800 Preprocess Jobs - Page 23

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: 7th 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 7th 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 Description Job Summary: As a AI Developer at Emerson, you will be responsible for analyzing complex data sets to identify trends, develop predictive models, and deliver actionable insights. You will collaborate with multi-functional teams to comprehend business needs and provide data-driven solutions that improve decision-making and boost business growth In this Role, Your Responsibilities Will Be: Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights. Develop and implement predictive models and algorithms to solve business problems and improve processes. Develop visual representations and dashboards to clearly communicate findings and insights to collaborators. Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions. Clean and preprocess data to ensure accuracy and completeness for analysis. Prepare and present reports on data analysis, model performance, and important data to collaborators and management Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Stay updated with the latest industry trends and advancements in data science and machine learning techniques. Who You Are: You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach. For This Role, You Will Need: Bachelor's degree in computer science, Data Science, Statistics, or a related field or equivalent experience is preferred Total 10-12 years of industry experience More than 5 years of experience in a data science or analytics role, with a strong track record of building and deploying models. Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with NLP, NLG, and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy). Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Strong verbal and written communication skills, capable of explaining complex technical details to non-technical collaborators Preferred Qualifications that Set You Apart: Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are nice to have Possession of relevant certification/s in data science from reputed universities specializing in AI. Familiarity with cloud platforms, Microsoft Azure is preferred Ability to work in a fast-paced environment and handle various projects simultaneously. Strong analytical and fixing skills, with the ability to resolve issues related to model performance and infrastructure Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. 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: 7th 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 7th 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

Long Description Day-to-Day Responsibilities: Data Analysis Understand the issues the business is facing and identify relevant data sources to define the scope of the associated impacts. Collects, selects, and validates data relevant to the analysis. Extract and translate business data into actionable data. Analyze and validate heterogenous, possibly unstructured data masses, to extract useful knowledge to optimize the company’s offers, services, or processes. Analyze large, complex data sets to identify trends, patterns, and insights. Utilize insights to propose process and/or system changes to drive continual service improvements. Data Management Implement processes for acquiring and integrating data from various sources. Clean and preprocess data to prepare it for analysis. Assist in data reconciliation and validation checks across various systems. Coordinate with IT and other departments to implement data solutions. Comply with establishing and maintaining data governance policies and procedures. Complete end to end quality assurance activities to ensure reporting is accurate and aligns with established business definitions and objectives. Ensure periodic audits for reporting to maintain data integrity and validity. General Reporting Provide guidance to internal stakeholders on best practices for reporting. This includes source identification, report set up, and report maintenance in systems of record. Collaborate with business leaders to understand their data needs and provide analytical support for decision-making. Develop and maintain key performance indicators to track the Global Services program’s effectiveness. Complete regular analyses of key performance indicators to ensure performance demonstrates global best practices and standard procedures. Create and maintain advanced dashboards and reports using tools like Tableau, Power BI, or similar, to drive operational and business improvements. Develop and present insightful reports that highlight workflow status and value. Provide input and expertise regarding appropriate financial and operational KPIs/metrics to identify the most appropriate measures for Services reporting components. Present data findings to senior management and stakeholders in a clear and concise manner. Advanced Analytics Performs research, analyzes reports, and creates statistical models for presentation/review. Summarize findings and communicate results to partners. Develop and implement data models, algorithms, and statistical analyses to address business needs. Use statistical methods to interpret data and generate actionable insights. Integrate advanced analytics practices into reporting standards introduced to the business. Build and validate predictive models to forecast business outcomes and support strategic decision-making. Documentation Conduct data process mapping activities across various systems to drive continual service improvements and platform enhancements/business process improvements. Assist in documenting data lineage/data flows. Perform database structure research and create data mapping documents to understand relevant data elements along with their definitions and use. Coordinates and provides demos, training and knowledge transfer for any Services reporting solution that launches. IT Reporting Initiative Collate reporting requirements for reporting needs prior to submission to IT, organizing and identifying data sources and intended reporting outputs, for both internal and external stakeholders. Develop and present business case documentation and rationale for investments and value/impact of reporting initiatives via the IT Steering Committee. Ensure new reporting meets the pre-defined acceptance criteria to ensure that the expected business value/customer satisfaction outputs are achieved. Coordinates release planning, testing and implementation of reporting features and functionality with the IT team and LOB. Work cross-functionally to ensure that external customer reporting requirements are accepted by Marketing, Product, and other functional leads. Responsible for business stakeholder management, providing clear and consistent communication of all report development to the business, management, and technology team. Troubleshoot and resolve bugs/defects in Services reporting solutions, with the assistance of IT, as reported or observed by stakeholders. Special projects as required. Must Haves Proven ability to significantly contribute toward or lead operational initiatives with a results-oriented approach. Ability to build internal relationships. Exceptional attention to detail and structured problem-solving skills. Excellent presentation skills and comfortable sharing thought leadership with Executive stakeholders. Proficiency in various business productivity systems. Ability to balance multiple tasks with changing priorities. Ability to negotiate conflict and maintain constructive working relationships with people at all levels of the organization. Self-starter capable of working independently and ensuring deadlines are met. Excellent communication and interpersonal skills, both verbal and written. Skilled with Microsoft Office (Word, PowerPoint, Outlook, Excel etc). Proficiency with SQL and with reporting and visualization tools such as SQL Server Reporting Services, DAX, Visual Studio, Report Builder, Qlik, and Power BI. Extensive experience with ITSM platforms and integrated reporting (e.g. ServiceNow) Understanding of data languages such as DAX, VBA, MDX, R, Python, and Power Query. Knowledge of industry-specific metrics and reporting standards in both financial and operational domains (e.g. ASA, MTTR, NPV, ROI, Cost Ratios). Understanding of relational databases and experience with database management systems. Proven experience in advanced analytics, data mining, predictive modeling. and data processing techniques. Demonstrated success in setting up reporting standards, as well as strategies for data upkeep and collection. Nice-to-Haves Familiarity with cloud platforms (e.g., AWS, Azure) is a plus. A minimum of a 4-year degree or comparable industry experience is required. Degree in quantitative field (e.g. Statistics, Mathematics, or Computer Science) is preferred 4+ years in a BI, data/business analyst, or reporting centric role preferred. Involvement in a Services role within the IT/UCC industry Familiarity with Agile development practices Demonstrated experience understanding and executing technical strategies and processes, resulting in exceeding business targets. Certifications: Data analysis or business intelligence tools (e.g. Microsoft Certified: Power BI Data Analyst Associate) Process and Quality Improvement (e.g. Six Sigma, Lean, Quality) ITIL Show more Show less

Job Description: Data Scientist (Intern) Position Overview: As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to provide valuable insights and solve challenging business problems. You will work closely with cross-functional teams to gather data, build predictive models, develop algorithms, and deliver data-driven solutions. This position is ideal for a fresher who possesses strong analytical skills, programming expertise, and a passion for working with data. Key Responsibilities: Data Collection and Preprocessing: Collect, clean, and preprocess large volumes of structured and unstructured data from various sources. Conduct data quality assessments and implement data cleaning techniques to ensure accuracy and reliability. Exploratory Data Analysis (EDA): Perform exploratory data analysis to understand the characteristics of the data and identify patterns, trends, and outliers. Utilize statistical techniques and visualizations to gain insights from the data. Statistical Modeling and Machine Learning: Develop predictive models and algorithms using statistical techniques and machine learning algorithms. Apply regression analysis, classification, clustering, time series analysis, and other relevant methods to solve business problems. Evaluate model performance, fine-tune parameters, and optimize models for better accuracy. Feature Engineering: Identify and engineer relevant features from raw data to enhance model performance. Conduct feature selection techniques to improve model interpretability and efficiency. Model Deployment and Evaluation: Collaborate with software engineers to deploy models into production systems. Monitor model performance, diagnose issues, and implement improvements as needed. Data Visualization and Reporting: Communicate findings and insights effectively through clear and concise data visualizations, reports, and presentations. Present complex data-driven concepts to non-technical stakeholders in a way that is easy to understand. Continuous Learning and Research: Stay up-to-date with the latest advancements in data science, machine learning, and related fields. Conduct research and experimentation to explore new methodologies and approaches. Show more Show less

