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Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 16th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Title - AI Engineer Type - Contract Location - Remote Roles and Responsibilities: - Design and implement AI solutions using LLMs for tasks such as summarization, question answering, and document understanding. - Build and optimize retrieval-augmented generation (RAG) pipelines by combining OCR and LLMs for unstructured document processing. - Integrate LLMs and OCR tools, such as Azure Document Intelligence and Tesseract, into scalable applications. - Preprocess scanned and digital documents using OCR to extract structured and semi-structured text for LLM input. - Perform prompt engineering and fine-tuning of LLMs to enhance accuracy and task-specific performance. - Evaluate and monitor LLM+OCR system outputs for quality, bias, and hallucination risks. - Collaborate with cross-functional teams to deliver AI solutions tailored to domain-specific needs. - Stay updated on the latest developments in foundation models, Agentic AI, and OCR technologies. Qualifications : - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of experience in AI/ML, with a focus on LLMs and prompt engineering. - Proven ability to work independently, demonstrating initiative, ownership, and accountability across all phases of solution development. - Practical understanding of SAFe Agile methodologies, with experience delivering AI/ML solutions in cross-functional Agile teams. Tools and Technologies: - Hands-on experience with LLM frameworks such as LangChain and Semantic Kernel. - Strong understanding of vector search, embedding models, and semantic retrieval (e.g., FAISS, Pinecone, Azure Cognitive Search). - Proficiency in Python, with experience integrating APIs, function calling, regular expressions, and handling LLM outputs. - Deep expertise in prompt engineering, including few-shot prompting, prompt tuning, prompt chaining, and optimization techniques for task-specific accuracy and cost control. - Solid knowledge of RAG architectures and agent design patterns (e.g., tool use, memory, planning). - Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence) for document understanding and information extraction from scanned or image-based content. - Familiarity with LLM platforms and tools like Azure OpenAI, LLMOps. - Experience deploying LLM-based applications in cloud environments, with attention to performance, reliability, and scalability.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 16th July 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Roles & Responsibilities : Gather financial data from internal and external sources (e.g., accounting systems, ERP platforms, market databases). Ensure data accuracy, consistency, and completeness. Clean and preprocess raw data for analysis Interface between Automation team and operations with creation of BOT & Power BI dashboards Work closely with business operations and IT teams Co-ordinate for continuous improvement with Cross functional teams Qualifications Educational qualification: Graduation in Commerce or Science with knowledge of Accounts payable Experience : 8 to 10 years of experience in Accounts payable and Automation Mandatory/requires Skills : Project Management Skills SAP knowledge (tables/Structure) Database knowledge Power BI dashboard creating and maintanence Bosch Redlake Preferred Skills :

Job Title: Machine Learning Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship About Optimspace.in Optimspace.in 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 How to Apply 📩 Submit your application with "Machine Learning Intern Application" as the subject. 📅 Deadline: 15th July 2025 Note: Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

About Aezion Aezion is one of the premiere custom software providers in United States. and we live by the adage that our word is our bond. Our Promise is to get it right or make it right. We accomplish this by investing the effort to exceed client expectations from start to finish - architecting, designing, developing, hosting, deploying, maintaining, and supporting our clients throughout the project lifecycle. We believe that work is ministry – an expression of our values. Our goal is to honor our commitments to clients and the life energies of Aezion employees through results that transform clients into lifelong partners. Position Description Job Title: AI/ML Architct Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras GenAI Developer Job Description We are seeking a talented Generative AI Developer to join our innovative team. The ideal candidate will have a strong background in AI and machine learning, with a focus on generative models and large language models (LLMs). You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Advanced Programming Knowledge: Mastery in programming languages like Python and expertise in AI-specific libraries such as TensorFlow, PyTorch, and Keras. Proficiency in implementing and manipulating complex algorithms essential for generative AI development. Generative Models Expertise: In-depth experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to design, train, and optimize these models for generating high-quality and creative content. Natural Language Processing (NLP): Strong background in text generation techniques, including text parsing, sentiment analysis, and the use of transformers like GPT models for advanced text-based applications. Vector Databases: Hands-on experience with vector databases such as Pinecone, PgVector, and Qdrant for efficient retrieval and similarity search. Embedding, Retrieval-Augmented Generation (RAG), and Indexing: Expertise in creating embeddings, implementing RAG workflows, and indexing vector databases to improve search, retrieval, and contextual generation. LangChain and LangGraph: Expertise in building advanced workflows and applications using LangChain for LLM-based solutions and LangGraph for structured workflows with conditional logic. FastAPI and Microservices: Proficiency in building scalable, RESTful FastAPI applications and microservices architectures for deploying AI solutions. LangSmith and LangFuse: Experience using LangSmith for debugging and evaluation of LLM chains, and LangFuse for logging and analytics in LLM applications. Cloud Computing and Deployment: Expertise in deploying and managing AI applications on cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Familiarity with Docker for containerization and Kubernetes for scaling and orchestration.

