When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re 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 You’ll Be Doing... Join Verizon as we continue to grow our industry-leading network to improve the ways people, businesses, and things connect. We are looking for an experienced, talented and motivated AI&ML Engineer to lead AI Industrialization for Verizon. You will also serve as a subject matter expert regarding the latest industry knowledge to improve the Home Product and solutions and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices. Deploying machine learning models - On Prem, Cloud and Kubernetes environments Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives. Creating and implementing data and ML pipelines for model inference, both in real-time and in batches. Architecting, designing, and implementing large-scale AI/ML systems in a production environment. Monitor the performance of data pipelines and make improvements as necessary What We’re Looking For... You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and multi-functional teams to implement data science-driven business solutions. You'll Need To Have Bachelor's degree with four or more years of relevant work experience. Expertise in advanced analytics/ predictive modelling in a consulting role. Experience with all phases of end-to-end Analytics project Hands-on programming expertise in Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) , R (for specific data analysis tasks) Knowledge of Machine Learning Algorithms - Linear Regression , Logistic Regression ,Decision Trees ,Random Forests ,Support Vector Machines (SVMs) ,Neural Networks (Deep Learning) ,Bayesian Networks Data Engineering - Data Cleaning and Preprocessing ,Feature Engineering ,Data Transformation , Data Visualization Cloud Platforms - AWS SageMaker ,Azure Machine Learning ,Cloud AI Platform Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Knowledge on Home domain with key areas like Smart Home, Digital security and wellbeing Experience with stream-processing systems: Spark-Streaming, Storm etc. #TPDNONCDIOREF 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. 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. Show more Show less

Role: React Js with Gen Ai We are looking for strong Reactjs and Next js with backend Node exposure. Strong communication with GEN AI experience. We are also looking for someone who are techno-manager and able to handle a team. Required Qualifications: 7+ years of professional experience in frontend development with a strong focus on React.js. Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3. Deep understanding of React Hooks, Context API, and component-based architecture. Proven experience integrating with RESTful APIs and/or GraphQL. Demonstrable experience integrating Generative AI components or LLM APIs into web applications (e.g., OpenAI API, Hugging Face Inference API, Vercel AI SDK, LangChain.js). Experience with handling API response streaming (e.g., Server-Sent Events). Strong experience with state management libraries (e.g., Zustand, Jotai, Redux, TanStack Query). Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Vite, Babel, npm/yarn). Experience with testing frameworks (e.g., Jest, React Testing Library). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Job Type: Full-time Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Schedule: Day shift Application Question(s): Are you Immediate Joiner or Serving Notice period? What's your salary expectation? Experience: React: 8 years (Preferred) Gen AI: 8 years (Preferred) JavaScript: 8 years (Preferred) HTML: 8 years (Preferred) APIs: 8 years (Preferred) GraphQL: 8 years (Preferred) Work Location: In person

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Experience: 2.5 - 5 years of experience Salary : 5-11 LPA Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,100,000.00 per year Schedule: Day shift Work Location: In person

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Data Analyst. For More details contact paikrishnang@am.amrita.edu Job Title Data Analyst Location Kollam, Kerala Required Number 1 Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Desirable Skills & Capacity 1–2 years of experience working as a data analyst or in a related role Strong proficiency in Python for data analysis (pandas, numpy, matplotlib/ seaborn) Familiarity with SQL for querying databases Experience with data visualization tools such as Power BI, or Tableau Good spoken and written English skills Job Responsibilities Data Cleaning & Preparation Collect, clean, and prepare structured and unstructured data from various sources Handle missing values, outliers, and data formatting issues Data Analysis Perform exploratory data analysis (EDA) to extract insights and trends Work with large datasets to support research and project goals Apply statistical techniques for hypothesis testing and inference Reporting & Visualization Build dashboards and reports to communicate findings effectively Present insights in a clear and compelling manner for internal and external stakeholders Collaboration Work closely with project managers, developers, and education researchers Translate research questions into data-driven analyses and solutions Code Quality & Documentation Write clean, reproducible scripts and notebooks Maintain proper documentation of data sources, workflows, and results Use Git for version control and collaborative development Learning & Improvement Stay updated on current trends and tools in data science Continuously enhance skills through learning and experimentation Job Category Research Last Date to Apply August 2, 2025

Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Education : Bachelor’s in Engineering or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Junior Data Scientist Location: Bangalore Reporting to: Senior Manager – Analytics Purpose of the role The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of: LLM-based frameworks, tools, and technologies Cloud-native technologies and solutions Microservices-based software architecture and design patterns As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. Key tasks & accountabilities Large Language Models (LLM): Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG): Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing Streaming & Real-time Processing: Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization API Development: Building scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services Data Processing & Pipelines: Experience with chunking strategies for efficient document processing Building data pipelines to handle large-scale data for AI model training and inference AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficiency 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) Bachelor's or masterʼs degree in Computer Science, Engineering, or a related field. Previous Work Experience Required Proven experience of 1+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. Technical Skills Required Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. Proficiency in implementing and optimizing machine learning models for natural language processing. Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. Strong programming skills in languages such as Python and proficiency in relevant frameworks. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer’s AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 12+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

JD for data science: We are seeking an experienced Data Scientist to join our growing analytics and AI team. This role will involve working closely with cross-functional teams to deliver actionable insights, build predictive models, and drive data-driven decision-making across the organization. The ideal candidate is someone who combines strong analytical skills with hands-on experience in statistical modeling, machine learning, and data engineering best practices. Key Responsibilities:  Understand business problems and translate them into data science solutions.  Build, validate, and deploy machine learning models for prediction, classification, clustering, etc.  Perform deep-dive exploratory data analysis and uncover hidden insights.  Work with large, complex datasets from multiple sources; perform data cleaning and preprocessing.  Design and run A/B tests and experiments to validate hypotheses.  Collaborate with data engineers, business analysts, and product managers to drive initiatives from ideation to production.  Present results and insights to non-technical stakeholders in a clear, concise manner.  Contribute to the development of reusable code libraries, templates, and documentation. Required Skills & Qualifications:  Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.  3–7 years of hands-on experience in data science, machine learning, or applied statistics.  Proficiency in Python or R, and hands-on experience with libraries such as scikit- learn, pandas, numpy, XGBoost, TensorFlow/PyTorch.  Solid understanding of machine learning algorithms, statistical inference, and data mining techniques.  Strong SQL skills; experience working with large-scale databases (e.g., Snowflake, BigQuery, Redshift).  Experience with data visualization tools like Power BI, Tableau, or Plotly.  Working knowledge of cloud platforms like AWS, Azure, or GCP is preferred.  Familiarity with MLOps tools and model deployment best practices is a plus. Preferred Qualifications:  Exposure to time series analysis, NLP, or deep learning techniques.  Experience working in domains like healthcare, fintech, retail, or supply chain.  Understanding of version control (Git) and Agile development methodologies. Why Join Us:  Opportunity to work on impactful, real-world problems.  Be part of a high-performing and collaborative team.  Exposure to cutting-edge technologies in data and AI.  Career growth and continuous learning environment. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re 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 You’ll Be Doing... Designing and Implementing ML Model pipelines (Batch and real-time) for efficient model training and serving/inference. Implementing and analyzing the performance of advanced algorithms (Specifically Deep Learning based ML Models). Solving the model inferencing failures/fallouts. Optimizing existing machine-learning Model Pipelines to ensure the training/inferencing is within the standard duration Collaborating effectively with cross-functional teams to understand business needs and deliver impactful solutions. Contributing to developing robust and scalable distributed computing systems for large-scale data processing. Designing, developing, and implementing innovative AI/ML solutions using Python, CI/CD, public cloud platforms Implementing model performance metrics pipeline for predictive models, covering different types of algorithms to adhere to Responsible AI. What We’re Looking For... You’ll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in Batch Model Inferencing, Model-serving in Realtime. Knowledge on Frameworks such as BentoML TensorFlow Serving (TFX) or Triton. Solid expertise on GCP Cloud ML techstacks such as Bigquery, Data Proc, Airflow, Cloud Functions, Spanner, Data Flow. Very good experience on languages such as Python and PySpark. Expertise on Distributed computation and Multi-node distributed model training. Good understanding on GPU usage management. Experience on RAY Core and RAY Serve (batch and real-time models). Experience in CI/CD practices. Even better if you have one or more of the following: GCP Certifications or any Cloud Certification on AI/ML or Data w If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #AI&D 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. 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. Show more Show less

