1594 Computer Vision Jobs - Page 15

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

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science, SQL, wcf Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Data Scientist with 5 to 7 years of experience, and at least 3+ years of genuine experience in building production-grade ML models (Regression, Forecasting, Classification etc.) and getting them deployed in production rather than just proof of concept or learning projects. Roles & Responsibilities:- At least 3+ years of relevant experience in data science, specifically in building and deploying production models (Regression, Forecasting, Classification etc.)) rather than just proof of concept or learning projects - Experience in building or training machine learning models to a production environment that are actively used by end-users or systems - Experience in maintaining or monitoring machine learning models in production for more than six months - Experience in working on projects where they had to retrain or redeploy models based on new data in a production setting - Experience in using version control systems (e.g., Git) for managing your data science projects in production - Experience in collaborating with DevOps or MLOps teams to deploy and scale machine learning models in production- Strong programming skills, particularly in Python - Experience in written Python codes (Data Science) that is currently running in a production environment - Experience in using Python for data manipulation, analysis and feature engineering in a production setting - Experience in working on end-to-end Data Science pipelines - Experience in creating environments for different libraries in production for different versions - Experience in optimizing Python code for performance in a production system- Ability to work in Agile environment and using tools like Git, Jira, Confluence etc- Experience of working in Azure ML Professional & Technical Skills: - Must To Have Skills: Data Science, Azure ML, Python Additional Information:- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Job Summary The Senior Scientist Responsible AI & Research Integration is a hybrid role embedded across the Responsible AI Office and the AI Research Lab. This role is focused on advancing the frontiers of Responsible AI and AI safety while ensuring that research outcomes directly inform the companys products platforms and internal practices. This role is approximately 60% focused on research pursuing foundational and applied investigations into agentic safety oversight mechanisms system interoperabi Responsibilities Lead and contribute to applied research efforts in Responsible AI including topics such as model alignment transparency behavioral safety agentic behavior and oversight mechanisms for autonomous or multi-agent systems Collaborate with the AI Research Lab and Responsible AI Office to define meaningful research agendas that support both long-term inquiry and practical application Translate research findings into components evaluation methods or controls that can be incorporated into product features platform architecture or internal governance frameworks Participate in the design and validation of tools that address emerging safety risks and implementation gaps in AI development and deployment Product Strategy & Market Intelligence (25%) Develop product roadmap specifications by translating emerging research and market needs into concrete technical requirements Conduct technical due diligence and evaluation of early-stage startups in the AI safety governance and trust space Assess commercial viability and enterprise adoption potential of safety and governance solutions Monitor competitive landscape and identify market gaps in responsible AI tooling Act as a key connector between research and engineering teams working closely with product leads and framework architects to ensure feasibility and alignment between scientific exploration and development priorities Ecosystem Development & Partnerships (15%) Build and manage collaborative relationships with academic labs research consortia and external fellows identifying opportunities for co-authored research joint development of tools or benchmarks and knowledge exchange Establish and maintain relationships with leading AI safety research groups globally (Stanford HAI UC Berkeley CHAI MIT CSAIL Oxford etc.) Scout and evaluate emerging companies developing solutions for AI oversight interpretability alignment and governance Build relationships with AI safety startups and scale-ups to identify partnership investment or acquisition opportunities Participate in venture capital networks and startup accelerators focused on AI safety technologies External Representation & Thought Leadership Coordinate and contribute to external working groups focused on advancing standards best practices or evaluation methodologies for Responsible AI and safety-aligned systems Represent the company in research summits public forums and academic communities to share work shape dialogue and help position the organization as a trusted leader in the development of responsible high-performing AI systems Contribute to internal education and knowledge dissemination efforts by sharing research findings facilitating workshops and advising teams on complex or emergent risks in AI systems Required Qualifications This role requires a strong background in AI/ML research with a focus on safety Responsible AI Trust agentic research and related technical domains. Candidates should have experience contributing to original research working across interdisciplinary teams engaging external research ecosystems and been involved in product launches. Technical Requirements PhD in Computer Science Artificial Intelligence Cognitive Systems or a related discipline Strong publication record or equivalent contributions in AI safety agent alignment multi-agent systems fairness interpretability or risk-aware AI Proven ability to translate research into production-ready tools software components or product capabilities Hands-on experience conducting applied research and collaborating with engineering or product teams Familiarity with foundational model architectures ML evaluation pipelines and lifecycle governance frameworks Experience with agentic AI systems multi-agent coordination and autonomous system oversight Knowledge of AI governance frameworks regulatory landscapes (EU AI Act emerging US standards) and compliance requirements Understanding of cybersecurity implications for AI systems especially autonomous agents Proven track record of evaluating early-stage AI companies and technologies Experience building strategic partnerships across academia industry and policy organizations Understanding of venture capital and startup ecosystem dynamics in AI safety space Network within the responsible AI research and startup communities Familiarity with enterprise AI risk management and safety infrastructure needs Strategic & Communication Skills Comfort working across academic policy and industry environments and engaging with technical audiences at all levels Ability to synthesize insights from academic research startup innovation and enterprise needs into coherent product strategies Experience creating technical roadmaps that balance cutting-edge research with practical implementation Proven ability to represent organizations in high-stakes technical and policy discussions Skills in scenario planning for rapidly evolving AI governance landscape

