4446 Tensorflow Jobs - Page 49

FORD Requirement - Order Number: 33929-26 L PA Chennai - Contract - Non-Hacker rank Notice Period - Immediate Joiners / serving upto 30 days Position Title: Specialty Development Consultant Duration: 658 days Interview Required: N Estimated Regular Hours: 40 Estimated Overtime Hours: 0 Division: Global Data Insight & Analytics Position Description > Train, Build and Deploy ML, DL Models > Software development using Python, > work with Tech Anchors, Product Managers and the Team internally and across other Teams > Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end > Software development using TDD approach > Experience using GCP products & services > Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Skills Required 3+ years of experience in Python software development 3+ years’ experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ years’ experience with Python, SQL, BQ. Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Skills Preferred Good Communication, Presentation and Collaboration Skills Experience Required 2 to 5 yrs Experience Preferred GCP products & services Education Required BE, BTech, MCA, M.Sc, ME Education Preferred Additional Information: HackerRank Test on Python, Cloud and Machine Learning is must. Skills: ml,cicd,bigquery,pytorch,python,sonarqube,kubernetes,gcp looker,scikit learn,tekton,gcs,cloud,vertex ai,gcp,tensorflow,datarobots,openshift,sql,cloud technologies,airflow,statistical methods,terraform Show more Show less

🤖 Machine Learning Intern (Remote) 🌐 🔍 Are you passionate about AI, algorithms, and building models that learn and evolve? Ready to kickstart your machine learning journey from anywhere in the world? This is your chance! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Machine Learning Intern to join our remote team! This internship is perfect for students or recent graduates eager to gain hands-on experience with machine learning techniques, data processing, and model development. You’ll work on real datasets, build and test machine learning models, and help bring AI-powered solutions to life — all while collaborating in a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – Learn and contribute on your schedule ⏰ ✅ Real-World Projects – Apply ML concepts to practical problems 📊 ✅ Skill Building – Develop Python, TensorFlow, scikit-learn, and more 🛠️ ✅ Mentorship – Learn from experienced data scientists and engineers 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Computer Science, Data Science, AI, or related fields 🧠 Strong understanding of machine learning fundamentals and algorithms 🛠️ Experience with Python and ML libraries like TensorFlow, PyTorch, or scikit-learn 📈 Passionate about AI and eager to learn and grow 💬 Self-motivated and comfortable working independently in a remote setting 📅 Apply By: June 10th Excited to start your career in machine learning and build impactful AI solutions? We’d love to hear from you! Let’s innovate and solve problems with machine learning — together! 🤖📈💡 Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

🧠 Data Science Intern (Remote) 🌐 🔍 Do you love exploring data, building models, and uncovering insights with the power of machine learning and statistics? Ready to begin your data science journey — all from anywhere in the world? This role is for you! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Data Science Intern to join our remote team! This internship is perfect for students or recent graduates who want hands-on experience with real-world datasets, algorithms, and predictive analytics. You’ll work on data cleaning, exploration, modeling, and visualization to help solve real problems and deliver valuable insights — all while collaborating with a friendly, remote-first team. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Schedule – Learn and contribute on your time ⏰ ✅ Real-World Experience – Apply data science to real projects 📊 ✅ Skill Building – Sharpen your Python, ML, and data analysis toolkit 🛠️ ✅ Mentorship – Learn from experienced data professionals 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Data Science, Computer Science, Statistics, or a related field 🧠 Solid understanding of statistics, data analysis, and machine learning concepts 🛠️ Comfortable with Python, Pandas, NumPy, and tools like Jupyter Notebook; knowledge of scikit-learn or TensorFlow is a plus 📈 Passionate about solving problems with data and eager to learn 💬 Self-motivated and able to work independently in a remote setting 📅 Apply By: June 10th Excited to take your first step into the data science world? We’d love to hear from you! Let’s build models and make discoveries through data — together! 📊🧠💡 Show more Show less

