9814 Tensorflow Jobs - Page 38

WE ARE HIRE MERNSTACK DEVELOPER Location - Noida Sec 63 Experience- 2 yrs Notice Period- Immediate Joiner Interview Mode- Face to Face Note: Only Immediate joiners can Apply Job Description- Develop and maintain full-stack web applications using MongoDB, Express.js, React.js, and Node.js (MERN). Deploy and manage live applications on cloud platforms like AWS (EC2, S3, RDS) , Hostinger , and cPanel . Configure server environments , SSL , and domain management for production deployments. Implement RESTful APIs and integrate third-party services/APIs. Optimize application performance and ensure scalability and security . Work with Git , CI/CD pipelines , and Docker for version control and deployment automation. Design and integrate AI-powered features , such as chatbots, recommendation engines, or NLP components. Use Python, TensorFlow, or Open AI APIs for AI integrations in web applications. Perform debugging, troubleshooting, and testing across development and production environments. Collaborate with cross-functional teams for agile development , feature planning, and UI/UX improvements. Job Types: Full-time, Permanent Pay: Up to ₹40,000.00 per month Work Location: In person

Job Description Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Responsibilities Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills.

We are seeking a skilled and experienced Python Developer with a strong background in Django , FastAPI , and hands-on experience in AI integration and Docker . You will be responsible for building and maintaining high-performance backend systems, developing RESTful APIs, and implementing AI-driven features while ensuring containerized deployment using Docker. Key Responsibilities: Develop, maintain, and enhance backend services using Django and FastAPI . Design and implement scalable REST APIs and microservices. Integrate AI/ML models into backend systems using Python. Collaborate with data scientists to deploy AI-powered features. Write clean, efficient, and well-documented code. Manage containerized applications using Docker . Ensure security, performance, and scalability of backend systems. Participate in code reviews, testing, and debugging. Collaborate with front-end developers, DevOps, and product teams. Required Skills & Qualifications: 3+ years of professional experience with Python . Strong hands-on experience with Django and FastAPI frameworks. Solid understanding of RESTful API design principles. Good knowledge and practical experience with AI/ML concepts and Python libraries (e.g., TensorFlow, PyTorch, scikit-learn, OpenAI APIs, etc.). Proficiency with Docker and containerized application development. Experience working with PostgreSQL, MySQL, or other relational databases. Familiarity with Git, CI/CD pipelines, and Linux-based environments. Ability to write unit tests and follow software development best practices. Strong problem-solving skills and ability to work in a team-oriented environment. Preferred Qualifications: Experience with cloud platforms like AWS, GCP, or Azure. Exposure to Kubernetes or Docker Swarm. Knowledge of message brokers (e.g., RabbitMQ, Kafka). Experience with asynchronous programming using asyncio. Perks & Benefits: Competitive salary and performance-based bonuses Flexible work hours and remote options Opportunity to work on cutting-edge AI solutions Health benefits and learning allowances Job Types: Full-time, Permanent Pay: ₹240,000.00 - ₹360,000.00 per year Benefits: Health insurance Leave encashment Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Joining bonus Performance bonus Yearly bonus Work Location: In person Expected Start Date: 01/08/2025

Job Brief We are seeking a highly skilled and visionary AI Lead/Architect to design, implement, and lead AI/ML systems from problem definition and data strategy to production deployment for real-world autonomous systems. The ideal candidate will bring a strong foundation in Machine Learning, Deep Learning, and AI architecture, combined with leadership capabilities to drive AI excellence within cross-functional teams. Key Responsibilities AI Strategy & Architecture Architect and drive end-to-end AI solutions for autonomous platforms including computer vision, sensor fusion, NLP, and generative AI. Design scalable and modular AI pipelines and microservices using modern ML Ops frameworks (Docker, Kubernetes, Azure ML, etc.). Model Development Lead the development and deployment of ML/DL models including CNNs, RNNs, Transformers, LLMs, and federated learning architectures. Build and fine-tune models for multi-modal tasks such as image/video understanding, speech, and document intelligence. Team Leadership Manage a team of AI/ML engineers, and data scientists. Provide mentorship and technical oversight. Collaborate with software, robotics, and product teams to align AI goals with business outcomes. Innovation & R&D Drive R&D initiatives in areas like Explainable AI, Federated Learning, GenAI (LLMs), and Reinforcement Learning for real-time control systems. Evaluate and implement state-of-the-art research to maintain a competitive technological edge. Project Execution Lead AI project delivery including PoCs, pilots, and full-scale deployments for internal products and external clients. Ensure adherence to Responsible AI principles, performance benchmarks, and ethical AI practices. Required Skills and Qualifications • 8–10 years of experience in AI/ML, with at least 3 years in a leadership or architectural role. • Strong expertise in: o Deep Learning frameworks (TensorFlow, PyTorch, Keras) o Computer Vision and/or NLP (LayoutLM, LLMs like GPT-4, BERT) o Cloud ML Platforms (Azure, AWS) o MLOps: Docker, Kubernetes, CI/CD pipelines • Experience with Generative AI, Prompt Engineering, and Retrieval-Augmented Generation (RAG) • Hands-on with Python and libraries such as Scikit-learn, NumPy, Pandas, OpenCV, HuggingFace Preferred Skills • Exposure to Federated Learning, Explainable AI, or Reinforcement Learning • Experience working with sensor data and embedded ML for edge computing • Research exposure (PhD or academic contributions in AI/ML) Soft Skills • Strong leadership and communication skills • Ability to translate complex research into practical applications • Proven experience working in agile and cross-disciplinary teams Why RoshAi? • Work at the forefront of India’s autonomous technology revolution. • Opportunity to impact real-world systems and products in a fast-scaling startup. • Collaborate with top AI minds and deep tech leaders. • Competitive compensation, ESOPs, and flexible work environment. Join RoshAi and be part of a forward-thinking company that values innovation, development, and your well-being.

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You'll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master's or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems.

Overview: We are seeking a highly skilled AI Business Analyst to join our AI and Digital Innovation team. This role is pivotal in bridging the gap between business needs and AI-driven solutions. The ideal candidate will have a strong understanding of AI technologies, business processes, and data analysis. You will play a key role in identifying opportunities for AI integration, defining project requirements, and ensuring successful implementation of AI solutions to drive business value. Key Responsibilities: · Collaborate with stakeholders to identify business needs and opportunities for AI solutions. · Define project requirements, scope, and objectives in collaboration with cross-functional teams. · Conduct data analysis to support AI project planning and decision-making. · Translate business requirements into technical specifications for AI/ML teams. · Evaluate and recommend AI tools and technologies to meet business needs. · Develop and maintain documentation for AI projects, including business cases, project plans, and user guides. · Monitor and report on the performance of AI solutions, providing insights and recommendations for improvement. · Ensure compliance with ethical standards and regulatory requirements in AI projects. Qualifications and Experience: · Bachelor’s or Master’s degree in Business Administration, Computer Science, AI, or a related field. · 5+ years of experience in business analysis, data analysis, or a related field. · Strong understanding of AI technologies and their applications in business. · Experience with data analysis tools and techniques. · Proven ability to translate business requirements into technical specifications. · Excellent communication and interpersonal skills. · Strong problem-solving and analytical skills. · Ability to work independently and as part of a team. Preferred Qualifications: · Experience in AI/ML project management. · Knowledge of AI ethics and regulatory requirements. · Familiarity with AI tools and platforms such as TensorFlow, PyTorch, or similar. · Experience in a specific industry such as healthcare, finance, or manufacturing. Personal Skills: · Strong analytical and problem-solving mindset. · Self-starter with a passion for innovation and experimentation. · Comfortable working in a fast-paced, evolving environment. · Strong organizational and time management skills. · Committed to maintaining confidentiality and ethical AI practices.

Job Title: Senior Python Developer – AI/ML Document Automation Location: Hyderabad Work Mode: Hybrid Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Python Developer with deep expertise in AI/ML and document automation . The ideal candidate will lead the design and development of intelligent systems for extracting and processing structured and unstructured data from documents such as invoices, receipts, contracts, and PDFs. This role involves both hands-on coding and architectural contributions to scalable automation platforms. Roles and Responsibilities: Design and develop modular Python applications for document parsing and intelligent automation. Build and optimize ML/NLP pipelines for tasks like Named Entity Recognition (NER), classification, and layout-aware data extraction. Integrate rule-based and AI-driven techniques (e.g., regex, spaCy, PyMuPDF, Tesseract) to handle diverse document formats. Develop and deploy models via REST APIs using FastAPI or Flask, and containerize with Docker. Collaborate with cross-functional teams to define automation goals and data strategies. Conduct code reviews, mentor junior developers, and uphold best coding practices. Monitor model performance and implement feedback mechanisms for continuous improvement. Maintain thorough documentation of workflows, metrics, and architectural decisions. Mandatory Skills: Expert in Python (OOP, asynchronous programming, modular design). Strong foundation in machine learning algorithms and natural language processing techniques. Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers. Proficient in developing REST APIs using FastAPI or Flask. Experience in PDF/text extraction using PyMuPDF, Tesseract, or similar tools. Skilled in regex-based extraction and rule-based NER. Familiar with Git, Docker, and any major cloud platform (AWS, GCP, or Azure). Exposure to MLOps tools such as MLflow, Airflow, or LangChain.

Location: Hyderabad Work Mode: Hybrid (2–3 days on-site/week) Experience Required: Minimum 3+ Years Salary Range: ₹6 – ₹10 LPA (based on experience and skill set) Disclaimer – Please Read Before You Apply We are not accepting applications from freshers or freelance-only profiles . This role requires prior corporate experience (minimum 2 years) with a clear understanding of how to automate contact extraction workflows using Python and NLP. This role goes beyond writing Python scripts—it’s about applying NLP (Natural Language Processing) in real-world scenarios where data isn’t clean or structured. We are looking for someone who can extract contact information like names, emails, phone numbers, and company details from documents such as PDFs, resumes, scanned images, and emails —even when the formats vary or the layout is messy. You should be able to: Understand the structure and flow of unstructured text Apply NLP concepts to locate and extract relevant contact details Build logic to automate this extraction across different document types Think critically and creatively to handle inconsistent data inputs You don’t need to rely on pre-built solutions—we value your ability to reason through the problem and implement your own approach . If you're passionate about NLP and love solving messy data problems, we encourage you to apply. To ensure you've read this section thoroughly, we’ve included a small check in the application process. The keyword is the number 7 — you’ll be asked for it at the end of the form. About the Role A leading AI-focused organization is looking for a Junior Python Developer with strong experience in machine learning and natural language processing. This is a great opportunity to work closely with senior engineers on cutting-edge AI initiatives that involve building, training, and deploying intelligent models at scale. Key Responsibilities Develop and optimize Python scripts for data preprocessing, training, and evaluating NLP/ML models. Contribute to ML pipeline development using Scikit-learn, TensorFlow, or PyTorch. Deploy ML models via REST APIs using Flask or FastAPI. Handle data in various formats such as JSON, CSV, and PDF using spaCy, PyMuPDF, or regex-based logic. Participate in testing, debugging, and validation of machine learning workflows. Maintain documentation on code, model performance, and technical decisions. Stay updated with tools like Hugging Face, LangChain, and MLflow. Mandatory Skills Minimum 3 years of hands-on Python development experience. Proficient in Python libraries such as NumPy, Pandas, and Matplotlib. Experience with NLP tasks using tools like spaCy or regex for rule-based NER. Understanding of core ML algorithms: classification, regression, clustering. Familiar with ML frameworks: Scikit-learn, TensorFlow, or PyTorch. Experience developing and consuming REST APIs. Proficient with Git and collaborative version control. Nice to Have Experience with Hugging Face Transformers or LangChain. Familiarity with MLflow or similar model lifecycle tools. Exposure to OCR or intelligent document processing projects. How to Apply Please send your updated resume to komal.bansal@zetamicron.com Shortlisted candidates will be contacted for further discussions.

About FirstsourceFirstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Analytics and Data Science Delivery Responsibilities Lead Roles & Responsibilities We are seeking a Delivery Leader for Analytics and Data Science who can manage programs, from conceptualization to execution, across various domains including Machine Learning, Natural Language Processing (NLP), Forecasting, Experimental Design, Root Cause Analysis (RCA), and Data Visualization.Below are some of the core responsibilities associated with the role : Delivery : End-to-end delivery of Data Science Projects, POCs and other form of engagementsImplement and enforce best practices in model development, data processing, and deploymentEnsure efficient resource allocation, effective budget management, and adherence to project timelinesLead discussions with leadership to align business objectives, project plans, and address challenges proactively.Provide both functional and technical leadership to guide and mentor the team effectively Consulting : Identifying Analytics opportunities across client and internal operationsAssessment of Data & Tech readiness for deploying Analytical solutionsPreparing roadmap in terms of people, tools and capabilities that would be required for development Pre-Sales : Providing Delivery inputs (technical approach, pricing and implementation roadmap) for client RFPs/RFIsBuilding demonstratable capabilities Mandatory Qualifications & Skills 15+ Years of experience in Core Analytics and 5+ Years of experience in leading Analytics Programs Expert in Machine Learning Tools & Methodologies (such as Regression, Classification, Forecasting etc.) Expert in delivering projects in Natural Language Processing and allied areasExposure to Deep Learning frameworks such as Keras, Tensorflow etc. High degree of familiarity with at least one of the Cloud Technologies (e.g. – Azure, AWS, GCP etc.)Exposure to at least one of BI Stacks – Power BI/TableauHands-on experience across Python & SQL for Analytics development Experience in popular deployment methodologies and MLOps principles Experience in conducting statistical tests and designing experiments for causal inference Preferred Skills Familiarity with Generative AI solutions leveraging proprietary and Open-Source toolsExperience in developing and deploying Computer Vision solutions Familiarity with Data Engineering tools and methodologies (ETL, Data Pipelines etc.)Knowledge of Healthcare (Provider & Payer) & BFS Industry will be advantageous

