quality standards, safety requirements, and cybersecurity policies and standards. You will also showcase your expertise by collecting data and supporting production of the engineering design. The work model for the role is: L1-Onsite This role is contributing to the Process Automation Business in Energy Industries in Bangalore, india You will be mainly accountable for: Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns. Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems. Evaluate the performance of machine learning models and fine-tune them for optimal results. Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders. Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes. Work with data engineers to integrate, transform, and store data from various sources. Qualifications for the role Engineering graduate with exposure to Data science from a reputed institution 2+ Years of experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction. Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have. Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams. More about us The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

Hi, Greeting from Skilldemand!!! We are looking for Senior ML/AI Developer for onsite location Hyderabad with 5 + years of experience in ML/AI. Please refer satyanarayanad@skilldemand.com if some one is looking for same Please find the below the JD for Read reference. Job Summary We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Roles & Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science . 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes . Proven work with NLP , CNNs , LLMs , and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Regards, Satyanarayana Dude Job Type: Full-time Pay: ₹640,654.61 - ₹2,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Night shift Location: Hyderabad, Telangana (Required) Shift availability: Night Shift (Required) Work Location: In person Speak with the employer +91 9849992568

Job Summary : As an AI Analyst, you will be responsible for analysing complex data sets, developing algorithms, and implementing AI models to solve business problems and improve decision-making processes. You will work closely with cross-functional teams to identify opportunities for AI applications, interpret results, and communicate findings to stakeholders. Key Responsibilities: Data Analysis: Collect, clean, and preprocess large data sets from various sources. Conduct exploratory data analysis to identify trends, patterns, and anomalies. Model Development: Develop, train, and validate machine learning models tailored to specific business needs. Utilize algorithms and statistical techniques to enhance model performance. Collaboration : Work closely with clients team to define AI project objectives and scope. Collaborate on the integration of AI models into existing systems and workflows. Reporting and Visualization: Create dashboards and visualizations to communicate insights derived from data analysis and model results. Present findings and recommendations to non-technical stakeholders in a clear and effective manner. Continuous Improvement: Stay up-to-date with the latest advancements in AI and machine learning technologies. Identify opportunities for process improvements and contribute to the development of best practices. Qualifications: 1. Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is a plus. 2. Experience : 1 to 3 years ( AI work experience in real time projects is mandatory. Intern experience will not be considered) 2. Proven experience in data analysis, statistical modeling, and machine learning. 3. Proficiency in programming languages such as Python and experience with frameworks like TensorFlow 4. Strong understanding of algorithms, data structures, and software engineering principles. 5. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). 6. Ability to communicate complex technical concepts to non-technical audiences effectively. 7. Strong analytical and problem-solving skills. 8. Familiarity with cloud platforms and exposure to AWS Sage maker is a key requirement. Preferred Skills: 1. Experience with natural language processing (NLP), computer vision, reinforced learning RL. 2. Understanding of ethical considerations in AI and machine learning. Job Type: Full-time Pay: ₹200,000.00 - ₹400,000.00 per year Benefits: Health insurance Schedule: Day shift Work Location: In person

About the Role We are seeking a passionate and skilled AI Engineer with 2 to 5 years of hands-on experience to join our team. You will be responsible for designing, developing, and deploying machine learning and AI-based solutions that drive value across our products and services. If you have a strong foundation in AI/ML techniques and a desire to build impactful systems at scale, we’d love to connect. Key Responsibilities Design, build, and deploy AI/ML models to solve business problems. Work with data scientists, engineers, and product managers to translate requirements into scalable AI solutions. Preprocess and analyze large datasets to extract meaningful insights. Optimize and fine-tune models for performance, accuracy, and scalability. Stay up to date with the latest AI/ML research and incorporate best practices into development. Collaborate in code reviews, model validation, and documentation efforts. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2–5 years of experience in building and deploying ML/AI models. Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn, etc.). Proficiency in data handling libraries like Pandas and NumPy. Experience with NLP, Computer Vision, or Predictive Analytics is a plus. Familiarity with ML lifecycle tools such as MLflow, Airflow, or similar. Experience with cloud platforms (AWS/GCP/Azure) and model deployment practices. Understanding of software engineering best practices including version control, CI/CD, and testing. Good to have Contributions to open-source AI/ML projects or publications in the field. Experience with databases including vector databases (e.g., Qdrant, Chroma, Pinecone) and traditional databases (e.g., PostgreSQL, MongoDB) Working with RESTful APIs for backend service integrations.