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with 157 years of history that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. We’re working hard to support their wellness and health management goals, too. That way, they can enjoy what matters most to them. And that’s anything from running a marathon to helping their grandchildren learn to ride a bike. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds With innovative technology, a strong distribution network and long-standing relationships with some of the world’s largest employers, we are today providing financial security to millions of people globally. Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) With 32 years of operations in the Philippines and 17 years in India, Sun Life Global Solutions, (formerly Asia Service Centres), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. Drawing on our collaborative and inclusive culture, we are reckoned as a ‘Great Place to Work’, ‘Top 100 Best Places to Work for Women’ and stand among the ‘Top 11 Global Business Services Companies’ across India and the Philippines. The technology function at Sun Life Global Solutions is geared towards growing our existing business, deepening our client understanding, managing new age technology systems, and demonstrating thought leadership. We are committed to building greater domain expertise and engineering ability, delivering end to end solutions for our clients, and taking a lead in intelligent automation. Tech services at Sun Life Global Solutions have evolved in areas such as application development and management, Support, Testing, Digital, Data Engineering and Analytics, Infrastructure Services and Project Management. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! What will you do? The role involves creating innovative solutions, guiding development teams, ensuring technical excellence, and driving architectural decisions aligned with company policies. The Solution Designer/Tech Lead will be a key technical advisor, collaborating with onshore teams and leadership to deliver high-impact Data and AI/ML projects. Our engineering career framework helps our engineers to understand the scope, collaborative reach, and levers for impact at every job role and defines the key behaviors and deliverables specific to one’s role and team and plan their career with Sun Life. Key Responsibilities: Design and architect Generative AI solutions leveraging AWS services such as Bedrock, S3, PG Vector, Kendra, and SageMaker. Collaborate closely with developers to implement solutions, providing technical guidance and support throughout the development lifecycle. Lead the resolution of complex technical issues and challenges in AI/ML projects. Conduct thorough solution reviews and ensure adherence to best practices and company standards. Navigate governance processes and obtain necessary approvals for initiatives. Make critical architectural and design decisions aligned with organizational policies and industry best practices. Liaise with onshore technical teams, presenting solutions and providing expert analysis on proposed approaches. Conduct technical sessions and knowledge-sharing workshops on AI/ML technologies and AWS services. Evaluate and integrate emerging technologies and frameworks like LangChain into solution designs. Develop and maintain technical documentation, including architecture diagrams and design specifications. Mentor junior team members and foster a culture of innovation and continuous learning. Collaborate with data scientists and analysts to ensure optimal use of data in AI/ML solutions. Coordinate with clients, data users, and key stakeholders to achieve long-term objectives for data architecture. Stay updated on the latest trends and advancements in AI/ML and cloud and data technologies. Key Experience: Extensive experience (12-15 years) in software development and architecture, with a focus on AI/ML solutions. Deep understanding of AWS services, particularly those related to AI/ML (Bedrock, SageMaker, Kendra, etc.). Proven track record in designing and implementing data, analytics, reporting and/or AI/ML solutions. Strong knowledge of data structures, algorithms, and software design patterns. Expertise in data management, analytics, and reporting tools. Proficiency in at least one programming language commonly used in AI/ML (e.g., Python, Java, Scala). Familiarity with DevOps practices and CI/CD pipelines. Understanding of AI ethics, bias mitigation, and responsible AI principles. Basic understanding of data pipelines and ETL processes, with the ability to design and implement efficient data flows for AI/ML models. Experience in working with diverse data types (structured, unstructured, and semi-structured) and ability to preprocess and transform data for use in generative AI applications. Technical Credentials: AWS, AI/ML Primary Location: Gurgaon Schedule: 12:00 PM to 8:30 PM Job Category: Advanced Analytics Posting End Date: 21/07/2025