Role - Computer Vision Engineer Experience - 2+ years Location - Indore (Onsite) Responsibilities: Develop, implement, and deploy machine learning models to address specific business challenges. Collaborate with cross-functional teams to gather and analyze data, identify opportunities for leveraging machine learning, and define project goals. Clean, preprocess, and analyze large datasets to extract meaningful insights and features for model training. Stay abreast of the latest developments in machine learning and apply innovative solutions to enhance model performance. Work closely with software engineers to integrate machine learning models into production systems. Conduct thorough testing and validation of models to ensure accuracy, robustness, and scalability. Collaborate with stakeholders to understand feedback and iterate on models for continuous improvement. Document and communicate machine learning solutions effectively to both technical and non-technical audiences. Keep up-to-date with industry best practices and contribute to a culture of learning and knowledge sharing within the team. Qualifications: Bachelor's/Master’s/Ph.D. in Computer Science, Machine Learning, Data Science, or related field. Proven experience working on machine learning projects, with a focus on model development, deployment, and optimization. Proficiency in programming languages such as Python, R, or Java, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms, statistics, and data structures. Experience with data preprocessing, feature engineering, and model evaluation. Solid understanding of software development practices and version control systems. Excellent problem-solving and analytical skills. Effective communication skills and ability to collaborate in a team-oriented environment. Show more Show less

Job description Job Role: Ai Engineer Experience: 3 to 5 Years Location : Client Office – Pune, India Job Type : Full-Time Department : Artificial Intelligence / Engineering Work Mode : On-site at client location About the Role We are seeking a highly skilled and versatile Senior AI Engineer with over 3 to 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. Job Summary: We are seeking a passionate and experienced Node.js Developer to join our backend engineering team. As a key contributor, you will be responsible for building scalable, high-performance APIs, microservices, and backend systems that power our products and services. You will leverage modern technologies and best practices to design and implement robust, maintainable, and efficient solutions. You should have a deep understanding of Node.js, NestJS, Express.js, along with hands-on experience designing and building complex backend systems. 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. 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. Share the CV on hr.mobilefirst@gmail.com/6355560672 Show more Show less

Selected Intern's Day-to-day Responsibilities Include Collaborate with the AI research team to design and develop AI models tailored to address specific challenges in the food industry Conduct research and experiments to explore novel approaches in LLM and deep learning for solving real-world problems related to food production, distribution, and consumption Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring accuracy, reliability, and scalability Implement algorithms and techniques for natural language processing, logic reasoning, and mathematical modeling to extract valuable insights from diverse sources of data Develop APIs for seamless integration of AI models with existing systems and third-party tools, ensuring compatibility, efficiency, and reliability Integrate AI solutions with third-party tools and platforms to enhance functionality and performance, leveraging APIs and SDKs for seamless data exchange and collaboration Perform quality assurance (QA) testing to validate the functionality, performance, and reliability of AI models, APIs, and integrated systems Utilize Python stack and Conda-like technologies for development, ensuring consistency, reproducibility, and scalability of AI solutions Collaborate with cross-functional teams to identify requirements, define specifications, and prioritize features for API development and integration Stay updated on the latest advancements in AI, LLM, and deep learning research, as well as emerging tools and technologies for API creation and integration About Company: FoodNEST(S) - Bringing the restaurant to your doorstep. FoodNEST(S) is a fast-growing food tech startup founded in 2021 by Vatsal Asthana, an ambitiously keen food enthusiast. FoodNEST was founded with the sole purpose of reiterating the authentic food tradition of India and keeping alive all the astounding Indian delicacies that have been perfected across generations. We offer curated best variety of cuisines from regional to international from a variety of restaurants making it easy for people to get their favorite restaurants at their doorstep. Show more Show less

Working as an AI/ML Engineer at Navtech, you will: * Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly? * 2–4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a master’s degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. We’ll REALLY love you if you: * Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? * Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different geographies. About Us Navtech is a premier IT software and Services provider. Navtech’s mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. We’re a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Show more Show less

AI & 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 focused on delivering practical, project-driven learning experiences to help students and graduates build careers in emerging technologies. Our AI & Machine Learning Internship is designed to offer hands-on experience in building intelligent systems and solving real-world problems using data. 🚀 Internship Overview As an AI & ML Intern , you will work on projects involving machine learning models, data preprocessing, and algorithm development . This internship will equip you with the skills to apply AI techniques in various domains, including natural language processing, computer vision, and predictive analytics. 🔧 Key Responsibilities Clean and preprocess datasets for training and testing machine learning models Build, train, and evaluate ML models using Python libraries like scikit-learn, TensorFlow, PyTorch, and Keras Work on projects involving classification, regression, clustering, NLP , or image processing Analyze model performance and optimize results through hyperparameter tuning Collaborate with team members to implement AI solutions for real-world scenarios Present findings through visualizations, reports, and presentations ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or related fields Strong foundation in Python programming and statistics Understanding of machine learning algorithms and AI concepts Familiarity with Jupyter Notebook , Pandas , NumPy , and visualization libraries like Matplotlib/Seaborn Bonus: Exposure to NLP, deep learning , or AI model deployment tools Curiosity, creativity, and a passion for solving problems with data 🎓 What You’ll Gain Hands-on experience with real datasets and applied ML projects Knowledge of industry-standard AI tools and workflows A portfolio of AI/ML projects you can showcase to employers Internship Certificate upon successful completion Letter of Recommendation for outstanding performers Opportunity for a Full-Time Offer based on performance Show more Show less