Who are we: Turbostart is not just a startup fund and accelerator — we are a catalyst for builders and a powerhouse of innovation. Our mission is to propel early-stage startups into the future by providing unparalleled support in technology, marketing, strategy, and beyond. We're in the business of building tomorrow's leaders — today. After 5 years and 5 funds, we have supported over 50 startups spanning sectors, stages, and geographies — and this is just the beginning! Turbostart spans India, the Middle East, the US, and Singapore — giving you the opportunity to gain exposure and see the impact of your work ripple across regions. Turbostart has also launched 5 Centers of Excellence across Tech, Marketing, Sales, UI/UX, and Investment Banking to support the growth of our startup network. Know more about us: https://turbostart.co Turbostart Technology Development Centre (T2C) is a leading Center of Excellence within the Turbostart ecosystem. T2C plays a pivotal role by providing cutting-edge technology solutions and expertise to our portfolio companies and by building new-age software products from the ground up. Know more about us: https://tsquaredc.com What we are looking for: Role: AI Engineer We are looking for a dynamic and skilled AI Engineer with 2+ years of experience in designing, developing, and deploying machine learning solutions. You’ll work across data-rich problem statements, collaborating closely with product and engineering teams to build intelligent systems that scale. Location: Kolkata, West Bengal, India Experience Required: 2–4 years of hands-on experience in AI/ML engineering or applied data science. What you’ll do: Design and implement cutting-edge machine learning and deep learning models for various use cases, with a strong focus on conversational AI (voice agents, chatbots), natural language understanding and generation, and generative media (images, video). Work with large datasets to preprocess, clean, and extract insights, including diverse modalities such as audio, visual, and textual data for advanced AI applications. Build and maintain robust data pipelines and model-serving frameworks, ensuring scalable and real-time deployment for conversational agents and high-throughput generative services. Collaborate with product managers and developers to integrate sophisticated ML models into scalable systems, such as voice platforms, intelligent chatbot frameworks, and content creation pipelines. Optimize model performance through hyperparameter tuning and continuous retraining, applying domain-specific evaluation metrics for conversational fluency, image realism, video quality, and natural language understanding. Conduct in-depth research on new AI technologies and assess their feasibility for implementation, with a particular emphasis on state-of-the-art Large Language Models (LLMs), multimodal AI, speech synthesis, generative adversarial networks (GANs), and diffusion models. Ensure model explainability, accuracy, and fairness in deployment environments, paying close attention to potential biases in generative content, conversational interactions, and ethical AI principles. Write clean, reusable code and maintain proper documentation of experiments and model versions, especially for iterative development in generative AI and complex conversational flows Our ideal candidate: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Extensive experience with model development, training, validation, and deployment in production environments. Familiarity with REST APIs and integrating ML models with web services or applications. Strong understanding and hands-on experience with generative AI models (GANs, VAEs, Diffusion Models). Experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG). Proficiency in Natural Language Processing (NLP), including NLU, NLG, intent recognition, entity extraction, and dialogue management. Hands-on experience with speech technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). Knowledge of computer vision techniques like image/video processing, object detection, and segmentation, especially for generative media. Familiarity with tools and APIs for conversational and generative AI (e.g., Vapi, Retell, Ultravox, 11 Labs). Experience working with LLM/multimodal APIs such as OpenAI (GPT, DALL-E, Whisper), Claude API, and Gemini API. Exposure to video generation tools like Veo2 or similar platforms. Experience using model tracking and visualization tools like Jupyter, MLflow, or TensorBoard. Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker. Understanding of key AI performance metrics including F1-score, AUC-ROC, IS, FID, BLEU, ROUGE, WER, and others relevant to different model types. Strong problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, agile environment. Why join us Work on cutting-edge projects with startups across multiple industries. Be at the forefront of building next-gen tech products in emerging sectors. Work in a high-autonomy environment that values speed, experimentation, and innovation. Collaborate with cross-functional experts across engineering, design, product, and strategy.

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA) Min Experience: 3 years Location: Bengaluru JobType: full-time We are seeking a highly motivated and results-driven Data Scientist with 3 to 6 years of experience to join our growing data science team. In this role, you will work at the intersection of business and technology, transforming raw data into actionable insights and intelligent models that drive strategic decision-making. Your deep understanding of machine learning algorithms, strong command over Python, and proficiency in SQL will be critical to solving complex business problems and enabling data-driven innovation across the organization. Requirements Key Responsibilities: Develop, implement, and optimize machine learning models to solve real-world business problems such as customer segmentation, recommendation systems, predictive analytics, churn prediction, and more. Translate business requirements into analytical models and data products that align with company goals. Clean, preprocess, and manipulate large datasets from various structured and unstructured sources using Python and SQL. Build data pipelines and automate data workflows for scalable model deployment and monitoring. Collaborate closely with cross-functional teams including data engineering, product, marketing, and operations to define problem statements, prioritize tasks, and deliver solutions. Present findings, models, and recommendations to both technical and non-technical stakeholders through clear visualizations and storytelling. Continuously research and stay updated on the latest trends in machine learning, statistical modeling, and data science techniques to apply best practices and enhance model performance. Ensure the reliability, accuracy, and explainability of models, and participate in code reviews, model validation, and documentation. Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. 3 to 6 years of hands-on experience in data science or machine learning roles. Strong proficiency in Python and its data science libraries (such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow or PyTorch). Solid experience with SQL for data querying, manipulation, and aggregation across large datasets. Demonstrated ability to build and deploy end-to-end machine learning models in production environments. Strong understanding of statistical analysis, data modeling, and algorithm design. Experience working with large-scale datasets, preferably in cloud environments (AWS, GCP, or Azure). Familiarity with tools like Jupyter Notebooks, Git, and CI/CD pipelines is a plus. Excellent problem-solving, critical thinking, and communication skills. Ability to work independently in a fast-paced, dynamic environment while collaborating effectively within a team

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Developer and collaborate with forward-thinking startups to build intelligent systems, automate workflows, and integrate machine learning into real-world applications. You’ll work on everything from model development to deployment, with the freedom to structure your engagements as you choose. Plus, enjoy the flexibility to work remotely and take on projects that align with your passion and expertise. Role Overview As an AI Developer, you will: Build Intelligent Systems: Design and implement AI/ML models for various use cases including classification, recommendation, NLP, and computer vision. Develop & Deploy Models: Train, evaluate, and deploy models into production environments. Collaborate Across Teams: Work with product managers, engineers, and business stakeholders to integrate AI into end-user applications. What You’ll Do AI Model Development: Design, train, and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Work on use cases across NLP, computer vision, predictive analytics, and generative AI. End-to-End AI Pipeline: Preprocess data, build pipelines, and manage model lifecycle (training, evaluation, deployment). Deploy models via APIs or integrate them with backend systems or automation tools. Technical Requirements & Skills Experience: 5+ years in AI/ML development. Programming Languages: Proficient in Python (preferred), Java, or C++. Frameworks: Hands-on experience with TensorFlow, PyTorch, Keras, or Scikit-learn. Concepts: Strong understanding of algorithms, data structures, and core AI/ML concepts. Data: Experience with data wrangling, feature engineering, and working with large datasets. Bonus: Familiarity with LLM APIs (OpenAI, Claude, Gemini) or tools like LangChain, Hugging Face Transformers. What We’re Looking For A technically strong AI developer with a track record of building and deploying machine learning solutions. A creative problem-solver who enjoys working independently and collaboratively. A freelancer who thrives in fast-paced environments and can drive AI innovation from concept to implementation. Why Join Us? Immediate Impact: Work on cutting-edge AI projects that solve real business problems. Remote & Flexible: Choose when and how you work—hourly or project-based. Future Opportunities: BeGig will continue matching you with AI and ML roles that suit your expertise. Innovative Work: Partner with startups building the next wave of AI-driven products. Ready to take the next step? Apply now to become a key AI Developer for our client and a valued member of the BeGig network!

Hi, Greeting from Skilldemand!!! We are looking for Senior ML/AI Developer for onsite location Hyderabad with 5 + years of experience in ML/AI. Please refer satyanarayanad@skilldemand.com if some one is looking for same Please find the below the JD for Read reference. Job Summary We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Roles & Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science . 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes . Proven work with NLP , CNNs , LLMs , and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Regards, Satyanarayana Dude Job Type: Full-time Pay: ₹640,654.61 - ₹2,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Night shift Location: Hyderabad, Telangana (Required) Shift availability: Night Shift (Required) Work Location: In person Speak with the employer +91 9849992568

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 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: 3rd July 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! 🚀

Skills: Machine Learning, Deep Learning, Feature Engineering, Time Series Analysis, Model Deployment, Cloud Computing, Python, C++, Company Overview Innovative Talent Solutions is an IT services and consulting firm based in New Delhi, extending its services to the USA. We specialize in delivering tailored manpower solutions across industries, prioritizing integrity and efficiency. Our experienced team excels in sourcing skilled candidates and placing them in suitable roles, ensuring superior performance for our clients. Job Overview We are seeking a Mid-Level AI Engineer to join our client team KLA India Chennai . This is a full-time position within Innovative Talent Solutions. The ideal candidate should possess expertise in advanced AI methodologies and a passion for developing cutting-edge solutions. The role involves using artificial intelligence to drive innovation and efficiency for various projects and clients. Qualifications And Skills Proficiency in machine learning methodologies to develop predictive models and improve processes efficiently. Strong understanding and experience with deep learning architectures to solve complex problems in diverse domains. Expertise in feature engineering, enabling the transformation of raw data into meaningful features for model training. Capability to perform time series analysis for revealing trends, seasonal patterns, and forecasting future data values. Experience in model deployment, ensuring the smooth integration of developed models into production environments. Strong skills in cloud computing platforms such as AWS, Azure, or Google Cloud for implementing scalable AI solutions. Ability to work collaboratively in a team environment, contributing to the successful completion of AI projects. Excellent problem-solving skills, enabling identification, and resolution of challenges during the AI model development lifecycle. Roles And Responsibilities Design and develop machine learning models and algorithms to address specific client needs and industry issues. Collaborate with cross-functional teams to integrate advanced AI solutions into existing systems and processes. Analyze and preprocess large datasets to facilitate effective training and evaluation of AI models. Deploy and monitor machine learning models in production settings, ensuring optimal performance and functionality. Stay updated on emerging AI technologies and methodologies to continuously improve the company's AI capabilities. Document the development process, findings, and model performance for knowledge sharing and future reference. Provide technical support and troubleshooting assistance to clients, ensuring the smooth operation of deployed solutions. Participate in the creation and delivery of presentations and proposals to communicate AI capabilities and solutions to clients. Total experience not more than 9 years B.Tech/MSC: Minimum 4+ years or M.Tech/MS: Minimum 3 +years or Phd + 0 years( candidate MUST be from tier 1 college) Degree Only from Tier 1 College(IIT/IIIT/IISC/NIT/VIT) Or Tier 1 state Colleges (PSG/CEG) Candidates from product company only Min 4 Yrs Experience In The Below Skills Artificial Intelligence Machine learning Deep Learning 2 yrs exp in Computer vision/Image processing No job hoppers(candidate must have good stability- min 2 years in an organisation) No Poach - HCL (current company must not be HCL) Minimum Qualifications New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred) The ideal candidate will have a working knowledge of Machine Vision. Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc. Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation, Ability to formulate problems into mathematical equations. Relocation to Chennai is mandatory Job Description This position involves developing advanced image processing algorithms for the wafer inspection. Deep understanding and application knowledge on the machine learning and computer vision, familiar with major deep-learning architecture, like CNN, GAN, Transformer. Strong hands-on coding ability on either python or C++, experience with Linux is preferred. Familiarity with the major DL frameworks either TensorFlow or Py Torch Great teammate with excellent written and verbal communication skills. Experience of unsupervised machine learning, handling large data and anomaly detection is a bonus. Experience of deploying a ML/DL algorithm solution end-to-end is preferred.

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

Experience : 5.00 + years Salary : INR 2000000-3000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Chennai) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SOL-X) (*Note: This is a requirement for one of Uplers' client - SOL-X) What do you need for this opportunity? Must have skills required: Communication, ETL, Health domain, operational analytics., safety Domain, Data Analyst, Data Handeling, Metabase, NoSQL databases, Pandas/NumPy/scikit-learn, TensorFlow or PyTorch, Python, Tableau SOL-X is Looking for: About Company Data Analyst Job Description SOL-X is a Maritime Safety and Crew Wellbeing solution for a holistic crew well-being framework, empowering workers to use digital products that actively support the physical, mental, and emotional well-being. Through advanced analytics and behavioural modelling, SOL-X provides deep insights into how to improve operational safety and empower remote workers to manage their wellbeing. About Role We are looking for an experienced Data Analyst to lead our predictive analytics initiatives. You will be responsible for developing robust models and interactive dashboards to extract actionable insights from large, enterprise-level data sets. This role involves end-to-end data management—from collection and preprocessing to model development and deployment—using modern tools and technologies to support data-driven business decisions in a safety-critical domain. Responsibilities Data Acquisition & Preparation: Collect, preprocess, and clean large, complex datasets from multiple sources. Develop and manage robust data pipelines to ensure seamless data ingestion and quality. Model Development & Experimentation: Build, test, and implement predictive and explanatory models using machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Design and conduct experiments to validate models and continuously improve performance. Dashboard & Reporting: Develop interactive dashboards using visualization tools (e.g., Tableau, Metabase, Matplotlib, Seaborn) that enable stakeholders to make informed decisions. Prepare detailed reports and presentations to communicate insights, trends, and recommendations. Collaboration & Continuous Improvement: Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Stay up-to-date with emerging trends and technologies in data science and machine learning, integrating best practices into ongoing projects. Qualifications 5–7 years of experience in data collection, preprocessing, and analysis of large enterprise-level data sets. Proven expertise in statistical analysis, predictive modeling, and explanatory modeling techniques. Strong proficiency in Python and experience with libraries such as Pandas, NumPy, scikit-learn, and frameworks like TensorFlow or PyTorch. Extensive experience with data visualization tools such as Tableau, Metabase, Matplotlib, and Seaborn. Hands-on experience working with NoSQL databases. Demonstrated ability to extract meaningful insights from complex data sets and effectively communicate them to stakeholders. Nice To Have / Preferred Qualifications Experience with building ETL pipelines is a plus. Prior experience in data engineering and managing data pipelines. Background in safety or health analytics projects. Excellent communication skills and a collaborative mindset. If you’re passionate about leveraging data to drive operational excellence and support strategic decision- making, we’d love to hear from you. Join Sol-X and be part of a dynamic team committed to making a significant impact! Engagement Type: Direct hire on SOL-X Payroll Job Type: Permanent Location: Chennai - Complete Onsite Working time: 9:00 AM to 6:00 PM Interview Process - 3- 4 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, 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: 3rd July 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!

Job Title: Machine Learning (ML) Developer Company: MaMo Technolabs LLP Location: Vadodara, Gujarat (Onsite or Remote) Experience Required: 2+ Years Employment Type: Full-Time About Us: MaMo Technolabs LLP is a rapidly growing IT company delivering modern, intelligent, and scalable software solutions. We are expanding our AI/ML capabilities and are looking for a skilled and motivated Machine Learning Developer to join our team and help build smart data-driven products. Key Responsibilities: Design and develop machine learning models for real-world applications Preprocess and analyze structured and unstructured datasets Work on model training, validation, and performance optimization Collaborate with cross-functional teams to integrate ML solutions into web or mobile products Use ML frameworks like TensorFlow, PyTorch, or Scikit-learn Monitor and fine-tune deployed models Stay updated with the latest trends and research in AI/ML Required Skills: 2+ years of experience in ML development Strong knowledge of Python and ML libraries (TensorFlow, Keras, PyTorch, etc.) Experience with data processing tools like Pandas, NumPy Familiarity with APIs and model deployment techniques Solid understanding of algorithms, statistics, and data structures Nice to Have: Knowledge of NLP or Computer Vision Experience with cloud ML services (AWS, Azure, GCP) What We Offer: Remote flexibility or vibrant office culture (your choice!) Exciting AI/ML projects across various industries Supportive team and opportunities for continuous learning Send your Resume to hr@mamotechnolabs.com or +91 9325910095

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: 2nd July 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 are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What we're looking for: At least 3 years of experience in designing & building AI applications for customer and deploying them into production At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills. Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent. Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure. Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows Experience with AutoML and vision techniques. Master’s degree in statistics, machine learning or related fields.

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: 2nd July 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! 🚀

About Veersa Veersa Technologies is a US-based IT services and AI enablement company founded in 2020, with a global delivery center in Noida (Sector 142). Founded by industry leaders with an impressive 85% YoY growth. A profitable company since inception. Team strength : Almost 400 professionals and growing rapidly. Our Services Include Digital & Software Solutions : Product Development, Legacy Modernization, Support. Data Engineering & AI Analytics : Predictive Analytics, AI/ML Use Cases, Data Visualization. Tools & Accelerators : AI/ML-embedded tools that integrate with client systems. Tech Portfolio Assessment : TCO analysis, modernization roadmaps, etc. Technology Stack AI/ML, IoT, Blockchain, MEAN/MERN stack, Python, GoLang, RoR, Java Spring Boot. Node.js Databases : PostgreSQL, MySQL, MS SQL, Oracle. Cloud : AWS & Azure (Serverless Architecture). 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)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design and implement complex AI/ML models and algorithms Collaborate with data scientists to preprocess, analyze, and interpret large datasets Develop and maintain scalable and robust machine learning frameworks Integrate AI/ML solutions into products and develop new innovative features Perform model testing, validation, and optimization Deploy machine learning models into production environments Stay up-to-date with the latest advancements in AI/ML technologies and practices Mentor junior team members and provide technical guidance Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering with a focus on AI/ML Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Experience with data preprocessing and analysis Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) Hands-on technical skill Proven excellent problem-solving skills and the ability to think algorithmically Proven solid communication and teamwork abilities Skills Machine Learning Deep Learning TensorFlow PyTorch Python Java C++ Data Analysis Algorithm Design AWS Google Cloud Model Deployment Big Data Technologies Version Control (Git) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job Summary: We are seeking a Senior Data Scientist with expertise in Generative AI and Natural Language Processing (NLP) to join our dynamic team. The ideal candidate will have at least 2years of experience in applying advanced Data science techniques to solve complex problems and drive innovation. You will work on cutting-edge projects that leverage AI to enhance our products and services, collaborating with cross-functional teams to deliver impactful solutions. What You'll Be Working On: 1. Develop and implement state-of-the-art generative AI models, focusing on NLP applications. 2. Analyze and preprocess large datasets to extract meaningful insights and improve model performance. 3. Collaborate with product managers, engineers, and other stakeholders to define project requirements and deliverables. 4. Design and conduct experiments to validate models, analyze results, and refine algorithms. 5. Mentor junior data scientists and contribute to building a collaborative team culture. 6. Stay updated with the latest advancements in AI and NLP, applying best practices and innovative approaches to your work. 7. Communicate complex technical concepts to non-technical stakeholders effectively. 8. Strong Python skills and hands-on experience with LangChain, LangGraph, and OpenAI/Anthropic APIs Qualifications: 1. Minimum of 2years of experience in data science, with a strong focus on Generative AI and NLP. 2. Proficiency in programming languages such as Python, and experience with relevant libraries. 3. Strong understanding of machine learning algorithms, deep learning architectures, and NLP techniques. 4. Excellent problem-solving skills and a strong analytical mindset. 5. Ability to work independently and collaboratively in a fast-paced environment. 6. Strong communication skills, with the ability to convey complex ideas to diverse audiences. Send your resume to Vibha@xaigi.tech

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 1st July 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 Join us as a Data Science Intern and work on meaningful projects that turn data into actionable insights. You’ll collaborate with experienced data scientists and analysts to explore data, build dashboards, and apply statistical models to solve business problems. Key Responsibilities: Collect, clean, and preprocess structured and unstructured data. Perform exploratory data analysis (EDA) to uncover trends and patterns. Develop data visualizations using tools like Matplotlib, Seaborn, or Power BI. Build and validate statistical or predictive models using Python/R. Translate data findings into business recommendations. Work with large datasets using SQL and cloud-based platforms. Document workflows and present outcomes to stakeholders. Preferred Skills: Strong proficiency in Python and SQL Familiarity with libraries such as Pandas, NumPy, Scikit-learn, and Statsmodels Basic understanding of statistics, probability, and hypothesis testing Experience with data visualization tools (e.g., Tableau, Power BI, Plotly) Knowledge of version control systems like Git Benefits: Real-world data projects with measurable business value Guided mentorship and regular feedback sessions Exposure to analytics tools and industry practices Internship certificate and performance-based recommendation letter Possibility of pre-placement offer (PPO) Job Types: Part-time, Fresher, Internship Contract length: 3 months Pay: ₹12,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Schedule: Day shift Monday to Friday Morning shift Rotational shift Weekend availability Supplemental Pay: Performance bonus Work Location: In person