We are looking for a creative, data-driven, and results-oriented Digital Marketing Executive cum Content Creator to join our marketing team. The ideal candidate will be responsible for developing and implementing digital marketing campaigns across various platforms while creating high-quality content that aligns with our brand voice and engages our target audience. Role & responsibilities: Plan, execute, and optimize digital campaigns across channels including Google Ads, Facebook, Instagram, LinkedIn, and email marketing. Monitor campaign performance and prepare analytical reports. Perform SEO/SEM activities to improve website traffic and search engine rankings. Collaborate with external agencies or vendors when needed. Develop original and engaging content for blogs, social media, website, email newsletters, and video scripts. Create and manage a content calendar aligned with product launches, campaigns, and seasonal trends. Design basic creatives for social media using tools like Canva, Adobe Photoshop, or Illustrator. Produce or coordinate basic video content and reels for brand promotion. Stay updated with content and digital marketing trends to keep the brand relevant and engaging. Preferred candidate profile: Bachelor's/Master's degree in Marketing, Communications or a related field. Proven experience in digital marketing and content creation. Hands-on experience with tools such as Google Analytics, Google Ads, Meta Business Suite and SEO platforms. Strong writing, editing, storytelling and video editing skills. Ability to work independently and collaboratively in a fast-paced environment. Perks and Benefits: Provident Fund (PF) Performance Bonus Health Insurance Complimentary Meals Trips & Treks Learning & Development Support

We are seeking a highly capable Data Scientist cum Machine Learning Engineer to support the design, development, and deployment of advanced AI-driven solutions for real-time defect prediction and closed-loop control in a manufacturing environment. The role involves building robust data pipelines, developing high-accuracy ML models, and integrating those models into real-time control systems for automated corrective actions. Role & responsibilities: Validate and maintain the correct flow of data from InfluxDB/CDL to Smartbox/Databricks , ensuring data consistency and readiness for modeling. Develop and support data pipelines for both batch and real-time processing, including ad-hoc data extraction and corrections. Build and deploy three separate machine learning models to predict three distinct defect types using historical time-series data, aiming to forecast outcomes for the next 5 minutes. Ensure model performance meets predefined benchmarks: Accuracy 95% Precision & Recall 80% Generate interpretable insights through feature importance analysis. Apply advanced techniques such as artificial sampling , feature engineering , and dimensionality reduction to enhance model performance and reliability. Deploy models on Smartbox edge devices and integrate outputs with manufacturing PLCs to suggest setpoint adjustments aimed at preventing defects. Design and implement an output pipeline that shares model recommendations with the correct PLC tags in real-time. Develop a robust automated retraining pipeline in the cloud to handle model drift by comparing predicted recommendations against actual production centerlines. Collaborate closely with cross-functional teams including data scientists, automation engineers, and operations personnel. Preferred candidate profile: Bachelors in Computer Science, Data Science or a related discipline. Strong expertise in machine learning , particularly time-series forecasting and classification models. Proficiency in Python and relevant ML libraries (e.g., scikit-learn, pandas, NumPy, PyTorch, or TensorFlow). Solid experience in data engineering , including ETL pipeline development and data validation. Familiarity with platforms and tools like Databricks , InfluxDB , and Smartbox . Understanding of PLC communication protocols and real-time industrial control systems. Experience with model deployment on edge devices and cloud platforms (AWS, Azure, or GCP). Working knowledge of MLOps , model monitoring , and automated retraining mechanisms .

We are seeking a talented and creative 3D Artist / Developer to design and develop lifelike 3D talking avatars for our digital products. The ideal candidate will have experience with facial animation, lip-syncing, character rigging, and integration with voice/audio inputs. You will work closely with product managers, designers, and developers to deliver avatars that can speak, emote, and engage users in real-time or pre-recorded scenarios. Role & responsibilities: Design and develop 3D avatars with realistic or stylized human features. Implement facial rigging and animation systems for lip-sync and expression mapping. Integrate voice inputs (TTS or recorded) with animated avatars for real-time or scripted speech. Optimize avatars for different platforms (web, mobile, Unity/Unreal environments). Collaborate with voice and motion artists as needed to enhance realism and engagement. Ensure performance efficiency and minimal latency during avatar interactions. Troubleshoot and refine avatar interactions based on feedback. Preferred candidate profile: Proven experience with 3D modeling and animation tools (e.g., Blender, Maya, 3ds Max). Strong experience in character rigging, skinning, and morph targets for facial animation. Experience with lip-sync tools and plugins (e.g., Papagayo, Rhubarb, Faceware). Familiarity with game engines (Unity, Unreal Engine) or WebGL-based avatar rendering (e.g., Three.js, Babylon.js). Experience integrating avatars with TTS APIs or speech input (Google, Amazon Polly, ElevenLabs etc.). Understanding of real-time rendering, lighting, and performance optimization. Strong portfolio demonstrating relevant work. Knowledge of AR/VR pipelines or metaverse environments. Familiarity with AI-generated avatars or animation using ML models (e.g., NVIDIA Audio2Face). Scripting knowledge (Python, C#, or JavaScript for animation pipelines).

We are looking for an experienced Cognex Vision Engineer to design, develop, and deploy machine vision solutions using Cognex platforms . The ideal candidate will have a strong background in vision system integration , image processing, and fine-tuning vision tools (including OCR, pattern matching, and defect detection) for use in industrial or production environments. Role & responsibilities: Develop and configure Cognex-based vision applications using platforms like In-Sight Explorer , VisionPro , or Cognex Designer . Set up and fine-tune OCR , pattern matching , edge detection , and measurement tools . Calibrate vision systems and adjust lighting, lenses, and filters for optimal inspection results. Integrate vision systems with PLC, SCADA , and factory automation systems . Work closely with production and QA teams to ensure high system performance and reliability. Debug and troubleshoot vision issues in real-time production scenarios. Create and maintain technical documentation of vision solutions, configurations, and performance data. Provide support and training to on-site staff or customer teams as needed. Preferred candidate profile: Proven hands-on experience with Cognex OCR tools, especially OCRMax. Solid understanding of machine vision principles, image processing, and industrial lighting techniques. Strong ability to interpret and fine-tune camera output for optimal OCR results. Experience working with factory automation systems and industrial communication protocols. Excellent problem-solving skills and attention to detail. Strong communication and documentation skills.