802 Neural Networks Jobs - Page 11

Job Mode : Onsite/Work from Office | Monday to Friday | Shift 1 (Morning). Job Location : Hyderabad (Hi-Tech City nearby Image Hospital). Responsibilities : - Work experience of 3+ years with Deep Learning and Neural networks. - Researching new models and machine learning algorithms. - Designing prototypes and conducting experiments to guide engineering efforts. - Creating ML applications based on client/customer requirements. - Tell business stories through model outcomes and data. - Analyzing test results to improve models. - Exploring and visualizing data to identify potential issues that might affect model performance. - Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use. - Production deployment and maintenance of ML Systems. Skills required for this position include : - Advanced math and stats skills (calculus, linear algebra, Bayesian statistics). - A degree in a related field (math, computer science, statistics). - Strong teamwork, problem-solving, and analytical abilities. - Knowledge of data science. - Proficiency in coding and programming languages (Python, SQL). - Practical experience with ML frameworks and libraries. - Knowledge of software architecture, data modeling, and data structures. - Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud).

We are looking for a highly skilled and experienced Generative AI Engineer to join our team at Assemblage Entertainment, with 3-8 years of experience in the field. Roles and Responsibility Design and develop generative AI models for various applications. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop and implement data augmentation techniques to enhance model performance. Conduct research on new AI technologies and trends to stay updated. Optimize model performance using hyperparameter tuning and other techniques. Work closely with the development team to ensure seamless integration of AI models. Job Requirements Strong understanding of deep learning concepts, particularly in generative adversarial networks (GANs) and variational autoencoders (VAEs). Experience with programming languages such as Python, Java, or C++ is required. Familiarity with cloud platforms like AWS or Google Cloud for deploying AI models. Knowledge of agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

Looking for a candidate with R&D experience in software product development, image analysis, computer vision, ML models, neural networks, image forensics, and algorithm design for classification, detection, and anomaly detection tasks.

Job Title: Artificial Intelligence & Machine Learning Tech Lead Location: Chennai (Hybrid model - 2 days working from office) Role Summary We are seeking a seasoned Artificial Intelligence & Machine Learning (AI/ML) Tech Lead to drive the technical design, development, and deployment of AI solutionsincluding fine-tuning foundation models, building agentic applications, and implementing production-grade Retrieval-Augmented Generation (RAG) pipelines. This role requires close collaboration with pre-sales teams, account delivery managers, solution architects, and enterprise clients to define and deliver AI solutions tailored to business needs. The ideal candidate will provide hands-on technical leadership throughout the AI/ML lifecycle—leading proof-of-concept (POC) efforts, conducting solution demos, and overseeing production-grade implementations. They will also mentor engineering teams, enforce best practices, and ensure the successful delivery of AI initiatives Key Responsibilities 1. Lead Technical Delivery & Mentorship Lead and mentor a team of 6–10 engineers; establish coding standards, conduct design and PR reviews, and drive continuous improvement. Foster a culture of knowledge-sharing through KT Sessions, documentation, and best-practice guides. 2. AI/ML Model Development & Optimization Develop, fine-tune, and optimize models using PyTorch, TensorFlow, and modern ML frameworks. Apply prompt engineering and advanced techniques to foundation models (e.g., GPT-4, Claude, Llama). Deliver NLP solutions such as document classification, sentiment analysis, summarization, entity extraction, conversational AI, and generative content/workflow automation. Design and implement RAG workflows leveraging vector databases, smart chunking, ranking, and caching for accurate, grounded responses. Build multi-agent systems for task decomposition, planning, and tool usage in complex environments. 3. MLOps & Productionization Implement MLOps best practices: CI/CD pipelines, model monitoring, feature stores, lineage, and governance. Ensure model reproducibility, drift detection, explainability (SHAP, LIME), and responsible AI practices. Optimize inference throughput/latency and ensure robust rollback strategies. 4. Performance, Security, and Compliance Ensure security, compliance, and performance of AI solutions, adhering to industry standards and regulations. Integrate with external APIs, optimize for cost/latency, and manage observability. 5. Stakeholder Engagement & Roadmapping Translate business objectives into technical designs; communicate risks, metrics, and impact to executives and stakeholders. Produce design diagrams, runbooks, and model cards; lead knowledge-sharing sessions and workshops. Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) Infrastructure as Code (nice-tohave) MLOps Experiment Tracking: DVC, Weights & Biases, Neptune, TensorBoard etc Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails, hallucination tests, behavioral evals Security & Compliance Best Practices & Design Governance Apply industry best practices: Secure AI development, responsible AI, model explainability, bias detection, and privacy-preserving techniques. Champion documentation standards, reusable reference architectures, and model cards. Participate in architecture review boards and provide guidance to ensure consistency and quality across AI initiatives. Leadership & Pre-Sales Experience Proven track record shipping ML products at scale Lead client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–12 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end. Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related field. Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Soft Skills & Leadership Attributes Influential communication: Translate complex ML concepts for non-technical stakeholders; strong presentation & storytelling. Mentorship mindset: Coach, upskill, and inspire cross-functional teams; foster psychological safety. Ownership & bias for action: Deliver POCs, iterate based on feedback, drive solutions to production. Critical thinking & experimentation: Data-driven decision making, hypothesis testing, A/B experimentation. Adaptability: Stay current with rapid advances in GenAI, tooling, and research; evaluate emerging models/services.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors. Roles & ResponsibilitiesDesign and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad. Fine-tune and deploy large language models (LLMs) for task-specific applications Integrate tools, APIs, and external systems into agent workflows for enhanced functionality Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines Develop robust backend systems for real-time agent inference and data processing Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency Collaborate with cross-functional teams to translate business needs into AI capabilitiesRequired Skills and Qualifications:Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines Experience in using LangChain, AutoGen, or similar agentic frameworks Exposure to Docker, REST APIs, and cloud platforms (AWS) Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Overview: Mosquito Larval Swim Kinematics Mosquitoes are vectors for many diseases. Active surveillance of disease carrying mosquito species can help public health officials prepare for disease outbreaks and target particular locations for control measures. Through this project, we aim to create an automated system that leverages citizen science to facilitate monitoring disease carrying mosquito species. You will use Computer Vision and Machine Learning techniques to identify and track mosquito larvae from video recordings. You will train artificial neural network models and use them along with other computer vision techniques to identify and track individual larvae and analyse the data to answer scientific questions. You will also collaborate with a software developer to set up a pipeline for automating the process of identifying and tracking larvae from video data. Key skills: Python, Machine Learning, Convolutional Neural Networks, Computer Vision, Data Analysis Duration Initially for one year Qualification Bachelor s Degree or higher. People with engineering degrees are encouraged to apply

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience in developing and deploying chatbots using natural language processing techniques.- Familiarity with image processing algorithms and techniques.- Solid grasp of software development practices and version control systems. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualification Who we are looking for 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title: Data Scientist Lead (Technical Lead) Experience: 7+ years Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customer’s requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow s intelligent platform, we deliver a seamless, personalized experience at every step of our customers journey. The products we build power digital business for ServiceNow and can even become commercially available. As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code thats scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero." What you get to do in this role: Design and build scalable search ranking, indexing and personalization systems. Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Integrate user behavior signals, session data, and content metadata to optimize relevance. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Real-time Personalization using query Embeddings for Search Ranking Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Experience in MLOps and model governance Strong analytical and quantitative problem-solving ability Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

Job Title: Data Scientist Location: Sector V, Salt Lake, Kolkata (3 days WFO , 2 days WFH) Notice: Maximum 15 days (Immediate Joinees Preferred) Education Requirements: Full-time Masters degree in Computer Science, AI/ML, Data Science, Statistics, or Mathematics from a reputed institution. PhD preferred (Not Mandatory) Experience: Minimum 3 years of relevant industry or research experience (for Masters) 1 to 2 years for PhD holders Key Skills: Strong knowledge of Data Structures and Algorithms Advanced programming skills in Python ( Mandatory ) Working knowledge of C++ ( Good to have ) Hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, clustering Good understanding of algorithm design and development Familiarity with reinforcement learning, computer vision, or NLP is an advantage Job Responsibilities: Design and develop robust AI/ML algorithms to solve complex technical problems Build, test, and optimize ML models for high performance Prepare clear documentation and present technical work to stakeholders Work in a collaborative team for integration, productisation, and deployment Stay updated with latest AI/ML trends and contribute new ideas Good to Have: 4G/ 5G Domain Experience Knowledge of Cloud Research publications, patents, or open-source contributions

