5072 Tensorflow Jobs - Page 43

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position A healthier future. That’s what drives us. We are looking for a highly skilled Artificial Intelligence (AI) / Machine Learning (ML) Engineer with expertise in building AI-powered applications. We will be building AI & GenAI solutions end-to-end: from concept, through prototyping, production, to operations. The Opportunity: Generative AI Application Development: Collaborate with developers and stakeholders in Agile teams to integrate LLMs and classical AI techniques into end-user applications, focusing on user experience, and real-time performance Algorithm Development: Design, develop, customize, optimize, and fine-tune LLM-based and other AI-infused algorithms tailored to specific use cases such as text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc LLM Fine-Tuning and Customization: Fine-tune pre-trained LLMs to specific business needs, leveraging prompt engineering, transfer learning, and few-shot techniques to enhance model performance in real-world scenarios End-to-End Pipeline Development: Build and maintain production-ready end-to-end ML pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring; automate workflows using MLOps best practices to ensure scalability and efficiency Performance Optimization: Optimize model inference speed, reduce latency, and manage resource usage across cloud services and GPU/TPU architectures Scalable Model Deployment: Collaborate with other developers to deploy models at scale, using cloud-based infrastructure (AWS, Azure) and ensuring high availability and fault tolerance Monitoring and Maintenance: Implement continuous monitoring and refining strategies for deployed models, using feedback loops and e.g. incremental fine-tuning to ensure ongoing accuracy and reliability; address drifts and biases as they arise Software Development: Apply software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, prompt engineering and setting up APIs; ensure robust logging, experiment tracking, and model monitoring Who are: Minimum overall 5-7 years of experience and hold B.Sc., B.Eng., M.Sc., M.Eng., Ph.D. or D.Eng. in Computer Science or equivalent degree Experience: 3+ years of experience in AI/ML engineering, with exposure to both classical machine learning methods and language model-based applications Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformer architectures; hands-on experience with LangChain or similar LLM frameworks; experience with designing end-to-end RAG systems using state of the art orchestration frameworks (hands on experience with fine-tuning LLMs for specific tasks and use cases considered as an additional advantage) MLOps Knowledge: Strong understanding of MLOps tools and practices, including version control, CI/CD pipelines, containerization, orchestration, Infrastructure as Code, automated deployment Deployment: Experience in deploying LLM and other AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productizations Practical overview and experience with AWS services to design cloud solutions, familiarity with Azure is a plus; experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart, etc. Data Engineering: Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs Model Evaluation and Metrics: Proficiency in evaluating both classical ML models and LLMs using relevant metrics Relocation benefits are not available for this posting. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Gen AI Engineer Job Description Brightly Software is seeking a high performer to join our Product team in the role of Gen AI engineer to drive best in class client - facing AI features by creating and delivering insights that advise client decisions tomorrow. Role As a Gen AI Engineer , you will play a critical role in building AI offering s for Brightly. Y ou will partner with our various software Product teams to drive client facing insights to inform smarter decisions faster . This will include the following: Design and implement applications powered by generative AI (e.g., LLMs, diffusion models), delivering contextual and actionable insights for clients. Establish best practices and documentation for prompt engineering, model fine-tuning, and evaluation to support cross-domain generative AI use cases. Build, test, and deploy generative AI applications using standard tools and frameworks for model inference, embeddings, vector stores, and orchestration pipelines. Key Responsibilities Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector stores like Pinecone, FAISS, or AWS OpenSearch D evelop GenAI applications using Hugging Face Transformers, LangChain , and Llama related frameworks Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for model building. Design, develop, train, and evaluate machine learning models (e.g., classification, regression, clustering, natural language processing) with strong ex erience in predictive and stastical modelling . Implement and deploy machine learning models into production using AWS services, with a strong focus on Amazon SageMaker (e.g., SageMaker Studio, training jobs, inference endpoints, SageMaker Pipelines). Understanding and development of state management workflows using Langraph . Engineer and evaluate prompts, including prompt chaining and output quality assessment Apply NLP and transformer model expertise to solve language tasks Deploy GenAI models to cloud platforms (preferably AWS) using Docker and Kubernetes Monitor and optimize model and pipeline performance for scalability and efficiency Communicate technical concepts clearly to cross-functional and non-technical stakeholders Thrive in a fast-paced, lean environment and contribute to scalable GenAI system design Qualifications Bachelor’s degree is required 2-4 years of experience of total experience with a strong focus on AI and ML and 1+ years in core GenAI Engineer ing Demonstrated expertise in working with large language models (LLMs) and generative AI systems, including both text-based and multimodal models. S trong programming skills in Python, including proficiency with data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and/or PyTorch . Familiarity with MLOps principles and tools for automating and streamlining the ML lifecycle. Experience working with agentic AI . Capable of building Retrieval-Augmented Generation (RAG) pipelines leveraging vector stores like Pinecone, Chroma, or FAISS. St rong programming skills in Python, with experience using leading AI/ML libraries such as Hugging Face Transformers and LangChain . Practical experience in working with vector databases and embedding methodologies for efficient information retrieval. P ossess experience in developing and exposing API endpoints for accessing AI model capabilities using frameworks like FastAPI . Knowledgeable in prompt engineering techniques, including prompt chaining and performance evaluation strategies . Solid grasp of natural language processing (NLP) fundamentals and transformer-based model architectures. Experience in deploying machine learning models to cloud platforms (preferably AWS) and containerized environments using Docker or Kubernetes. Skilled in fine-tuning and assessing open-source models using methods such as LoRA , PEFT, and supervised training. Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Able to operate successfully in a lean, fast-paced organization, and to create a vision and organization that can scale quickly Senior Gen AI Engineer

