1114 Aiml Jobs - Page 10

Strong coding ability in Python & proficiency in SQL Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate) Practical exp with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows Building and optimizing RAG pipelines. Required Candidate profile We are looking for a highly capable AI Engineer to contribute to the design and delivery of intelligent, scalable AI solutions Familiarity with LangChain, LlamaIndex, or similar orchestration tools.

Role & responsibilities Hi, We are hiring Gen AI Developer Please share us the updated profile to mahesh.mattaparthi@cerebra-consulting.com Position: Gen AI Developer Location: Noida, Bangalore, Hyderabad, Pune Job Type: Permanent Experience: 10+ Years Notice Period: 15 Days /Immediate joiners preferred. Job Description: Python AI/ML Gen AI Authentic AI Thanks & Regards Mahesh Mattaparthi IT Recruiter www.cerebra-consulting.com Preferred candidate profile

Technical Expertise: Must Have Proficient in Java (must have ) . Hands-on experience with AWS AI services such as AWS Bedrock and Sagemaker. Good to have Python(good to have) programming with experience in libraries like TensorFlow, PyTorch, NumPy, and Pandas Experience with DevOps practices, including CI/CD pipelines, system monitoring, and troubleshooting in a production environment. Familiarity with other platforms like Google Gemini, and Copilot technologies. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Ability to work with teams in a dynamic, fast-paced environment. Key Responsibilities: Design, develop, and implement AI and machine learning models using AWS AI services like AWS bedrock and Sagemaker. Fine-tune and optimize AI models for business use cases. Implement Generative AI solutions using AWS Bedrock and Java. Write efficient, clean, and maintainable Java/Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Experience: 5 to 8 years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Mandatory Competencies Programming Language - Java - Core Java (java 8+) Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Middleware - API Middleware - Microservices

We are looking for a skilled AI/ML Ops Engineer to join our team to bridge the gap between data science and production systems. You will be responsible for deploying, monitoring, and maintaining machine learning models and data pipelines at scale. This role involves close collaboration with data scientists, engineers, and DevOps to ensure that ML solutions are robust, scalable, and reliable. Key Responsibilities: Design and implement ML pipelines for model training, validation, testing, and deployment. Automate ML workflows using tools such as MLflow, Kubeflow, Airflow, or similar. Deploy machine learning models to production environments (cloud). Monitor model performance, drift, and data quality in production. Collaborate with data scientists to improve model robustness and deployment readiness. Ensure CI/CD practices for ML models using tools like Jenkins, GitHub Actions, or GitLab CI. Optimize compute resources and manage model versioning, reproducibility, and rollback strategies. Work with cloud platforms AWS and containerization tools like Kubernetes (AKS). Ensure compliance with data privacy and security standards (e.g., GDPR, HIPAA). Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. 5+ years of experience in DevOps, Data Engineering, or ML Engineering roles. Strong programming skills in Python; familiarity with R, Scala, or Java is a plus. Experience with automating ML workflows using tools such as MLflow, Kubeflow, Airflow, or similar Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost. Experience with ML model monitoring and alerting frameworks (e.g., Evidently, Prometheus, Grafana). Familiarity with data orchestration and ETL/ELT tools (Airflow, dbt, Prefect). Preferred Qualifications: Experience with large-scale data systems (Spark, Hadoop). Knowledge of feature stores (Feast, Tecton). Experience with streaming data (Kafka, Flink). Experience working in regulated environments (finance, healthcare, etc.). Certifications in cloud platforms or ML tools. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration with cross-functional teams. Adaptable and eager to learn new technologies. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Development Tools and Management - Development Tools and Management - CI/CD Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Big Data - Big Data - Hadoop Big Data - Big Data - SPARK Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration

Required skills: 5 + years of experience in IT Technology. 2+ years of experience in AI / ML with strong working knowledge in neural networks. 2+ years of data engineering experience preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry or AWS Lambda 2+ years of python coding using numpy, vectorization and Tensorflow. 2+ years of experience leading complex enterprise-wide integration programs and efforts as an individual contributor Preferred Skills: Mathematics or physics degree. 2+ years of technical knowledge in cloud technologies such as AWS, Azure, GCP Excellent verbal, written, and interpersonal communication skills Ability to provide strong customer service.

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role. Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices. Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query). Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink). Soft Skills: Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Database - Database Programming - SQL Artifical Intelligence - AI Tools - TensorFlow Cloud - AWS - ECS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. --- Required Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges.

Role Description 1. AI Product Strategy & Execution Define and drive the product vision, roadmap, and execution strategy for AI-powered solutions, with a focus on computer vision technologies and real-time AI models. Own key product KPIs, including model accuracy, latency, adoption rate, and computational efficiency for cloud/edge deployments. Lead the end-to-end product lifecycle, from conceptualization and prototyping to large-scale deployment. Ensure scalability, modularity, and reusability of AI & Engineering components across different use cases, by working closely with Engineering and AI scientist team . Optimize AI model performance for edge devices, low-latency processing, and cloud-scale inference. Establish robust processes for development, QA testing, and deployments within the team. 2. Product Engineering for Cloud and Edge deployments AI Product Engineering & Scalable Architecture Architect and optimize scalable AI/ML pipelines, ensuring low-latency, high-availability systems. Collaborate with AI/ML teams to integrate Computer Vision, Deep Learning, and Reinforcement Learning models into production systems. Cloud Engineering & Infrastructure Design and implement highly scalable, distributed cloud infrastructure on Cloud (AWS, Azure, or GCP) Implement containerization (Docker, Kubernetes) and microservices architecture for AI-driven applications Edge Deployment & Optimization AI model deployment on edge devices, ensuring efficiency in resource-constrained environments. 3. AI Solutioning & Technical Problem-Solving Partner with AI and engineering teams to define, train, and deploy computer vision models for real-time applications. Guide experimentation and model fine-tuning to improve object detection, tracking, segmentation, and classification tasks. Drive decisions on model architectures (CNNs, Vision Transformers, YOLO,Reinforcement learning etc.) and deployment strategies for cloud (AWS/GCP/Azure) and edge (NVIDIA Jetson, TPUs). Work with data science teams to ensure high-quality labeled datasets, model explainability, and model stability. Optimize AI pipelines for real-time inferencing, multi-camera vision processing, and computational efficiency. Balance experimentation and rapid delivery, ensuring faster time-to-market for AI innovations. Technical Skills Technical Acumen: Strong understanding of computer vision models (CNNs, Vision Transformers, YOLO, TrackNet, etc.), data pipelines, and AI/ML deployment architectures Cloud & Edge AI Deployment: Experience in deploying AI models on cloud (AWS/GCP/Azure) and edge (Jetson, FPGAs, TPUs) environments, optimizing for latency and efficiency. Strategic Thinking & Solutioning: Ability to define AI-driven solutions for complex, open-ended problems. Nice-to-have skills Stakeholder & CXO Influence: Proven ability to engage and influence senior executives, business leaders, and technical teams. Agile Product Development: Experience with JIRA, Scrum, backlog grooming, and iterative development. Excellent Communication: Ability to articulate technical AI concepts to both technical and non-technical audiences. Qualifications Experience in AI Product Management: 13-16 years in product management, with a strong track record in AI/ML-powered solutions, real-time data products, or high-tech innovations.

School of Computer Science & Engineering - Career Point University, Kota invites applications from prospective & eligible candidates for the vacant post of Assistant Professor - CSE. The primary job responsibility is to take UG/PG classes along with active participation in other academic and administrative works. Apart from classroom teaching, the candidate is also required to arrange seminars and conferences and supervise student's work. He/she should be able to collaborate with other organizations in research and academics. Applicant should hold PhD degree in the relevant subject from a reputed University / University Affiliated Institution. Also, the candidate should have proven credentials in the form of published work in journals/books or has earned patents or developed technologies etc. Candidates with NET will be preferred. Interested Candidates can share their resumes at jobs@cpur.edu.in or call @ 9057532005.

