1752 Keras Jobs - Page 19

Job Summary We are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team. The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools. ________________________________________ Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems. Understand the mathematics behind machine learning algorithms to effectively implement and optimize them. Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability. Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements. Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects. ________________________________________ Required Qualifications Mathematics & Theoretical Foundations Strong foundation in Linear Algebra (e.g., matrix operations, eigenvalues, SVD). Proficiency in Probability and Statistics (e.g., Bayesian inference, hypothesis testing, distributions). Solid understanding of Calculus (e.g., gradients, partial derivatives, optimization). Knowledge of Numerical Methods and Convex Optimization. Familiarity with Information Theory, Graph Theory, or Statistical Learning Theory is a plus. Programming & Software Skills Proficient in Python (preferred), with experience in libraries such as: o NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Experience with deep learning frameworks: o TensorFlow, PyTorch, Keras, or JAX Familiarity with ML Ops tools: o MLflow, Kubeflow, Airflow, Docker, Kubernetes Experience with cloud platforms (AWS, GCP, Azure) for model deployment. Machine Learning Expertise Hands-on experience with supervised, unsupervised, and reinforcement learning. Understanding of model evaluation metrics and validation techniques. Experience with large-scale data processing (e.g., Spark, Dask) is a plus. ________________________________________ Preferred Qualifications Masters or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Publications or contributions to open-source ML projects. Experience with LLMs, transformers, or generative models. Remote (Chennai - possible to travel Chennai for meetings)

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services and tools.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience in developing and deploying chatbots and conversational agents.- Familiarity with image processing techniques and applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of AI and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI applications.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques to ensure high-quality input for machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing platforms and services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Computer Vision Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making processes. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and best practices among team members to enhance overall team performance.- Develop and implement strategies to optimize AI and machine learning models for improved efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of image processing techniques and algorithms.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data augmentation and preprocessing methods for computer vision tasks.- Ability to implement and optimize convolutional neural networks for various applications. Additional Information:- The candidate should have minimum 12 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Additional Information:- The candidate should have a minimum of 5 years of real time experience in Machine Learning.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the overall success of projects and drive advancements in AI technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals and assist in their development.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Product Development Management Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Product Development Management.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Product Development Management.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop appropriate AI models to meet those needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI applications.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : NoSQL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in NoSQL.- Strong understanding of AI and ML concepts.- Experience with cloud AI services like AWS SageMaker or Google AI Platform.- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.- Hands-on experience in developing AI applications.- Familiarity with chatbot development and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in NoSQL.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Value Architecture & Realization Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Research and experiment with new AI technologies.- Contribute to the development of AI strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Value Architecture & Realization.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Value Architecture & Realization.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that enhance the capabilities of AI technologies. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to foster their growth and development.- Continuously evaluate and improve existing processes to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with image processing techniques and algorithms.- Familiarity with cloud platforms and services for deploying AI solutions.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 7.5 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Implement computer vision applications using OpenCV & object detection techniques, segmentation , Train and fine tune models Develop machine learning models with Python, Docker, AWS SageMaker & IAM. Work from home

