1642 Computer Vision Jobs - Page 38

AI/ML Engineers1 AI/ML (Artificial Intelligence/Machine Learning) engineers with 3+ years of experience and having knowledge of Python, Microsoft OpenAI, and GitHub Copilot, along with AWS (Amazon Web Services) cloud experience. Design, implement, and optimize machine learning algorithms using Python to solve complex business problems. Build Prototypes, demos and Gen AI and AI/ML Solutions. Leverage Microsoft OpenAI and GitHub Copilot for enhanced code suggestions and collaboration. Train, evaluate, and fine-tune machine learning models on large datasets using frameworks like TensorFlow or PyTorch. Utilize OpenAI's models for natural language processing tasks and generate code snippets with Copilot to expedite development. Perform data preprocessing tasks, including cleaning, normalization, and feature engineering, to prepare datasets for machine learning models. Use Python libraries and tools to extract meaningful features from raw data. Deploy and manage machine learning models on AWS cloud infrastructure. Utilize AWS services like SageMaker for model training, deployment, and monitoring. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Document code, models, and processes to ensure transparency and facilitate knowledge transfer. Implement CI/CD pipelines to automate the testing, deployment, and monitoring of machine learning models. Use GitHub Copilot to enhance code quality and efficiency in the development lifecycle. Monitor the performance of deployed models and optimize them for scalability, speed, and accuracy. Implement best practices for model versioning and management. Ensure that machine learning solutions adhere to security standards and compliance requirements. Implement secure coding practices and data protection measures. Stay updated on the latest advancements in AI/ML, Python, OpenAI, and cloud technologies. Experiment with new models, techniques, and tools to drive innovation within the team. Troubleshoot and debug issues related to machine learning models, Python code, and cloud infrastructure. Collaborate with support teams to address production issues promptly. Provide guidance and training to team members on AI/ML best practices, Python coding standards, and effective use of OpenAI and Copilot. Conduct workshops or knowledge-sharing sessions within the organization. Optimize cloud resources to ensure cost-effectiveness in model training and deployment on AWS. Proficiency in python, Gen AI, Microsoft OpenAI, and GitHub Copilot, along with AWS Strong knowledge of Python, TensorFlow and PyTorch Strong knowledge of NLPs like Microsoft OpenAI and Copilot Knowledge of cloud platforms like Amazon Web Services. Solid understanding of SQL and data manipulation techniques for data extraction, transformation, and loading. Ability to understand business requirements and translate them into meaningful solutions. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to work effectively with business users, data analysts, and other stakeholders. Educational Qualifications Bachelor's degree in computer science, software engineering, mathematics, or a related field is often the minimum requirement Knowledge of Data science will be added advantage .

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine Perks and benefits 10% additional variable on top of fixed +mediclaim

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The successful candidate(s) will be responsible for: Development and productize various video solutions on Qualcomm processors Enhance video, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of video, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm Video solutions. Skills/experience Recent and relevant experience of 6-10 years required in one or more of the following areas: Embedded systems domain Solid C programming skills, multithreading and OS concepts\fundamentals Collaborate with cross-functional teams to design, implement and debug video\multimedia features for mobiles. Good analytical and problem-solving skills. Able to guide team members on assignments Able to lead team of 2-5 engineers, handle task assignments, decide strategy for the team Has good decision making, resource planning skills Preferred Skills Good understanding of signal processing, video compression\codecs (Encoder + Decoder) and other video pre/post processing algorithms. Any of the multimedia (Video, Camera, Computer Vision) domain experience. Hands on knowledge\experience on H.264\HEVC\VP9\MPEG family video codec(s) development, porting and optimization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Preferred Qualifications: Master's Degree in Engineering, Information Systems, Computer Science or related field. 12+ years of Systems Engineering or related work experience. 8+ years of 4G/5G/6G systems and associated cellular standards (e.g., 3GPP NR, LTE, LTE, 3G). 3+ years of experience working in a large matrixed organization. 2+ years of supervisory experience. 2 + years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). 1+ year in a technical leadership role with or without direct reports. Principal Duties and Responsibilities: Leverages advanced Systems knowledge and experience to research, design, develop, simulate, and/or validate critical systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met. Performs highly complex functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes highly complex system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with cross-functional teams (e.g., product management teams, engineering teams, etc.) to complete project work, including implementing and verifying the system. Develops algorithms and works on new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of highly complex problems at the system level to determine root cause and presents results of testing and debugging to internal and external stakeholders. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Skills/experience: Recent and relevant experience required in one or more of the following areas: 3-6 years of experiences in image processing/computer vision/video domain. Good understanding of image processing and computer vision fundamentals.. Hands on knowledge\experience on camera/computer vision pipeline, development, porting and optimization Experience in optimizing the image processing kernels on x86/ARM-Neon/DSP or Any VLIW based architecture. Solid C\assembly programming skills, multithreading and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement and debug CV\multimedia features for mobiles. Good analytical and problem solving skills. Exposure to OpenCV APIs is a plus. Responsibilities: The successful candidate(s) will be responsible for: Development and productize various CV solutions on Qualcomm processors. Optimize CV algorithms on CPU, DSP & GPUs. Enhance CV, imaging Firmware solutions and help with video, imaging hardware subsystem enhancements in future Qualcomm Mobile Processors Design of CV, imaging features and work with a wide set of teams across the company (systems, software, hardware, etc.) in the productization Customer interaction to commercialize Qualcomm CV solutions. Education requirements: RequiredBachelor's/Master’s Computer Engineering and/or Electrical / Electronics Engineering Preferred Masters

