1990 Preprocessing Jobs - Page 45

Key Responsibilities: We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft’s AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn ). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Show more Show less

Total yrs of exp: 7+ yrs Balewadi,Pune Location Immediate to 30 Days only Responsibilities - Overall 6+ years of experience, out of which in 5+ in AI, ML and Gen AI and related technologies Proven track record of leading and scaling AI/ML teams and initiatives Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications Expertise in ML frameworks such as PyTorch and/or TensorFlow Experience with ONNX runtime, model optimization and hyperparameter tuning Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack Experience in production-level deployment of AI models at enterprise scale Proficiency in data preprocessing, feature engineering, and large-scale data handling Expertise in image and video processing, object detection, image segmentation, and related CV tasks Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications Experience with speech recognition, audio classification, and general signal processing techniques Experience with RAG, VectorDB, GraphDB and Knowledge Graphs Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI) Qualifications - [Education details] Required Skills Strong leadership and team management skills Excellent verbal and written communication skills Strategic thinking and problem-solving abilities Adaptability and adapting to the rapidly evolving AI/ML landscape Strong collaboration and interpersonal skills Ability to translate market needs into technological solutions Strong understanding of industry dynamics and ability to translate market needs into technological solutions Demonstrated ability to foster a culture of innovation and creative problem-solving Preferred Skills Pay range and compensation package - [Pay range or salary or compensation] Equal Opportunity Statement - [Include a statement on commitment to diversity and inclusivity.] Show more Show less

Responsibilities: Overall 4+ years of experience, out of which in 3+ in AI, ML and Gen AI and related technologies Proven track record of leading and scaling AI/ML teams and initiatives. Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. Expertise in ML frameworks such as PyTorch and/or TensorFlow Experience with ONNX runtime, model optimization and hyperparameter tuning. Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack Experience in production-level deployment of AI models at enterprise scale. Proficiency in data preprocessing, feature engineering, and large-scale data handling. Expertise in image and video processing, object detection, image segmentation, and related CV tasks. Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. Experience with speech recognition, audio classification, and general signal processing techniques. Experience with RAG, VectorDB, GraphDB and Knowledge Graphs Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI). Required Skills: Strong leadership and team management skills. Excellent verbal and written communication skills. Strategic thinking and problem-solving abilities. Adaptability and adapting to the rapidly evolving AI/ML landscape. Strong collaboration and interpersonal skills. Ability to translate market needs into technological solutions. Strong understanding of industry dynamics and ability to translate market needs into technological solutions. Demonstrated ability to foster a culture of innovation and creative problem-solving. Show more Show less

Company Description Axiado is an AI-enhanced security processor company redefining the control and management of every digital system. The company was founded in 2017, and currently has 100+ employees. At Axiado, developing great technology takes more than talent: it takes amazing people who understand collaboration, respect each other, and go the extra mile to achieve exceptional results. It takes people who have the passion and desire to disrupt the status quo, deliver innovation, and change the world. If you have this type of passion, we invite you to apply for this job. Job Description We are on the lookout for a Machine Learning Engineer with a specialized focus on cybersecurity. The candidate should have a comprehensive understanding of the evolving landscape of cyber threats and be equipped with the skills to develop AI-driven solutions to these challenges. This role demands expertise in handling and mitigating sophisticated cyber-attacks such as ransomware, as well as ensuring high-level security in data centers and operational environments. Key Responsibilities: End 2 End Machine Learning Pipeline Development: Design and manage end-to-end machine learning pipelines tailored for cybersecurity applications. Implement effective data preprocessing and feature engineering strategies specific to cyber threat detection. Expertise in LLMs, Transformers, and Frameworks: Utilize large language models and transformers to analyze and predict cybersecurity threats. Proficient in frameworks like PyTorch and TensorFlow, applied in the context of cybersecurity. Specialized in Cyber Threat Detection and Mitigation: Develop AI-based solutions for the detection and prevention of ransomware and other advanced cyber threats. Implement BMC (Baseboard Management Controller) level security measures for data center protection. Conduct machine learning-based behavioral analysis for routine operational environments to detect anomalies and prevent intrusion. Edge Computing for Cybersecurity Applications: Optimize cybersecurity-focused machine learning models for deployment on edge devices. Address the unique challenges of implementing AI solutions in resource-constrained environments. Professional and Research Expertise in Cybersecurity and AI: Prefer candidates with experience in cybersecurity and AI, with the ability to turn research into practical solutions. Actively engaging in research, staying abreast of the latest threats and technological advancements in cybersecurity. Qualifications 5+ years of experience in machine learning and cybersecurity. Bachelor's or Master’s degree in Computer Science, Cybersecurity, Engineering, or a related field with a focus on AI/ML. Strong programming skills in Python, with experience in relevant ML libraries and frameworks. Demonstrated ability to solve complex problems and a commitment to innovation in the field of cybersecurity. Excellent communication skills and the ability to work collaboratively in a team environment. Additional Information Axiado is committed to attracting, developing, and retaining the highest caliber talent in a diverse and multifaceted environment. We are headquartered in the heart of Silicon Valley, with access to the world's leading research, technology and talent. We are building an exceptional team to secure every node on the internet. For us, solving real-world problems takes precedence over purely theoretical problems. As a result, we prefer individuals with persistence, intelligence and high curiosity over pedigree alone. Working hard and smart, continuous learning and mutual support are all part of who we are. Axiado is an Equal Opportunity Employer. Axiado does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Show more Show less

Experience :- 4 to 9 years Company :- ACL Digital Location :- Pune, Balewadi Work Mode: Hybrid Looking for Immediate joiner's Should have experience in NLP, Gen AI, Any Cloud(AWS or Azure), Computer Vision, Python,Deep Learning Excellent verbal and written communication skills. Must Have: Overall 4+ years of experience, out of which in 3+ in AI, ML and Gen AI and related technologies • Proven track record of leading and scaling AI/ML teams and initiatives. • Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. • Expertise in ML frameworks such as PyTorch and/or TensorFlow • Experience with ONNX runtime, model optimization and hyperparameter tuning. • Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack • Experience in production-level deployment of AI models at enterprise scale. • Proficiency in data preprocessing, feature engineering, and large-scale data handling. • Expertise in image and video processing, object detection, image segmentation, and related CV tasks. • Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. • Experience with speech recognition, audio classification, and general signal processing techniques. • Experience with RAG, VectorDB, GraphDB and Knowledge Graphs • Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI). Soft Skills • Strong leadership and team management skills. • Strategic thinking and problem-solving abilities. • Adaptability and adapting to the rapidly evolving AI/ML landscape. • Strong collaboration and interpersonal skills. • Ability to translate market needs into technological solutions. • Strong understanding of industry dynamics and ability to translate market needs into technological solutions. • Demonstrated ability to foster a culture of innovation and creative problem-solving. Show more Show less

Data Operations Engineer About the Role Responsibilities Operations Support Monitor and triage production data pipelines, ingestion jobs, and transformation workflows (e.g. dbt, Fivetran, Snowflake tasks) Manage and resolve data incidents and operational issues, working cross-functionally with platform, data, and analytics teams Develop and maintain internal tools/scripts for observability, diagnostics, and automation of data workflows Participate in on-call rotations to support platform uptime and SLAs Data Platform Engineering Support Help manage infrastructure-as-code configurations (e.g., Terraform for Snowflake, AWS, Airflow) Support user onboarding, RBAC permissioning, and account provisioning across data platforms Assist with schema and pipeline changes, versioning, and documentation Assist with setting up monitoring on new pipelines in metaplane Data & Analytics Engineering Support Diagnosing model failures and upstream data issues Collaborate with analytics teams to validate data freshness, quality, and lineage Coordinate and perform backfills, schema adjustments, and reprocessing when needed Manage operational aspects of source ingestion (e.g., REST APIs, batch jobs, database replication, kafka) ML-Ops & Data Science Infrastructure Collaborate with the data science team to operationalize and support ML pipelines, removing the burden of infrastructure ownership from the team Monitor ML batch and streaming jobs (e.g., model scoring, feature engineering, data preprocessing) Maintain and improve scheduling, resource management, and observability for ML workflows (e.g., using Airflow, SageMaker, or Kubernetes-based tools) Help manage model artifacts, metadata, and deployment environments to ensure reproducibility and traceability Support the transition of ad hoc or experimental pipelines into production-grade services Qualifications Required Qualifications At least 4 years of experience in data engineering, DevOps, or data operations roles Solid understanding of modern data stack components (Snowflake, dbt, Airflow, Fivetran, cloud storage) Proficiency with SQL and comfort debugging data transformations or analytic queries Basic scripting/programming skills (e.g., Python, Bash) for automation and tooling Familiarity with version control (Git) and CI/CD pipelines for data projects Strong troubleshooting and communication skills — you enjoy helping others and resolving issues Experience with infrastructure-as-code (Terraform, CloudFormation) Familiarity with observability tools such as datadog Exposure to data governance tools and concepts (e.g., data catalogs, lineage, access control) Understanding of ELT best practices and schema evolution in distributed data systems Show more Show less

Company Description: Volante is on the Leading Edge of Financial Services technology, if you are interested to be on an Innovative fast- moving team that leverages the very best in Cloud technology our team may be right for you. By joining the product team at Volante, you will have an opportunity to shape the future of payments technology, with focus on payment intelligence. We are a financial technology business that provides a market leading, cloud native Payments Processing Platform to Banks and Financial institutions globally. Education Criteria: • B.E, MSc, M.E/MS in Computer Science or similar major. Relevant certification courses from reputed organization. Experience of 3+ years as a Data Engineer Responsibilities: • The role involves design and development of scalable solutions, payment analytics unlocking operational and business insight • Own data modeling, building ETL pipelines and enabling data driven metrics • Build and optimize data models for our application needs • Design & develop data pipelines and workflows that integrate data sources (structured, unstructured data) across the payment landscape • Assess customer's data infrastructure landscape (payment ancillary systems including Sanctions, Fraud, AML) across cloud environments like AWS, Azure as well as on-prem, for deployment design • Lead the enterprise application data architecture design, framework & services plus Identify and enable the services for SaaS environment in Azure and AWS • Implement customizations and data processing required to transform customer datasets that is needed for processing in our analytics framework/BI models • Monitor data processing, machine learning workflows to ensure customer data is successfully processed by our BI models, debugging and resolving any issues faced along the way • Optimize queries, warehouse, data lake costs • Review and provide feedback on Data Architecture Design Document/HLD for our SaaS application • Cross team collaboration to successfully integrate all aspects of the Volante PaaS solution • Mentor to the development team Skills: • 3+ years of data engineering experience data collection, preprocessing, ETL processes and Analytics • Proficiency in data engineering Architecture, Metadata management, Analytics, reporting and database administration • Strong in SQL/NoSQL, Python, JSON and data warehousing/data lake , orchestration, analytical tools • ETL or pipeline design & implementation of large data • Experience with data technologies, frameworks like Databricks, Synapse, Kafka, Spark, Elasticsearch • Knowledge of SCD, CDC, core data warehousing to develop a cost-effective, secure data collection, storage, and distribution of data for SaaS application • Experience in application deployment in AWS or Azure w/container, Kubernetes • Strong problem-solving skills and passion for building data at scale Job Description Engineering Skills (Desirable): • Knowledge of data visualization tools like Tableau • ETL Orchestration tools like Airflow and visualization tools like Grafana • Prior experience in Banking or Payments domain Location: India (Pune or Chennai)

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision. This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint. Key Responsibilities Contribute to AI business growth by working on RFPs, proposals, and solutioning activities. Lead the team in delivering customer requirements, ensuring quality and timely execution. Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques. Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA. Interact directly with customers to understand their business needs and provide AI-driven solutions. Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models. Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings. Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate AI into business applications. Stay updated with AI/ML research and integrate new techniques into projects. Required Skills & Qualifications Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision. Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn). Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion). Experience with data preprocessing, feature engineering, and performance evaluation. Exposure to containerization and cloud deployment using Docker, Kubernetes. Experience with vector databases and RAG-based architectures. Ability to lead teams and projects, and work independently with minimal guidance. Experience with customer-facing roles, proposals, and solutioning. Educational Requirements Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field. Preferred Skills (Good To Have) Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting. Familiarity with Graph Neural Networks (GNNs). Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms. Contributions to open-source AI projects or publications in peer-reviewed journals. Skills:- Artificial Intelligence (AI) and Machine Learning (ML) Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent Show more Show less

Category Engineering Hire Type Employee Job ID 10606 Remote Eligible No Date Posted 15/06/2025 Job Summary: Synopsys’ Generative AI Center of Excellence defines the technology strategy to advance applications of Generative AI across the company. The GenAI COE pioneers the core technologies – platforms, processes, data, and foundation models – to enable generative AI solutions, and partners with business groups and corporate functions to advance AI-focused roadmaps. We are seeking a highly skilled and experienced Staff AI Engineer to join our dynamic and innovative team. As a Sr Staff AI Engineer, you will play a critical role in designing, developing, and deploying advanced AI and machine learning solutions. You will collaborate with cross-functional teams to drive AI initiatives and contribute to the development of cutting-edge technologies that enhance our products and services. This role demands a deep understanding of generative AI algorithms, strong programming skills, and the ability to lead and mentor junior engineers. Key Responsibilities: AI/ML Solution Development: Design, develop, and deploy AI and machine learning models and algorithms to solve complex business problems. Technical Leadership: Provide technical leadership and mentorship to junior engineers and data scientists, guiding them in best practices and advanced techniques. Research & Innovation: Stay up to date with the latest advancements in AI and machine learning technologies and them to improve existing systems or develop new solutions. Collaboration: Work closely with product managers, software engineers, and other stakeholders to define project requirements, create technical specifications, and ensure successful implementation of AI solutions. Data Analysis & Preprocessing: Perform data analysis, data preprocessing, and feature engineering to prepare datasets for machine learning models. Model Training & Evaluation: Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements. Deployment & Monitoring: Deploy AI models into production environments, and monitor their performance, making adjustments as necessary to maintain optimal operation. Documentation: Document AI models, algorithms, and methodologies to ensure reproducibility and knowledge sharing within the team. Compliance & Ethics: Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field. PhD is a plus. Experience: Minimum of 8 years of experience in AI and machine learning, with a proven track record of deploying AI solutions in a production environment. Experience in designing and managing scalable platforms for AI/ML solutions. Technical Skills: Strong proficiency in programming languages such as Python, or C++. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of statistical analysis, data mining, and data visualization techniques. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum). Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Proven leadership and mentorship abilities. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. Inclusion and Diversity : Synopsys considers all applicants for employment without regard to race, color, religion, sex, gender preference, national origin, age, disability, or status as a Covered Veteran in accordance with federal law. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Ascendeum is looking for mathematicians, with extensive hands-on experience in the field of data science, who can analyze large data sets efficiently to generate actionable business intelligence that drives peak performance for our clients. About Us: We provide AdTech strategy consulting to leading internet websites and apps hosting over 200 million monthly audiences worldwide. Since 2015, our consultants and engineers have consistently delivered intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns. Job Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns Helping develop reports and analysis. Present information using data visualisation techniques. Assessing tests, implementing new or upgraded software, and assisting with strategic decisions on new systems. Evaluating changes and updates to source production systems. Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks. Providing technical expertise in data storage structures, data mining, and data cleansing. Propose solutions and strategies to business challenges Desired Skills and Experience: Relevant 2+ years of experience in Data Analysis Complete understanding of Operations Research, Data Modelling, ML, and AI concepts. Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills. Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred Thank you for your interest in joining Ascendeum. Show more Show less

Job Description: Embedded AI Engineer Location: Dwarka Sector 12 Delhi Job Type: Full-Time / Contract / Freelance Job Description: We are seeking a skilled and motivated Embedded AI Engineer to develop and optimize a voice assistant system on resource-constrained devices like the ESP32-S3. You will be responsible for implementing wake word detection, voice activity detection (VAD), and basic speech command recognition using Espressif's ESP-SR framework, I2S microphones, and embedded ML models. And also, they have experience in computer vision-based project through that we can monitor particular object in Realtime using thermal and normal camera. Responsibilities: - Design and implement embedded voice assistant pipelines using ESP-SR, ESP-IDF, or PlatformIO. - Integrate I2S digital microphones (e.g., INMP441, DFPlayer) with ESP32 for real-time audio capture. - Develop wake word detection, VAD, and command recognition using models like WakeNet, MultiNet, or TinyML-based solutions. - - Optimize AI models and inference for ultra-low-power operation. - Manage real-time tasks using FreeRTOS on ESP32 platforms. - Interface with peripherals like SD cards, LEDs, relays, and Wi-Fi/BLE modules. - Debug, profile, and optimize memory and performance on constrained hardware. Required Skills: - Strong proficiency in C/C++ and embedded development for ESP32. - Experience with ESP-IDF, PlatformIO, or Arduino ESP32 core. - Practical knowledge of voice processing algorithms: VAD, wake word, STT. - Experience using or modifying ESP-SR, ESP-Skainet, or custom keyword spotting models. - Familiarity with I2S, DMA, and audio pre-processing (gain control, filtering). - Understanding of FreeRTOS, low-power modes, and real-time audio handling. Preferred/Bonus Skills: - Experience with TinyML, TensorFlow Lite for Microcontrollers, or Edge Impulse. - Knowledge of Python for data preprocessing and model training. - They have knowledge and experience in computer vision (OpenCV, image processing). - They have also knowledge and experience in Deep learning/AI for vision (like CNN, YOLO or Faster-R CNN, pytorch, TensorFlow, keras) - Having Experience on Nvidia Jetson Nano/Orin based device. - Experience with Bluetooth (BLE) or Wi-Fi communication for IoT applications. - Experience in noise reduction (e.g., NSNet), echo cancellation, or ESP-DSP. Qualifications: - Bachelor's or Master's degree in Electronics, Embedded Systems, Computer Engineering, or related field. - 2+ years of experience in embedded firmware or AI on edge devices. Why Join Us? - Work on cutting-edge embedded AI products for consumer and industrial voice control. - Opportunity to shape next-gen low-power voice assistant hardware. - Flexible remote work options and tech ownership. How to Apply: Send your resume, GitHub/portfolio, and any project demos to: Email: hr@gfofireequipments.com Job Type: Full-time Pay: From ₹100,000.00 per month Schedule: Day shift Work Location: In person

Hiring For AI/ML Intern:- Job Description:- Assist in the development and implementation of machine learning algorithms and models. Participate in data collection, preprocessing, and feature engineering tasks. Collaborate with team members to conduct research and experimentation to improve model performance. Support the deployment of machine learning models into production environments. Perform exploratory data analysis to gain insights and identify trends in the data. Help maintain and optimize existing machine learning pipelines and workflows. Stay up-to-date with the latest developments and trends in artificial intelligence and machine learning. Requirement : B.Tech (Mandatory) Job Location: Indore (Onsite) Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 Job Type: Internship Contract length: 6 months Schedule: Day shift Application Question(s): Immediate Joiner Did you work on Python? Have you completed your B.Tech Degree? (Mandatory) Did you work on Chatbot/TensorFlow/NumPy? Do you live in Indore (M.P.) ? Can you attend the Interview in office? Language: English (Required) Work Location: In person

🧠 Data Science Intern – Remote | Explore the World of AI & Data Are you fascinated by machine learning, data modeling, and real-world applications of AI? If you're ready to dive into the exciting world of data science, join Skillfied Mentor as a Data Science Intern and start building your future in tech. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Data Science Intern , you'll get hands-on exposure to real data problems, machine learning concepts, and practical projects. This internship is designed to give you experience that matters — even without prior industry background. 🔹 Work with real datasets to build and test models 🔹 Learn tools like Python, Pandas, NumPy, Scikit-Learn, and Jupyter Notebooks 🔹 Understand the basics of machine learning and data preprocessing 🔹 Collaborate with a remote team to solve business-related challenges 🔹 Apply statistics and coding to derive data-driven solutions 🔍 You’re a Great Fit If You: ✅ Have basic Python knowledge or are eager to learn ✅ Are curious about AI, data modeling, and machine learning ✅ Can dedicate 5–7 hours per week (flexibly) ✅ Are a self-learner and motivated to grow in the data science field ✅ Want to build a strong project portfolio with real use cases 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Real Projects to Showcase Your Skills 🧠 Practical Knowledge of Data Science Workflows 📈 Experience with Tools Used by Professionals ⏳ Last Date to Apply: 20th June 2025 Whether you’re a student, fresher, or career switcher, this internship is your entry point into the dynamic world of Data Science . 👉 Apply now and bring your data science journey to life with Skillfied Mentor. Show more Show less

Job Title: Data Scientist Experience: 6-10 years Location: Noida Contract duration: 6 months + extendable Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques, including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, and contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. • Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field, and must be experience of 6-10 years. • Desirable Skills: Must Have 1. Experience in time series forecasting, regression Model, Classification Model 2. Python, R, Data analysis 3. Large-scale data handling with Pandas, Numpy, and Matplotlib 4. Version Control: Git or any other 5. ML Framework: Hands-on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/Azure/ GCP), Docker, Kubernetes 7. Model Selection, evaluation, Deployment, Data collection, and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Show more Show less

Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? Train, fine-tune, and deploy Large Language Models (LLMs) to solve real-world problems effectively Design, implement, and optimize AI/ML pipelines to support model development, evaluation, and deployment Collaborate with Architect, software engineers, and product teams to integrate AI solutions into applications Ensure model performance, scalability, and efficiency through continuous experimentation and improvements Work on LLM optimization techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, etc Manage and automate the infrastructure necessary for AI/ML workloads while keeping the focus on model development Work with DevOps teams to ensure smooth deployment and monitoring of AI models in production Stay updated on the latest advancements in AI, LLMs, and deep learning to drive innovation What do you bring to the table? Strong experience in training, fine-tuning, and deploying LLMs using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers Hands-on experience in developing and optimizing AI/ML pipelines, from data preprocessing to model inference Solid programming skills in Python and familiarity with libraries like NumPy, Pandas, and Scikit-learn Strong understanding of tokenization, embeddings, and prompt engineering for LLM-based applications Hands-on experience in building and optimizing RAG pipelines using vector databases (FAISS, Pinecone, Weaviate, or ChromaDB) Experience with cloud-based AI infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes) Experience in model monitoring, A/B testing, and performance optimization in a production environment Familiarity with MLOps best practices and tools (Kubeflow, MLflow, or similar) Ability to balance hands-on AI development with necessary infrastructure management Strong problem-solving skills, teamwork, and a passion for building AI-driven solutions Show more Show less

Client Type: US Client Location: Remote About the Role We’re creating a new certification: Google AI Ecosystem Architect (Gemini & DeepMind) - Subject Matter Expert . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement. Show more Show less

Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection preprocessing, estimation, Architecture creation Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. • Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years. • Desirable Skills: Must Have 1. Experience in timeseries forecasting, regression Model, Classification Model 2. Python , R, Data analysis 3. Large size data handling with Panda , Numpy and Matplot Lib 4. Version Control: Git or any other 5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis 7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week Show more Show less

Job description We are looking for AI Developer to work at our organisation Job Description: We are looking for passionate and talented AI to join our team and work on cutting-edge artificial intelligence and machine learning projects. This role will provide hands-on experience in AI model development, data processing, and deploying intelligent solutions. Key Responsibilities: Develop, train, and test machine learning and deep learning models Work with large datasets, preprocess data, and optimize models Implement AI algorithms for real-world applications such as NLP, computer vision, and predictive analytics Collaborate with cross-functional teams to integrate AI solutions into products Stay updated with the latest AI advancements and research Write clean, efficient, and well-documented code Required Skills: Strong understanding of machine learning, deep learning, and AI concepts Proficiency in Python and AI libraries Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus Excellent problem-solving and analytical skills Strong communication and teamwork abilities Job Types: Full-time, Permanent Job Types: Full-time, Permanent Benefits: Provident Fund Location Type: In-person Schedule: Day shift Morning shift Application Question(s): How many years of AI Developer experience your having? Current Salary and Salary Expectation Notice period duration Location: Coimbatore, Tamil Nadu (Required) Work Location: In person Speak with the employer +91 7010166778

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

Selected Intern's Day-to-day Responsibilities Include Assist in data collection, cleaning, and preprocessing using Excel, SQL, or Python. Support in building dashboards and visualizations (Tableau, Power BI, etc.). Work with the analytics team to identify data trends and business insights. Participate in designing and running A/B tests or analytical experiments. Generate weekly/monthly reports and performance summaries. About Company: Urban Company is a technology platform offering customers a variety of services at home. Customers use our platform to book services such as beauty treatments, haircuts, massage therapy, cleaning, plumbing, carpentry, appliance repair, painting etc., all delivered in the comfort of their home and at a time of their choosing. We promise our customers a high quality, standardized and reliable service experience. To fulfill this promise, we work closely with our hand-picked service partners, enabling them with technology, training, products, tools, financing, insurance, and brand, helping them succeed and deliver on this promise. Our mission is to empower millions of service professionals by delivering services at home in a way that has never been experienced before. Show more Show less

Job Description Key Responsibilities Hands-on Development Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic Ai. Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python. Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources. Mentorship Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Qualifications Bachelor’s degree in a relevant field (e.g., Computer Science) or equivalent combination of education and experience. Typically, 8-10 years of relevant work experience in AI/ML/GenAI 15+ years of overall work experience. With proven ability to manage projects and activities. Extensive experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic AI Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT. Proficient programming skills in Python and experience with cloud platforms like AWS. Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc., is a plus. Proven experience leading a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications Experience in setting technical direction and strategy for AI/ML projects. Experience in the Insurance domain Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here . Show more Show less

Job Category: AIML Job Type: Full Time Job Location: Bengaluru Mangalore Experience: 4-8 Years Skills: AI AWS/AZURE/GCP Azure ML C computer vision data analytics Data Modeling Data Visualization deep learning Descriptive Analytics GenAI Image processing Java LLM models ML ONNX Predictive Analytics Python R Regression/Classification Models SageMaker SQL TensorFlow Position Overview We are looking for an experienced AI/ML Engineer to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer. Job Type: Full-Time Job Location: Bengaluru Experience Required: 4-8 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles And Responsibilities Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and Transfer Learning. Implement image preprocessing and advanced computer vision pipelines. Optimize deep learning models using pruning, quantization, and ONNX for deployment on edge devices. Work with PyTorch, TensorFlow, and ONNX frameworks to develop and convert models. Accelerate model inference using GPU programming with CUDA and cuDNN. Port and test models on embedded and edge hardware platforms. ( Orin, Jetson, Hailo ) Conduct research and experiments to evaluate and integrate GenAI technologies in computer vision tasks. Explore and implement cloud-based AI workflows, particularly using AWS/Azure AI/ML services. Collaborate with cross-functional teams for data analytics, data processing, and large-scale model training. Required Skills Strong programming experience in Python. Solid background in deep learning, CNNs, and transfer learning and Machine learning basics. Expertise in object detection, classification, segmentation. Proficiency with PyTorch, TensorFlow, and ONNX. Experience with GPU acceleration (CUDA, cuDNN). Hands-on knowledge of model optimization (pruning, quantization). Experience deploying models to edge devices (e.g., Jetson, mobile, Orin, Hailo ) Understanding of image processing techniques. Familiarity with data pipelines, data preprocessing, and data analytics. Willingness to explore and contribute to Generative AI and cloud-based AI solutions. Good problem-solving and communication skills. Preferred (Nice-to-Have) Experience with C/C++. Familiarity with AWS Cloud AI/ML tools (e.g., SageMaker, Rekognition). Exposure to GenAI frameworks like OpenAI, Stable Diffusion, etc. Knowledge of real-time deployment systems and streaming analytics. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities. Visit us on: CodeCraft Technologies LinkedIn : CodeCraft Technologies LinkedIn Instagram : CodeCraft Technologies Instagram Show more Show less

Job Description & Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modelling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Qualification, Skills & Experience Good hands-on experience in Advanced Python Programming Experiences in scalable Microservice Architecture and Development Good understanding of API Development, Messaging Queues and Asynchronous Task Management Basic DevOp skills and working with Docker Experience with LangChain, LangGraph, AutoGen or CrewAI are a big plus Ability to co-work in a small team with different locations Ability to learn and understand a new Python framework Show more Show less

AI Engineer Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing RAG based application: In depth understanding of stages of RAG - chunking, retrieval etc. Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. Data Analytics: Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking**: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience Experience: 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Master’s or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Soft Skills: Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. Problem-Solving: Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Speed to outcome Preferred Skills Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data scien Show more Show less