Job Title: AI/ML Engineer Location: Coimbatore, India Experience: 1 to 3 years Employment Type: Full-time Job Summary: We are seeking a motivated and skilled AI/ML Engineer with 1–3 years of hands-on experience to join our team in Coimbatore. The ideal candidate will work on building and deploying AI/ML models that solve real-world problems across industries. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms for real-world applications Preprocess and analyze structured and unstructured data Build scalable data pipelines and automate workflows Collaborate with data scientists, software engineers, and product teams to integrate ML solutions Monitor and optimize model performance and accuracy over time Stay current with the latest research and advancements in AI/ML Required Skills: Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch Experience with data manipulation tools (Pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, GCP) is a plus Experience with version control (Git) and agile development practices Strong analytical and problem-solving skills

At Takeda, we are guided by our purpose of creating better health for people and a brighter future for the world. Every corporate function plays a role in making sure we — as a Takeda team — can discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. People join Takeda because they share in our purpose. And they stay because we’re committed to an inclusive, safe and empowering work environment that offers exceptional experiences and opportunities for everyone to pursue their own ambitions. Job ID R0157715 Date posted 07/14/2025 Location Bengaluru, Karnataka I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Noticeand Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights and support strategic initiatives. Responsibilities Data Collection and Analysis: Gather and extract data from various sources, ensuring data integrity, accuracy, and completeness. Clean, transform, and preprocess data to prepare it for analysis. Performance Monitoring and Optimization: Monitor key performance indicators (KPIs) and track the effectiveness of business processes. Identify areas for improvement, potential bottlenecks, and opportunities for optimization. Collaborate with cross-functional teams to implement data- driven strategies and measure their impact. Ad-Hoc Analysis: Conduct ad-hoc analysis to answer specific business questions or address immediate needs. Analyze data from different perspectives to provide insights into specific areas of interest or emerging trends. Proactively identify new data sources or approaches to enhance analysis capabilities. Data Quality Assurance: Ensure data accuracy, consistency, and adherence to predefined quality standards. Implement data validation and verification procedures to identify and resolve data quality issues. Work closely with data engineers and stakeholders to improve data collection processes and data governance practices. Collaborative Projects: Collaborate with cross-functional teams, to support data-driven initiatives and projects. Provide analytical support, guidance, and expertise throughout the project lifecycle. Communicate effectively with stakeholders to understand their requirements and deliver actionable insights. Skills and Qualifications Bachelor’s Degree with 2+ years IT experience 1+ years relevant progressive experiences Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar languages. Experience with data visualization tools such as Tableau, Power BI, or similar software. Strong analytical thinking and problem-solving skills. Familiarity with statistical concepts and techniques. Excellent attention to detail and ability to work with large datasets. Strong communication and presentation skills, with the ability to translate complex findings into clear and actionable insights. Ability to work independently and collaborate effectively in a team environment. Strong business acumen and ability to understand and address business requirements through data analysis WHAT TAKEDA ICC INDIA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are: Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Employee Assistance Program 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs No Meeting Days Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. #Li-Hybrid Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time

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

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

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

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 14th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. Role Overview As a Computer Vision Engineer, you will: Design, train, and deploy computer vision models for specific business applications Work with image, video, or 3D data to extract insights and automate workflows Collaborate with teams to integrate CV models into scalable products What You’ll Do Build and fine-tune models for classification, detection, segmentation, tracking, or OCR Use libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or YOLO Preprocess and augment datasets to improve model robustness Deploy models using APIs, edge devices, or cloud-based inference tools Monitor performance and continuously optimize for accuracy and speed Technical Requirements 3+ years of experience in computer vision or deep learning Proficient in Python and frameworks like PyTorch, TensorFlow, or Keras Experience with OpenCV, scikit-image, and image/video processing pipelines Familiarity with model deployment using ONNX, TensorRT, or cloud services Bonus: experience with real-time CV, synthetic data, or 3D vision What We’re Looking For A hands-on developer who can take vision-based problems from idea to production A freelancer who enjoys working with data-rich products and diverse use cases Someone who can collaborate with both technical and product teams to deliver real impact Why Join Us Work on challenging computer vision projects across industries Fully remote and flexible freelance opportunities Get matched with future roles in CV, AI, and edge deployment Join a growing network solving real-world problems with intelligent vision systems Ready to bring vision to life? Apply now to become a Computer Vision Engineer with BeGig.

