We are seeking highly motivated and technically skilled interns to join our R&D team. This internship will focus on the design and development of real-time object follow-up & detection systems integrated with many platforms/applications, drones, leveraging AI, machine learning, and embedded hardware technologies Selected Intern’s Day‑to‑day Responsibilities Include Assisting in the development of object‑detection algorithms using Python, OpenCV, and TensorFlow or PyTorch, including implementation with techniques like YOLO and Haar cascades. Integrating object‑tracking modules such as KCF, CSRT, or DeepSort into drone control systems for real‑time applications and testing detection pipelines. Designing, programming, and testing embedded systems using platforms like Arduino, Raspberry Pi, ESP8266, LoRa, and ATmega microcontrollers, working with peripherals such as stepper/servo motors, LCDs, keypads, USB, and Wi‑Fi modules. Developing and debugging code in C, C++, Embedded C++, and Python to ensure real-time hardware interaction and system responsiveness. Collaborating on PCB design and hardware prototyping to integrate custom interfaces and sensors into the system, conducting component layout and assembly. Participating in system-level integration and testing of AI-enabled surveillance or drone-based solutions, evaluating performance in real-world conditions. Documenting design processes, coding workflows, test results, and contributing to technical reports and user manuals to support transparency and reproducibility. About Company: RST Ecoenergy Private Limited is an innovative startup specializing in the manufacturing of high-quality LED Lights and solar products, Defence-Tech, along with electronics PCB designing and development. RST focuses on providing innovative and efficient Lighting Solutions for various sectors. RST specially manufactures some special lights for defence, Inflatable Tower Light, Remote Area Portable Lights, IR Illuminator, Pneumatic Tower Light,and Motorised Revolving Search Light for Watch Tower and Marine. We're proud to be an ISO 9001:2015 certified, MSME ZED unit, and recognized as a startup by the Government of India and UP. Our products are sold across India. Our commitment to excellence is reflected in our partnerships with leading companies. The entire range of products is made in India with high quality and ensures compliance with international quality standards Show more Show less

We are looking for a talented AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions that solve complex problems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and deploy AI models and algorithms that enhance our products and services. Key Responsibilities: AI Model Development: Design, develop, and deploy AI models and algorithms, including machine learning, deep learning, and natural language processing (NLP) models. Data Processing: Collect, clean, and preprocess data for training and testing AI models. Algorithm Optimization: Optimize and fine-tune models for performance, accuracy, and scalability. Integration: Integrate AI solutions into existing systems and applications. Research: Stay up-to-date with the latest AI research and technologies, and apply them to solve real-world problems. Collaboration: Work with data scientists, engineers, product managers, and other stakeholders to understand requirements and deliver AI solutions that meet business needs. Documentation: Document the AI models, processes, and methodologies used in the development lifecycle. Testing and Validation: Implement and conduct rigorous testing and validation of AI models to ensure their robustness and reliability. Maintenance: Monitor and maintain deployed AI models, ensuring they continue to perform as expected over time. Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: Proven experience in developing and deploying AI models and algorithms. Programming: Proficiency in programming languages such as Python, R, Java, or C++. Libraries and Frameworks: Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and others. Data Handling: Strong understanding of data structures, data modeling, and data processing techniques. Mathematics: Solid foundation in mathematics, including statistics, linear algebra, and calculus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong written and verbal communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. Teamwork: Ability to work effectively in a collaborative team environment. Preferred Skills and Qualifications: Experience with Cloud Platforms: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models. Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, or Apache Flink. NLP and Computer Vision: Experience in developing NLP and computer vision applications. Version Control: Proficiency with version control systems like Git. DevOps: Understanding of DevOps practices for continuous integration and deployment (CI/CD) of AI models. Industry Knowledge: Experience in applying AI in specific industries such as healthcare, finance, retail, or manufacturing. Show more Show less

Job Title Data Scientist (AI for Computer Vision) Job Description We are seeking an experienced Data Scientist specializing in AI for Computer Vision to join our dynamic team. Your primary responsibilities will include developing, fine-tuning, and optimizing AI models for computer vision applications, driving innovation in various healthcare applications. You will work closely with cross-functional teams, including machine learning engineers, software developers, and product managers, to deliver state-of-the-art AI solutions. Your role: Explore and develop innovative Artificial Intelligence (AI) algorithms for healthcare applications Create and refine AI algorithms for pre- and post-processing of images and videos, focusing on data from various imaging modalities Develop and implement machine learning and deep learning techniques for segmentation, classification, and statistical modeling. Demonstrate expertise in image processing, object detection, segmentation, and classification. Proficient in Python programming Possess a strong understanding of algorithms and frameworks such as TensorFlow, PyTorch, and Keras Experienced with version control systems (e.g., Git) and software development practices Develop and Optimize Computer Vision Models: Design, train, and fine-tune DL models for real-world applications Data Preparation & Engineering: Gather, clean, and preprocess large-scale image and video datasets for training and evaluation of computer vision models Experimentation & Model Evaluation: Conduct A/B testing and assess model performance using quantitative metrics (e.g., IoU, mAP, precision, recall) Research & Innovation: Stay updated with the latest advancements in computer vision, deep learning, and related technologies Deployment & Scaling: Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and OpenCV Collaboration & Communication: Work closely with cross-functional teams to integrate computer vision solutions into business processes and applications. You're the right fit if: Bachelor’s or master’s Degree: In computer science, AI, Data Science, Machine Learning, or a related field Experience: 3+ years in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in developing computer vision-based AI applications Programming Proficiency: Strong proficiency in Python and ML frameworks like TensorFlow and PyTorch Domain Knowledge: Knowledge of computer vision, natural language processing (NLP), or multimodal AI applications Technical Skills: Familiarity with computer vision techniques and fine-tuning of models Problem-Solving Skills: Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment MLOps Tools: Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes) Ethical AI: Understanding of ethical AI and bias mitigation in computer vision models. Publications and Contributions: Strong publication record or contributions to open-source AI projects. How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here. Show more Show less

Summary Position Summary Job title: AI & Generative AI - Senior Consultant About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage ,implement & support risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. The Team Internal Audit As part of Digital Internal Audit team, you will be part of our USI Internal Audit practice and will be responsible for scaling digital capabilities for our IA clients. Responsibilities will include helping our clients adopt digital through various stages of their Internal Audit lifecycle, from planning till reporting. We help organizations enhance their digital footprint in the Internal Audit space by adopting a digital approach. Through digital, Internal Audit groups can not only perform its traditional duties better, but can broaden its mandate and sphere of influence to provide actionable insights to management through the anticipation of both risks and opportunities. Work you’ll do The key job responsibilities will be to: Analyze client requirements, perform gap analysis, design and develop digital solutions using data analytics tools and technologies to solve client needs Design, build, and implement custom AI and Generative AI solutions tailored to meet specific business needs Utilize advanced machine learning techniques to develop/train AI models and fine-tune Gen-AI models. Continuously monitor and improve the performance of AI models to ensure they meet the desired performance metrics Deploy solution across various cloud and on-prem computing platforms Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Provide technical expertise and thought leadership in the field of AI/Generative AI to guide clients in adopting AI-driven solutions. Stay up to date with the latest advancements in AI and machine learning technologies to incorporate cutting-edge solutions into projects. Required Skills Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques. Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications. Familiarity with Gen AI application design and architecture Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics) In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions. Expertise in handling large multi-modal datasets and applying data preprocessing techniques to ensure data quality and relevance. Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes Strong knowledge of programming languages like Python and SQL Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.) Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI) Experience with frameworks such as TensorFlow, PyTorch and Keras Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes Preferred Skills Certification in Cloud (AWS/ Azure / GCP) Certification in AI/ML or Data Analytics Qualification B.Tech/B.E. and/or MBA 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. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. 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. 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. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304565 Show more Show less

Summary Position Summary Job title: AI & Generative AI - Consultant About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloitte’s clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage ,implement & support risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our Risk and Financial Advisory services professionals help organizations effectively navigate business risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks—to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technology like AI/ML techniques, analytics, and Robotic Process Automation (RPA) to solve Deloitte’s clients‘ most complex issues. Working in Risk and Financial Advisory at Deloitte US-India offices has the power to redefine your ambitions. The Team Internal Audit As part of Digital Internal Audit team, you will be part of our USI Internal Audit practice and will be responsible for scaling digital capabilities for our IA clients. Responsibilities will include helping our clients adopt digital through various stages of their Internal Audit lifecycle, from planning till reporting. We help organizations enhance their digital footprint in the Internal Audit space by adopting a digital approach. Through digital, Internal Audit groups can not only perform its traditional duties better, but can broaden its mandate and sphere of influence to provide actionable insights to management through the anticipation of both risks and opportunities. Work you’ll do The key job responsibilities will be to: Analyze client requirements, perform gap analysis, design and develop digital solutions using data analytics tools and technologies to solve client needs Design, build, and implement custom AI and Generative AI solutions tailored to meet specific business needs Utilize advanced machine learning techniques to develop/train AI models and fine-tune Gen-AI models. Continuously monitor and improve the performance of AI models to ensure they meet the desired performance metrics Deploy solution across various cloud and on-prem computing platforms Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Provide technical expertise and thought leadership in the field of AI/Generative AI to guide clients in adopting AI-driven solutions. Stay up to date with the latest advancements in AI and machine learning technologies to incorporate cutting-edge solutions into projects. Required Skills Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques. Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications. Familiarity with Gen AI application design and architecture Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics) In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions. Expertise in handling large multi-modal datasets and applying data preprocessing techniques to ensure data quality and relevance. Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes Strong knowledge of programming languages like Python and SQL Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.) Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI) Experience with frameworks such as TensorFlow, PyTorch and Keras Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes Preferred Skills Certification in Cloud (AWS/ Azure / GCP) Certification in AI/ML or Data Analytics Qualification B.Tech/B.E. and/or MBA 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. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. 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. 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. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304561 Show more Show less

Role Overview As a Test Automation Lead at Dailoqa, you’ll architect and implement robust testing frameworks for both software and AI/ML systems. You’ll bridge the gap between traditional QA and AI-specific validation, ensuring seamless integration of automated testing into CI/CD pipelines while addressing unique challenges like model accuracy, GenAI output validation, and ethical AI compliance. Key Responsibilities Test Automation Strategy & Framework Design Design and implement scalable test automation frameworks for frontend (UI/UX) , backend APIs , and AI/ML model-serving endpoints using tools like Selenium, Playwright, Postman, or custom Python/Java solutions. Build GenAI-specific test suites for validating prompt outputs, LLM-based chat interfaces, RAG systems, and vector search accuracy. Develop performance testing strategies for AI pipelines (e.g., model inference latency, resource utilization). Continuous Testing & CI/CD Integration Establish and maintain continuous testing pipelines integrated with GitHub Actions, Jenkins, or GitLab CI/CD. Implement shift-left testing by embedding automated checks into development workflows (e.g., unit tests, contract testing). AI/ML Model Validation Collaborate with data scientists to test AI/ML models for accuracy , fairness , stability , and bias mitigation using tools like TensorFlow Model Analysis or MLflow. Validate model drift and retraining pipelines to ensure consistent performance in production. Quality Metrics & Reporting Define and track KPIs. Test coverage (code, data, scenarios) Defect leakage rate Automation ROI (time saved vs. maintenance effort) Model accuracy thresholds Report risks and quality trends to stakeholders in sprint reviews. Drive adoption of AI-specific testing tools (e.g., LangChain for LLM testing, Great Expectations for data validation). Soft Skills Strong problem-solving skills for balancing speed and quality in fast-paced AI development. Ability to communicate technical risks to non-technical stakeholders. Collaborative mindset to work with cross-functional teams (data scientists, ML engineers, DevOps). Requirements Technical Requirements Must-Have 5–8 years in test automation, with 2+ years validating AI/ML systems. Expertise in: Automation tools: Selenium, Playwright, Cypress, REST Assured, Locust/JMeter CI/CD: Jenkins, GitHub Actions, GitLab AI/ML testing: Model validation, drift detection, GenAI output evaluation Languages: Python, Java, or JavaScript Certifications: ISTQB Advanced, CAST, or equivalent. Experience with MLOps tools: MLflow, Kubeflow, TFX Familiarity with vector databases (Pinecone, Milvus) and RAG workflows. Strong programming/scripting experience in JavaScript, Python, Java, or similar Experience with API testing, UI testing, and automated pipelines Understanding of AI/ML model testing, output evaluation, and non-deterministic behavior validation Experience with testing AI chatbots, LLM responses, prompt engineering outcomes, or AI fairness/bias Familiarity with MLOps pipelines and automated validation of model performance in production Exposure to Agile/Scrum methodology and tools like Azure Boards Show more Show less

Position Details Job Title: Chief Technology Officer (CTO) Location: Remote, Remote Openings: 1 Salary Range Description: The Opportunity: Passion for Innovation! Were a Silicon Valley-based company with offices in Noida. We find bright startups, invest in these companies, help them establish competent product engineering teams, and apply tools and methods for effective technology and program management. You are being interviewed as a candidate to join our team and help many of our ventures or specifically hired for one. Learn more at Instant Systems. Role Overview We are seeking a visionary Chief Technology Officer (CTO) to lead the development and execution of AI-driven educational technology solutions at our top private educational organization based in the UAE with a 45-year history of operating multiple premier international schools, accredited by British Schools Overseas. The ideal candidate will have strong expertise in AI, Machine Learning, and EdTech product development, with a proven track record of leading technology teams and driving innovation in the education domain. What Youll Do Define and execute the AI and technology roadmap in alignment with business objectives. Drive AI-based personalization in learning experiences through intelligent tutoring systems and adaptive learning models. Lead and scale the technology team, hiring and mentoring AI engineers, data scientists, and software developers. Oversee AI-powered content generation, ensuring automated lesson plans and assessments are aligned with curriculum standards. Ensure seamless AI integration with Learning Management Systems (LMS), Student Information Systems (SIS), and assessment tools. Spearhead the adoption of AI-driven analytics for student performance prediction, teacher evaluations, and institutional efficiency. Collaborate with education leaders, curriculum designers, and policymakers to ensure AI-driven solutions enhance pedagogy and student engagement. Work closely with the C-suite, investors, and board members to communicate EdTech vision, strategy, and impact. Oversee end-to-end product development, ensuring seamless integration of AI/ML solutions. Ensure compliance with data security, privacy, and ethical AI standards. Develop and optimize scalable architecture and AI frameworks for production deployment. Stay ahead of emerging AI trends and regulatory policies in education technology, ensuring ethical and responsible AI deployment. Who You Are: 812 years of experience in AI, Machine Learning, and Large-Scale EdTech Product Development. Proven track record as a CTO, VP of Engineering, or AI Architect in AI-driven EdTech companies, universities, or online learning platforms. Strong software development background (Python, Cloud Computing, Scalable Systems). Experience in EdTech, SaaS, or AI-driven product development is preferred. Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, NLP, Reinforcement Learning, Computer Vision). Deep understanding of AI-driven adaptive learning and automated content generation. Strong experience in integrating AI into Learning Management Systems (LMS) and Student Information Systems (SIS). Experience in cloud-based AI solutions (AWS, Azure, GCP) with scalable deployment architectures. Expertise in AI-based EdTech applications, such as chatbots, voice assistants, and intelligent content recommendation engines. Exceptional leadership, stakeholder management, and strategic decision-making skills. Deep knowledge of ethical AI practices, compliance standards, and data privacy regulations in education. Familiarity with predictive modeling techniques, especially for student performance, teacher assessments, and retention analytics. More About Instant Systems Inc.: Joining Instant Systems Means Becoming Part Of a Dynamic Team Where Your Ideas Are Valued, And Your Contributions Make a Real Impact. Here's What You Can Expect From Life At Instant Systems You'll collaborate with talented individuals on innovative projects that push technological boundaries. We prioritize your career growth with mentorship, training, and access to cutting-edge tools. Enjoy flexibility with remote work options for better work-life balance. We embrace diversity, ensuring every voice is heard and respected in our inclusive workplace. Equal Employment Opportunity Statements: The policy of Instant Systems is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression, or veteran status. Additionally, Instant Systems is committed to being an Equal Employment Opportunity (EEO) employer and offers opportunities to all job seekers, including individuals with disabilities. If you need reasonable accommodation to assist with your job search or application for employment, email us at careers@instantsys.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Experience: Minimum 10+ years in AI/ML or data science, with at least 5 years in a leadership role. Proven experience in banking or financial services is highly preferred. Hands-on with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and tools (Python, SQL, Spark). Experience in Azure ML tools: Databricks etc. Experience with end-to-end model lifecycle management and MLOps. Minimum Qualification: Masters Degree/PhD in Computer Science, Econometrics, Statistics, or related fields.

Job Responsibilities Craft winning proposals to grow the Data Science Practice. Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience design the end to end solution, put together the right team and deliver as per established processes. Build an A team hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant forums to continuously upgrade self knowledge & establish Axtrias thought leadership in this space. Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space.EducationBachelor Equivalent - OtherPG Diploma in ManagementWork ExperienceData Scientist6-15 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques like NLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. ML Ops Engineering6-15 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP).Gen AI 6-15 years develop, test, and deploy Python based applications on Azure/AWS platforms. Must have basic knowledge on concepts of Generative AI / LLMs / GPT. Deep understanding of architecture and work experience on Web Technologies. Python, SQL hands-on experience. Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.IOS Developer 6+ years of experience in IOS mobile development and 5+ in React Native. Strong background working with React Native tools. Fullstack Developer 6-15 years experience to develop, test and deploy React, Javascript, Python based applications on Azure/AWS platforms. Must have experience working on frontend and backend technologies. Experience on React and Python is a must.Technical CompetenciesML Data ScienceML OpsML engineeringPharmaPythonPySparkAWS Data PipelineAWS EMRAIMLNLPBehavioural CompetenciesOwnershipTeamwork & LeadershipTalent ManagementCultural FitMotivation to Learn and GrowProject Management

Okta is seeking a highly skilled Full-Stack Engineer with deep expertise in AWS Bedrock, generative AI, and modern software development to join our fast-moving team at the intersection of developer experience, machine learning, and enterprise software. As part of the Okta Business Technology (BT) team, you will build cutting-edge tools that make AI development intuitive, collaborative, and scalable. If you're passionate about building next-generation AI applications and empowering developers through innovative platforms, this is the role for youJob Duties and Responsibilities Design and develop full-stack applications that integrate seamlessly with Amazon Bedrock AI agents. Build scalable, production-grade AI/ML solutions using AWS Bedrock and the AWS Agent Development Kit. Implement back-end services and APIs to interact with foundation models for tasks such as automated sourcing, content generation, and prompt orchestration. Create intuitive and performant front-end interfaces using Angular that connect with GenAI capabilities. Ensure seamless integration of LLMs and foundation models into the broader application architecture. Explore and rapidly prototype with the latest LLMs and GenAI tools to iterate on new capabilities and features. Build sophisticated AI workflows using knowledge bases, guardrails, and prompt chaining/flows. Deploy and maintain enterprise-ready GenAI applications at scale. Collaborate with business analysts to understand customer needs and use cases, and work with the team to design, develop POCs to test, implement & support solutions Foster strong relationships with teammates, customers, and vendors to facilitate effective communication and collaboration throughout the project lifecycle Perform in-depth analysis of requirements, ensuring compatibility and adherence to established standards and best practicesRequired Skills: 7+ years of robust experience with hands-on development & design experience 3+ years of experience in one or more of the following areasDeep Learning, LLMs, NLP, Speech, Conversational AI, AI Infrastructure, Fine-tuning, and optimizations of PyTorch models. Software development experience in languages like Python (must have) and one from the optional (Go, Rust, and C/C++). Experience with at least one LLM such as Llama, GPT, Claude, Falcon, Gemini, etc. Expertise in AWS Bedrock and the AWS Agent Development Kit is mandatory Hands-on experience with Python libraries including boto3, NumPy, Pandas, TensorFlow or PyTorch, and Hugging Face Transformers Solid understanding of the AWS ecosystem (e.g., CloudWatch, Step Functions, Kinesis, Lambda) Familiarity with full software development lifecycle, including version control, CI/CD, code reviews, automated testing, and production monitoring Knowledge about the ERP, HR technology and Legal business processes is an advantageEducation and Certifications Bachelors degree in Computer Science or a related field, or equivalent practical experience AWS certifications (e.g., AWS Certified Solutions Architect, Machine Learning Specialty) are a plus Experience working with large-scale generative AI or LLM-based applications Knowledge of secure application development and data privacy practices in AI/ML workloads"This role requires in-person onboarding and travel to our Bengaluru, IN office during the first week of employment."

Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team.

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are a dynamic and innovative team of Data Engineers, Data Architects, and Data Scientists based in Bangalore, India. Our mission is to harness the power of data to provide actionable insights that empower executives to make informed, data-driven decisions. By analyzing and interpreting complex datasets, we enable the organization to understand the health of the business and identify opportunities for growth and improvement. Your Impact We are seeking a highly experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in machine learning models, artificial intelligence (AI), generative AI, and data visualization. Proficiency in Tableau and other visualization tools is essential. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Key Responsibilities Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning ModelsSupervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI TechniquesNatural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization ToolsTableau, Power BI, Matplotlib, Seaborn, Plotly, etc. DatabasesSnowflake, Teradata, SQL, NoSQL databases. Programming LanguagesPython (essential), R, SQL. Python LibrariesTensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data ProcessingETL processes, data warehousing, data lakes. Cloud PlatformsAWS, Azure, Google Cloud Platform. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Minimum of [X] years of experience as a Data Scientist or in a similar role. Proven track record in developing and deploying machine learning models and AI solutions. Strong expertise in data visualization tools, particularly Tableau. Extensive experience with Snowflake and Teradata databases. Excellent problem-solving skills and the ability to work independently and collaboratively. Exceptional communication skills with the ability to convey complex information clearly. Preferred Qualifications (Provide up to five (5) bullet points these can include soft skills) Excellent communication and collaboration skills to work effectively in cross-functional teams. Ability to translate business requirements into technical solutions. Strong problem-solving skills and the ability to work with complex datasets. Experience in statistical analysis and machine learning techniques. Understanding of business domains such as sales, financials, marketing, and telemetry.

Job Overview: We are seeking a talented and versatile professional with expertise in UX Design, Digital Marketing, Full Stack Development, and Mobile Application Development. The ideal candidate will also have experience in AI and ERP automation, contributing to the development and enhancement of our digital platforms. Key Responsibilities: UX Design: Conduct user research and create user personas to enhance customer experience. Develop wire frames, prototypes, and design mockups for web and mobile applications. Implement UI/UX best practices to improve usability and engagement. Collaborate with developers to ensure seamless integration of design elements. Digital Marketing: Plan and execute digital marketing campaigns, including SEO, SEM, and social media. Analyse website and campaign performance using Google Analytics and other tools. Optimise content for search engines and user engagement. Develop strategies for lead generation and brand awareness. Mobile Application Development: Develop and maintain mobile applications for iOS and Android platforms. Work with frameworks such as React Native, Flutter, or Swift/Kotlin. Ensure app performance, security, and user experience optimisation. Integrate mobile applications with back-end services and third-party APIs. AI Experience (Preferred): Leverage AI/ML for improving user experience and personalization. Implement chatbots, recommendation systems, and predictive analytics. Work with AI frameworks such as TensorFlow, PyTorch, or OpenAI APIs. ERP System Automation: Develop and automate ERP workflows for seamless business operations. Integrate ERP systems with third-party applications. Optimise processes through robotic process automation (RPA) and AI-driven solutions. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Marketing, Design, or a related field. Strong knowledge of UX/UI principles and tools (Figma, Adobe XD, Sketch). Proficiency in front-end and back-end development. Experience with SEO, digital marketing strategies, and campaign management. Knowledge of AI/ML technologies and ERP automation (preferred). Experience in mobile application development for iOS and Android. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Experience in Agile development methodologies. Hands-on experience with automation tools for ERP systems. Certification in UX, Digital Marketing, AI, Full Stack Development, or Mobile Development. Show more Show less

- Data Scientist -6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. -Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. -Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. -Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. -Familiarity with vector databases and embedding techniques. -Experience deploying models using APIs, Docker, and cloud platforms -Strong analytical, problem-solving, and communication skills. -Experience in ML Ops, Model deployment, Model lifecycle and management

Project description We are looking for an experienced technical developer to work for one of our client from banking industry. Project goal is to maintain and develop solutions focused on digital onboarding platform. Responsibilities As a Python Developer, you will be responsible for designing, developing, and maintaining Python-based applications and services. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet the needs of our business divisions. Your role will involve: Skills Must have Proven experience of more than 4 years as a Python Developer or similar role. Proficiency in Python and its frameworks such as Django or Flask. Strong knowledge of back-end technologies and RESTful APIs. Experience in Pandas, and knowledge of AI/ML libraries like TensorFlow, PyTorch, etc. Experience of working on Kubernetes / OpenShift, Dockers, Cloud Native frameworks. Experience with database technologies such as SQL, NoSQL, and ORM frameworks. Familiarity with version control systems like Git. Familiarity with Linux and Windows Operating Systems. Knowledge of Shell scripting (Bash for Linux and PowerShell for Windows) will be advantageous. Understanding of Agile methodologies and DevOps practices. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. A degree in Computer Science, Engineering, or a related field is preferred. Nice to have Experience in Agile Framework Other Languages EnglishC1 Advanced Seniority Senior

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

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases:SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.