It was nice visiting your profile in portal, One of our top MNC client has critical job position on C++ Software Engineer for Pune Location Please Apply relevant Profiles Candidates should have Trading platform experience Candidates Required Skill: C++ Software Engineer Years of Experience:5 to 10 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location:Pune Working model:Hybred Interview: Online Job Description We are currently seeking a driven and talented C++ Software Engineer to join our team. Our Software Engineers thrive on pushing the limits of technology to produce state-of-the-art applications for TTs platform, which is the front-end screen of choice for professional derivatives traders around the world. As a Software Engineer you will work on our award-winning trading platform which incorporates robust, high-performance tools for spread trading, strategy creation, algorithmic and automated trading, black-box execution, high-frequency proximity-based trading and more. What WIll You be Involved With? Code day to day in C++ and other programming languages Design and implement software requirements and new product features Enhance and maintain existing functionality Participate in design discussions and review sessions Create high-level and detailed design documents Assist with product documentation, unit testing and ensuring overall product quality Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture Provide software development plans that meet future needs of clients and markets Evolve the new software platform and architecture by introducing new components and integrating them with existing ones Perform memory and resource management analysis Analyze stack traces, core dumps and production incident reports from traders and support teams Propose fixes, enhancements to existing trading systems Adhere to release and sprint planning with the Quality Assurance Group and Project Management Attend and participate in daily scrum meetings Design, develop, program server-side software components What Will You Bring to the Table? A minimum 5 years of solid modern C++ development experience and the ability to understand, write, review and debug multithreaded code is required Proven experience in multi-threaded applications with a focus on performance is required Experience in the trading industry (specifically market data algorithmic trading) is strongly preferred Experience with Linux operating systems is a plus Knowledge of Python is a plus Knowledge of Scala is a plus Experience with financial trading systems experience is a plus but not required Strong object-oriented design and programming skills Ability to understand business requirements and translate them into technical requirements and working application code Familiarity with agile/iterative development methodologies Solid debugging and performance tuning skills What We Bring to the Table? Competitive benefits, including medical, dental, vision, FSA, HSA, 401(k) and pre-tax transit/parking Flexible work schedules with some remote work 22 PTO (paid time off) days per year with the ability to roll over days into the following year, one day per year available for volunteering, 2 Training days per year to allow uninterrupted professional development, 1 additional PTO day added during a milestone year, robust paid holiday schedule with early dismissal, generous parental leave (for all genders and staff, including adoptive parents), and backup child and pet care as well as tutoring services The company provided top-of-the-line tech resources and a tech accessories budget for monitors, headphones, keyboards, office equipment. Milestone anniversary bonuses Stipend and subsidy contributions toward personally-owned cell phones and laptops, gym memberships, and health/wellness initiatives (including discounted healthcare premiums and healthy meal delivery programs) If you are interested. If you have any doubts, we are available over email and calls to clarify you If you are interested, Kindly apply for this position with above details to process further with our client. If you have any queries, please feel free to contact us, Thank you for your time. With regards Arun Integration Minds +91-9036020999 This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position on C++ Software Engineer for Pune Location Please Apply relevant Profiles Candidates should have Trading platform experience Candidates Required Skill: C++ Software Engineer Years of Experience:5 to 10 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location:Pune Working model:Hybred Interview: Online Job Description We are currently seeking a driven and talented C++ Software Engineer to join our team. Our Software Engineers thrive on pushing the limits of technology to produce state-of-the-art applications for TTs platform, which is the front-end screen of choice for professional derivatives traders around the world. As a Software Engineer you will work on our award-winning trading platform which incorporates robust, high-performance tools for spread trading, strategy creation, algorithmic and automated trading, black-box execution, high-frequency proximity-based trading and more. What WIll You be Involved With? Code day to day in C++ and other programming languages Design and implement software requirements and new product features Enhance and maintain existing functionality Participate in design discussions and review sessions Create high-level and detailed design documents Assist with product documentation, unit testing and ensuring overall product quality Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture Provide software development plans that meet future needs of clients and markets Evolve the new software platform and architecture by introducing new components and integrating them with existing ones Perform memory and resource management analysis Analyze stack traces, core dumps and production incident reports from traders and support teams Propose fixes, enhancements to existing trading systems Adhere to release and sprint planning with the Quality Assurance Group and Project Management Attend and participate in daily scrum meetings Design, develop, program server-side software components What Will You Bring to the Table? A minimum 5 years of solid modern C++ development experience and the ability to understand, write, review and debug multithreaded code is required Proven experience in multi-threaded applications with a focus on performance is required Experience in the trading industry (specifically market data algorithmic trading) is strongly preferred Experience with Linux operating systems is a plus Knowledge of Python is a plus Knowledge of Scala is a plus Experience with financial trading systems experience is a plus but not required Strong object-oriented design and programming skills Ability to understand business requirements and translate them into technical requirements and working application code Familiarity with agile/iterative development methodologies Solid debugging and performance tuning skills What We Bring to the Table? Competitive benefits, including medical, dental, vision, FSA, HSA, 401(k) and pre-tax transit/parking Flexible work schedules with some remote work 22 PTO (paid time off) days per year with the ability to roll over days into the following year, one day per year available for volunteering, 2 Training days per year to allow uninterrupted professional development, 1 additional PTO day added during a milestone year, robust paid holiday schedule with early dismissal, generous parental leave (for all genders and staff, including adoptive parents), and backup child and pet care as well as tutoring services The company provided top-of-the-line tech resources and a tech accessories budget for monitors, headphones, keyboards, office equipment. Milestone anniversary bonuses Stipend and subsidy contributions toward personally-owned cell phones and laptops, gym memberships, and health/wellness initiatives (including discounted healthcare premiums and healthy meal delivery programs) If you are interested. If you have any doubts, we are available over email and calls to clarify you If you are interested, Kindly apply for this position with above details to process further with our client. If you have any queries, please feel free to contact us, Thank you for your time. With regards Arun Integration Minds +91-9036020999 This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position on C++ Software Engineer for Pune Location Please Apply relevant Profiles Candidates should have Trading platform experience Candidates Required Skill: C++ Software Engineer Years of Experience:5 to 10 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location:Pune Working model:Hybred Interview: Online Job Description We are currently seeking a driven and talented C++ Software Engineer to join our team. Our Software Engineers thrive on pushing the limits of technology to produce state-of-the-art applications for TTs platform, which is the front-end screen of choice for professional derivatives traders around the world. As a Software Engineer you will work on our award-winning trading platform which incorporates robust, high-performance tools for spread trading, strategy creation, algorithmic and automated trading, black-box execution, high-frequency proximity-based trading and more. What WIll You be Involved With? Code day to day in C++ and other programming languages Design and implement software requirements and new product features Enhance and maintain existing functionality Participate in design discussions and review sessions Create high-level and detailed design documents Assist with product documentation, unit testing and ensuring overall product quality Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture Provide software development plans that meet future needs of clients and markets Evolve the new software platform and architecture by introducing new components and integrating them with existing ones Perform memory and resource management analysis Analyze stack traces, core dumps and production incident reports from traders and support teams Propose fixes, enhancements to existing trading systems Adhere to release and sprint planning with the Quality Assurance Group and Project Management Attend and participate in daily scrum meetings Design, develop, program server-side software components What Will You Bring to the Table? A minimum 5 years of solid modern C++ development experience and the ability to understand, write, review and debug multithreaded code is required Proven experience in multi-threaded applications with a focus on performance is required Experience in the trading industry (specifically market data algorithmic trading) is strongly preferred Experience with Linux operating systems is a plus Knowledge of Python is a plus Knowledge of Scala is a plus Experience with financial trading systems experience is a plus but not required Strong object-oriented design and programming skills Ability to understand business requirements and translate them into technical requirements and working application code Familiarity with agile/iterative development methodologies Solid debugging and performance tuning skills What We Bring to the Table? Competitive benefits, including medical, dental, vision, FSA, HSA, 401(k) and pre-tax transit/parking Flexible work schedules with some remote work 22 PTO (paid time off) days per year with the ability to roll over days into the following year, one day per year available for volunteering, 2 Training days per year to allow uninterrupted professional development, 1 additional PTO day added during a milestone year, robust paid holiday schedule with early dismissal, generous parental leave (for all genders and staff, including adoptive parents), and backup child and pet care as well as tutoring services The company provided top-of-the-line tech resources and a tech accessories budget for monitors, headphones, keyboards, office equipment. Milestone anniversary bonuses Stipend and subsidy contributions toward personally-owned cell phones and laptops, gym memberships, and health/wellness initiatives (including discounted healthcare premiums and healthy meal delivery programs) If you are interested. If you have any doubts, we are available over email and calls to clarify you If you are interested, Kindly apply for this position with above details to process further with our client. If you have any queries, please feel free to contact us, Thank you for your time. With regards Arun Integration Minds +91-9036020999 This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position on C++ Software Engineer for Pune Location Please Apply relevant Profiles Candidates should have Trading platform experience Candidates Required Skill: C++ Software Engineer Years of Experience:5 to 10 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location:Pune Working model:Hybred Interview: Online Job Description We are currently seeking a driven and talented C++ Software Engineer to join our team. Our Software Engineers thrive on pushing the limits of technology to produce state-of-the-art applications for TTs platform, which is the front-end screen of choice for professional derivatives traders around the world. As a Software Engineer you will work on our award-winning trading platform which incorporates robust, high-performance tools for spread trading, strategy creation, algorithmic and automated trading, black-box execution, high-frequency proximity-based trading and more. What WIll You be Involved With? Code day to day in C++ and other programming languages Design and implement software requirements and new product features Enhance and maintain existing functionality Participate in design discussions and review sessions Create high-level and detailed design documents Assist with product documentation, unit testing and ensuring overall product quality Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture Provide software development plans that meet future needs of clients and markets Evolve the new software platform and architecture by introducing new components and integrating them with existing ones Perform memory and resource management analysis Analyze stack traces, core dumps and production incident reports from traders and support teams Propose fixes, enhancements to existing trading systems Adhere to release and sprint planning with the Quality Assurance Group and Project Management Attend and participate in daily scrum meetings Design, develop, program server-side software components What Will You Bring to the Table? A minimum 5 years of solid modern C++ development experience and the ability to understand, write, review and debug multithreaded code is required Proven experience in multi-threaded applications with a focus on performance is required Experience in the trading industry (specifically market data algorithmic trading) is strongly preferred Experience with Linux operating systems is a plus Knowledge of Python is a plus Knowledge of Scala is a plus Experience with financial trading systems experience is a plus but not required Strong object-oriented design and programming skills Ability to understand business requirements and translate them into technical requirements and working application code Familiarity with agile/iterative development methodologies Solid debugging and performance tuning skills What We Bring to the Table? Competitive benefits, including medical, dental, vision, FSA, HSA, 401(k) and pre-tax transit/parking Flexible work schedules with some remote work 22 PTO (paid time off) days per year with the ability to roll over days into the following year, one day per year available for volunteering, 2 Training days per year to allow uninterrupted professional development, 1 additional PTO day added during a milestone year, robust paid holiday schedule with early dismissal, generous parental leave (for all genders and staff, including adoptive parents), and backup child and pet care as well as tutoring services The company provided top-of-the-line tech resources and a tech accessories budget for monitors, headphones, keyboards, office equipment. Milestone anniversary bonuses Stipend and subsidy contributions toward personally-owned cell phones and laptops, gym memberships, and health/wellness initiatives (including discounted healthcare premiums and healthy meal delivery programs) If you are interested. If you have any doubts, we are available over email and calls to clarify you If you are interested, Kindly apply for this position with above details to process further with our client. If you have any queries, please feel free to contact us, Thank you for your time. With regards Arun Integration Minds +91-9036020999 This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position on QA AUTOMATION ENGINEER forPune Location Please Apply relevant Profiles Candidates Required Skill: JQA AUTOMATION ENGINEER Years of Experience:3 to 10 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location:Pune Working model:Hyberad Interview: Online Job Description Candidates should have Trading platform experience We are currently seeking a self-motivated technical Test Engineer who thrives on exposing issues and improving the quality of our state-of-the-art trading applications. Test Engineers are constantly challenged to understand complex trading strategies, uncover software issues in our trading platform through testing, and provide product feedback to improve end-user experience. What Will You Be Involved With? Design, develop, and execute automated test cases based on software requirements and technical design specs Assist in reproducing, investigating, and debugging software issues in coordination with the Development team Recommend product improvements, usability enhancements, or corrections in coordination with the Product Management team Responsible for testing product releases using a combination of automated and manual tests Thoroughly test new features manually, then convert them to automated tests for the regression suite Help identify gaps in test coverage and write manual tests and automation to plug the gaps Attend status meetings with development and other quality engineers to report on progress and challenges with current projects. What You Bring To The Table 3+ years experience with scripting automated tests Strong Experience with Python is required; Experience with Linux is also a plus Strong analytical skills and commitment to continuous testing improvement Must understand the testing and development life cycle methodologies Knowledge of the financial industry and trading systems is a strong plus What We Bring To The Table Competitive benefits, including medical, dental, vision, Flexible work schedules with hybrid work the expectation of 2 days on-site 21 PTO (paid time off) days per year with the ability to roll over days into the following year, 1 day per year available for volunteering, 2 Training days per year to allow uninterrupted professional development, 1 additional PTO day added during milestone year, a robust paid holiday schedule with early dismissal, and generous parental leave (for all genders and staff, including adoptive parents) Tech resources, including, a rent-to-own program where employees are eligible for a company-provided Mac/PC laptop and/or mobile phone of their choice; and a tech accessories budget for monitors, headphones, keyboards, office equipment, etc. Subsidy contributions toward gym memberships and health/wellness initiatives Milestone anniversary bonuses Forward-thinking, a culture-based organization with collaborative teams that promote diversity and inclusion If you are interested. If you have any doubts, we are available over email and calls to clarify you If you are interested, Kindly apply for this position with above details to process further with our client. If you have any queries, please feel free to contact us, Thank you for your time. With regards Arun Integration Minds +91-9036020999 This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less