Job Title: Software Engineer – Backend SOL00054 Job Type: Full Time Location: Hyderabad, Telangana Experience Required: 5-7 Years CTC : 13 - 17LPA Job Description : Our client, headquartered in the USA with offices globally is looking for a Backend Software Engineer to join our team responsible for building the core backend infrastructure for our MLOps platform on AWS . The systems you help build will enable feature engineering, model deployment, and model inference at scale – in both batch and online modes. You will collaborate with a distributed cross-functional team to design and build scalable, reliable systems for machine learning workflows. Key Responsibilities: Design, develop, and maintain backend components of the MLOps platform hosted on AWS . Build and enhance RESTful APIs and microservices using Python frameworks like Flask , Django , or FastAPI . Work with WSGI/ASGI web servers such as Gunicorn and Uvicorn . Implement scalable and performant solutions using concurrent programming (AsyncIO) . Develop automated unit and functional tests to ensure code reliability. Collaborate with DevOps engineers to integrate CI/CD pipelines and ensure smooth deployments. Participate in on-call rotation to support production issues and ensure high system availability. Mandatory Skills: · Strong backend development experience using Python with Flask , Django , or FastAPI . · Experience working with WSGI/ASGI web servers (e.g., Gunicorn, Uvicorn). · Hands-on experience with AsyncIO or other asynchronous programming models in Python. · Proficiency with unit and functional testing frameworks . · Experience working with AWS (or at least one public cloud platform). · Familiarity with CI/CD practices and tooling. Nice to have Skills: · Experience developing Kafka client applications in Python. · Familiarity with MLOps platforms like AWS SageMaker , Kubeflow , or MLflow . · Exposure to Apache Spark or similar big data processing frameworks. · Experience with Docker and container platforms such as AWS ECS or EKS . · Familiarity with Terraform , Jenkins , or other DevOps/IaC tools. · Knowledge of Python packaging (Wheel, PEX, Conda). · Experience with metaprogramming in Python. · Education: · Bachelor’s degree in Computer Science, Engineering, or a related field. Show more Show less

Job Family Data Science & Analysis (India) Travel Required Up to 25% Clearance Required None What You Will Do Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance. Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation. Ensure all AI solutions adhere to industry standards and regulatory requirements (i.e., HIPAA). Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases. Implement robust security protocols to protect sensitive data from breaches and unauthorized access. Ensure AI solutions can seamlessly integrate with existing systems and applications. What You Will Need Bachelors or master’s in computer science, Artificial Intelligence, Machine Learning, or a related field. 10+ year industry experience with minimum of 5 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models. Delivered a minimum of 3 to 5 AI/LLM medium to large scale projects of significant value. What We Offer What Would Be Nice to Have: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Show more Show less

Job Requisition ID # 25WD88676 Position Overview Early-career engineer excited about building real-world software with a touch of AI? Join the AI team at Autodesk and help shape the future of construction through AI-enhanced tools and intelligent automation. We’re looking for software engineers with a strong foundation in programming and an interest in machine learning (ML), Generative AI (GenAI), Natural Language Processing (NLP), or Computer Vision (CV). You’ll help develop robust software solutions that integrate ML capabilities into the Autodesk Construction Cloud — one of the leading platforms transforming the construction industry. Why Autodesk? Build real products used by thousands of teams in the global construction industry Join a fast-growing AI team at the forefront of GenAI, NLP, and CV Learn and grow with mentorship, real-world challenges, and the opportunity to work with cutting-edge technologies Be part of a supportive, product-driven culture where your ideas and work make a difference Responsibilities Build and maintain software components that integrate ML models into scalable cloud-based systems Collaborate with ML and data science teams to bring AI prototypes to life and integrate them into production workflows Develop REST APIs and services for model inference, orchestration, and downstream platform usage Process, transform, and manage unstructured data like documents, images, and text in support of AI features Ensure high performance, reliability, and maintainability of software components within our agile development cycles Participate in code reviews, testing, and continuous improvement of software development practices Minimum Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field 2 to 4 years of strong programming skills in Python; familiarity with modern software engineering practices (version control, CI/CD, testing, etc.) Familiarity with cloud platforms like AWS Familiarity with tools or libraries such as PyTorch, TensorFlow, OpenCV, Hugging Face Transformers, or SpaCy is a plus Exposure to ML/AI concepts through coursework, internships, projects, or personal exploration Familiarity with tools or libraries such as PyTorch, TensorFlow, OpenCV, Hugging Face Transformers, or SpaCy is a plus Understanding of RESTful APIs and frameworks like FastAPI or Flask Eagerness to learn, collaborate, and contribute in a dynamic, cross-functional team Preferred Qualifications Hands-on experience with ML applications in NLP, computer vision, or generative AI Exposure to data engineering or MLOps concepts Understanding of vector databases (e.g., FAISS, Pinecone) or prompt engineering techniques Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). Show more Show less

About The Job Be the expert customers turn to when they need to build strategic, scalable systems. Red Hat Services is looking for a well-rounded Architect to join our team in Mumbai covering Asia Pacific. In this role, you will design and implement modern platforms, onboard and build cloud-native applications, and lead architecture engagements using the latest open source technologies. You’ll be part of a team of consultants who are leaders in open hybrid cloud, platform modernisation, automation, and emerging practices - including foundational AI integration. Working in agile teams alongside our customers, you’ll build, test, and iterate on innovative prototypes that drive real business outcomes. This role is ideal for architects who can work across application, infrastructure, and modern AI-enabling platforms like Red Hat OpenShift AI. If you're passionate about open source, building solutions that scale, and shaping the future of how enterprises innovate — this is your opportunity. What Will You Do Design and implement modern platform architectures with a strong understanding of Red Hat OpenShift, container orchestration, and automation at scale. Strong experience in managing “Day-2” operations of Kubernetes container platforms by collaborating with infrastructure teams in defining practices for platform deployment, platform hardening, platform observability, monitoring and alerting, capacity management, scalability, resiliency, security operations. Lead the discovery, architecture, and delivery of modern platforms and cloud-native applications, using technologies such as containers, APIs, microservices, and DevSecOps patterns. Collaborate with customer teams to co-create AI-ready platforms, enabling future use cases with foundational knowledge of AI/ML workloads. Remain hands-on with development and implementation — especially in prototyping, MVP creation, and agile iterative delivery. Present strategic roadmaps and architectural visions to customer stakeholders, from engineers to executives. Support technical presales efforts, workshops, and proofs of concept, bringing in business context and value-first thinking. Create reusable reference architectures, best practices, and delivery models, and mentor others in applying them. Contribute to the development of standard consulting offerings, frameworks, and capability playbooks. What Will You Bring Strong experience with Kubernetes, Docker, and Red Hat OpenShift or equivalent platforms In-depth expertise in managing multiple Kubernetes clusters across multi-cloud environments. Proven expertise in operationalisation of Kubernetes container platform through the adoption of Service Mesh, GitOps principles, and Serverless frameworks Migrating from XKS to OpenShift Proven leadership of modern software and platform transformation projects Hands-on coding experience in multiple languages (e.g., Java, Python, Go) Experience with infrastructure as code, automation tools, and CI/CD pipelines Practical understanding of microservices, API design, and DevOps practices Applied experience with agile, scrum, and cross-functional team collaboration Ability to advise customers on platform and application modernisation, with awareness of how platforms support emerging AI use cases. Excellent communication and facilitation skills with both technical and business audiences Willingness to travel up to 40% of the time Nice To Have Experience with Red Hat OpenShift AI, Open Data Hub, or similar MLOps platforms Foundational understanding of AI/ML, including containerized AI workloads, model deployment, open source AI frameworks Familiarity with AI architectures (e.g., RAG, model inference, GPU-aware scheduling) Engagement in open source communities or contributor background About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Company Description Technocratic Solutions is a trusted and renowned provider of technical resources on a contract basis, serving businesses globally. With a dedicated team of developers, we deliver top-notch software solutions in cutting-edge technologies such as PHP, Java, JavaScript, Drupal, QA, Blockchain AI, and more. Our mission is to empower businesses worldwide by offering high-quality technical resources that meet project requirements and objectives. We prioritize exceptional customer service and satisfaction, delivering our services quickly, efficiently, and cost-effectively. Join us and experience the difference of working with a reliable partner driven by excellence and focused on your success. Job Title: AI/ML Engineer – Generative AI, Databricks, R Programming Location: Delhi NCR / Pune Experience Level: 5 years Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with hands-on experience in Generative AI, Databricks, and R programming to join our advanced analytics team. The ideal candidate will be responsible for designing, building, and deploying intelligent solutions that drive innovation, automation, and insight generation using modern AI/ML technologies. --- Key Responsibilities: Develop and deploy scalable ML and Generative AI models using Databricks (Spark-based architecture). Build pipelines for data ingestion, transformation, and model training/inference on Databricks. Implement and fine-tune Generative AI models (e.g., LLMs, diffusion models) for various use cases like content generation, summarization, and simulation. Leverage R for advanced statistical modeling, data visualization, and integration with ML pipelines. Collaborate with data scientists, data engineers, and product teams to translate business needs into technical solutions. Ensure reproducibility, performance, and governance of AI/ML models. Stay updated with the latest trends and technologies in AI/ML and GenAI and apply them where applicable. --- Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, Statistics, or a related field. 5 years of hands-on experience in Machine Learning/AI, with at least 2 year in Generative AI. Proficiency in Databricks, including Spark MLlib, Delta Lake, and MLflow. Strong command of R programming, especially for statistical modeling and data visualization (ggplot2, dplyr, caret, etc.). Experience with LLMs, transformers (HuggingFace, LangChain, etc.), and other GenAI frameworks. Familiarity with Python, SQL, and cloud platforms (AWS/Azure/GCP) is a plus. Excellent problem-solving, communication, and collaboration skills. Preferred: Certifications in Databricks, ML/AI (e.g., Azure/AWS ML), or R. Experience in regulated industries (finance, healthcare, etc.). Exposure to MLOps, CI/CD for ML, and version control (Git). --- What We Offer: Competitive salary and benefits Flexible work environment Opportunities for growth and learning in cutting-edge AI/ML Collaborative and innovative team culture --- Would you like this tailored to a specific company, industry, or seniority level (e.g., Lead, Junior, Consultant)? Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Purpose of the Role BIW Advance phase Geometry Design development & Execution for new Stellatis car models. Define Control plan for the product line & perform BIW Geometry Design feasibility studies Develop, Propose,negotiate & release BIW incoming parts & inhouse processed product tolerancing, & develop datum plan /PLP . Reports to the IAP_VPE Manager as well as Global Corporate dimensional Engineering departmentProcess Architect, who fills the project synthesis. Job Responsibilities Clear Design to Manufacturing of new product.Realize product/process robustness / CADPART geo assessment to release. Define the Dimensional Engineering Build objectives based on the reference process and in accordance with Technical Referentials Develop Sheet metal parts dimensional specification drawings & externalized welded assemblies dimensional specifications Define BIW measurement points in accordance with engineering Build objectives & define dimensions technical specifications of Body in White & Vehicle on wheels Manage BIW & vehicle on wheels Build Geomtery issues -Makes counterproposals with respective interior & Exteriors, craftsmanship team to minimize impacts, and negotiates in cross functional meetings Ensure quality, cost and timeliness objectives: guaranteeing the feasibility of assemblies (geometry, product conformity, process) and the robustness and respect of Technical Referentials Driving the part conformance to GD&T defined via checking fixtures , CMM, metrology, & Master cube - working along with SQE , Process Engineeirng & Product Engineering; Offering ways to optimize PLP to GEO Team Measuremnt data analysis and reporting statistically. CP-CPK reporting & interpretation of sample data trend Weld shop metrology planning, & facilities support Develop principal localizationp points (PLP) & locating strategy document stage wise for BIW process- for suppliers & inhouse processes Develop closures Hang on line location strategy & section book Perform 2D /3D stack up analysis where required to define tolerances, after aligning cross functional team . Should have experience of Measurement system audit at supplier end ,and providing feed back for improvement . Should have experience of sheet metal part gaging process & holding fixture methods. Experience with RFQPreparation with all Technical Aspect of processess captured. Job Specification Qualification B-Tech/B.E./ Experience 2 ~ 6 Yrs. max Competencies a) Technical Should Worked in Automobile OEM; in BIW Geometry Engineering Sound Knowledge in BIW GD&T/Datum Definition/Locator strategies/Clamping Plan Good Knowledge in BIW Tolerance Validation/RSS Stack/1D/3D StackUps Hands on Experiece with CATIA/NX & ENOVIA/Teamcenter is Must CATIA hands on Experience ; Unigraphics Experience would be added advantage Well Experienced with Weld shopMetrology- Checking fixtures CMM m/c Knowledgeble in all types of Hemming process and C/Measure. Knowledgeable in plastic part tolerancing & Vehicle on wheels. should have Knowledgeable in DVA process - input process & output inference Knowledgebable with statistical tools & techniques. Knowledge on Fixture Design & 2D Detailing b) Behavioral Good Communication Skills Leadership - to Drive CFT Must be ok to work overseas stellantis plants as required by project. Good analysis Skills Dynamic & self Starter Good Team Player – he can work as CFT to solve Quality issue Should have Problem Solving Skills Show more Show less

Role: React Js with Gen Ai We are looking for strong Reactjs and Next js with backend Node exposure. Strong communication with GEN AI experience. We are also looking for someone who are techno-manager and able to handle a team. Required Qualifications: 7+ years of professional experience in frontend development with a strong focus on React.js. Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3. Deep understanding of React Hooks, Context API, and component-based architecture. Proven experience integrating with RESTful APIs and/or GraphQL. Demonstrable experience integrating Generative AI components or LLM APIs into web applications (e.g., OpenAI API, Hugging Face Inference API, Vercel AI SDK, LangChain.js). Experience with handling API response streaming (e.g., Server-Sent Events). Strong experience with state management libraries (e.g., Zustand, Jotai, Redux, TanStack Query). Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Vite, Babel, npm/yarn). Experience with testing frameworks (e.g., Jest, React Testing Library). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Show more Show less

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Data Analyst. For More details contact paikrishnang@am.amrita.edu Job Title Data Analyst Location Kollam, Kerala Required Number 1 Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Desirable Skills & Capacity 1–2 years of experience working as a data analyst or in a related role Strong proficiency in Python for data analysis (pandas, numpy, matplotlib/ seaborn) Familiarity with SQL for querying databases Experience with data visualization tools such as Power BI, or Tableau Good spoken and written English skills Job Responsibilities Data Cleaning & Preparation Collect, clean, and prepare structured and unstructured data from various sources Handle missing values, outliers, and data formatting issues Data Analysis Perform exploratory data analysis (EDA) to extract insights and trends Work with large datasets to support research and project goals Apply statistical techniques for hypothesis testing and inference Reporting & Visualization Build dashboards and reports to communicate findings effectively Present insights in a clear and compelling manner for internal and external stakeholders Collaboration Work closely with project managers, developers, and education researchers Translate research questions into data-driven analyses and solutions Code Quality & Documentation Write clean, reproducible scripts and notebooks Maintain proper documentation of data sources, workflows, and results Use Git for version control and collaborative development Learning & Improvement Stay updated on current trends and tools in data science Continuously enhance skills through learning and experimentation Job Category Research Last Date to Apply August 2, 2025

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have Qualification: B.E/ B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc 3+ years of experience working with LLMs in large-scale environments. Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc Deep familiarity with internals of at least a few Machine Learning algorithms and concepts Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc Experience with ML model deployments using REST API, Docker, Kubernetes, etc Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable Knowledge of basic data structures and algorithms Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus Your role at Level AI includes but is not limited to Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services Optimize existing deep learning models for performance, scalability, and efficiency Build, deploy, and own scalable production NLP pipelines Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Show more Show less