Freelance Python Developer for AI Model Training | Immediate Start Type: Freelance (Remote) Duration: July 7 – July 31, 2025 Experience: 5+ Years in Python | 1–2 Years with Docker (Basic Knowledge) About the Role Biz-Tech Analytics is hiring a freelance Python developer to support a high-impact AI training project. In this short-term, remote engagement, you’ll work with our AI operations team to evaluate the accuracy and quality of AI-generated code and responses, as well as on analyzing, reviewing, and annotating outputs from large language models (LLMs), helping improve their performance on programming and technical tasks. Responsibilities Reviewing Python and Docker code in AI-generated outputs for correctness, efficiency, and clarity Evaluating AI behavior in code-related tasks and providing structured feedback Identifying edge cases, errors, and ambiguities in model responses Annotating outputs and contributing to model training datasets Paying close attention to detail in code testing and logic Qualifications 5+ years of hands-on experience with Python 1–2 years of basic Docker knowledge Strong eye for detail, especially in reviewing logic, syntax, and functionality Ability to work independently and meet deadlines Availability from early next week (July 7-8) through July 31 Why Join Us: At Biz-Tech Analytics, we’re at the forefront of human-in-the-loop AI. This is a hands-on opportunity to work on cutting-edge model evaluation processes, helping shape how AI systems understand and generate code, without the overhead of full-time development work.
Freelance Python Developer for AI Model Training | Immediate Start Type: Freelance (Remote) Duration: July 7 – July 31, 2025 Experience: 5+ Years in Python | 1–2 Years with Docker (Basic Knowledge) About the Role Biz-Tech Analytics is hiring a software engineer extensively experienced in Python for a freelance opportunity to support a high-impact AI training project. In this short-term, remote engagement, you’ll work with our AI operations team to evaluate the accuracy and quality of AI-generated code and responses, as well as on analyzing, reviewing, and annotating outputs from large language models (LLMs), helping improve their performance on programming and technical tasks. Responsibilities Reviewing Python and Docker code in AI-generated outputs for correctness, efficiency, and clarity Evaluating AI behavior in code-related tasks and providing structured feedback Identifying edge cases, errors, and ambiguities in model responses Annotating outputs and contributing to model training datasets Paying close attention to detail in code testing and logic Qualifications 5+ years of extensive experience in Python 1–2 years of basic Docker knowledge Strong eye for detail, especially in reviewing logic, syntax, and functionality Ability to work independently and meet deadlines Availability from this week (July 9-10) through July 31 Why Join Us: At Biz-Tech Analytics, we’re at the forefront of human-in-the-loop AI. This is a hands-on opportunity to work on cutting-edge model evaluation processes, helping shape how AI systems understand and generate code, without the overhead of full-time development work.
About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.
About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for Junior Machine Learning Engineers (Computer Vision) who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 We will only be looking at responses on the Google form. Responsibilities As a Junior ML Engineer, you’ll work alongside senior engineers and contribute to the design, development, and deployment of Computer Vision models that power AI automation solutions. Assist in developing and deploying Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections. Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows. Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed. Collaborate with senior engineers on model deployment to edge/cloud environments. Contribute to researching and implementing new Computer Vision techniques (ViTs, SAM, Grounding DINO, etc.). Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems. Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery. Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute. 0–2 years of experience (internships or projects) working on Machine Learning or Computer Vision. Strong programming skills in Python. Hands-on exposure to PyTorch or TensorFlow, OpenCV, and relevant CV libraries through internships, academic projects, or competitions. Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques. A problem-solving mindset with a strong willingness to learn and take ownership of tasks. Ability to work in a fast-paced, collaborative environment Good communication and documentation skills Good to have Experience with vision-based automation in the manufacturing industry. Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.
About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog We will only be looking at responses on the Google form. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.
About Biz-Tech Analytics At Biz-Tech Analytics, the focus is on developing production-grade computer vision and AI-driven automation solutions that turn complex data into actionable insights through scalable AI infrastructure. Currently, we are in search of a Senior Machine Learning Engineer to lead the design, development, and deployment of Computer Vision solutions in production environments. Responsibilities As a Senior ML Engineer at Biz-Tech Analytics, you will be responsible for leading the development and deployment of advanced computer vision systems that drive AI automation across various operational workflows. Your role will involve overseeing the entire solution lifecycle, from problem scoping and model development to deployment and performance monitoring. You will also collaborate with a team of ML engineers to: - Lead the design and deployment of computer vision models for tasks such as object detection, tracking, human activity analysis, and visual quality control. - Build and optimize image and video data pipelines to ensure a robust data flow from sensors, cameras, and other sources. - Architect real-time vision systems with a focus on latency, accuracy, and scalability for edge and cloud environments. - Mentor and guide junior ML engineers, promoting a culture of high technical standards and collaborative problem-solving. - Stay updated on the latest computer vision research and integrate new models into existing workflows. - Collaborate with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications To be considered for this role, you should possess: - At least 5+ years of experience in Machine Learning with a focus on Computer Vision projects deployed in production environments and optimizing models for runtime efficiency. - Proficiency in Python and demonstrated expertise in computer vision applications such as object detection, facial recognition, defect detection, and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. - A solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. - Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. - The ability to thrive in an agile, startup-like environment that values problem-solving and ownership. - Excellent communication skills to effectively communicate complex technical concepts and develop actionable project plans. Good to Have Additionally, experience in the following areas would be beneficial: - Vision-based automation in the manufacturing industry. - Exposure to Generative AI workflows. - Familiarity with Large Language Models (LLMs) and building multi-modal AI pipelines. - Understanding of AI governance, data compliance, and security protocols. Why Biz-Tech Analytics Joining Biz-Tech Analytics means: - Tackling challenging AI problems that require innovative solutions. - Leading end-to-end AI projects with complete ownership. - Collaborating with a small, high-performing team where your contributions make a visible impact. - Enjoying a flexible, entrepreneurial work culture with opportunities for leadership and professional growth.,
About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog We will only be looking at responses on the Google form. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.
About Biz-Tech Analytics At Biz-Tech Analytics, we specialize in developing production-grade computer vision and AI-driven automation solutions. Our focus is on transforming complex data into actionable insights through scalable AI infrastructure. We are currently seeking Junior Machine Learning Engineers (Computer Vision) who are enthusiastic about tackling real-world challenges, building scalable AI pipelines, and evolving into future technical leaders. Responsibilities As a Junior Machine Learning Engineer, you will collaborate closely with senior engineers to contribute to the design, development, and deployment of Computer Vision models that drive AI automation solutions. Your responsibilities will include assisting in the development and deployment of Computer Vision models for various applications such as object detection, tracking, segmentation, and visual inspections. Additionally, you will be involved in working on image and video data pipelines, encompassing tasks such as data preprocessing, augmentation, and annotation workflows. You will also play a crucial role in model training, evaluation, and optimization to ensure that the models meet performance benchmarks for accuracy and speed. Furthermore, you will collaborate with senior engineers on deploying models to edge/cloud environments and be involved in researching and implementing new Computer Vision techniques. Participation in code reviews, internal discussions, and brainstorming sessions will provide you with exposure to best practices for developing production-grade AI systems. Taking ownership of smaller modules and tasks within larger AI solution projects will be essential to ensure timely and high-quality project delivery. Qualifications The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a reputable institution. A minimum of 2 years of experience (including internships or projects) working with Machine Learning or Computer Vision is required. Proficiency in Python programming is essential, along with hands-on experience with PyTorch or TensorFlow, OpenCV, and relevant Computer Vision libraries gained through internships, academic projects, or competitions. A strong understanding of Computer Vision fundamentals such as object detection, image segmentation, tracking, and image processing is necessary. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques is also expected. The candidate should possess a problem-solving mindset, a keen willingness to learn, and the ability to take ownership of tasks. The role requires the ability to work effectively in a fast-paced, collaborative environment, along with good communication and documentation skills. Good to Have Experience with vision-based automation in the manufacturing industry, exposure to Generative AI workflows, and familiarity with Large Language Models (LLMs) and building multi-modal AI pipelines are advantageous. An understanding of AI governance, data compliance, and security protocols would also be beneficial. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Join us at Biz-Tech Analytics to work on challenging AI problems that require innovative solutions rather than routine approaches. You will have the opportunity to lead end-to-end AI projects with full ownership and collaborate with a small, high-performing team where your contributions are visible and impactful. Our flexible, entrepreneurial work culture provides opportunities for leadership and growth.,
At Biz-Tech Analytics, we partner with global enterprises, AI labs, and industrial businesses to help them build frontier LLMs and apply AI at scale. From data to deployment, we deliver specialised services including human-in-the-loop annotation, RLHF, and custom dataset creation. With a network of 500+ vetted developers, STEM professionals, linguists, and medical experts, we’ve supported leading global platforms by enhancing complex AI models and providing precision feedback at scale. Fill the form to apply: https://forms.gle/wzjBx3BifybJjCDC6 Responsibilities We are hiring a Data Annotation Team Lead to manage both regular and specialised annotation projects. The role requires hands-on experience with annotation tools, strong leadership skills, and a sharp eye for quality assurance. You will oversee a team of annotators, set standards for accuracy, and ensure timely project delivery. Key responsibilities: Lead, mentor, and manage a team of data annotators on image, video, text, and specialised projects Conduct regular quality checks to maintain high annotation accuracy Train team members on tools, processes, and specialised annotation tasks Collaborate with project managers to plan and deliver on client requirements Identify process improvements to increase efficiency and consistency Handle escalations and ensure deadlines are met without compromising quality Qualifications 2–5 years of experience in data annotation (image, video, text, audio, or specialised domains like coding, medical, etc.) Prior experience in leading or managing teams Strong understanding of annotation tools Proven track record of maintaining quality standards and conducting QC checks Excellent communication and organisational skills Ability to work from our Delhi office (in-person role) Good to Have Experience in specialised annotation domains (coding, medical, etc.) Exposure to AI/ML workflows and data pipelines Fill the form to apply: https://forms.gle/wzjBx3BifybJjCDC6