9723 Tensorflow Jobs - Page 24

Position Overview We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives. Key Responsibilities Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals. Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively. Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis. Mentor and guide team members, fostering a collaborative and innovative work environment. Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts. Qualifications Proven experience in managing AI projects and teams. Strong knowledge of deep learning architectures such as CNNs and Transformers. Prior experience in the medical image analysis field is preferred. Proficiency in programming languages including Python, C, and C++. Experience in people management and team leadership. Preferred Skills Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). Excellent communication skills and the ability to work collaboratively across teams. Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred. (ref:hirist.tech)

Qualcomm India Private Limited is seeking a candidate to join their Multimedia Audio Systems Group as a Voice AI Engineer. As part of the team, you will be responsible for prototyping and productizing Voice AI Models for tasks such as Automatic Speech Recognition (ASR), Text-to-Speech (TTS), NLP, Multilingual Translation, Summarization, Language modeling, and other Speech/text generation tasks. You will work closely with a team of engineers to develop, train, and optimize Voice AI models for efficient offload to NPU, GPU, and CPU. Additionally, you will conduct model evaluation studies, competitive analysis, and collaborate with other R&D and Systems teams for system integration, use case validation, efficient offload to HW accelerators, and commercialization support. The ideal candidate should have strong programming skills in C/C++ and Python, along with experience in ML inference optimizations. Proficiency in designing, implementing, and training DL models using high-level languages/frameworks such as PyTorch, TensorFlow, and ONNX is required. Knowledge of ML architectures and operators like Transformers, LSTM, GRUs, and familiarity with recent trends in machine learning and traditional statistical modeling/feature extraction techniques are essential. Experience in Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications, model quantization, compression techniques, software development on embedded platforms, software design patterns, multi-threaded programming, computer architecture, operating systems, data structures, algorithms, fixed-point coding, and AI HW accelerators (NPU or GPU) is a plus. Candidates should hold a Bachelor's/Masters/PhD degree in Engineering, Electronics and Communication, Computer Science, or related field, along with 3+ years of experience in Audio Systems engineering, Audio Signal Processing modules, ML Model development, or related work. Minimum qualifications include a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Systems Engineering or related work experience, or a Master's degree with 1+ year of experience, or a PhD in a related field. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. Individuals seeking accommodation during the application/hiring process can contact Qualcomm for support. The company expects its employees to adhere to all applicable policies and procedures, including security requirements regarding protection of confidential information. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. For more information about this role, please contact Qualcomm Careers.,

As a Computer Vision Engineer at wTVision in Noida, India, you will be an integral part of our development team, focusing on designing and implementing cutting-edge computer vision algorithms and systems. Your role will involve optimizing machine learning algorithms, conducting spatial and temporal analysis of object movements, developing real-time processing algorithms for Vision-AI perception metadata, and collaborating with the product team to define new features and functionalities. Your responsibilities will include analyzing and enhancing the end-to-end accuracy of the computer vision pipeline, staying abreast of emerging technologies, working on scalable software solutions with the software development team, and deploying models on edge devices like NVIDIA Jetson. You will be expected to have a strong academic background in Computer Science or related fields, proficiency in programming languages such as Python and C++, experience in image and video processing, and excellent communication and collaboration skills. Ideal candidates should have hands-on expertise with PyTorch, TensorRT, CuDNN, and Deep Learning frameworks like TensorFlow and Keras. A solid understanding of object-oriented programming, parallel computing, and concepts like Linear Algebra and 3D Geometry is required. Additionally, experience with NVIDIA Deep Stream, Jetson, and CUDA programming, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization technologies, and contributions to the computer vision community are considered advantageous. If you are self-motivated, possess strong problem-solving skills, and can deliver high-quality work while handling multiple tasks, we encourage you to apply. A passion for sports and technology will be a plus in this dynamic and innovative work environment.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Responsibilities Job Description & Summary – Associate – GenAI – Mumbai Role : Associate Exp : 3—5 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Mandatory Skill Sets GenAI Preferred Skill Sets GenAI Years Of Experience Required 3—5 Years Education Qualification B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Extract Transform Load (ETL), Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

As an AI Expert with a minimum of 10 years of experience, you will play a critical role in our organization by serving as a technical expert and solving technical blockers faced by our development teams. Your primary responsibility will be to provide guidance and expertise in the development and implementation of AI solutions. You will work closely with cross-functional teams to ensure successful integration of AI technologies into our products and services. Additionally, your role will involve actively participating in Agile methodologies, with a focus on Scaled Agile and PI planning. Key Responsibilities: - Development Governance: Guide internal and external developers and help to remove technical dependencies and impediments during the product development. - Support Product Owner from a technical perspective. - Support in technical planning of the product. - Define enablers for the product backlog. - Consult AI Architect for questions regarding technical requirements. - Contribute to the self-organizing spirit of agile delivery teams and work in a full agile process. - Provide technical expertise and guidance to development teams in the implementation of AI solutions. - Analyze and understand technical requirements and propose AI-based solutions to address complex problems. - Collaborate with cross-functional teams to design and develop AI models and algorithms that meet business objectives. - Investigate and resolve technical blockers and challenges faced by development teams during the AI implementation process. - Stay up to date with the latest advancements and trends in AI technologies and bring innovative ideas to the organization. - Actively participate in Agile methodologies, including Scaled Agile Framework (SAFe), and contribute to PI planning, backlog grooming, and sprint reviews. - Conduct code reviews, provide constructive feedback, and mentor junior team members in AI best practices and techniques. - Collaborate with stakeholders to identify opportunities for applying AI technologies and drive their adoption across the organization. Qualifications, Experience & Skills: Mandatory skills, competencies & certifications: - Bachelor's or master's degree in Computer Science, Engineering, or a related field. - Minimum of 5 years of experience working in the field of AI, with a focus on solving technical challenges and implementing AI solutions. - Strong knowledge and understanding of AI technologies, including machine learning, deep learning, natural language processing, and computer vision. - Deep understanding of AI design patterns as well as their immediate implementation. - Deep technical understanding of data processing for consumption/delivery by AI microservices. - Established knowledge of modern software development and microservice frameworks. - Deep understanding of the relevant technology landscape for AI & BI products. - Proficiency in programming languages such as Python, R, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch). - In-depth understanding of Agile methodologies, especially Scaled Agile Framework (SAFe), and experience with PI planning and related activities. - Excellent problem-solving and analytical skills, with the ability to think creatively and propose innovative AI-based solutions. - Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. - Proven track record of successfully delivering AI projects and overcoming technical challenges in complex environments. Preferred skills, competencies & certifications: - Very high proficiency in Python. - Very high proficiency in the most common Python libraries for data science and machine learning: Pandas, Numpy, Scikit-Learn, SciPy, Statsmodels, Keras, TensorFlow, PyTorch, Matplotlib. - High proficiency in dependency management via Pip and Conda. - High proficiency in code versioning via Git. - High proficiency with Jupyter notebooks. - Very good knowledge of MLFlow, both operational and deployment strategies/architectures on cloud and on-premise. - Very good knowledge of Spark (pyspark), Kafka, Hadoop, and data formats for Big Data. - Good knowledge of Flask for the development of microservices. - Good knowledge of containerization via Docker. - Good knowledge of Openshift. - Optional: data visualization tools (Power BI, Tableau). Cloud Experience: - Azure Machine Learning. - Azure Language Service. - Azure OpenAI Service. - Azure Data Lake. - Azure Kubernetes Service. - Databricks.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

As an Artificial Intelligence Engineer at CircoLife, you will play a crucial role in designing and implementing AI-driven solutions to elevate the performance, efficiency, and user experience of our IoT-enabled smart air conditioners. Your primary responsibility will be to collaborate with cross-functional teams, including hardware engineers, IoT developers, and data scientists, to develop predictive models, optimize sensor data processing, and create intelligent control algorithms that ensure smart climate management for our users. Your key responsibilities will include developing AI models that predict system failures, optimize energy consumption, and adapt to user behavior. You will analyze real-time and historical sensor data to derive valuable insights, enhance the efficiency of air conditioning systems, and design predictive maintenance models for forecasting maintenance needs. Collaborating closely with the IoT team, you will process sensor data in real-time and develop smart control algorithms that adjust the AC's operation based on environmental factors, user preferences, and energy-saving requirements. Moreover, you will work hand in hand with hardware, software, and firmware engineers to seamlessly integrate AI models with the product's IoT infrastructure. It will also be your responsibility to research new AI technologies continuously, enhance the smart AC systems, and improve overall efficiency and user satisfaction. Customizing AI solutions based on customer feedback and usage patterns to deliver personalized experiences will also be a crucial aspect of your role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. Proven experience in developing AI and machine learning solutions, particularly for IoT or sensor-based systems, is essential. Proficiency in Python, TensorFlow, PyTorch, or other AI/ML frameworks, along with experience in working with large datasets, including time-series and sensor data, is required. A strong understanding of IoT devices, embedded systems, and edge computing, as well as familiarity with cloud platforms like AWS, Google Cloud, or Azure for AI/ML deployment, is also necessary. Experience in predictive analytics and model optimization for real-time systems, excellent problem-solving skills, and the ability to thrive in a collaborative, fast-paced environment are key attributes we are looking for in potential candidates. Additionally, a solid understanding of AI in embedded systems and resource-constrained environments is highly desirable.,

The company is a global technology consulting and digital solutions provider with a team of over 84,000 professionals in more than 30 countries. They work with 700+ clients to drive innovation and competitive differentiation through digital technologies. As a Fullstack Developer specializing in generative AI systems, your responsibilities will include developing and implementing end-to-end solutions, collaborating with AI developers and data scientists to meet project requirements, and managing frontend website architecture and user interactions. You will also be involved in testing, troubleshooting, and enhancing the performance of fullstack applications. To excel in this role, you should have a degree in Computer Science, AI, Machine Learning, or a related field, along with proven experience in fullstack development and a strong understanding of generative AI technologies. Proficiency in programming languages such as Python, Fast API, Flask, JavaScript, HTML, and CSS is essential. Familiarity with AI and machine learning frameworks like TensorFlow, PyTorch, or Keras, as well as frontend and backend technologies like React, Angular, Vue.js, Node.js, Django, and databases like MongoDB, Postgres, and MySQL, will be beneficial. Your problem-solving skills, creativity, and ability to communicate complex concepts clearly will be key assets in this role. Experience with cloud platforms like AWS, Google Cloud, or Azure, and strong teamwork abilities are also desirable qualities. This is a full-time position based in Hyderabad, Hitech City, with a work mode of hybrid. The ideal candidate should have 3 to 5 years of work experience and be available to start with a notice period of 0 to 30 days. Key Skills: Data Scientist, Gen AI, Python, Fast API If you meet the requirements and are excited about the opportunity to work on cutting-edge generative AI projects, we look forward to receiving your application.,

As a Senior Data Scientist (Gen AI Developer) with 5 to 7+ years of experience, you will be based in Hyderabad and employed full-time in a hybrid work mode, spending 4 days in the office and 1 day working from home. Your primary responsibility will be to tackle a Conversational AI challenge for our client by utilizing your expertise in Speech-to-Text and Text Generation technologies. Your role will involve developing and fine-tuning Automatic Speech Recognition (ASR) models, implementing language models for industry-specific terminology, and incorporating speaker diarization to distinguish multiple voices in a conversation. Additionally, you will build conversation summarization models, apply Named Entity Recognition (NER), and use Large Language Models (LLMs) for deep conversation analysis and smart recommendations. You will also design Retrieval-Augmented Generation (RAG) pipelines leveraging external knowledge sources for enhanced performance. Furthermore, you will be tasked with creating sentiment and intent classification systems, developing predictive models for next-best-action suggestions based on historical call data and engagement, and deploying AI models on cloud platforms like AWS, Azure, or GCP. Optimizing inference and establishing MLOps pipelines for continual learning and performance enhancement will also be part of your responsibilities. To excel in this role, you must possess proven expertise in ASR, NLP, and Conversational AI systems, along with experience in tools such as Whisper, DeepSpeech, Kaldi, AWS Transcribe, and Google STT. Proficiency in programming languages like Python, PyTorch, TensorFlow, and familiarity with RAG, LangChain, and LLM fine-tuning is essential. Hands-on experience with vector databases and deploying AI solutions using Docker, Kubernetes, FastAPI, or Flask will be beneficial. Apart from technical skills, you should have strong business acumen to translate AI insights into impact, be a fast-paced problem-solver with innovative thinking abilities, and possess excellent collaboration and communication skills for effective teamwork across functions. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP projects, knowledge of multimodal AI, prompt engineering, and exposure to Reinforcement Learning (RLHF) techniques for conversational models. Join us to work on impactful real-world projects in Conversational AI and Gen AI, collaborate with innovative teams and industry experts, leverage cutting-edge tools and cloud platforms, and enjoy a hybrid work environment that promotes flexibility and balance. Your ideas will be valued in our forward-thinking, AI-first culture. To apply for this exciting opportunity, please share your updated resume at resumes@empglobal.ae or apply directly through the platform. Kindly note that while we appreciate all applications, only shortlisted candidates will be contacted. Thank you for your understanding!,

As the Lead Data Science Expert (ML/AI/Data Science) at Egnify, you will play a crucial role in uncovering valuable insights from large volumes of data sourced from various internal and external outlets. Your expertise will be instrumental in making informed decisions that contribute to the enhancement of our products and services. Your key responsibilities will include: - Demonstrating a comprehensive understanding of the business challenges at hand. - Driving data analysis and developing models that directly impact our operational efficiency. - Collaborating with professionals from diverse scientific, engineering, and business backgrounds. - Partnering with engineers to implement and monitor the performance of data-driven recommendations, proofs-of-concept, and models. - Employing machine learning techniques to select features, optimize classifiers, and build predictive systems of high quality. - Conducting data mining using cutting-edge methodologies. - Extracting insights from authentic and publicly available sources to enrich data science initiatives and address data-related challenges. - Processing, cleansing, and validating data integrity for analytical purposes. - Performing ad-hoc analyses and presenting findings in a clear and concise manner. - Developing automated anomaly detection systems and continuously evaluating their efficacy. Qualifications: - B.Tech / M.Tech / PhD in Computer Science from prestigious institutions such as IITs or IISc, with a preference for leading engineering schools. - A minimum of 6 years of overall experience, including 2-3 years of demonstrable expertise in ML/AI/Data Sciences. - Proficiency in Data and Web Data Analytics. - Experience in utilizing machine vision, data mining, or machine learning to address real-world challenges with extensive image and/or video datasets. - Proficient in Python (e.g., pandas, numpy, scikit) or equivalent scripting languages. - Familiarity with R, Matlab, or other statistical tools. - Hands-on experience with deep learning frameworks like PyTorch, Tensorflow, Keras, etc. - Strong grasp of statistics, algebra, probability, and mathematical optimization. - Interest in leveraging scientific approaches to tackle educational issues on a large scale. - Excellent communication and collaboration skills to engage effectively with individuals from diverse technical backgrounds. - Possession of patents and/or technical publications is advantageous. - Prior experience in the Ed-Tech sector is desirable. In conclusion, at Egnify, we value a culture that fosters organizational success and individual satisfaction. Upholding principles such as thinking big, solving challenging problems, focusing on experiences, promoting accountability, nurturing talent, embracing failure as a means of growth, and ensuring an enjoyable work environment are key aspects of our ethos.,

As a Back-End Developer at our company, you will be responsible for developing an AI-driven prescriptive remediation model for SuperZoom, CBRE's data quality platform. Your primary focus will be on analyzing invalid records flagged by data quality rules and providing suggestions for corrected values based on historical patterns. It is crucial that the model you develop learns from past corrections to continuously enhance its future recommendations. The ideal candidate for this role should possess a solid background in machine learning, natural language processing (NLP), data quality, and backend development. Your key responsibilities will include developing a prescriptive remediation model to analyze and suggest corrections for bad records, implementing a feedback loop for continuous learning, building APIs and backend workflows for seamless integration, designing a data pipeline for real-time processing of flagged records, optimizing model performance for large-scale datasets, and collaborating effectively with data governance teams, data scientists, and front-end developers. Additionally, you will be expected to ensure the security, scalability, and performance of the system in handling sensitive data. To excel in this role, you should have at least 5 years of backend development experience with a focus on AI/ML-driven solutions. Proficiency in Python, including skills in Pandas, PySpark, and NumPy, is essential. Experience with machine learning libraries like Scikit-Learn, TensorFlow, or Hugging Face Transformers, along with a solid understanding of data quality, fuzzy matching, and NLP techniques for text correction, will be advantageous. Strong SQL skills and familiarity with databases such as PostgreSQL, Snowflake, or MS SQL Server are required, as well as expertise in building RESTful APIs and integrating ML models into production systems. Your problem-solving and analytical abilities will also be put to the test in handling diverse data quality issues effectively. Nice-to-have skills for this role include experience with vector databases (e.g., Pinecone, Weaviate) for similarity search, familiarity with LLMs and fine-tuning for data correction tasks, experience with Apache Airflow for workflow automation, and knowledge of reinforcement learning to enhance remediation accuracy over time. Your success in this role will be measured by the accuracy and relevance of suggestions provided for data quality issues in flagged records, improved model performance through iterative learning, seamless integration of the remediation model into SuperZoom, and on-time delivery of backend features in collaboration with the data governance team.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

LooprIQ Inspect is an AI application designed to automate quality and production processes on the factory floor. With LooprIQ Inspect, customers can easily automate the detection of defects in products, verify assembly of parts, and perform various other tasks. We have developed a state-of-the-art micro-service architecture that utilizes the latest computer vision AI models in the backend to analyze real-time video data. The inference results are stored in a scalable middleware and presented through a user-friendly front-end interface optimized for operators using the app in a factory setting. The data from the app can be seamlessly integrated with the customer's ERP system for deriving valuable analytics. We are currently looking for an experienced and motivated ML Engineer to join our team in a technical lead capacity. In this role, you will be responsible for leading the development and training of computer vision models that power LooprIQ Inspect, effectively addressing complex issues faced by customers in the manufacturing and aerospace industries. Additionally, you will serve as a technical lead, providing guidance and support to other members of the ML team. As a part of our team, you will have the opportunity to: - Design, train, debug, fine-tune, and deploy deep learning models for object detection, image segmentation, and image classification tasks. - Champion dataset management and exploration using cutting-edge data platforms like Encord. - Provide technical guidance and take ownership of deliverables within a close-knit team of ML scientists. - Collaborate with cross-functional teams to understand project requirements and offer technical expertise in computer vision. - Orchestrate complex computer vision pipelines and workflows using our internal Azure & ML Flow services, ensuring reproducibility and scalability of experiments and models. - Integrate computer vision models into production applications using Python libraries and other relevant technologies. - Optimize computer vision models for performance, efficiency, and accuracy across different hardware platforms. - Stay informed about the latest advancements in computer vision and machine learning research to enhance the company's capabilities. Minimum Requirements: - Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or related fields. - 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong project portfolio. Experience in manufacturing industries is a plus. - 2+ years of proven technical leadership experience. - Proficiency in Python, familiarity with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and Linux/bash proficiency. - Experience in building, deploying, and maintaining production ML systems. - Familiarity with cloud platforms, especially Azure, for deploying and scaling computer vision models. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models. - Strong problem-solving skills, independence, innovation, and effective communication skills. Joining Loopr AI presents an exciting opportunity to work alongside a dynamic team at the forefront of computer vision technology. You will be involved in cutting-edge projects, collaborate with industry experts, and contribute significantly to solving real-world challenges using computer vision techniques.,

You will be responsible for leading the development and implementation of ML models and algorithms for Computer Vision. This includes optimizing deep learning models for tasks such as object detection and image segmentation. Your role will involve preprocessing data and creating efficient data pipelines for high-quality datasets. Additionally, you will integrate and enhance computer vision techniques and architectures to improve model performance. Collaboration with cross-functional teams will be key to integrating solutions into applications. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science or a related field. You should possess at least 2 years of experience in Machine Learning with a focus on Computer Vision. Proficiency in Python, TensorFlow, PyTorch, and OpenCV is required. A strong understanding of computer vision algorithms and deep learning is essential. Any experience with image processing and cloud platforms would be considered a plus. This is a full-time position based in Indore, MP. As part of the benefits, you will receive internet reimbursement. The work schedule is during the day shift. As part of the application process, you will be asked the following questions: 1. What is your current CTC 2. What is your expected CTC 3. Are you comfortable relocating to Indore, MP 4. How many years of experience do you have using computer vision technology ,

As an experienced professional with over 5 years of expertise in AI, Cloud Architecture (with a strong emphasis on Azure), and Global SaaS/AI/AgTech Startups, you have the opportunity to shape the future of AI-Driven Agriculture in a high-impact, senior role based in Gurugram, IN. In this role, you will be responsible for architecting scalable AI, IoT, and cloud solutions that contribute to sustainable farming practices. Working closely with the Founder & CEO, CTO, and AI/IoT teams, you will play a pivotal role in defining and executing a global-ready Azure AI-Cloud architecture. Your expertise will be instrumental in expanding the global market presence of AI-driven vertical farms & Agritech platforms into markets such as SEA, UAE, and the US. Your primary responsibilities will include architecting and scaling INNOFarms.AI's AI-powered cloud platform on Azure, optimizing AI-driven data pipelines for real-time farm monitoring, decision-making, and automation, integrating IoT, Robotics, and AI models into a scalable Cloud & Edge Computing framework, and enhancing cybersecurity, compliance, and data privacy measures for global markets. Additionally, you will provide strategic technical direction, guide engineering teams in India(Gurugram) and HK, and collaborate closely with the Founder & CEO/VCs & business teams to align tech strategy with fundraising & global expansion efforts. To excel in this role, you should bring to the table a minimum of 7 years of experience in AI, Cloud, SaaS, or IoT product scaling, deep expertise in Azure technologies such as Deep Azure IoT hub, AI, Event Hubs, CosmosDB, and Serverless Functions, hands-on experience in AI model deployment using tools like ML Ops, TensorFlow, PyTorch, and AutoML, as well as prior experience in scaling AI/SaaS startups globally, particularly in the Middle East, SEA, and US markets. Leadership experience in AI-AgTech or AI Venture would be advantageous, along with a strong ability to mentor remote, distributed engineering teams. Experience in AgriTech, IoT, or Smart Automation Platforms, as well as an understanding of regulatory, security, and compliance requirements for AI-based cloud systems, would be considered a plus for this role. If you are ready to take on this exciting opportunity and contribute to the advancement of AI-driven agriculture, we encourage you to apply by sending your resume to Careers@INNOFarms.ai.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

The Senior AI Engineer - Agentic AI position at JMD Megapolis, Gurugram requires a minimum of 5+ years of experience in Machine Learning engineering, Data Science, or similar roles focusing on applied data science and entity resolution. You will be expected to have a strong background in machine learning, data mining, and statistical analysis for model development, validation, implementation, and product integration. Proficiency in programming languages like Python or Scala, along with experience in working with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn is essential. Additionally, experience with large-scale data processing frameworks like Spark, proficiency in SQL and database concepts, as well as a solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques are required. As a Senior AI Engineer, you should possess excellent problem-solving skills and the ability to devise creative solutions to complex data challenges. Strong communication skills are crucial for effective collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science are desirable traits for this role. The ideal candidate for this position would hold a Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field. They should have 5-10 years of industry experience in developing AI solutions, including machine learning and deep learning models. Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are necessary. Furthermore, a solid understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience in working with large datasets to implement scalable AI solutions are required. Proficiency in data visualization and reporting tools, knowledge of cloud platforms like AWS, Azure, Google Cloud for AI deployment, familiarity with software development practices, and version control systems are all valued skills. Problem-solving abilities, creative thinking to overcome challenges, strong communication, and teamwork skills to collaborate effectively with cross-functional teams are essential for success in this role.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - Candidates with 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

About the Role We are seeking a highly experienced and strategic AI/ML Architect to lead the design, development, and deployment of scalable artificial intelligence and machine learning solutions. As a core member of our technical leadership team, you will play a pivotal role in building intelligent systems that drive innovation and transform digital healthcare delivery across our AI Driven Telemedicine platform. Key Responsibilities Architect AI/ML systems that support key business goals, from real-time diagnosis and predictive analytics to natural language conversations and recommendation engines. Design and oversee machine learning pipelines, model training, validation, deployment, and performance monitoring. Guide selection of ML frameworks (e.g., TensorFlow, PyTorch) and ensure proper MLOps practices (CI/CD, model versioning, reproducibility, drift detection). Collaborate with cross-functional teams (data engineers, product managers, UI/UX, backend developers) to integrate AI into real-time applications and APIs. Build and maintain scalable AI infrastructure, including data ingestion, storage, and processing layers in cloud environments (AWS, GCP, or Azure). Lead research and experimentation on generative AI, NLP, computer vision, and deep learning techniques relevant to healthcare use cases. Define data strategies, governance, and model explainability/ethics frameworks to ensure compliance with regulatory standards like HIPAA. Mentor and lead a growing team of ML engineers and data scientists. Qualifications Must-Have: Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field (PhD preferred). 7+ years of experience in AI/ML development, with at least 2 years in a lead or architect role. Proven experience designing and deploying production-grade ML systems at scale. Strong grasp of ML algorithms, deep learning, NLP, computer vision, and generative AI. Expertise in Python, ML libraries (TensorFlow, PyTorch, Scikit-learn), and ML Ops tools (MLflow, Kubeflow, SageMaker, etc.). Familiarity with data engineering pipelines (Airflow, Spark, Kafka) and cloud platforms. Strong communication and collaboration skills. Preferred: Experience with healthcare data standards (FHIR, HL7) and medical ontologies (SNOMED CT, ICD). Familiarity with AI ethics, fairness, and interpretability frameworks. Startup or early-stage product development experience.

As a global leader in assurance, tax, transaction, and advisory services, EY is dedicated to hiring and developing passionate professionals to contribute to building a better working world. At EY, you are offered a culture that values training, opportunities, and creative freedom, focusing not just on your current abilities but also on your potential for growth. Your career at EY is yours to shape, with limitless possibilities, motivating experiences, and continuous support to help you reach your professional best. EY has an exciting opportunity for the position of Senior Consultant in the National-Assurance-ASU - Audit - Standards and Methodologies team based in Kolkata. The Assurance team at EY aims to inspire confidence and trust in a complex world by protecting the public interest, promoting transparency, supporting investor confidence, and fostering talent for future business leaders. You will be involved in ensuring compliance with audit standards, providing clear perspectives to audit committees, and delivering critical information for stakeholders. Your responsibilities will include demonstrating technical excellence in audit analytics, foundational analytics, visualization, data extraction, risk-based analytics, and business understanding. Proficiency in databases, ETL, SQL, visualization tools like Tableau, Spotfire, or Qlikview, and experience in Machine Learning using R or Python is required. You should also have expertise in MS Office Suite, NLP, Web Scraping, Log Analytics, TensorFlow, AI, and Beautiful Soup. To qualify for this role, you should hold a qualification in BE/B.Tech, MSC in Computer Science/Statistics, or M.C.A, along with 5-7 years of relevant experience. EY is looking for individuals who can work collaboratively across various client departments, offer practical solutions to complex problems, and possess agility, curiosity, mindfulness, and positive energy. EY offers a dynamic work environment with a focus on skills development, learning, and career progression. As a part of EY, you will have access to personalized career journeys and resources to enhance your roles, skills, and opportunities. EY is dedicated to being an inclusive employer, ensuring the well-being and career growth of its employees while delivering excellent client service. If you meet the criteria mentioned above and are ready to contribute to building a better working world, apply now to join EY and be a part of a team committed to making a positive impact.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models, proficiency in Python, and experience with AI development libraries such as TensorFlow and PyTorch are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

As a Lead Data Scientist at DeepQuanty Artificial Intelligence Labs, you will be a key member of a dynamic team in the cutting-edge space of Artificial Intelligence and Machine Learning. With 3-8 years of experience as a lead in the Computer Vision area, your expertise will be pivotal in driving innovation and solving complex problems using Deep Learning techniques. Your role will involve collaborating closely with the Product Manager to translate product requirements into actionable plans. You will play a crucial part in product blueprint discussions and create detailed Product Technical specifications. Additionally, you will lead a team of Deep Learning Engineers, guiding them towards effective research and development outcomes. The ideal candidate for this position will have a proven track record in leveraging Deep Learning techniques to tackle challenges in Images and Text domains. You should possess the ability to identify and evaluate the most suitable algorithms for specific problems, as well as translate mathematical concepts into practical technical specifications. Proficiency in TensorFlow, PyTorch, and optimization of Deep Learning models for production deployment is essential. A solid understanding of GPUs/TPUs, along with hands-on coding expertise in Python and C++, is required. While a B.Tech / M.Tech from a reputed university is mandatory, it would be advantageous to have experience in solving Optical Character Recognition problems and familiarity with Computer Vision packages like OpenCV. This position offers a unique opportunity to work in a startup environment, where your expertise in computer vision, machine learning, robotics, and control systems will be put to the test in solving challenging product development tasks. Your role will be highly visible within our rapidly growing company, with opportunities for assuming greater responsibilities as you excel in your performance. If you are a detail-oriented individual with a passion for innovation, we invite you to join our team at DeepQuanty AI Labs.,

As a Lead Data Scientist/AI Product Owner at a reputed IT MNC in Gurgaon, your primary responsibility will be AI Model Development & Deployment, focusing on Computer Vision & Deep Learning. You will be leading the design and implementation of computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. Your expertise will include architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for image and video analysis. Additionally, you will contextualize the model for challenging situations such as poor detection through specific training on different scenarios. Another key aspect of your role will involve Reinforcement Learning & Model Explainability, where you will develop and integrate reinforcement learning models to optimize decision-making in dynamic AI environments. You will work with techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL methods. Furthermore, you will lead the development of a Scalable Data Model for AI Model Training Pipelines, overseeing the end-to-end data preparation process, including data gathering, annotation, and quality review before training. You will focus on enhancing the quality and volume of training data to continually improve model performance and have the ability to think through the data model for future enhancements. In terms of technical skills, you are expected to have a proven track record of leading and delivering AI products, hands-on expertise with advanced AI models, experience in managing and mentoring a small team of data scientists, proficiency in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing. Nice-to-have skills include Experimentation, Iterative Improvement and Testing, Collaboration with Engineering and Product Teams, and Team Leadership. To qualify for this role, you should have at least 10 years of hands-on experience in AI with a solid background in object detection, image and video processing, and computer vision.,