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. Prior experience in leading teams that develop data science/GenAI solutions will be preferred. 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 | Accentur Qualification Experience: 5 to 8 Years Educational Qualification: Minimum 15 Years of Education

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:Minimum 4 Years Educational Qualification:Minimum 15 Years of Education

Job Title: Data Scientist Lead (Technical Lead) Experience: 7+ years Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customer’s requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

Job Responsibilities: Develop and integrate Generative AI models into applications using APIs and open-source frameworks. Design, build, and optimize AI-driven data applications (Full Stack). Build AI-powered applications using LangChain, OpenAI APIs, or RAG-based architectures. Work on building AI agents and applications. Requirements xperience with Generative AI (LLMs), application building using LLMs, Python, Streamlit, and React. Strong problem-solving skills and ability to work with open-source frameworks. Knowledge of AI model fine-tuning, NLP, computer vision, or multimodal AI applications. Familiarity with RESTful APIs, cloud computing (AWS, GCP, Azure), and databases. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, RAG, Graph RAG, etc. Experience working with datasets and data preprocessing techniques. Benefits Working at Modern First and foremost, our value system is sacred to us HEAT: Humility, Empathy, Accountability and Transparency. Beyond this, we are fond of individuals who are curious, love solving problems and can see the larger picture. We love to take a leap of faith on potential. If you believe you havent had the chance to do your lifebest work, Modern is the place for you. Modern embraces competition for great talent. We have been able to get great talent onboard owing to the attractive compensation and benefits we provide, in addition to the upside we share with all our employees in the form of ESOPs. Moreover, our ESOP policies are highly employee-friendly replicating ethos of some of the best Silicon Valley tech startups. We are committed to making sure our employees create significant value for themselves.

Opening with one of the leading automation solution provider in Mumbai. Job Title: Business Account Manager Job Location Malad, Mumbai Position Overview We are seeking a proactive and results-oriented Business Account Manager to manage our existing BFSI customers. The primary responsibilities include handling renewals, cross-selling, and up-selling our products and services across DigiVision, DigiDrive, and SecureNexus verticals. The ideal candidate will have a strong background in Account Management within the BFSI sector and a proven track record of maintaining and growing customer relationships. Key Responsibilities: Manage and nurture relationships with existing BFSI clients to ensure customer satisfaction and loyalty. Handle renewals of our products and services to existing clients. Achieve or exceed quarterly and annual cross-sales and up-sales targets. Develop and implement strategies to achieve sales targets and increase revenue from existing accounts. Identify opportunities for upselling and cross selling our solutions to meet client needs and enhance their experience. Work closely with the sales and technical teams to deliver customized solutions and ensure client success. Conduct regular meetings, reviews, and presentations with clients to maintain strong relationships and address any issues or concerns. Also provide insights and feedback from clients to help improve products and services Conduct independent product demonstrations, presentations, and consultations. Collaborate with internal teams to ensure the successful delivery of solutions and services. Monitor and report on account performance and key metrics to management. Stay updated on industry trends and competitive landscape to identify opportunities for growth. Lead proof of concepts to showcase the capabilities of our solutions to clients. Participate in industry events, conferences, and trade shows to promote our solutions and generate leads. Manage the entire sales process from lead generation to closing deals, including techno-commercial proposal preparation, negotiation, and contract management. Provide regular sales forecasts and reports to management, highlighting key metrics, pipeline status, and opportunities for improvement. Technical Skills & Competencies: In-depth knowledge of AI, computer vision, and cybersecurity frameworks and standards. Proficiency in using CRM software and sales tools (e.g., Salesforce, HubSpot, Zoho). Proficiency in using Microsoft Office tools – MS Excel, PowerPoint, Word.

You will develop, optimize, and deploy state-of-the-art generative models for diverse applications, including text generation, image synthesis, and audio processing This role requires expertise in computer vision, machine learning, deep learning, and MLOps, with hands-on experience in GANs, VAEs, Transformers, and Diffusion Models You will actively contribute to building AI tools for CGI animation and VFX pipelines, enabling scalable, creative, and efficient workflows across departments including Asset Development, Rigging, Animation, Layout, Lighting, FX, Compositing, Editorial, and Rendering Design, develop, train, and optimize generative models (GANs, VAEs, Diffusion Models, Transformer Models) across text, image, audio, and video domains: 3D Reconstruction Human Pose Estimation Multimodal Learning Speech-Driven Animation Python and C++ for AI and pipeline integration

IT Education Centre is looking for Data Science Trainer to join our dynamic team and embark on a rewarding career journey Curriculum Development: Designing and creating training programs or courses covering a wide range of data science concepts and tools, tailored for different skill levels, from beginners to advanced learners Instruction and Delivery: Conducting training sessions, workshops, or classes to teach data science methodologies, tools, and best practices This involves explaining complex concepts in an understandable manner and using practical examples and exercises Material Creation: Developing educational materials, including presentations, slides, handouts, coding exercises, and datasets, to support the learning process Hands-on Practice: Providing opportunities for students to apply theoretical concepts through hands-on projects or real-world case studies, enabling them to gain practical experience Mentoring and Support: Offering guidance, feedback, and support to students or trainees throughout their learning journey, helping them overcome challenges and advance their skills Staying Updated: Keeping abreast of the latest trends, tools, and techniques in data science and integrating new developments into training materials and curriculum Assessment and Evaluation: Assessing the progress of trainees through assignments, tests, or projects, and providing constructive feedback to help them improve Engagement and Collaboration: Collaborating with other trainers, educators, or professionals in the field to exchange knowledge, share resources, and enhance training methodologies

Early part of a World Class product doing unimaginable engineering magic Design, implement and train state-of-the-art deep learning and Generative AI models for visual content. Research and evaluate the performance of the latest deep learning architecture to solve challenging real problems. Design innovative AI based Image rendering pipelines for pre-processing and post-processing images About you Solid code-writing skills in Python Experience working with generative models APIs including Dalle, Stable Diffusion, GPT3 Have experience with working on atleast one of the following deep learning models: Transformers, GANs, Diffusion based models. Solid experience working with image libraries like OpenCV and/or PIL Some experience fine-tuning and training AI models on Cloud for different use-cases Bonus points Experience Deploying and Inferencing AI models using cloud Experience with real and synthetic large-scale data curation for real problems A track record of publications and contributions to the machine learning and computer vision communities If you dont have some of above, but still feel youre exceptional, you can still reach out

Lead and oversee AI research and development activities at Unstudio, with a specific focus on training and deploying deep learning and generative AI models for visual content Responsible for deployment and scalability of AI models on the cloud services like AWS/GCP AI is moving very fast. Stay up-to-date with the latest advancements in deep learning and AI research Collaborate closely with cross-functional teams, including product, engineering, and design, to integrate AI capabilities seamlessly into our suite of products. Provide technical leadership and guidance in AI-related decision-making processes. About you Solid background (3 + years) in AI research and development, with specific focus on training and optimising generative AI and deep learning models Strong in Python and relevant frameworks such as TensorFlow or PyTorch. Previous demonstrable experience fine tuning /training LLMs Diffusion based models Proven expertise in deploying AI models on the cloud like GCP/AWS/Azure, ensuring scalability and performance. Experience working with image and video data and relevant libraries PIL, OpenCV, FFMPEG etc. Passionate about pushing the boundaries of AI and its application in design, with a deep understanding of the intersection between technology and creativity.

AI / Machine Learning / Data Science part time Work from Home (Any where in world) Warm Greetings from Excel Online Classes, We are a team of industry professionals running an institute that provides comprehensive online IT training, technical support, and development services. We are currently seeking AI / Machine Learning / Data Science Experts who are passionate about technology and can collaborate with us in their free time. If you're enthusiastic, committed, and ready to share your expertise, we would love to work with you! Were hiring for the following services: Online Training Online Development Online Technical Support Conducting Online Interviews Corporate Training Proof of Concept (POC) Projects Research & Development (R&D) We are looking for immediate joiners who can contribute in any of the above areas. If you're interested, please fill out the form using the link below: https://docs.google.com/forms/d/e/1FAIpQLSdvut0tujgMbBIQSc6M7qldtcjv8oL1ob5lBc2AlJNRAgD3Cw/viewform We also welcome referrals! If you know someone—friends, colleagues, or connections—who might be interested in: Teaching, developing, or providing tech support online Sharing domain knowledge (e.g., Banking, Insurance, etc.) Teaching foreign languages (e.g., Spanish, German, etc.) Learning or brushing up on technologies to clear interviews quickly Upskilling in new tools or frameworks for career growth Please feel free to forward this opportunity to them. For any queries, feel free to contact us at: excel.onlineclasses@gmail.com Thank you & Best Regards, Team Excel Online Classes excel.onlineclasses@gmail.com

Responsibilities: Design, develop & test CV software using OpenCV & image processing techniques Optimize performance through pattern recognition algorithms Collaborate with cross-functional teams on project delivery

Best Enterprises , a leader in packaging automation and industrial vision systems, is expanding its R&D team. We are looking for a Computer Vision Engineer with strong programming skills and a passion for applying AI/ML in visual inspection and defect detection . Freshers with strong programming skills and a passion for computer vision are welcome to apply. Programming Work Develop image processing applications using C++ and OpenCV . Apply AI/ML/Deep Learning models to detect complex defects and classification tasks. Build real-time and low-cost industrial applications using compact embedded vision systems. System Integration Work Select and procure cameras, lenses, lights, computers, embedded PCs . Source bowl feeders, linear conveyors , and material handling systems. Collaborate with mechanical engineers to finalize camera and light positioning . Interface vision systems with PLCs, encoders, and industrial sensors . Required Skills Proficient in OpenCV and image processing techniques. Strong coding skills in C++ (or C# ). 2 years of hands on experience in Computer vision Preferred Skills In-depth understanding of AI / ML / Deep Learning for vision tasks. Hands-on with integrating AI models into real-time industrial vision applications. Experience with TensorFlow or PyTorch or YOLO or ONNX is a plus. Familiarity with NVIDIA Jetson or Raspberry Pi or Coral TPU based deployments. Interview Process The selection process includes a phone interview followed by an in-person assessment of programming skills

Work with the AI team to develop and improve AI-powered educational tools Develop and train AI models using various machine-learning techniques Test and evaluate the performance of AI models Integrate AI technology into our products Required Candidate profile Understanding of machine learning algorithms Proficient in Python and related libraries such as NumPy, Pandas TensorFlow or PyTorch Natural language processing (NLP) and computer vision (CV)

About Ericsson Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. Key Responsibilities Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, or a related field. A Masters degree or PhD is preferred. 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Primary country and city: India (IN) || Noida Req ID: 768225

Join our Team About Ericsson Key Responsibilities Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, or a related field. A Masters degree or PhD is preferred. 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Noida Req ID: 768225

We are seeking a Data Scientist / ML Engineer with comprehensive knowledge in AI/ML , strong coding prowess, and an intrinsic passion for R&D . You will be responsible for designing, developing, and deploying machine learning solutions, while also driving innovation through research and experimentation. If you thrive on tackling complex challenges, continuously learning new techniques, and pushing boundaries in AI, this role is for you. End-to-End Model Development Design and implement ML pipelines from data collection and preprocessing to training, validation, and deployment. Select the right models (classical ML or deep learning) and optimize them for performance and scalability. Advanced Coding & Software Engineering Write clean, efficient, and maintainable code in Python (or relevant languages like R, Scala, C++). Utilize ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and adhere to software engineering best practices (version control, CI/CD). Research & Innovation Stay updated with the latest AI/ML research, frameworks, and tools; propose and test new ideas or methodologies. Conduct experiments, benchmark against industry standards, and publish or present findings as needed. Data Exploration & Feature Engineering Analyze large datasets for insights; engineer relevant features and conduct appropriate transformations. Collaborate with data engineering teams to ensure data pipelines are robust and scalable. Collaboration & Mentorship Work cross-functionally with product managers, software engineers, and domain experts to integrate ML solutions into products. Share knowledge, review code, and assist junior team members in their growth and development. Deployment & Monitoring Implement MLOps best practices, including containerization (Docker), orchestration (Kubernetes), and cloud services (AWS, Azure, GCP). Monitor model performance in production; iterate and refine models to adapt to evolving data and requirements. Problem-Solving & Performance Optimization Tackle complex data challenges, optimize algorithms for latency and throughput, and ensure reliable system performance at scale. Identify and address data quality issues, model drift, and other factors affecting solution success. Required Qualifications Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field. Advanced degrees are a plus. Proven track record (2+ years) in developing and deploying AI/ML solutions. (Adjust experience level as needed.) Technical Expertise Comprehensive AI/ML Knowledge : Classical ML (regression, classification, clustering, etc.) and deep learning (CNNs, RNNs, Transformers). Strong Coding Skills : Fluency in Python; familiarity with other programming languages is a bonus. R&D Mindset : Hands-on experience with research methodologies, ability to quickly prototype and evaluate new ideas. Frameworks & Tools : Proficiency in ML/DL libraries (TensorFlow, PyTorch, scikit-learn), data platforms (Spark, Hadoop) is beneficial. Cloud & Deployment : Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). Soft Skills Excellent problem-solving ability and a hunger for tackling complex, ambiguous challenges. Strong communication skills, capable of articulating technical concepts to a diverse audience. Self-motivated with a drive to continuously learn and adopt new AI technologies. Preferred/Bonus Skills Experience with NLP , computer vision , or recommendation systems . Exposure to MLOps tools and platforms for end-to-end model lifecycle management. Contributions to open-source AI/ML projects or research publications. Background in mathematics or statistics for rigorous model validation.