Staff Engineer/Tech Lead AI/ML [ Natural Language Processing, Transformers, Gen AI, LLM, Neural Networks] The Opportunity As a Staff Engineer (MTS-6) , you will own the architecture and AI/ML systems that power both log and metrics analysis , enabling automated diagnostics and reducing triage time for QA failures, regression runs, and customer issues. Youll also help define and drive the central AI charter at Nutanix, building reusable components, model infrastructure, and scalable ML services. About the Team The Panacea team has a passionate set of engineers across India and US office. We move fast, collaborate closely, and care deeply about quality and ownership. Our mission is to deliver AI/ML-powered developer productivity tools that solve real engineering and support pain points at scale. Why Join Us Build AI-first observability tools that redefine how engineers triage and troubleshoot. Own systems that reduce hours of manual work in engineering and SRE workflows . Collaborate with a tight-knit team of high-ownership engineers who are passionate about impact and innovation. Hybrid work model that supports flexibility and deep focus. Help shape the central AI charter at Nutanix and influence future AI products across the company. Your Role AI-Powered Observability Platform : Own the vision, architecture, and delivery of Panaceas ML-based log and metrics analyzer that reduces triage time and improves engineering efficiency. AI/ML-powered Log Analyzer Tool : Use deep learning (e.g., ModernBERT ) to represent log messages, detect anomalies, group patterns, and surface actionable insights to users. Metrics Anomaly Detection Engine : Build robust ML models to detect anomalies in time-series metrics like CPU, memory, disk I/O, network traffic, service health , and moreautomatically identifying performance degradation or system regressions across distributed environments. Auto-RCA Engine : Combine log and metrics signals with graph-based correlation and LLM-powered summarization to automatically diagnose the root cause of system failures. Feedback Loop & Continuous Learning : Build infrastructure for incorporating user feedback to continuously retrain and improve anomaly detection systems. LLM Integration : Integrate LLMs for user queries, problem summarization, anomaly explanation, and contextual recommendations. Central AI Charter : Contribute to Nutanixs foundational AI platform by defining shared tooling, datasets, governance, and reusable ML components across products. Responsibilities Architect and scale ML pipelines for real-time and batch-based anomaly detection in both logs and time-series metrics. Build and fine-tune ModernBERT and other transformer-based models for log understanding, anomaly classification, and summarization. Develop unsupervised and semi-supervised ML models for detecting anomalies in system metrics (CPU, memory, network throughput, latency, etc.). Implement correlation models to connect anomalies across logs and metrics to form a cohesive RCA narrative. Own the entire ML lifecycle: data ingestion, feature extraction, model training, evaluation, deployment, and monitoring. Build explainable AI systems that increase adoption and trust within engineering, QA, and support teams. Collaborate with cross-functional stakeholders (SRE, QA, Dev) to deeply understand pain points and translate them into intelligent tooling. Drive technical excellence through code and design reviews, mentoring, and setting engineering best practices. What You Will Bring Educational Background : B.Tech/M.Tech in Computer Science, Machine Learning, AI, or related fields. Experience : 12+ years of engineering experience , including designing , developing and deploying AI/ML systems at scale. ML Expertise : Strong in time-series anomaly detection, statistical modeling, supervised/unsupervised learning. Experience building ML models for metrics data (CPU, memory, IOPS, network, etc.) using models like Isolation Forest, Prophet, LSTM, or deep autoencoders. Expertise in NLP using ModernBERT, BERT, or log classification, clustering, and summarization. Experience with LLMs for downstream tasks like summarization, root cause reasoning, or intelligent Q&A. Engineering Skills : Strong Python background, hands-on with ML libraries (PyTorch, TensorFlow, Scikit-learn), time-series frameworks, and MLOps tools. Familiar with data pipelines and serving models. Observability Knowledge : Hands-on with logs, metrics, traces, and popular monitoring tools (e.g., Prometheus, Grafana, ELK). Leadership : Ability to independently drive projects from requirements to delivery, mentor junior engineers, and deliver business impact. Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

IT Education Centre is looking for Data Science Trainer to join our dynamic team and embark on a rewarding career journey Curriculum Development: Designing and creating training programs or courses covering a wide range of data science concepts and tools, tailored for different skill levels, from beginners to advanced learners Instruction and Delivery: Conducting training sessions, workshops, or classes to teach data science methodologies, tools, and best practices This involves explaining complex concepts in an understandable manner and using practical examples and exercises Material Creation: Developing educational materials, including presentations, slides, handouts, coding exercises, and datasets, to support the learning process Hands-on Practice: Providing opportunities for students to apply theoretical concepts through hands-on projects or real-world case studies, enabling them to gain practical experience Mentoring and Support: Offering guidance, feedback, and support to students or trainees throughout their learning journey, helping them overcome challenges and advance their skills Staying Updated: Keeping abreast of the latest trends, tools, and techniques in data science and integrating new developments into training materials and curriculum Assessment and Evaluation: Assessing the progress of trainees through assignments, tests, or projects, and providing constructive feedback to help them improve Engagement and Collaboration: Collaborating with other trainers, educators, or professionals in the field to exchange knowledge, share resources, and enhance training methodologies

Early part of a World Class product doing unimaginable engineering magic Design, implement and train state-of-the-art deep learning and Generative AI models for visual content. Research and evaluate the performance of the latest deep learning architecture to solve challenging real problems. Design innovative AI based Image rendering pipelines for pre-processing and post-processing images About you Solid code-writing skills in Python Experience working with generative models APIs including Dalle, Stable Diffusion, GPT3 Have experience with working on atleast one of the following deep learning models: Transformers, GANs, Diffusion based models. Solid experience working with image libraries like OpenCV and/or PIL Some experience fine-tuning and training AI models on Cloud for different use-cases Bonus points Experience Deploying and Inferencing AI models using cloud Experience with real and synthetic large-scale data curation for real problems A track record of publications and contributions to the machine learning and computer vision communities If you dont have some of above, but still feel youre exceptional, you can still reach out

