About KnowDis KnowDis is an AI-driven company based in Delhi dedicated to transforming e-commerce and banking sectors through cutting-edge technology. With expertise in artificial intelligence, machine learning, and large language models (LLMs), we develop innovative solutions that enhance operational efficiency and drive growth. In e-commerce, we build advanced systems for product search optimization, leveraging LLMs to improve natural language queries and search accuracy. Our team includes B.Tech and Phds from various IITs including Delhi, Guwahati, BHU. Across both industries, we are committed to delivering intelligent, scalable AI solutions that shape the future of business and finance. About the Role At KnowDis, you will move the world forward. Every day, we create innovative machine-learning solutions to help our clients across e-commerce, healthcare, and finance domains to solve their problems. We are a group of highly curious professionals dedicated to discovering and implementing new deep learning models. We work at the intersection of machine learning, statistical analysis, deep learning, natural language processing, and computer vis ion.We bring out the best in each other, and together, we work towards the vision of using this expertise to help society and make the world a better place. As a data scientist, you should be passionate about natural language processing, computer vision, statistical sampling, and analytical methods. You will develop machine learning systems, analyze performance, and refine models through hyperparameter tuning and experimentation to optimize results. You will also improve algorithm accuracy by iterating based on performance metrics and fee dback.To succeed in this role, you need exceptional skills in statistics and programming. You will be part of an agile team and will be collaborating with engineers, data engineers, and fellow data scientists. Job Responsibilities Develop and Implement Machine Learning Models: Design, build, and deploy machine learning models and algorithms for various applications, ensuring they are robust and scalable for production use. Data Exploration and Preparation: Collect, clean, and preprocess large datasets, including feature engineering and data transformation, to create a strong foundation for modeling. Model Training and Optimization: Train models using state-of-the-art techniques, optimize performance through hyperparameter tuning, and conduct thorough experimentation to achieve desired results. Analyze and Evaluate Performance: Use appropriate metrics to analyze model accuracy, precision, recall, and other relevant performance indicators, and iteratively improve models based on findings. Experimentation and Research: Stay updated on the latest machine learning and data science advancements, and run experiments to identify potential new techniques and approaches for business challenges. Requirements for the job Bachelor’s/Master's/Ph.D. in Computer Science, Mathematics, Statistics, or equivalent field. Minimum of 1 to 2 years of experience in ML and AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch, TensorFlow, Scikit-learn, and others. Solid understanding of statistical analysis, data modeling, and algorithmic techniques for various ML tasks. Experience in Natural Language Processing (NLP) and/or Computer Vision (CV) is required; any of the followingis preferred: NLP: Strong understanding of RNNs and transformer-based architectures for tasks such as chatbots/dialogue systems, machine translation, named entity recognition, recommendation systems, and retrieval systems. Computer Vision: Hands-on experience with cutting-edge Vision Language Models (VLMs) like ViT, CLIP, Swin Transformers, DINO, GroundedSAM, SAM, YOLOv7/v8, and multimodal architectures like BLIP-2 and GIT-2. Skilled in Visual Question Answering (VQA), image classification, search, and object detection, with expertise in advanced techniques for complex vision and multimodal tasks. Practical experience in building production-ready systems using deployment frameworks such as FastAPI, NVIDIA Triton Inference Server, TorchServe, or TensorFlow. SELECTION PROCESS: Intereste d Candidate s are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further.Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf on KnowDis Candidates selected after the screening test will be interviewed by Knowdis.ai Show more Show less

Role Description: As an AI Engineer at Knowdis.ai, you will be an integral part of our AI development team, working on challenging projects that leverage the latest advancements in Natural Language Processing (NLP) and Reinforcement Learning. You will be responsible for designing, implementing, and optimizing AI models that drive our core products, focusing on product recommendation systems, marketplaces, and translation systems. This role offers the opportunity to work with a team of highly skilled professionals in a dynamic and collaborative environment. Key Responsibilities: Develop and implement state-of-the-art AI models for product recommendation systems, marketplaces, and translation systems. Design and optimize algorithms for Natural Language Processing (NLP) and Reinforcement Learning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research to stay up-to-date with the latest advancements in AI and integrate relevant findings into ongoing projects. Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy of AI models. Deploy and maintain AI models in production environments, ensuring scalability and reliability. Participate in code reviews, provide constructive feedback, and ensure best practices in AI development are followed. Document technical designs, experiments, and results for internal and external stakeholders. Qualifications and Experience: Bachelor's degree in Computer Science or a related field from a Tier-1 Institute. 2-5 years of hands-on experience in AI/ML development, with a focus on NLP or Reinforcement Learning. Strong proficiency in programming languages such as Python, and experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven experience in developing and deploying AI models in real-world applications, particularly in product recommendation systems, marketplaces, or translation systems. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with data pre-processing, feature extraction, and model evaluation techniques. Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders. Strong problem-solving skills, attention to detail, and a passion for innovation in AI technology Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, GCP, Azure) and scalable AI/ML infrastructure. Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya . Only applications received through this posting will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya Candidates selected after the Jigya screening rounds will be interviewed by KnowDis Show more Show less

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client. Candidates selected after the screening test will be interviewed by the Client Show more Show less

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client. Candidates selected after the screening test will be interviewed by the Client

About KnowDis KnowDis AI is a research-driven startup building cutting-edge solutions in Natural Language Processing (NLP) and Generative AI . Our AI tools are designed to automate and enhance business processes such as content generation, information retrieval, and document understanding. We work with clients across industries like e-commerce , fashion , banking , and pharma , helping them unlock value through enterprise-ready AI solutions. Role Overview We are seeking a proactive and results-driven AI SaaS Sales Specialist to lead the go-to-market efforts for our AI offerings. In this role, you’ll be responsible for driving adoption of our products, managing the sales pipeline, building client relationships, and identifying new growth opportunities across sectors. If you're excited about the future of AI and want to play a key role in taking impactful technology to market, this is the role for you. Key Responsibilities Identify and pursue B2B sales opportunities across sectors such as e-commerce,banking, fashion, and pharma. Own the entire sales funnel—from lead generation and outreach to closing deals. Conduct discovery calls, product demos, and value-based pitches tailored to client needs. Develop a deep understanding of client workflows and demonstrate how our AI solutions can add tangible value. Work closely with product and tech teams to align customer feedback with roadmap planning. Represent KnowDis at events, virtual forums, and networking platforms to build visibility and partnerships. Maintain up-to-date records in CRM and provide regular reports on pipeline status and targets. Qualifications 2–5 years of experience in B2B tech or SaaS sales (experience with AI, NLP, or enterprise software is a plus). Proven ability to independently manage and close mid-to-large size deals. Excellent communication and presentation skills, with the ability to simplify technical concepts. Self-starter mindset with a bias for action and ownership. Experience working with CRM and sales tools (e.g., HubSpot, Zoho, LinkedIn Sales Navigator). Nice to Have Familiarity with AI/ML/NLP concepts and trends. Experience selling into digital commerce, banking, fashion and pharma domains. Previous experience in a startup or fast-paced tech environment. What We Offer Opportunity to lead sales for a growing suite of AI products. High ownership and direct collaboration with product and leadership teams. Fast-track career growth and a chance to be part of a high-impact tech journey. To Apply Email your resume and a short note about your interest in the role to hr@knowdis.ai