S enior Fullstack AI/ML Engineer Location: Delhi Experience: 3-5 years Mode: On-site About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Internal Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. Internal NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future. Department Overview The Design & Tools (D&T) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customer's expectations. In this role, you will fit in the AI & Architecture team within D&T. Job Description We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc. Responsibilities include: Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred Qualifications Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Basic Requirements Bachelor's degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan No EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

Media Solution Developer – AI/ML & Automation Focus Role Summary We are seeking a technically strong Media Solution Developer to build AI-powered automation solutions that transform digital media operations. This role focuses on applying AI/ML, NLP, neural networks , and computer vision to automate processes such as campaign setup, QA, reporting, and billing. You will work closely with solution architects to bring intelligent designs to life—improving accuracy, efficiency, and scalability across media workflows. A media background is not required , but deep technical expertise is. Key Responsibilities Design and implement AI/ML solutions that automate repetitive and manual tasks in media operations (e.g., campaign setup, anomaly detection in QA, taxonomy validation, asset analysis). Build and deploy models using machine learning, NLP, and computer vision to improve operational efficiency and decision-making. Develop intelligent automation systems and data pipelines in Python, and integrate them with external advertising platforms via APIs (e.g., Meta, DV360, YouTube). Collaborate with solution architects to convert business problems into scalable, production-ready ML automation solutions. Continuously optimize model and system performance, ensuring reliability and responsiveness in automated workflows. Maintain clean, well-documented code with strong adherence to testing, version control, and compliance standards. Contribute to the broader AI-driven automation strategy across media operations. Ideal Profile: 3–5 years of hands-on experience in machine learning, AI engineering, or data science roles, with a focus on automation. Strong skills in Python, with experience using ML frameworks such as TensorFlow, PyTorch, scikit-learn, and NLP libraries like spaCy or Hugging Face. Experience developing: Automation pipelines using AI/ML to replace or optimize manual media tasks NLP models for text classification, validation, or content tagging Computer vision models for creative asset categorization or quality checks Proven ability to work with APIs and cloud ML platforms (e.g., Google Vertex AI, AWS Sagemaker, Azure ML). Strong understanding of automation architecture and performance optimization in production environments. Ability to work in agile teams and collaborate closely with architects and business stakeholders. Nice to Have: Experience with MLOps (e.g., MLflow, Kubeflow) and deployment orchestration tools (e.g., Airflow, Docker, Kubernetes). Exposure to advertising or marketing tech (DSPs, Meta, Google Ads) is a plus—not mandatory. Familiarity with automation principles in RPA tools (e.g., UiPath) is a bonus, though the primary focus is AI-first automation. Exposure to media buying platforms or AdTech/MarTech ecosystems (DSPs, Meta, Google Marketing Platform).

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced Senior AI Developer to join our team in India. The ideal candidate will have a solid background in AI development and proven experience in communicating with senior management. This role requires a strategic thinker who can drive AI initiatives and collaborate effectively with various stakeholders. Primary Responsibilities Lead the development and implementation of AI solutions to address business challenges Collaborate with cross-functional teams to integrate AI technologies into existing systems Communicate complex AI concepts and project updates to senior management and other stakeholders Stay updated with the latest advancements in AI and machine learning technologies Mentor and guide teams in AI development best practices Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, or a related field 15+ years of experience in software engineering. 5+ years of experience in AI development, including hands-on experience with machine learning, deep learning, and natural language processing. 3+ years of experience in AI operations (AI Ops). Proven experience in communicating with senior management, including presenting technical information in a clear and concise manner Experience with AI frameworks and tools such as TensorFlow, PyTorch, or Keras Experience with Large Language Models (LLMs) and their applications in natural language processing tasks Proven solid programming skills in languages such as Python, R, or Java Proven solid interpersonal and communication skills, with the ability to work effectively in a team environment Proven excellent problem-solving skills and the ability to think critically and creatively Preferred Qualifications Experience in the healthcare industry Knowledge of cloud platforms such as AWS, Azure, or Google Cloud At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Job Description: We are seeking a skilled and motivated Data Scientist to join our team. The ideal candidate will have strong experience in AI/ML, Python, AWS, and Big Data technologies. You will be responsible for designing and implementing data-driven solutions, building predictive models, and leveraging cloud platforms to drive business insights and innovation. Key Responsibilities: Develop and deploy machine learning and deep learning models for various business use cases Analyze large datasets to extract actionable insights using Python and Big Data tools Build and maintain data pipelines and workflows in cloud environments like AWS Collaborate with cross-functional teams to identify opportunities for data science applications Communicate complex technical findings in a clear and concise manner Qualifications: Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, etc.) Hands-on experience with AWS services (S3, EC2, SageMaker, Lambda, etc.)

Job Purpose This role includes designing and building AI/ML products at scale to improve customer Understanding & Sentiment analysis, recommend customer requirements, recommend optimal inputs, Improve efficiency of Process. This role will collaborate with product owners and business owners. Key Responsibilities Leading a team of junior and experienced data scientists Lead and participate in end-to-end ML projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions. Push the state of the art in terms of the application of data mining, visualization, predictive modelling, statistics, trend analysis, and other data analysis techniques to solve complex business problems including lead classification, recommender systems, product life-cycle modelling, Design Optimization problems, Product cost & weigh optimization problems. Leverage and enhance applications utilizing NLP, LLM, OCR, image based models and Deep Learning Neural networks for use cases including text mining, speech and object recognition Identify future development needs, advance new emerging ML and AI technology, and set the strategy for the data science team Cultivate a product-centric, results-driven data science organization Write production ready code and deploy real time ML models; expose ML outputs through APIs Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation Provide leadership to establish world-class ML lifecycle management processes Qualifications Job Requirements MTech / BE / BTech / MSc in CS or Stats or Maths Experience Over 10 years of Applied Machine learning experience in the fields of Machine Learning, Statistical Modelling, Predictive Modelling, Text Mining, Natural Language Processing (NLP), LLM, OCR, Image based models, Deep learning and Optimization Expert Python Programmer: SQL, C#, extremely proficient with the SciPy stack (e.g. numpy, pandas, sci-kit learn, matplotlib) Proficiency in work with open source deep learning platforms like TensorFlow, Keras, Pytorch Knowledge of the Big Data Ecosystem: (Apache Spark, Hadoop, Hive, EMR, MapReduce) Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow) Functional Competencies A demonstrated ability to mentor junior data scientists and proven experience in collaborative work environments with external customers Proficient in communicating technical findings to non-technical stakeholders Holding routine peer code review of ML work done by the team Experience in leading and / or collaborating with small to midsized teams Experienced in building scalable / highly available distribute systems in production Experienced in ML lifecycle mgmt. and ML Ops tools & frameworks

AI Internship at SpectoV – Shape the Future with Intelligent Technology! Are you passionate about artificial intelligence and want to build impactful, real-world applications? SpectoV is offering an AI Internship exclusively for freshers who are eager to learn, innovate, and contribute to AI-driven solutions across mobile, web, and immersive platforms. 🚀 How It Works: ✅ Step 1: Mandatory AI Training (Sankalp Program) Before beginning the internship, all selected candidates must complete the Sankalp AI Training Program (1 month). This essential training lays the foundation in: Machine learning & deep learning basics Data preprocessing & model evaluation AI integration in web/mobile applications Tools like Python, TensorFlow, and OpenCV Note: Completion of this training is mandatory to become eligible for the internship phase. ✅ Step 2: Real-Time AI Projects After successful completion of the training, interns will contribute to SpectoV’s real-world projects such as: AI-powered mobile and web applications Computer vision tools and generative AI Emotion/voice recognition systems Intelligent automation and more 📌 Internship Details: Duration: 3–6 months Stipend: Up to ₹10,000/month (performance-based) Location: Remote/Hybrid Eligibility: Freshers with a passion for AI/ML and software development 🔗 Website: spectov.com 🔍 What We’re Looking For: Eagerness to explore AI and its real-world applications Basic knowledge of Python, ML libraries (TensorFlow/PyTorch) Familiarity with model training, APIs, and data handling Creative mindset and problem-solving skills Readiness to learn in a fast-paced, team-driven environment 🌟 Why Join SpectoV? Get trained by AI professionals through the Sankalp program Work on impactful, real-world AI solutions Pathway to full-time opportunities after internship Be part of a visionary tech team reshaping the future Interested? Apply now and take your first step toward an AI career with SpectoV! Know someone who’d love this opportunity? Tag them! 🤖📊

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.