Job Title: Machine Learning Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship About Optimspace.in Optimspace.in 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 How to Apply 📩 Submit your application with "Machine Learning Intern Application" as the subject. 📅 Deadline: 12th July 2025 Note: Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

AI/ML Engineer / Data Scientist Company: Triumph Edge Innovations Pvt. Ltd. Location: Ernakulam , Kerala, India Job Type: Full-time, Part time About Triumph Edge: Triumph Edge is a leading Indian technology firm dedicated to providing cutting-edge AI-Powered Image Analysis (AI-PIA) solutions for India's defense sector. In alignment with the "Atmanirbhar Bharat" and "Make in India" initiatives, we are committed to building indigenously developed, state-of-the-art AI systems for Intelligence, Surveillance, and Reconnaissance (ISR). Our mission is to empower our armed forces with efficient, secure, and actionable intelligence, contributing directly to national security. Job Summary: As an AI/ML Engineer / Data Scientist at Triumph Edge, you will be an integral part of our R&D team, responsible for designing, developing, and deploying advanced AI-powered image analysis systems for defence applications. You will have a direct impact on building and optimizing models that can analyse large-scale visual datasets, detect threats, and enhance situational awareness. We are seeking individuals passionate about national security and capable of solving complex challenges using cutting-edge AI technologies. Key Responsibilities and Duties: AI/ML Model Development: Design, train, and evaluate state-of-the-art Deep Learning and Computer Vision models for critical defence requirements (e.g., object detection, classification, tracking, change detection, anomaly detection, facial recognition). Work extensively with various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models. Continuously improve model performance, accuracy, and efficiency across diverse operational environments (e.g., varying lighting, weather conditions, terrain types). Explore and integrate Generative AI (GenAI) models where applicable for tasks like synthetic data generation or image enhancement. Data Engineering & Preprocessing: Collect, clean, label, and preprocess large-scale image and video datasets (including satellite imagery, drone footage, and ground sensor data). Develop and maintain robust data pipelines for efficient data ingestion, transformation, and preparation for AI model training and evaluation. Ensure the quality, integrity, and security of sensitive defense-related data. Algorithm Optimisation & Deployment: Optimize AI models for efficient deployment on resource-constrained edge devices (e.g., drones, ground sensors) and high-performance computing (HPC) environments for real-time inference. Implement techniques such as model compression, quantization, and inference optimization to enhance performance on target hardware. Monitor and maintain the performance of deployed AI models in production environments. Research and Innovation: Stay abreast of the latest research trends and advancements in Machine Learning, Deep Learning, and Computer Vision, particularly those relevant to the defense domain. Conduct experimental research and develop innovative solutions to address complex, real-world challenges in defense intelligence. Contribute to intellectual property generation, including patents and research publications. Team Collaboration: Collaborate effectively with cross-functional teams, including Software Engineers, Data Engineers, DevOps Engineers, and Defence Domain Experts, to integrate AI solutions into larger systems. Clearly communicate complex technical concepts, findings, and recommendations to both technical and non-technical stakeholders. Participate in code reviews, knowledge sharing sessions, and contribute to a collaborative R&D culture. Security & Compliance: Adhere to stringent cybersecurity protocols and secure coding practices for all AI model development and deployment. Ensure compliance with relevant Indian defense regulations and data security standards. Required Qualifications & Skills: Education: Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field. Experience: [Specify preferred years of experience, e.g., 2+ years for Mid-level, 5+ years for Senior-level] of hands-on experience in AI/ML model development, specifically in Computer Vision. Proven experience in building and deploying Deep Learning models for real-world applications. Technical Proficiency: Programming Languages: Expert-level proficiency in Python, with extensive experience using scientific computing libraries (NumPy, Pandas, Scikit-learn). Proficiency in C++ is a significant advantage for high-performance applications. Deep Learning Frameworks: Strong hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch). Computer Vision Libraries/Techniques: In-depth knowledge and practical experience with OpenCV, and familiarity with various computer vision algorithms (e.g., object detection models like YOLO, Faster R-CNN; segmentation, tracking algorithms). Data Management: Experience with data cleaning, feature engineering, and working with large datasets. Familiarity with SQL and/or NoSQL databases is a plus. Cloud Platforms: Experience with cloud computing platforms (AWS, Azure, or GCP) for AI model training and deployment is desirable. Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to translate complex defence requirements into effective AI solutions. Learning Agility: Eagerness to learn new technologies, adapt to evolving research trends, and continuously improve technical skills. Communication: Strong verbal and written communication skills, capable of articulating technical concepts clearly. Preferred Qualifications (Bonus Points): Prior experience working on projects related to the defense sector, aerospace, or intelligence agencies. Familiarity with specific Indian defence regulations or standards. Experience with MLOps practices for deploying and managing AI models in production. Knowledge of explainable AI (XAI) techniques. Publications in top-tier AI/ML/Computer Vision conferences or journals. Experience with GPU optimisation (CUDA programming). Why Join Triumph Edge? Impactful Work: Contribute directly to strengthening India's national security and the "Atmanirbhar Bharat" initiative. Cutting-Edge Technology: Work on highly advanced AI and Deep Learning problems with real-world applications in defence. Innovation Culture: Be part of a dynamic R&D team that fosters creativity, continuous learning, and groundbreaking research. Growth Opportunities: Grow your career in a rapidly expanding sector with significant opportunities for professional development. Collaborative Environment: Work alongside brilliant minds, including experienced AI researchers, engineers, and defence domain experts. To Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role. Job Types: Part-time, Permanent, Internship, Contractual / Temporary, Freelance Contract length: 36 months Pay: ₹266,866.36 - ₹1,794,918.81 per year Expected hours: 30 per week Benefits: Cell phone reimbursement Work Location: In person

Job description We are seeking a highly motivated and curious AI/ML/DL Intern to join our data science and AI team. You will work on real-world problems involving machine learning, deep learning, and artificial intelligence, supporting the development, training, and deployment of models and algorithms. This is an excellent opportunity for students or recent graduates to gain hands-on experience in building intelligent systems and applying theoretical knowledge to industry-level challenges. Qualification Any Degree/Diploma/+2 Key Responsibilities Assist in developing and training machine learning and deep learning models. Preprocess, clean, and analyze large datasets from various sources. Conduct experiments to evaluate and improve model performance. Implement AI solutions for tasks such as classification, regression, clustering, NLP, or computer vision. Collaborate with data scientists, engineers, and product teams to understand requirements. Document model performance, methodology, and outcomes. Stay updated with the latest research and trends in AI/ML/DL. What You Will Gain Real-world experience in building and testing AI/ML systems. Opportunity to work on impactful projects. Interested candidates may apply by mailing their resume on hr@wahylab.com or by filling application form.

New Lead Analytics Specialist Bangalore Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital). The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.

Job Summary: We are looking for a highly skilled and motivated AI/ML Expert to lead the development and deployment of advanced machine learning models and AI solutions. The ideal candidate will have strong experience in data science, deep learning, and AI engineering, and will be responsible for designing intelligent systems that solve real-world business problems. Key Responsibilities: Design, build, and deploy scalable machine learning and deep learning models. Work on projects involving supervised, unsupervised, and reinforcement learning. Collect, clean, and preprocess large-scale structured and unstructured datasets. Research and prototype cutting-edge AI techniques (e.g., NLP, computer vision, generative models). Collaborate with data engineers, product managers, and software developers to integrate AI solutions into production. Monitor and evaluate model performance, and implement improvements as needed. Stay up-to-date with the latest AI/ML research, tools, and technologies. Develop and maintain reusable ML pipelines and model lifecycle management. Ensure ethical AI development practices, including model interpretability and fairness. Required Qualifications: Graduate BE/B.Tech and Postgraduate - MCA/MTech with specialization in computers /Electronics /IT or M.Sc.in CS/IT/Physics/Mathematics/Stats / Electronics Language-: JS , Python , HTML5/CSS, Platform-: MySQL , PostgreSQL, Tools-: ML Tools and Libraries, Expertise-: API Integration Expert 3+ years of experience in AI/ML development and deployment . Proficiency in programming languages such as Python (e.g., scikit-learn, TensorFlow, PyTorch), R, or Julia. Experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Strong understanding of statistics, linear algebra, and optimization techniques. Experience with cloud platforms like AWS, GCP, or Azure. Proficient in using data science tools and libraries (NumPy, Pandas, OpenCV, spaCy, Hugging Face, etc.). Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹85,000.00 - ₹90,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person

AI/ML Engineer / Data Scientist Company: Triumph Edge Innovations Pvt. Ltd. Location: Ernakulam , Kerala, India Job Type: Full-time, Part time About Triumph Edge: Triumph Edge is a leading Indian technology firm dedicated to providing cutting-edge AI-Powered Image Analysis (AI-PIA) solutions for India's defense sector. In alignment with the "Atmanirbhar Bharat" and "Make in India" initiatives, we are committed to building indigenously developed, state-of-the-art AI systems for Intelligence, Surveillance, and Reconnaissance (ISR). Our mission is to empower our armed forces with efficient, secure, and actionable intelligence, contributing directly to national security. Job Summary: As an AI/ML Engineer / Data Scientist at Triumph Edge, you will be an integral part of our R&D team, responsible for designing, developing, and deploying advanced AI-powered image analysis systems for defence applications. You will have a direct impact on building and optimizing models that can analyse large-scale visual datasets, detect threats, and enhance situational awareness. We are seeking individuals passionate about national security and capable of solving complex challenges using cutting-edge AI technologies. Key Responsibilities and Duties: AI/ML Model Development: Design, train, and evaluate state-of-the-art Deep Learning and Computer Vision models for critical defence requirements (e.g., object detection, classification, tracking, change detection, anomaly detection, facial recognition). Work extensively with various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models. Continuously improve model performance, accuracy, and efficiency across diverse operational environments (e.g., varying lighting, weather conditions, terrain types). Explore and integrate Generative AI (GenAI) models where applicable for tasks like synthetic data generation or image enhancement. Data Engineering & Preprocessing: Collect, clean, label, and preprocess large-scale image and video datasets (including satellite imagery, drone footage, and ground sensor data). Develop and maintain robust data pipelines for efficient data ingestion, transformation, and preparation for AI model training and evaluation. Ensure the quality, integrity, and security of sensitive defense-related data. Algorithm Optimisation & Deployment: Optimize AI models for efficient deployment on resource-constrained edge devices (e.g., drones, ground sensors) and high-performance computing (HPC) environments for real-time inference. Implement techniques such as model compression, quantization, and inference optimization to enhance performance on target hardware. Monitor and maintain the performance of deployed AI models in production environments. Research and Innovation: Stay abreast of the latest research trends and advancements in Machine Learning, Deep Learning, and Computer Vision, particularly those relevant to the defense domain. Conduct experimental research and develop innovative solutions to address complex, real-world challenges in defense intelligence. Contribute to intellectual property generation, including patents and research publications. Team Collaboration: Collaborate effectively with cross-functional teams, including Software Engineers, Data Engineers, DevOps Engineers, and Defence Domain Experts, to integrate AI solutions into larger systems. Clearly communicate complex technical concepts, findings, and recommendations to both technical and non-technical stakeholders. Participate in code reviews, knowledge sharing sessions, and contribute to a collaborative R&D culture. Security & Compliance: Adhere to stringent cybersecurity protocols and secure coding practices for all AI model development and deployment. Ensure compliance with relevant Indian defense regulations and data security standards. Required Qualifications & Skills: Education: Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field. Experience: [Specify preferred years of experience, e.g., 2+ years for Mid-level, 5+ years for Senior-level] of hands-on experience in AI/ML model development, specifically in Computer Vision. Proven experience in building and deploying Deep Learning models for real-world applications. Technical Proficiency: Programming Languages: Expert-level proficiency in Python, with extensive experience using scientific computing libraries (NumPy, Pandas, Scikit-learn). Proficiency in C++ is a significant advantage for high-performance applications. Deep Learning Frameworks: Strong hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch). Computer Vision Libraries/Techniques: In-depth knowledge and practical experience with OpenCV, and familiarity with various computer vision algorithms (e.g., object detection models like YOLO, Faster R-CNN; segmentation, tracking algorithms). Data Management: Experience with data cleaning, feature engineering, and working with large datasets. Familiarity with SQL and/or NoSQL databases is a plus. Cloud Platforms: Experience with cloud computing platforms (AWS, Azure, or GCP) for AI model training and deployment is desirable. Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to translate complex defence requirements into effective AI solutions. Learning Agility: Eagerness to learn new technologies, adapt to evolving research trends, and continuously improve technical skills. Communication: Strong verbal and written communication skills, capable of articulating technical concepts clearly. Preferred Qualifications (Bonus Points): Prior experience working on projects related to the defense sector, aerospace, or intelligence agencies. Familiarity with specific Indian defence regulations or standards. Experience with MLOps practices for deploying and managing AI models in production. Knowledge of explainable AI (XAI) techniques. Publications in top-tier AI/ML/Computer Vision conferences or journals. Experience with GPU optimisation (CUDA programming). Why Join Triumph Edge? Impactful Work: Contribute directly to strengthening India's national security and the "Atmanirbhar Bharat" initiative. Cutting-Edge Technology: Work on highly advanced AI and Deep Learning problems with real-world applications in defence. Innovation Culture: Be part of a dynamic R&D team that fosters creativity, continuous learning, and groundbreaking research. Growth Opportunities: Grow your career in a rapidly expanding sector with significant opportunities for professional development. Collaborative Environment: Work alongside brilliant minds, including experienced AI researchers, engineers, and defence domain experts. To Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role. Job Types: Part-time, Permanent, Internship, Contractual / Temporary, Freelance Contract length: 36 months Pay: ₹266,866.36 - ₹1,794,918.81 per year Expected hours: 30 per week Benefits: Cell phone reimbursement Work Location: In person

Job Summary We are looking for an experienced AI & Generative AI Developer who can work across the AI spectrum—from classical machine learning models to cutting-edge Generative AI applications. The role demands strong experience in building ML models using regression, classification, and tree-based algorithms, along with hands-on exposure to LLMs and generative frameworks like GPT, Stable Diffusion, and LangChain. Key Responsibilities 🔹 Classical AI/ML Design and implement supervised and unsupervised ML models including: Linear Regression, Logistic Regression Decision Trees, Random Forest, XGBoost Naive Bayes, K-Means, SVM, PCA, etc. Preprocess and analyse structured/tabular datasets Evaluate models using metrics like accuracy, precision, recall, ROC-AUC, and RMSE Build predictive models, deploy them into production, and monitor performance Collaborate with business teams to translate requirements into ML use cases 🔹 Generative AI (GenAI) Build and fine-tune LLMs (e.g., GPT, LLaMA, PaLM) for summarisation, Q&A, document generation, etc. Implement prompt engineering, RAG pipelines, and vector database integrations Use libraries like Hugging Face Transformers, LangChain, and LlamaIndex Develop APIs to expose GenAI models in real-time apps Optimise model inference using quantisation, batching, etc. Ensure safe, explainable, and bias-free output in alignment with AI ethics guidelines Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field Strong programming skills in Python, with experience in NumPy, Pandas, Scikit-learn Proficiency in classical ML algorithms (regression, trees, naive Bayes, etc.) Experience with LLM frameworks like OpenAI API, Hugging Face, and LangChain Understanding of transformer architecture, NLP, embeddings, and tokenisation Familiarity with REST API development using FastAPI/Flask Exposure to cloud platforms (AWS/GCP/Azure) and Docker/Kubernetes Preferred / Nice To Have Experience with deep learning (TensorFlow, PyTorch) Exposure to image/audio/video generation using models like DALL·E, Stable Diffusion, Whisper Familiarity with RAG, LLMOps, and vector stores (FAISS, Pinecone, Weaviate) Knowledge of MLOps pipelines, model monitoring, and CI/CD for ML

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc.