1800 Computer Vision Jobs - Page 14

Inviting applications for the role of Data Scientists with Computer vision experience! We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments. Key Responsibilities: Lead CV Projects: Design and deliver Computer Vision models across a range of use cases (e.g., anomaly detection, visual inspections, OCR, predictive maintenance). Model Development: Develop, evaluate, and optimize state-of-the-art AI/ML models (e.g., CNNs, Vision Transformers, YOLO, Faster R-CNN, etc.). Mentorship: Guide junior and mid-level data scientists on best practices in feature engineering, model selection, evaluation metrics, and problem-solving strategies. Domain Translation: Translate complex industrial problems into AI-driven CV solutions that can scale in production environments. Collaboration: Work closely with software engineers, MLOps, and business teams to ensure model integration and operational success. Code Quality & Experimentation: Drive code modularity, reproducibility, and experimentation through use of ML pipelines, version control, and testing. Innovation & Research: Stay current with latest CV and AI/ML advancements and apply them appropriately to business problems. Stakeholder Communication: Present insights, models, and outcomes in a clear and impactful way to both technical and non-technical stakeholders. Required Qualifications: Masters or PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field. 812+ years of industry experience in building and deploying machine learning models, with a strong portfolio in Computer Vision. Deep expertise in ML frameworks and CV libraries such as PyTorch, TensorFlow, OpenCV, Detectron2, MMDetection, etc. Solid understanding of core AI/ML algorithms – classification, regression, segmentation, object detection, time-series, clustering, etc. Experience with MLOps tools (e.g., MLflow, DVC, Kubeflow) and cloud platforms (AWS/GCP/Azure). Strong communication, leadership, and team collaboration skills. Preferred Qualifications: Prior experience in domains such as energy, utilities, power generation, or industrial systems is highly preferred. Experience deploying CV models within real-time environments. Contributions to open-source CV projects or published research. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Lead the development of CI/CD pipelines and standardize deployment frameworks. Strong Python programming skills. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training

Inviting applications for the role of ( ML/CV Ops Engineer) ! We are seeking a highly skilled ML CV Ops Engineer to join our AI Engineering team. This role is focused on operationalizing Computer Vision modelsensuring they are efficiently trained, deployed, monitored, and retrained across scalable infrastructure or edge environments. The ideal candidate has deep technical knowledge of ML infrastructure, DevOps practices, and hands-on experience with CV pipelines in production. You’ll work closely with data scientists, DevOps, and software engineers to ensure computer vision models are robust, secure, and production-ready always. Key Responsibilities: End-to-End Pipeline Automation: Build and maintain ML pipelines for computer vision tasks (data ingestion, preprocessing, model training, evaluation, inference). Use tools like MLflow, Kubeflow, DVC, and Airflow to automate workflows. Model Deployment & Serving: Package and deploy CV models using Docker and orchestration platforms like Kubernetes. Use model-serving frameworks (TensorFlow Serving, TorchServe, Triton Inference Server) to enable real-time and batch inference. Monitoring & Observability: Set up model monitoring to detect drift, latency spikes, and performance degradation. Integrate custom metrics and dashboards using Prometheus, Grafana, and similar tools. Model Optimization: Convert and optimize models using ONNX, TensorRT, or OpenVINO for performance and edge deployment. Implement quantization, pruning, and benchmarking pipelines. Edge AI Enablement (Optional but Valuable): Deploy models on edge devices (e.g., NVIDIA Jetson, Coral, Raspberry Pi) and manage updates and logs remotely. Collaboration & Support: Partner with Data Scientists to productionize experiments and guide model selection based on deployment constraints. Work with DevOps to integrate ML models into CI/CD pipelines and cloud-native architecture. Required Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. Sound experience in ML engineering, with significant work in computer vision and model operations. Strong coding skills in Python and familiarity with scripting for automation. Hands-on experience with PyTorch, TensorFlow, OpenCV, and model lifecycle tools like MLflow, DVC, or SageMaker. Solid understanding of containerization and orchestration (Docker, Kubernetes). Experience with cloud services (AWS/GCP/Azure) for model deployment and storage. Preferred Qualifications: Experience with real-time video analytics or image-based inference systems. Knowledge of MLOps best practices (model registries, lineage, versioning). Familiarity with edge AI deployment and acceleration toolkits (e.g., TensorRT, DeepStream). Exposure to CI/CD pipelines and modern DevOps tooling (Jenkins, GitLab CI, ArgoCD). Contributions to open-source ML/CV tooling or experience with labeling workflows (CVAT, Label Studio). Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.

Inviting applications for the role of ( ML/CV Ops Engineer) ! We are seeking a highly skilled ML CV Ops Engineer to join our AI Engineering team. This role is focused on operationalizing Computer Vision modelsensuring they are efficiently trained, deployed, monitored, and retrained across scalable infrastructure or edge environments. The ideal candidate has deep technical knowledge of ML infrastructure, DevOps practices, and hands-on experience with CV pipelines in production. You’ll work closely with data scientists, DevOps, and software engineers to ensure computer vision models are robust, secure, and production-ready always. Key Responsibilities: End-to-End Pipeline Automation: Build and maintain ML pipelines for computer vision tasks (data ingestion, preprocessing, model training, evaluation, inference). Use tools like MLflow, Kubeflow, DVC, and Airflow to automate workflows. Model Deployment & Serving: Package and deploy CV models using Docker and orchestration platforms like Kubernetes. Use model-serving frameworks (TensorFlow Serving, TorchServe, Triton Inference Server) to enable real-time and batch inference. Monitoring & Observability: Set up model monitoring to detect drift, latency spikes, and performance degradation. Integrate custom metrics and dashboards using Prometheus, Grafana, and similar tools. Model Optimization: Convert and optimize models using ONNX, TensorRT, or OpenVINO for performance and edge deployment. Implement quantization, pruning, and benchmarking pipelines. Edge AI Enablement (Optional but Valuable): Deploy models on edge devices (e.g., NVIDIA Jetson, Coral, Raspberry Pi) and manage updates and logs remotely. Collaboration & Support: Partner with Data Scientists to productionize experiments and guide model selection based on deployment constraints. Work with DevOps to integrate ML models into CI/CD pipelines and cloud-native architecture. Required Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. Sound experience in ML engineering, with significant work in computer vision and model operations. Strong coding skills in Python and familiarity with scripting for automation. Hands-on experience with PyTorch, TensorFlow, OpenCV, and model lifecycle tools like MLflow, DVC, or SageMaker. Solid understanding of containerization and orchestration (Docker, Kubernetes). Experience with cloud services (AWS/GCP/Azure) for model deployment and storage. Preferred Qualifications: Experience with real-time video analytics or image-based inference systems. Knowledge of MLOps best practices (model registries, lineage, versioning). Familiarity with edge AI deployment and acceleration toolkits (e.g., TensorRT, DeepStream). Exposure to CI/CD pipelines and modern DevOps tooling (Jenkins, GitLab CI, ArgoCD). Contributions to open-source ML/CV tooling or experience with labeling workflows (CVAT, Label Studio). Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

We are seeking an experienced AI/ML Developer to design, develop, and deploy advanced machine learning, computer vision, and natural language processing (NLP) solutions. This role requires expertise in AI-driven development, automation, and deep learning to build scalable and efficient applications. Key Responsibilities: 1. Design, develop, and implement AI/ML models for real-world applications. 2. Work with computer vision technologies using OpenCV and Tesseract for image processing and OCR tasks. 3. Develop and optimize NLP models for text analysis, sentiment detection, and chatbot applications. 4. Implement Agentic AI solutions to create adaptive and autonomous AI-driven systems. 5. Utilize TensorFlow to build and fine-tune deep learning models. 6. Optimize model performance, accuracy, and scalability for production environments. 7. Integrate AI/ML solutions with web and mobile applications. 8. Process, clean, and analyze large datasets for training and validation. 9. Collaborate with cross-functional teams to align AI solutions with business objectives. 10. Stay updated with emerging advancements in AI, ML, and deep learning. Required Skills & Expertise: 1. Python Proficiency Strong programming skills in Python for AI/ML applications. 2. Computer Vision & OCR Hands-on experience with OpenCV and Tesseract. 3. NLP & Text Processing – Expertise in Natural Language Processing techniques. 4. Deep Learning – Experience with TensorFlow, model training, and neural networks. 5. Agentic AI – Understanding of AI agents, autonomous decision-making, and self-learning models. 6. Data Preprocessing & Augmentation – Ability to clean and preprocess large datasets. 7. Optimization & Deployment – Experience with model fine-tuning, GPU acceleration, and cloud deployment. 8. Version Control & CI/CD – Familiarity with Git, MLOps, and deployment pipelines. Preferred Skills: Experience with PyTorch, Hugging Face, LangChain, Reinforcement Learning, and Edge AI . Knowledge of LLMs (Large Language Models) and Generative AI .

As a Full Time Frontend Developer Intern at our Mohali location, you will play a vital role in creating intuitive user interfaces for AI-powered applications and developing engaging video portfolios to showcase our projects. Your responsibilities will include collaborating with design and AI teams, ensuring design consistency across web and video assets, and supporting frontend development for AI/Computer Vision-based products and dashboards. Your key responsibilities will involve developing responsive web interfaces using HTML, CSS, JavaScript, and React.js, along with creating short video portfolios using tools like Adobe Premiere Pro, After Effects, or similar software. Additionally, you will be expected to have a good understanding of HTML, CSS, JavaScript, and React (or similar frameworks), familiarity with basic UI/UX principles, and interest or experience in AI, ML, or Computer Vision-based applications. To excel in this role, you should possess basic video editing skills using tools like Adobe Premiere, After Effects, DaVinci Resolve, etc., and demonstrate a strong attention to detail and creativity in presenting content visually. Having a portfolio that showcases your work, including GitHub projects and video work, will be considered a significant advantage. If you are passionate about frontend development, creative storytelling through video, and have the skills and enthusiasm to contribute to our projects, we encourage you to share your CV at careers@harmonydi.com or hr@harmonydi.com. Join our team and be part of an exciting journey in creating innovative and visually compelling digital experiences.,

You will be joining a VC client based in Bangalore as an Investment Partner, focusing on early and growth-stage investments in the technology sector. This role presents a unique opportunity to lead investments in transformative companies across DeepTech sectors. Your responsibilities will include evaluating and leading investments, working closely with portfolio companies to drive strategic growth initiatives, and building relationships within the deep tech ecosystem. Key Responsibilities: - Lead end-to-end investment processes for growth-stage deep tech companies - Develop and execute sector-specific investment strategies across target verticals such as SaaS, Space Tech, Computer Vision, and Climate Tech - Conduct comprehensive technical, market, and financial analysis of potential investments - Present investment recommendations to the investment committee and manage the decision-making process The ideal candidate will have 12+ years of experience in roles such as senior executive or C-level positions at high-growth deep tech companies, founder/co-founder experience in the deep tech sector, investment banking experience in deep tech sectors, or a senior role at a top-tier venture capital or growth equity fund. Educational background requirements include an MBA from a top-tier business school or equivalent advanced degree. On Offer: - Opportunity to lead investments in category-defining deep tech companies - Competitive compensation package - Collaborative and entrepreneurial firm culture with significant autonomy and responsibility,

Job Description: TechGlobal is a global leader in strategy, technology consulting, and digital services, operating in over 100 countries worldwide. With a strong focus on helping businesses transition into a digital-first approach, TechGlobal boasts a workforce of over 600,000 employees, with a significant presence in India, where they have established Development Centres in more than 10 locations across Tier 1 and Tier 2 cities. Known for their employee-centric policies and commitment to providing a flexible work environment, TechGlobal offers a range of hybrid work options to its employees. As an AI/ML Expert specializing in Computer Vision at TechGlobal, your primary role will involve designing, developing, and deploying AI-powered visual systems capable of interpreting images and videos for various applications, including object detection, facial recognition, image segmentation, anomaly detection, and more. Key Responsibilities: - Develop applications and systems that leverage AI tools and Cloud AI services, ensuring the quality of cloud or on-premises application pipelines for production-ready solutions. - Innovate new algorithms, enhance existing models, and explore novel applications of AI to address complex client challenges. - Engage in emerging research areas focusing on Agentic AI autonomous systems that are goal-driven and intelligent, capable of reasoning, planning, and adapting using AI technologies. - Utilize GenAI models as part of the solution, working with deep learning, neural networks, chatbots, and image processing. - Create innovative solutions for industry-specific challenges. - Collaborate with Responsible AI, Delivery leads, and academia on real-world applications such as digital assistants, healthcare agents, and enterprise automation. - Lead research initiatives and present findings at top-tier conferences. - Mentor and develop the next generation of AI talent within the organization. Skills Required: - Proficiency in Computer Vision is essential. - Experience in Machine Learning, NLP, Gen AI, or LLM is preferred. Qualifications & Experience: - Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from premier institutes like IITs, IISc, IIITs, and ISIs. - Minimum of 12 years of relevant experience in the field.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

The Vivriti Group is a leading player in the mid-market lending sector, providing tailored debt solutions to mid-sized enterprises. The group comprises two primary businesses: Vivriti Capital Limited: This is a systematically important Non-Banking Financial Company (NBFC ND-SI) that is regulated by the Reserve Bank of India (RBI). Vivriti Capital has successfully disbursed over USD 3 billion to more than 300 enterprise borrowers and boasts a CRISIL rating of A+. Vivriti Asset Management: This segment operates as a fixed-income fund manager, overseeing multiple Alternative Investment Funds (AIFs). With commitments exceeding USD 550 million from over 900 institutional and private contributors, Vivriti AMC has invested upwards of USD 600 million across 90 entities. In the role of Manager - AI Product, based in Chennai or Bangalore, you will be responsible for the complete lifecycle management of AI/ML products geared towards wholesale lending. This includes overseeing ideation, strategy formulation, development, launch, and ongoing iteration. Your key collaborators will include data scientists, engineers, designers, credit, risk personnel, and other business stakeholders to ensure that our AI initiatives align with user requirements and business objectives. Your primary responsibilities will include defining and executing the AI product roadmap in partnership with leadership and cross-functional teams, converting business challenges into precise AI/ML product requirements, collaborating with data experts and engineers to establish success metrics and model evaluation frameworks, prioritizing product enhancements based on user feedback, data insights, and business impact, ensuring model performance, explainability, fairness, and compliance with ethical guidelines, driving experimentation and iteration for continuous enhancement, acting as a bridge between engineering, data science, design, and stakeholders to secure timely and high-quality delivery, and keeping abreast of emerging AI trends, technologies, and industry best practices. You will also be tasked with championing a user-centric design approach in collaboration with UX/UI designers to craft intuitive, efficient, and engaging user experiences for complex financial workflows. Additionally, you will define key performance indicators (KPIs) for product success and provide regular performance updates to stakeholders. As for requirements, the ideal candidate should possess up to 3 years of product management experience, particularly with AI/ML-based products, a fundamental grasp of machine learning concepts, model lifecycle, and data infrastructure, a track record of translating intricate technical requirements into scalable product solutions, familiarity with MLOps, model evaluation metrics, and deployment pipelines, exceptional communication and stakeholder management abilities, and experience with agile product development and related tools such as Jira, Confluence, Figma, and GitHub. Desired but not mandatory qualifications include hands-on experience with data analysis tools like SQL, Python, Jupyter, exposure to LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems, a background in computer science, engineering, data science, or related fields, and prior exposure to startup or high-growth environments.,

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extensionall tailored to the complexities of industrial environments. Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Work on AI-driven projects that drive real change across industries and improve lives. We are looking for a highly skilled Computer Vision Engineer to join our internal product development team in Bengaluru. As a Computer Vision Engineer, you will be responsible for designing, developing, and implementing advanced computer vision algorithms and systems that enable machines to interpret and understand visual information from the industrial world. The Industrial Computer Vision team addresses hard, novel challenges that arise in product development. You'll bring your knowledge and proven machine learning expertise to develop cutting edge solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of the intersection of Machine Vision and Software Engineering. You should have the ability, inclination, and experience to conduct research that solves practical problems and work closely with research colleagues and customers. Your role will involve researching the latest advancements in computer vision and machine learning, prototyping new ideas, and deploying scalable solutions into production environments. Key responsibilities include developing and optimizing computer vision models, integrating vision systems into real-time applications, evaluating model performance, conducting error analysis, and continuously improving the accuracy and efficiency of vision systems. You should have a strong background in computer vision, deep learning, and software development, along with a passion for solving complex problems and pushing the boundaries of what machines can see and understand. Independently and effectively engage within the internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge Machine vision technology. Strong programming skills in C++, Python, experience in Deep Learning algorithms, GPU programming, familiarity with cloud platforms like AWS or Azure, and preferably experience in YOLO object detection algorithm or similar Convolutional Neural Network algorithms are desirable. Strong written and verbal communications skills and prior experience in cutting-edge technologies with real-world impact across industries are preferred. If you are passionate about computer vision and want to be part of a dynamic and innovative team, we encourage you to apply. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.,

Collaborate with internal teams to implement AI in areas like predictive analytics, site monitoring (via computer vision), labour productivity, etc. Develop proof-of-concepts (POCs), AI models. Experience with AI in construction tech, ERP, IoT, Required Candidate profile Understanding of machine learning, deep learning, and data analytics. Experience with AI in construction tech, ERP, IoT, computer vision, NLP. B.E./B.Tech in Computer Science / IT / Data Science

As a Python Engineer with 2-4 years of experience, you will be responsible for building, deploying, and scaling Python applications along with AI/ML solutions. Your strong programming skills will be put to use in developing intelligent solutions and collaborating closely with clients and software engineers to implement machine learning models. You should be an expert in Python, with advanced knowledge of Flask/FastAPI and server programming to implement complex business logic. Understanding fundamental design principles behind scalable applications is crucial. Independently designing, developing, and deploying machine learning models and AI algorithms tailored to business requirements will be a key aspect of your role. Your responsibilities will include solving complex technical challenges through innovative AI/ML solutions, building and maintaining integrations (e.g., APIs) for machine learning models, conducting data preprocessing and feature engineering, and optimizing datasets for model training and inference. Monitoring and continuously improving model performance in production environments, focusing on scalability and efficiency, will also be part of your tasks. Managing model deployment, monitoring, and scaling using tools like Docker, Kubernetes, and cloud services will be essential. You will need to develop integration strategies for smooth communication between APIs and troubleshoot integration issues. Creating and maintaining comprehensive documentation for AI/ML projects will be necessary, along with staying updated on emerging trends and technologies in AI/ML. Key Skills Required: - Proficiency in Python, R, or similar languages commonly used in ML/AI development - Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML libraries - Strong knowledge of data preprocessing, data cleaning, and feature engineering - Familiarity with model deployment using Docker, Kubernetes, or cloud platforms - Understanding of statistical methods, probability, and data-driven decision-making processes - Proficient in querying databases for ML projects - Experience with ML lifecycle management tools like MLflow, Kubeflow - Familiarity with NLP frameworks for language-based AI solutions - Exposure to computer vision techniques - Experience with managed ML services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform - Familiarity with agile workflows and DevOps or CI/CD pipelines Good to Have Skills: - Exposure to big data processing tools like Spark, Hadoop - Experience with agile development methodologies The job location for this role is in Ahmedabad/Pune, and the required educational qualifications include a UG degree in BE/BTech or PG degree in ME/M-Tech/MCA/MSC-IT/Data Science, AI, Machine Learning, or a related field.,

You will be joining our innovative EdTech team as an experienced AI/ML Content Developer. Your primary responsibility will be to create cutting-edge educational content in the field of artificial intelligence and machine learning. You will play a key role in developing comprehensive courses that cover a wide range of AI/ML domains, starting from foundational machine learning concepts to advanced generative AI and agentic AI systems. This position presents an exciting opportunity for you to influence how the next generation of AI practitioners learn and apply these transformative technologies. In this role, your tasks will include designing and developing comprehensive courses across AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. You will create diverse content formats, including hands-on labs, interactive exercises, assessments, and project-based learning modules. Additionally, you will structure learning paths that logically progress from foundational concepts to advanced AI applications. You will also develop practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks. Ensuring the quality and industry relevance of the content will be a crucial aspect of your role. You will need to ensure that all content reflects current AI/ML best practices and stays aligned with rapidly evolving industry trends. Creating practical, real-world scenarios that simulate actual AI development workflows and challenges will be part of your responsibilities. You will also collaborate with our instructional design team to optimize learning outcomes for complex technical concepts. Furthermore, you will work closely with our platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be essential. Staying updated with the latest AI research, tools, and educational methodologies, as well as integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant, will also be part of your role. For this position, we are looking for candidates with 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Essential qualifications include domain expertise in machine learning algorithms, deep learning architectures, and AI system design. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in natural language processing techniques are also required. Additionally, strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating technical AI/ML content are essential for this role. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or a related field, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and an understanding of accessibility standards in educational content are also desirable.,

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

We are seeking a highly skilled Gen AI/ML Engineer with expertise in embeddings, vector databases, and application development to join our team. The ideal candidate will have a strong background in machine learning, natural language processing, and software development. The Gen AI/ML Engineer will be responsible for designing, implementing, and optimizing AI/ML models or applications, leveraging embeddings and vector databases to build innovative applications. Responsibilities Design, develop, and deploy Gen AI/ML applications with a focus on embeddings and vector databases. Implement and optimize machine learning algorithms for various applications, including natural language processing and computer vision. Develop and maintain scalable applications that leverage AI/ML models and vector databases. Collaborate with data scientists, software engineers, and other stakeholders to integrate AI/ML solutions into existing systems. Conduct research and stay current with the latest advancements in AI/ML, embeddings, and vector databases. Optimize the performance and scalability of AI/ML models and applications. Ensure data quality, integrity, and security throughout the AI/ML lifecycle. Provide technical guidance and support to team members and stakeholders. Qualifications Required Skills: Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field; Master degree preferred. Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases. Strong understanding of machine learning principles, algorithms, and frameworks. Proficiency in programming languages such as Python, Java, or C++. Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with vector databases (e.g., Faiss, Milvus, Pinecone). Familiarity with natural language processing techniques and tools. Experience in developing and deploying scalable applications. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Required Experience & Education: 11-13 years of over all experience in Technology Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field; Master degree preferred. Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases. Strong understanding of machine learning principles, algorithms, and frameworks. Proficiency in programming languages such as Python, Java, or C++. Experience with AI/ML frameworks and libraries. Hands-on experience with vector databases (e.g., Faiss, Milvus). Familiarity with natural language processing techniques and tools. Experience in developing and deploying scalable applications. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Desired Experience: Knowledge of data security and compliance requirements.

What youll do The Docusign AI team is seeking an experienced and driven engineering leader to build and enhance its machine learning platform and infrastructure. This role is crucial for developing industry-leading Document AI products that leverage extensive text and image data, along with advanced computer vision and natural language models. Youll support the entire machine learning lifecycle, from research to scalable deployment, empowering a global team of machine learning engineers and data scientists. Join us in pioneering the Smart Agreement Cloud, simplifying contract processes and providing automated expertise to customers worldwide. This position is part of the Core AI platform team, collaborating with colleagues across the Bay Area, Seattle, and Europe. This position is a people manager role reporting to the Director of Machine Learning Engineering. Responsibility Be the Engineering leader responsible for executing on our product roadmap using agile practices and will champion the culture, processes, and tools required to maintain a frictionless high quality development environment Design distributed systems at scale with enterprise-grade security and reliability Drive testing, releases, and monitoring of machine learning based products Enable team productivity through correct processes, automation, and reviews to enforce high quality and maintainable code across the platform Collaborate with Applied Science and Product teams to establish requirements and timelines for successful product delivery Work collaboratively across different time zones and geographies Develop highly scalable and reliable machine learning infrastructure that can support efficient model inference, training, and data telemetry collection Build vital tools and infrastructure to monitor and understand the performance of complex systems Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law. What you bring Basic 12+ years of combined software development and management experience across at least 3 languages or paradigms, and frameworks or equivalent experience 8+ years of hands on software development or equivalent experience Experience designing/building/consuming RESTful and gRPC based web-services Experience with CI/CD build pipelines, integration testing, unit testing, and test-driven development Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers Experience with highly scalable, high-volume distributed systems and services with top-tier resiliency, availability, and performance Preferred Experience building machine learning products, data pipelines, or machine learning training and deployment systems Experience with deployment and monitoring of machine learning models Ability and desire to move across technology stacks fluently and easily Strong people management skills, including coaching, mentoring, and leading technical teams Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-VP3 ","qualifications":" Basic 12+ years of combined software development and management experience across at least 3 languages or paradigms, and frameworks or equivalent experience 8+ years of hands on software development or equivalent experience Experience designing/building/consuming RESTful and gRPC based web-services Experience with CI/CD build pipelines, integration testing, unit testing, and test-driven development Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers Experience with highly scalable, high-volume distributed systems and services with top-tier resiliency, availability, and performance Preferred Experience building machine learning products, data pipelines, or machine learning training and deployment systems Experience with deployment and monitoring of machine learning models Ability and desire to move across technology stacks fluently and easily Strong people management skills, including coaching, mentoring, and leading technical teams ","responsibilities":" The Docusign AI team is seeking an experienced and driven engineering leader to build and enhance its machine learning platform and infrastructure. This role is crucial for developing industry-leading Document AI products that leverage extensive text and image data, along with advanced computer vision and natural language models. Youll support the entire machine learning lifecycle, from research to scalable deployment, empowering a global team of machine learning engineers and data scientists. Join us in pioneering the Smart Agreement Cloud, simplifying contract processes and providing automated expertise to customers worldwide. This position is part of the Core AI platform team, collaborating with colleagues across the Bay Area, Seattle, and Europe. This position is a people manager role reporting to the Director of Machine Learning Engineering. Responsibility Be the Engineering leader responsible for executing on our product roadmap using agile practices and will champion the culture, processes, and tools required to maintain a frictionless high quality development environment Design distributed systems at scale with enterprise-grade security and reliability Drive testing, releases, and monitoring of machine learning based products Enable team productivity through correct processes, automation, and reviews to enforce high quality and maintainable code across the platform Collaborate with Applied Science and Product teams to establish requirements and timelines for successful product delivery Work collaboratively across different time zones and geographies Develop highly scalable and reliable machine learning infrastructure that can support efficient model inference, training, and data telemetry collection Build vital tools and infrastructure to monitor and understand the performance of complex systems

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Edge AI Data Scientists will be responsible for designing, developing, and validating machine learning modelsparticularly in the domain of computer visionfor deployment on edge devices. This role involves working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. The position requires close collaboration with embedded systems and AI engineers to ensure models are lightweight, efficient, and hardware-compatible. Candidate Requirements Education Bachelor"s or Masters degree in Data Science, Computer Science, or a related field. Experience 3+ years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference. Familiarity with video/image datasets and deep learning model training. Skills Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI. Experience with model optimization techniques (quantization, pruning, etc.) for edge devices. Hands-on experience with deployment tools like TensorFlow Lite, ONNX, or OpenVINO. Strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms (e.g., NVIDIA Jetson, ARM Cortex, Google Coral). Experience in processing data from camera feeds or embedded image sensors. Strong problem-solving skills and ability to work collaboratively with cross-functional teams. Your Profile Responsibilities Develop and train computer vision models tailored for constrained edge environments. Analyze camera and sensor data to extract insights and build vision-based ML pipelines. Optimize model architecture and performance for real-time inference on edge hardware. Validate and benchmark model performance on various embedded platforms. Collaborate with embedded engineers to integrate models into real-world hardware setups. Stay up-to-date with state-of-the-art computer vision and Edge AI advancements. Document models, experiments, and deployment configurations. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and iCa sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Company Overview We are looking for an innovative Lead AI/ML engineer to join our cutting-edge generative AI team. Our team develops a state-of-the-art gen-ai platform that creates domain-aware agents for financial operations, serving both internal processes and customer-facing products. We design and build scalable AI architectures and implement intelligent systems that operate within the complex world of finance. As a core part of Arcesiums technology innovation, we integrate our AI solutions into the firms broader financial technology ecosystem, driving efficiency, accuracy, and insights throughout the platform. What Youll Do: Design, develop, and implement complex AI/ML models and algorithms to solve business challenges Architect and build scalable AI/ML solutions using cloud technologies, particularly AWS Gather requirements, validate architecture, and create/review high-level and low-level designs for AI/ML projects Provide technical consultation on AI/ML technologies and solutions for various projects/products Create and review architectural decisions, ensuring the integration of AI/ML components with existing systems Ensure compliance of non-functional attributes (stability, scalability, performance, etc.) of AI/ML products to internal standards Guide and provide technical training on AI/ML topics, influencing business/technical decisions Own and execute AI/ML projects independently from an architectural standpoint Collaborate with cross-functional teams to integrate AI/ML solutions into production environments What Youll Need: Bachelors/Master s degree in computer science, Machine Learning, AI/ML 5+ years of relevant experience in AI/ML, with a strong background in Python, Java, or similar languages Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Proven track record in designing and implementing end-to-end ML pipelines for enterprise-grade software Strong knowledge of AI/ML algorithms, statistical modeling, and deep learning techniques Familiarity with AWS services, especially those related to AI/ML Experience with Infrastructure as Code tools, particularly Terraform Familiarity with Gen-AI Agentic frameworks like Langgraph, Experience with MLOps practices and tools for model deployment and monitoring Experience building and productionizing Python-based products Familiarity with SRE principles as they apply to AI/ML systems Knowledge of AI ethics and responsible AI practices Experience with natural language processing (NLP) or computer vision projects Contributions to open-source ML projects or research publications

Course5 is looking for AI Engineer to join our dynamic team and embark on a rewarding career journeyDesigning and developing AI algorithms and models to solve specific business problems.Creating and maintaining databases for storing and processing large amounts of data.Developing and deploying machine learning and deep learning models.Implementing and integrating AI solutions with existing systems and software.Analyzing and interpreting complex data sets to extract insights and drive decision-making.Collaborating with cross-functional teams to develop and deploy AI applications.Ensuring the security and privacy of data used in AI applications.Communicating and presenting technical information to non-technical stakeholders.Excellent communication skills & attention to detail.

About Cranes Varsity : Cranes Varsity is a pioneer Technical Training institute turned EdTech Platform offering Technology educational services for over 24 years. Being a trusted partner of over 5000+ reputed Academia, Corporate & Defence Organizations we have successfully trained 1 Lakh+ engineers and placed 70,000+ engineers. Cranes Varsity offers high-impact hands-on technology training to Graduates, Universities, Working Professionals, and the Corporate & Defence sectors. Job Title: Technical Trainer (Faculty) - DATA SCIENCE Position Technical Trainer (Faculty) - DATA SCIENCE Department Technical Training (Software) Experience Minimum 3 Years - 8 Years of EdTech / IT / Corporate / Institutions etc Education - Should have completed Any Degree BE, BTECH, ME, MTECH, MCA Job Description Strong training experience highly preferred in Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, , PySpark, Hands on programming with Cloud computing, Computer Vision software etc. Strong debugging skills Strong communication and interpersonal skills. Must be a self-starter. Training Graduate Engineers, Working professionals, Corporate freshers and Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development Expertise in handling multiple inhouse and corporate trainings with proven track record and quality delivery. Experienced in course content development based on the training requirements. Course material development Experience in developing Hands-on projects and hand-holding large groups of students in the same. Corporate Training : Understand the requirements from client and deliver training as per the corporate clients requirements. Working experiences on embedded systems project development Knowledge on Hardware s Experienced in all phases of product life cycle including requirements, design, coding Managing all aspects of the training cycle i.e. Training need analysis, course development, implementation and delivery, monitoring and evaluation. Ensuring quality delivery to students Establish expectations with project members and provide timely feedback Manage the work of developer resources, mentoring and coaching as needed Provide programming direction to a team of trainers. Roles & Responsibilities Training Graduate Engineers, Working professionals, Corporate freshers & Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development. Desired Skills and Experience Negotiation Skills Selling to Customer Ne edsMotivation for Sales & Target Oriented Building Relationships Desired Candidate Profile Excellent communication skills written and verbal and negotiation skills Knowledge of functioning of academic institutions and placement process The candidate should have good interpersonal skills and networking in the market. Minimum 3 years of Technical Training/Teaching experience preferred Multi-tier architecture knowledge Excellent self-management skills (task lists, status reports, prioritisation) Commitment to quality and timely deliverable Desire to understand the business For

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

Senior AI Engineer Experience: 6 to 8 years Job category: IT Job Type: FullTime Job Location: Pune Number of Positions: 5 Job Description: The ideal candidate will have a strong background in AI. Skills: Python PyTorch TensorFlow SQL Server AWS Responsibilities: Utilizing Large Language Models (LLMs), open-source tools, machine learning, and numerical programming frameworks to build transformative solutions. Possess a strong understanding of AI models, LLMs, and AI-specialized infrastructure, particularly regarding current trends and issues affecting businesses. Experienced in working with open-source models (TensorFlow, PyTorch, Hugging Face Transformers), cloud solutions, internal systems, and external partners to deliver optimal AI solutions. Optimizing existing generative AI models to enhance performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Ensuring best practices in AI problem-solving through thorough analysis, research, continuous experimentation, documentation, rapid prototyping, and extensive testing. Requirements : 6-8 years of hands-on experience in machine learning and deep learning. Strong understanding of Deep Learning algorithms in at least two AI domains (e.g., Computer Vision, NLP/NLG, Time Series Forecasting). Proficient in Python with extensive experience in machine learning frameworks like PyTorch, TensorFlow, and Keras. Adept at modelling problems into Deep Learning frameworks. Experience building, measuring, and iterating on neural network architectures. Experience working with data teams for data collection and organization. Results-oriented with experience in developing pipelines for ML/NLP model monitoring, extraction, indexing, building, and tuning. Skilled in defining validation strategies, pre-processing/feature engineering techniques, and data augmentation pipelines. Expertise in data exploration and visualization to understand data distributions and their impact on model performance. Experience with GPU/CUDA for accelerating deep learning model training. Secondary Skills: Machine Learning Model Testing and Validation: Conduct thorough testing and validation of AI models for reliability, scalability, and security. Technical Mentorship: Ability to provide technical guidance and mentorship to junior team members. Staying Up to Date with AI Advancements: Demonstrated interest in keeping up to date with the latest advancements in NLP, ML, and AI.

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