4 Ensemble Techniques Jobs

Wipro Limited is a leading technology services and consulting company that focuses on creating innovative solutions to address clients" most complex digital transformation needs. With a holistic portfolio encompassing consulting, design, engineering, and operations, the company helps clients achieve their boldest ambitions and develop sustainable businesses. Wipro has a global presence with over 230,000 employees and business partners across 65 countries, dedicated to helping customers, colleagues, and communities thrive in a dynamic world. We are seeking candidates with advanced expertise in time-series forecasting, predictive modeling, and deep learning, coupled with hands-on experience in scalable MLOps frameworks. The ideal candidate should possess a master's degree in mathematics, statistics, or data science, with a preference for those holding a Ph.D. Proficiency in Azure Machine Learning, Databricks, PySpark, and optimizing operational machine learning models" performance is crucial. Successful candidates will demonstrate the ability to optimize models, automate workflows, and drive innovation while delivering efficient, scalable solutions for forecasting projects. **Key Responsibilities:** - Develop and implement reusable and scalable machine learning systems for time-series forecasting. - Analyze, retrain, and fine-tune machine learning models based on evolving data trends and business requirements to ensure long-term efficiency and reliability. - Automate machine learning workflows, including deployment, monitoring, and retraining, using Azure Machine Learning as an MLOps technology. - Utilize PySpark for efficient data processing and analytics in large-scale environments. - Collaborate on data engineering tasks in Azure Databricks and implement scalable storage solutions using Azure Data Lake. **Mandatory Skills:** - Master's degree in mathematics, statistics, data science, or related fields. - Ph.D. in mathematics, statistics, data science, or similar areas is preferred but not mandatory. - Extensive experience in time-series forecasting, predictive modeling, and deep learning. - Proficiency in designing reusable and scalable machine learning systems. - Strong command of machine learning libraries and data manipulation tools. - Proven expertise in analyzing and optimizing performance of operational machine learning models. - Advanced experience in MLOps frameworks and PySpark for data processing. - Azure Machine Learning, Azure Databricks, and Azure Data Lake proficiency. **Benefits:** - New Hires Buddy-Program - Regular All-hands Meetings - Referral Program - Comprehensive Learning Offerings - Company pension plan - Highly international, high-performance culture - Diversity is in our DNA - Women network Join Wipro, a company that is reinventing itself and aiming for bold digital transformations. Be part of an organization that encourages constant evolution and empowers individuals to design their reinvention. At Wipro, you can realize your ambitions in an environment that thrives on purpose and innovation. Applications from individuals with disabilities are highly encouraged.,

As an AI/ML/DNN/DRL Researcher at Bert Labs, you will be responsible for conducting comprehensive research on the application of Artificial Intelligence, Machine Learning, Deep Neural Networks, and Deep Reinforcement Learning in various industrial domains including Commercial Buildings HVAC - Utility Systems, Pharma HVAC - Utility Systems, Pharma Process Equipment, Pharma Drug Discovery, Cement, Chemical/Speciality Chemical, Consumer Goods, Pulp & Paper, Materials, Automobile, and Energy Generation & Distribution. Your role will involve conceptualizing, architecting, designing, developing, productionizing, and enhancing models as part of the Platform Solution. You will be expected to establish scalable pipelines and processes for data pre-processing/cleaning, feature extraction, dimensionality reduction, model construction, and serving. Additionally, you will utilize both existing and emerging algorithms to create prediction and optimization models using time series data. Collaboration is key in this role, as you will work closely with the first principles modeling team to integrate outputs from first principles simulations and deep neural network simulations. You will also collaborate with industrial domain experts to maximize performance in complex manufacturing processes and equipment. Your involvement with Product Management Leaders will focus on tailoring Bert Labs Foundational AI models for different manufacturing plants and buildings. Furthermore, you will engage with front-end developers to incorporate analytics and assist backend developers in creating high-performing distributed computing software modules. This position offers an entrepreneurial leadership role where innovation beyond current capabilities is encouraged on a daily basis. Your collaboration with the IPR team will involve generating innovative ideas for potential patents and participating in freedom to operate searches, technology landscaping, prior art searches, and patent processes. Ideal candidates for this position should hold a BTech/MTech/PhD in CS/ECE/Statistics or related fields from reputable institutions such as IITs/BITS/NITs/IIITs/Jadavpur University/DTU/Top Engineering Institutes in the USA, Europe, UK/NUS. To excel in this role, you should possess 6 to 12 years of demonstrated experience in Computer Vision, Machine Learning, Python, Keras, Scikit-learn, TensorFlow, and statistical time-series analytics and forecasting techniques. Experience with applications to sales/demand forecasting in retail, as well as analytics for industrial IoT time-series data, is preferred. Proficiency in Reinforcement Learning, ANN/RNN/LSTM, Gradient Boosted Machines, SVM, and Ensemble techniques is advantageous. Familiarity with NoSQL DBs, Hadoop, analytics tools like Power BI, Tableau, and data pipelines for ML such as Apache Spark Streaming and Storm is also beneficial. Join Bert Labs today and be part of a dynamic team that challenges the status quo, fosters diversity and inclusion, and encourages collaboration to drive innovation in AI-driven solutions for sustainable business transformation.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,