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Location: Remote (India) Type: Full-Time Experience: 0–1 year Industry: Artificial Intelligence / Data Science / Tech About Us: We’re a fast-moving, AI-native startup building scalable intelligent systems that harness the power of data to solve real-world problems. From LLMs to predictive modeling, we thrive on transforming raw information into actionable intelligence using the latest in machine learning and data automation. Role Overview: We’re hiring a Junior Data Analyst to join our remote team. You'll collaborate with data scientists, ML engineers, and product teams to clean, analyze, and structure datasets that power next-gen AI products. If you love data, patterns, and productivity hacks using AI tools — this is your chance to break into the AI industry. Key Responsibilities: Clean, preprocess, and organize large volumes of structured and unstructured data Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights Support feature engineering and contribute to AI/ML model preparation Develop dashboards, reports, and visualizations using Power BI, Tableau, Seaborn, etc. Use tools like Python, SQL, Excel , and AI assistants to streamline repetitive tasks Collaborate cross-functionally to support data-driven decision-making Maintain documentation for data workflows and ensure data integrity Tech Stack & Tools You'll Work With: Languages: Python (Pandas, NumPy), SQL, R (optional) Data Tools: Jupyter, Excel/Google Sheets, BigQuery, Snowflake (optional) Visualization: Power BI, Tableau, matplotlib, Seaborn, Plotly Productivity + AI Tools: Gemini CLI , Claude Code , Cursor , ChatGPT Code Interpreter , etc. Project Tools: GitHub, Notion, Slack, Jira You’re a Great Fit If You Have: A strong analytical mindset and curiosity for patterns in data Solid foundation in data cleaning, transformation, and EDA Basic understanding of databases and querying using SQL Familiarity with at least one scripting language (preferably Python) Interest in AI and how data powers intelligent systems Bonus: Experience with AI programming assistants or interest in using them Requirements: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics , or related field 0–1 year of professional experience in a data-focused role Strong communication skills and ability to work independently in a remote setup Based in India with reliable internet access and a good work-from-home environment What You’ll Get: Work at the intersection of data analytics and AI Remote-first flexibility and asynchronous work culture Mentorship from experienced data scientists and AI engineers Exposure to real-world AI projects and best practices Access to premium AI productivity tools and training resources Opportunity to grow into senior analytics or data science roles

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Machine Learning/Artificial Intelligence Engineer, you should have experience with: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies GPT, BERT, or other language models. - Experience in building GenAI applications, RAG-based architectures. - Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems. - Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training. - Deployment: Build and deploy AI/ML solutions into production environments using appropriate tools and frameworks. - Knowledge of one of the cloud platforms is a must: AWS/AZURE. - Collaboration: Work closely with product managers, data engineers, and software developers to integrate AI capabilities into products and ensure alignment with business objectives. - Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed. - Strong Affinity to stay informed on the latest trends, tools, and research in AI and machine learning space. - Support and contribute to data collection efforts, as needed. - Verify data quality to ensure accurate analysis and reporting. - Help identify the business data needed to produce the most useful insights and future analytics. - Utilize data to make actionable recommendations at all levels. - Monitor data management processes to ensure data quality and consistency. - Monitor system performance, data integrity, and usage metrics. - Contribute to data dictionary, standards, training, and ongoing updates. Some other highly valued skills may include: - Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms. - Experience in setting up DevOps pipelines. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role: To design, develop, and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities: - Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. - Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. - Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. - Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations: - To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. - OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. - Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. - Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. - Take ownership of managing risk and strengthening controls in relation to the work done. - Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. - Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. - Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. - Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Machine Learning/Artificial Intelligence Engineer you should have experience with: Good years of experience in IT with background in Development, Machine Learning and/or Data analysis. Should have hands-on experience of NLP/AI/ML tool & technologies – GPT, BERT or other language models. Should have experience in building GenAI applications, RAG based architectures. Experience in Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems. Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training. Deployment: Build and deploy Al/ML solutions into production environments using appropriate tools and frameworks. Knowledge of one of the cloud platforms is must : AWS/AZURE. Collaboration: Work closely with product managers, data engineers, and software developers to integrate Al capabilities into products and ensure alignment with business objectives. Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed. Strong Affinity to stay informed on the latest trends, tools and research in Al and machine learning space . Support and contribute to data collection efforts, as needed. Verify data quality to ensure accurate analysis and reporting. Help identify the business data needed to produce the most useful insights and future analytics. Utilize data to make actionable recommendations at all levels. Monitor data management processes to ensure data quality and consistency. Monitor system performance, data integrity and usage metrics. Contribute to data dictionary, standards, training, and ongoing updates. Some Other Highly Valued Skills May Include Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms. Experience in setting up DevOps pipelines. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

