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

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

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

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

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

Responsibilities: • Design and develop GenAI-based solutions using LLMs (e.g., Bedrock, OpenAI, Claude) for text, image, table, diagram, and multi-modal applications. • Implement a multi-agent system that integrates structured and unstructured data sources, including knowledge graphs, embeddings, and vector databases. • Build and deploy agentic AI workflows capable of autonomous task completion, using frameworks like LangChain, LangGraph, or CrewAI. • Perform fine-tuning, retraining, or adaptation of open-source or proprietary LLMs for specific domain tasks. • Collaborate with data scientists and domain experts to curate and preprocess training datasets. • Integrate models with scalable backend APIs or pipelines (REST, FastAPI, gRPC) for real-world applications. • Stay updated with state-of-the-art research and actively contribute to enhancing model performance and interpretability. • Optimize inference, model serving, and memory management for deployment at scale. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, Data Science, or related field. • 5+ years of hands-on experience in Deep Learning, NLP, and LLMs. • Proven experience with at least one end-to-end project involving multi-modal RAG and Agentic AI. • Proficient in Python and ML/DL libraries such as PyTorch, TensorFlow, Transformers (HuggingFace), LangChain, LangGraph, Bedrock, or similar • Experience in fine-tuning or adapting LLMs (using LoRA, QLoRA, PEFT, or full fine-tuning). • Experience in building a multi-agent system. • Strong understanding of knowledge graphs, embeddings, vector databases (e.g., FAISS, Chroma, Weaviate), and prompt engineering. • Strong understanding and experience of a cloud platform like AWS. • Familiarity with containerization (Docker, Kubernetes) Preferred Skills • Experience in the Biopharma industry. • Design and implement user-friendly interfaces for AI applications. • Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. • Develop scalable and efficient backend systems to support the deployment of AI models. • Integrate with cloud platforms (AWS) for infrastructure management. • Hands-on experience in vision-language models (e.g., CLIP, BLIP, LLaVA). • Publications, Kaggle competitions, or GitHub projects in GenAI Show more Show less

General information Country India State Telangana City Hyderabad Job ID 43506 Department Development Summary Description & Requirements As an AI/ML Developer, you’ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor’s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding : Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage. At Infor we value your privacy that’s why we created a policy that you can read here. Show more Show less

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

Company Description We at Cropper Technologies are developing innovative solutions for sustainable agriculture. CropRover, a fully autonomous robot, assists farmers with various tasks such as pruning, weeding, and harvesting to achieve the best farm results. Utilizing multiple sensors, high-precision navigation, and AI models, CropRover ensures real-time situational awareness and efficient farming operations without downtime. Role Description This is a full-time, on-site role for a Computer Vision Intern located in Indore. The intern will be involved in developing and optimizing computer vision algorithms for CropRover. Day-to-day tasks will include programming, data analysis, and collaborating with the engineering team to integrate vision models into the autonomous system. The intern will also test and validate the performance of these algorithms in real-world farming environments. Responsibilities Develop and optimize weed vs crop detection models using annotated datasets Work with real-world agricultural images from Indian farms Preprocess, augment, and label datasets (RGB, IR, or NIR images) Implement object detection / segmentation pipelines (YOLOv8, SAM, etc.) Collaborate with hardware and laser control teams for system integration Conduct field trials, test under varied lighting and occlusion conditions Qualifications Currently pursuing a degree in Computer Science, Electrical Engineering, or a related field Proficiency in Programming Strong analytical and problem-solving skills Familiarity with computer vision and machine learning methodologies Prior experience with autonomous systems or robotics is a plus Show more Show less

CryptoChakra.com is a rapidly evolving cryptocurrency analytics and education platform dedicated to empowering users with data-driven insights and next-generation tools. Currently in its development phase, we are building scalable AI infrastructure to support advanced analytics, real-time market predictions, and robust educational resources. By integrating artificial intelligence with blockchain technology, our platform aims to transform raw data into actionable intelligence for crypto enthusiasts and investors worldwide. Our mission is to deliver secure, reliable, and scalable data solutions that fuel AI-driven innovations and foster financial literacy. As we expand, we remain committed to technical excellence, transparency, and democratizing access to cutting-edge crypto analytics. Role Description Position: Data Analyst (AI Infrastructure) – Remote Employment Type: Internship or Entry-Level (Paid or unpaid, depending on suitability and project requirements) Key Responsibilities: AI Data Pipeline Management: Assist in building, maintaining, and optimizing data pipelines that feed AI and machine learning models with clean, structured, and accurate data. Data Quality Assurance: Monitor, validate, and preprocess large datasets to ensure data integrity and reliability for AI training and inference. Infrastructure Collaboration: Work closely with data engineers and AI teams to translate computational needs into scalable infrastructure solutions, leveraging cloud platforms (AWS, Azure, Google Cloud) and automation tools. Data Transformation & Integration: Support the development and maintenance of data warehouses, data lakes, and integration frameworks to streamline data flow for analytics and AI workloads. Performance Monitoring: Track and report on the performance of data infrastructure, identifying bottlenecks and opportunities for optimization. Process Improvement: Document workflows, automate repetitive tasks, and implement best practices for data governance and observability. Learning Outcomes: Hands-on experience with AI/ML data workflows, cloud infrastructure, and big data tools. Exposure to automated data validation, ETL processes, and data observability platforms. Mentorship from experts in AI infrastructure, data engineering, and blockchain analytics. Qualifications Core Requirements: Technical Proficiency: Strong foundation in Python, SQL, and data manipulation libraries (Pandas, NumPy). Data Management Skills: Experience with data cleaning, preprocessing, and quality assurance for AI/ML applications. Cloud & Automation: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and automation tools (Terraform, Ansible, Docker, Kubernetes) is a plus. Analytical Mindset: Ability to troubleshoot data anomalies, optimize data flows, and collaborate with cross-functional teams. Remote Work Ethic: Self-motivated with strong time management and communication skills for remote collaboration. Academic Background: Pursuing or holding a degree in Data Science, Computer Science, Engineering, or a related field. Preferred Assets: Knowledge of data validation and observability tools (Great Expectations, Monte Carlo, Apache Griffin). Experience with version control (Git) and agile development methodologies. Interest in blockchain technology, cryptocurrency markets, or decentralized applications. Show more Show less

