941 Aiml Jobs - Page 4

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. This role is essential for organizations looking to leverage big data to make informed decisions, improve operational efficiency, and gain a competitive advantage. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. In this dynamic position, you will be responsible for interpreting complex data sets, identifying trends, and sharing results with stakeholders through compelling visualizations and reports. Understanding business processes and having the ability to communicate technical concepts to non-technical stakeholders are paramount for success in this role. By effectively utilizing data mining and statistical techniques, you will contribute significantly to the organization's overall data-driven strategy and foster a culture of continuous improvement through data insights. Collaborate with cross-functional teams to understand the data analytics needs, design and implement predictive models to drive business solutions, analyze large datasets to discover patterns and trends, create data visualizations to communicate findings effectively to stakeholders, evaluate model performance and refine algorithms to enhance accuracy, utilize statistical methods to validate results and assumptions, assist in the development and maintenance of analytics tools and frameworks, prepare detailed reports and documentation of analyses performed, stay updated with the latest advancements in AI and analytics technologies, train team members on data analytics best practices and tools, facilitate workshops to promote data-driven decision-making, manage multiple projects simultaneously while meeting deadlines, work closely with IT teams to ensure data integrity and security, identify, analyze, and interpret trends in complex data sets, support strategic initiatives through data-driven recommendations. Required Qualifications: - Masters degree in Data Science, Computer Science, Statistics, or related field. - Proven experience in predictive analytics and machine learning. - Strong proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Solid understanding of statistical analysis and methodologies. - Hands-on experience with SQL and database management. - Excellent problem-solving and critical-thinking skills. - Strong project management abilities with attention to detail. - Ability to work collaboratively in a team environment. - Effective communication skills for presenting technical concepts. - Experience with big data technologies (Hadoop, Spark) is a plus. - Demonstrated ability to adapt to changing priorities and manage multiple projects. - Familiarity with data cleaning and preprocessing techniques. - Understanding of business processes for contextual application of analytics. - Previous experience in a similar role preferred. - Professional certifications in data analytics or related fields are a plus. Skills: data visualization, problem-solving, Python, communication skills, statistical analysis, machine learning, predictive analytics, AI/ML, data mining, data analysis, R, big data technologies, team collaboration, predictive modeling, SQL, project management.,

The AIML Architect-Dataflow, BigQuery position is a critical role within our organization, focusing on designing, implementing, and optimizing data architectures in Google Cloud's BigQuery environment. You will combine advanced data analytics with artificial intelligence and machine learning techniques to create efficient data models that enhance decision-making processes across various departments. Your responsibilities will include building data pipeline solutions that utilize BigQuery and Dataflow functionalities to ensure high performance, scalability, and resilience in our data workflows. Collaboration with data engineers, data scientists, and application developers is essential to align with business goals and technical vision. You must possess a deep understanding of cloud-native architectures and be enthusiastic about leveraging cutting-edge technologies to drive innovation, efficiency, and insights from extensive datasets. You should have a robust background in data processing and AI/ML methodologies, capable of translating complex technical requirements into scalable solutions that meet the evolving needs of the organization. Key Responsibilities - Design and architect data processing solutions using Google Cloud BigQuery and Dataflow. - Develop data pipeline frameworks supporting batch and real-time analytics. - Implement machine learning algorithms for extracting insights from large datasets. - Optimize data storage and retrieval processes to improve performance. - Collaborate with data scientists to build scalable models. - Ensure data quality and integrity throughout the data lifecycle. - Work closely with cross-functional teams to align data workflows with business objectives. - Conduct technical evaluations and assessments of new tools and technologies. - Manage large-scale data migrations to cloud environments. - Document architecture designs and maintain technical specifications. - Provide mentorship and guidance to junior data engineers and analysts. - Stay updated on industry trends in cloud computing and data engineering. - Design and implement security best practices for data access and storage. - Monitor and troubleshoot data pipeline performance issues. - Conduct training sessions on BigQuery best practices for team members. Required Qualifications - Bachelor's or Master's degree in Computer Science, Data Science, or related field. - 5+ years of experience in data architecture and engineering. - Proficiency in Google Cloud Platform, especially BigQuery and Dataflow. - Strong understanding of data modeling and ETL processes. - Experience in implementing machine learning solutions in cloud environments. - Solid programming skills in Python, Java, or Scala. - Expertise in SQL and other query optimization techniques. - Experience with big data workloads and distributed computing. - Familiarity with modern data processing frameworks and tools. - Strong analytical and problem-solving skills. - Excellent communication and team collaboration abilities. - Proven track record of managing comprehensive projects from inception to completion. - Ability to work in a fast-paced, agile environment. - Understanding of data governance, compliance, and security. - Experience with data visualization tools is a plus. - Certifications in Google Cloud or relevant technologies are advantageous. Skills - Cloud Computing - SQL Proficiency - Dataflow - AIML - Scala - Data Governance - ETL Processes - Python - Machine Learning - Java - Google Cloud Platform - Data Architecture - Data Modeling - BigQuery - Data Engineering - Data Visualization Tools,

As a member of the QuestaSim (Simulation) R&D team at Siemens EDA, you will play a crucial role in designing and developing AI/ML-driven algorithms and solutions to enhance the performance and capabilities of simulation tools. Your contributions will involve creating cutting-edge engines and components, integrating machine learning techniques into simulation and verification workflows, and enhancing existing codebases. In this role, you will collaborate with a team of experienced engineers to solve complex problems in a dynamic environment. Your expertise in AI/ML frameworks, data-driven problem solving, and traditional simulation technologies will be key in achieving project milestones. Your ability to stay self-motivated, disciplined, and innovative will drive progress within the team. To excel in this position, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field. Your hands-on experience with AI/ML techniques such as supervised and unsupervised learning, neural networks, and reinforcement learning will be essential. Proficiency in programming languages like C/C++ and Python, along with a strong foundation in algorithms and data structures, is required. Knowledge of machine learning and deep learning frameworks, compiler concepts, optimizations, parallel computing, UNIX/Linux platforms, and problem-solving skills are also crucial for this role. Additionally, familiarity with Digital Electronics, SystemVerilog, Verilog, VHDL, simulation technologies, and formal-based verification methodologies will be advantageous. At Siemens, we value diversity and inclusion, and we are committed to creating a workplace where all individuals are respected and empowered. If you are passionate about shaping the future through innovation and technology, we encourage you to join us on this exciting journey. Your curiosity and creativity will help us build a better tomorrow.,

As an experienced professional in AI/ML and App architecture, you will be responsible for identifying the most suitable technological solutions to address current business challenges. You will communicate effectively with project stakeholders by outlining the software's architecture, features, behavior, and other relevant aspects. Your role will involve defining development phases, solution requirements, and specific features, as well as drafting detailed specifications to guide the solution's management and delivery. Additionally, a strong understanding of AWS/Azure technologies is required for this position.,

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

The ideal candidate for this position should possess expertise in Computer Science and Programming, along with experience in Curriculum Development and instructional design. Knowledge in areas such as Data Science, Cybersecurity, AI&ML is highly valued. Strong skills in research, publication, and student advising are essential for this role. A Doctorate (PhD) in Computer Science and Engineering is preferable, however, M.Tech/M.E freshers are also encouraged to apply. In addition to technical qualifications, the candidate should have excellent written and verbal communication skills and a commitment to teaching and scholarly excellence. Experience in obtaining research funding would be considered a plus.,

As the Director of Engineering at SIDGS, you will be responsible for leading a high-performing global engineering team structured around PODs and shared service towers. You will play a crucial role in scaling delivery across complex, multi-disciplinary teams including App Dev, Web Dev, DevSecOps, Cloud, SRE, Data & AI, and Solution Architecture. Your strategic leadership in a professional services environment will be essential for ensuring engineering excellence, process governance, talent growth, and technical innovation across our portfolio of client engagements. Your key responsibilities will include leading a matrixed engineering organization, driving alignment across functional engineering towers and shared services, mentoring Engineering Leads, promoting continuous technical and leadership development, and owning end-to-end accountability for engineering deliverables. You will ensure adherence to engineering standards, secure coding practices, and audit readiness, oversee operational metrics, DevSecOps pipelines, SRE operations, and cloud infra governance, and collaborate with Solution Engineering and Sales to support pre-sales, estimation, and proposal development. Additionally, you will champion the adoption of emerging technologies such as GenAI, Vertex AI, and LangChain into client solutions, promote reusable reference architectures, knowledge sharing via COPs, lead Engineering Process Governance & Audit (PG&A), set and monitor KPIs for engineering productivity, code quality, CI/CD performance, and uptime, ensure security compliance, including CVE remediation and DAST/SAST implementation, and partner with internal R&D teams to pilot new technologies and integrate them into practice. You will also promote certification tracks, hackathons, and experimentation in modern cloud-native and AI-based architectures. To qualify for this role, you should have 12+ years of experience in software engineering, with at least 5 years in leadership roles, a proven track record managing geographically distributed engineering teams in a services or consulting firm, and a deep understanding of cloud platforms, CI/CD, DevSecOps, SRE tools, full-stack engineering, and AI/ML platforms. Strong program/project management acumen with a bias for execution, demonstrated experience in solution architecture and client delivery management, and certifications in cloud, DevSecOps, or AI/ML are a plus. A bachelor's or master's degree in computer science or a related field is preferred.,

As the Head of Engineering at KonProz GPT, you will play a crucial role in leading our engineering team to drive technical innovation and ensure the successful development and deployment of advanced AI systems for our platform. With your deep technical background in AI/ML and Generative AI, you will be instrumental in shaping the technical vision, architecture, and implementation of our cutting-edge technology. Your key responsibilities will include leading and managing a team of engineers focused on AI/ML and Generative AI solutions, overseeing the design and development process, and ensuring that engineering practices meet the highest standards. Collaboration with cross-functional teams to align technical aspects with business goals will be essential, along with staying updated on AI/ML trends and best practices to incorporate into our platform. In addition to your managerial duties, you will also contribute hands-on coding when necessary, mentor the engineering team, and lead them in delivering scalable, secure, and efficient software solutions. Your expertise will be crucial in ensuring that our product meets legal, tax, and regulatory requirements, with a deep understanding of these sectors. To qualify for this role, you should have 6-7 years of hands-on experience in AI/ML, Generative AI, and related technologies, along with proven experience in managing engineering teams while remaining technically involved. Proficiency in Python is a must, and familiarity with Java, Go, and R is preferred. Strong understanding of frontend technologies, backend technologies, authentication systems, and cloud technologies like AWS and Firestore is also required. A Bachelor's or Master's degree in Computer Science or a related field is necessary, along with strong problem-solving skills and the ability to thrive in a fast-paced environment. If you are passionate about leveraging technology to transform the legal, tax, and regulatory sectors in India, we welcome you to join our team at KonProz GPT.,

The role based in Hyderabad is responsible for designing and delivering Process Automation Solutions using BPM technologies such as Appian, Oracle BPM, and Low code platforms like PowerApps within the Enterprise Content & Automation Services domain. As a part of the Architecture, Platforms & Data team in the Technology Transformation Organization at Novartis, you will be accountable for organizing solution design, development, and deployment efforts for various projects. Your major accountabilities will include compiling necessary resources and assigning responsibilities according to defined timelines, ensuring detailed designs align with high-level designs and are traceable to functional specifications, and adhering to the architectural roadmap to support the development and operations of solutions. You will also focus on user experience, peer reviewing solutions, ensuring timely delivery within set constraints, and establishing standardized design and development processes for cost-effective delivery. Additionally, you will be responsible for initiating solution testing, conducting service handover, leading go-live authorization discussions, tracking release and deployment packages, and ensuring the expected outcomes and value for customers are delivered. Adherence to Security and Compliance policies, awareness of architectural and business drivers, and driving innovation discussions will also be part of your responsibilities. To be successful in this role, you should possess strong knowledge in multiple Business Domains and Technologies, advanced business analyst and technology skills, experience in Agile and hybrid SDLC, and proficiency in Business Process Management (BPM) Lifecycle. Familiarity with BPM suites like Appian, Celonis, Adonis, Process Architecture, AI/ML applications, Lean and Six Sigma methodologies, as well as technical backgrounds in DB development, Java development, XML, integration, and messaging technologies will be beneficial. Novartis, as an organization, is dedicated to reimagining medicine to enhance and extend people's lives. By joining Novartis, you will be part of a mission-driven company aiming to become the most valued and trusted medicines company globally. The commitment to diversity and inclusion ensures an outstanding work environment that is inclusive and representative of the patients and communities served. If you are passionate about making a difference in healthcare and are looking for a role that challenges you to innovate and collaborate, consider joining the Novartis team to contribute to meaningful breakthroughs that impact patients" lives positively. For more information about Novartis and career opportunities, visit: https://www.novartis.com/about/strategy/people-and-culture,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python (primary), with knowledge of JavaScript, SQL, and NodeJS being beneficial. You should have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and an understanding of Generative AI models, including LLMs. Additionally, you should have expertise in designing and implementing efficient prompts for Generative AI, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers like Flask, Django, FastAPI for scalable AI applications is required. Previous experience in Generative AI application development, especially in designing prompts for LLMs is preferred. Knowledge of SQL and NoSQL databases such as MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also required. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices, including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications would be a plus. Qualifications required for this role include a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Your skills should cover containerization technologies (Docker), AI/ML development, TensorFlow, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, API, ML, LLM/OpenAI API, and application integration.,

You will be joining Veersa, a healthtech company at the forefront of leveraging emerging technology and data science to address business challenges within the US healthcare industry. With a focus on serving small and medium entities, Veersa has earned a reputation as an innovative solutions provider and a trusted innovation partner to its clients. At Veersa, you will have the opportunity to work with cutting-edge technology frameworks, platforms, and accelerators, enabling rapid solutions delivery and implementation. The company's expertise spans across various emerging technology areas such as AI/ML, IoT, and Blockchain, utilizing tech stacks including MEAN, MERN, PYTHON, GoLang, ROR, and backend technologies like Java Springboot and NodeJs, along with databases such as PostgreSQL, MS SQL, MySQL, and Oracle on AWS and Azure cloud platforms. As an Engineering Manager at Veersa, you will play a pivotal role in leading and managing a team of talented engineers, striking a balance between technical proficiency, leadership, and strategic vision. Your responsibilities will encompass team management, project leadership, technical guidance, strategic alignment, process enhancement, effective communication, and risk management. Key Responsibilities: Team Management: Take charge of hiring, training, mentoring, and evaluating engineers to foster a positive and productive team environment. Project Leadership: Plan, execute, and oversee engineering projects from inception to completion, ensuring alignment with company goals, timely delivery, and within budget. Technical Expertise: Maintain a deep understanding of technology and its applications to guide the team, make technical decisions, and ensure work quality. Strategic Alignment: Collaborate with other departments to translate business needs into technical requirements, contributing to the company's long-term strategic planning. Process Improvement: Identify and implement enhancements in engineering processes to boost efficiency and quality, including adoption of agile methodologies. Communication: Effectively communicate with team members, stakeholders, and other departments, providing updates, gathering feedback, and addressing concerns. Risk Management: Identify and address potential risks to projects and the company through risk assessments, contingency planning, and proactive issue resolution. Key Requirements: Strong technical background: Minimum 15 years of experience in software engineering with expertise in latest tech stacks and technologies. Leadership and Management Experience: Proven ability to lead, motivate, and delegate tasks effectively while providing constructive feedback. Project Management Skills: Proficiency in planning, executing, and managing projects, including goal setting, timeline definition, and resource management. Communication Skills: Excellent written and verbal communication abilities to convey technical information clearly to non-technical audiences. Problem-solving Skills: Quick and effective problem-solving capabilities both individually and as part of a team. Adaptability: Thrive in a fast-paced and dynamic startup environment. Join Veersa and be part of a team that is dedicated to driving innovation in the healthcare industry through technology and data science.,

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

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)

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.

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

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.,