Job Title: Data Scientist – Computer Vision & Generative AI Location: Mumbai Experience Level: 3 to 4 years Employment Type: Full-time Industry: Renewable Energy / Solar Services Job Overview: We are seeking a talented and motivated Data Scientist with a strong focus on computer vision, generative AI, and machine learning to join our growing team in the solar services sector. You will play a pivotal role in building AI-driven solutions that transform how solar infrastructure is analyzed, monitored, and optimized using image-based intelligence. From drone and satellite imagery to on-ground inspection photos, your work will enable intelligent automation, predictive analytics, and visual understanding in critical areas like fault detection, panel degradation, site monitoring, and more. If you're passionate about working at the cutting edge of AI for real-world sustainability impact, we’d love to hear from you. Key Responsibilities: Design, develop, and deploy computer vision models for tasks such as object detection, classification, segmentation, anomaly detection, etc. Work with generative AI techniques (e.g., GANs, diffusion models) to simulate environmental conditions, enhance datasets, or create synthetic training data. Build ML pipelines for end-to-end model training, validation, and deployment using Python and modern ML frameworks. Analyze drone, satellite, and on-site images to extract meaningful insights for solar panel performance, wear-and-tear detection, and layout optimization. Collaborate with cross-functional teams (engineering, field ops, product) to understand business needs and translate them into scalable AI solutions. Continuously experiment with the latest models, frameworks, and techniques to improve model performance and robustness. Optimize image pipelines for performance, scalability, and edge/cloud deployment. Key Requirements: 3–4 years of hands-on experience in data science, with a strong portfolio of computer vision and ML projects. Proven expertise in Python and common data science libraries: NumPy, Pandas, Scikit-learn, etc. Proficiency with image-based AI frameworks: OpenCV , PyTorch or TensorFlow , Detectron2 , YOLOv5/v8 , MMDetection , etc. Experience with generative AI models like GANs , Stable Diffusion , or ControlNet for image generation or augmentation. Experience building and deploying ML models using MLflow , TorchServe , or TensorFlow Serving . Familiarity with image annotation tools (e.g., CVAT, Labelbox), and data versioning tools (e.g., DVC). Experience with cloud platforms ( AWS , GCP , or Azure ) for storage, training, or model deployment. Experience with Docker , Git , and CI/CD pipelines for reproducible ML workflows. Ability to write clean, modular code and a solid understanding of software engineering best practices in AI/ML projects. Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment. Bonus / Preferred Skills: Experience with remote sensing and working with satellite or drone imagery. Exposure to MLOps practices and tools like Kubeflow , Airflow , or SageMaker Pipelines . Knowledge of solar technologies, photovoltaic systems, or renewable energy is a plus. Familiarity with edge computing for vision applications on IoT devices or drones. Application Instructions: Please submit your resume, portfolio (GitHub, blog, or project links), and a short cover letter explaining why you’re interested in this role to khushboo.b@solarsquare.in or sidhant.c@solarsquare.in Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 8th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 8th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

We're looking for an individual with Prior experience building RESTful APIs. Experience with at least one of the backend API frameworks (preferably FastAPI) Hands-on experience with at least one modern ML/AI framework (PyTorch, TensorFlow) Experience integrating LLMs into applications (OpenAI, Anthropic, or open-source) Strong foundation in deep learning concepts and model training workflows Database expertise: schema design, query optimization, both SQL and NoSQL Experience with vector databases (Pinecone, Weaviate, Chroma) for RAG applications Mathematical aptitude: comfortable with statistics, linear algebra, and algorithmic thinking Your daily work would include Working on product features end-to-end (write backend logic, write API, connect APIs in the front end, and build a basic functional UI) Working with RESTful APIs, SQL, and NoSQL databases Training, fine-tuning, and deploying deep learning models for production use Building robust LLM integration pipelines with proper error handling and fallback mechanisms Implementing MLOps practices: model versioning, A/B testing, monitoring, and automated retraining Working on multiple projects during the tenure across multiple domains Note: The working hours are flexible. We are a small team. Most of the work will happen asynchronously. Culture-wise, we are looking for people who are excited to learn new things, think creatively, are capable of figuring things out on their own (most of the time), and have a "getting things done" kind of attitude. Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 8th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Responsibilities: Collaborate with cross-functional teams on project requirements & deliverables. Design, develop, test & maintain Python apps using Django/Flask & AWS/Azure Cloud.

Proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs). Understanding of generative models and their applications. Proficiency in programming languages such as Python, Go, or Java. Experience in developing APIs and integrating AI models into existing systems. Familiarity with containerization tools (e.g., Docker, Kubernetes). Experience with (CI/CD) pipelines and databases or data lakes, and/or real-time data processing frameworks. Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description We are seeking a highly skilled, results-oriented Product Manager - AI & BI to lead the growth and development of iSOCRATES' MADTECH.AI™ platform. As a core member of the product team, you will play an instrumental role in shaping the future of our AI-powered Marketing, Advertising, and Data Decision Intelligence solutions. Your focus will be on driving innovation in AI and BI capabilities, ensuring that our product meets the evolving needs of our B2B customers and enhances their marketing and data analytics capabilities. Key Responsibilities Product Strategy & Roadmap Development: Lead the creation and execution of the MADTECH.AI™ product roadmap, with a focus on incorporating AI and BI technologies to deliver value for B2B customers. Collaborate with internal stakeholders to define product features, prioritize enhancements, and ensure alignment with iSOCRATES’ long-term business objectives. AI & BI Product Development: Spearhead the design and development of innovative AI and BI features to enhance the MADTECH.AI™ platform’s scalability, functionality, and user experience. Leverage cutting-edge technologies such as machine learning, predictive analytics, natural language processing (NLP), data visualization, reinforcement learning, and other advanced AI techniques to deliver powerful marketing, advertising, and data decision intelligence solutions. Cross-Functional Collaboration: Collaborate with cross-functional teams, including engineering, design, marketing, sales, and customer success, to ensure seamless product development and delivery. Facilitate communication between technical and business teams to ensure product features align with customer needs and market trends. Customer & Market Insights: Engage with customers and other stakeholders to gather feedback, identify pain points, and stay on top of market trends. Use this data to shape product development and enhance MADTECH.AI™ capabilities, ensuring they are well-positioned in the evolving market landscape. Product Lifecycle Management: Oversee the complete product lifecycle from ideation through launch and beyond. Manage ongoing iterations of the product based on customer feedback and performance metrics to ensure that MADTECH.AI™ remains competitive and meets user expectations. Data-Driven Decision Making: Use customer analytics, usage patterns, and performance data to inform key product decisions. Define success metrics, monitor product performance, and make adjustments as needed to drive product success. AI/BI Thought Leadership: Stay current on the latest trends in AI, BI, MarTech, and AdTech. Act as a thought leader both internally and externally to position iSOCRATES as an innovator in the MADTECH.AI space. Promote best practices and contribute to the company’s overall strategy for AI and BI product development. Qualifications & Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business, or a related field. At least 12 years of experience in product management, with a minimum of 7 years focused on B2B SaaS solutions and strong expertise in AI and BI technologies. Prior experience in marketing, advertising, or data analytics platforms is highly preferred. AI & BI Expertise: Deep understanding of Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Data Visualization, Business Intelligence tools (e.g., Tableau, Power BI, Qlik), and their application in SaaS products, especially within the context of MarTech, AdTech, or DataTech. AI Tools and Technologies : Hands-on experience with AI and BI tools such as: Data Science Libraries: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Hugging Face Transformers, CatBoost, H2O.ai BI Platforms: Tableau, Power BI, Qlik, Looker, Domo, Sisense, MicroStrategy Machine Learning Tools: Azure ML, Google AI Platform, AWS Sagemaker, Databricks, H2O.ai, Vertex AI Data Analytics Tools: Apache Hadoop, Apache Spark, Apache Flink, SQL-based tools, dbt, Snowflake Data Visualization Tools: D3.js, Plotly, Matplotlib, Seaborn, Chart.js, Superset Cloud-Based AI Services: Google AI, AWS AI/ML services, IBM Watson, Microsoft Azure Cognitive Services, Oracle Cloud AI Emerging Tools: AutoML platforms, MLOps tools, Explainable AI (XAI) tools Product Development: Proven experience in leading AI/BI-driven product development within SaaS platforms, including managing the full product lifecycle, from ideation to launch and post-launch iterations. Agile Methodology: Experience working in Agile product development environments, with the ability to prioritize and manage multiple initiatives and product features simultaneously. Analytical & Data-Driven: Strong analytical skills with a focus on leveraging data, performance metrics, and customer feedback to inform product decisions. Ability to translate complex data into actionable insights. Customer-Centric: Experience in working directly with customers to understand their needs, pain points, and feedback. A customer-first mindset with a focus on building products that provide measurable