Bangalore,Karnataka,India Job ID 768837 Join our Team About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson’s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 6 - 9 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

Job Information Date Opened 06/20/2025 Job Type Full time Industry Education Work Experience 4-5 years City S.A.S.Nagar (Mohali) State/Province Punjab Country India Zip/Postal Code 160062 Job Description Technologies We Work With At Data Couch, you’ll gain exposure to a wide range of modern tools and technologies, including: Big Data: Apache Spark, Hadoop, Hive, HBase, Pig Cloud Platforms: AWS, GCP, Microsoft Azure Programming: Python, Scala, SQL, PySpark DevOps & Orchestration: Kubernetes, Docker, Jenkins, Terraform Data Engineering Tools: Apache Airflow, Kafka, Flink, NiFi Data Warehousing: Snowflake, Amazon Redshift, Google BigQuery Analytics & Visualization: Power BI, Tableau Machine Learning & MLOps: MLflow, Databricks, TensorFlow, PyTorch Version Control & CI/CD: Git, GitLab CI/CD, CircleCI Key Responsibilities Design, build, and maintain robust and scalable data pipelines using PySpark Leverage Hadoop ecosystem (HDFS, Hive, etc.) for big data processing Develop and deploy data workflows in cloud environments (AWS, GCP, or Azure) Use Kubernetes to manage and orchestrate containerized data services Collaborate with cross-functional teams to develop integrated data solutions Monitor and optimize data workflows for performance, reliability, and security Follow best practices for data governance, compliance, and documentation Requirements Must-Have Skills Proficiency in PySpark for ETL and data transformation tasks Hands-on experience with at least one cloud platform (AWS, GCP, or Azure) Strong grasp of Hadoop ecosystem tools such as HDFS, Hive, etc. Practical experience in Kubernetes for service orchestration Proficiency in Python and SQL Experience working with large-scale, distributed data systems Familiarity with tools like Apache Airflow, Kafka, or Databricks Experience working with data warehouses like Snowflake, Redshift, or BigQuery Exposure to MLOps or integration of AI/ML pipelines Understanding of CI/CD pipelines and DevOps practices for data workflows SnowCore Pro Certified Benefits Work on the frontlines of AI, cloud, and data innovation Collaborate with global thought leaders and enterprise clients Be part of a growing content team with creative freedom and real impact Competitive compensation and a learning-focused work environment

Location Bangalore, Karnataka, India Category Digital Technology Job ID: R148691 Posted: Jun 20th 2025 Senior Data Scientist Do you like working in collaborative teams and solving technical problems? Are you a Senior Data Scientist looking for a new challenge? Join our innovative Engineering Team! Our Industrial and Energy Technology (IET) operates across 120 countries, serving the entire energy value chain and the industrial sector. We hold an extensive portfolio of rotating equipment, process flow, transmission technology and lifecycle services. Our Engineering Transformation team works to improve the quality of our Engineering processes. Partner with the best As a Senior Data Scientist, you will collaborate within a data science or cross-functional team alongside partners at Baker Hughes. Key focus areas include Automatic Defect Recognition (ADR) and Remote Monitoring & Diagnostics (RM&D) in Non-Destructive Testing (NDT) industrial sectors. You will lead customer engagements and develop analytics aligned with business objectives to address specific needs and opportunities. As a Senior Data Scientist, you will be responsible for: Engaging with stakeholders to define analytical goals. Designing and implementing ML/computer vision models for industrial use cases. Developing reusable components for scalable solutions. Building defect detection models for visual, ultrasound, and CT/X-ray images. Using TensorFlow/PyTorch for image classification, detection, and segmentation. Applying transfer learning to enhance model performance. Building and deploying ML pipelines using Flask, FastAPI, Streamlit, Docker, etc. Using time series and predictive maintenance to forecast equipment failures. Deploying solutions on edge or cloud platforms. Documenting results in technical and validation reports. Fuel your passion To be successful in this role, you will: Have a Bachelor's, Master’s, or PhD in Computer Science or a STEM field, with 3+ years of experience in developing computer vision solutions for industrial applications. Have at least 4 years of hands-on experience with machine learning and computer vision algorithms for tasks such as object detection, recognition, tracking, and segmentation. Have proficiency in deep learning and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, and OpenCV. Have good knowledge of Convolutional Networks and Deep Learning algorithms Have solid programming skills with Python and/or non-scripting languages Have experience in data cleansing, data quality assessment, and applying analytics on industrial datasets Have practical knowledge of time series analysis and predictive maintenance for forecasting equipment health and optimising maintenance. Have good communication skills to collaborate with stakeholders and explain technical concepts to non-technical audiences. Have experience with Docker containers & cloud deployment is a plus Have prior exposure to NDT inspection data (e.g., CT/X-ray images) is a plus. Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionised energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritise rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits About Us: We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet. Join Us: Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward. Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Job Title: AI Intern – Model Training & GitHub Code Management Location: Coimbatore Duration: 3 to 6 months (extendable based on performance) Stipend: Paid (based on experience & skills) About the Role: We are looking for a passionate and self-motivated AI Intern to assist in training machine learning models and managing code repositories. You will work closely with the AI/ML team to support data preparation, model fine-tuning, performance testing, and ensuring best practices in GitHub version control and collaboration. What You’ll Do: Assist in collecting, cleaning, and preparing datasets for model training. Train and fine-tune ML/NLP models using Python and relevant libraries (e.g., PyTorch, TensorFlow, HuggingFace). Evaluate model performance and help with parameter tuning. Manage GitHub repositories: Branch management Pull requests and reviews Version tagging and release documentation Collaborate with the team on best practices for code organization and CI/CD pipelines. Write documentation for models, code usage, and deployment steps. Requirements: Strong understanding of Python and basic ML/AI concepts. Familiarity with frameworks like TensorFlow, PyTorch, or HuggingFace Transformers. Prior experience with training simple ML/DL models (personal projects, coursework, or internships). Working knowledge of Git and GitHub: Branching Merging Pull requests Ability to work independently, take initiative, and learn quickly. Bonus Skills (Good to Have): Experience with datasets like ImageNet, COCO, or text corpora (e.g., SQuAD, WikiText). Knowledge of prompt tuning or fine-tuning LLMs. Exposure to GitHub Actions, Docker, or MLOps pipelines. Contributions to open-source projects. Eligibility: Final year undergraduates, postgraduates, or recent graduates in Computer Science, AI/ML, Data Science, or related fields. Job Type: Internship Contract length: 3 months Pay: ₹5,000.00 - ₹6,000.00 per month Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Education: Higher Secondary(12th Pass) (Required) Language: English (Required) Location: Coimbatore, Tamil Nadu (Required) Work Location: In person Application Deadline: 26/06/2025 Expected Start Date: 30/06/2025

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 21st June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of 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 like 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) (Paid) 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." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Job Title : Gen AI / ML Data Scientist Location : Gurugram / Chennai (Hybrid or Onsite) Experience : 46 years Employment Type : Full-time Job Summary We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities : Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques. Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc. Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques. Collaborate with data engineers, MLOps, and product teams to deploy models in production. Conduct research and stay up to date on emerging trends in Gen AI and ML. Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Present findings and insights to business stakeholders and non-technical Skills & Experience : 5 years of experience in Data Science, ML, and AI. Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.). Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc. Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets. Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment. Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring. Strong problem-solving and communication to Have : Knowledge of diffusion models, image/video generation, or multimodal models. Experience with data visualization tools (e.g., Tableau, Power BI, Plotly). Domain knowledge in BFSI, healthcare, or retail is a Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech)

Title : Lead Data Scientist/ML Engineer (5+ years & above) Required Technical Skillset : (GenAI) Language : Python Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements And Skills Mathematics and Statistics : A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis And Visualization Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication And Collaboration A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders. (ref:hirist.tech)

Company : Chicmic Studios. Job Role : Python Machine Learning & AI Developer. Experience Required : 3 years to 5+ Years. We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, Tensor Flow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. Implement transformer architectures (e.g, BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills And Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g, PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g, JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. (ref:hirist.tech)