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Minimum Qualifications: Experienced candidates (8-12 years) are welcome to apply. Industry experience in image processing, computer vision, machine learning and video domain. Strong motivation and ability in learning new subjects especially in the field of artificial intelligence Excellent understanding of image processing and computer vision fundamentals. Strong programming skills in C\C++, Python, OpenGL Strong multithreading, and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement, and debug machine learning software applications Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal). Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Advanced understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Proficient in OOP principles Knowledge of GPU Programming / Architecture is a bonus Ability to work effectively as part of a global team Responsibilities: The successful candidate(s) will be responsible for: Leverage advanced computer architecture knowledge for analyzing and optimizing custom processors/accelerators Develop and train data-driven architecture models, correlating these models, and performing system-level architecture analysis. Design, develop and test advanced solutions for AI processors. Work independently with minimal supervision Provide guidance/supervision to team members Education requirements: RequiredMaster’s Computer Engineering and/or Electrical / Electronic Engineering PreferredPhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning) Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Akridata (https://akridata.ai) is a US-based, Series A-funded startup revolutionizing the quality inspection of manufacturing and infrastructure using cutting-edge Visual AI technologies. The team in India owns all product development and ML activities, providing exciting opportunities to be at the forefront of high-impact work. Responsibilities Ideate and experiment with approaches to address customers AI solution requirements using the platform and algorithmic capabilities. Work closely with customer specific AI solutioning requirements and connect it with the algorithmic capabilities available in the product charting out a plan of action. Participate in discussions with product and backend development teams to harden product requirements and interface decisions. What we are looking for 3+ years of computer vision experience with a proven track record of building production-grade deployments using traditional CV and deep learning techniques. 1+ years of experience with deep learning techniques for image/video data with sound understanding of the concepts, toolsets, and state-of-the-art practices. Strong Programming experience with Python for ML, with knowledge of software development practices towards contributing to a production-quality code base. Hands-on experience with PyTorch, TensorFlow, or equivalent deep learning frameworks. Bachelors in Computer Science, Data Science, Statistics, or Mathematics Good to have Masters degree or Phd in Computer Science, Data Science, Statistics, or Mathematics. Experience publishing academic papers and/or implementing prototypes based on ongoing research ideas. Experience with performance improvement of ML models.

Overview AI Engineer \u2013 BFSI Domain Responsibilities Design and implement AI-driven solutions for personalized financial services, customer experience, and document processing (e.g., KYC, claims). Deploy NLP and computer vision models for chatbots, document extraction, sentiment analysis, etc. Work with architects and product teams to productionize AI solutions with scalability and security in mind. Integrate models with BFSI applications ensuring compliance, latency, and auditability. Monitor model performance post-deployment and retrain as needed. Qualifications 3\u20135 years in AI/ML product development. Minimum 2 years experience building production-grade AI solutions in BFSI. Experience with AI Governance and model explainability (e.g., SHAP, LIME) preferred. or customer analytics is a plus. Essential skills Tech Stack Languages: Python Frameworks: TensorFlow, PyTorch, ONNX Tools: Docker, Kubernetes, MLflow APIs: RESTful APIs, FastAPI, Flask NLP: spaCy, Hugging Face Transformers, NLTK DevOps: Jenkins, Azure DevOps, GitHub Actions Cloud: GCP Vertex AI Experience 3\u20135 years in AI/ML product development.