We are looking for a skilled and passionate AI/ML Engineer to join our team and help us build intelligent systems that leverage machine learning and artificial intelligence. You will design, develop, and deploy machine learning models, work closely with cross-functional teams, and contribute to cutting-edge solutions that solve real-world problems. Key Responsibilities Design and implement machine learning models and algorithms for various use cases (e.g., prediction, classification, NLP, computer vision). Analyze and preprocess large datasets to build robust training pipelines. Conduct research to stay up-to-date with the latest AI/ML advancements and integrate relevant techniques into projects. Train, fine-tune, and optimize models for performance and scalability. Deploy models to production using tools such as Docker, Kubernetes, or cloud services (AWS, GCP, Azure). Collaborate with software engineers, data scientists, and product teams to integrate AI/ML solutions into applications. Monitor model performance in production and continuously iterate for improvements. Document design choices, code, and models for transparency and reproducibility. Preferred Qualifications Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). Background in deep learning architectures such as CNNs, RNNs, GANs, or transformer models. Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). Contributions to open-source AI/ML projects or publications in relevant conferences/journals.

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Vadodara) Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, JAX, Reinforcement Learning, Scikit-learn, Generative AI, Natural Language Processing (NLP), PyTorch, Retrieval-Augmented Generation, Computer Vision An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : USD 80000.00 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Vadodara) Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - An USA based Series A funded Technology Startup) What do you need for this opportunity? Must have skills required: Generative Models, JAX, Reinforcement Learning, Scikit-learn, Generative AI, Natural Language Processing (NLP), PyTorch, Retrieval-Augmented Generation, Computer Vision An USA based Series A funded Technology Startup is Looking for: Senior Deep Learning Engineer Job Summary: We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what’s possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : MySQL,Python,Bigdata,Data Science,Data Analytics,Data Analysis,Cloud,AWS,Business Intelligence (BI),Statistical Modeling,R,Big Data Platforms,Tableau Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Primary Responsibility: Collect, clean, and analyze data from various sources. Assist in creating dashboards, reports, and visualizations. We are looking for a highly motivated Data Analyst Intern to join our team remotely. As a Data Analyst Intern, you will work closely with our data team to collect, clean, analyze, and visualize data to provide actionable insights. This internship is an excellent opportunity to gain hands-on experience in data analytics while working on real-world projects. Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description We’re looking for a passionate and skilled AI/ML Engineer to join our team in developing cutting-edge web and mobile applications powered by artificial intelligence. You’ll work closely with product managers, designers, and developers to integrate intelligent features that transform user experience and provide real-world value. This is an exciting opportunity to work at the intersection of machine learning , natural language processing , and full-stack development , applying your skills to real products used by thousands. Key Responsibilities Design, develop, and deploy machine learning models for web and mobile applications Collaborate with frontend and backend teams to integrate ML features seamlessly into the product Preprocess and analyze structured and unstructured data for training and evaluation Build pipelines for model training, testing, deployment, and monitoring Implement AI features such as recommendation systems, chatbots, NLP pipelines, or computer vision Optimize models for performance and scalability on both web and mobile platforms Stay up-to-date with advancements in AI/ML and assess their applicability to the product Job Type: Full-time Pay: ₹20,000.00 - ₹70,000.00 per month Work Location: In person

Role Overview We are seeking a skilled and self-motivated AI/ML Engineer to join our growing team. You will be responsible for designing, developing, training, and deploying machine learning models and AI systems to solve practical, real-life problems. Key Responsibilities Design and implement machine learning models for real-world business applications. Analyze and preprocess large datasets from various structured and unstructured sources. Train, validate, and fine-tune models using classical ML and/or deep learning methods. Collaborate with product and engineering teams to integrate models into production systems. Build end-to-end ML pipelines (data ingestion → model training → deployment). Monitor and improve model performance over time with live feedback data. Document model architecture, performance metrics, and deployment processes. Required Skills and Experience 3–5 years of hands-on experience in AI/ML engineering. Strong knowledge of machine learning algorithms (classification, regression, clustering, etc.). Experience with deep learning frameworks (TensorFlow, PyTorch, Keras). Proficient in Python, with experience in libraries like scikit-learn, pandas, NumPy, etc. Experience with NLP, computer vision, or time-series models is a plus. Understanding of MLOps practices and tools (MLflow, DVC, Docker, etc.). Exposure to deploying ML models via REST APIs or cloud services (AWS/GCP/Azure). Familiarity with data versioning, model monitoring, and re-training workflows. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Published work on GitHub or contributions to open-source AI/ML projects. Certifications in AI/ML, cloud computing, or data engineering. Contact US Email: careers@crestclimbers.com Phone: +91 94453 30496 Website: www.crestclimbers.com Office: Kodambakkam, Chennai Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person Job Types: Full-time, Permanent Pay: ₹298,197.62 - ₹1,398,461.03 per year Work Location: In person Expected Start Date: 21/07/2025

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: 21th 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: 21th 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 : 21th 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.