Key Responsibilities: Own the execution of end-to-end product lifecycle for Reklaim hardware products: from concept and prototyping to manufacturing, QA and field deployment Serve as the glue between engineering functions (AI, data science, embedded systems, mechanical design, fabrication) to ensure aligned execution and milestone delivery Collaborate with cross-functional teams to develop modular, scalable, and demography-aware devices (urban/rural fit, portable, low-MOQ deployable) Translate business goals into detailed product requirements, user stories, and acceptance criteria for agile hardware-software co-development Drive initiatives for cost optimization (BOM reduction, shared inventory use), feature refinement, and design miniaturization Maintain and evolve a clear product roadmap, aligning hardware releases with AI and cloud integration timelines. Facilitate sprint planning, reviews, and daily stand-ups to ensure visibility, prioritization, and velocity of deliverables Engage with procurement, EMS vendors, and QC teams to ensure timely production, quality assurance, and compliance Act as the voice of the customer - conduct feedback loops, user testing, and field trials for continual improvement Own and evolve product documentation, specs, testing plans, and validation reports for each SKU. Qualifications: Bachelors or Master’s degree in Electronics, Mechanical, Industrial Design, or a related engineering field 3 to 6 years experience as a Product Owner or Technical Program Manager, preferably in IoT, embedded systems, or AI-hardware integration Strong acumen in embedded firmware, mechanical integration, and edge AI use-cases (e.g., image classification, object detection) Familiarity with hardware life cycles: from PCB design, component sourcing, to fabrication and enclosure validation Experience working in agile teams and familiarity with hardware/software co-development cycles Understanding of AI model integration, OTA pipeline design, and managing cross-device intelligence features Excellent communication skills and ability to translate technical details into actionable business insights Preferred Skills: Exposure to AI/ML, particularly in computer vision, object detection, or model deployment on edge devices Experience coordinating with EMS vendors, fabrication shops, and certification agencies Working knowledge of OTA pipelines, eSIM fleet management, and device-level cybersecurity Past experience in delivering cost-sensitive products for Indian or emerging markets Familiarity with UX for hardware and feedback mechanisms via mobile/web interfaces

Job Description: Embedded Systems Lead Drones, UGVs & Robotics Location: Hyderabad (On-site) Function: R&D | Embedded Systems Reports to: VP - R&D / CTO About the Role We are looking for a seasoned and hands-on Embedded Systems Lead to architect, develop, and optimize the embedded platforms driving our UAVs, UGVs, and autonomous robotics systems. This role is critical to advancing capabilities in battery optimization, obstacle avoidance, and navigation autonomy, ensuring high-reliability embedded solutions in dynamic and rugged environments. Key Responsibilities Embedded Systems Architecture & Development Architect and develop embedded solutions for UAVs, UGVs, and robotics, with a focus on autonomy and reliability. Design and optimize firmware for microcontrollers, sensor interfacing, and real-time processing. Battery Systems & Power Optimization Collaborate with electronics and battery teams to implement and optimize Battery Management Systems (BMS) for high-efficiency power usage. Optimize energy consumption strategies across sensors, compute modules, and communication systems. Obstacle Avoidance & Navigation Integrate and optimize sensor fusion algorithms combining data from LiDAR, stereo cameras, IMUs, GNSS, ultrasonic sensors, and radar. Collaborate with AI and systems software teams to enable real-time SLAM, path planning, and autonomous navigation. Hardware-Software Co-Design Work closely with the Electronics, Mechanical, and Systems Integration teams to ensure tight coupling between hardware capabilities and embedded firmware. Review and contribute to PCB design for signal integrity, thermal considerations, and EMI/EMC compliance. Team Leadership & Technical Mentorship Build, mentor, and lead a high-performance embedded engineering team. Conduct technical reviews and provide architectural guidance. Testing, Validation & Compliance Define and drive testing strategies for embedded platforms under real-world and extreme conditions (temperature, vibration, dust). Implement robust debugging, diagnostics, and performance monitoring mechanisms. Required Skills & Experience Bachelors/Masters in Electronics, Embedded Systems, Robotics, or related field. 8+ years experience in embedded systems development, ideally in drones, UGVs, robotics, or aerospace electronics. Expertise in Embedded C/C++, RTOS, and low-level driver development. Power management and battery systems integration. Sensor fusion and control systems for navigation. PCB design tools and hardware debugging (Altium, Eagle, oscilloscopes, JTAG). Communication protocols: CAN, I2C, SPI, UART. Prior experience with SLAM, obstacle avoidance systems, or autonomy-enabling technologies is highly preferred. Preferred Skills Familiarity with AI/ML inference on embedded platforms for perception tasks. Experience with motor control, ESC optimization, and propulsion systems. Knowledge of safety-critical systems and functional safety standards (e.g., ISO 26262). Personal Attributes Problem-solving mindset with a hands-on approach. Strong leadership skills and ability to work in a cross-functional startup environment. Passionate about building cutting-edge autonomous systems. Compensation Competitive and commensurate with experience and capability. How to Apply Send your resume, project portfolio, or technical write-ups to careers@marutdrones.com

Technical Expertise: Must Have: o Experience in Emma orchestration engine is a must o Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). o Hands-on experience with Azure open AI and related tools and services. o Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment. Experience: 7 + years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Key Responsibilities: Design, develop, and implement complex Generative AI solutions with high accuracy and for complex use cases. Utilize agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Leverage Azure OpenAI ecosystems and tooling, including training models, advanced prompting, Assistant API, and agent curation. Write efficient, clean, and maintainable Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Fine-tune and optimize AI models for business use cases. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Programming Language - Python - Flask Programming Language - Python - Django Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Data Science and Machine Learning - Data Science and Machine Learning - Azure ML Beh - Communication and collaboration

We are seeking a highly skilled and hands-on AI Architect to lead the development and deployment of AI-driven solutions. This role is pivotal in building internal AI capabilities, creating scalable solutions for operational efficiency, and driving innovation in client-facing offerings. The ideal candidate will have deep technical expertise, a passion for AI, and the ability to translate business needs into impactful AI solutions. Key Responsibilities: AI Strategy & Architecture: Define and drive the AI architecture roadmap aligned with business goals. Evaluate and select appropriate AI/ML technologies, frameworks, and platforms. Solution Development: Design and develop AI solutions for internal use within Managed Services (e.g., automation, predictive analytics, intelligent monitoring). Build reusable components and frameworks to accelerate AI adoption across the organization. Client-Facing Innovation: Collaborate with sales and marketing teams to create AI offerings for external clients. Participate in client engagements to understand needs and propose AI-driven solutions. Drive customer conversations to envision the art of the possible with AI for customers as relevant to the customers industry Technical Leadership: Mentor and upskill teams across the services organization in AI/ML technologies. Establish best practices for model development, deployment, and monitoring. Collaboration & Delivery: Work closely with cross-functional teams including data engineering, DevOps, and domain experts. Ensure timely delivery of AI projects with high quality and business impact. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. 8+ years of experience in software development, with at least 4 years in AI/ML solution architecture. Proven hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps practices. Experience in deploying AI solutions in production environments. Excellent communication and stakeholder management skills. Willingness to travel internationally (US and Canada) for client and internal engagements. Preferred Qualifications: Exposure to GenAI technologies and LLMs. Familiarity with regulatory and ethical considerations in AI deployments. What We Offer: Opportunity to shape the AI vision of a growing services organization. Work on cutting-edge AI projects with global impact. Collaborative and innovation-driven work culture

Experience: 3 - 5 Years Location: Chennai Employment Type: Full-time Job Description: We are seeking a highly skilled and motivated AI/ML Engineer with 35 years of hands-on experience in developing and deploying intelligent systems. As part of our dynamic AI team, you will work on cutting-edge projects involving Machine Learning , Natural Language Processing (NLP) , and Generative AI technologies. This role requires strong programming skills, a deep understanding of AI frameworks, and experience in building scalable ML pipelines and APIs. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models to solve real-world problems. Work on NLP tasks such as text classification and sentiment analysis. Build and maintain scalable RAG (Retrieval-Augmented Generation) pipelines for Generative AI applications. Develop GenAI applications using foundation model APIs (e.g., vertex AI, OpenAI, llama). Build and deploy FastAPI services to serve models and integrate with external systems. Optimize and containerize models using Docker for efficient deployment. Collaborate with cross-functional teams to integrate AI models into production systems. Perform data analysis using pandas and other Python libraries to extract meaningful insights. Stay up-to-date with the latest AI/ML research and best practices. Required Skills: Python Machine Learning Natural Language Processing (NLP) Generative AI Docker Deep Learning pandas Retrieval-Augmented Generation (RAG) FastAPI Foundation Model APIs (e.g., OpenAI, Gemini, Claude) Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field. Experience working in agile development environments. Excellent problem-solving and communication skills.

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

You are ready to gain the skills and experience needed to grow within your role and advance your career, and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Chief Technology Office team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Lead and support the transition of current processes and products to UiPath as part of the overall automation strategy. Create and sustain strong automations for web, desktop, Excel, and mainframe environments using UiPath. Independently troubleshoot and resolve complex production issues with minimal supervision. Work closely with cross-functional teams, including developers, infrastructure teams, and support groups. Analyze and develop complex scripts or queries in Python, JavaScript, VB, or C# to meet automation and integration requirements. Utilize AI/ML concepts and tools to improve automation logic and operational intelligence. Ensure compliance with SDLC and Agile best practices throughout the development lifecycle. Required qualifications, capabilities, and skills: - Formal training or certification on Software engineering concepts and 2+ years applied experience - Hands-on experience in automation development, with intermediate to advanced expertise in UiPath - Proficient in at least one modern programming language, such as Python - Experienced with cloud platforms such as AWS, Azure, or GCP, and familiar with containerized/microservices environments - Analytical and debugging skills, capable of understanding complex process flows and quickly identifying root causes - Demonstrates excellent problem-solving abilities with a high degree of ownership and urgency Preferred qualifications, capabilities, and skills: - Exposure to AI/ML workflows and their practical application in automation is advantageous - Familiarity with modern front-end technologies - Eagerness to learn new technologies and contribute to a culture of continuous improvement,

You are a detail-oriented and proactive Associate Manager - BIOps Program Management responsible for supporting and optimizing Business Intelligence Operations (BIOps) programs. Your role involves leveraging your expertise in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes to implement scalable BIOps strategies, enhance BI platform performance, and ensure the availability, reliability, and efficiency of enterprise analytics solutions. Your responsibilities include managing and maintaining BIOps programs to align with business objectives, data governance standards, and enterprise data strategies. You will contribute to implementing real-time monitoring, automated alerting, and self-healing capabilities to improve BI platform uptime and performance. Furthermore, you will support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Collaborating closely with cross-functional teams such as Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, you will execute Data & Analytics platform strategies to foster a data-first culture. You will provide operational support for PepsiCo's Data & Analytics program and platform management to ensure consistency with global data initiatives. Additionally, you will assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Your role also involves ensuring high availability and optimal performance of BI tools like Power BI, Tableau, SAP BO, and MicroStrategy. You will contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Working closely with various teams, you will optimize data models, enhance report performance, and support data-driven decision-making. To excel in this role, you should possess 7+ years of technology work experience in a large-scale global organization, preferably in the CPG industry. Additionally, you should have 7+ years of experience in the Data & Analytics field, exposure to BI operations and tools, and 4+ years of experience in a leadership or team coordination role. Your ability to empathize with customers, prioritize their needs, and advocate for timely resolutions will be crucial. Furthermore, your passion for delivering excellent customer experiences, fostering a customer-first culture, and willingness to learn new skills and technologies will drive your success in this dynamic environment. Your strong interpersonal skills, ability to analyze complex issues, build cross-functional relationships, and achieve results in fast-paced environments will be essential. Your familiarity with cloud infrastructure, BI platforms, and modern site reliability practices will enable you to support operational requirements effectively. By leveraging your expertise and collaborating with stakeholders, you will contribute to the operational excellence of BI solutions and enhance system performance. Overall, your role as an Associate Manager - BIOps Program Management will involve supporting and optimizing BIOps programs, enhancing BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Your proactive approach, technical expertise, and collaboration with cross-functional teams will be instrumental in driving operational excellence and fostering a data-first culture within PepsiCo.,

You are a detail-oriented and proactive Associate Manager - BIOps Program Management who will be responsible for supporting and optimizing Business Intelligence Operations (BIOps) programs. Your role will involve implementing scalable strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. You will assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Additionally, you will contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Your responsibilities will include supporting the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. You will also assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Collaboration with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, will be crucial to executing Data & Analytics platform strategies and fostering a data-first culture. You will provide operational support for PepsiCo's Data & Analytics program and platform management to ensure consistency with global data initiatives. Your role will also involve ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. You will contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Working closely with various teams, you will support data-driven decision-making efforts and coordinate with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Furthermore, you will provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. You will support end-to-end BI operations, maintain service-level agreements (SLAs), engage with subject matter experts (SMEs), and contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Your qualifications should include 7+ years of technology work experience in a large-scale global organization, 7+ years of experience in the Data & Analytics field, exposure to BI operations and tools, and experience working within a cross-functional IT organization. Additionally, you should have 4+ years of experience in a leadership or team coordination role, the ability to empathize with customers, prioritize customer needs, and advocate for timely resolutions, among other skills and qualities mentioned in the job description.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be responsible for developing and deploying AI/ML solutions to address complex business problems and impactful needs, building robust data pipelines, and delivering advanced analytics by combining data engineering with AI/ML techniques. Additionally, you will engage in research and development of innovative AI/ML techniques and create, document, and deliver AI/ML program updates for stakeholders. It will be your responsibility to implement and maintain efficient data pipelines using SDLC best practices, develop, optimize, and execute smooth data extraction, transformation, and reporting, and create dashboards and monitoring tools to support ongoing data quality and performance. Moreover, you will collaborate with stakeholders to understand business requirements and translate them into technical solutions, work with team members to operationalize end-to-end AI/ML solutions, and collaborate with cross-functional teams to align with the mission and vision of the organization. Required qualifications, capabilities, and skills include formal training or certification on Applied AI ML Associate Sr concepts and 3+ years of applied experience, proven experience in data engineering and applied AI/ML, strong skills in data wrangling, analysis, and modeling, experience in developing scalable data systems and impactful AI/ML models, ability to engage with stakeholders and translate business requirements into technical solutions, strong collaboration skills to work across teams and drive strategic initiatives, understanding of software quality, operational efficiency, and strategic goal achievement, ability to address existing skill gaps and technical debt in data engineering and AI/ML, and experience in merging traditional data engineering with AI/ML-driven solutions. Preferred qualifications, capabilities, and skills include familiarity with modern front-end technologies and exposure to cloud technologies.,

As an Architect at Red Hat Services, you will be the go-to expert for customers seeking to build strategic and scalable systems. Based in Mumbai and covering the Asia Pacific region, you will play a crucial role in designing and implementing modern platforms, onboarding cloud-native applications, and leading architecture engagements using cutting-edge open source technologies. Working alongside a team of consultants who are leaders in open hybrid cloud, platform modernization, automation, and emerging practices, including AI integration, you will collaborate with customers in agile teams to create innovative prototypes that drive real business outcomes. Your responsibilities will include designing and implementing modern platform architectures, collaborating with infrastructure teams on Kubernetes container platforms, leading the discovery and delivery of cloud-native applications, and co-creating AI-ready platforms with customers. Additionally, you will be involved in presenting strategic roadmaps, supporting technical presales efforts, and contributing to the development of consulting offerings and capability playbooks. To excel in this role, you should have strong experience with Kubernetes, Docker, and Red Hat OpenShift, as well as expertise in managing multiple Kubernetes clusters across multi-cloud environments. You should also possess leadership skills in software and platform transformation projects, hands-on coding experience in multiple languages, and familiarity with infrastructure as code, automation tools, and CI/CD pipelines. Furthermore, you will need to demonstrate practical understanding of microservices, API design, DevOps practices, and agile methodologies. Excellent communication and facilitation skills, both with technical and business audiences, are essential, along with the willingness to travel up to 40% of the time. Experience with Red Hat OpenShift AI, Open Data Hub, or similar MLOps platforms, as well as foundational knowledge of AI/ML and engagement in open source communities, are considered nice-to-have qualifications. Join Red Hat, the world's leading provider of enterprise open source software solutions, and be a part of a diverse and inclusive culture that values transparency, collaboration, and innovation. Embrace equal opportunity and inclusion, where all voices are celebrated, and contribute your best ideas to make a meaningful impact in a global community.,

The role involves designing and developing scalable cloud-based Generative AI solutions using state-of-the-art models. You will collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Additionally, you will be responsible for creating architectural blueprints and technical documentation. In terms of cloud infrastructure, you will architect secure and scalable environments to support the deployment and operation of AI models, ensuring high availability, data integrity, and compliance with industry standards. Optimization of cloud resources for performance, cost-efficiency, and scalability will also be part of your responsibilities. To enhance security measures, you will implement robust security protocols to safeguard data and AI models from unauthorized access and cyber threats. Compliance with industry standards, regulations, and data privacy laws will be crucial, along with conducting regular security assessments and audits to identify and mitigate potential risks. Collaboration with data scientists, machine learning engineers, and other stakeholders is essential to integrate AI models into production environments. Moreover, you will provide technical leadership and mentorship to junior team members and stay updated on the latest advancements in AI and cloud technologies. Performance monitoring and optimization play a significant role in this position, involving the continuous monitoring of AI models and cloud infrastructure performance. You will identify and address performance bottlenecks and scalability issues while implementing improvement processes to enhance system performance and reliability. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience as an AI Architect, Cloud Architect, or similar role. - Strong expertise in designing and deploying cloud-based AI solutions on platforms like AWS, Azure, or Google Cloud. - In-depth knowledge of generative AI models, machine learning frameworks, and AI deployment best practices. - Experience in cloud infrastructure, including networking, storage, and security. - Familiarity with industry standards and regulations related to data privacy and security. - Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment. - Strong communication and collaboration skills. Preferred Skills: - Familiarity with big data technologies such as Hadoop and Spark. - Experience in natural language processing (NLP). - Knowledge of big data technologies and data engineering. - Experience with machine learning frameworks like TensorFlow, PyTorch, or similar. - Certification in cloud architecture or AI/ML is a plus.,

We are looking for a ServiceNow Developer - ITSM to join our team at LTIMindtree, with locations available across Pan India. The ideal candidate should have 5 to 10 years of experience in this field. Key Skills required: - Minimum 5 years of experience in developing applications on the ServiceNow platform. - Proficiency in ITSM and CMDB, Integration. - Strong knowledge of HTML technologies such as Javascript, HTML, CSS, AJAX, JQuery, Angular JS. - Familiarity with SOA technologies like REST, SOAP. - Exposure to AI/ML, RPA, or Virtual Agent technologies would be beneficial. - Understanding of application development on a cloud platform. - Ability to gather and assess user requirements and create technical requirement documents. - Willingness to collaborate with various software development teams for application development, unit testing, deployment, and enhancement of product performance, quality, security, and stability. - Experience working with the agile methodology for software development. - Demonstrated ability to quickly learn new technologies. - Eagerness to drive continuous improvement in the software development life cycle. - Strong grasp of software design patterns, algorithms, and data structures. If you meet these qualifications and are enthusiastic about this opportunity, please send your resume to: Karishma.Shetty2@ltimindtree.com.,

