60 Image Recognition Jobs

As a Numerical Modelling & Programming specialist, you will be responsible for developing, implementing, and optimizing numerical algorithms within various software platforms for mining applications. Your role will involve writing and maintaining efficient, scalable code in languages such as C++, Python, and FISH, customized to geotechnical and rock mechanics modelling workflows. Additionally, you will be expected to customize and extend functionalities of tools like FLAC/FLAC3D, UDEC/3DEC, and other geomechanical software through scripting and API integration. Your duties will also include designing and deploying coding solutions to automate repetitive tasks, thereby enhancing efficiency across engineering workflows. You will need to identify and implement opportunities for process automation, contributing to resource optimization and improved modelling productivity. Collaboration with engineers, geologists, and technical leads is crucial to understand project requirements and translate them into software-based solutions. Moreover, integrating developed scripts and automation routines into existing platforms and project workflows will be part of your responsibilities. Quality assurance plays a significant role in your job profile, where conducting rigorous testing and validation of numerical models and coding deliverables is essential to ensure technical reliability and robustness. Participation in peer code reviews and contribution to the establishment and enforcement of coding best practices and standards will be expected from you. Staying current with industry trends in numerical modelling, simulation, and automation is crucial. You will be required to contribute to innovation by researching and applying new technologies like machine learning, generative AI, and image recognition to tackle mining challenges effectively. In terms of mandatory skills, excellent verbal and written communication in English is necessary. Strong programming proficiency in C++, Python, and FISH is also a must. A solid foundation in computer science, information technology, or engineering (mining/geotechnical preferred) is expected, along with the willingness and ability to learn new programming languages and software tools. Desired skills for this role include prior experience with mining or geotechnical modelling software, exposure to automation and scripting in engineering applications, familiarity with machine learning algorithms, generative AI, and image recognition technologies, and a proven ability to innovate and challenge conventional approaches in a technical environment. To be eligible for this position, you should possess a Bachelor's or higher degree in Computer Science, Software Engineering, or a related field. Additionally, you should have 7-10 years of experience in programming, ideally in support of mining or geotechnical applications, with demonstrated experience in coding for finite difference and discrete element methods, particularly in mining/civil engineering contexts.,

As a Level 9 Industry and Functional AI Decision Science Consultant at Accenture Strategy & Consulting within the Global Network - Data & AI team, your primary responsibility will be to assist clients in the Comms & Media - Telecom practice by designing and implementing AI solutions for their business needs. You will leverage your expertise in the Telco domain, AI fundamentals, and hands-on experience with large datasets to deliver valuable insights and recommendations to key stakeholders. Your role will involve proposing solutions based on comprehensive gap analysis of existing Telco platforms, identifying long-term value propositions, and translating business requirements into functional specifications. By collaborating closely with client stakeholders through interviews and workshops, you will gather essential insights to address their unique challenges and opportunities. In addition to understanding the current processes and potential issues within the Telco environment, you will be responsible for designing future state solutions that leverage Data & AI capabilities effectively. Your ability to analyze complex problems systematically, anticipate obstacles, and establish a clear project roadmap will be crucial to driving successful outcomes for clients. Furthermore, you will act as a strategic partner to clients, aligning their business goals with innovative AI-driven strategies to enhance revenue growth and operational efficiency. Your expertise in storytelling through data analysis will enable you to craft compelling narratives that resonate with senior stakeholders and drive informed decision-making. To excel in this role, you should possess a minimum of 5 years of experience in Data Science, with at least 3 years dedicated to Telecom Analytics. A postgraduate degree from a reputable institution and proficiency in data mining, statistical analysis, and advanced predictive modeling techniques are essential qualifications for this position. Your hands-on experience with various analytical tools and programming languages, such as Python, R, and SQL, will be instrumental in delivering impactful solutions to clients. As a proactive and collaborative team player, you will actively engage with cross-functional teams, mentor junior members, and uphold a high standard of excellence in client interactions. Your strong analytical skills, problem-solving capabilities, and ability to work independently across multiple projects will be key to your success in this dynamic and fast-paced environment. While cloud platform certifications and experience in Computer Vision are considered advantageous, your commitment to continuous learning and staying abreast of industry trends will be highly valued in this role. Overall, your dedication to delivering value-driven AI solutions and fostering long-lasting client relationships will be instrumental in driving success for both Accenture and its clients.,