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content

AI/Python Engineer Looking for a world of opportunities and a fulfilling career? We are seeking an AI and Python Engineers who can work with our team to help us develop and implement AI Products and Solutions for our clients. The ideal candidate will have a solid understanding of AI and Python and be able to apply this knowledge to solve complex business problems. Work youll do Develop and implement AI models (Computer Vision, LLM-Large language model and RAG) and Python tech stack (Fast API, Django, Flask etc) Working with SQL and vector databases like Weaviate, Qdrant, pgvector, postgres, etc Evaluate the performance of AI models and make necessary adjustments. Communicate complex technical concepts to non-technical stakeholders. Stay up to date with the latest AI and Python technologies and techniques. Provide guidance and mentorship to junior team members. Qualifications and Experience Minimum Qualification: 5+ years of experience in AI and related services. Hands on Python development experience. Good knowledge on Data Structures and algorithms. . Bachelor's or Master's degree in Computer Science, Data Science, or a related field Preferred Qualification: Applied AI experience (Solution Implementation exp is a MUST)

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : BEBTECHMTECH Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Microsoft Azure OpenAI Service. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities:A.Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU, Microsoft Bot Framework,Microsoft Power Virtual Agents-Microsoft Copilot Studio and Azure PaaS.B.Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met.C.Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards.D.Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.E.Stay updated with the latest advancements in Azure components, Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search and Azure Language Services-CLU integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: A.Must Have Skills: Strong architectural experience with Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU and Azure PaaS.B.Must Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings, vectorization and semantic, vector based indexing and search.C.Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents,Microsoft Copilot Studio. Should know how multiple components integrate with each other in an enterprise application.D.Must Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python or C hash programming language, using Visual Studio Code IDE and Azure AI Studio.E.Good To Have Skills: Knowledge of other vector databases, Knowledge Graphs, LangChain, Semantic Kernel.F.Good To Have Skills: Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.G.Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence, Custom QnA, Speech Services and Prompt Engineering.H.Experience with database technologies such as SQL Server, Cosmos DB and Oracle.I.Solid grasp of software testing and quality assurance principles.J.Knowledge of DevOps practices. Additional Information:- The candidate should have a minimum of 12 years of experience in software development.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions.- This position is based at our Bengaluru office. Qualification BEBTECHMTECH

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- CMT Software & Platforms Title :- Level 9 - Ind & Func AI Decision Science Consultant Job location :- Hyderabad/Bangalore About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About the Software & Platforms Team :- The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Qualification What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities. Who are we looking for Bachelors or masters degree in computer science, engineering, data science, or a related field. Experience working for large Software or Platform organizations. Proven experience (5+ years) in working on AI projects and delivering successful outcomes. Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc. Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc. Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL Experience in training large language models and fine-tuning for specific applications or domains. Understanding of linguistic concepts, encompassing syntax, semantics, and pragmatics, to enhance language modeling. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing and deploying models & exposure of CI/CD pipelines for automated testing and deployment of language models. Excellent analytical and problem-solving skills, with a data-driven mindset. Strong project management abilities, including planning, resource management, and risk assessment. Proficient in Excel, MS word, PowerPoint, etc. Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Title - S&C Global Network - AI - Hi Tech - Data Science Senior Analyst Management Level: 10-Senior Analyst Location: Bengaluru Must-have skills: Prompt Engineering Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. You will be leading design and delivery on client projects. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 5 to 8 Years Educational Qualification: Minimum 15 Years of Education

Job Summary :A professional at this position level within Accenture is expected to bring supply chain industry knowledge along with some level of working knowledge in M/A/G cloud The individual should have exposure to Supply Chain consulting/transformation projects in at least one of the following domains (Planning:forecasting, demand planning/sensing, supply planning, integrated business planning, and S&OP Sourcing & Procurement:supplier B2B, eProcurement, and supplier catalogs; Supply Chain Strategy:network design, sustainability, and control towers; Fulfillment:Inventory management inventory strategy, segmentation, and omni-channel) The individual should have demonstrated problem solving skills to be able to: Understand business requirements, dig into the details, ask right questions, and communicate business problems and outcomes effectively. This individual will be a self-starter who enjoys strategic problem-solving and guiding client requirements, critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details. Work with consultants to define the solution and implementation approach. Good storytelling capability to create impactful pitch decks. Drive execution of internal processes to ensure smooth day to day functioning of the CoE. The individual should have a proven project delivery track record and be able to: Draft proposals, set up objectives and help in drawing an action plan for prospective clients. Apply nonfunctional requirements and technical knowledge in the MAG Cloud domain to drive design of a robust solution. The individual must possess experience in performing: Qualitative and quantitative process assessments to enable a clear lens on enterprise process performance and gaps. Numerical analysis visualization using MS Office tools. Strategic analysis on key capability areas to focus on against market trends and developmentQualification Roles & Responsibilities: 2+ years as business analyst in consulting or startups preferably in supply chain domain Proficient in supply chain components and methodologies. Experience in supply chain solutioning Familiarity with common ERP, TMS, WMS, supply chain planning tools etc. Familiarity with Microsoft, AWS and Google cloud platforms. Demonstrated presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. High level of comfort communicating effectively across internal and external organizations Demonstrated written communication skills Problem-solving skills to identify, escalate, track and resolve issues in time. Strong project management skills and ability to run projects on his own. Effective presentation and public speaking skills. Ability to work in a rapidly changing environment where continuous innovation is desired. Ability to effectively team with others in a large, global organization Analytical skills to bring clarity to complex issues and gather data-driven insights. Excellent communication and interpersonal skills. Cross cultural competence with an ability to thrive in a dynamic environment. Willingness to learn new technologies and apply the learnings on job. Hands on experience of various use case scenarios and challenges in supply chain. Positive attitude and a strong commitment to delivering quality work. Professional & Technical Skills: Familiarity with common ERP, TMS, WMS, supply chain planning tools etc. Familiarity with Microsoft, AWS and Google cloud platforms

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

We are seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position Python/ML developer Tech Lead Experience 5 + years No of positions 1 CTC Location Chennai, India Key Skills& Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: Proficiency in Python programming language. Minimum 4+ years of hands-on experience in python and ML Strong background in machine learning algorithms and frameworks. Understand the requirements and objectives of the assigned projects Recommend appropriate approaches and technologies to deploy to achieve the objectives Iterate the development process to improve effectiveness of the models Implement parallel processing and other techniques to enhance processing speed Deep understanding of data extraction with Computer Vision and Deep learning libraries Excellent problem solving and analytical skills Ability to understand project requirements and objectives, and translate them into actionable development tasks Effective communication with stakeholders to provide technical insights and project updates Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with natural language processing (NLP) techniques. Previous work on computer vision projects Demonstrated experience and success in computer vision and text extraction projects

Job Description Bachelors or master s degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

Senior Data Scientist Do you like working in collaborative teams and solving technical problems Are you a Senior Data Scientist looking for a new challenge Join our innovative Engineering Team! Our Industrial and Energy Technology (IET) operates across 120 countries, serving the entire energy value chain and the industrial sector. We hold an extensive portfolio of rotating equipment, process flow, transmission technology and lifecycle services. Our Engineering Transformation team works to improve the quality of our Engineering processes. Partner with the best As a Senior Data Scientist, you will collaborate within a data science or cross-functional team alongside partners at Baker Hughes. Key focus areas include Automatic Defect Recognition (ADR) and Remote Monitoring & Diagnostics (RM&D) in Non-Destructive Testing (NDT) industrial sectors. You will lead customer engagements and develop analytics aligned with business objectives to address specific needs and opportunities. As a Senior Data Scientist, you will be responsible for: Engaging with stakeholders to define analytical goals. Designing and implementing ML/computer vision models for industrial use cases. Developing reusable components for scalable solutions. Building defect detection models for visual, ultrasound, and CT/X-ray images. Using TensorFlow/PyTorch for image classification, detection, and segmentation. Applying transfer learning to enhance model performance. Building and deploying ML pipelines using Flask, FastAPI, Streamlit, Docker, etc. Using time series and predictive maintenance to forecast equipment failures. Deploying solutions on edge or cloud platforms. Documenting results in technical and validation reports. Fuel your passion To be successful in this role, you will: Have a Bachelors, Master s, or PhD in Computer Science or a STEM field, with 3+ years of experience in developing computer vision solutions for industrial applications. Have at least 4 years of hands-on experience with machine learning and computer vision algorithms for tasks such as object detection, recognition, tracking, and segmentation. Have proficiency in deep learning and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, and OpenCV. Have good knowledge of Convolutional Networks and Deep Learning algorithms Have solid programming skills with Python and/or non-scripting languages Have experience in data cleansing, data quality assessment, and applying analytics on industrial datasets Have practical knowledge of time series analysis and predictive maintenance for forecasting equipment health and optimising maintenance. Have good communication skills to collaborate with stakeholders and explain technical concepts to non-technical audiences. Have experience with Docker containers & cloud deployment is a plus Have prior exposure to NDT inspection data (e.g., CT/X-ray images) is a plus. Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionised energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritise rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

