Programming Languages: Proficiency in Python for developing and implementing AI modelsDeep Learning Frameworks: Expertise in TensorFlow, PyTorch, or Keras for building and training CNNsImage Processing Libraries: Familiarity with OpenCV, scikit-image, and PIL for handling medical imagesBig Data Technologies: Experience with Hadoop, Spark, and SQL for managing large datasets Domain KnowledgeMedical Imaging: In-depth understanding of X-ray imaging techniques and interpretationConvolutional Neural Networks: Extensive knowledge of CNN architectures and their applications in image analysisComputer Vision:Strong background in image processing, segmentation, and feature extractionRadiology: Familiarity with common pathologies detectable in chest X-rays, such as pneumonia and pulmonary nodules Role & responsibilities - Develop and implement CNN models for automated detection and classification of abnormalities in chest X-rays- Design and optimize deep learning algorithms for image segmentation, classification, and reconstruction- Collaborate with radiologists and medical professionals to improve model accuracy and clinical relevance- Evaluate and enhance model performance using various metrics and validation techniques Projects and Achievements- Successfully implemented a CNN-based model for pneumonia detection in chest X-rays with high sensitivity and specificity- Developed a deep learning framework for 3D visualization of X-ray data, significantly reducing processing time- Contributed to the creation of computer-aided diagnosis (CAD) systems for pathology image analysis- Implemented data augmentation techniques to improve model generalization across diverse patient populationsPreferred candidate profile - Ph.D. or Master's degree in Computer Science, Data Science, or a related field- Certifications in deep learning, such as Deep Learning Specialization from Coursera or similar programs- Continuous learning through workshops, conferences, and online courses in AI and medical imaging In addition, the individual is expected to stay updated with the latest advancements in AI and deep learning for medical image analysis

Snowflake Data EngineerOverall Experience : 6+ years of experience in Snowflake and Python. Knowledge of Power BI isadded advantageExperience of 5+ years in data preparation. BI projects to understand business requirements in BIcontext and understand data model to transform raw data into meaningful data using snowflake andPython.Designing and creating data models that define the structure and relationships of various dataelements within the organization. This includes conceptual, logical, and physical data models, whichhelp ensure data accuracy, consistency, and integrity.Designing data integration solutions that allow different systems and applications to share andexchange data seamlessly. This may involve selecting appropriate integration technologies,developing ETL (Extract, Transform, Load) processes, and ensuring data quality during theintegration process.Create and maintain optimal data pipeline architecture.Good knowledge of cloud platforms like AWS/Azure/GCPGood hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods(Snow pipe & others), time travel and data sharing and other Snowflake capabilitiesGood knowledge of Python/Py Spark, advanced features of PythonSupport business development efforts (proposals and client presentations).Knowledge on EBS Modules like Finance, HCM, Procurement will be an added advantage.Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products toexceed high expectations is a measure of success.Excellent leadership and interpersonal skills.Eager to contribute to a team-oriented environment.Strong prioritization and multi-tasking skills with a track record of meeting deadlines.Ability to be creative and analytical in a problem-solving environment.Effective verbal and written communication skills.Adaptable to new environments, people, technologies, and processesAbility to manage ambiguity and solve undefined problemsRole & responsibilities

Data Warehousing ConceptsData TransformationMS SQL ServerPerformance tuningETL - SSISSnowflakeReporting/ Dashboarding - PowerBI - SSRS - TableauRole & responsibilities

1. Audio Signal Processing Engineer Responsibilities: Enhance audio quality for cloned voices (e.g., noise reduction, pitch correction). Ensure seamless integration of dubbed audio with original video (e.g., matching background noise or room acoustics). Develop algorithms to adjust timing and cadence for natural-sounding dialogue. Emotion Detection Skills Needed: DSP (digital signal processing), audio engineering, tools like MATLAB or Librosa, familiarity with audio codecs.

Role & responsibilities Design, develop, and implement integrations between various applications and systems using Oracle Integration Cloud (OIC).Work closely with stakeholders to gather requirements and design integration solutions that meet business needs.Develop and maintain documentation for integration processes, configurations, and customizations.Troubleshoot and resolve issues related to integrations in a timely manner.Collaborate with cross-functional teams to ensure successful delivery of integration projects.Stay current with Oracle Integration Cloud (OIC) updates and new features to continuously improve integration solutions.Provide technical guidance and support to junior developers as needed. Requirements:Bachelor's degree in computer science, Information Technology, or related field.3 - 6 years of experience working with Oracle Integration Cloud (OIC) platform.Hands-on experience with Oracle Integration Cloud (OIC) adapters, connections, and integrations.Strong understanding of integration design patterns and best practices.Excellent communication and collaboration skills.Ability to work independently and as part of a team in a fast-paced environment.Oracle Integration Cloud (OIC) certification is a plus.