We are seeking a highly skilled Senior Salesforce AI Developer with over 6 years of experience in Salesforce CRM development and 2 years of expertise in developing AI solutions around Sales and Service Cloud using Salesforce Einstein. The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations. As a Salesforce AI Developer, your role involves collaborating closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce. Your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service Cloud. You will collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation. Additionally, you will lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience. Furthermore, you will collaborate with product managers, data scientists, and developers to ensure the successful implementation of AI/ML solutions aligned with business goals. You will implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud. Using Salesforce Einstein, you will apply natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies. Your role will involve analyzing customer data to identify actionable insights and recommend tailored product offerings. You will monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs. Additionally, you will ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models. Key Qualifications: - 6+ years of overall experience in Salesforce development with at least 2+ years of relevant hands-on experience in Salesforce AI Solutions development. - Expertise in Salesforce Einstein AI features, including Sales Cloud Einstein, Service Cloud Einstein, Einstein Copilot, Prompt Builder, Einstein Studio, Einstein Chatbot, etc. - Experience in customizing applications using Apex, LWC, and Lightning Flows. - Proficiency in data modeling, data integration using REST APIs, and handling large datasets within Salesforce. - Strong understanding of machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, and other AI applications. - Ability to translate complex business needs into actionable AI/ML solutions and ensure data security and compliance standards are met. Preferred Skills (Good to have): - Salesforce certifications in areas such as Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate. - Experience in Salesforce Data Cloud, MLOps practices, automating model training and deployment, and working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights. - Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud. - Proficiency in Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports, Python, TensorFlow, PyTorch for developing ML models, and NLP, LLMs, and LLM model development.,

As a Software Embedded Developer Automation at our Ambattur Chennai location, you will be at the forefront of developing a state-of-the-art digital weld operator for Submerged Arc Welding (SAW) applications. Our software solution runs on Linux (NixOS) and operates on both standard PC hardware and industrial PCs. The application is multi-threaded, C-based, and incorporates performance-critical components, including advanced image recognition algorithms and adaptive steering for welding processes. It seamlessly integrates with Siemens PLC systems and is poised for cloud connectivity to enable centralized operations and data offloading. We are seeking a Senior Software Developer with a passion for innovation and a proven track record in delivering high-performance software solutions. In this role, you will work on a highly dynamic application with advanced algorithms and real-time requirements, driving features from conception to delivery. You will also play a crucial role in integrating image recognition and adaptive welding technologies, ensuring the scalability and robustness of cloud-enabled operations. In this role, you will design, implement, and maintain a high-performance, multi-threaded C application running on Linux (NixOS), ensuring the code is clean, testable, and maintainable for long-term scalability. You will be responsible for integrating the application with Siemens PLC systems, optimizing communication protocols like PROFINET or Modbus to enable seamless system operations. A key aspect of your work will involve contributing to cloud integration features for data offloading and centralized management. You will also focus on addressing performance bottlenecks in real-time applications while ensuring the software aligns with the broader system-of-systems architecture. Collaboration is critical in this role; you will work closely with cross-functional teams, including hardware engineers and operations specialists, to deliver robust, well-integrated solutions. Taking ownership of backlog tasks, you will drive them to completion independently, maintaining high-quality standards and meeting deadlines. Your ability to approach complex challenges with a system-level perspective and a collaborative mindset will be central to your success in this position. Must-Have Skills: - 10 years of professional experience in C development (11/14/17 or later) with a focus on application-level and multi-threaded programming - Strong experience with Linux-based systems, including debugging and system programming - Deep understanding of software design principles and practices for writing testable and maintainable code - Proven ability to work on complex systems and understand interactions within a system-of-systems architecture - Significant experience in developing robust applications with performance constraints - Excellent communication and teamwork skills, with the ability to work effectively across disciplines and with diverse stakeholders - Exposure to CI/CD pipelines and modern software development tools (e.g., CMake, Git) Nice-to-Have Skills: - Familiarity with Submerged Arc Welding (SAW) processes or other industrial welding technologies - Experience with image processing or recognition algorithms - Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data handling frameworks - Knowledge of Siemens PLCs and industrial automation protocols - Experience with NixOS packaging and build systems - Understanding of cybersecurity principles for industrial and cloud applications Soft Skills: - Strong analytical and problem-solving skills to address complex technical challenges - Excellent communication skills to work effectively with cross-disciplinary teams - Self-motivated and capable of independently prioritizing tasks in a fast-paced environment - Strong attention to detail, ensuring high-quality code and robust solutions What We Offer: - Impactful Work: Be part of a team developing groundbreaking technology for the welding industry - Growth Opportunities: Advance your career in a collaborative and innovative environment - Competitive Benefits: Attractive salary, benefits, and a commitment to work-life balance,

