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We are Hiring!!! Job Title: AI Developer Job Summary: We are seeking a highly skilled AI Developer to join our team. The successful candidate will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to solve complex business problems. Key Responsibilities: - Design and develop AI and ML models using techniques such as deep learning, natural language processing, and computer vision - Work with large datasets to train and test AI models - Collaborate with cross-functional teams to identify business problems and develop AI solutions - Deploy AI models to production environments and ensure scalability and reliability - Continuously monitor and improve AI model performance - Stay up-to-date with industry trends and advancements in AI and ML Requirements: - Strong background in computer science, mathematics, or a related field - Experience with AI and ML frameworks such as TensorFlow, PyTorch, or scikit-learn - Proficiency in programming languages such as Python, Java, or C++ - Experience with data preprocessing, feature engineering, and model optimization - Strong analytical and problem-solving skills Nice to Have: - Experience with cloud-based AI platforms such as AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning - Knowledge of containerization using Docker and orchestration using Kubernetes - Experience with Agile development methodologies How to Apply: Submit your resume and cover letter to hr@akhiraservices.com Connect with Us Call us at +91 78454 16995 If you're a skilled AI developer looking to build innovative solutions and drive business impact, we'd love to hear from you! Job Types: Full-time, Permanent Pay: ₹6,000.00 - ₹20,000.00 per month Location Type: In-person Schedule: Day shift Location: Coimbatore, Tamil Nadu (Required) Work Location: In person

Job Summary We are seeking a highly skilled and innovative AI Specialist to join our technology team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science. The AI Specialist will play a crucial role in developing and implementing AI solutions to address business challenges and enhance our products and services. Responsibilities AI Solution Development: Design, develop, and implement AI models and algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate AI solutions into existing applications and systems. Machine Learning: Apply machine learning techniques to analyze large datasets and derive meaningful insights. Develop and train machine learning models for various applications. Natural Language Processing (NLP): Implement NLP algorithms to process and analyze unstructured data, including text and speech. Develop chatbots, virtual assistants, and other NLP-based applications. Data Preprocessing and Feature Engineering: Conduct data preprocessing, cleaning, and feature engineering to prepare datasets for AI modeling. Identify and extract relevant features for improved model performance. Model Evaluation and Optimization: Evaluate the performance of AI models using appropriate metrics. Optimize models for accuracy, speed, and scalability. Research and Innovation: Stay informed about the latest trends and advancements in AI and machine learning. Research and experiment with new algorithms and techniques to drive innovation. Collaboration: Collaborate with data engineers, software developers, and domain experts to understand requirements and constraints. Provide technical guidance to cross-functional teams. Documentation: Create and maintain comprehensive documentation for AI models, algorithms, and implementations. Prepare documentation for knowledge sharing and training purposes. Qualifications Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Proven experience as an AI Specialist or in a similar role. Strong programming skills, with proficiency in languages such as Python or R. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries. Knowledge of NLP frameworks and tools (e.g., NLTK, spaCy). Solid understanding of data science concepts, statistical methods, and model evaluation metrics. Excellent problem-solving and analytical skills. Effective communication and collaboration abilities.

Selected Intern's Day-to-day Responsibilities Include Research, identify, and understand business requirements to identify opportunities for applying predictive modeling and machine learning techniques Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define project objectives and requirements Design and implement predictive modeling and machine learning solutions, including data preprocessing, feature engineering, and model selection Develop and deploy predictive software applications into production, leveraging Python (or similar scripting languages) for efficient development Expertise in training and fine-tuning LLMs on diverse datasets, ensuring superior performance, and adapting models for specific applications and domains. Work with cloud-native solutions on platforms such as AWS, GCP, or Azure for scalability and flexibility Apply a range of machine learning algorithms for different tasks, including classification (SVM, decision tree, random forest, neural network), regression (linear, polynomial, logistic, etc), and graph theory (network analytics) Utilize classical optimization techniques such as gradient descent and others for model optimization and parameter tuning Utilize deep learning techniques, including LSTM, convolutional neural networks (CNN), and recurrent neural networks (RNN), for tasks such as natural language processing, image recognition, or time series analysis Experience with training ML models using Pytorch or tensorflow. About Company: We deliver business growth by providing AI-powered data enrichment. Currently working in stealth mode.

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile About KPMG In India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. >> Role & Responsibilities Perform model validation for various supervised and unsupervised AI/ML models pertaining to financial crime compliance. Assess model design, methodology, assumptions, limitations and performance matrix. Validate data quality, feature engineering and preprocessing steps. Conduct robustness, sensitivity and stability testing. Evaluate model explainability using tools such as SHAP, LIME. Review model documentation for completeness and regulatory compliance. Develop and test statistical and machine learning models for risk, fraud and business analytics. >> Key skills and tools: Programming: Python (must-have), R, SQL ML Libraries: scikit-learn, XGBoost, TensorFlow/PyTorch (basic), SHAP, LIME Validation Techniques: Cross-validation, back-testing, OOT testing, PSI/CSI Documentation & Reporting: Excellent communication, documentation, and stakeholder management skills. Tools: Jupyter, Git, MLFlow, Excel,Tableau/Power BI (for visualization) Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Qualifications TempHtmlFile Bachelor’s/master’s in computer science, Data Science, Statistics, Applied Math, or a related quantitative discipline. 3–4 years of experience in AI/ML model validation, development, or risk analytics.

Internship Overview Are you deeply fascinated by the power of Generative AI to create novel content or the ability of Computer Vision to make sense of the visual world? We're looking for enthusiastic and talented AI Interns passionate about these cutting-edge fields to join our team. This internship offers a unique opportunity to gain hands-on experience by working on real-world projects, contributing to innovative solutions in visual intelligence and content generation, and learning from experienced professionals. You'll play a crucial role in supporting our advanced AI initiatives from data preparation to model deployment. What You'll Do As an AI Intern with a focus on Generative AI and Computer Vision technologies, you'll work closely with our Data Science Engineers, contributing to various stages of the AI development lifecycle. Your responsibilities may include: Data Preparation & Annotation: Assist in collecting, cleaning, preprocessing, and annotating large visual and textual datasets tailored for Generative AI and Computer Vision models. Model Experimentation & Evaluation: Conduct experiments to test, evaluate, and fine-tune AI models for accuracy, performance, and scalability, with a focus on metrics relevant to generative and visual tasks. Research & Exploration: Research the latest advancements, architectures, and techniques in Generative AI (e.g., Transformers, Stable Diffusion, multimodal models) and Computer Vision (e.g., Vision Transformers). Prototyping & Implementation: Help in building prototypes and integrating Generative AI, Computer Vision, ML & Automation solutions into existing systems or applications. Generative AI Development: Assist in evaluating, fine-tuning Large Language Models (LLMs), Diffusion Models for tasks like image synthesis, text generation, code generation, or data augmentation. Experiment with prompt engineering techniques to optimize outputs from generative models. Explore new patterns, techniques in Agentic workflows, MCP etc Explore and implement techniques for controlling generated content and ensuring model safety/alignment. Computer Vision Solutions: Contribute to the development of Computer Vision models for tasks such as object detection, image segmentation, image classification, facial recognition, or video analysis. Work on data augmentation strategies specifically for visual datasets to improve model robustness. Implement and evaluate advanced image and video processing techniques. Documentation: Maintain clear and concise documentation of experiments, model development processes, and results. Collaboration: Actively participate in team discussions, brainstorm new ideas, and collaborate with cross-functional teams to align AI solutions with business objectives. Who Can Apply Recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning Strong foundational understanding of core AI and Machine Learning concepts and algorithms. Demonstrated interest or project experience in Generative AI (e.g., LLMs, GANs, VAEs, Diffusion Models) or Computer Vision (e.g., CNNs, object detection, image segmentation) Proficiency in at least one programming language, preferably Python, and familiarity with relevant libraries related to Generative AI, CV & General Machine Learning / Deep Learning Excellent analytical and problem-solving skills, with a keen eye for detail in visual data and model outputs. Strong communication and teamwork skills, with the ability to articulate technical concepts clearly. A strong desire to learn, adapt, and contribute in a fast-paced environment focused on innovation. About Cognologix Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business first approach to help meet our client’s strategic goals. We are an Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern and cloud-native way. Minimum Experience Internship Top Skill Data Science, Artificial Intelligence, Machine Learning Generative AI Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Employer Education

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows MLOPS concepts and containerization tools like Docker Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization. Good To Have Preferred industry exposure in Manufacturing Domain Product building experience Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers

About Us: Chimera Rocket Labs is a leading aerospace technology company focused on pioneering new solutions for space exploration. We are a team of innovators, engineers, and scientists dedicated to advancing space missions and technology. As part of our continued growth, we are looking for a Data Analyst Intern to join our remote team and gain hands-on experience in the field of data analysis within the aerospace industry. Position Overview: The Data Analyst Intern will work closely with our data science and engineering teams to analyze and interpret large datasets, generate meaningful insights, and support critical projects in aerospace technologies. This internship provides an excellent opportunity to apply academic knowledge to real-world problems, develop key data analysis skills, and contribute to mission-critical projects in space exploration. The ideal candidate will have a passion for data and technology, along with a strong willingness to learn and grow in a fast-paced, dynamic environment. Key Responsibilities: Assist in collecting, cleaning, and preprocessing datasets from various sources, ensuring data quality and consistency. Help perform exploratory data analysis (EDA) to identify patterns, trends, and insights within datasets. Support the development of data visualizations and dashboards to communicate findings to technical and non-technical teams. Assist in generating reports and presenting data-driven insights to help inform decision-making processes. Help design and implement basic data models and statistical analyses to solve real-world aerospace challenges. Collaborate with cross-functional teams to understand data requirements and assist in meeting project objectives. Gain experience with data analysis tools and technologies (e.g., Python, SQL, Excel, Tableau, etc.). Contribute to the creation and maintenance of data pipelines for data integration and analysis. Help troubleshoot and resolve data-related issues to ensure the smooth operation of ongoing projects. Participate in team meetings, brainstorming sessions, and other activities to contribute to project ideas and innovations. Qualifications: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong analytical skills with a passion for working with data. Proficiency in programming languages such as Python or R, especially for data analysis tasks. Basic knowledge of data analysis tools, such as SQL, Excel, or data visualization platforms like Tableau or Power BI. Familiarity with statistical methods and techniques for data analysis. Ability to work independently and manage time effectively in a remote work environment. Strong attention to detail, problem-solving skills, and a proactive attitude. Excellent communication skills, both written and verbal, to convey technical information to diverse audiences. A willingness to learn and develop new skills in data analysis, machine learning, and other emerging technologies. Preferred Qualifications: Previous internship or academic project experience involving data analysis. Exposure to cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and big data tools (e.g., Hadoop, Spark). Familiarity with machine learning concepts and tools is a plus. Experience with version control systems like Git. Interest or prior knowledge in aerospace, space technologies, or engineering. Why Join Chimera Rocket Labs? Gain hands-on experience in the high-tech aerospace industry while contributing to impactful space missions. Flexible remote work environment with a supportive and collaborative team. Opportunity to learn from experienced data scientists, engineers, and other professionals in a cutting-edge field. Competitive internship compensation and potential for future career opportunities. Enhance your skill set with exposure to advanced data analysis techniques, tools, and industry best practices. Join Chimera Rocket Labs as a Data Analyst Intern and take the first step towards a rewarding career in space technology and data science! 🚀 Show more Show less

Ascendeum is looking for mathematicians, with extensive hands-on experience in the field of data science, who can analyze large data sets efficiently to generate actionable business intelligence that drives peak performance for our clients. About Us: We provide AdTech strategy consulting to leading internet websites and apps hosting over 200 million monthly audiences worldwide. Since 2015, our consultants and engineers have consistently delivered intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns. Job Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns Helping develop reports and analysis. Present information using data visualisation techniques. Assessing tests, implementing new or upgraded software, and assisting with strategic decisions on new systems. Evaluating changes and updates to source production systems. Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks. Providing technical expertise in data storage structures, data mining, and data cleansing. Propose solutions and strategies to business challenges Desired Skills and Experience: Relevant 2+ years of experience in Data Analysis Complete understanding of Operations Research, Data Modelling, ML, and AI concepts. Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills. Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred Thank you for your interest in joining Ascendeum.

Role- AI/ML Engineer with Python Experience-4-9yrs Job location- Chennai Shift-3PM-12AM Responsibilities: o Design, develop, and implement AI/ML models and algorithms. o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. o Write clean, efficient, and well-documented code. o Collaborate with data engineers to ensure data quality and availability for model training and evaluation. o Work closely with senior team members to understand project requirements and contribute to technical solutions. o Troubleshoot and debug AI/ML models and applications. o Stay up-to-date with the latest advancements in AI/ML. o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. o Develop and deploy AI solutions on Google Cloud Platform (GCP). o Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. o Utilize Vertex AI for model training, deployment, and management. o Integrate and leverage Google Gemini for specific AI functionalities. Qualifications: o Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. o 3+ years of experience in developing and implementing AI/ML models. o Strong programming skills in Python. o Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. o Good understanding of machine learning concepts and techniques. o Ability to work independently and as part of a team. o Strong problem-solving skills. o Good communication skills. o Experience with Google Cloud Platform (GCP) is preferred. o Familiarity with Vertex AI is a plus. Show more Show less

Job Summary: Synopsys’ Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies – platforms, processes, data, and foundation models – to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps. We are seeking a highly skilled and experienced Staff AI Engineer to join our dynamic and innovative team. As a Sr Staff AI Engineer, you will play a critical role in designing, developing, and deploying advanced AI and machine learning solutions. You will collaborate with cross-functional teams to drive AI initiatives and contribute to the development of cutting-edge technologies that enhance our products and services. This role demands a deep understanding of generative AI algorithms, strong programming skills, and the ability to lead and mentor junior engineers. Key Responsibilities: AI/ML Solution Development: Design, develop, and deploy AI and machine learning models and algorithms to solve complex business problems. Technical Leadership: Provide technical leadership and mentorship to junior engineers and data scientists, guiding them in best practices and advanced techniques. Research & Innovation: Stay up to date with the latest advancements in AI and machine learning technologies and apply them to improve existing systems or develop new solutions. Collaboration: Work closely with product managers, software engineers, and other stakeholders to define project requirements, create technical specifications, and ensure successful implementation of AI solutions. Data Analysis & Preprocessing: Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models. Model Training & Evaluation: Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements. Deployment & Monitoring: Deploy AI models into production environments, and monitor their performance, making adjustments as necessary to maintain optimal operation. Documentation: Document AI models, algorithms, and methodologies to ensure reproducibility and knowledge sharing within the team. Compliance & Ethics: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field. PhD is a plus. Experience: Minimum of 8 years of experience in AI and machine learning, with a proven track record of deploying AI solutions in a production environment. Experience in designing and managing scalable platforms for AI/ML solutions. Technical Skills: Strong proficiency in programming languages such as Python, or C++. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of statistical analysis, data mining, and data visualization techniques. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum). Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Proven leadership and mentorship abilities. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. Inclusion and Diversity : Synopsys considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law.

Company Description Axiado is an AI-enhanced security processor company redefining the control and management of every digital system. The company was founded in 2017, and currently has 100+ employees. At Axiado, developing great technology takes more than talent: it takes amazing people who understand collaboration, respect each other, and go the extra mile to achieve exceptional results. It takes people who have the passion and desire to disrupt the status quo, deliver innovation, and change the world. If you have this type of passion, we invite you to apply for this job. Job Description We are on the lookout for a Machine Learning Engineer with a specialized focus on cybersecurity. The candidate should have a comprehensive understanding of the evolving landscape of cyber threats and be equipped with the skills to develop AI-driven solutions to these challenges. This role demands expertise in handling and mitigating sophisticated cyber-attacks such as ransomware, as well as ensuring high-level security in data centers and operational environments. Key Responsibilities: 1. End 2 End Machine Learning Pipeline Development: Design and manage end-to-end machine learning pipelines tailored for cybersecurity applications. Implement effective data preprocessing and feature engineering strategies specific to cyber threat detection. 2. Expertise in LLMs, Transformers, and Frameworks: Utilize large language models and transformers to analyze and predict cybersecurity threats. Proficient in frameworks like PyTorch and TensorFlow, applied in the context of cybersecurity. 3. Specialized in Cyber Threat Detection and Mitigation: Develop AI-based solutions for the detection and prevention of ransomware and other advanced cyber threats. Implement BMC (Baseboard Management Controller) level security measures for data center protection. Conduct machine learning-based behavioral analysis for routine operational environments to detect anomalies and prevent intrusion. 4. Edge Computing for Cybersecurity Applications: Optimize cybersecurity-focused machine learning models for deployment on edge devices. Address the unique challenges of implementing AI solutions in resource-constrained environments. 5. Professional and Research Expertise in Cybersecurity and AI: Prefer candidates with experience in cybersecurity and AI, with the ability to turn research into practical solutions. Actively engaging in research, staying abreast of the latest threats and technological advancements in cybersecurity. Qualifications 5+ years of experience in machine learning and cybersecurity. Bachelor's or Master’s degree in Computer Science, Cybersecurity, Engineering, or a related field with a focus on AI/ML. Strong programming skills in Python, with experience in relevant ML libraries and frameworks. Demonstrated ability to solve complex problems and a commitment to innovation in the field of cybersecurity. Excellent communication skills and the ability to work collaboratively in a team environment. Additional Information Axiado is committed to attracting, developing, and retaining the highest caliber talent in a diverse and multifaceted environment. We are headquartered in the heart of Silicon Valley, with access to the world's leading research, technology and talent. We are building an exceptional team to secure every node on the internet. For us, solving real-world problems takes precedence over purely theoretical problems. As a result, we prefer individuals with persistence, intelligence and high curiosity over pedigree alone. Working hard and smart, continuous learning and mutual support are all part of who we are. Axiado is an Equal Opportunity Employer. Axiado does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job requisition ID :: 84133 Date: Jun 18, 2025 Location: Delhi Designation: Manager Entity: Technology & Transformation- EAD- AI/ML- Generative AI- Manager Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Your work profile: We are looking for a highly skilled and experienced Generative AI & Agentic AI professionals with expertise in Python, Machine Learning, Data Science, and Statistics. The ideal candidate should have a strong background in Generative AI, NLP (Natural Language Processing), and conversational chatbot development. Additionally, experience with Lang Chain, using LLM's and proficiency in cloud platforms is required. The candidate should also have a advancedunderstanding of application deployments using frameworks such as Flask, Django, Fast API As a Generative AI Manager, you will be responsible for delivering innovative AI solutions to our clients. Your role will involve: Lead teams and do project delivery which will include Design, develop, and deploy generative AI models. Lead client conversations, manage teams, provide technical SME, assist in proposals Weightage given to candidates who have scaled from POC to scale up journey Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing advanced Gen AI techniques to develop solutions tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms,for deploying AI applications. Minimum of 8+ years of relevant professional experience in Python, Machine Learning/Deep Learning, Data Science, and Statistics. Strong expertise in NLP, Generative AI concepts, Lang Chain, Other alternative LLM frameworks and conversational chatbots. Should have strong knowledge and experience in working with Deep Learning projects using CNN, GAN, Transformers, Encoder and decoder algorithms or any other image generation and classification use cases. Familiarity with LLM's (Large Language Modeling) and their applications. Proficiency in cloud platforms like GCP/AWS, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in developing web applications using frameworks such as Flask, Django, Fast API. Proven track record of delivering successful AI projects and driving business impact. Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Job Overview We are seeking a dynamic AI/ML Executive who can lead end-to-end AI/ML projects , manage a small team, and deploy scalable solutions. The ideal candidate will have experience with core ML workflows and MLOps, and a strong grasp of AI functionalities such as Computer Vision, NLP, and Object Detection . Key Responsibilities Design and execute end-to-end AI/ML pipelines for real-world applications. Build and manage models in domains such as: Computer Vision (e.g., image classification, object detection, OCR) Natural Language Processing (NLP) (e.g., text classification, summarization, chatbots) Collaborate with cross-functional teams to translate business needs into technical solutions. Build and maintain REST APIs using FastAPI or similar frameworks. Deploy models using Kubernetes/Docker , with attention to scalability and monitoring. Mentor junior team members and oversee project timelines. Required Skills Strong programming skills in Python Experience with TensorFlow, PyTorch, OpenCV, HuggingFace, spaCy, YOLO , or similar frameworks Hands-on with MLOps tools : MLflow, DVC, or Kubeflow Model deployment using FastAPI , Docker , and Kubernetes Solid understanding of data preprocessing, model training, and evaluation for both structured and unstructured data Familiarity with version control (Git), CI/CD pipelines, and cloud platforms (AWS/GCP preferred) Preferred Qualifications Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related fields Prior experience leading small AI/ML teams or projects Exposure to geospatial AI, satellite imagery, or edge AI (bonus) W. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Work Location: In person

Job Title: Python AI/ML Developer Company: Weavers Web Solutions Private Limited Location: Kolkata Job Type: Full-Time Experience Level: 4 Years About Weavers Web Solutions Private Limited: Weavers Web Solutions is a leading technology-driven company specializing in providing innovative web and AI-driven solutions. We focus on delivering transformative products and services, leveraging emerging technologies like Artificial Intelligence, Machine Learning, and Data Science. Our team thrives on collaboration, problem-solving, and delivering exceptional results for our clients. Position Overview: We are looking for a highly skilled and experienced Python AI/ML Developer to join our growing team. You will be working on cutting-edge projects in AI, machine learning, and data analytics, helping us build intelligent systems that drive business success. The ideal candidate will have a strong background in Python programming, machine learning algorithms, data analysis, and model deployment. Key Responsibilities: Design, implement, and maintain scalable AI/ML models using Python. Collaborate with cross-functional teams to define project goals, data requirements, and deliverables. Develop machine learning pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Optimize existing ML models for better performance, scalability, and efficiency. Stay updated with the latest trends in AI/ML technologies and apply them to real-world projects. Use libraries such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and others to build models. Work with big data platforms and tools like Hadoop, Spark, and cloud-based services. Document solutions, processes, and best practices for team collaboration and knowledge sharing. Conduct data analysis, visualization, and reporting for business insights. Ensure model reproducibility and track experiment results using version control systems like Git. Provide technical leadership and mentoring to junior developers on AI/ML best practices. Required Skills and Qualifications: Experience: Minimum of 4 years of professional experience as an AI/ML Developer or Data Scientist. Programming Skills: Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch. Machine Learning Algorithms: In-depth understanding of supervised and unsupervised learning, deep learning, natural language processing (NLP), reinforcement learning, etc. Model Development: Experience in building and deploying AI/ML models in production environments. Data Handling: Solid understanding of data preprocessing, feature extraction, and data normalization. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Version Control: Proficiency with Git or similar version control systems. Problem Solving: Strong analytical and problem-solving skills with a passion for working with large datasets. Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Why Join Us? Innovation-Driven Culture: Work with a team of passionate professionals who are dedicated to pushing the boundaries of technology. Growth Opportunities: We offer a clear career progression path, along with opportunities to enhance your skills through training and exposure to the latest technologies. Collaborative Environment: Enjoy a collaborative, supportive, and flexible work culture. Competitive Compensation: We offer a competitive salary, benefits, and performance-based incentives. Work-Life Balance: Flexible working hours and the possibility of remote work. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Health insurance Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