Responsibilities Build and fine-tune models for NLP, computer vision, predictions, and more. Engineer intelligent pipelines that are used in production. Collaborate across teams to bring AI solutions to life (not just in Jupyter Notebooks). Embrace MLOps with tools like MLflow, Docker, and Kubernetes. Stay on the AI cutting edge and share what you learnmentorship mindset is a big plus. Champion code quality and contribute to a future-focused dev culture. Requirements 3-4 years in hardcore AI/ML or applied data science. Pro-level Python skills (R is cool too, but Python is king here). Mastery over ML frameworks: scikit-learn, XGBoost, LightGBM, TensorFlow/Keras, PyTorch. Hands-on with real-world data wrangling, feature engineering, and model deployment. DevOps-savvy: Docker, REST APIs, Git, and maybe even some MLOps sparkle. Cloud comfort: AWS, GCP, or Azure - take your pick. Solid grasp of Agile, good debugging instincts, and a hunger for optimization. (ref:hirist.tech)

Key Responsibilities Research, design, develop, and implement scalable AI/ML models and solutions from concept to deployment. Focus on cutting-edge areas such as Natural Language Processing (NLP), Deep Learning, and Generative AI, contributing to innovative projects. Transform complex data into actionable insights and intelligent features for our core products. Optimize AI/ML models for performance, scalability, and efficiency in production environments. Work on the deployment of AI/ML models into production, ensuring seamless integration with existing systems. Implement and adhere to MLOps principles for model versioning, monitoring, and lifecycle management. Perform comprehensive data collection, cleaning, preprocessing, and feature engineering to prepare data for model training. Ensure data quality and integrity throughout the AI pipeline. Stay current with the latest advancements in AI/ML, NLP, Deep Learning, and Generative AI research. Evaluate and experiment with new technologies and methodologies to enhance our AI capabilities. Collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to understand business requirements and deliver integrated solutions. Contribute to a culture of continuous learning and knowledge sharing within the team. Mentor junior team members, providing technical guidance and fostering best QUALIFICATIONS : Education : Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related quantitative field. Experience : 2-4 years of hands-on industry experience in AI/ML development, Data Science, or a related field. Programming Skills : Strong proficiency in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). AI/ML Fundamentals : Solid understanding of core AI/ML concepts, algorithms, and methodologies. Specialized Interest : Demonstrated passion and foundational knowledge in at least one of the following areas : Natural Language Processing (NLP), Deep Learning, or Generative AI. Problem-Solving : Excellent analytical, problem-solving, and critical thinking skills, with the ability to tackle complex, ambiguous problems. Communication : Strong verbal and written communication skills to articulate technical concepts and collaborate effectively with diverse teams. (ref:hirist.tech)

We are Hiring!!! Job Title: AI Developer Job Summary: We are seeking a highly skilled AI Developer to join our team. The successful candidate will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to solve complex business problems. Key Responsibilities: - Design and develop AI and ML models using techniques such as deep learning, natural language processing, and computer vision - Work with large datasets to train and test AI models - Collaborate with cross-functional teams to identify business problems and develop AI solutions - Deploy AI models to production environments and ensure scalability and reliability - Continuously monitor and improve AI model performance - Stay up-to-date with industry trends and advancements in AI and ML Requirements: - Strong background in computer science, mathematics, or a related field - Experience with AI and ML frameworks such as TensorFlow, PyTorch, or scikit-learn - Proficiency in programming languages such as Python, Java, or C++ - Experience with data preprocessing, feature engineering, and model optimization - Strong analytical and problem-solving skills Nice to Have: - Experience with cloud-based AI platforms such as AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning - Knowledge of containerization using Docker and orchestration using Kubernetes - Experience with Agile development methodologies How to Apply: Submit your resume and cover letter to hr@akhiraservices.com Connect with Us Call us at +91 78454 16995 If you're a skilled AI developer looking to build innovative solutions and drive business impact, we'd love to hear from you! Job Types: Full-time, Permanent Pay: ₹6,000.00 - ₹20,000.00 per month Location Type: In-person Schedule: Day shift Location: Coimbatore, Tamil Nadu (Required) Work Location: In person