value. Excellent Communication Skills: Exceptional communication, presentation, and interpersonal skills, with the ability to engage and influence both technical teams and business stakeholders across different geographies. Industry Knowledge: Familiarity with MADTECH.AI platforms and technologies. Understanding of customer journey analytics, predictive analytics, and decision intelligence platforms like MADTECH.AI™ is a plus. Cloud & SaaS Architecture: Familiarity with cloud-based solutions and large-scale SaaS architecture. Understanding of how AI and BI features integrate with cloud infrastructure is beneficial. Experience with AI-powered decision intelligence platforms like MADTECH.AI™ or similar MarTech, AdTech, or DataTech tools. In-depth knowledge of cloud technologies, including AWS, Azure, or Google Cloud, and their integration with SaaS platforms. Exposure to customer journey analytics, predictive analytics, and other advanced AI/BI tools. Willingness to work from Mysore/Bangalore or travel to Mysore as per business requirement. Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. The companies are headquartered in St. Petersburg, FL, U.S.A., with their global delivery centers in Mysuru and Bengaluru, Karnataka, India. Job Description The Group Product Manager will lead the strategic development and enhancement of our proprietary business intelligence platform, iSOCRATES MADTechAI, as well as other innovative products. This role demands a deep understanding of technology, strong analytical skills, and a collaborative mindset to evaluate product potential, oversee the product lifecycle, and ensure alignment with both client-partner and internal needs. Key Responsibilities Product Management and Strategy: Lead the strategic vision and execution of iSOCRATES MADTechAI, focusing on feature enhancements and user experience improvements Conduct market research to identify customer needs within the AdTech, MarTech, and DataTech landscapes, translating them into actionable product requirements Prioritize product features based on business impact, customer feedback, and technical feasibility Product Development Lifecycle: Oversee the entire product development lifecycle, including conception, design, development, testing, and launch phases Utilize Agile methodologies (SCRUM, Kanban) to facilitate iterative development and continuous improvement Manage roadmaps, timelines, and deliverables using tools like Jira, ensuring projects are on track and risks are mitigated Technical Design and Architecture: SaaS Development: Deep understanding of SaaS architecture, deployment, and lifecycle management Cloud Platforms: Proficiency with cloud platforms (AWS required; Google Cloud and Azure preferred) AI and Machine Learning: Extensive experience with AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in product development Data Engineering: Strong knowledge of data engineering principles, including ETL processes, data pipelines, and data modeling to ensure data integrity and availability for analytics Data Analytics: Strong knowledge of data analytics, data warehousing, and business intelligence tools (e.g., SQL, Tableau, PowerBI, Sisense) Natural Language Processing (NLP): Familiarity with NLP techniques and applications in product features to enhance user engagement and insights Microservices Architecture: Experience designing and implementing microservices architectures to enhance product scalability and maintainability ReactJS Technologies: Proficiency in ReactJS and related frameworks to ensure seamless front-end development and integration with back-end services Collaborate with engineering teams to define system architecture and design concepts that align with best practices in UX/UI Ensure the integration of various technologies, including APIs, AngularJS, Node.js, ReactJS, and MVC architecture into product offerings Strong hands-on experience in Product-Led Growth (PLG) strategies and Partner/Channel go-to-market approaches Cross-Functional Collaboration: Partner closely with the U.S. and India-based Partner Success teams to support pre-sales activities and customer engagement, acting as a subject matter expert in AdTech, MarTech, and DataTech Facilitate communication between product, engineering, marketing, and sales teams to ensure cohesive product strategy and execution Engage with external customers to gather feedback and drive product iterations Data Analysis and Insights: Design and implement client data analysis methodologies, focusing on data-driven decision-making processes relevant to AdTech, MarTech, and DataTech Develop analytics frameworks that leverage data science principles and advanced statistical methods to derive actionable insights for clients Monitor product performance metrics and develop KPIs to assess impact and identify areas for improvement, leveraging A/B testing and experimentation techniques Process Development and Improvement: Establish and refine processes for product management, ensuring repeatability and scalability Lead initiatives to enhance existing workflows, focusing on efficiency and effectiveness in product delivery Create and present progress reports, updates, and presentations to senior management and stakeholders Qualifications  Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field MBA or specialized training in product management or data science is preferred 12 to 20 years of experience in technology product engineering and development, with a minimum of 10 years in product management Proven track record in managing complex products, especially in business intelligence or marketing technology domains Strong proficiency in BI platforms (e.g., Sisense, Tableau, PowerBI, Looker, DOMO) and data visualization tools Deep understanding of cloud platforms (AWS, Snowflake) and experience with database query languages (SQL, NoSQL) Expertise in API development and management, along with knowledge of front-end technologies (AngularJS, ReactJS, Bootstrap) In-depth knowledge of AI and NLP technologies, with experience in applying them to enhance product functionality Strong background in data engineering, including ETL processes, data warehousing, and data pipeline management Must have a strong understanding of digital advertising, including AdTech, MarTech, and DataTech technologies Experience in B2C and B2B SaaS product development, particularly in customer journey mapping and email marketing Strong analytical and problem-solving abilities, with a focus on data-driven outcomes Excellent communication and presentation skills, capable of articulating complex ideas to diverse audiences Collaborative and open-minded, fostering a culture of innovation and accountability High energy and enthusiasm for driving product success in a fast-paced environment Have extensive experience with Atlassian products including JIRA and Confluence Have extensive experience with Product Management and Monitoring Software Must be ready to relocate to Mysuru or Bengaluru Show more Show less

Skills: Natural Language Processing, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Python, PyTorch, Deep Learning, TensorFlow, Machine Learning, Job Overview Huemn is seeking a talented Generative AI Engineer to join our dynamic team in Hyderabad. This full-time, junior-level position requires a professional with 1 to 3 years of experience in the field. As a Generative AI Engineer, you will be instrumental in advancing our AI capabilities, especially in leveraging natural language processing and large language models to revolutionize studio management for photographers around the world. Qualifications And Skills Proficiency in Python and experience with PyTorch for building and deploying machine learning models. Knowledge of deep learning techniques and their application in real-world scenarios to solve complex problems. Hands-on experience with TensorFlow for implementing machine intelligence in scalable systems. In-depth understanding of machine learning algorithms and neural networks for developing intelligent applications. Expertise in natural language processing (Mandatory skill) for effective communication and interaction with systems. Strong proficiency in working with large language models (LLM) (Mandatory skill) to enhance cognitive computing capabilities. Experience in retrieval-augmented generation (RAG) (Mandatory skill) for innovative AI-driven solutions. Ability to collaborate with cross-functional teams and contribute to innovative projects in a fast-paced environment. Roles And Responsibilities Develop and optimize natural language processing applications to enhance our studio management platform. Implement and maintain large language models to advance Huemn's AI-driven offerings. Utilize retrieval-augmented generation techniques to innovate new AI functionalities. Collaborate with team members to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in generative AI technologies. Ensure the scalability and efficiency of AI models in production environments. Participate in code reviews, feedback sessions, and contribute to engineering best practices. Document processes, algorithms, and code for future reference and knowledge sharing. Show more Show less

Job Title: Data Scientist – OpenCV Experience: 2–3 Years Location: Bangalore Notice Period: Immediate Joiners Only Job Overview We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment. Key Responsibilities Develop and implement computer vision solutions using OpenCV and Python. Work on tasks including object detection, recognition, tracking, and image/video enhancement. Clean, preprocess, and analyze large image and video datasets to extract actionable insights. Collaborate with senior data scientists and engineers to deploy models into production pipelines. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning. Prepare clear documentation for models, experiments, and technical processes. Required Skills Proficient in OpenCV and image/video processing techniques. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib. Solid understanding of basic machine learning and deep learning concepts. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus. Excellent analytical, problem-solving, and debugging skills. Effective communication and collaboration abilities. Preferred Qualifications Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field. Practical exposure through internships or academic projects in computer vision or image analysis. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage. What We Offer A dynamic and innovation-driven work culture. Guidance and mentorship from experienced data science professionals. The chance to work on impactful, cutting-edge projects in computer vision. Competitive compensation and employee benefits. Show more Show less