AI/ML Engineer 03 Job Opening 4 to 5 Years Exp About This Role Design and implement machine learning models and AI solutions, optimize algorithms, and integrate intelligent systems into applications. Work on data processing, model training, and deployment to solve real-world challenges using advanced technologies. Desired Skill: Experience: Minimum 4 to 5 years of experience Job Specification: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Develop and maintain scalable and efficient AI/ML infrastructure. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. Stay up-to-date with the latest trends and developments in the field of AI/ML. Additional Roles and Competencies: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 3-4 years of hands-on experience in AI/ML development. Strong programming skills in Python. Expertise in machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning). Experience with Chatbot applications. Experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with cloud platforms (e.g., AWS, GCP, Azure). Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Passion for AI/ML and a desire to make a significant impact. Preferred Skills: Experience with natural language processing (NLP) or computer vision. Knowledge of big data technologies (e.g., Hadoop, Spark). Experience with MLOps and DevOps practices. Publications or contributions to open-source AI/ML projects. Qualifications BCA, MCA, BE-IT, BSC-IT(AI/ML), MSC-IT(AI/ML), B.SC-Computers, M.SC-Computer, B.Tech-Computer, M.Tech-Computer, BSC-Mathematics, MSC-Mathematics.

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Select with space bar to view the full contents of the job information. Senior Manager- Image AI Research Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Manager- Image AI Research Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. This is an opportunity to play a key role in Dolbys new R&D Center in Bangalore as a Senior Research Manager in our Advanced Technology Group " ATG ", the research and technology arm of Dolby Labs. With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research. What you ll do As a Senior Manager within Dolby ATG research, you focus on three key areas of responsibility: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI driven image and video analysis, enhancement, and processing technologies. Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of image technologies driving Dolby s cloud and licensing business. With a solid understanding of both traditional image processing and newer AI technologies, you will not only perform research using signal processing based only solutions, but you will also work at the intersection of classical image processing and new AI algorithms. You will apply these insights to the research of image delivery, analysis, and content creation technologies. Managing, nurturing, and grooming top research talent: As a senior leader, you will manage and mentor a small group of researchers working in image processing, computer graphics, computer science, and content enhancement. You will work with your team as a coach and mentor. You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment. Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere. Technology strategy and direction setting: Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolby s cloud and licensing business. You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads. Work jointly with upper management, lead resource and work allocation. You will also work with Dolby s Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide. Education and desired experience Ph.D. plus 5-10 years of corporate research experience with a degree in Physics, Electrical Engineering, Mathematics, Computer Science. Very deep understanding and strong record of research in Computer Vision, image analysis, enhancement, compression, and processing technologies . You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies. You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Knowledge of NLP and/or multi-modal architectures is highly desired. You have a good understanding of: Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Knowledge of Game environments, graphical processing, consumer products, SoC architectures, embedded software, GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms. Demonstrated ability to create fundamentally new, novel (patentable) image processing, enhancement, and rendering technologies. Strong publication record in major image/video/AI conferences and journals (e.g. NeurIPS, ICLR, ICML, etc.). Strong track of inventing, developing and productizing video technologies in an industrial research environment. Ability to envision applications of new technologies in the form of innovative product solutions. Strong innovator. Highly skilled in C/C++, Python. Experience in managing, guiding and mentoring younger researchers . Team-oriented work ethic and interest to work in cross-continental teams. Strong personal interest in learning, researching, and creating relevant new technologies with high commercial impact. Excellent communication, collaboration, and presentation skills in English. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. 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Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence -Generative AI-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI