3 Ensemble Methods Jobs

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

As a Junior Data Scientist specializing in Generative AI, you will have the exciting opportunity to explore new problems, drive innovation, and apply advanced machine learning techniques and programming skills, especially in Python. Your primary role will involve enhancing the analytics backend flagship products and contributing to the advancement of knowledge discovery solutions. This position is ideal for individuals who are passionate about learning, creative problem-solving, and thrive in a dynamic environment. To be eligible for this role, you should have a Bachelor's degree in computer science or a related field OR a Master's degree in statistics, along with 2-6 years of experience in the Analytics/Data Science domain. Proficiency in programming languages such as Python is essential, as well as experience with Generative AI techniques and tools. You should also be familiar with data imputation, data cleaning, outlier handling, cloud platforms like AWS, AI/ML services, and databases/tools such as SQL. Desirable technical skills include expertise in NLP and Generative AI concepts/methods/techniques, such as Prompt design/engineering, Retrieval Augmented Generation (RAG), Corrective RAG, Knowledge Graph-based RAG using GPT4o, Fine-tuning through LORA/QLORA, and Multi-agentic frameworks for RAG. A strong understanding of Deep Learning methods, Machine Learning techniques, Ensemble methods, Support Vector Machines, and NLP is also preferred. Your specific responsibilities will include translating business requirements into actionable analytical plans, identifying appropriate data sources, resolving data discrepancies, delivering projects and proof-of-concept initiatives, contributing to technical and analytics architecture development, implementing analytical frameworks and data pipelines, coordinating with cross-functional teams, and delivering production-ready models and solutions. You will also be responsible for monitoring success metrics, staying informed about new trends in Generative AI, and integrating relevant advancements into solutions. With 8-11 years of experience, your primary skill will be AI/ML Development, with additional expertise in Python, TensorFlow, and PyTorch. The company you will be working for, Infogain, is a human-centered digital platform and software engineering company based in Silicon Valley. Infogain engineers business outcomes for Fortune 500 companies and digital natives across various industries using technologies like cloud, microservices, automation, IoT, and artificial intelligence. As an Infogain employee, you will accelerate experience-led transformation in the delivery of digital platforms.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Business Analyst , Data Science ! This role supports Commercial Analytics enablement, which includes understanding of business trends, provide data driven solutions. Within the Analytics, crafted to support brands and go-to-market strategies, Customer Analytics focuses on bringing and scaling analytics solutions that advances Customer centricity and transformation. The Analytics member is accountable for providing analytic expertise and delivering business insights to the Commercial organization. We&rsquore looking for a technically sound and who is interested in working within customer environment. Responsibilities: Relevant years of professional experience in implementing Analytics for business support. Must have experience with classification, regression and time series forecasting using ensemble methods with clear understanding. Well versed with data exploration and statistical inference from data. Having hands on year s experience building front end application using Streamlit / Gradio /Flask/Fast for Generative AI input and output display. Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models. Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation. Building chatbot using different scalable data source for generating charts and statement. Proficiency in programming language Python, SQL. Responsible for weekly release of upgrades and new features to enhance current algorithm. Qualifications we seek in you! Minimum Qualifications Masters or bachelor&rsquos in engineering - BE/B- Tech, BCA, MCA, BSc/MSc Master&rsquos in science or related Preferred Qualifications/ Skills R / Python and SQL certification Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.