Role Overview: As a Senior AI/ML Engineer, you will lead the design, development, and deployment of advanced machine learning models and AI solutions. Your expertise will drive innovation across various applications, from natural language processing (NLP) to deep learning and recommendation systems. You will collaborate with cross-functional teams to integrate AI capabilities into products and services, ensuring scalability, efficiency, and ethical standards. Key Responsibilities: Model Development & Deployment: Lead the end-to-end lifecycle of machine learning models, including data collection, preprocessing, model selection, training, evaluation, and deployment. Implement deep learning architectures (e.g., CNNs, RNNs, Transformers) and NLP models to solve complex problems. Optimize models for performance, scalability, and real-time inference. Collaboration & Leadership: Mentor and guide junior engineers and data scientists, fostering a culture of continuous learning and innovation. Collaborate with product managers, software engineers, and data engineers to align AI solutions with business objectives. Communicate complex technical concepts to both technical and non-technical stakeholders. Research & Innovation: Stay abreast of the latest advancements in AI/ML research and industry trends. Evaluate and integrate emerging technologies and methodologies to enhance model performance and capabilities. Contribute to the development of AI strategies and roadmaps. Ethics & Compliance: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and organizational standards. Implement fairness, accountability, and transparency in AI models to mitigate bias and ensure equitable outcomes. Technical Skills & Qualifications: Programming Languages: Proficiency in Python, with experience in libraries such as NumPy, Pandas, and Scikit-learn. Familiarity with other languages like Java, Scala, or C++ is a plus. Machine Learning Frameworks: Expertise in frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with MLOps tools and practices for model versioning, deployment, and monitoring. Data Engineering: Strong understanding of data pipelines, ETL processes, and working with large-scale datasets. Experience with SQL and NoSQL databases, as well as cloud platforms like AWS, GCP, or Azure. Soft Skills: Excellent problem-solving abilities and analytical thinking. Strong communication and interpersonal skills. Ability to work effectively in a collaborative, fast-paced environment. Educational Background: Bachelor's or master's degree in computer science, data science, machine learning, or a related field. Ph.D. is advantageous but not required. Preferred Experience: 8+ years in AI/ML engineering or related roles, with a proven track record of deploying production-grade models. Experience in specific domains such as healthcare, finance, or e-commerce is a plus. Why Join Us: Opportunity to work on cutting-edge AI projects with a talented team. Collaborative and inclusive work culture. Competitive compensation and benefits package. Continuous learning and professional development opportunities.

Data Science Specialist Experience Level: 6+ Years (Overall), 3+ Years (Relevant) Job Summary: We are seeking a highly skilled and experienced Data Science Specialist to join our team. The ideal candidate will have a strong foundation in data science , with a proven ability to design, develop, and deploy intelligent systems. This role requires expertise in advanced analytics, statistical modeling, and machine learning, with a focus on delivering scalable solutions. Exposure to Microsoft AI tools and agentic AI paradigms will be a strong advantage. Key Responsibilities: Design and implement advanced data science models to solve business problems. Work with structured and unstructured data to derive insights using statistical and machine learning techniques. Collaborate with stakeholders to identify use cases and develop data-driven strategies. Develop and deploy AI solutions on cloud platforms, preferably Microsoft Azure. Support and implement MLOps practices to ensure seamless deployment and monitoring of models. Explore and experiment with Agentic AI paradigms including autonomous agents, multi-agent systems, and orchestration frameworks. Document models, processes, and workflows and ensure compliance with best practices. Mandatory Skills: Strong experience in Data Science , including ML algorithms, statistical modeling, and data wrangling. Hands-on experience with Python/R and associated data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Solid understanding of data processing and visualization tools. Good-to-Have Skills: Experience with Microsoft AI tools and services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Familiarity with Agentic AI paradigms – including autonomous agents, multi-agent systems, and orchestration frameworks. Strong exposure to cloud platforms , with preference for Microsoft Azure . Experience with MLOps tools and practices, such as MLflow, Kubeflow, or Azure ML pipelines. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. 6+ years of overall industry experience with at least 3 years in core data science roles. Excellent problem-solving skills and ability to work in a collaborative, team-oriented environment. SigniTeq is a Global Technology Services Company focused on building New-Age Technology Solutions and Augmenting Technology Teams for many World’s Leading Brands and Large Global Enterprises., We bring together some of the Brightest Minds in Open-Source and Emerging Technologies, operating from our Offices in India, UAE, USA, Mexico, and Australia and engage a strong presence of Technology Resources across 100+ Countries. Our Credentials Include Wonderful Workplaces To Shape Your Career - 2021 by The CEOStory, Top 20 Most Promising Blockchain Companies - 2020 by CIOReview, Winner Of Innovative Startup Solution Challenge For Combating Covid 19, Govt Of India Winner Of WhatsApp Challenge by Facebook Corporation ISO 9001 – 2015 Quality Certified Company ISO 27001 – 2013 ISMS Certified Company An AWS Partner We Offer · 5 Days Working · Medical Coverage · World Class Client Brands · Prime Office Location · Great Employee Engagements · Emerging Technology Practices · Learning Experience From Leaders For more information please visit : www.SigniTeq.com