Role Overview As a Data Science Analyst at Jai Kisan, you will play a critical role in transforming data into actionable insights to inform strategic business decisions. You’ll work cross-functionally with product, engineering, operations, and leadership teams to unlock the full potential of data through advanced analytics, automation, and AI-driven insights. This role requires a solid foundation in data handling, modern analytics tooling, and a deep curiosity for leveraging emerging technologies like LLMs, vector databases, and cloud-native platforms. Key Responsibilities Collect, clean, preprocess, and validate datasets from diverse structured and unstructured sources including APIs, data lakes, and real-time streams. Conduct exploratory data analysis (EDA) to identify trends, correlations, and business opportunities using statistical and machine learning techniques. Build, maintain, and optimize scalable data pipelines using Airflow, dbt, or Dagster to support both batch and real-time analytics. Develop and deploy AI/ML models, including LLM-based applications, for predictive analytics, recommendation systems, and automation use cases. Work with vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and embedding-based applications. Design and manage dashboards and self-serve analytics tools using Power BI, Looker Studio, or Tableau to enable data-driven decisions. Collaborate with backend and data engineers to integrate data solutions into microservices and APIs. Interpret and clearly communicate complex analytical findings to stakeholders, including non-technical teams. Stay ahead of industry trends including AI advancements, data governance, MLOps, vector search, and cloud-native services. Required Skills & Technologies Databases: Proficient in SQL, PostgreSQL, MongoDB, with working knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate). Languages & Tools: Strong programming experience in Python (pandas, NumPy, scikit-learn, LangChain, PyTorch/TensorFlow), SQL, and optionally R. Data Workflow Tools: Experience with Apache Airflow, dbt, Dagster, or similar tools. BI & Visualization: Proficiency in Power BI, Tableau, Looker Studio, Plotly, or Matplotlib. AI/ML: Exposure to LLMs (GPT, BERT, etc.), embedding models, and AI prompt engineering for analytics augmentation. Data APIs & Embeddings: Familiarity with OpenAI, Cohere, Hugging Face APIs for vector search and semantic understanding. Cloud Platforms: Hands-on experience with AWS, GCP, or Azure, especially with services like S3, BigQuery, Redshift, Athena, or Azure Synapse. Version Control & DevOps: Experience using Git, CI/CD pipelines, and Docker is a plus. Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related field. 1–3 years of hands-on experience in a data analysis or applied machine learning role. Strong problem-solving and storytelling abilities with a deep sense of ownership. Excellent communication and collaboration skills; ability to translate technical findings into business impact. Good To Have Experience in MCP (Multi-Cloud Platforms) and cloud-agnostic data pipelines. Understanding of data mesh, data fabric, or modern data stack architectures. Contributions to open-source analytics tools or AI projects. Knowledge of data privacy, compliance standards (GDPR, SOC2), and data security best practices. Show more Show less

Job Title: Python Developer – AI/ML Experience: 1–4 Years Location: Trivandrum – Work From Office (Kerala candidates only) Employment Type: Full-Time Key Responsibilities: Develop and deploy ML models using Python Work with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch Preprocess and analyze large datasets Collaborate with data scientists and engineers for model integration Optimize code and ensure performance in production environments Requirements: Strong Python programming skills Hands-on experience with ML algorithms and data processing Familiarity with model training, evaluation, and versioning Knowledge of REST APIs and cloud platforms is a plus Mail to thasleema@qcentro.com Job Type: Permanent Location Type: In-person Application Question(s): Kerala candidates only Experience: python AI/ML: 1 year (Required) Work Location: In person

Job Summary: We are looking for a highly skilled Data Management and Data Mining Specialist to join our team in Noida. The ideal candidate will manage and maintain data resources, ensure data quality, and apply data mining techniques to uncover valuable insights. This role involves close collaboration with cross-functional teams to optimize data processes, enhance decision-making, and support strategic business objectives. Key Responsibilities: Utilize advanced data mining techniques to identify patterns, trends, and actionable insights. Collaborate with inside sales and business teams to understand requirements and provide data-driven solutions. Support marketing and sales teams by delivering data insights for targeted campaigns and initiatives. Clean, preprocess, and validate datasets to ensure accuracy and reliability. Design and implement data models, pipelines, and efficient storage solutions. Manage data uploads and maintenance on platforms like Outreach and Salesforce. Ensure timely and effective data channelling to facilitate smooth inside sales operations. Oversee and monitor all data uploads and processes on Outreach. Skills and Qualifications: Educational Background: Bachelor's or Master's degree in any field. Technical Skills: Strong knowledge of tools such as ZoomInfo, Salesforce, Zero Bounce, Outreach, and LinkedIn. Hands-on experience with Microsoft Excel (advanced) and PowerPoint for data analysis and presentation. Familiarity with data modelling, data cleaning, and visualization tools is a plus. Soft Skills: Strong attention to detail and problem-solving abilities. Excellent communication skills for interacting with diverse teams. Ability to multitask and manage deadlines in a fast-paced environment.

Full job description Job Title: AI Intern (LLM and Deep Learning Focus) Company: FoodNEST(S) Technologies OPC Pvt Ltd. Location: Lucknow, India Duration: 6 months (with potential for full-time employment) Compensation: Accommodation with Food, 4000 Stipend About Us: FoodNEST(S) Technologies is a dynamic startup in Lucknow, Being an innovative and fast-growing startup revolutionizing the AI landscape across businesses. We are looking for a highly capable and proactive individual to join us. We're committed to using artificial intelligence and deep learning to improve every aspect of easing business and hefty workloads into seamless automated workflows. We're looking for top college graduates and final-year students to join our vibrant team. If you're passionate about technology , this is your chance to make a real impact in a fast-paced environment! Internship Overview: Join us at FoodNEST(S) Technologies as an AI Intern and dive into the world of cutting-edge technology! You'll team up with our seasoned experts to create and put into action advanced AI solutions, specifically focusing on Large Language Models and Deep Learning techniques in the food industry. This internship isn't just about learning; it's a hands-on opportunity in a fast-paced startup environment where you'll make a real difference through impactful projects that drive innovation and change. Responsibilities: Collaborate with the AI research team to design and develop AI models tailored to address specific challenges in the food industry. Conduct research and experiments to explore novel approaches in LLM and Deep Learning for solving real-world problems related to food production, distribution, and consumption. Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring accuracy, reliability, and scalability. Implement algorithms and techniques for natural language processing, logic reasoning, and mathematical modeling to extract valuable insights from diverse sources of data. Develop APIs for seamless integration of AI models with existing systems and third-party tools, ensuring compatibility, efficiency, and reliability. Integrate AI solutions with third-party tools and platforms to enhance functionality and performance, leveraging APIs and SDKs for seamless data exchange and collaboration. Perform quality assurance (QA) testing to validate the functionality, performance, and reliability of AI models, APIs, and integrated systems. Utilize Python stack and Conda-like technologies for development, ensuring consistency, reproducibility, and scalability of AI solutions. Collaborate with cross-functional teams to identify requirements, define specifications, and prioritize features for API development and integration. Stay updated on the latest advancements in AI, LLM, and Deep Learning research, as well as emerging tools and technologies for API creation and integration. Qualifications: Currently pursuing or recently graduated from a top-tier college or university, with a focus on computer science, artificial intelligence, machine learning, or related fields. Strong understanding of AI concepts, including machine learning algorithms, deep learning architectures, and natural language processing techniques. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks for AI development. Experience with API development and integration, including RESTful APIs, web services, and data exchange protocols. Familiarity with third-party tools and platforms for AI development, such as cloud services (AWS, Azure, Google Cloud), data analytics tools, and collaboration platforms. Knowledge of Python stack and tech frameworks like Conda for development and environment management. Excellent analytical and problem-solving skills, with a keen interest in tackling complex challenges and driving innovation. Ability to work independently as well as collaboratively in a team environment, with strong communication and interpersonal skills. Startup mindset with a passion for entrepreneurship, adaptability to dynamic and fast-changing environments, and a willingness to take on diverse responsibilities. Prior experience or coursework in LLM and Deep Learning applications in the food industry is a plus, but not required. Benefits: Accommodation and food provided (Breakfast, Lunch, Dinner) for candidates. Monthly stipend of 4000 INR. Opportunity for hands-on experience and mentorship from industry experts in cutting edge technology space Potential for full-time employment with FoodNEST(S) Technologies upon successful completion of the internship. Chance to be part of a dynamic and innovative startup that is reshaping the future through technology-driven solutions. Candidates who can apply 1. Candidates who are ready to join immediately or within 15 days if offered the internship. 2. Candidates who are you ready to relocate as it's an Onsite Internship at location Lucknow . Join FoodNEST(S) Technologies and be part of a team that is revolutionizing businesses. Apply now to embark on an exciting journey. Application Question(s): Proficiency in Neural Networks, Generative AI, Python language, Statistics and Mathematics. Can you provide an example from your past experience where you demonstrated a startup mindset by taking initiative, working under pressure, and adapting to rapidly changing circumstances to achieve a significant goal? How did you handle the challenges, and what was the outcome? Job Type: Internship Contract length: 6 months Pay: ₹4,000.00 per month Benefits: Food provided Schedule: Day shift Monday to Friday Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Work Location: In person

Experience 3-8 years Years Location Indore Type On Site. Skills/Requirements: Python Job Description: Data Analyst Responsibilities: Participate in discovery processes, collaborating with key stakeholders to identify business requirements and expected outcomes. Collect, clean, and preprocess data from various sources to ensure data quality and consistency. Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics. Design and build dashboards and reports using Power BI, or other data visualisation tools to provide actionable insights. Create and maintain comprehensive documentation for all data analysis processes and methodologies. Collaborate with development teams to integrate data insights into software applications and business processes. Define business-specific performance metrics to measure data analysis effectiveness and monitor these metrics over time. Data Analyst Requirements: Graduate in Mathematics, Statistics, Computer Science, or a related field; advanced degree preferred. 3 or more years of relevant data analysis experience, particularly in collecting, organising, analysing, and disseminating significant amounts of information with attention to detail and accuracy. Proficiency in using SQL for data querying and manipulation. Hands-on experience with data visualisation tools such as Power BI, Tableau, or similar. Excellent understanding of statistical techniques and their applications. Programming experience in Python for data analysis. Proficiency in Microsoft Excel, including advanced functions and data analysis tools. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Great communication skills and ability to convey complex topics to a cross-functional audience. Skills: Data Analysis, SQL, Power BI, Tableau, Statistics, Python, Excel, Data Visualization, Data Cleaning.

Job Description Job Title Data Scientist – Operations Location Kraft Heinz Global Capability Center (GCC), Ahmedabad About Kraft Heinz At Kraft Heinz, we are revolutionizing the food and beverage industry by leveraging data and innovation to deliver exceptional value to our customers. Our Global Capability Center (GCC) in Ahmedabad serves as a critical hub for operational excellence, driving efficiency and innovation across the organization. Role Overview The Data Scientist – Operations will play a key role in transforming operational processes through advanced analytics and data-driven decision-making. This role focuses on optimizing supply chain, manufacturing, and overall operations by developing predictive models, streamlining workflows, and uncovering insights to enhance efficiency and reduce costs. Key Responsibilities Advanced Analytics and Data Modeling Develop predictive models for demand forecasting, inventory optimization, and supply chain resilience. Leverage machine learning techniques to optimize production schedules, logistics, and procurement. Build algorithms to predict and mitigate risks in operational processes. Operational Efficiency Analyze manufacturing and supply chain data to identify bottlenecks and recommend process improvements. Implement solutions for waste reduction, cost optimization, and improved throughput. Conduct root cause analysis for operational inefficiencies and develop actionable insights. Collaboration with Stakeholders Partner with operations, supply chain, and procurement teams to understand analytical needs and deliver insights. Collaborate with IT and data engineering teams to ensure data availability and accuracy. Present findings and recommendations to non-technical stakeholders in an accessible manner. Data Management and Tools Work with large datasets to clean, preprocess, and analyze data Location(s) Ahmedabad - Venus Stratum GCC Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes . Show more Show less

Job Title: Python Developer – AI/ML Experience: 1–4 Years Location: Trivandrum – Work From Office (Kerala candidates only) Employment Type: Full-Time Key Responsibilities: Develop and deploy ML models using Python Work with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch Preprocess and analyze large datasets Collaborate with data scientists and engineers for model integration Optimize code and ensure performance in production environments Requirements: Strong Python programming skills Hands-on experience with ML algorithms and data processing Familiarity with model training, evaluation, and versioning Knowledge of REST APIs and cloud platforms is a plus Mail to thasleema@qcentro.com Job Type: Permanent Location Type: In-person Application Question(s): Kerala candidates only Experience: python AI/ML: 1 year (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 : 6th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Job Title: Data 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: 6th 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

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 6th 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: 6th 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 6th 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

This role is for one of Weekday's clients Salary range: Rs 1200000 - Rs 1500000 (ie INR 12-15 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time Requirements About the Role We're looking for a highly skilled and motivated AI Engineer to join our growing team of machine learning practitioners, data scientists, and engineers. This role is ideal for someone passionate about building cutting-edge AI solutions using modern deep learning and NLP frameworks. You will work on a wide range of problems—from training and fine-tuning large language models to deploying intelligent systems at scale—while collaborating across product, data, and engineering teams. As an AI Engineer, you will be at the core of our AI initiatives, applying your knowledge in Python, PyTorch, TensorFlow, Scikit-Learn, and other key libraries to build, optimize, and deploy high-performing models. You will also be instrumental in adopting MLOps best practices to ensure that our models are scalable, maintainable, and reproducible. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world AI applications with a focus on natural language processing (NLP). Leverage libraries like PyTorch, TensorFlow, and Scikit-learn to build and train custom ML/DL models. Use Hugging Face Transformers, spaCy, and other NLP libraries to fine-tune and integrate state-of-the-art models for tasks like classification, summarization, entity recognition, and question answering. Implement MLOps practices such as experiment tracking, model versioning, CI/CD pipelines, and automated deployment. Collaborate with data engineers and analysts to preprocess and clean large datasets using Pandas and NumPy. Build and maintain reusable code and model components to streamline development and promote best practices. Evaluate model performance using rigorous metrics and troubleshoot issues related to bias, overfitting, or latency. Stay updated with the latest research, tools, and trends in AI, especially in the rapidly evolving NLP domain. Work cross-functionally with product, engineering, and business teams to define AI use cases and deliver high-impact solutions. Required Skills & Qualifications 4+ years of hands-on experience as an AI/ML Engineer or similar role. Strong programming skills in Python, with deep understanding of data structures, algorithms, and OOP principles. Expertise in PyTorch and/or TensorFlow for building and deploying deep learning models. Proficiency with Scikit-Learn, Pandas, NumPy, and other core Python libraries used in ML pipelines. Solid understanding and practical experience in natural language processing (NLP) using tools such as HuggingFace, spaCy, or similar. Familiarity with MLOps workflows, including model deployment, version control, and monitoring. Experience working with cloud environments or containerization tools is a plus (e.g., Docker, Kubernetes, AWS, GCP). Strong problem-solving, analytical, and communication skills. Preferred Qualifications Master's or Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field. Experience working on production-level NLP applications. Contributions to open-source ML libraries or participation in ML research Show more Show less

Job Description : We are looking for a Python programmer with expertise in Machine Learning and Deep Learning to support PhD students and researchers. You will help build ML/DL models, process data, and write code for research projects, especially in academic fields like image processing, NLP, IoT, and more. Key Responsibilities: Understand PhD research problems and provide technical solutions Write and test Python code for ML/DL algorithms Use libraries like TensorFlow, Keras, PyTorch, scikit-learn, etc. Work on deep learning models such as CNN, RNN, LSTM, etc. Preprocess and analyze research datasets Optimize model performance (accuracy, speed, etc.) Help prepare technical reports or code explanations for research papers/theses Ensure code is clean, documented, and reusable Collaborate with research writers and analysts Requirements: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field Strong programming skills in Python Good understanding of machine learning and deep learning techniques Experience with ML/DL libraries and frameworks Ability to work with academic datasets and solve real research problems Knowledge of areas like image processing, NLP, bioinformatics, or wireless networks is a plus Experience in academic or research projects is preferred Ability to explain code clearly to non-technical clients Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Work Location: In person

Job Description Job Title Machine Learning Engineer (Band B14) Job Description The Machine Learning Engineer will play a key role in transforming operational processes through the development and deployment of machine learning models and data-driven solutions. This role focuses on building and integrating predictive models, optimizing workflows, and uncovering insights to enhance eƯiciency and reduce costs. Key Responsibilities Machine Learning Model Development * Design, develop, and deploy predictive models for demand forecasting, inventory optimization, and supply chain resilience. * Leverage machine learning techniques to optimize production schedules, logistics, and procurement. * Build and train algorithms to predict and mitigate risks in operational processes. Forecasting Pipeline Development * Build, develop, and maintain forecasting pipeline for demand planning while ensuring system availability and forecast accuracy. * Collaborate with data scientists and analysts to ensure alignment and knowledge sharing. Model Deployment and Integration * Collaborate with product owners and IT functional teams to bridge data science solutions into production. * Work with data engineering teams to ensure seamless integration of machine learning models with existing systems. * Develop and maintain APIs and data pipelines to support model deployment. Operational EƯiciency * Analyze manufacturing and supply chain data to identify bottlenecks and recommend process improvements. * Conduct root cause analysis for operational ineƯiciencies and develop actionable insights. Collaboration and Communication * Partner with operations, supply chain and demand planning teams to understand analytical needs and deliver insights. * Present findings and recommendations to non-technical stakeholders in an accessible manner. Data Management and Tools * Work with large datasets to clean, preprocess, and analyze data. * Develop and maintain data visualizations and reports to support business stakeholders. Location(s) Ahmedabad - Venus Stratum GCC Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes . Show more Show less

Let’s be #BrilliantTogether ISS Market Intelligence (ISS MI) is looking for an Primary Market Research Analyst to join to join the Mumbai based Research team in support of our ISS MI Research. Overview ISS Market Intelligence Research forms part of the Market Intelligence (MI) division of ISS STOXX. As a Research Analyst you will work on small project teams to support our syndicated research studies, analyze research results, and help develop client deliverables. Coverage will focus on a recurring series of sentiment surveys but may also include other survey research products. Analysts develop critical skill sets by contributing to all phases of our research. They gain valuable market research experience, becoming well-versed in survey design and implementation, data collection and validation, and analysis of results to arrive at strategic implications. Additionally, Analysts develop deep knowledge of our clients’ businesses and strong project management skills. Finally, they gain broad exposure to the US financial services industry and the unique market dynamics for advisor-sold products in the asset management, annuity and life insurance space. Responsibilities Program surveys using Qualtrics. Customize surveys with advanced features like embedded data and custom JavaScript. Implement logic and branching to ensure a smooth survey flow. Conduct thorough testing of surveys to identify and fix any issues before deployment. Monitor survey distribution and response rates. Ensure data quality and integrity during collection. Clean and preprocess survey data. Analysis if market research results in SPSS, Excel and database environments Identify recurring themes and patterns in qualitative data and assign categories. Correct spelling and grammar in qualitative data. Visualize quantitative and qualitative data using charts and graphs to highlight key findings. Qualifications University Degree with academic distinction 1-2 years of experience in market research or related field Strong quantitative skills and a passion for analyzing statistical data Desire to work in a team-oriented, entrepreneurial environment Strong sense of ownership of responsibilities combined with proactive mindset when working autonomously Exceptional attention to detail and organization Demonstrated ability to work with quantitative data Excellent communication skills, both written and verbal Ability to proactively manage time to achieve target dates Demonstrated ability to juggle multiple priorities simultaneously Ability to work independently as well as collaborate effectively with other teams Proficiency with Microsoft Office software (Excel, PowerPoint, Word) Experience with SPSS or another statistical program a plus Utilize critical thinking skills to analyze data trends and derive actionable insights. Able to identify discrepancies in data and propose effective solutions. #ANALYST #MI What You Can Expect From Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let’s empower, collaborate, and inspire. Let’s be #BrilliantTogether. About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. ISS Market Intelligence (ISS MI) is a leading provider of data, insights, and market engagement solutions to the global financial services industry. ISS MI empowers asset and wealth management firms, insurance companies, distributors, service providers, and technology firms to assess their target markets, identify and analyze the best opportunities within those markets, and execute on comprehensive go-to-market initiatives to grow their business. Clients benefit from our increasingly connected global platform that leverages a combination of proprietary data, powerful analytics, timely and relevant insights, in-depth research, as well as an extensive suite of industry-leading media brands that deliver unmatched market connectivity through news and editorial content, events, training, ratings, and awards. Visit our website: https://www.issgovernance.com View additional open roles: https://www.issgovernance.com/join-the-iss-team/ Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Show more Show less