Job Title: Data Science Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time role based on performance + Internship Certificate Optimspace.in Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects. 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 application with the subject line "Data Science Intern Application." 📅 Deadline: 21th July 2025 Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

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: 21th July 2025 Note: Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Location: Vadodara Type: Full-time / Internship Duration (for interns): Minimum 3 months Stipend/CTC: Based on experience and role About Gururo Gururo is an industry leader in practical, career-transforming education. With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies. Join our fast-paced, mission-driven team and work on AI/ML-powered platforms that impact thousands globally. Who Can Apply? Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields, with a strong passion for AI/ML. Freshers: 0–1 years of experience with academic or internship exposure to machine learning projects. Experienced Professionals: 1+ years of hands-on experience in AI/ML roles with a demonstrated portfolio or GitHub contributions. Key Responsibilities Design and develop machine learning models and AI systems for real-world applications Clean, preprocess, and analyze large datasets using Python and relevant libraries Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch Work on NLP, Computer Vision, or Recommendation Systems based on project needs Evaluate models with appropriate metrics and fine-tune for performance Collaborate with product, engineering, and design teams to integrate AI into platforms Maintain documentation, participate in model audits, and ensure ethical AI practices Use version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases) Must-Have Skills Strong Python programming skills Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch) Good understanding of core ML algorithms (classification, regression, clustering, etc.) Familiarity with data wrangling libraries (Pandas, NumPy) and visualization (Matplotlib, Seaborn) Experience working with Jupyter Notebooks and version control (Git) Basic understanding of model evaluation techniques and metrics Good to Have (Optional) Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs) Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.) Familiarity with Docker, APIs, and ML model deployment workflows Knowledge of MLOps tools and CI/CD for AI systems Kaggle profile, published papers, or open-source contributions What You’ll Gain Work on real-world AI/ML problems in the fast-growing EdTech space Learn from senior data scientists and engineers in a mentorship-driven environment Certificate of Internship/Experience & Letter of Recommendation (for interns) Opportunities to lead research-driven AI initiatives at scale Flexible work hours and performance-based growth opportunities End-to-end exposure — from data collection to model deployment in production

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. AI Engineer Role Overview: We are seeking a highly skilled and experienced AI Engineers with a minimum of 2 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. Your technical responsibilities: Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Design, develop, and maintain efficient, reusable, and reliable Python code 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. 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. 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. Write unit tests and conduct code reviews to ensure high-quality, bug-free software. Troubleshoot and debug applications to optimize performance and fix issues. Work with databases (SQL, NoSQL) and integrate third-party APIs. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 2 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence 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. 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. 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). 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. 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: EY GDS – Data and Analytics (D&A) – Sr.Manager – Quantum Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ 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. Assist in the development and implementation of AI models and systems, leveraging techniques such as 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, 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. A Ph.D. is a plus. Minimum 14+ years of experience in Data Science and Machine Learning. Working knowledge of Quantum Engineering Quantum Machine Learning (Data encoding, HHL Algorithm implementation, Quantum linear regression, Euclidean Distance calculations, K-Means clustering, PCA, SVM implementation using Qiskit) Quantum Algorithms (Qiskit, Deutsch Jozsa, Bernstein Vajirani, Simon’s Algorithms) Quantum Deep Learning (Hybrid Quantum Neural Networks) Open-source Quantum Frameworks Qiskit based programming Quantum Optimization (Variational Quantum Eigensolver, Expectation Computation, VQE algorithm, Max-cut graph clustering, Adiabatic Theorem, Approximate Optimization Algorithm, etc) Python as a Programming Language 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. Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist 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. Assist in the development and implementation of AI models and systems, leveraging techniques such as 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. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. 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. 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: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD 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.

