1125 Computer Vision Jobs - Page 45

Designation: AI/ML Engineer Experience : 2 - 5 years exp Education : Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related fields Job Location: Navi Mumbai (Onsite) Role. Key Responsibilities: Design and develop AI/ML models for OCR, focusing on handwritten, printed, and multi-language documents. Train and fine-tune custom OCR models using frameworks like TensorFlow, PyTorch, or Google Vertex AI, etc. Integrate OCR solutions into a browser-based platform using Node.js (backend) and React.js (frontend). Preprocess and analyze scanned or photographed documents to improve text recognition accuracy using tools like OpenCV. Evaluate and compare third-party OCR services (e.g., Google Vision, Azure OCR, Amazon Textract). Build intelligent data pipelines for document parsing, classification, and information extraction. Collaborate with full-stack developers to deploy AI models into production web apps. Keep up to date with advancements in AI tools, OCR technologies, and web integration strategies. Experience in diagram or symbol detection Required Skills & Qualifications:* Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related fields 3+ years of proven experience with OCR technologies and document image processing Strong proficiency in Python for model development, training, and data pipelines Working knowledge of JavaScript, Node.js, and React.js for full-stack AI integration Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, or similar) Demonstrated ability to preprocess and enhance document images using OpenCV or similar tools. Experience deploying ML models to production environments. Familiarity with version control (Git), containerization (Docker), and cloud services (AWS/GCP/Azure) *Good to Have Skills:* Experience with Agentic AI frameworks (LangChain, AutoGPT, or similar) Knowledge of RAG (Retrieval-Augmented Generation) architectures for document context Familiarity with LLM integration for enhanced document understanding Experience with multi-language document processing and non-Latin character recognition Understanding of diagram, table, and technical symbol detection in documents Background in MLOps tools (MLflow, DVC, Vertex AI) for model lifecycle management Experience developing autonomous AI agents for document processing automation Familiarity with prompt engineering for specialized OCR applications Interested candidate can apply there resume on email id :- hr@techplusinfotech.com .

As the engineering team leader, you ll work closely with local engineering staff and a team of experts to design and execute your team s feature roadmap. You will have direct input into requirement definition, and will work closely with our customers, developers and product managers to define, develop and deliver new products and features. The ideal candidate is equally obsessed with delivering the best possible customer experiences and leading and building strong teams. They define software architecture, communicating effectively with engineers, partners, leaders and a broad set of stakeholders. This leader can think long-term, advocate for strong engineering excellence, and bring in their own software development best practices as well as follow best practices from the broader development community in Amazon. The ideal candidate has a passion for TV and video entertainment and/or advertising combined with an established track record delivering break-out consumer software experiences. Key job responsibilities Work with product management and cross functional teams to build and ship technical solutions for desired user experiences Provide hands on technical leadership to the team, design reviews, and prioritization Implement process improvements for both your own and surrounding teams Advise senior and executive management Define detailed technical requirements from high level product requirements and enable your team to do the same Collaborate with and influence various internal and external teams to deliver technical infrastructure relevant to the projects owned by your team Drive and facilitate innovation within the team Manage team priorities, headcount projections, recruiting and continuous performance evaluations Monitor, drive and facilitate individual growth of your team s individual contributors Ownership of the overall systems development life cycle Execution against project plans and timely delivery of committed results Ownership of all operational metrics and support for your team s software About the team The FAME (Fire TV Advertising Monetization Engagement) team combines advertising and mobile technologies, smart TVs and Alexa to help our customers discover and engage with content and help Amazon to lower the prices. We operate at Amazon scale, designing and deploying software that is enjoyed by over 65MM active users globally. We solve significant customer problems in the consumer electronics space through devices, mobile applications, and machine learning. - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

We are seeking a talented and experienced Data Scientist with strong experience in ML powered search - Semantic search, Learning to Search Ranking (LTR), AutoComplete & Spell check, Query Understanding & augmentation, Natural language search. The ideal candidate will possess in-depth knowledge and experience in different problems such as image classification, object detection, semantic segmentation, text summarization, language models, etc. KEY RESPONSIBILITIES Design, develop and implement advanced algorithms for ML Based search. Designed and develop algorithm for search ranking, spell check, auto complete and session level personalization. Improve overall customer experience by optimizing the response time, architecture, algorithms and models. Implement different kind of personalization i.e. user level, session level and region level. Develop API keeping in mind for low internet bandwidth customers. Design large-scale AI/ML systems end-to-end in a very fast-paced environment. Integrate AI/ML systems into existing data pipelines and systems. Identify areas of improvement in existing solutions. KEY SKILLS Strong experience in statistical analysis, Machine learning and deep learning techniques, particularly those related to computer vision and natural language processing (NLP). Proven track record of deploying scalable machine learning models in real-world applications Strong problem-solving skills and the ability to translate business requirements into analytical solutions. Prior experience in handling very large transactional datasets across different business functions. A self-starter and self-motivated individual who can work independently with other teams. Outstanding verbal and written communication skills Passion to stay updated with the latest advancements in AI, deep learning, generative AI and related system design areas. Lead research initiatives to explore new methodologies, tools, and technologies. Preferred Qualifications: Bachelor s or master s degree in computer science, Engineering, or a related field. Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch. Familiarity with key deep learning metrics and optimization techniques. Strong Knowledge of version control systems, particularly Git. If you are a skilled Data Scientist who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization. WHAT WE OFFER competitive compensation depending on experience Opportunities for professional and personal development Opportunities to progress within a dynamic team. Chance to work with close and collaborative colleagues Comprehensive health coverage

AI/ML Engineer Summary Apply Now Noida Full-Time 3-5 Years Industry IT/Artificial Intelligence Responsibilities Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. About The Role Design and implement AI models and machine learning algorithms. The role involves collaborating with data scientists to build intelligent systems and deploying models in production. Qualifications Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Skills Proficiency in Python and machine learning libraries. Strong understanding of natural language processing (NLP). Experience with cloud-based AI services (AWS, Google AI). Strong problem-solving and analytical skills.

Job Description : We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What we're looking for: At least 3 years of experience in designing & building AI applications for customer and deploying them into production At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills.

Selected intern's day-to-day responsibilities include: 1. Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest in images 2. Support researchers in training deep learning models through accurately categorizing content, labeling images, and annotating data 3. Report and document issues faced from data annotation to research team and discuss solutions to improve data 4. Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models 5. Contribute to workflow process improvements Requirements: 1. Preferably with basic computer literacy and information technology experience 2. Comfortable handling of large data sets regularly 3. Ability to work on repetitive tasks efficiently and effectively with minimal errors 4. Excellent communication, analytical, and reasoning skills 5. Possess high motivation with the desire to learn 6. Proactive attitude 7. Strong interest in artificial intelligence and machine learning, especially in deep learning

Job Summary: We're seeking an experienced AI Engineer to develop and integrate cutting-edge AI solutions into our product. The ideal candidate will have expertise in machine learning, deep learning, and software development. Collaborating with our Product Manager, you'll design, implement, and optimize AI-driven solutions to enhance our application. Key Responsibilities: Develop and integrate AI models and algorithms Collaborate with cross-functional teams (Product, Engineering, Design) Optimize AI models for performance, scalability, and efficiency Ensure seamless integration with existing infrastructure Troubleshoot and resolve AI-related issues Stay updated on AI trends, technologies, and best practices Requirements: Bachelor's/master's degree in computer science, AI, or related fields 5+ years of experience in AI/ML development Proficiency in Python, Deep Learning, TensorFlow, PyTorch, or similar frameworks Experience with machine learning libraries and expertise in Natural Language Processing (NLP) and Computer Vision tools. Familiarity with cloud platforms (AWS, GCP, Azure) Knowledge of containerization (Docker) and orchestration (Kubernetes) Nice to Have: Experience with AI-specific tools and frameworks Familiarity with agile development methodologies Knowledge of DevOps practices Certification in AI/ML (e.g., TensorFlow Certified Developer) Role & responsibilities

Job Summary We are looking for a good Python Developer responsible for developing & managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. The requirements will be around document OCR, Data extraction of the content from images/PDFs etc. to further perform data extraction using RegEx, NLP etc. to be passed to other business systems via API. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well. Key Responsibilities Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards Skills and Experience Strong proficiency with Python, DJANGO framework and REGEX Good in microservice design pattern and developing scalable application Integration of APIs, multiple data sources and databases into one system Good knowledge in API Gateways and proxies, such as WSO2, Kong, nginx, Apache HTTP Server. 4-6 years relevant of Hands-on Experience Qualifications Masters with specialisation in AI/ML Strong knowledge of Deep Learning and ability to identify DL algorithms as per use case requirement Familiar and working experience with DevOps tools like Ansible, Jenkins, Terraform About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 26255

Job Title: Staff Software Engineer(Lead Data Scientist) Locations: Bangalore / Ahmedabad / Pune - (Remote) Reports to: Director, Software Engineering A quick snapshot We are looking for a talented Staff Software Engineer/Lead Data Scientist to help us build the next-gen Conga products. You will act as a subject matter expert as this will pertain to building architecture and working with cross-functional teams to help resolve issues. Working closely with senior stakeholders to understand business requirements and help them translate these into technical requirements for the development team. The Platform Services team is a tightly integrated team serving the foundational platform components of Conga products. We architect, build, run, and support all the internal systems and services that run Cloud Revenue Lifecycle Management. Why its a big deal This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions. Are you the person were looking for? Related Experience . You should have 8+ years of Hands-On experience in the development of AI models, writing codes, building algorithms, and deploying models into production environments. Your experience with NLP, Generative AI, fine-tuned LLMs and LM models like GPT 4, Llama, BERT etc. and experience in building RAG pipelines is highly desired for this role• you should have experience with deep learning models, recommendation engines. It would be great to have exposure to Agentic AI models like Semantic Kernel/Lang Graph, usage of CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployment (Azure/AWS/GCP). Component and Service Design: You should be able to design and build reusable components, microservices, and APIs that can be leveraged across multiple AI projects within Conga. Developing and maintaining libraries of reusable codes, tools, and templates that accelerate AI development is necessary. You must ensure that all components are built for integration with existing systems, supporting seamless data flow and interoperability and to be able to communicate complex technical concepts to stakeholders, ensuring that they understand the capabilities and limitations of AI technologies. Deployment Tools. You should possess hands-on experience working with containers and Kubernetes and Demonstrate success executing development work within an Agile environment. Agile Development and Planning. You would be a part of the agile team, which includes design, development, testing, planning, backlog grooming, and support during the project lifecycle. You will work with product owners and architects to understand detailed requirements and own the code from design, and development to test automation. AWS or Azure Cloud . You should be proficient with cloud architecture, cloud design patterns, and AWS or Azure cloud technologies. Education. A bachelors degree in engineering or equivalent. Heres what will give you an edge Effective communication and interpersonal skills. Youre comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently. Initiative. You do not wait around for things to happen or for your manager to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if its outside your scope of work -- you put a proposal together, talk to the team about it, and own it . And that also goes back to having an entrepreneurial spirit. Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success. Did we pique your interest? If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! Dont meet every requirement for the role? Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga, we are dedicated to building a diverse, inclusive, and authentic workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.

Who we are looking for: Monk is leading the way in AI-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europ Getaround (France), Autobiz (Europe), and Hgreg (Canad We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we’d love to have you on board. This role is your opportunity to lead game-changing projects, create tangible value, and shape the future of AI technology in the automotive space. What you will do: Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs. Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk’s AI solutions Identify and solve key business problems with data-driven, actionable insights. Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions. Mentor and support junior team members, cultivating a culture of excellence and collaboration. Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback. Ensure long-term reliability and scalability through robust documentation and testing practices. Tech Stack Utilized: Languages: Python, SQL Libraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn Tools: Jupyter, DBT, Docker Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHub Background and Skills: Required Skills 5+ years of experience in computer vision, data science or related fields, wit a proven track record of delivering impactful results. Strong foundation in machine learning, computer science, statistical modeling, and data processing pipelines. Proficiency in Python and SQL for data manipulation and model development. Solid experience deploying machine learning models into production environments. A proactive approach to aligning with business needs and driving team-wide innovation. Strong communication skills to explain technical concepts to non-technical stakeholders. Fluent in English, enabling effective collaboration across global teams. Desired Background Master’s or Ph.D. in Data Science, Computer Science, or a related field Experience in B2B SaaS, automotive technology, or AI-driven startups. Knowledge of working with distributed teams across time zones. A proactive mindset, with the ability to work autonomously in fast-paced environments. #LI-RG1

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Role & responsibilities Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics Work with senior leaders from all functions to explore opportunities for using advance analytics Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality Preferred candidate profile Experience in predictive modelling and predictive software development Skilled at Java, C++, Perl/Python (or similar scripting languages) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic Optimization (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Perks and benefits Five Reasons Why You Should Join Zycus Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

Job Description The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal Applied Scientist (IC4) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. Were looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. Youll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. What we offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What Youll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal models is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Career Level - IC5 Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

Key Responsibilities 1. Sales & Business Development Identify and develop new business opportunities for AI/ML and Computer Vision-based solutions in industries such as Banking, Insurance, NBFC, Media & Entertainment, Healthcare. Create and execute sales strategies to penetrate new markets and drive revenue growth. Build and manage a robust sales pipeline, ensuring consistent lead generation and conversion. Conduct product demos, technical presentations, and proof-of-concept discussions with clients. Work closely with marketing, product and technical teams to customize solutions for clients. Respond to RFPs, RFIs, and collaborate on proposal development with technical teams. 2. Client Engagement Develop and nurture relationships with C-level executives (CTOs, CIOs, AI Heads, Innovation Leaders, and Data Science Teams). Negotiate contracts, pricing, and terms with enterprise clients. 3. Market & Industry Analysis Keep up with the latest advancements in AI/ML, deep learning, and computer vision to provide valuable insights to clients. Analyze market trends, competitor activities, and customer pain points to refine sales strategies. Provide feedback to internal teams for continuous improvement in AI/ML offerings. 4. Collaboration & Reporting Work closely with the product, marketing, and technical teams to align AI solutions with market needs. Provide regular sales forecasts, reports, and pipeline updates to senior management. Represent the company at AI conferences, trade shows, and industry events. Key Requirements Education & Experience Bachelors or masters degree in business, Computer Science, AI/ML, Data Science, or related field. 4-8 years of experience in B2B sales, business development in AI/ML, Computer Vision, or Data Analytics solutions. Technical & Sales Skills Strong understanding of AI/ML, deep learning, computer vision, and data analytics applications. Proven track record in selling AI-powered software solutions, SaaS, or enterprise AI products. Experience in selling to enterprise clients and mid-market organizations. Ability to translate complex AI/ML concepts into business value for non- technical stakeholders. Proficiency in sales processes, CRM tools (Salesforce, HubSpot, Zoho), and pipeline management. Soft Skills Excellent communication, negotiation, and presentation skills. Strong consultative sales approach to identify and address client challenges. Whatsapp - +919892241535

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. Youre Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What Youll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Masters degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3

Oracle CX Cloud (Fusion Sales/Service, OFSC, CPQ, VBS, Redwood) - Senior Cloud Consultant Oracle Global Services Center(Oracle GSC) is a fast-growing Cloud based consulting team focused on our customers rapid and successful adoption of CX Cloud Solutions. Our flexible and innovative Optimum Shore approach helps our clients implement, maintain, and integrate their Oracle CX Cloud Applications and Technology environments while reducing overall total cost of ownership. We assemble an optimal team for each client by blending resources from onshore, near shore, and offshore global delivery centers to match the right expertise, to the right solution, for the right cost. To support our rapid growth, we are seeking talented consultants that bring a passion for providing excellent client experience, enabling client success by developing innovative solutions. As an Oracle Senior Cloud Consultant, you will have the opportunity to work within a powerful SaaS/PaaS application platform that transforms the way many Fortune 1000 companies conduct their business, utilizing some of the cutting-edge technologies available. You will work closely with our marquee customers to implement Oracle CX products such as Sales B2B Service Cloud, Field Service Cloud, CPQ, Asset based Service, Subscription Management, Incentive Compensation utilizing technologies such as Visual Builder Studio, Visual Builder Cloud Services, and Oracle Integration Cloud to deliver solutions that will drive their long-term success. We are looking for experienced consulting professionals who understand solutions, business processes, and technology designs within the Oracle CX products such as Sales B2B Service Cloud, Field Service Cloud, CPQ, Asset based Service, Subscription Management, Incentive Compensation, and technologies such as Visual Builder Studio, Visual Builder Cloud Services, and Oracle Integration Cloud. Individuals should demonstrate ability to solve problems, take initiatives, and learn new products. Work within consulting teams that build market leading CX enterprise solutions using best of breed SaaS PaaS platforms. You will be working along with our enterprise architects and project managers, to understand customer goals/requirements, expectations, and challenges, analyze situations/data, for configuring or developing business technical solutions on the Cloud. You will advise project managers other partners from time to time on implementation aspects of the project. You will be responsible for the overall delivery quality on the project by ensuring teams alignment to standard practices and procedures. Build an understanding of and demonstrate Oracle methodologies, tools, and leading practices. This is an exciting opportunity that will test your consulting, critical thinking, leadership, and technical skills with the ability to remain focused and follow-through on plans. You wont be alone; we will provide the tools, raw data, training, coaching and people resources to help you be successful. Career Level - IC3 Responsibilities Provide consistent high quality innovative solutions on CX Cloud engagements by interacting with customers and other partners to arrive at optimal solutions. Analyze and understand client goals, challenges areas of opportunity to align Oracles CX Cloud applications for building optimal functional technical solutions based on Industry Best Practices. Develop and deliver high quality presentations and demonstrations, present and articulate product features, and benefits, and configure and test overall Oracle Cloud solutions that delight the clients. Effectively utilize products such as Oracle CX Sales B2B Service Cloud, Field Service Cloud, CPQ, Asset based Service, Subscription Management, Incentive Compensation along with technologies not limited to VBCS, VBS, Redwood UI, OIC to deliver world class solutions. Refine customer requirements in detail, document and present to the client for approval. Prepare documentation detailing delivered solutions, integration migration strategies, throughout the engagement. Identifies and applies creative and innovative approaches to resolving product implementation and integration challenges. Analyze current systems and data to identify new requirements, recognizing the need for systems enhancements or modifications if necessary. Develop unit test scripts and coordinate with the client to perform the User Acceptance Testing of the system enhancements or custom solutions. Lead and direct the following phases of system life cycle: Gather business requirements through business process workshops, Analyze, design, configure and develop solutions for Oracle above noted applications, Process Playbacks, System Integration Testing and User Acceptance Testing, Go-Live preparation and cut-over support, Post-production support. Adhere to all Oracle Cloud security policies, standards, and procedures in the performance of job responsibilities. Mentor junior consultants in delivery of their customization and ensure the solution approach is in-line with the standard methodologies future product roadmap. Ability to formulate a broader perspective of an issue by recognizing the inter-dependencies and inter-play between elements. Promote knowledge by sharing lessons learned, innovations or new skills with team members. Prepare documentation detailing delivered solutions, integration migration strategies, throughout the engagement. Ideal Candidate should have the following qualifications/skills: Bachelors degree in Engineering or Computer Science (BCA/MCA/BSc Comp) or a technical field from a reputed college/university. Overall, 8+ years of experience relevant to this position. Demonstrable experience as a techno-functional lead on at least two large-scale full-life cycle implementations of Oracle CX Applications, with strong implementation expertise in at least two of the following products is a must. CX Sales B2B Service Cloud Field Service Cloud CPQ Asset Based Service Subscription Management Incentive Compensation Familiarity and exposure to business processes such as Target to Lead, Opportunity to Cash, Request to Resolution. Strong techno-functional skills in proposing, designing optimal solutions, including ownership of the overall solution for customization/extension/integrations on Oracle CX Cloud Projects. Experience developing process flow diagrams, gathering requirements, conducting workshops, design and prototyping, testing, training, defining support procedures, and implementing practical business solutions. Oracle CPQ - Hands on experience in configuring Oracle CPQ Cloud module Pricing, Quotation Configuration, Product Management-Items, BOMs, and System Configuration, Document Engine and Big Machines Language (BML), Utilities Libraries, Validation/Hiding/Constraint rules, Layout editor, Commerce layout, Custom CSS, Designing extensions and interfaces in Oracle CPQ Cloud module. OSC/B2B Cloud - Prior hands-on experience in functional configurations and customization in the following areas - custom objects, groovy scripting, assignment manager, workflows, triggers email alerts, Data Migration, OTBI Analytics etc. Oracle Field Service - Prior hands-on experience in configurations and customization in the following areas Core Application, Profiles, Permissions, Business Rules, Routing Plans, Work Schedules, Smart Collaboration, Action Management, Mobility and Manage Displays, Reports, Data migration, Inbound/Outbound messages. Experience developing Oracle Field Service forms and plug-ins. Experience developing extensions using Redwood UI, VBCS, VBS, JET Good knowledge in web based front end development using HTML, JavaScript, and CSS Experience with React and/or other front-end JavaScript frameworks, would be a plus. Strong hands-on experience with design and development of integrations (point to point and Integration Cloud) using various integration patterns. Experience developing integration, conversion, reporting strategies and architecture based on project environment and requirements. Good understanding of Oracle PaaS components, such as XSLT mapper, Adapters, etc. Implementation of AI features, use cases and development of custom accelerators using Oracle Cloud Infrastructure AI platform. Experience using shell commands, GIT, JIRA, ALM, and other similar tools. Experience developing process flow diagrams, gathering requirements, conducting workshops, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions. Experience with web services standards and technology including WSDL, SOAP, REST, JSON, XML, XML-Schema, XSL, WS standards/Security etc. Knowledge of Oracle JET Toolkit, JavaScript APIs Junit would be a big plus. Hands on exposure to DevOps processes Experience with Security Guidelines and Best Practices In addition, successful Candidates will have the following preferred skills/background: Excellent customer facing interpersonal skills with ability to build rapport with all partners. Prior experience working with US based clients/counterparts. Ability to work independently and manage multiple task assignments. Comfortable in constantly evolving and sometimes ambiguous work situations. Keen attention to detail and complex problem-solving abilities from operational and technical perspective High energy drive coupled with strong oral and written communication skills, including presentation skills. Excellent problem solving, critical thinking and analytical skills with the ability to exercise good judgment. A Go-getter who focuses on continuous self-improvement and desire to stay abreast of emerging technologies. Prior experience of implementing other CRM solutions (Oracle E-Business CRM, Oracle Siebel, Salesforce.com, Microsoft Dynamics, etc.) Skilled in delivering clear outcome-based targets and measures by working with urgency in getting the job done. Life at Oracle: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. At Oracle, we dont just value differenceswe celebrate them! Were committed to creating a workplace where all kinds of people work together. We believe innovation starts with diversity and inclusion. https://www.oracle.com/corporate/careers/culture/diversity.html

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Requirements Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment.

Job Description ROLE: Data Scientist Total Exp: 4 8 Years Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B. Tech/MCA/M. Sc/MCM/M. Tech/Phd Requirement details: Self-Motivated, Dynamic result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc.

About The Role Machine Learning Understanding algorithms, data processing, and model training. Natural Language Processing (NLP) Techniques for processing and generating human language. Data Science Skills in data analysis, statistics, and data visualization. Software Development Proficiency in programming languages like Python, R, and Java. Deep Learning Knowledge of neural networks and frameworks like TensorFlow and PyTorch. ? These models are designed to understand and generate human-like text, similar to other well-known models like GPT-3. LLaMA models are used for various applications, including natural language processing tasks such as text generation, translation, summarization, and more. They are part of Meta's efforts to advance AI research and develop more sophisticated and capable AI systems. . Key skills in this area include: Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Blubridge is seeking passionate and talented freshers to join our AI research team. As an AI Research Engineer, you will work on developing innovative AI solutions, contribute to research projects, and write clean, efficient Python code to solve real-world problems. This role is ideal for freshers who have a strong foundation in Python and a passion for AI research. In this position, you will work with open-source models like DeepSeek R1 and Ollama to train, fine-tune, and explore their potential, enabling you to drive our research forward and contribute to groundbreaking AI projects. Key Responsibilities: Develop and implement Python-based algorithms for data processing and machine learning applications. Collaborate with senior researchers to design, prototype, and test new AI models and methodologies. Work with open-source models like DeepSeek R1, Ollama to train, fine-tune, and explore their potential. Analyze large datasets using Python libraries such as NumPy, and pandas to extract insights and support model development. Write clean, efficient, and well-documented code following best practices; participate in code reviews and debugging sessions. Conduct experiments to test hypotheses, evaluate model performance, and iterate on solutions quickly. Gain hands-on experience by working directly on advanced hardware and server systems like H200, RTX6000 Ada etc. Stay updated with the latest advancements in AI research and contribute to internal knowledge-sharing sessions. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Electronics and Communication, Mathematics & Data science. Strong proficiency in Python with a solid understanding of data structures, algorithms, and object-oriented programming. Familiarity with Python libraries such as NumPy, pandas, and scikit-learn; basic exposure to machine learning concepts is a plus. Excellent problem-solving skills and attention to detail. Good written and verbal communication skills and ability to work collaboratively in a team. Desired Skills (Optional): Experience with deep learning frameworks such as TensorFlow or PyTorch. Exposure to projects involving natural language processing, computer vision, or reinforcement learning. What We Offer: A dynamic and innovative work environment in a cutting-edge AI research team. Opportunities for professional growth, mentorship, and learning. Competitive salary and benefits. Hands-on access to state-of-the-art hardware and server systems, such as H200 and RTX6000 Ada. Access to the latest tools and technologies in AI. Candidates can apply directly through Naukri. Additionally, interested candidates should send their updated resume, a cover letter outlining their interest in AI research, and any relevant project or code samples (e.g., GitHub links) to praveen@evodigital.in

Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs Assist in the development of visualizations and presentations for client deliverables Develop software solutions and applications using Python, SQL, and/or R Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers.

Identify trending open-source AI models with strong community adoption, import them into the Clarifai Community, and validate them across real-world use cases. Create clear, engaging previews and demos both technical and non-technical that showcase model capabilities. Collaborate with Marketing to promote new models and generate compelling content around them. Engage with the open-source AI community to build relationships with original model authors and increase backlink visibility. Develop lightweight Python-based demos and utilities to highlight model performance and usability. Impact As an ML Community Ops Engineer, you will directly contribute to growing Clarifai s model ecosystem by adding cutting-edge AI models and making them accessible to users. Your work will expand Clarifai s reach, improve discoverability, and ensure our platform remains at the forefront of open-source AI. By bridging engineering, marketing, and community engagement, you ll help solidify Clarifai s presence in the AI developer ecosystem. Requirements Strong experience developing, fine-tuning, and evaluating machine learning models, including familiarity with model architectures and key evaluation metrics. Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and architectures such as transformers and CNNs. Actively follows AI and ML trends staying current with emerging models, benchmarks, and communities. Proficiency in Python, with ability to write clean, efficient code for ML workflows and data pipelines. Experience working with cloud platforms (e.g., AWS, GCP, Azure) for model deployment and compute orchestration. Solid software engineering fundamentals, including Git, modular design, and code testing. Practical experience with data preprocessing, feature engineering, and analysis of large datasets. Great to Have Strong experience developing, fine-tuning, and evaluating machine learning models, including familiarity with model architectures and key evaluation metrics. Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX) and architectures such as transformers and CNNs. Actively follows AI and ML trends staying current with emerging models, benchmarks, and communities. Proficiency in Python, with ability to write clean, efficient code for ML workflows and data pipelines. Experience working with cloud platforms (e.g., AWS, GCP, Azure) for model deployment and compute orchestration. Solid software engineering fundamentals, including Git, modular design, and code testing. Practical experience with data preprocessing, feature engineering, and analysis of large datasets.

Position Overview: We are seeking a talented Computer Vision Engineer with expertise in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds. Responsibilities: Develop next generation machine vision system with Python/C++. Develop and lead implementation of state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems. Optimize algorithms for real-time performance and high-speed processing. Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products. Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing. Design and implement advanced AI annotation and active learning pipelines Develop synthetic data generation strategies using simulation technologies Provide technical guidance and mentorship to team of data scientists and machine learning engineers Requirements: Master's or Ph.D. degree in Computer Science or related field. 10+ years of work experience, with 7+ years of relevant experience in image processing, computer vision, and deep learning. Proficiency in MATLAB and strong skills in Python and/or C++ programming languages. Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc. Strong understanding of deep learning techniques and algorithms. Experience with point cloud and camera-based measurement/detection systems. Strong background in 3D point cloud processing. Knowledge on MLOps and DevOps would be good to have. Knowledge on any cloud platform GCP/Azure/AWS would be preferred. Experience with containerization technologies such as Docker and orchestration tools like Kubernetes. Excellent problem-solving skills and ability to work independently as well as in a team environment. Strong communication skills with the ability to articulate technical concepts effectively. Personal Attributes: Strong oral and written communication skills. Strong interpersonal and influencing skills. Effective team building and problem-solving abilities. Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies. Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the worlds brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Data Scienctist (MRF00718) - J48913 ROLE: Data Scientist Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B.Tech/MCA/M.Sc/MCM/M.Tech/Phd Requirement details: Self-Motivated, Dynamic & result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc. Required Candidate profile Candidate Experience Should Be : 4 To 8 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT,MSc-Other,MS-Other,MTech-Comp/IT

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 : Accenture Delivery Architectures (ADA) Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Accenture Delivery Architectures (ADA) and implementing deep learning, neural networks, chatbots, and natural language processing technologies. Roles & Responsibilities: 1 Lead architecture, design, cross business area projects and development teams for AI applications 2 Identify and explore the framework, NLP tools, VA platform, architecture, or tech stack can be used to create a solution and the connection between the components - Collaborate with cross-functional teams to ensure seamless integration of AI-based applications and systems. - Stay updated with the latest advancements in AI and machine learning technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: 1 Knowledge of applications using MEAN stack, Angular JS, Nodejs, Python 2 Understanding of UI technologies like HTML, JavaScript, jQuery 3 Hands on experience on VA tools like Microsoft Bot Framework, Google Dialog flow, RASA, Amazon Lex at least 2 4 Knowledge of: Big Data, LAMP Linux, Apache, MySQL, PHP, DevOps, PaaS a: Custom Frameworks, Spring related technologies, UML, OO Design, Spring Boot, Microservice and JEE Archtiecture b: Cloud AWS,Azure,Google c: Artificial intelligence, Machine Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients Educational Qualification: 15years fulltime of Education - Solid grasp of machine learning algorithms and techniques. - Experience with data visualization tools such as Tableau or Power BI. Additional Information: - The candidate should have a minimum of 3 years of experience in Accenture Delivery Architectures (ADA). - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

Management Level Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Master's degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.