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

Best Enterprises , a leader in packaging automation and industrial vision systems, is expanding its R&D team. We are looking for a Computer Vision Engineer with strong programming skills and a passion for applying AI/ML in visual inspection and defect detection . Freshers with strong programming skills and a passion for computer vision are welcome to apply. Programming Work Develop image processing applications using C++ and OpenCV . Apply AI/ML/Deep Learning models to detect complex defects and classification tasks. Build real-time and low-cost industrial applications using compact embedded vision systems. System Integration Work Select and procure cameras, lenses, lights, computers, embedded PCs . Source bowl feeders, linear conveyors , and material handling systems. Collaborate with mechanical engineers to finalize camera and light positioning . Interface vision systems with PLCs, encoders, and industrial sensors . Required Skills Proficient in OpenCV and image processing techniques. Strong coding skills in C++ (or C# ). 2 years of hands on experience in Computer vision Preferred Skills In-depth understanding of AI / ML / Deep Learning for vision tasks. Hands-on with integrating AI models into real-time industrial vision applications. Experience with TensorFlow or PyTorch or YOLO or ONNX is a plus. Familiarity with NVIDIA Jetson or Raspberry Pi or Coral TPU based deployments. Interview Process The selection process includes a phone interview followed by an in-person assessment of programming skills

Job Title : Data Annotation Location State : Karnataka Location City : Bangalore Experience Required : 2 to 3 Year(s) Shift: Rotational Work Mode: Onsite Position Type: C2H Openings: 20 Good Communication skills Notice period - Immediate joiners Local Bangalore candidate Interested candidate share there updated resume sangeeta.t@varite.com For more information contact sangeeta @ 8929376486 Company Name: VARITE INDIA PRIVATE LIMITED About The Client: An American multinational computer technology company headquartered in Austin, Texas, United States. A global technology provider offers a comprehensive suite of software solutions, encompassing a flagship relational database management system, enterprise resource planning, customer relationship management, and cloud services. Additionally, the company delivers middleware products, business intelligence tools, and industry-specific applications, addressing diverse business needs worldwide. As a key player in application development, it stewards a widely utilized programming language. These software solutions cater to businesses across various industries and are widely adopted for scalability, security, and innovation. About The Job: Image, Video and text annotators contribute to the development of AI and machine learning systems by providing accurately labeled datasets, enabling the training and evaluation of algorithms for various applications such as object detection, image classification, semantic segmentation, and more. Should have two years of experience in labeling or annotating various elements within images/videos or visual data Should have annotated temporal information within videos, such as tracking the movement or trajectory of objects, identifying key frames, or annotating specific actions or events occurring over time. Should have annotated images by marking and labeling specific objects, regions, or features within the images. This may involve drawing bounding boxes around objects, highlighting points of interest, or segmenting objects using polygons or masks Ensure the quality and accuracy of annotated data by reviewing and verifying annotations for correctness and consistency Follow and adhere to specific annotation guidelines, instructions, or specifications provided by the project or company. This includes understanding and applying domain-specific knowledge, as well as adapting to evolving requirements. Collaborate with team members, project managers, or stakeholders to address any questions, concerns, or issues related to the annotation process. Effective communication is essential for ensuring consistent and accurate annotations. Experience working on complex annotation tasks including 3D lidar labeling. Excellent written and verbal communication skills to convey technical challenges and updates. Report any data quality issues or tool-related challenges to the project leads in a timely manner. Essential Job Functions : Minimum 2+ years of hands-on experience in data annotation across image, video, and/or text datasets. Should have completed graduation with any degree with strong communication skills in English (reading, writing and speaking) Strong proficiency with annotation techniques like interpolation and object tracking. Experience working on complex annotation tasks including 3D lidar labeling. Solid understanding of various annotation techniques: bounding boxes, segmentation, polygonal labeling, keypoint annotation, etc. Ability to follow complex project guidelines with a high level of attention to detail. Team player with the ability to work collaboratively and independently in a fast-paced environment. Qualifications: B.TECH/ B.E/ MCA/ BCA Good Communication skills How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status. Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE. Exp Req - Referral Bonus 0 - 2 Yrs. - INR 5,000 2 - 6 Yrs. - INR 7,500 6 + Yrs. - INR 10,000 About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Role & responsibilities Ability to interpret satellite imagery, DEMs, and LULC datasets Interpretation of satellite imageries and preparation of a base map for large regions Collaborate with ground survey teams to integrate data into GIS databases Create orthomosaic maps, 3D models, DEM, DSM, DTM, Contours Prepare detailed GIS-based maps, layouts, and drawings using ArcGIS, AutoCAD, and other GIS tools Digitize, edit, maintain spatial datasets (land use, topography, utility networks) Perform spatial analysis, georeferencing, and data conversion from various formats Ensure accuracy & consistency of spatial data by validating and updating GIS layers Support urban planning and regional development projects with thematic mapping and data visualization Generate reports, presentations, and documentation related to GIS outputs Rubber sheet Cadastral Maps Preferred candidate profile •Degree - Remote Sensing, Geoinformatics, Geography, Urban Planning related field •Minimum 3 years of experience •Must have proven experience of working in 1 large GIS based regional plans and 1 GIS based urban development project