SUMMARY An Associate Machine Learning (ML) Scientist at Wadhwani AI will build scientifically rigorous and robustly evaluated AI solutions that will be deployed in order to bring AI to the benefit of underserved billions across the developing world.The role is ideal for someone with a strong foundation in machine learning and at least 2 years of experience, including hands-on expertise in speech processing or speech recognition. ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https://www.wadhwaniai.org/culture/ ROLES AND RESPONSIBILITIES Translate social sector problems into well-defined machine learning problems Design and implement machine learning models and solutions Collect, curate, preprocess, and transform data for modeling Train, validate, and evaluate machine learning models Support the deployment of scalable ML solutions in real-world environments Define and track metrics to measure model performance and impact Collaborate with cross-functional teams including engineers and domain experts Interact with social sector partners to gather contextual and domain insights Document models, processes, and key learnings Contribute to team knowledge sharing and continuous improvement REQUIREMENTS Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, etc.) Hands-on experience with applied machine learning projects Proficiency in programming and scripting languages (e.g., Python, R) Strong skills in data mining, data cleaning, and exploratory data analysis Experience in building, training, and implementing ML or statistical models Ability to adapt ML solutions to the constraints of real-world, large-scale deployments Strong communication and collaboration skills Enthusiasm for working on socially impactful projects and learning in dynamic environments We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.

Line of Service Tax Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decision-making for clients. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : We are seeking a highly skilled and passionate Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will be responsible for developing, implementing, and optimizing cutting-edge generative models to create innovative solutions in the area of content creation, document processing, code generation, etc. You will work closely with product managers to translate research into impactful products and services. Responsibilities: As an AI Engineer with experience of 3 to 4 years, you will be responsible for providing technical solution to Business problem. You need to deliver solutions with right quality on right time and with optimum cost. Model Development and Implementation: Strong understanding of deep learning concepts and techniques, particularly in generative models. Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc. Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. Proficiency in programming languages such as Python. Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Proven experience in developing and deploying generative AI models. Experience with large-scale data processing and analysis. Experience working with different data modalities (e.g., images, text, audio). Model Development and Implementation: Design, develop, and train state-of-the-art generative models (e.g., GANs, VAEs, Transformers, Diffusion Models) for various applications. Implement and optimize deep learning architectures for efficient training and inference. Experiment with different model architectures, hyperparameters, and training techniques to improve performance. Collect, clean, and preprocess large datasets for training generative models. Evaluation and Optimization: Evaluate the performance of generative models using appropriate metrics and benchmarks. Identify and address performance bottlenecks and improve model efficiency. Conduct thorough testing and validation to ensure model reliability and robustness. Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. Stay up-to-date with the latest advancements in generative AI and deep learning. Deployment and Maintenance: Deploy trained models to production environments. Monitor model performance and maintain model stability. Troubleshoot and resolve issues related to model deployment and performance. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Passion for innovation and continuous learning. Mandatory Skill Sets: Gen AI Engineer Preferred Skill Sets: Gen AI Engineer Years Of Experience Required: 3 to 7 Yrs Education Qualification: B.Tech/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Active Listening, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

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

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Key Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Data Science Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time role based on performance + Internship Certificate Optimspace.in Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects. 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 application with the subject line "Data Science Intern Application." 📅 Deadline: 20 th July 2025 Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Skill required: Marketing Operations - Marketing Automation & Technology Execution Designation: Marketing Platform Auto Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We are seeking a talented and motivated AI Developer to join our dynamic team. As an AI Developer, you will be responsible for developing, implementing, and optimizing AI models and algorithms to solve complex business challenges. You will work closely with cross-functional teams to design intelligent solutions that scale and meet the needs of our projects. What are we looking for? Develop AI Models: Design and build machine learning, deep learning, and NLP models to automate business processes and enhance decision-making. Data Processing: Collect, clean, and preprocess data to ensure it is ready for training AI models. Model Optimization: Tune and optimize models to improve performance and scalability. Collaborate with Teams: Work closely with data scientists, engineers, and product managers to define and implement AI solutions. AI Research: Stay updated with the latest trends in artificial intelligence and machine learning and apply state-of-the-art techniques in your work. Deploy AI Solutions: Work on integrating AI models into production systems and ensure they work seamlessly. Testing & Validation: Conduct thorough testing of AI models to ensure they are accurate, efficient, and robust. Documentation: Maintain detailed documentation for AI algorithms, processes, and code. Education: Bachelor’s or master’s degree in computer science, Data Science, AI, Machine Learning, or a related field. Experience: Proven experience (2+ years) in developing and deploying AI models. Programming Languages: Proficient in Python, with experience in AI/ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or similar. Backend framework like Django/Flask. Machine Learning: Strong understanding of machine learning algorithms and frameworks. Data Handling: Experience with data manipulation and preprocessing using libraries like Pandas, NumPy, etc. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other deep learning architectures. Cloud Platforms: Experience with cloud services like AWS, GCP, or Azure for deploying AI models. Database Knowledge: Knowledge of SQL, NoSQL databases, and data storage solutions. Version Control: Proficiency in Git for version control and collaboration. Problem-Solving: Excellent problem-solving and analytical skills. Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Strong communication skills to explain complex AI concepts to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment. Eagerness to learn and stay updated with new AI technologies and industry trends.