The Opportunity Full responsibility of driving marketing and sales function initiatives along with Pricing specialist to support business for improving profitability, identifying the demand market, behavior analysis of products. Strong technical leadership to the team in analyzing the business by developing models which allow to make efficient decision making to improve business opportunities & profitability. You are responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics systems as well as process and tool support. How You’ll Make An Impact Responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics model as well as process and tool support. Understand the product & market segmentation of portfolio and build know-how of data eco systems in various process involved in Business. Prepare reports with clear information understanding the raw information and interpret the date in optimized KPIs (target achievement, Price performance, Order trend, pipeline development, etc), profitability. Collaborate with Global, HUB & Pricing specialist to develop and implement competitive strategies, etc. Be in charge of the development and updation of models using Python as well as related user training in order to increase the analytical capabilities of our sales management around the globe. Responsible to continuously improve process performance and data quality Document and follow the guidelines for the efficient business Assess data from different sources to gain insights into pricing strategies and market trends. Analyze historical sales data to identify trends, patterns, and insights that can drive business decisions. Develop and implement predictive models to forecast future sales and demand for power system products. Collaborate with CFT to understand business requirements and translate them into analytical solutions. Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy. Utilize machine learning algorithms and statistical techniques to build robust models. Continuously monitor and improve model performance based on feedback and new data. Stay updated with the latest industry trends and advancements in data science and machine learning. Responsible to ensure compliance with applicable procedures, and guidelines external and internal regulations,. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business Your Background Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field. Proven experience in data analysis, modeling, and machine learning. Proficiency in programming languages such as Python, R, or SQL. Strong understanding of statistical methods and machine learning algorithms. Experience with data visualization tools like Tableau, Power BI, or similar. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Knowledge of big data technologies and cloud platforms. Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders. Any graduation (Science, Statistics, Computer applications, Engineering) 4-7 years relevant experience Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Attention to detail and a commitment to delivering high-quality digital solutions Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation. Show more Show less

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303069 Show more Show less

Summary Position Summary The AI&E portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Senior Consultant As Senior Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Good interpersonal and communication skills Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries. Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving: Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability: Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership: Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen: Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 6 - 10 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. #HC&IE Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 302207 Show more Show less

Summary Position Summary The AI&E portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Consultant As Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving: Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability: Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership: Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen: Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 - 7 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. #HC&IE Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303048 Show more Show less

🤖 We're Hiring: Machine Learning Intern (Remote | Flexible Timing) 📍 Location: Remote 🕒 Work Style: Fully Flexible 💼 Type: Unpaid Internship (Skill-Focused) 📅 Apply By: 5th June Are you fascinated by AI, automation, and building smart solutions? Step into the world of Machine Learning with Skillfied Mentor and gain hands-on experience with real-world data and algorithms. This internship is your launchpad to explore the power of machine learning in a mentorship-driven, remote-first environment. 💻 What You’ll Learn & Do: Work on real-world datasets and ML problem statements Apply algorithms using Python, scikit-learn, Pandas, and more Learn the complete ML pipeline: data preprocessing → model training → evaluation Understand model tuning and performance optimization Get personalized feedback from experienced ML mentors 🎓 You’re a Great Fit If You: Have a basic understanding of Python and machine learning concepts Are curious, analytical, and passionate about solving problems Are excited to build practical ML models (not just theory!) Want to grow your portfolio with real project experience Are eager to learn and open to feedback 🌟 Why Join Us? ✅ 100% Remote ✅ Flexible hours — learn at your own pace ✅ Mentorship by experienced ML professionals ✅ Internship Certificate + LOR on successful completion ✅ Real project exposure to boost your confidence and resume 🔔 Note: This is an unpaid internship , focused on learning, mentorship, and practical exposure . 📥 How to Apply: 🗓️ Deadline: 25th June 🚀 Build your ML journey from the ground up with Skillfied Mentor . Because learning by doing is the best kind of learning. Show more Show less

🧠 Data Science Intern – Remote | Explore the World of AI & Data Are you fascinated by machine learning, data modeling, and real-world applications of AI? If you're ready to dive into the exciting world of data science, join Skillfied Mentor as a Data Science Intern and start building your future in tech. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Data Science Intern , you'll get hands-on exposure to real data problems, machine learning concepts, and practical projects. This internship is designed to give you experience that matters — even without prior industry background. 🔹 Work with real datasets to build and test models 🔹 Learn tools like Python, Pandas, NumPy, Scikit-Learn, and Jupyter Notebooks 🔹 Understand the basics of machine learning and data preprocessing 🔹 Collaborate with a remote team to solve business-related challenges 🔹 Apply statistics and coding to derive data-driven solutions 🔍 You’re a Great Fit If You: ✅ Have basic Python knowledge or are eager to learn ✅ Are curious about AI, data modeling, and machine learning ✅ Can dedicate 5–7 hours per week (flexibly) ✅ Are a self-learner and motivated to grow in the data science field ✅ Want to build a strong project portfolio with real use cases 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Real Projects to Showcase Your Skills 🧠 Practical Knowledge of Data Science Workflows 📈 Experience with Tools Used by Professionals ⏳ Last Date to Apply: 1st July 2025 Whether you’re a student, fresher, or career switcher, this internship is your entry point into the dynamic world of Data Science . 👉 Apply now and bring your data science journey to life with Skillfied Mentor. Show more Show less

Summary Position Summary The AI&E portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously. ROLE – Machine Vision Developer Level: Consultant As Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines in an agile framework. Need-basis consultants will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements. Responsibilities: The work you will do includes: Develop, test & deploy advanced Computer Vision algorithms for industrial apps, ensuring real-time processing & high accuracy Work with data scientists to preprocess and annotate datasets, and with software engineers to integrate vision solutions into OT systems Continuously monitor, troubleshoot, and optimize vision systems for performance and efficiency. Update and retrain models to adapt to new data and changing conditions Qualifications Skills / Project Experience: Hands exp. In programming languages such as Python, C++ with GPU programming and parallel processing using CUDA or OpenCL Must Have: Good interpersonal and communication skills Flexibility to adapt and apply innovation to varied business domain and apply technical solutioning and learnings to use cases across business domains and industries Knowledge and experience working with Microsoft Office tools Good to Have: Problem-Solving: Strong analytical and troubleshooting skills to address client-specific challenges. Adaptability: Ability to quickly adapt to changing client requirements and emerging technologies. Project Leadership: Demonstrated leadership in managing client projects, ensuring timely delivery and client satisfaction. Business Acumen: Understanding of business processes and the ability to align technical solutions with client business goals. Education: B.E./B. Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university Prior Experience: 3 - 7 years of experience working with Proven experience in developing and deploying computer vision solutions in industrial or manufacturing settings. Hands-on leadership or significant contributions in end-to-end project execution – from data acquisition and preprocessing to model deployment and integration with OT systems. Track record of working with cross-functional teams including data scientists, control engineers, and software developers. Experience fine-tuning state-of-the-art Vision Transformer models and demonstrating measurable impact over traditional CNN-based methods. Exposure to real-time systems, model optimization techniques, and deploying vision solutions on edge devices or embedded systems. Location: Bengaluru/ Hyderabad/ Gurugram The team Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services. Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com. #HC&IE Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303048 Show more Show less

Job Description: We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities: Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Skills & Qualifications: Experience: B.Tech with 3-6 years of relevant experience in Machine Learning, AI, or Data Science roles. OR M.Tech, M. Statistics with 2-4 years of relevant experience in Machine Learning, AI, or Data Science roles. Education: Bachelor's/master's degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 2 college or similar colleges/universities. Technical Skills: Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following: Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments -> changed the wording, added points. Nice to Have: Object Oriented Programming. Familiarity with NLP, or time series analysis. -> Moving this into Nice to have, not bare min Exposure to deep learning models (RNN, LSTM) and working with GPUs. Show more Show less

Position: Machine Learning Engineer Intern Organization: TechKnowledgeHub.org Location: Remote / Hybrid / On-site (if applicable) Duration: 3–6 Months | Flexible Timings Stipend: Performance-Based / Certificate & LOR Provided About Us: TechKnowledgeHub.org is an emerging platform committed to empowering learners and professionals with cutting-edge knowledge in technology, data science, AI, and beyond. We provide hands-on training, industry-oriented projects, and real-world experience to bridge the gap between academia and industry. Internship Role Overview: We are looking for passionate and curious Machine Learning Engineer Interns who want to build real-world AI/ML applications and contribute to impactful projects. This role offers a unique opportunity to work closely with experienced mentors, learn industry practices, and strengthen your ML skillset. Responsibilities: Collaborate with the AI/ML team to design, develop, and deploy ML models Work on supervised and unsupervised learning algorithms, data preprocessing, and feature engineering Analyze large datasets and build models for prediction/classification Assist in developing APIs or deploying models using tools like Flask, FastAPI, or Streamlit Document code, experiments, and results for knowledge sharing Requirements: Good understanding of Python and core ML libraries (scikit-learn, pandas, NumPy, etc.) Knowledge of key ML algorithms like regression, decision trees, clustering, etc. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus Ability to work with datasets, preprocess data, and validate model performance Strong willingness to learn and contribute proactively What You’ll Gain: Hands-on experience with live ML projects Mentorship from experienced professionals Internship Certificate & Letter of Recommendation Exposure to deployment, version control (Git), and collaborative workflows Opportunity to be featured on TechKnowledgeHub’s platform for outstanding work How to Apply: Send your updated resume and a short statement about your interest in ML to resume@techknowledgehub.org Show more Show less

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production. As a Sr. Associate, AI and Data Science Full Stack Engineer , you will join the Data Science Industrialization team. Your responsibilities will include implementing AI solutions at scale for Pfizer business. You will iteratively develop and continuously improve data science workflows, AI based software solutions and AI components. Role Responsibilities Contribute to the end-to-end build and deployment of data science and analytics products and AI modules Develop server-side logic using back-end technologies such as Python Contribute to the implementation of data ETL pipelines using Python and SQL Build web applications with JavaScript frameworks Build data visualizations and data applications to enable data exploration and insights generation Maintain infrastructure and tools for software development and deploying using IaC tools Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery Implement logging and monitoring tools to gain insights into system behavior. Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions Build data visualizations and data applications to enable data exploration and insights generation (e.g. Tableau, Power BI, Dash, Shiny, Streamlit, etc.). Stay up-to-date with emerging technologies and trends in your field. Basic Qualifications Bachelor's or Master's degree in Computer Science, or a related field (or equivalent experience). 2+ years of experience in software engineering, data science, or related technical fields. Experience in programming languages such as Python or R Familiarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs. Familiarity with data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering. Highly self-motivated, capable of delivering both independently and through strong team collaboration. Ability to creatively tackle new challenges and step outside your comfort zone. Strong English communication skills (written and verbal). Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline Experience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. docker) Understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms Knowledge about BI backend concept like Star Schema and Snowflake Familiarity in building low code dashboard solution tools like Tableau, Power BI, Dash and Streamlit Experience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue. Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Cloudformation Familiarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake). Hands on experience working in Agile teams, processes, and practices Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

The Opportunity Our Indian Operations Centre (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, INOPC has evolved to become the largest engineering hub serving more than 40 countries across different energy sectors. The team caters to the four business units—Transformers, Grid Integration, Grid Automation, High Voltage and has successfully executed engineering and commissioning for projects in more than 80 countries. How You’ll Make An Impact Responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics model as well as process and tool support. Understand the product & market segmentation of portfolio and build know-how of data eco systems in various process involved in Business. Prepare reports with clear information understanding the raw information and interpret the date in optimized KPIs (target achievement, Price performance, Order trend, pipeline development, etc), profitability. Collaborate with Global, HUB & Pricing specialist to develop and implement competitive strategies, etc. Be in charge of the development and updation of models using Python as well as related user training in order to increase the analytical capabilities of our sales management around the globe. Responsible to continuously improve process performance and data quality Document and follow the guidelines for the efficient business Assess data from different sources to gain insights into pricing strategies and market trends. Analyze historical sales data to identify trends, patterns, and insights that can drive business decisions. Develop and implement predictive models to forecast future sales and demand for power system products. Collaborate with CFT to understand business requirements and translate them into analytical solutions. Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy. Utilize machine learning algorithms and statistical techniques to build robust models. Continuously monitor and improve model performance based on feedback and new data. Stay updated with the latest industry trends and advancements in data science and machine learning. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business Your Background Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field. Any graduation (Science, Statistics, Computer applications, Engineering) 4 -7 years relevant experience Proven experience in data analysis, modeling, and machine learning. Proficiency in programming languages such as Python, R, or SQL. Strong understanding of statistical methods and machine learning algorithms. Experience with data visualization tools like Tableau, Power BI, or similar. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Knowledge of big data technologies and cloud platforms. Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Attention to detail and a commitment to delivering high-quality digital solutions Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation. Show more Show less