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Dear Candidate, We are hiring a Machine Learning Engineer to develop and deploy AI models for real-world applications. The role requires expertise in data science, model training, and cloud-based ML solutions. Key Responsibilities: Build and deploy ML models using TensorFlow, PyTorch, or Scikit-learn. Optimize models for performance and scalability. Develop data pipelines and feature engineering processes. Deploy ML solutions using AWS SageMaker, Azure ML, or Google Vertex AI. Collaborate with data scientists and software engineers to integrate AI into products. Required Skills & Qualifications: Machine Learning: TensorFlow, PyTorch, Scikit-learn Programming: Python, R Cloud ML: AWS SageMaker, Azure ML, Google Vertex AI Experience in NLP, Computer Vision, or Time Series Analysis is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Job description Company Description Doozy Robotics designs flexible and intelligent autonomous mobile robots for the industry. The company offers Humanoid and Autonomous Robots that assist in both commercial and industrial applications. Doozy Robotics is at the forefront of innovation, developing advanced robotics solutions tailored to enhance efficiency and productivity. As a fast-growing leader in the robotics field, Doozy Robotics provides cutting-edge technologies and solutions to meet the evolving needs of various industries. Role Description Key Responsibilities Perception System Development: Design and implement perception algorithms for object detection, tracking, and scene understanding using data from cameras, LiDAR, radar, and other sensors. Sensor Fusion: Develop sensor fusion techniques to integrate data from multiple sources, enhancing the accuracy and reliability of environmental perception. Computer Vision: Apply computer vision methodologies for real-time image processing, feature extraction, and pattern recognition in dynamic environments. AI/ML Model Development: Build and train machine learning models for tasks such as semantic segmentation, depth estimation, and anomaly detection. Robotics Integration: Collaborate with robotics engineers to integrate perception systems into autonomous platforms, ensuring seamless operation in real-world scenarios. Collaboration: Work closely with cross-functional teams to develop AI-powered vision systems, contributing to the advancement of autonomous technologies. Qualifications Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. Experience: 3+ years of hands-on experience in AI/ML development, computer vision, and sensor fusion. Technical Skills: Proficiency in programming languages such as Python, C++, and ROS. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with sensor technologies (e.g., LiDAR, radar, cameras) and their integration. Knowledge of SLAM, 3D reconstruction, and path planning algorithms. Soft Skills: Strong problem-solving abilities, effective communication, and a collaborative mindset.

Backend/Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Knowledge of Data Annotation preffered -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Assessment:- Data Annotation assessment Operations Round Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Good Knowledge of Data Annotation -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

International Process Salary - 22-23,000 In-Hand / Experience - 17,000 Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

Salary - 22,000 / Experience 17,000 / Fresher Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotational shift / 2 day Rotational week off

International Process Salary - 22,000 In-Hand / Experience - 17,000 In-Hand/ Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Salary - 25,000 / Experienced 20,000 / Freshers Graduation mandatory 5 Day working / Rotation shift / 2 day Rotation week off Assessment :- Data Annotation assessment Operations Round

Salary - 25,000 / Experience 20,000 / Fresher Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off