Senior Data Scientist Do you like working in collaborative teams and solving technical problems Are you a Senior Data Scientist looking for a new challenge Join our innovative Engineering Team! Our Industrial and Energy Technology (IET) operates across 120 countries, serving the entire energy value chain and the industrial sector. We hold an extensive portfolio of rotating equipment, process flow, transmission technology and lifecycle services. Our Engineering Transformation team works to improve the quality of our Engineering processes. Partner with the best As a Senior Data Scientist, you will collaborate within a data science or cross-functional team alongside partners at Baker Hughes. Key focus areas include Automatic Defect Recognition (ADR) and Remote Monitoring & Diagnostics (RM&D) in Non-Destructive Testing (NDT) industrial sectors. You will lead customer engagements and develop analytics aligned with business objectives to address specific needs and opportunities. As a Senior Data Scientist, you will be responsible for: Engaging with stakeholders to define analytical goals. Designing and implementing ML/computer vision models for industrial use cases. Developing reusable components for scalable solutions. Building defect detection models for visual, ultrasound, and CT/X-ray images. Using TensorFlow/PyTorch for image classification, detection, and segmentation. Applying transfer learning to enhance model performance. Building and deploying ML pipelines using Flask, FastAPI, Streamlit, Docker, etc. Using time series and predictive maintenance to forecast equipment failures. Deploying solutions on edge or cloud platforms. Documenting results in technical and validation reports. Fuel your passion To be successful in this role, you will: Have a Bachelors, Master s, or PhD in Computer Science or a STEM field, with 3+ years of experience in developing computer vision solutions for industrial applications. Have at least 4 years of hands-on experience with machine learning and computer vision algorithms for tasks such as object detection, recognition, tracking, and segmentation. Have proficiency in deep learning and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, and OpenCV. Have good knowledge of Convolutional Networks and Deep Learning algorithms Have solid programming skills with Python and/or non-scripting languages Have experience in data cleansing, data quality assessment, and applying analytics on industrial datasets Have practical knowledge of time series analysis and predictive maintenance for forecasting equipment health and optimising maintenance. Have good communication skills to collaborate with stakeholders and explain technical concepts to non-technical audiences. Have experience with Docker containers & cloud deployment is a plus Have prior exposure to NDT inspection data (e.g., CT/X-ray images) is a plus. Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionised energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritise rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

Technical Team Lead (Python and AI/ML) SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for Designation : Technical Team Lead (Python and AI/ML) Experience Range : 5+ years What skills and experience are we looking for Bachelors/Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in software development with strong expertise in Python. 3+ years of experience in machine learning, deep learning, or AI-based applications. Proficient in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV etc. Hands-on experience with data preprocessing, model training, validation, and deployment. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong understanding of REST APIs and backend development. Experience with cloud platforms like AWS, Azure, or GCP. Excellent problem-solving, communication, and leadership skills. Experience working in Agile/Scrum teams. Knowledge of data engineering tools (e.g., Spark, Kafka, Snowflake). Publications, open-source contributions, or Kaggle competition experience. Exposure to NLP, computer vision, or generative AI models is a plus. What is the work Lead and mentor a team of Python and AI/ML engineers. Design, develop, and deploy scalable machine learning models and end-to-end solutions. Collaborate with product managers, data scientists, and other stakeholders to define project goals and technical specifications. Translate business requirements into technical specifications and implementation plans. Architect backend systems using Python frameworks (e.g., FastAPI, Django, Flask). Review code, ensure best practices, and perform unit and integration testing. Monitor and improve model performance, reliability, and scalability in production. Ensure adherence to project timelines and deliverables. Stay current with emerging technologies and integrate them into existing systems as appropriate. Foster a culture of innovation, collaboration, and continuous improvement.

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building Beam AI , an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures." Position Description: As a Research Engineer-II, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents. In this role, you will support the end-to-end lifecycle of AI-based solutions from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products. Roles & Responsibilities Contribute to research and development initiatives focused on Computer Vision, Image Processing , and Deep Learning applied to construction-related data. Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files . Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs). Follow best data science and machine learning practices , including data-centric development, experiment tracking, model validation, and reproducibility. Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications. Write clean, scalable, and production-ready code using Python and frameworks like PyTorch , TensorFlow , or HuggingFace . Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges. Skills & Requirements 3-5 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning . Solid understanding of image processing , visual document understanding, and feature extraction from visual data. Familiarity with SVG graphics , NLP , or LLM-based architectures is a plus. Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction , and representation learning. Proficiency in Python and ML frameworks such as PyTorch , OpenCV , TensorFlow , and HuggingFace Transformers . Hands-on experience with model optimization techniques (e.g., quantization , pruning , knowledge distillation ). - Good to have Experience with version control systems (e.g., Git ), project tracking tools (e.g., JIRA ), and cloud environments ( GCP , AWS , or Azure ). Familiarity with Docker , Kubernetes , and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills. Why Work With Us Be part of a visionary team building a first-of-its-kind AI solution for the construction industry . Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. Culture that encourages ownership, innovation, and growth. Opportunities for fast learning, mentorship, and career progression.

Hello there! Infrrd here. Haven t heard of us beforeNo problem. First off, it s pronounced In-fur-d. The Enterprise AI company that uses AI and Machine Learning technologies to help our customers automate human tasks. And Intelligent Document Processing (IDP) company helping enterprises extract, understand, and act on data locked in complex documents. Our solutions empower some of the world s leading organizations in mortgage, insurance, construction, and manufacturing to automate what once seemed impossible. And now, we are on the lookout for a great Engineering Manager . What you will do: Plan and manage multiple parallel software development Supervise all software development activities like Requirements Gathering and Analysis, Design, Development, Testing and Roll Drive effective teamwork, communication and collaboration across cross functional Customer interaction, Stakeholder communication, Status reporting and issue/risk Performance management and mentoring for team What makes you good you ask Strong Technical Foundation: 10-14 years of overall experience with 4-5 years of software development experience preferably in Java and 3+ years in leading or managing complex software development projects in Java. Experience in mortgage or insurance domain projects is a plus. Manage Complex Technical Projects: Employ Agile methodologies to efficiently manage multiple projects, prioritize tasks, and mitigate risks. Experience in client onboarding is a plus. Passion for AI: A genuine interest in the potential of AI to revolutionize industries and improve lives. Future-Proofing Skills: A willingness to learn and adapt to rapidly evolving AI technologies. Stay Updated on AI Trends: Continuously research and adopt emerging AI technologies like generative AI, reinforcement learning, and computer vision. Prior experience in a product-centric or SaaS environment is a plus. And along with that, someone who is curious to learn, drives the whole team to perform better and is a cool person to work with. Looking forward to speaking with you!

We are seeking an experienced and highly skilled Technical Lead with a strong background in Python and Computer Vision to lead and drive innovative projects. The ideal candidate will be responsible for leading a team of engineers, designing scalable solutions, and implementing cutting-edge computer vision technologies to solve real-world problems. Key Responsibilities Design and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and more. Build scalable and efficient systems for processing image and video data in real-time or batch mode. Develop and integrate tools for data preprocessing, annotation, and visualization. Leverage frameworks such as OpenCV, PyTorch, TensorFlow, or similar for development. Review code, ensure best practices, and resolve technical challenges within the team. Design scalable, distributed systems to handle high-throughput image and video data. Build and integrate APIs to serve computer vision models for various applications. Work closely with data engineers to design ETL pipelines for computer vision datasets. Ensure data governance, quality, and compliance with standards. Required Skills and Qualifications Educational Background : Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. Technical Expertise : Strong programming skills in Python, with a focus on OOP and modular development. Proficiency in computer vision frameworks (OpenCV, TensorFlow, PyTorch, etc.). Hands-on experience with machine learning algorithms and deep learning models (e.g., CNNs, RNNs, Transformers). Experience with video and image processing techniques such as feature extraction, filtering, and transformation. Knowledge of tools like YOLO, SSD, Mask R-CNN, or equivalent object detection frameworks.

We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Primary Skills : Python Data Science concepts Generative AI Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision Predictive Analytics Time Series Analysis Anomaly Detection Recommendation Systems SQL Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP)