254 Ml Algorithms Jobs - Page 11

Grade Level (for internal use): 09 Job Title: Python Developer The Team: Join our innovative and collaborative team at S&P Global's IT - Enterprise Technology department. We pride ourselves on fostering a culture that values excellence, teamwork, and continuous learning. Our team is dedicated to pushing the boundaries of AI technology and delivering impactful solutions that drive business success. Job Description: We are seeking a motivated and talented AI/Software Engineer to join our team and assist with GenAI projects. This is an excellent opportunity for someone looking to gain hands-on experience in cutting-edge AI technologies and cloud solutions while actively contributing to team goals and initiatives. Responsibilities and Impact: Assist in the development and implementation of traditional AI & GenAI projects, supporting the advancement of AI capabilities within the organization. Write proficient code in Python to support AI initiatives. Collaborate with team members to design and implement cloud-based solutions, actively participating in team goals. Deploy and manage code using GIT, ensuring proper integration and version control. Participate in code reviews and contribute to maintaining coding standards, fostering a culture of excellence. Troubleshoot and debug issues related to code and cloud infrastructure ensuring system reliability. Document processes, code changes, and project updates for knowledge sharing and transparency. Provide guidance and support to colleagues, contributing to the team's success. What Were Looking For: Basic Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related field, or equivalent work experience. Minimum 3-5 years of experience in software engineering/data science roles. Strong programming skills in Python. Basic understanding of ML algorithms and NLP. Familiarity with cloud platforms, preferably AWS. Experience with version control systems, such as GIT. Understanding of CI/CD pipelines and DevOps practices Knowledge of containerization platform. Good problem-solving skills and attention to detail. Passionate about learning new technologies and approaches as they emerge. Strong communication and teamwork skills, with a focus on collaboration. Additional Preferred Qualifications: Advanced degree in Computer Science, Engineering, or a related field. Experience with Prompting Engineering using OpenAI, Claude models. Exposure to AI frameworks such as OpenAI, Langchain, LamaIndex. Knowledge of containerization technologies like containerization platform. Completed projects using open/closed source Gen AI models is a plus. Benefits: Gain hands-on experience with GenAI projects and cloud technologies. Work in a collaborative and innovative environment. Opportunity to learn from experienced professionals in the field. Access to professional development opportunities, encouraging personal growth and leadership skills.

Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We have open positions ranging from Associate Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

Key Responsibilities: Deliver lectures, tutorials, and lab sessions for undergraduate/postgraduate Computer Science courses. Develop and update curriculum and course materials in line with the latest industry trends and academic standards. Guide students in academic projects, research, and internships. Evaluate and grade students coursework, assignments, and examinations. Conduct workshops, seminars, and guest lectures to enrich the learning environment. Engage in academic research and publish in peer-reviewed journals or conferences. Participate in departmental meetings, committees, and curriculum development. Stay current with developments in the field and integrate new technologies and methodologies in teaching. Qualifications: M.Tech / M.E. / Ph.D. in Machine learning and Artifical intelligence, AI& ML, or a related discipline. Prior teaching or industry experience is preferred. Strong knowledge of core subjects such as: Data Structures & Algorithms Operating Systems Computer Networks Database Management Systems Artificial Intelligence / Machine Learning / Data Science Programming Languages (Python, Java, C/C++, etc.) Excellent communication, presentation, and interpersonal skills. Preferred Skills: Experience with online teaching tools and Learning Management Systems (LMS). Ability to mentor students for competitive exams, coding competitions, and research. Published work in reputed journals or conference proceedings.

Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniquesThis position involves a wide variety of skills, innovation, and is a rare opportunity to be working on groundbreaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products' supply chain.Apple s Manufacturing & Operations team is looking for an extraordinary Machine Learning Engineer with expertise in Computer Vision (CV) and Large Language Models (LLMs) to join our team. You will craft, design and implement our machine learning strategy to the massive iPhone, Mac, iPad supply chains and help build the future of our manufacturing systems. In this role, you will develop and deploy machine learning models to optimize processes, automate quality control, and improve operational efficiency. The role requires a candidate with practical experience fine-tuning LLMs and applying them in combination with CV techniques to tackle challenges in manufacturing environments. Description As a key member of our team, you ll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects. You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle, while ensuring the highest standards of product quality and reliability. In this role, you ll be embedded inside a vibrant team of machine learning engineers and data scientists. You ll be expected to help conceive, code, and deploy machine learning models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metric. You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives. If you are passionate to influence the quality, speed and efficiency of our ML algorithms, come and help enable our vision to create the most refined products in the world.Join our team as a key contributor, leading the development of machine learning solutions for diverse tasks and projects. Collaborate with engineering and operations teams to deliver cutting-edge ML technologies, ensuring top-tier product quality and reliability in a fast-paced environment.- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms.- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.- Leverage Large Language Models to automate document analysis, knowledge extraction, and process optimization within manufacturing workflow.- Fine-tune LLMs for domain-specific applications such as improving operational documentation, production reports, and automating technical analysis.- Work with resources in cross-functional teams and the factory to integrate ML applications.- Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner. Experience developing deep learning models such as CNNs, Vision Transformers, or YOLO for image-based tasks in production systems. Proven research and practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency. Master s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields. iOS CoreImage/CoreML and native App development experience is a big plus. Experience deploying ML models in cloud environments (AWS, GCP, or Azure) for scalable production use. Preferred Qualifications Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP). Familiarity with LLM architectures like BERT, GPT, and experience fine-tuning these models for improved performance in manufacturing settings. Knowledge of machine learning and Deep Learning libraries such as PyTorch, OpenCV, Hugging Face, is essential. Proven ability to implement, improve, debug, and maintain machine learning models. Familiar with version control systems such as Git. Strong optimization and debugging skills. Self-motivated, responsible, excellent written and verbal interpersonal skills. Experience with handling and visualizing very large data sets and creating performance reports.