4 Image Analytics Jobs

As a Senior Data Scientist with our fast-growing team, you should possess a total of 7-8 years of experience, with a specific focus on 3-5 years in Machine & Deep Machine learning. Your expertise should include working with Convolution Neural Network (CNN), Image Analytics, TensorFlow, Open CV, among others. Your primary responsibilities will revolve around designing and developing highly scalable machine learning solutions that have a significant impact on various aspects of our business. You will play a crucial role in creating Neural Network solutions, particularly Convolution Neural Networks, and ML solutions based on our architecture supported by big data, cloud technology, micro-service architecture, and high-performing compute infrastructure. Your daily tasks will involve contributing to all stages of algorithm development, from ideation to design, prototyping, and production implementation. To excel in this role, you should have a solid foundation in software engineering and data science, along with a deep understanding of machine learning algorithms, statistical analysis tools, and distributed systems. Experience in developing machine learning applications, familiarity with various machine learning APIs, tools, and open source libraries, as well as proficiency in coding, data structures, predictive modeling, and big data concepts are essential. Additionally, expertise in designing full-stack ML solutions in a distributed compute environment is crucial. Proficiency in Python, Tensor Flow, Keras, Sci-kit, pandas, NumPy, AZURE, AWS GPU is required. Strong communication skills to effectively collaborate with various levels of the organization are also necessary. If you are a Junior Data Scientist looking to join our team, you should have 2-4 years of experience and hands-on experience in Deep Learning, Computer Vision, Image Processing, and related skills. We are seeking self-motivated individuals who are eager to tackle challenges in the realm of AI predictive image analytics and machine learning.,

You are a highly skilled and experienced Senior Engineer in Data Science who will be responsible for designing and implementing next-generation data science solutions. Your role will involve shaping the data strategy and driving innovation through advanced analytics and machine learning. In this position, your responsibilities will include providing technical leadership and designing end-to-end data science solutions. This encompasses data acquisition, ingestion, processing, storage, modeling, and deployment. You will also be tasked with developing and maintaining scalable data pipelines and architectures using cloud-based platforms and big data technologies to handle large volumes of data efficiently. Collaboration with stakeholders to define business requirements and translate them into technical specifications is essential. As a Senior Engineer in Data Science, you will select and implement appropriate machine learning algorithms and techniques, staying updated on the latest advancements in AI/ML to solve complex business problems. Building and deploying machine learning models, monitoring and evaluating model performance, and providing technical leadership and mentorship to junior data scientists are also key aspects of this role. Furthermore, you will contribute to the development of data science best practices and standards. To qualify for this position, you should hold a B.Tech/M.Tech/M.Sc (Mathematics/Statistics)/PhD from India or abroad. You are expected to have at least 4+ years of experience in data science and machine learning, with a total of around 7+ years of overall experience. A proven track record of technical leadership and implementing complex data science solutions is required, along with a strong understanding of data warehousing, data modeling, and ETL processes. Expertise in machine learning algorithms and techniques, time series analysis, programming proficiency in Python, knowledge of general data science tools, domain knowledge in Industrial, Manufacturing, and/or Healthcare, proficiency in cloud-based platforms and big data technologies, and excellent communication and collaboration skills are all essential qualifications for this role. Additionally, contributions to open-source projects or publications in relevant fields will be considered an added advantage.,

As a Senior Robotic Process Automation (RPA) Developer for Digital Transformation, you will be responsible for designing, developing, and testing the automation of workflows. Your key role will involve supporting the implementation of RPA solutions, collaborating with the RPA Business Analyst to document process details, and working with the engagement team to implement and test solutions while managing exceptions. Additionally, you will be involved in the maintenance and change control of existing artifacts. To excel in this role, you should possess substantial experience in standard concepts, practices, technologies, tools, and methodologies related to Digital Transformations, including automation, analytics, and new/emerging technologies in AI/ML. Your ability to efficiently manage projects from inception to completion, coupled with strong execution skills, will be crucial. Knowledge of process reengineering would be advantageous. Your responsibilities will include executing projects on digital transformations, process redesign, and maximizing operational efficiency to identify cost-saving opportunities for the enterprise. You will also interact with Business Partners in India and the USA. Key Job Functions and Responsibilities: - Manage end-to-end execution of digital transformational initiatives - Drive ideation and pilot projects on new/emerging technologies such as AI/ML and predictive analytics - Evaluate multiple tools and select the appropriate technology stack for specific challenges - Collaborate with Subject Matter Experts (SMEs) to document current and future processes - Possess a clear understanding of process discovery and differentiate between RPA and regular automation - Provide guidance on designing "to be" processes for effective automation - Develop RPA solutions following best practices - Consult with internal clients and partners to offer automation expertise - Implement RPA solutions across various platforms (e.g., Citrix, web, Microsoft Office, database, scripting) - Assist in establishing a change management framework for updates - Offer guidance on process design from an automation perspective Qualifications: - Bachelor's/Master's/Engineering degree in IT, Computer Science, Software Engineering, or a relevant field - Minimum of 3-4 years of experience in UiPath - Strong programming skills in Python, SQL, and Pandas - Expertise in at least one popular Python framework (e.g., Django, Flask, or Pyramid) is advantageous - Application of Machine Learning/Deep Learning concepts in cognitive areas such as NLP, Computer Vision, and image analytics is highly beneficial - Proficiency in working with structured/unstructured data, image (OCR)/voice, and descriptive/prescriptive analytics - Excellent organizational and time management skills, with the ability to work independently - Certification in UiPath is recommended - Hands-on experience and deep understanding of AWS tools and technologies like EC2, EMR, ECS, Docker, Lambda, and SageMaker - Enthusiasm for collaborating with team members and other groups in a distributed work model - Willingness to support and learn from teammates while sharing knowledge - Comfortable working in a mid-day shift and remote setup Work Schedule or Travel Requirements: - 2-11 PM IST; 5 days a week,

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com