Job Summary We are seeking a highly skilled and innovative AI Specialist to join our technology team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science. The AI Specialist will play a crucial role in developing and implementing AI solutions to address business challenges and enhance our products and services. Responsibilities AI Solution Development: Design, develop, and implement AI models and algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate AI solutions into existing applications and systems. Machine Learning: Apply machine learning techniques to analyze large datasets and derive meaningful insights. Develop and train machine learning models for various applications. Natural Language Processing (NLP): Implement NLP algorithms to process and analyze unstructured data, including text and speech. Develop chatbots, virtual assistants, and other NLP-based applications. Data Preprocessing and Feature Engineering: Conduct data preprocessing, cleaning, and feature engineering to prepare datasets for AI modeling. Identify and extract relevant features for improved model performance. Model Evaluation and Optimization: Evaluate the performance of AI models using appropriate metrics. Optimize models for accuracy, speed, and scalability. Research and Innovation: Stay informed about the latest trends and advancements in AI and machine learning. Research and experiment with new algorithms and techniques to drive innovation. Collaboration: Collaborate with data engineers, software developers, and domain experts to understand requirements and constraints. Provide technical guidance to cross-functional teams. Documentation: Create and maintain comprehensive documentation for AI models, algorithms, and implementations. Prepare documentation for knowledge sharing and training purposes. Qualifications Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Proven experience as an AI Specialist or in a similar role. Strong programming skills, with proficiency in languages such as Python or R. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries. Knowledge of NLP frameworks and tools (e.g., NLTK, spaCy). Solid understanding of data science concepts, statistical methods, and model evaluation metrics. Excellent problem-solving and analytical skills. Effective communication and collaboration abilities.

Job Description AI Lead - Innovation & Product Development About Us KPMG is a dynamic and forward-thinking Professional service firm committed to leveraging cutting-edge artificial intelligence to create transformative products and solutions. We are building a team of passionate innovators who thrive on solving complex challenges and pushing the boundaries of what's possible with AI. Job Summary We are seeking an experienced and visionary AI Lead to spearhead our AI innovation and product development. The ideal candidate will be a hands-on leader with a strong background in solution architecture, a proven track record in developing AI-based products, and deep expertise in Generative AI applications, including Agentic AI. This role requires a comprehensive understanding of AI models, frameworks, and Agentic AI, along with exposure to GPU infrastructure, to design, build, and deploy scalable AI solutions. You will drive our AI strategy, lead cross-functional teams, and transform complex ideas into tangible, market-ready products, with a strong understanding of enterprise requirements from a professional services perspective. Key Responsibilities Strategic Leadership & Innovation: Define and drive the AI innovation roadmap, identifying emerging trends in AI, Generative AI and Agentic AI. Lead research, evaluation, and adoption of new AI models, algorithms, and frameworks. Foster a culture of continuous learning, experimentation, and innovation. AI Product Development & Management: Lead end-to-end development of AI-based products, from ideation to deployment and optimization. Collaborate with product managers, designers, and stakeholders to translate business requirements into viable AI solutions. Ensure successful delivery of high-quality, scalable, and performant AI products. Client Engagement & Solutioning: Work with multiple clients to understand requirements, design tailored AI solutions, develop proofs-of-concept (POCs), and ensure successful implementation in a professional services context. Solution Architecture & Design: Design robust, scalable, and secure AI solution architectures across multi-cloud platforms and on-premise infrastructure. Provide technical guidance and architectural oversight for AI initiatives, focusing on optimizing for GPU infrastructure . Evaluate and recommend AI technologies, tools, and infrastructure, including Large Language Models (LLMs) and Small Language Models (SLMs) on cloud and on-premise. Team Leadership & Mentorship: Lead, mentor, and grow a team of talented AI engineers, data scientists, and machine learning specialists. Conduct code reviews and ensure adherence to coding standards and architectural principles. Promote collaboration and knowledge sharing. Technical Expertise & Implementation: Hands-on experience in developing and deploying Generative AI applications (e.g., LLMs, RAG, GraphRags , image generation, code generation), including Agentic AI and Model Context Protocol (MCP). Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools. Experience with leading LLM providers and models including OpenAI, Llama, Anthropic, and others. Familiarity with AI-powered tools and platforms such as Microsoft Copilot, GitHub Copilot etc. Strong understanding of various machine learning models (deep learning, supervised, unsupervised, reinforcement learning). Experience with large datasets, ensuring data quality, feature engineering, and efficient data processing for AI model training. Deep understanding of GPU infrastructure, for AI model training or/ and inference. Qualifications Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or a related quantitative field. 8+ years in AI/ML development, with at least 3 years in a leadership or lead architect role. Mandatory: Proven experience in leading the development and deployment of AI-based products and solutions. Mandatory: Extensive hands-on experience with Generative AI models and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs, etc.), including practical application of Agentic AI. Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools. Experience in leveraging and integrating various LLM providers and models, including but not limited to OpenAI, Llama, and Anthropic. Familiarity with AI-powered development tools and platforms such as Microsoft Copilot, GitHub Copilot, and other code generation/assistance tools. Strong understanding of solution architecture principles for large-scale AI systems, including multi-cloud platforms and on-premise deployments. Mandatory: Exposure to and understanding of GPU infrastructure, especially NVIDIA, for AI workloads. Experience with Large Language Models (LLMs) and Small Language Models (SLMs) on both cloud and on-premise environments. Proficiency in programming languages such as Python, with strong software engineering fundamentals. Familiarity with MLOps practices, including model versioning, deployment, monitoring, and retraining. Mandatory: Demonstrated industry exposure to professional services, with a proven track record of working with multiple clients to solution requirements, conduct POCs, and understand enterprise-level needs. Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences. Strong problem-solving abilities and a strategic mindset. What We Offer Opportunity to work on cutting-edge AI technologies and shape the future of our products. A collaborative and innovative work environment. Competitive salary and benefits package. Professional development and growth opportunities. The chance to make a significant impact on our business and our customers. If you are a passionate AI leader with a drive for innovation and a desire to build groundbreaking AI products, we encourage you to apply!

