48 Job openings found

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.   Research and stay abreast of state-of-the-art machine learning technologies.   Follow code standards and best practices.  ...

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices. 7-8 years’ experience in ...

- 5-7 years of professional experience in data science, with a proven track record ofdelivering impactful solutions in a business setting.- Strong proficiency in machine learning techniques and algorithms, including supervisedand unsupervised learning, deep learning, and reinforcement learning.- Extensive experience in natural language processing (NLP) techniques and frameworks,such as NLTK, ...

Responsibilities: ML model development. Graph Analytics. Data/Semantic modeling. Graph databases. Research and develop statistical learning models for data analysis. Collaborate with product management and engineering departments to understand company needs and devise possible solutions. Keep up-to-date with the latest technology trends. Communicate results and ideas to key decision makers. Implement new statistical or other mathematical methodologies as needed for ...

Key Responsibilities  Model Development & Training  ○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).  ○ Implement data preprocessing pipelines, feature extraction, and  augmentation techniques.  ○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization  ○ Run model evaluations, benchmark against baselines, and perform ablation studies.  ○ ...

Qualification and Skills Required: Minimum 5 years of relevant experience Educational background in Computer Science (OR Statistics) from a premier institute with substantial experience in Big Data Analytics would also be considered. Overall 7-12 yrs experience Exposure to Machine Learning, R, Python and preferably SAS, SQL Can understand business problem well, and translate it into ...

Key Responsibilities: Model, develop, and validate robotics and agent-oriented software solutions. Apply core statistical and graphical modeling skills to solve complex problems. Train and develop transformer-based models for both tech-related and image-based applications. Work with reinforcement learning techniques to optimize agent behavior and decision-making. Collaborate with cross-functional teams to integrate machine learning models into production ...

Brownwall Food Products seeks a diligent and technically adept Data Systems Assistant to work directly with our Head of Systems and Data Strategy. This role is integral to supporting the strategic development of data systems and automation processes, assisting in streamlining our production, inventory, and CRM workflows under the guidance ...

Lead in AI/ML/RPA/Data Science (CTQ- AI/ML +Data Science + Open Stack +RPA +Python +Visualization +NLP +Government (Optional) Requirements: • BE/M.Tech/MSc (IT, Math MCA • Minimum 4 Years • Should have successfully delivered at least 3 project using AI/ML/RPA/Data Science • Should have good knowledge in opensource and open stack • Proficient in AI/ML/RPA/Data Science Solutioning • Hands-on ...

Role Overview We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments. Key Responsibilities Design, develop, and deploy AI/ML models aligned to defined business use ...