Position Title: AI Specialist - Impact Based Forecasting Due to the operational nature of this role, preference will be given toapplicants who are currently based in Chennai, India and possess valid work authorization. RIMES is committed to diversity and equal opportunity in employment. Open Period: 11 July 2025 – 10 August 2025 Background: The Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) is an international and intergovernmental institution, owned and governed by its Member States, for the generation, application, and communication of multi-hazard early warning information. RIMES was formed in the aftermath of the 2004 Indian Ocean tsunami, as a collective response by countries in Africa and Asia to establish a regional early warning system within a multi-hazard framework, to strengthen preparedness and response to trans-boundary hazards. RIMES was formally established on 30 April 2009 and registered with the United Nations on 1 July 2009. It operates from its regional early warning center located at the Asian Institute of Technology (AIT) campus in Pathumthani, Thailand. Position Description: The AI Specialist – Impact-Based Forecasting design and implement AI-based solutions to support predictive analytics and intelligent decision support across sectors (e.g., climate services, disaster management /The AI Specialist will play a central role in building robust data pipelines, integrating multi-source datasets, and enabling real-time data-driven decision-making by stakeholders. The role involves drawing from and contribute to multi-disciplinary datasets and working closely with a multi-disciplinary team within RIMES for generating IBF DSS, developing contingency plans, automating monitoring systems, contributing to Post-Disaster Needs Assessments (PDNA), and applying AI/ML techniques for risk reduction. This position requires a strong understanding of meteorological, hydrological, vulnerability and exposure patterns and translates data into actionable insights for disaster preparedness and resilience planning. The position reports to the Meteorology and Disaster Risk Modeling Specialist and India Regional Program Adviser, overseeing the AI Specialist – Impact-Based Forecasting’s work or as assigned by RIMES’ institutional structure and in close coordination with the Systems Research and Development Specialist and Project Manager. Duty station: RIMES Project Office Chennai, India (or other locations as per project requirements). Type of Contract: Full-time Project-Based contract Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: Minimum of 3 years of experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services. Experience in multi-stakeholder projects and facilitating capacity-building programs. Knowledge Skills and Abilities: Machine Learning Fundamentals: Deep understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning. This includes regression, classification, clustering, time series analysis, anomaly detection, etc. Deep Learning: Proficiency with deep learning architectures (e.g., CNNs, RNNs, LSTMs, Transformers) and frameworks (TensorFlow, PyTorch, Keras). Ability to design, train, and optimize complex neural networks. Strong programming skills in Python, with extensive libraries (NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn, GeoPandas). Familiarity with AI tools: such as PyTorch, TensorFlow, Keras, MLflow, etc. Data Visualization: Ability to create clear, compelling visualizations to communicate complex data and model outputs. Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong plus. Proficiency in technical documentation and user training. Personal Qualities: Excellent interpersonal skills; team-orientated work style; pleasant personality. Strong desire to learn and undertake new challenges. Creative problem-solver; willing to work hard. Analytical thinker with problem-solving skills. Strong attention to detail and ability to work under pressure. Self-motivated, adaptable, and capable of working in multicultural and multidisciplinary environments. Strong communication skills and the ability to coordinate with stakeholders. Major Duties and Responsibilities: Impact Based Forecasting Collaborate with other members of the IT team, meteorologists, hydrologists, GIS specialists, and disaster risk management experts within RIMES to ensure the development of IBF DSS. Develop AI models (e.g., NLP, computer vision, reinforcement learning) Integrate models into applications and dashboards. Ensure model explainability and ethical compliance. Assist the RIMES Team in applying AI/ML models to forecast hazards and project likely impacts based on exposure and vulnerability indices. Work with forecasters and domain experts to automate the generation of impact-based products. Ensure data security, backup, and compliance with data governance and interoperability standards. Train national counterparts on the use and management of the AL, including analytics dashboards. Collaborate with GIS experts, hydromet agencies, and emergency response teams for integrated service delivery. Technical documentation on data architecture, models, and systems. Capacity Building and Stakeholder Engagement Facilitate training programs for team members and stakeholders, focusing on RIMES policies, regulations, and the use of forecasting tools. Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required. Prepare and implement training programs to enhance team capacity and submit training outcome reports. Reporting Prepare technical reports, progress updates, and outreach materials for stakeholders. Maintain comprehensive project documentation, including strategies, milestones, and outcomes. Capacity-building workshop materials and training reports. Other Responsibilities Utilize AI skills to assist in system implementation plans and decision support system (DSS) development. Utilize skills to assist in system implementation plans and decision support system (DSS) development. Assist in 24/7 operational readiness for client early warning systems such as SOCs, with backup support from RIMES Headquarters. Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organizational needs. The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that could be needed from time to time. Contract Duration The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra@rimes.int by midnight of 10 August 2025, Bangkok time. Please state “AI Specialist—Impact-Based Forecasting: Your Name “the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head-Department of Operational Support Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply. Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Schedule: Monday to Friday Ability to commute/relocate: Chepauk, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Kindly specify your salary expectation per month. Do you have any experience or interest in working with international or non-profit organizations? Please explain. Education: Bachelor's (Required) Experience: working with international organization: 1 year (Preferred) Data engineering: 3 years (Required) Data analytics: 3 years (Required) Disaster management: 3 years (Preferred) Language: English (Required) Location: Chepauk, Chennai, Tamil Nadu (Required)

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Job Title: – Software engineer Location: Remote Function/Department: Platform Engineering Position Summary We are looking for a talented and motivated Software Engineer with 2-4 years of experience in MERN stack (MongoDB, Express.js, React.js, Node.js) to join our team. The successful candidate will contribute to the development and maintenance of applications, ensuring their performance and quality. Responsibilities Develop and maintain software applications using the MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Troubleshoot, debug, and optimize existing applications for performance and scalability. Participate in full software development lifecycle, including requirement gathering, design, development, testing and deployment Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage. Required Skills proficiency in development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Strong problem-solving skills. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. What We're Looking For Required Skills Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

DESCRIPTION We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As an engineer you will be responsible for: Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About the team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Amazon.in Software Development

Position: Senior Data Scientist Location: Thane West, Mumbai Experience: 5 to 12 Years CTC: Up to ₹22 LPA About the Role: We are looking for a passionate and highly skilled Senior Data Scientist / Machine Learning Specialist to join our dynamic team. This individual will play a key role in designing, building, and deploying innovative machine learning systems and contributing to product development initiatives across cloud and edge computing environments. Key Responsibilities: Analyze and solve complex problems by proposing, designing, and delivering scalable technical solutions. Study and transform data science prototypes into production-ready systems. Design and develop machine learning applications and systems. Research and implement suitable ML algorithms and tools. Select appropriate datasets and data representation techniques. Conduct ML tests, experiments, and statistical analysis to refine model performance. Train and retrain systems as needed. Extend and customize existing ML libraries and frameworks for specific use cases. Collaborate closely with cross-functional teams for product development initiatives, including work on distributed systems, fault-tolerant architecture, containerization, etc. Required Technical Skills: Strong programming skills (Python preferred). Solid understanding of Data Structures and Algorithms. Proficiency in R, TensorFlow, SciPy, and ML frameworks such as Keras, PyTorch, or scikit-learn. Experience with Generative AI (GenAI) implementation in at least one project. Working knowledge of LLM tools and techniques. Expertise in Cloud Services: AWS, GCP, or Azure. In-depth knowledge of machine learning concepts, statistics, probability, and applied mathematics. Familiarity with full-stack development concepts is a plus. Experience with one or more DBMS platforms. Excellent analytical and problem-solving skills. Strong communication skills and the ability to work well in a team. Who Should Apply: Candidates with notice periods of 15 days or less only (strict requirement). Local candidates preferred — must be located between Dadar and Vashi. Let’s Connect! Send your updated resume to: sayaji@expediteinformatics.com Call us at: +91 96655 66357

Role & responsibilities : you'll craft innovative ML solutions ready for both showcase and deployment in real-world scenarios. By staying engaged in research on the latest developments in the field and working with internal and external stakeholders, you will deliver statistically driven outcomes using best-in-class engineering practices to improve standards of care while guiding and mentoring more junior data scientists. Join us in this dynamic role and be at the forefront of technological innovation. Preferred candidate profile Must have: Good communication skills 1. Need 5 Years hands on experience in Data Science 2. Need 3 Years experience in exploratory data analysis and visualization methods, classification and regression algorithms,statistical analysis and modelling 3. Experience with programming language is must and Python is preferred. 4. Need 2 year experience in healthcare or Finance or Banking and a matrixed organization 5. Need 2 years experience with any one ML frameworks such as Scikit-Learn, Tensorflow, or Keras or similar 6. 1 Year experience in mentoring junior members of the team 7. 3 years experience with numeric, imaging, and textual data wrangling and visualization 8. 2 years experience with cloud platforms and ML services 9. 1 year experience in GenAI and training LLMs 10. Experience in operational research paper 1. Key asks for the role: Experience in Data Science to work on given problem statement Data science is not static; it requires continuous learning and adaptation to new algorithms, approaches, and technological advancements He should be a proactive learner, strategic thinker, and collaborative team player who can effectively leverage new technologies and approaches to drive value for the organization. For IC4 level, expectation from Leadership experience is who demonstrates a combination of independence, 1 year in mentoring abilities, potential for future leadership, strong communication skills, effective task management, and collaborative spirit. He should be technical expert not a people management person. Hands on experience with programming language with clear OOPS concepts. Since we are looking for hands on experience with cloud platforms, any cloud experience is ok- GCP,Azure, AWS Need a candidate with domain expertise because along with strong analytical and technical skills he should understand the specific nuances and challenges of the industry they will be working in Would prefer candidates with a PhD and research experience; however, since there are 9 open positions, we are open to balancing the requirement by including a few hires without this background. Warm Regards, Abhishek Lahane Senior HR Executive ________________________________________________________ Peoplefy PUNE | MUMBAI | DELHI | HYD | BLR Email: abhishek.la@peoplefy.com Linkedin: linkedin.com/in/abhishek2741 http://www.peoplefy.com

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. To learn more visit: www.syngenta.com Job Description Purpose Be integral part of the P&S Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta’s P&S operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements. Qualifications Required Knowledge & Technical Skills Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Understanding of ETL processes and data pipeline design. Required development skills: Data Science – TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc. Programming – Python with pytorch and tensorflow Data – SQL, EDA, Descriptive and Predictive analysis, visualization Preferred additional skills: Web services – RESTful APIs and API testing, JSON, etc. Front end – JavaScript, Flask, React, Node.js, Vue, Django, or other. Tools – Git, npm, pip, Heroku, or other tools. Knowledge and hands-on experience supervised and unsupervised ML using Logistic/multi-variate regression, Gradient Boosting, Decision Trees, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization, etc. Preference for proven experience in adapting algorithms to required models - Regression, Decision Trees, Random Forests, LLM. Preference for experience in production and supply domain: production planning, supply chain, logistics, track and trace, CRM, etc. Preference for experience in Deep Learning model development in agriculture, supply chain or related domains. Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.). Must be able to work on end to end activities from design, development and deployment Required Experience Previous internship, placement, or project experience in data engineering, data science, software development, or a related field. Required 2 years experience of building data science projects using AI/ML models. Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential). Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: Twitter & LinkedIn https://twitter.com/SyngentaAPAC https://www.linkedin.com/company/syngenta/ India page https://www.linkedin.com/company/70489427/admin/

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,