The position of Sales Manager at Yokogawa in Bangalore requires a candidate with 10-15 years of experience in the Solution department, specifically in Chemicals, Fertilizer, Refinery, Petrochemicals, O&G industries. The ideal candidate will hold a BE in Chemical or B.E. in Information Science. This role involves extensive travel within India. The Sales Manager should possess strong communication skills in English and Hindi, along with a willingness to travel extensively. They should have a good understanding of the Chemical and Fertilizer sector, Digital Solutions, and be able to identify customer pain points and provide suitable solutions. Experience in selling Process Optimization (APC), MES (Supply Chain), Networking, Cybersecurity, AI/ML, and Digital Solutions is required. Key responsibilities include interacting with customers, building and enhancing relationships, giving presentations, anticipating customer requirements, working on prospects, understanding competition, finalizing commercial contracts, and achieving sector targets. The Sales Manager should be a team player and work collaboratively with colleagues. The successful candidate will be part of a team responsible for System Sales for DCS & PLC & SCADA/Digital Solutions. This role offers excellent career growth opportunities in a global culture that values respect, collaboration, integrity, and gratitude. If you are interested in this position, please reach out to your connection at Yokogawa to inquire about the Employee Referral process.,

NTT DATA is looking for a Data Engineering Senior Director to join the team in Hyderabad, Telangana (IN-TG), India (IN). As a Data & AI Architect, you will be responsible for delivering multi-technology consulting services to clients by providing strategies and solutions for infrastructure and related technology components. Your role will involve collaborating with stakeholders to develop architectural approaches for solutions and working on strategic projects to ensure optimal functioning of clients" technology infrastructure. Key Responsibilities: - Engage in conversations with CEO, Business owners, and CTO/CDO - Analyze complex business challenges, develop effective solutions, and prioritize client needs - Design innovative solutions for complex business problems - Utilize best practices and creativity to address challenges - Conduct market research, formulate perspectives, and communicate insights to clients - Build strong client relationships and ensure client satisfaction - Focus on details with a strategic business perspective - Demonstrate excellent client service orientation - Work effectively in high-pressure situations - Establish and manage processes through collaboration and business understanding - Generate new business opportunities and contribute to internal effectiveness through process improvement - Provide insights on relevant vertical markets and enhance current methodologies, processes, and tools Minimum Skills Required: - Academic Qualifications: BE/BTech or equivalent in Information Technology and/or Business Management - Scaled Agile certification desirable - Relevant consulting and technical certifications preferred, e.g., TOGAF Required Experience: - 12-15 years of experience in a similar role in a large-scale technology services environment - Proficiency in Data, AI, Gen AI, and Agentic AI - Experience in Data Architecture and Solutioning, including E2E Data Architecture and GenAI Solution design - Ability to work on Data & AI RFP responses as a Solution Architect - Strong experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect - Proficiency with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools - Experience in consulting and program execution engagements in AI and data - Expertise in multi-technology infrastructure design, client needs assessment, and change management Additional Career Level Description: - Knowledge and application: Seasoned, experienced professional with complete knowledge in the area of specialization - Problem-solving: Works on diverse problems requiring evaluation and creative solutions - Interaction: Enhances relationships with internal/external partners, often requiring persuasion NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. We are committed to helping clients innovate, optimize, and transform for long-term success. With diverse experts in over 50 countries and a robust partner ecosystem, we offer business and technology consulting, data and artificial intelligence solutions, industry-specific services, and digital infrastructure. Join us to be part of a leading provider of digital and AI infrastructure, shaping the future confidently and sustainably. Visit us at us.nttdata.com.,