Job Title: Senior Python Developer – AI/ML Document Automation Location: Hyderabad Work Mode: Hybrid Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Python Developer with deep expertise in AI/ML and document automation . The ideal candidate will lead the design and development of intelligent systems for extracting and processing structured and unstructured data from documents such as invoices, receipts, contracts, and PDFs. This role involves both hands-on coding and architectural contributions to scalable automation platforms. Roles and Responsibilities: Design and develop modular Python applications for document parsing and intelligent automation. Build and optimize ML/NLP pipelines for tasks like Named Entity Recognition (NER), classification, and layout-aware data extraction. Integrate rule-based and AI-driven techniques (e.g., regex, spaCy, PyMuPDF, Tesseract) to handle diverse document formats. Develop and deploy models via REST APIs using FastAPI or Flask, and containerize with Docker. Collaborate with cross-functional teams to define automation goals and data strategies. Conduct code reviews, mentor junior developers, and uphold best coding practices. Monitor model performance and implement feedback mechanisms for continuous improvement. Maintain thorough documentation of workflows, metrics, and architectural decisions. Mandatory Skills: Expert in Python (OOP, asynchronous programming, modular design). Strong foundation in machine learning algorithms and natural language processing techniques. Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers. Proficient in developing REST APIs using FastAPI or Flask. Experience in PDF/text extraction using PyMuPDF, Tesseract, or similar tools. Skilled in regex-based extraction and rule-based NER. Familiar with Git, Docker, and any major cloud platform (AWS, GCP, or Azure). Exposure to MLOps tools such as MLflow, Airflow, or LangChain. Job Type: Full-time Pay: ₹800,000.00 - ₹1,400,000.00 per year Benefits: Provident Fund Schedule: Day shift Monday to Friday Application Question(s): Are you an immediate Joiner? Experience: Python : 2 years (Required) AI/ML: 2 years (Required) NLP: 1 year (Required) Location: Hyderabad, Telangana (Required) Work Location: In person

Join as Principal AI, Blockchain & Payments Architect (Remote). Lead AI/ML & Blockchain integration in a cutting-edge payments platform. FinTech, Java, Python, AI, DLT, global rails. DM or send resume to suresh@goldenpicktech.com. Flexi working Work from home Performance bonus

Job Family Data Science & Analysis (India) Travel Required Up to 25% Clearance Required None What You Will Do Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance. Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation. Ensure all AI solutions adhere to industry standards and regulatory requirements (i.e., HIPAA). Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases. Implement robust security protocols to protect sensitive data from breaches and unauthorized access. Ensure AI solutions can seamlessly integrate with existing systems and applications. What You Will Need Bachelors or master’s in computer science, Artificial Intelligence, Machine Learning, or a related field. 10+ year industry experience with minimum of 5 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models. Delivered a minimum of 3 to 5 AI/LLM medium to large scale projects of significant value. What Would Be Nice To Have Experience with federated learning and privacy-preserving AI techniques. Familiarity with synthetic data generation for healthcare model training. Knowledge of healthcare is added advantage. Experience integrating AI with existing solutions. Experience working in regulated environments and with audit-ready documentation practices. Ability to evaluate and select GenAI models based on performance, cost, and compliance factors. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

SEAMEDU - A SSISTANT PROFESSOR – DATA SCIENCE & ARTIFICIAL INTELLIGENCE This position is for Seamedu - School of Pro Expressionism, a division of Seamless Education and Services Pvt. Ltd (SEAS) which has 2 divisions: Seamedu - School of Pro Expressionism is a Media, Technology and Management school producing world class talent for the industry. Seamedu is an institution that nurtures the creativity of the students. Seamedu has been awarded by the Government of Maharashtra in IT & IT related Fields- Multimedia/ Entertainment/ Gaming. Seamedu has campuses in Pune, Gurgaon and Bangalore. To know more about us, please visit – www.seamedu.com. Job Title / Designation: A SSISTANT PROFESSOR – DATA SCIENCE & ARTIFICIAL INTELLIGENCE Job Description: We seek a passionate and experienced Senior Faculty / Assistant Professor to join our dynamic Information Technology programs. You will play a key role in shaping the future generation of IT professionals by delivering engaging and challenging courses that bridge the gap between theory and practice. Responsibilities: · Develop and deliver a range of high-quality courses in Artificial Intelligence, Machine Learning and Data Science at intermediate and advanced levels. Subjects include but are not limited to: o Deep Learning and Neural Networks o Predictive Analytics o Time Series Analysis, Recommender Systems, Data Mining Techniques o AI/ML Algorithms o Data Analytics using SQL, Apache Spark, and Big Data Analytics · Utilize interactive teaching methods with hands-on projects and case studies to enhance critical thinking and real-world problem-solving. · Develop engaging syllabi, and course materials and provide hands-on support to students as they work on projects, guiding them through the creative process and problem-solving to achieve their goals. · Stay up-to-date with the latest advancements in AI, ML, and Data Science. Incorporate cutting-edge tools and frameworks such as TensorFlow, Keras, Scikit-Learn, R, and Cloud-based AI platforms (AWS, Azure AI). · Work with faculty to enhance the AI/ML/Data Science curriculum, reflecting emerging technologies and industry needs. · Participate in departmental and university-wide committees and activities. · Participate in recruitment activities and advise students on career opportunities in AI, machine learning, and data science. · Continuously improve your teaching skills through professional development and stay updated on the latest advancements to provide relevant education to your students. Minimum/ Work Experience Required: 4-7 years Annual CTC : Not a Constraint for right person Location(s) of Job: Ajeenkya D Y Patil University, Pune Minimum Qualification Requirements: · Master's degree in Computer Science, Information Technology, or a related field. · Strong understanding of current trends and technologies in IT. · Excellent communication, interpersonal, and organizational skills. · Ability to develop and deliver engaging and effective lectures. · Commitment to continuous learning and professional development. Any Other Skillset : · Ph.D. in a relevant field. · Experience in curriculum development and program administration.\ · Demonstrated experience teaching courses within the areas covered by the Bachelor's degree programs. · Familiarity with cutting-edge technologies like NLP, Computer Vision, and Reinforcement Learning · Published research in AI/ML or data science, or a strong research background · Experience with advanced data visualization tools such as Tableau, Power BI, or Data Studio Also looking for ASSISTANT PROFESSOR- INFORMATION SECURITY and ASSISTANT PROFESSOR- Cloud Technology.

Role Overview We're looking for a passionate and experienced AIML Engineering Lead to join our Pune team and spearhead the development of production-grade LLM-based agentic platform. In this role, you'll be instrumental in designing scalable infrastructure for our LLM systems and developing robust frameworks for prompt management. As a key team member, you'll have significant influence on our system architecture and technical direction. Job Location The position will be in-person in Pune, India. Key Responsibilities Architect and implement production-grade LLMOps pipelines Develop and maintain prompt engineering and evaluation systems Establish comprehensive monitoring and observability for ML system performance Drive continuous improvement in prompt accuracy using quantitative and qualitative feedback Lead system architecture decisions and guide technical strategy Implement efficient data processing and integration solutions Ensure code quality through rigorous testing, code reviews, and LLM best practices Required Qualifications B.Tech/B.E. in Computer Science, IT, or related field from a reputed institute 5+ years of software development experience, with 2+ years in MLOps/LLMOps Proven experience implementing CI/CD, MLOps, or LLMOps pipelines Production-level expertise with Azure Cloud, AI, ML, and Data Pipeline services Strong proficiency in Python and experience with FastAPI Solid understanding of ML algorithms and solutions Excellent problem-solving skills and ability to work independently Strong communication skills in English Willingness to work U.S. East Coast hours Desired Skills Advanced degree in Data Science, Machine Learning, or Computer Science Experience in productionizing GenerativeAI systems Expertise in optimizing ML-based systems Familiarity with Bicep, Terraform, or related infrastructure automation tools Advanced proficiency in Azure and Python Why Join MarketEngine.ai? - Be part of a high-growth Silicon-Valley startup revolutionizing SMB marketing technology. - Collaborate with industry leaders in AI/ML and marketing experts. - Competitive salary package (Best in industry) - Flexible work arrangements and a dynamic, intellectually stimulating environment - Opportunity to shape the future of demand generation technology for startups and SMBs

5+ years of experience in Deep Learning, including CNNs, RNNs, Transformers 2–3 years of experience in Generative AI,Proficient in Python, PyTorch, TensorFlow & Cloud platforms (AWS/GCP/Azure). Hugging Face, OpenAI APIs, LangChain, Weights & Biases.

Job Title: Python Developer Company: ChicMic Studios Location: Mohali, Punjab | Local candidates are preferred | Experience Required: 2 to 3 Years Job Type: Full-Time | On-Site (Work From Office) Working Days: 5 Days a Week Job Description: We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask , with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF) , a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities ● Develop and maintain web applications using Django and Flask frameworks. ● Design and implement RESTful APIs using Django Rest Framework (DRF). ● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. ● Build and integrate APIs for AI/ML models into existing systems. ● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. ● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. ● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. ● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. ● Ensure the scalability, performance, and reliability of applications and deployed models. ● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. ● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers. ● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications ● B.tech/MCA ● 3+ years of professional experience as a Python Developer. ● Proficient in Python with a strong understanding of its ecosystem. ● Extensive experience with Django and Flask frameworks. ● Hands-on experience with AWS services for application deployment and management. ● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. ● Experience with transformer architectures for NLP and advanced AI solutions. ● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). ● Familiarity with MLOps practices for managing the machine learning lifecycle. ● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. ● Excellent problem-solving skills and the ability to work independently and as part of a team. ● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Job Location: ChicMic Studios, Mohali, Punjab Note: Local candidates are preferred. How to Apply: Email your resume to: disha.mehta755@chicmicstudios.in Contact: +91 98759 52834 Company Website: www.chicmicstudios.in Job Type: Full-time Pay: ₹700,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Provident Fund Application Question(s): Are you can immediate joiner? Experience: Python: 2 years (Required) Work Location: In person Speak with the employer +91 9875952834

About Us: E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made up of digital agencies that rely on us to solve bandwidth issues, reduce overheads, and boost profitability. We need driven, tech-savvy professionals like you to help us deliver next-gen solutions. If you're someone who dreams big and thrives in innovation, E2M has a place for you. Role Overview: As an AI Executor/AI Developer/Python Developer – AI Implementation Specialist/AI Developer , you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions. Key Responsibilities: Design and develop backend solutions using Python, with a focus on AI-driven features. Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain. Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models. Translate business needs into AI use cases and deliver working solutions. Collaborate with product, engineering, and data teams to define integration workflows. Develop REST APIs and micro services to deploy AI components within applications. Maintain and optimize AI systems for scalability, performance, and reliability. Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement. Required Skills & Qualifications: Minimum 2+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development. Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras. Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face). Solid understanding of REST APIs, microservices, and integration practices. Ability to work independently in a remote setup with strong communication and ownership. Excellent problem-solving and debugging capabilities.

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled software developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your Role And Responsibilities AI Development and Implementation: Design, develop, and deploy cutting-edge AI solutions using GenAI technologies. Implement and optimize Large Language Models (LLMs) for texts, image and other data. Leverage Retrieval-Augmented Generation (RAG) techniques to enhance AI-driven insights and decision-making. Enterprise Software Integration: Integrate AI models with Enterprise Software to build high-quality AI use-cases. Develop custom AI algorithms and AI Agents. Solution Optimization and Integration: Fine-tune NLP models to align with domain-specific needs and improve accuracy. Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows. Mentorship and Leadership: Mentor junior developers on AI best practices, tools, and frameworks. Lead brainstorming sessions to explore innovative AI applications and solutions. Research and Innovation: Stay updated with the latest advancements in AI, GenAI, LLMs, and RAG to continuously enhance systems. Conduct proof-of-concept projects to evaluate emerging technologies for business use cases. Preferred Education Master's Degree Required Technical And Professional Expertise 5+ years of experience. Programming Expertise Proficient in Python with demonstrated experience in AI and ML development. Knowledge of vector database. AI Agents, GenAI and LLMs: Strong expertise in GenAI concepts, including the design, deployment, and optimization of Large Language Models (LLMs) and design AI Agents. NLP Skills: Advanced knowledge of NLP techniques for text analysis, summarization, and contextual understanding. RAG Expertise: Hands-on experience with Retrieval-Augmented Generation (RAG) to enhance knowledge retrieval systems. Tools and Frameworks: Proficiency with AI frameworks like TensorFlow, PyTorch, Hugging Face, or similar. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI solutions. Preferred Technical And Professional Experience DevOps and MLOps: Knowledge of deploying AI models in production environments using MLOps best practices. Data Engineering: Familiarity with data preparation, preprocessing pipelines, and working with unstructured datasets. Agile Methodologies: Experience working in Agile development environments for iterative delivery. Soft Skills: Strong problem-solving skills, attention to detail, and ability to communicate complex concepts to technical and non-technical stakeholders.

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a AI Engineer to join our team and play a critical role in the design and develop a cognitive data solution. The broader vision is to develop an AI-based platform that will crawl through unstructured data sources and extract meaningful information. The ideal candidate will possess full-stack development skills along with a strong understanding of database structures, SQL queries, ETL tools and Azure data technologies. Core Responsibilities Lead the design, development, and implementation of AI algorithms and models to enhance payment and CX product offerings. Test agent interactions, document behaviors, and help improve reliability and performance. Assist with agent integration, system testing, and deployment. Develop and deploy AI models (including deep learning models) using TensorFlow, PyTorch, and other ML/DL frameworks. Design and maintain the full AI data pipeline, including data crawling, ETL, and building fact tables. Apply statistical and programming expertise (NumPy, Pandas, etc.) for data analysis and modeling. Optimize AI models for on-premise infrastructure with a focus on performance and security compliance. Stay abreast of the latest trends in AI and contribute to continuous improvements. Mentor junior AI/ML engineers and contribute to documentation and process standardization. Contribute to the broader AI agent ecosystem and cross-functional collaboration. Required Experience Strong Python programming skills and experience with full-stack development. Experience with large language models (LLMs) like ChatGPT, Claude, etc. 6 months to 1 year of experience in Claims and Denial Management within the medical healthcare industry in India. Solid understanding of AI/ML concepts including NLP, ML algorithms, deep learning, image/speech recognition. Experience with Azure Data Factory, Databricks/Spark, Synapse/SQL DW, and Data Lake Storage. Familiarity with data pipelines, APIs, data exchange mechanisms, and RDBMS/NoSQL databases. Ability to write clear and thorough documentation. Enthusiasm for emerging AI technologies and open-source collaboration. Nice To Have Experience with agent frameworks (LangChain, AutoGPT, CrewAI, etc.) Basic DevOps knowledge and experience in scalable deployments. Experience with API development and RESTful services. Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone, Weaviate). Prior contributions to open-source AI projects or communities. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

URGENT HIRING: Generative AI Trainer (Noida Location) 📍 Location: Noida 🏢 Organization: Certed Technologies We are urgently hiring an experienced generative AI trainer with strong expertise in AI/ML and hands-on industry exposure. Key Responsibilities: ✅ Deliver professional training on Generative AI tools, LLMs, and frameworks (OpenAI, LangChain, Hugging Face, etc.) ✅ Design training modules, assignments, and real-world project work. ✅ Mentor learners and ensure high-quality, industry-relevant sessions. ✅ Keep the curriculum updated with the latest advancements in AI/ML. Required Skills & Experience: 🔹 Minimum 5+ years of training experience in AI/ML or Generative AI 🔹 Proficiency in Python, TensorFlow/PyTorch, NLP, LLMs, OpenAI API, Stable Diffusion, etc. 🔹 Strong presentation and classroom management skills 🔹 Prior corporate/academic training experience preferred Employment Type: 15-Day Training Program 📩 Send your CV to support@certedtechnologies.com. 📞 Contact: 8920158923