We are looking for a highly motivated and detail-oriented Data Scientist with 2–3 years of experience to join our growing team. The ideal candidate will have strong analytical skills, a solid foundation in machine learning, and the ability to translate data into actionable insights that drive business decisions. Responsibilities: Collect, clean, and preprocess structured and unstructured data from various sources. Develop, implement, and evaluate predictive models and machine learning algorithms. Perform statistical analyses to extract insights and support business strategies. Visualize and communicate results to stakeholders through dashboards, reports, and presentations. Collaborate with cross-functional teams to define data-driven approaches for business problems. Monitor and improve the performance of deployed models. Stay current with the latest research and developments in data science and machine learning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 2–3 years of hands-on experience in data science, machine learning, or a related role. Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience with data visualization tools like Power BI, Tableau, or Plotly. Solid understanding of statistical methods, data modeling, and algorithm design. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Show more Show less

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. About Us Athenahealth is a leading provider of cloud-based services for healthcare systems, dedicated to transforming the way healthcare is delivered and managed. Founded in 1997, the company focuses on providing innovative solutions that enhance the efficiency and effectiveness of healthcare providers, enabling them to deliver better patient care. Athenahealth is a forward-thinking organization dedicated to leveraging cutting-edge technology to drive innovation and deliver exceptional solutions. We are seeking a talented Lead AI/ML Engineer to join our dynamic team and lead the development of advanced machine learning models and AI solutions. Job Summary As a AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, test, and validate models using state-of-the-art methodologies and frameworks. Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets. Engineer features and performs exploratory data analysis to ensure data quality and model readiness. Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow). Implement models into production environments, ensuring robustness, scalability, and maintainability. Develop and maintain CI/CD pipelines for seamless model integration and deployment. Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics. Document model architecture, development processes, and performance evaluations thoroughly. Share insights and technical know-how with team members to foster a culture of continuous learning and improvement. Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices. Analyze large datasets to extract insights and improve model performance. Ensure compliance with data privacy and security regulations in all AI/ML initiatives. Qualifications Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. Proven experience (3+ years) in AI/ML engineering, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) About Athenahealth Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. What’s unique about our locations? From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together. Our Company Culture Might Be Our Best Feature. We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone. Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability. Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement. What can we do for you? Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. Show more Show less

DataScientist Remote Contract India Key Responsibilities • Develop and implement advanced data science models, including clustering, segmentation, random forest, gradient boosting (e.g., XGBoost), ensemble techniques, and constrained optimization methods. • Explore additional approaches such as neural networks, support vector machines, and Bayesian methods to address diverse business challenges. • Design and execute matched-pair analyses, predictive analytics, and other statistical approaches to address business challenges. • Collaborate with stakeholders to identify use cases for advanced modeling and provide data science-driven solutions. • Engineer features and preprocess data to optimize model performance and interpretability. • Work with large datasets from diverse sources, ensuring data quality and consistency. • Perform model evaluation, tuning, and validation using appropriate techniques and metrics. • Deploy machine learning models into production environments, ensuring scalability and reliability. • Mentor and collaborate with team members to share knowledge and best practices. • Stay current on advancements in data science, tools, and methodologies to bring innovation to the team. Qualifications • 4–8 years of work experience in classification, regression, clustering, association, dimension reduction, natural language processing (NLP), experiments, and optimization. • Proficiency in Python or R, with strong experience in libraries such as scikit-learn, TensorFlow, PyTorch, or similar. • Advanced knowledge of machine learning algorithms, statistical modeling, and data preprocessing techniques. • Strong foundation in mathematics, statistics, and computer science. • Proficiency in SQL for data extraction and manipulation. • Demonstrated ability to handle complex datasets and derive actionable insights. • Excellent communication and collaboration skills to work with cross-functional teams. • Experience deploying models into production environments is highly desirable Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt Show more Show less

Country/Region: IN Requisition ID: 25987 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Technical Lead-App Development Description: Area(s) of responsibility About Us: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Job Description Location: Hyderabad Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs. Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Experience on Marklogic is good to have in it

Key Responsibilities: Extract, clean, and preprocess large datasets from various sources. Apply data mining techniques (e.g., clustering, classification, association rule mining) to discover patterns and trends. Design and develop predictive models and machine learning algorithms. Collaborate with data engineers, analysts, and business stakeholders to understand data needs and objectives. Interpret results and communicate findings in clear, actionable formats (reports, dashboards, presentations). Continuously monitor and improve data mining processes and model performance. Ensure compliance with data privacy and governance standards. Job Type: Full-time Pay: ₹8,086.06 - ₹10,000.00 per month Benefits: Paid time off Schedule: Day shift Work Location: In person

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

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 4th 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

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 : 4th 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

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