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile About KPMG In India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. >> Role & Responsibilities Perform model validation for various supervised and unsupervised AI/ML models pertaining to financial crime compliance. Assess model design, methodology, assumptions, limitations and performance matrix. Validate data quality, feature engineering and preprocessing steps. Conduct robustness, sensitivity and stability testing. Evaluate model explainability using tools such as SHAP, LIME. Review model documentation for completeness and regulatory compliance. Develop and test statistical and machine learning models for risk, fraud and business analytics. >> Key skills and tools: Programming: Python (must-have), R, SQL ML Libraries: scikit-learn, XGBoost, TensorFlow/PyTorch (basic), SHAP, LIME Validation Techniques: Cross-validation, back-testing, OOT testing, PSI/CSI Documentation & Reporting: Excellent communication, documentation, and stakeholder management skills. Tools: Jupyter, Git, MLFlow, Excel,Tableau/Power BI (for visualization) Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Qualifications TempHtmlFile Bachelor’s/master’s in computer science, Data Science, Statistics, Applied Math, or a related quantitative discipline. 3–4 years of experience in AI/ML model validation, development, or risk analytics.

Role & responsibilities Define and own the AI/ML vision and roadmap aligned with business objectives and the digital strategy of the insurance organization. Lead the design and implementation of ML, deep learning, NLP, and GenAI solutions across core business functions. Spearhead use cases such as: Intelligent claims adjudication and fraud analytics Predictive underwriting and pricing optimization Risk scoring and customer lifetime value modeling Virtual assistants and GenAI for customer engagement OCR/NLP for document automation, NER, Spacey Drive adoption of GenAI technologies (e.g., ChatGPT, LLMs, LangChain) in areas like automated policy servicing, chatbots, and document summarization. Oversee end-to-end ML lifecycle from problem framing, data preparation, model training, to deployment and monitoring. Collaborate with engineering, product, actuarial, and operations teams to embed AI models into digital platforms. Establish robust MLOps practices and ensure scalability, reproducibility, and governance of models. Evaluate and implement AI platforms and tools (e.g. Vertex AI, AWS Sagemaker, Hugging Face, Databricks). Build and lead a team of data scientists, ML engineers, and AI researchers. Stay at the forefront of emerging AI trends and regulatory considerations relevant to the insurance industry. Preferred candidate profile Experience in insurance or fintech domain, with a good understanding of insurance workflows and actuarial concepts. Exposure to AI productivity tools like Cursor.io, GitHub Copilot, or Chat GPT for enhanced development velocity. Strategic thinking combined with the ability to be hands-on when needed. Excellent leadership, stakeholder management, and communication skills. Strong understanding of data privacy, model fairness, explainability, and regulatory compliance (e.g., IRDAI). ------------------------------------------------------------------------------------------------------- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field (PhD preferred). 10+ years of experience in data science or machine learning, with at least 35 years in a leadership role. Proven track record of leading AI/ML teams in regulated industries such as insurance, banking, or healthcare. Deep knowledge of machine learning, NLP, deep learning frameworks (Tensor Flow, PyTorch), and model deployment techniques. Experience deploying AI models into production at scale using cloud-native MLOps tools. Expertise in Generative AI, LLMs, Vision LLMs, and Retrieval-Augmented Generation (RAG) is a strong plus. Tech Stack Required- Python , Statistics , Machine Learning Pipelines, Natural Language Processing , LLM, MLOps ,LLMOps, GenAi, AWS, Scikit-lear, keras, Classification | Summarization | Generation | Name Entity Recognition | BIO Tagging | Transformers | CNN | RNN | LSTM | BERT ), Docker | MLflow | Grafana | Wandb | Github Actions / CircleCi / Jenkins | Terraform | Paperspace | Kubernetic |AWS ), LLM, LLMOps, VertexAi, BadRock, OpenAi.