Job description - Snowflake Data engineerTotal Positions - 6Job Location - Pune, Hyd, Kolkata (hybrid)Notice period -Immediate to 1 monthSnowflake Data EngineerOverall Experience : 6+ years of experience in Snowflake and Python. Knowledge of Power BI isadded advantageExperience of 5+ years in data preparation. BI projects to understand business requirements in BIcontext and understand data model to transform raw data into meaningful data using snowflake andPython.Designing and creating data models that define the structure and relationships of various dataelements within the organization. This includes conceptual, logical, and physical data models, whichhelp ensure data accuracy, consistency, and integrity.Designing data integration solutions that allow different systems and applications to share andexchange data seamlessly. This may involve selecting appropriate integration technologies,developing ETL (Extract, Transform, Load) processes, and ensuring data quality during theintegration process.Create and maintain optimal data pipeline architecture.Good knowledge of cloud platforms like AWS/Azure/GCPGood hands-on knowledge of Snowflake is a must. Experience with various data ingestion methods(Snow pipe & others), time travel and data sharing and other Snowflake capabilitiesGood knowledge of Python/Py Spark, advanced features of PythonSupport business development efforts (proposals and client presentations).Knowledge on EBS Modules like Finance, HCM, Procurement will be an added advantage.Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products toexceed high expectations is a measure of success.Excellent leadership and interpersonal skills.Eager to contribute to a team-oriented environment.Strong prioritization and multi-tasking skills with a track record of meeting deadlines.Ability to be creative and analytical in a problem-solving environment.Effective verbal and written communication skills.Adaptable to new environments, people, technologies, and processesAbility to manage ambiguity and solve undefined problems.Role & responsibilities

JD - Hybrid Cloud Architect.An Enterprise Architect with a extensive experience in digital transformation involved in design, implementation, and optimization of IT solutionsRole & ResponsibilitiesDesign and implement scalable and resilient architecture solutions for Hybrid cloud (Private cloud Platform, Migrations, Infra automations, Application modernization) aligned with the customer business objectives, industry best practices, and regulatory requirementsProvide guidance and leadership on architecture and enterprise architecture best practices and standards.Collaborate with business stakeholders to understand the objectives, requirements, and translate to IT solutions.Analyze the current state and future state of the enterprise architecture and identify gaps, opportunities, and recommendations for improvement.Create and maintain enterprise architecture artifacts as in roadmaps, and frameworks.Evaluate and recommend emerging technologies, methodologies, and solutions that can enhance the solutions.Facilitate and promote the adoption and governance of enterprise architecture principles, policies, and standards across GCC.QualificationsBachelor's degree in Computer Science, Information Systems, Engineering, or related field with 10+ years of relevant experience in enterprise architecture or IT consulting.Demonstrated experience. Certified and proficient in one or more enterprise architecture frameworks, such as TOGAF, FEAF, or Gartner, with proven track record in designing, developing, and implementing enterprise architecture solutions using industry standards and best practices for large-scale and complex organizationsAbility to understand enterprise IT landscape and is capable of aligning to organizations visionKnowledgeable of current and emerging technologies, trends, and practices in areas such as cloud computing, data analytics, cybersecurity, and digital transformation.Providing thought leadership to architect next generation solution, providing technical direction around emerging trends and cutting edge technical solutions.Strong leadership, communication, and stakeholder management skills, with the ability to articulate and align the enterprise architecture vision, strategy, and roadmap across the organization.Strong analytical, critical thinking, and problem-solving skills, with the ability to evaluate and compare alternative enterprise architecture options and recommend optimal solutions based on business needs, technical feasibility, and cost-effectiveness.Strong knowledge and experience in technologies platforms (vmware, azure, stack, Nutanix, AWS, GCP), Networking, Storage, Security, Cloud Architectures, Infrastructure automation, Integrations, Databases, Application modernization.Good understanding of Industry vertical based solutions.Role & responsibilities Preferred candidate profile Perks and benefits

Technical Skillset: E2E Program Management. Expert with MS Office Suite Eligibility: You have > 7+ years of relevant working experience: proven successful management of multiple End-To-End major business/technical projects involving IT development.You are handling multi-vendor / multi-environment projects cascade with multiple teams across geography. Should have experience working with EU based Telecom clients. Familiar with Agile Project management methodologies.You are mastering the following soft skills: communication skills, organizing, problem solving, priority setting and Agile mindset.You can build out quickly a strong & supportive virtual network throughout the company, while working remotely.You are open-minded, eager to learn, a team player and you can interact with a variety of teams across the whole company. Ability to deal with ambiguity and handle conflicts (interpersonal skills, diplomacy, serene debate).Can facilitate large meetings, workshops, and presentations to senior management.Work autonomously and prioritize your own time when working on multiple tasks for multiple teams.Be proactive on issues & risks and strongly result driven.You are fluent (spoken and written) in English.Roles and Responsibilities: The epic owner is accountable for delivering his epics on time, on budget and in scope with the needed quality to ensure a successful launch.Plans and leads implementation of IT development initiatives, aligns the release planning, and proposes appropriate delivery slices and release slots.Adopts the Agile methodology.Has a good understanding of the business drivers and of the proposed technical solution, enabling him to challenge both business & technical teams to secure planning and budget.Efficiently communicates with the key stakeholders.Identifies risks and proposes mitigation plans.Can deal with changes and adapt easily to changing environments.Can handle multiple epics of medium to large complexity in parallel.

Position Overview: We are seeking an experienced .NET Full Stack Developer with 6-10 years of professional experience, specializing in both Angular and React frameworks. The ideal candidate will have a strong background in designing, developing, and maintaining scalable web applications, and will be proficient in both front-end and back-end technologies.Key Responsibilities:Design, develop, test, and maintain full-stack applications using .NET, C#, JavaScript, Angular, and React.naukri.comCollaborate with cross-functional teams to define, design, and ship new features.Ensure the performance, quality, and responsiveness of applications.Identify and correct bottlenecks and fix bugs.Help maintain code quality, organization, and automation.Stay updated with emerging technologies and apply them into operations and activities.Required Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.6-10 years of professional experience in full-stack development.Strong proficiency in .NET Framework, C#, and ASP.NET MVC.Extensive experience with front-end technologies, including JavaScript, Angular, and React.Experience with RESTful APIs and integrating third-party services.Familiarity with database technologies such as SQL Server or Oracle.Understanding of code versioning tools, such as Git.Strong problem-solving skills and attention to detail.Excellent communication and teamwork skills.Preferred Qualifications:Experience with cloud platforms like Azure or AWS.Knowledge of containerization technologies such as Docker.Familiarity with CI/CD pipelines and DevOps practices.

Architecture & Solution Design:Define and develop the overall enterprise architecture for AI-based supply chain software solutions.Design scalable, secure, and high-performance system architectures that integrate AI, data analytics, and automation.Ensure alignment of technology architecture with business objectives and digital transformation goals.Drive cloud-based (AWS, Azure, GCP) architecture strategies and ensure optimal infrastructure scalability.Develop integration frameworks to connect ERP, WMS, TMS, IoT, and other supply chain systems.Resource Planning & Budgeting:Define and manage the technology resource plan, including infrastructure, cloud services, and software licenses.Estimate and track project budgets for system architecture, software development, and AI/ML implementations.Ensure cost-effective cloud infrastructure use (AWS, Azure, GCP) and recommend cost optimization strategies.Forecast and manage resource allocation, ensuring the right skills and capacity are available for project execution.Work with finance teams to align IT budgets with business objectives, ensuring maximum ROI.AI & Data Strategy:Define the strategy for incorporating AI/ML models into supply chain planning, forecasting, and optimization.Work closely with data scientists to design and implement AI/ML pipelines.Ensure data governance, quality, and security across distributed systems.Develop predictive models for demand forecasting, inventory management, and logistics optimization.Technology Leadership & Execution:Collaborate with product management, software development, and data teams to define technical roadmaps.Establish best practices for software development, microservices architecture, DevOps, and CI/CD pipelines.Drive modular and API-driven architecture for seamless integrations with third-party platforms.Evaluate emerging technologies (AI, Blockchain, IoT, Digital Twins) and recommend adoption strategies.Stakeholder & Team Collaboration:Act as a bridge between business and technology teams, ensuring alignment on technical decisions.Work closely with clients, partners, and vendors to define system requirements and architecture.Provide architectural guidance to development teams, ensuring adherence to standards.Lead architecture governance, ensuring compliance with security, performance, and regulatory requirements.Performance Optimization & Risk Management:Identify and mitigate technology risks, ensuring system reliability and fault tolerance.Optimize system performance, ensuring high availability and resilience.Develop disaster recovery and business continuity strategies.Required Qualifications:Bachelor's/masters degree in computer science, Information Systems, or a related field.10+ years of experience in enterprise or system architecture, with a focus on supply chain software solutions.Expertise in AI/ML, cloud computing, big data, and enterprise integration frameworks.Strong experience in microservices, event-driven architecture, and API development.Hands-on experience with ERP, WMS, TMS, and supply chain management platforms.Knowledge of DevOps, CI/CD, containerization (Docker, Kubernetes).Proficiency in programming languages like Python, Java, or Node.js.Familiarity with AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn.Strong analytical and problem-solving skills.Excellent communication, leadership, and stakeholder management skills.Preferred Qualifications:Experience in digital transformation initiatives within supply chain operations.Certification in TOGAF, AWS Solutions Architect, or similar enterprise architecture frameworks.Exposure to blockchain, IoT, and digital twin solutions for supply chain optimization.Role & responsibilities Preferred candidate profile Perks and benefits