About the Role We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques. Key Responsibilities ● Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis ● Design and optimize camera calibration procedures for various imaging systems ● Create robust stereo vision solutions for depth estimation and object localization ● Implement multi-view geometry techniques for scene understanding and 3D modeling ● Develop efficient triangulation methods for 3D point cloud generation ● Collaborate with cross-functional teams to integrate computer vision solutions into larger systems ● Stay current with the latest advancements in computer vision and contribute to research initiatives  Required Qualifications ● Bachelors in Computer Science, Computer Engineering, or a related field ● 3+ years of experience in computer vision, with a focus on 3D vision techniques ● Strong proficiency in camera calibration methods and tools ● Extensive experience with stereo vision algorithms and epipolar geometry ● In-depth knowledge of multi-view geometry and structure-from-motion techniques ● Proven track record in developing 3D reconstruction pipelines ● Expert-level programming skills in C++ and Python ● Experience with OpenCV, PCL, or similar computer vision libraries ● Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks

Job Title: Machine Learning Developer Company: Lead India Location: Remote Job Type: Full-Time Salary: ₹3.5 LPA About Lead India: Lead India is a forward-thinking organization focused on creating social impact through technology, innovation, and data-driven solutions. We believe in empowering individuals and building platforms that make governance more participatory and transparent. Job Summary: We are looking for a Machine Learning Developer to join our remote team. You will be responsible for building and deploying predictive models, working with large datasets, and delivering intelligent solutions that enhance our platform’s capabilities and user experience. Key Responsibilities: Design and implement machine learning models for classification, regression, and clustering tasks Collect, clean, and preprocess data from various sources Evaluate model performance using appropriate metrics Deploy machine learning models into production environments Collaborate with data engineers, analysts, and software developers Continuously research and implement state-of-the-art ML techniques Maintain documentation for models, experiments, and code Required Skills and Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent practical experience) Solid understanding of machine learning algorithms and statistical techniques Hands-on experience with Python libraries such as scikit-learn, pandas, NumPy, and matplotlib Familiarity with Jupyter notebooks and experimentation workflows Experience working with datasets using tools like SQL or Excel Strong problem-solving skills and attention to detail Ability to work independently in a remote environment Nice to Have: Experience with deep learning frameworks like TensorFlow or PyTorch Exposure to cloud-based ML platforms (e.g., AWS SageMaker, Google Vertex AI) Understanding of model deployment using Flask, FastAPI, or Docker Knowledge of natural language processing or computer vision What We Offer: Fixed annual salary of ₹3.5 LPA 100% remote work and flexible hours Opportunity to work on impactful, mission-driven projects using real-world data Supportive and collaborative environment for continuous learning and innovation

Azure AI Architect Experience: 10+ Years Location: Remote General Summary We are seeking an experienced and innovative Azure AI Architect to lead the design and implementation of advanced AI solutions tailored to the MedTech and medical device industry. As an Azure AI Architect, you will develop scalable and compliant AI systems that improve patient outcomes, enhance diagnostics, and support operational excellence. This role will collaborate across multidisciplinary teams to ensure AI solutions align with clinical, regulatory, and technical requirements. Specific Duties and Responsibilities Design end-to-end AI/ML solutions using Microsoft Azure to support clinical decision-making, diagnostics, and patient monitoring. Collaborate with clinical teams, data scientists, and engineers to translate healthcare challenges into scalable AI architectures. Ensure AI models comply with FDA and HIPAA requirements and integrate seamlessly into medical devices and software systems. Deploy, monitor, and maintain AI solutions on Azure with a focus on security, scalability, and reliability. Support data acquisition and preprocessing strategies in alignment with medical data standards (e.g., HL7, FHIR, DICOM). Drive innovation by leveraging Azure Cognitive Services, Azure Machine Learning, and other Azure-native AI tools. Work closely with regulatory and compliance teams to ensure all AI implementations meet industry standards. Provide training and guidance to internal stakeholders on AI capabilities and best practices. Position Qualifications Minimum education and experience:  Bachelor's or master's degree in computer science, Data Science, or a related field. Prior work experience or internships in data science, data analysis, or a related area is a plus. Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field. 5+ years of experience in AI/ML architecture with at least 2 years in the healthcare or MedTech sector. Expertise in Microsoft Azure AI services, including Azure Machine Learning and Cognitive Services. Familiarity with medical data privacy and security standards (e.g., HIPAA, GDPR). Proficiency in Python, R, and Azure SDKs with hands-on experience in deploying production AI models. Understanding of AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong communication skills and ability to collaborate across clinical and technical domains. Hands-on experience with Generative AI (GenAI) tools. Experience with Azure AI Studio, including configuring resources, deploying models, and fine-tuning. Proactive approach to learning and applying new techniques and tools in real-world projects. Strong critical thinking, problem-solving mindset, and analytical skills