800 Preprocess Jobs - Page 22

Company Overview: BlackFrog Technologies, based in Manipal, is a technology startup specializing in medical devices. We are ISO 13485 certified and have developed patented systems that enhance immunization supply chains, ensuring the effective delivery of vaccines to remote areas in India and beyond. Requirements: ● Components soldering SMD, PTH and boards rework. ● Good knowledge of electronics components. ● Knowledge on manufacturing process. ● Basic Quality control methodologies. ● Knowledge of using Electronics tools and operations like multimeter and other workshop operations. ● Good communication skills. ● Understanding of electronics drawing. ● Basic MS Excel skills. Responsibilities : ● Performing assembly and disassembly tasks. ● Preprocess soldering and finish goods activity. ● Software upload and functional testing. ● Maintaining Quality of the outgoing product. Job Type: Full-time Pay: From ₹300,000.00 per year Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Ability to commute/relocate: Manipal, Karnataka: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Preferred) Work Location: In person

Job Responsibility: GEN AI is must Products.looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products. • Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs. • Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems. • Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality. • Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements. • Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders. Work experience background required: • Experience building software from the ground up in a corporate or startup environment. Essential skillsets required: • 3-6 years experience in software development • Educational Background: Strong computer science and Math/Statistics • Experience with Open Source LLM and Langchain Framework and and designing efficient prompt for LLMs. • Proven ability with NLP and text-based extraction techniques. • Experience in Generative AI technologies, such as diffusion and/or language models. • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud environment. • Experience with common data science toolkits, such as NumPy, Pandas etc • Proficiency in using query languages such as SQL • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Experience working with large data sets along with data modeling, language development, and database technologies • Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. • Excellent verbal and written communication skills Show more Show less

Experience: 5-6 years Key Responsibilities Process, analyze, and interpret time-series data from MEMS sensors (e.g., accelerometers, gyroscopes, pressure sensors). Develop and apply statistical methods to identify trends, anomalies, and key performance metrics. Compute and optimize KPIs related to sensor performance, reliability, and drift analysis. Utilize MATLAB toolboxes (e.g., Data Cleaner, Ground Truth Labeler) or Python libraries for data validation, annotation, and anomaly detection. Clean, preprocess, and visualize large datasets to uncover actionable insights. Collaborate with hardware engineers, software developers, and product owners to support end-to-end data workflows. Convert and format data into standardized schemas for use in data pipelines and simulations. Generate automated reports and build dashboards using Power BI or Tableau. Document methodologies, processes, and findings in clear and concise technical reports. Required Qualifications Proficiency in Python or MATLAB for data analysis, visualization, and reporting. Strong foundation in time-series analysis , signal processing, and statistical modeling (e.g., autocorrelation, moving averages, seasonal decomposition). Experience working with MEMS sensors and sensor data acquisition systems. Hands-on experience with pandas, NumPy, SciPy, scikit-learn, and matplotlib . Ability to develop automated KPI reports and interactive dashboards (Power BI or Tableau). Preferred Qualifications Prior experience with data from smartphones, hearables, or wearable devices . Advanced knowledge in MEMS sensor data wrangling techniques. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Exposure to real-time data streaming and processing frameworks/toolboxes. Show more Show less

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! Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 10th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 10th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 10th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 10th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 10th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 10th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Key Accountabilities JOB DESCRIPTION Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. Qualifications, Experience And Skills Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good To Have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. Show more Show less

Job Role: Data Scientist Job Description:  Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.  Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.  Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.  Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.  Ability to analyze and preprocess large datasets efficiently.  Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.  Excellent communication skills to articulate complex technical concepts effectively.  Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.  Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.  Extensive knowledge of image processing techniques, including segmentation and feature extraction.  Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.  Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.  Ability to process and analyze video data to derive meaningful insights and patterns.  Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.  Excellent understanding of computer vision principles and techniques.  Effective communication skills to collaborate with cross-functional teams and stakeholders.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient deep learning solutions for realworld applications would be advantageous. Job Type: Full-time Pay: From ₹180,000.00 per year Benefits: Provident Fund Schedule: Fixed shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 9th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 9th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 9th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 9th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Key Responsibilities: Develop and implement machine learning models and algorithms for various business use cases. Preprocess and analyze structured and unstructured data (text, image, video, etc.). Collaborate with cross-functional teams to integrate AI models into production systems. Conduct model validation, tuning, and performance evaluation. Stay up-to-date with the latest research and trends in AI and ML. Document processes and maintain clear version control using tools like Git. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field. 1–2 years of hands-on experience in machine learning, deep learning, or AI projects. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Understanding of REST APIs and deploying models via Flask/FastAPI or similar frameworks. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. Preferred Qualifications: Experience with NLP, Computer Vision, or Time Series forecasting. Knowledge of databases (SQL/NoSQL) and data pipelines. Contributions to open-source or AI/ML competitions (Kaggle, etc.). Familiarity with MLOps tools (e.g., MLflow, Docker, Kubernetes) is a bonus. Soft Skills: Strong analytical and problem-solving abilities. Effective communication and collaboration skills. Curious, self-driven, and eager to learn. What We Offer: Competitive salary and benefits. Mentorship and opportunities for skill development. A collaborative and dynamic work environment. Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

About the Role We are seeking a highly skilled and versatile Senior AI Engineer with over 5 years of hands-on experience to join our client’s team in Pune. This role focuses on designing, developing, and deploying cutting-edge AI and machine learning solutions for high-scale, high-concurrency applications where security, scalability, and performance are paramount. You will work closely with cross-functional teams, including data scientists, DevOps engineers, security specialists, and business stakeholders, to deliver robust AI solutions that drive measurable business impact in dynamic, large-scale environments. Key Responsibilities Architect, develop, and deploy advanced machine learning and deep learning models across domains like NLP, computer vision, predictive analytics, or reinforcement learning, ensuring scalability and performance under high-traffic conditions. Preprocess, clean, and analyze large-scale structured and unstructured datasets using advanced statistical, ML, and big data techniques. Collaborate with data engineering and DevOps teams to integrate AI/ML models into production-grade pipelines, ensuring seamless operation under high concurrency. Optimize models for latency, throughput, accuracy, and resource efficiency, leveraging distributed computing and parallel processing where necessary. Implement robust security measures, including data encryption, secure model deployment, and adherence to compliance standards (e.g., GDPR, CCPA). Partner with client-side technical teams to translate complex business requirements into scalable, secure AI-driven solutions. Stay at the forefront of AI/ML advancements, experimenting with emerging tools, frameworks, and techniques (e.g., generative AI, federated learning, or AutoML). Write clean, modular, and maintainable code, along with comprehensive documentation and reports for model explainability, reproducibility, and auditability. Proactively monitor and maintain deployed models, ensuring reliability and performance in production environments with millions of concurrent users. Required Qualifications Bachelor’s or master’s degree in computer science, Machine Learning, Data Science, or a related technical field. 3 to 5 years of experience building and deploying AI/ML models in production environments with high-scale traffic and concurrency. Advanced proficiency in Python and modern AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, and JAX. Hands-on expertise in at least two of the following domains: NLP, computer vision, time-series forecasting, or generative AI. Deep understanding of the end-to-end ML lifecycle, including data preprocessing, feature engineering, hyperparameter tuning, model evaluation, and deployment. Proven experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, or Azure ML). Strong knowledge of containerization (Docker, Kubernetes) and RESTful API development for secure and scalable model deployment. Familiarity with secure coding practices, data privacy regulations, and techniques for safeguarding AI systems against adversarial attacks. Preferred Skills Expertise in MLOps frameworks and tools such as MLflow, Kubeflow, or SageMaker for streamlined model lifecycle management. Hands-on experience with large language models (LLMs) or generative AI frameworks (e.g., Hugging Face Transformers, LangChain, or Llama). Proficiency in big data technologies and orchestration tools (e.g., Apache Spark, Airflow, or Kafka) for handling massive datasets and real-time pipelines. Experience with distributed training techniques (e.g., Horovod, Ray, or TensorFlow Distributed) for large-scale model development. Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible) for scalable and automated deployments. Familiarity with security frameworks and tools for AI systems, such as model hardening, differential privacy, or encrypted computation. Proven ability to work in global, client-facing roles, with strong communication skills to bridge technical and business teams. Show more Show less

Job Description Summary The Senior Software Engineering role within the Advanced Technology Organization (ATO) will focus on software development for AI/ML research and innovation projects. This position will utilize standard development methodologies, best practices, tools and proven processes to lead teams to deliver a quality software proof of concept on budget, within planned schedule. The position is responsible for driving the design and development efforts related to architecture, scalability, availability and performance in alignment with the innovation roadmap Job Description Roles and Responsibilities Subject matter expert in AI/ML methodologies & MLOps using Azure/AWS for Grid Control systems with a proven track record. Design, build, and deploy machine learning models for regression, classification, and other predictive analytics tasks using Python. Work on the development, fine-tuning, and deployment of large language models for various NLP tasks such as text classification and language understanding. Clean, preprocess, and transform data to make it suitable for machine learning models, including handling missing data, feature selection, and data augmentation. Evaluate models using appropriate metrics and fine-tune them for better accuracy, performance, and scalability. Collaborate with cross-functional teams including power system engineers, software engineers, and business stakeholders to understand requirements and deliver AI-driven solutions. Experience in agile methodologies such as SCRUM. Work with internal teams and customers to understand requirements & vision. Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse. Navigate through ambiguity and prioritizing conflicting asks & tasks. Expert level skills in design, architecture, and development, with an ability to take a deep dive in the implementation aspects if the situation demands. Be an expert in core data structures as well as algorithms and the ability to implement them. Education Qualification For Roles Outside USA Master’s degree in Computer Science/Data Analytics or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 5 years of experience Desired Characteristics Technical Expertise Quantifies effectiveness of design choices by gathering data. Drives accountability and adoption. Publishes guidance and documentation to promote adoption of design. Knowledgeable about AI/ML and MLOps development for the electric utility industry. Proven experience in developing and deploying machine learning models, specifically in regression and classification tasks. Experience working with large language models (LLMs) like GPT, BERT, et Proficient in Python and its machine learning libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Strong understanding of regression techniques and classification algorithms . Hands-on experience in implementing and deploying ML models using MLOps practices. Experience with natural language processing (NLP) techniques and tools for working with large language models Leadership Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome. Uses experts or other third parties to influence. Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning. Proactively identifies and removes project obstacles or barriers on behalf of the team. Able to navigate accountability in a matrixed organization. Communicates and demonstrates a shared sense of purpose. Learns from failure. Personal Attributes Able to effectively direct and mentor others in critical thinking skills. Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information. Influences and energizes other toward the common vision and goal. Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable. Innovates and integrates new processes and/or technology to significantly add value to GE. Identifies how the cost of change weighs against the benefits and advises accordingly. Additional Information Relocation Assistance Provided: Yes Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 8th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 8th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

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

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 8th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 8th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 8th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Title: Data Scientist – OpenCV Experience: 2–3 Years Location: Bangalore Notice Period: Immediate Joiners Only Job Overview We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment. Key Responsibilities Develop and implement computer vision solutions using OpenCV and Python. Work on tasks including object detection, recognition, tracking, and image/video enhancement. Clean, preprocess, and analyze large image and video datasets to extract actionable insights. Collaborate with senior data scientists and engineers to deploy models into production pipelines. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning. Prepare clear documentation for models, experiments, and technical processes. Required Skills Proficient in OpenCV and image/video processing techniques. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib. Solid understanding of basic machine learning and deep learning concepts. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus. Excellent analytical, problem-solving, and debugging skills. Effective communication and collaboration abilities. Preferred Qualifications Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field. Practical exposure through internships or academic projects in computer vision or image analysis. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage. What We Offer A dynamic and innovation-driven work culture. Guidance and mentorship from experienced data science professionals. The chance to work on impactful, cutting-edge projects in computer vision. Competitive compensation and employee benefits. Show more Show less

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Job Description Kenvue is currently recruiting for- Analyst, Data Science This position reports to the Manager, Data Science and is based at Bengaluru, India. Who We Are At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here . Role reports to- Manager, Data Science Location- Bengaluru, India Travel %- 10% What You Will Do As Analyst, Data Science, you will develop and implement advance analytics, optimization models, and machine learning solutions to solve complex Operations Research business problems. In this role, you will work closely with cross-functional teams to analyze large datasets, identify patterns, and generate insights that drive business value. Key Responsibilities Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks. Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, to solve complex supply chain problems Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems. Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes. Follow code version through bitbucket / GIT, documenting work on Confluence. Build APIs for seamless integration with application. Stay up to date on the latest developments in operations research, supply chain management, and optimization techniques. Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement. Required Qualifications What We Are Looking For Masters degree in Industrial Engineering, Operations Research or Management Science or related field 2 – 4 years of business experience At least 2 years of experience in Supply Chain Optimization Proficiency in mathematical modelling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms. Strong programming skills in languages such as Python with experience in optimization libraries (e.g., Gurobi, FICO) and data manipulation tools (e.g., pandas, NumPy). Experience with data analysis, statistical modelling, and visualization using tools like SQL, Streamlit Hands on python programmer with strong experience of OOPs Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks Desired Qualifications APICS certification – CPIM, CSCP Microsoft certification (e.g., Azure Fundamentals) Machine Learning certification Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability. Primary Location Asia Pacific-India-Karnataka-Bangalore Job Function Digital Product Development Job Qualifications Masters degree in Industrial Engineering, Operations Research or Management Science or related field Show more Show less

Required Qualifications:  Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.  +3 years of professional experience in AI/ML data engineering. Technical Skills:  Proficiency in programming languages such as Python and R.  Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).  Experience with conversational AI platforms (preferred: Oracle Digital Assistant).  Experience with data processing tools and platforms (e.g., Apache Spark, Hadoop etc..).  Familiarity with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models.  Experience with natural language processing (NLP) techniques and libraries (e.g., NLTK, SpaCy).  Understanding of deep learning architectures for NLP (e.g., transformers, BERT).  Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).  Knowledge of statistical analysis and data visualization using R-language. Soft Skills:  Strong analytical and problem-solving skills.  Excellent communication and teamwork abilities.  Eagerness to learn new technologies and methodologies. Key Responsibilities: 1. AI/ML Model Development: o Design, develop, and implement machine learning models to address complex business challenges. o Preprocess and analyze large datasets to extract valuable insights for model training. o Optimize model performance through hyperparameter tuning and algorithm selection. o Utilize R in conjunction with Python for a comprehensive data analysis toolkit. 2. Oracle Digital Assistant (ODA) Integration: o Develop and deploy intelligent conversational agents using Oracle Digital Assistant (ODA). o Integrate AI/ML models seamlessly with ODA to enhance the capabilities of chatbots and virtual assistants. o Continuously refine ODA solutions based on user feedback and performance metrics. o Leverage Oracle Cloud Infrastructure (OCI) for deploying and managing ODA solutions, ensuring scalability and reliability. 3. Data Engineering: o Build and maintain robust data pipelines to support AI/ML model training and deployment. o Implement data validation processes to ensure data quality and integrity. o Collaborate closely with data scientists and analysts to define data requirements and deliver actionable insights. 4. Collaboration and Communication: o Work effectively across functional teams, including data scientists, software engineers, and product managers. o Communicate technical concepts clearly to both technical and non-technical stakeholders. o Document development processes, models, and integrations for future reference. 5. Research and Innovation: o Stay abreast of the latest advancements in AI/ML, NLP, and conversational AI technologies. o Experiment with new algorithms and approaches to improve existing solutions. o Contribute to the development of best practices and standards for AI/ML engineering. 6. Documentation o Create and maintain comprehensive project documentation. o Document code and APIs to ensure they are understandable and usable by other developers. Job Type: Full-time Pay: ₹448,780.74 - ₹767,935.03 per year Schedule: Day shift Experience: Data Engineer: 2 years (Preferred) Work Location: In person

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