JOB DESCRIPTION:We are seeking an experienced and dynamic Technical Recruitment Lead/Manager to lead and mentor a team of recruiters specializing in staffing. The ideal candidate will possess a deep understanding of recruitment processes, billing models, and Just-in-Time (JIT) hiring while demonstrating strong leadership and client management skills in a fast-paced environment.Key Responsibilities:Ensuring performance metrics are met and recruitment targets are achieved.Should have hands on experience in sourcing.Provide guidance and coaching to junior team members to enhance productivity and overall recruitment effectiveness.Ensure that team members are effectively trained on sourcing strategies, client needs, and staffing best practices.Recruitment Processes and Tools:Guide the team in identifying and attracting the right candidates efficiently.Continuously evaluate and enhance recruitment tools and processes to meet client needs effectively.Recruitment Process & Strategy Execution:Lead and oversee the recruitment lifecycle for contract-to-hire positions, focusing on meeting client timelines and candidate expectations.Utilize recruitment software, job boards, and social media platforms to source top talent.Source and screen candidates for a variety of roles, particularly for specialized technical positions, through job boards, networking, and referrals.Develop sourcing strategies tailored to the specific needs of the client, including active engagement in local and global talent pools.Conduct interviews, technical assessments, and provide feedback to hiring managers.Guide the team in identifying and attracting the right candidates efficiently.Continuously evaluate and enhance recruitment tools and processes to meet client needs effectively.Client Management & Relationship Building:Act as the primary point of contact for clients, managing relationships with both internal and external stakeholders.Collaborate with clients to understand staffing requirements, develop talent strategies, and ensure successful hiring outcomes.Maintain excellent communication with clients to ensure satisfaction with the recruitment process and candidate quality.Problem-Solving and Proactivity:Address recruitment challenges with a proactive and solution-oriented approach.Maintaining a go-getter attitude to drive results in a competitive environment.act Management:Manage the administration and negotiation of MSAs (Master Service Agreements) and NDAs (Non-Disclosure Agreements) with vendors.Ensure compliance with all contractual obligations, including adherence to agreed terms for contract-to-hire placements and the management of all legal documents.Oversee the successful transition of candidates from contract to permanent status, ensuring a smooth experience for both the client and candidate.Reporting & Performance Metrics:Monitor and report on key recruitment metrics, such as time-to-fill, quality of hire, cost-per-hire, and client satisfaction.Provide detailed reports to senior leadership and clients, offering insights into recruitment trends, challenges, and areas for improvement.Analyze recruitment data to refine strategies and improve team efficiency.cations:10-15 years of experience in technical recruitment, with a proven track record of success in staffing firms or IT services companies.5+ years of experience managing recruitment , with demonstrated ability to lead and motivate a team to achieve high performance.Proficiency in recruitment tools, job boards, and social media platforms.Should have hands-on experience in sourcing and able to make few closures alongside team.Excellent understanding of contract staffing billing models and JIT hiring practices.Strong problem-solving skills and ability to handle multiple priorities in a fast-paced environment.Client handling experience, with excellent interpersonal and communication skills to build and nurture relationships.Proven ability to provide strategic insights and market trends to clients and stakeholders.Role & responsibilities

Job Description:Responsibilities: Collaborate with cross-functional teams to identify opportunities for AI and Data to solve business challenges• Design and implement data pipelines to collect, process, and integrate data from various sources• Develop and optimize machine learning and deep learning models for predictive analytics, computer vision, natural language processing, and more• Leverage big data technologies like Hadoop, Spark, and NoSQL databases to handle large-scale datasets• Explore and apply generative AI techniques to generate synthetic data, create content, and automate tasks• Implement MLOps practices to streamline the model development lifecycle and enable continuous deployment• Present findings and recommendations to stakeholders in a clear and compelling manner• Lead cross-functional teams to deliver AI projects on time and within budget• Stay current with the latest advancements in AI, data engineering, and related technologiesSkills: 4+ years of experience in data science, machine learning, and AI• Proficiency in Python, SQL and data visualization tools like Tableau or Power BI• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Keras• Knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI• Hands-on experience with big data technologies such as Hadoop, Spark, and NoSQL databases• Understanding of MLOps principles and tools for model versioning, monitoring, and deployment• Familiarity with Kubernetes core concepts like pods, deployments, services, and ingress• Strong communication and leadership skills to effectively collaborate with cross-functional teams• Ability to work in a fast-paced, agile environment and adapt to changing priorities.Role & responsibilities