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are currently seeking an expert Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities, while also building new AI products and refining current models to meet the evolving needs of our business. The role In this role you will lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. You will drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality and enhance and refine existing Agentic AI capabilities to improve performance and scalability. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, conduct research and stay updated on the latest advancements in AI technologies and methodologies. Additional tasks in the role include optimization of AI models for performance, scalability, and accuracy, as well as troubleshooting and resolving complex issues related to AI systems and applications. You will also document AI development processes, methodologies, and best practices, mentor junior developers and participate in code reviews, providing constructive feedback to team members. Provide strategic direction and leadership in AI technology adoption and innovation. What You’ll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred. 10+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Extensive experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Proven leadership skills and experience in guiding AI projects from conception to deployment. Preferred Qualifications Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About Us We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are currently seeking an expert Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities, while also building new AI products and refining current models to meet the evolving needs of our business. The role In this role you will lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. You will drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality and enhance and refine existing Agentic AI capabilities to improve performance and scalability. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, conduct research and stay updated on the latest advancements in AI technologies and methodologies. Additional tasks in the role include optimization of AI models for performance, scalability, and accuracy, as well as troubleshooting and resolving complex issues related to AI systems and applications. You will also document AI development processes, methodologies, and best practices, mentor junior developers and participate in code reviews, providing constructive feedback to team members. Provide strategic direction and leadership in AI technology adoption and innovation. What You’ll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred. 10+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Extensive experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Proven leadership skills and experience in guiding AI projects from conception to deployment. Preferred Qualifications Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About Us We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working with various technologies such as deep learning, neural networks, chatbots, and image processing to create innovative applications that meet user needs and business objectives. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentorship within the team to enhance overall performance. - Analyze project requirements and translate them into actionable tasks for the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture. - Strong understanding of cloud computing principles and architecture. - Experience with AI and machine learning frameworks such as TensorFlow or PyTorch. - Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes. - Ability to design and implement scalable and secure cloud-based solutions. Additional Information: - The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture. - This position is based at our Coimbatore office. - A 15 years full time education is required. 15 years full time education Show more Show less

Job Title - S&C Global Network - AI – CMT - ML Architecture – Specialist Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Machine Learning Architecture Design Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHAT’S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture’s highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You’ll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What You Would Do In This Role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: Opportunity to work on innovative projects. Career growth and leadership exposure. About Our Company | Accenture Experience: 8-10Years Educational Qualification: Any Degree Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work, and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What We Are Looking For We are seeking a skilled Generative AI Engineer to join our team and lead the development of innovative AI solutions. Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. What You Will Be Doing Designing and developing algorithms for generative models using deep learning techniques. Collaborating with cross-functional teams to integrate generative AI solutions into existing workflow systems. Researching and staying up-to-date on the latest advancements in generative AI technologies and methodologies. Optimizing and fine-tuning generative models for performance and efficiency. Troubleshooting and resolving issues related to generative AI models and implementations. Creating and maintaining documentation for generative AI models and their applications. Communicating complex technical concepts and findings to non-technical stakeholders. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Youll Need To Have Bachelors degree or four or more years of work experience. Four or more years of relevant work experience. Strong background in machine learning and deep learning algorithms. Proficiency in Python, TensorFlow, and PyTorch for developing AI models. Experience in generative AI techniques such as GANs and VAEs. Ability to design and implement scalable and efficient AI systems. Advanced knowledge of natural language processing for text generation tasks. Familiarity with computer vision and image generation using AI. Skills in data preprocessing and feature engineering for AI model training. Strong understanding of neural network architectures and optimization techniques. Experience in deploying AI models into production environments. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. Experience integrating and troubleshooting generative AI solutions into existing workflow systems. Even better if you have one or more of the following: Excellent communication and presentation skills. Optimization techniques. If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability, or any other legally protected characteristics. Locations - Hyderabad, India Show more Show less

Job Summary We are seeking an experienced AI Solution Architect to lead the design and implementation of scalable AI/ML systems and solutions. The ideal candidate will bridge the gap between business needs and technical execution, translating complex problems into AI-powered solutions that drive strategic value. ⸻ Key Responsibilities Solution Design & Architecture Design end-to-end AI/ML architectures, integrating with existing enterprise systems and cloud infrastructure. Lead technical planning, proof-of-concepts (POCs), and solution prototyping for AI use cases. AI/ML System Development Collaborate with data scientists, engineers, and stakeholders to define solution requirements. Guide the selection and use of machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Evaluate and incorporate LLMs, computer vision, NLP, and generative AI models as appropriate. Technical Leadership Provide architectural oversight and code reviews to ensure high-quality delivery. Establish best practices for AI model lifecycle management (training, deployment, monitoring). Advocate for ethical and responsible AI practices including bias mitigation and model transparency. Stakeholder Engagement Partner with business units to understand goals and align AI solutions accordingly. Communicate complex AI concepts to non-technical audiences and influence executive stakeholders. Innovation & Strategy Stay updated on emerging AI technologies, trends, and industry standards. Drive innovation initiatives to create competitive advantage through AI. ⸻ Required Qualifications Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. 6 years of experience in software development or data engineering roles. 3+ years of experience designing and delivering AI/ML solutions. Proficiency in cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Strong programming skills in Python and familiarity with CI/CD pipelines. ⸻ Preferred Qualifications Experience with generative AI, foundation models, or large language models (LLMs). Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and AI compliance frameworks. Certifications in cloud architecture or AI (e.g., AWS Certified Machine Learning, Google Professional ML Engineer). Strong analytical, communication, and project management skills. Show more Show less

Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The team Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are currently seeking an expert Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities, while also building new AI products and refining current models to meet the evolving needs of our business. The role In this role you will lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. You will drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality and enhance and refine existing Agentic AI capabilities to improve performance and scalability. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, conduct research and stay updated on the latest advancements in AI technologies and methodologies. Additional tasks in the role include optimization of AI models for performance, scalability, and accuracy, as well as troubleshooting and resolving complex issues related to AI systems and applications. You will also document AI development processes, methodologies, and best practices, mentor junior developers and participate in code reviews, providing constructive feedback to team members. Provide strategic direction and leadership in AI technology adoption and innovation. What You’ll Bring Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred. 10+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Extensive experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Proven leadership skills and experience in guiding AI projects from conception to deployment. Preferred Qualifications Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About Us We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Show more Show less

Job Title: Vertex AI Developer Experience: 3 - 5 Years Location: Chennai / Hyderabad Notice Period: Immediate Joiners Preferred Employment Type: Full-Time Job Description We are looking for a passionate and skilled Vertex AI Developer with hands-on experience in Google Cloud’s Vertex AI , Python , Machine Learning (ML) , and Generative AI . The ideal candidate will play a key role in designing, developing, and deploying scalable ML/GenAI models and workflows using GCP Vertex AI services. Key Responsibilities Develop, deploy, and manage ML/GenAI models using Vertex AI on Google Cloud Platform (GCP). Work with structured and unstructured data to create and train predictive and generative models. Integrate AI models into scalable applications using Python APIs and GCP components. Collaborate with data scientists, ML engineers, and DevOps teams to implement end-to-end ML pipelines. Monitor model performance and iterate on improvements as necessary. Document solutions, best practices, and technical decisions. Mandatory Skills 3 to 5 years of experience in Machine Learning/AI Development. Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn. Hands-on experience with Vertex AI including AutoML, Pipelines, Model Deployment, and Monitoring. Experience in GenAI frameworks (e.g., PaLM, LangChain, LLMOps). Proficiency in using Google Cloud Platform tools and services. Strong understanding of MLOps, CI/CD, and model lifecycle management. Preferred Skills Experience with containerization tools like Docker, orchestration tools like Kubernetes. Exposure to Natural Language Processing (NLP) and LLMs. Familiarity with data engineering concepts (BigQuery, Dataflow). Show more Show less

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Job Description At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. In oncology, hematology, immunology and cardiovascular disease - and one of the most diverse and promising pipelines in the industry - each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Data Scientists will work with senior DS leaders to extract insight from complex clinical, translational and real-world data. They will have the opportunity to work on complex data science problems including modeling techniques to interpret, infer and recommend based on insights from data. Roles And Responsibilities Formulates, implements, tests, and validates predictive models and implements efficient automated processes for producing modeling results at scale. Creates robust models based on statistical and data mining techniques to provide insights and recommendations based on large complex data sets. Presents stories told by data in a visually appealing and easy to understand manner. Responsible for collaborating with cross functional teams, including but not limited to, clinicians, data scientist, translational medicine scientist, statisticians, and IT professionals. Proactively builds partnerships with specialist functions and global counterparts to maximize knowledge and available resources. Requirements Ph.D. in quantitative sciences (computer science, math, statistics and engineering) +2 years experience in healthcare or pharmaceutical is preferred but not required Strong knowledge of programing languages, with a focus on machine learning (R, Python, Sagemaker, Tensorflow). Ability to summarize technically/analytically complex information for a non-technical audience Demonstrated ability to work in a team environment with good interpersonal, communication, writing and organizational skills. Outstanding technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision support solutions Experience in working with popular deep learning and transformer frameworks. Ability to code in Tensorflow or Pytorch Experience in fine tuning LLM, developing RAGs systems, training SLM Expertise in supervised and unsupervised machine learning algorithms Experience in working with clinical and translational data (omics, flow cytometry and images) Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture. To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S. Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief, during or any part of the recruitment process, please direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. 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Hi, Hope you are doing great!!! Rockline Tech Champ Ind Private Limited is a leading IT consulting and technology solutions provider for global mid-to-large enterprises. The company offers a dynamic, innovation-driven environment and is looking for experienced professionals who thrive on challenges and aim to make a real impact in a fast-paced, quality-focused team. Req: AI OPS Engineer Location: Pune and Bangalore - Hybrid at office Experience: 5yrs -8yrs Skill Set: CI/CD pipelines orchestration by Airflow, Azure Devops "Designing and implementing cloud solutions, build MLOps on cloud (AWS, Azure) , Data Science , Python, Bash, Pytorch, TensorFlow, KubeFlow, MLFlow, Docker, Kubernetes, Openshift, Git Hub Mode: Contract to Hire - (Initially 6-8 months Rockline Tech Champ Ind Private Limited payroll after that you will be Perm with client) ****************** Need resource who can join in Immediately/ 15 days****************** ****************** PF Cut mandatory 3600rs****************** Kindly share below details. 1) Pan card No: 2) DOB: 3) First name: 4) Last name: 5) Contact number: 6) Emergency contact number(relationship): 7) Current CTC: 8) Expected CTC: 9) Notice Period: 10) Current location: 11) Preferred location: 12) Total /Rel experience(in Years): 13) Relevant Experience (in years): 14) Can Join (Client looking who can join Immediate/ 15 Days): 15) Pls mention reason for interested Contract to Hire role: 16) Current Company (If any payroll: Pls mention): 17) PF cut mandatory: Pls share UAN number