Skills Required Deep Learning Expertise: Strong understanding of deep learning concepts, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), transfer learning, etc. Proficiency in Machine Learning Frameworks: Hands-on experience with popular frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Mathematics for Machine Learning: Solid knowledge of mathematical foundations, including linear algebra, probability, statistics, and optimization algorithms related to deep learning. Experience in Model Building: Ability to build, train, and optimize deep learning models for different use cases like image classification, NLP, speech recognition, etc. Content Development Skills: Experience in creating comprehensive learning materials, including video lectures, assignments, quizzes, and projects for students. Programming Proficiency: Strong knowledge of Python and libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Cloud and Deployment: Familiarity with deploying deep learning models on cloud platforms like AWS, GCP, or Azure. Hands-on Projects: Experience in creating hands-on projects to help students apply learned concepts practically. Pedagogy & Curriculum Development: Ability to structure and organize technical content clearly and logically to suit a range of learning levels. Communication Skills: Excellent written and verbal communication skills to explain complex technical concepts simply and effectively. Collaboration Skills: Ability to work with instructors, instructional designers, and subject matter experts to create engaging and accurate content. Prior experience in content development is preferred. Responsibilities Assist the Technical Content Developer (TCD) in creating high-quality technical content across various formats such as text, video scripts, presentations, and interactive materials. Support the TCD in researching and gathering resources to ensure the accuracy and relevance of the content. Collaborate with Subject Matter Experts (SMEs) and other team members to refine and polish content for final delivery. Contribute to developing curriculum outlines, roadmaps, and learning objectives under the guidance of the TCD. Ensure content is optimized for different learning formats, adapting materials as required. Participate in regular content reviews and provide suggestions for improvements or updates based on learner feedback. Stay updated on industry trends and assist in incorporating emerging technologies and techniques into the content. Manage smaller content projects independently while maintaining alignment with the overall curriculum goals. Job Overview Location : NxtWave Office Spaces in Hyderabad Job Type : Full-Time Working days : 5

Best Enterprises , a leader in packaging automation and industrial vision systems, is expanding its R&D team. We are looking for a Computer Vision Engineer with strong programming skills and a passion for applying AI/ML in visual inspection and defect detection . Freshers with strong programming skills and a passion for computer vision are welcome to apply. Programming Work Develop image processing applications using C++ and OpenCV . Apply AI/ML/Deep Learning models to detect complex defects and classification tasks. Build real-time and low-cost industrial applications using compact embedded vision systems. System Integration Work Select and procure cameras, lenses, lights, computers, embedded PCs . Source bowl feeders, linear conveyors , and material handling systems. Collaborate with mechanical engineers to finalize camera and light positioning . Interface vision systems with PLCs, encoders, and industrial sensors . Required Skills Proficient in OpenCV and image processing techniques. Strong coding skills in C++ (or C# ). 2 years of hands on experience in Computer vision Preferred Skills In-depth understanding of AI / ML / Deep Learning for vision tasks. Hands-on with integrating AI models into real-time industrial vision applications. Experience with TensorFlow or PyTorch or YOLO or ONNX is a plus. Familiarity with NVIDIA Jetson or Raspberry Pi or Coral TPU based deployments. Interview Process The selection process includes a phone interview followed by an in-person assessment of programming skills

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Experience : 4 to 8 years Mandatory skills for an SME Content Development Proactive in continuous learning Prior experience at L&D , content development, conducting workshops, teaching technical sessions Mandatory technical skills for Data Science SME Programming in Python with a strong hands-on experience Hands-on experience in Data Analytics Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc. Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc. Machine Learning: Supervised and unsupervised algorithms Advanced Machine Learning: Bagging and Boosting Techniques Time Series Analysis: ARIMA, SARIMA, Holt-Winters model etc. Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM Natural Language Processing: Text Processing NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI Value-add: BI tools like PowerBI Data Engineering with Azure Cloud Services If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Req ID: 331415 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Advisor to join our team in Bangalore, Karn taka (IN-KA), India (IN). Required skills: 5 + years of experience in IT Technology. 2+ years of experience in AI / ML with strong working knowledge in neural networks. 2+ years of data engineering experience preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry or AWS Lambda 2+ years of python coding using numpy, vectorization and Tensorflow. 2+ years of experience leading complex enterprise-wide integration programs and efforts as an individual contributor Preferred Skills: Mathematics or physics degree. 2+ years of technical knowledge in cloud technologies such as AWS, Azure, GCP Excellent verbal, written, and interpersonal communication skills Ability to provide strong customer service. #LI-INPAS