Keras Jobs in Noida

Gen AI Engineer Location: Noida Experience: 2+ years Openings: 2 Roles & Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Required Skills: 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.

Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field

UVM and GenAI Engineer - Automatic Testbench Generation Job Summary: We are seeking an experienced and skilled UVM and GenAI Engineer to join our team. The successful candidate will be responsible for developing innovative solutions using Generative AI to automatically generate testbenches for complex digital designs. The ideal candidate will have a strong background in UVM, digital design verification, and AI/ML. Key Responsibilities: Develop and implement Generative AI algorithms to automatically generate testbenches for digital designs. Collaborate with the design and verification teams to identify areas where AI-generated testbenches can improve verification efficiency and effectiveness. Design, develop, and maintain UVM-based testbenches for complex digital designs. Work with cross-functional teams to integrate AI-generated testbenches into the existing verification flow. Develop and maintain scripts and tools to automate the testbench generation process. Stay up-to-date with the latest developments in UVM, GenAI, and digital design verification. Participate in code reviews and contribute to the improvement of the team's verification methodologies. Requirements: Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field. 6+ years of experience in digital design verification, with a focus on UVM-based testbenches. Strong knowledge of UVM, SystemVerilog, and digital design principles. Experience with AI/ML frameworks and tools, such as PyTorch, TensorFlow, or Keras. Programming skills in languages such as Python, C++, or SystemVerilog. Experience with version control systems, such as Git. Strong problem-solving skills, with the ability to work independently and collaboratively. Nice to Have: Experience with Generative AI algorithms and techniques, such as GANs, VAEs, or Transformers. Knowledge of digital design languages, such as VHDL or Verilog. Experience with cloud-based AI platforms, such as AWS SageMaker or Google Cloud AI Platform. Familiarity with Agile development methodologies. What We Offer: Competitive salary and benefits package. Opportunity to work on cutting-edge AI technology and digital design verification. Collaborative and dynamic work environment. Professional development and growth opportunities. Flexible working hours and remote work options. If you are a motivated and talented individual with a passion for UVM, GenAI, and digital design verification, please submit your resume and a cover letter explaining why you are the ideal candidate for this role. Qualification : Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field.

Deputy General Manager Talent Acquisition (TA Lead) Department: Human Resources Location: Noida Experience: 12 15 Years Business Unit: Avaada Energy Pvt. Ltd. About Avaada Energy Avaada Energy is the flagship entity of the Avaada Group, spearheading India s shift to a cleaner and more sustainable energy future. With a robust presence across solar energy, green hydrogen, and sustainable infrastructure, we are committed to innovation, scalability, and creating large-scale impact through renewable energy solutions. Role Overview We are looking for a strategic and seasoned Talent Acquisition (TA) Leader to head our recruitment function at the Deputy General Manager level. This is a critical leadership role responsible for defining, driving, and scaling recruitment strategies that align with Avaada Energy s aggressive growth plans. The ideal candidate will bring strong expertise in project-based hiring, corporate and leadership recruitment, and a deep understanding of the renewable energy landscape. This is a high-impact role with direct engagement across CXOs, business heads, and project teams. Key Responsibilities Talent Acquisition Strategy & Workforce Planning Develop and execute annual and quarterly manpower plans aligned with the organization s strategic goals. Forecast and manage hiring needs across corporate, site, and EPC functions including engineering, procurement, project management, regulatory, and finance. Build strong talent pipelines for permanent, contractual, and niche technical roles. Conduct competitive benchmarking and track industry hiring trends to proactively identify top talent. Partner with business heads and HRBPs to define workforce metrics and priorities. Leadership Hiring & Stakeholder Management Act as the single point of contact for all recruitment activities across Avaada Energy. Partner with CXOs and senior leadership to drive closure of critical and executive-level roles. Provide strategic counsel to senior stakeholders on hiring best practices, diversity goals, and talent market competitiveness. Process Excellence & Recruitment Operations Oversee end-to-end recruitment lifecycle: job requisition, sourcing, interviewing, offer negotiation, and onboarding transition. Ensure all job postings are up to date across internal systems (Darwinbox, career portal). Establish and track key recruitment SLAs, conversion metrics, and candidate experience benchmarks. Maintain full compliance with company policies, background verification standards, and DEI guidelines. Team Leadership & Capability Building Lead and mentor a high-performing team of recruiters and coordinators across corporate and site locations. Set team KRAs and performance goals, foster a culture of collaboration, and encourage continuous learning. Upskill the TA team in digital hiring tools, AI-enabled recruitment, and employer branding practices. Employer Branding & Campus Hiring Drive campus recruitment for engineering graduates (GETs), diploma trainees, and interns. Collaborate with branding teams to run targeted talent campaigns (job fairs, social media, referral drives). Forge strategic partnerships with placement cells, training platforms, and third-party hiring agencies. Recruitment Analytics & Reporting Publish weekly/monthly dashboards and hiring reports for leadership and board updates. Track and analyze key metrics: TAT, source mix, offer-to-join ratio, cost-per-hire, early attrition, etc. Maintain a centralized repository of interview questions and assessment tools to support standardization and process automation. Ensure recruitment ROI through productivity tracking and continuous process optimization. Required Qualifications & Skills 12 15 years of progressive experience in Talent Acquisition, with at least 3 5 years in a leadership role. Experience in large-scale hiring within EPC, Energy, Infrastructure, or Engineering domains is preferred. Strong track record of executive hiring, project-based recruitment, and talent strategy development. Exceptional interpersonal and stakeholder management skills, with experience working with CXO-level executives. Proficient in ATS platforms (preferably Darwinbox), MS Office, and data-driven recruitment analytics. Demonstrated ability to lead and build high-performing teams. Preferred Education Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred). Opportunity to lead TA for one of India s most ambitious clean energy organizations. High-impact role with exposure to leadership and strategic workforce planning. Collaborative work environment driven by innovation, sustainability, and purpose. Freedom to drive initiatives, build scalable systems, and shape Avaada s future talent landscape. Qualification : Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred)