6 Timeseries Jobs

As a Senior Analyst/Team Lead for WFM Forecasting at our company based in Bangalore, you will be leading a team of experts in Time Series, Predictive Analysis, Machine Learning, and Python programming. Your primary responsibility will be to develop and implement accurate forecasting models to optimize our workforce planning and management processes. You will lead the WFM Forecasting team in creating and implementing precise forecasting models using advanced techniques such as Time Series, Predictive Analysis, and Machine Learning. Your role will involve collaborating with stakeholders to understand business requirements and develop models tailored to meet their needs. Additionally, you will be tasked with developing and maintaining Python scripts to automate forecasting processes and integrate them with existing systems. Analyzing and interpreting forecasting results to identify trends and areas for improvement will be a crucial part of your role. You will also provide training and guidance to junior team members on forecasting techniques and tools, ensuring the team stays updated with the latest industry practices. Documenting forecasting processes and models will be essential for maintaining transparency and consistency within the team. To be successful in this role, you should have 6-14 years of experience in Workforce Management, Forecasting, Time Series, Predictive Analysis, and Machine Learning. Proficiency in Python programming and experience with machine learning libraries such as scikit-learn and TensorFlow is required. Strong analytical and problem-solving skills are essential for interpreting complex data and developing accurate forecasting models. Excellent communication and leadership abilities are also crucial for collaborating with stakeholders and effectively leading a team. A Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science is necessary for this position. Experience with WFM software such as NICE IEX and Genesys is preferred. Your key skills should include expertise in forecasting, machine learning, Python programming, predictive analysis, Time Series, and workforce management. This is a full-time and permanent position in the ITES/BPO/KPO industry, focusing on ITES/BPO/Customer Service. If you are passionate about leveraging advanced analytics to drive workforce optimization and possess the required skills and experience, we encourage you to apply for this role. Job Code: GO/JC/944/2025 Recruiter Name: Subashini,

Are you passionate about being part of a successful team Are you a QA Engineer looking for a good opportunity Our Enterprise technology team is developing cutting-edge and innovative solutions to monitor, control, and optimize our energy assets, providing customers with the peace of mind needed to reliably and efficiently improve their operations. Join our innovative Software Engineering Team in building next-generation cloud platform solutions to meet the mission-critical requirements of our customers. As a Quality Assurance Engineer, you will be responsible for providing expertise in Design, Architecture, Development, Continuous Integration, and Delivery to ensure constant innovation. You will also manage deliverables and mentor junior team members, contribute to driving initiatives for defining coding standards and processes to ensure quality code production, and ensure continuous business improvement according to benchmarks and standards. Additionally, you will ensure customer quality requirements, Feedback of Experience (FOE)/Lessons Learned are considered in the tender proposal to avoid deviation and improve execution processes continually. You will advise Functional managers or other Functions on approaches, processes, and procedures in the field and handle communication with colleagues and the business about approaches and methods for solving complex problems. To be successful in this role, you must have a Bachelor's degree from an accredited university or college, a minimum of 3 years of working experience, excellent experience using Selenium version 3 and higher for Web Automation, a great experience with Java version 8 and higher, knowledge of setting up test environments for Web Automation on MAC and Windows, excellent problem-solving and communication skills, solid experience in Database/PostGres/Timeseries/SQL/Oracle knowledge, experience with Windows/Unix/Linux, testing API, Web, client-server, and GUI applications, and experience working in an Agile development environment. We offer flexible working patterns, allowing you to work flexible hours to fit in everything and be most productive. At Baker Hughes, we invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other. Join us and expect contemporary work-life balance policies, wellbeing activities, comprehensive private medical care options, a safety net of life insurance and disability programs, and tailored financial programs. We are an energy technology company providing solutions to energy and industrial customers worldwide. With a century of experience and conducting business in over 120 countries, our innovative technologies and services are driving energy forward, making it safer, cleaner, and more efficient for people and the planet. If you are looking for an opportunity to make a real difference in a company that values innovation and progress, join us and become part of a team that challenges and inspires you to take energy forward.,

Lead a team of 4-8 data scientists to develop machine learning capabilities within a Databricks-Azure platform. Provide guidance on delivering complex machine learning systems that are in line with product and platform objectives. Strive to maintain a balance between scientific rigor and practical engineering principles. Define the model lifecycle, tooling, and architectural direction for the projects. The ideal candidate should possess advanced skills in machine learning including supervised and unsupervised modeling, time-series analysis, interpretability, MLflow, Spark, and TensorFlow/PyTorch. Additionally, expertise in engineering aspects such as feature pipelines, model serving, CI/CD practices, and production deployment is required. Strong leadership abilities are essential for mentoring team members, ensuring architectural alignment across subsystems, and devising an effective experimentation strategy. Effective communication skills are crucial for translating machine learning outcomes into tangible business impact. As part of the benefits, you will have the opportunity to engage in Proximity Talks, where you can interact with other professionals in the industry, including designers, engineers, and product experts, to enhance your knowledge and skills. Working alongside a world-class team, you will be constantly challenged and encouraged to learn something new each day. Proximity is a reputable technology, design, and consulting partner for leading Sports, Media, and Entertainment companies globally. Headquartered in San Francisco, with offices in Palo Alto, Dubai, Mumbai, and Bangalore, Proximity has been instrumental in creating high-impact, scalable products utilized by 370 million daily users, with a cumulative net worth of $45.7 billion among client companies. Joining Proximity means becoming part of a global team of coders, designers, product managers, and experts dedicated to solving complex problems and developing cutting-edge technology at scale. The rapidly growing team of Proxonauts offers the opportunity to make a significant impact on the company's success. You will collaborate with experienced leaders who have successfully led multiple tech, product, and design teams. To learn more about us, you can watch our CEO, Hardik Jagda, share insights about Proximity, explore our values and meet team members, visit our website, blog, and design studio at Studio Proximity, and get an insider's view of our operations on Instagram by following @ProxWrks and @H.Jagda.,

The Data Chapter at our organization serves as a strategic partner, utilizing state-of-the-art AI and ML technologies to drive data-led initiatives that enhance risk management, boost revenue generation, and enhance operational efficiency. We are committed to maintaining data integrity and governance while delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout DBS. Through our collaborative approach, we provide timely and actionable solutions that align with the organization's strategic goals. As a member of our team, your responsibilities will include designing, developing, and implementing advanced AI/ML models to uncover actionable insights, automate processes, and facilitate strategic decision-making across various business units. You will work closely with a team to create the end-to-end lifecycle of AI initiatives, starting from problem identification and data engineering to model development, validation, deployment, and monitoring. Collaboration with cross-functional teams, including product, engineering, and business stakeholders, will be essential to identify impactful AI opportunities and deliver innovative solutions. In this role, you will be expected to explore cutting-edge techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to address complex challenges and drive value creation. Conducting risk modeling, scenario analysis, and evaluating business impacts will be crucial to ensure that AI solutions are robust, ethical, and aligned with organizational objectives. Additionally, you will contribute to the development of best practices, toolkits, and scalable AI pipelines while staying abreast of emerging trends and research in AI and machine learning to assess their potential application within the organization. To be successful in this role, you should possess 6-8 years of hands-on experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments. Proficiency in Python and common ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, etc., is essential. A solid understanding of data architecture, model deployment (MLOps), and experience with cloud platforms like AWS, Azure, and GCP is required. Demonstrated expertise in generative AI technologies, statistical analysis, feature engineering, and advanced machine learning techniques is highly valued. We are seeking individuals with excellent problem-solving skills, analytical thinking, and business acumen. Strong written and verbal communication abilities are essential, as you will be expected to influence and collaborate with senior stakeholders. A Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is highly preferred. If you are passionate about AI and machine learning and are looking for a challenging yet rewarding opportunity, we encourage you to apply now. We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that fosters your growth and recognizes your accomplishments.,

As a Data Analyst at our leading MNC tech space client, you will be joining a high-impact team dedicated to AI-driven optimization for industrial batch processing. Your role will involve analyzing operational data, deriving insights, and collaborating with various teams to enhance material efficiency and device performance in production plants. Key Responsibilities: - Analyze batching data and device-level feed cycle logs to evaluate product performance and identify areas for enhancement. - Work closely with Product Owners to align analytical outcomes with the Batch AI roadmap. - Develop and maintain performance dashboards to monitor key performance indicators such as batching accuracy, material waste, and system throughput. - Transform intricate datasets into actionable insights for engineering and product stakeholders. - Engage in data reviews, cross-functional planning, and product sprint meetings. - Assist in the creation of AI behavior monitoring, spotting trends, and suggesting product enhancements. - Effectively communicate technical findings to diverse stakeholders, including executives, plant engineers, and field operators. - Ensure that data interpretation meets internal standards and specific customer requirements. What We're Looking For: - Bachelor's degree in Data Science, Engineering, Analytics, or related field - 5-8 years of experience in a data analyst/production analyst role, preferably in SaaS, manufacturing, or industrial domains - Proficiency in SQL and tools like Power BI, Tableau - Familiarity with time-series, operational, or industrial IoT data - Strong analytical and problem-solving skills along with a strategic approach - Excellent communication and data storytelling abilities to simplify complex data for non-technical stakeholders - Comfortable working in Agile teams and cross-functional environments - Experience in manufacturing analytics, process control, or concrete production is a strong advantage Tools & Tech Stack: - SQL - Power BI / Tableau - Time-series / IoT Data Platforms - Jira / Agile Environments Join us to: - Contribute to a data-first AI initiative with global impact - Drive real-world improvements in material efficiency and industrial automation - Collaborate with diverse, multi-functional teams across borders - Engage in cutting-edge analytics within industrial product development Apply now to be part of this immediate hiring opportunity and become a key player in our dynamic team. Immediate joiners will be given priority. Submit your CV to furkhan.airani@comfnet.de to kickstart the process.,

As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for tracking. Collaboration with engineering teams will be a key aspect of your job to ensure the operationalization of models, both in batch and real-time scenarios, using Databricks Jobs or REST APIs. You will be responsible for implementing Delta Lake to support scalable and ACID-compliant data workflows, as well as enabling CI/CD for machine learning pipelines using Databricks Repos and GitHub Actions. In addition to your technical duties, troubleshooting Spark Jobs and resolving issues within the Databricks Environment will be part of your routine tasks. To excel in this role, you should possess 3 to 5 years of experience in predictive analytics, with a strong background in regression, classification, and time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark is crucial for success in this position. Familiarity with tools like MLflow, Feature Store, and Unity Catalog for governance purposes will be advantageous. Industry experience in Life Insurance or Property & Casualty (P&C) is preferred, and holding a certification as a Databricks Certified ML Practitioner would be considered a plus. Your technical skill set should include proficiency in Python, PySpark, MLflow, and Databricks AutoML. Expertise in predictive modeling techniques such as classification, clustering, regression, time series analysis, and NLP is required. Familiarity with cloud platforms like Azure or AWS, Delta Lake, and Unity Catalog will also be beneficial for this role.,