1644 Deep Learning Jobs - Page 11

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

ECMS Req # ECMS#527449,527448,527447 - AWS SageMaker ML and GEN AI Engineer Role Senior Lead Data Scientist Number of Openings 3 Duration of project 6-12 months(initial contract 3 months, later extended based on project) No of years experience 5+ years Detailed job description - Skill Set: The AWS SageMaker Engineer (Gen AI, LLMs, & NLP) will design, develop, and deploy advanced machine learning models, focusing on Generative AI, Large Language Models (LLMs), Agentic AI, traditional AI, and Natural Language Processing (NLP) using AWS SageMaker and AWS Bedrock. This role involves leveraging Python and deep learning frameworks to build scalable, intelligent systems for tasks like text generation, sentiment analysis, autonomous decision-making, and more, using models such as LLaMA or similar. The engineer will collaborate with data scientists, AI researchers, and DevOps teams to deliver production-ready AI solutions that align with business objectives. Key Responsibilities: Model Development: Build, train, and fine-tune Gen AI, LLMs, Agentic AI, and traditional AI models using AWS SageMaker and AWS Bedrock, including deep learning models for NLP tasks (e.g., text classification, entity recognition, summarization) and models like LLaMA. Fine-Tuning & Customization: Fine-tune pre-trained LLMs Experience: 4+years of experience in machine learning engineering, with expertise in Gen AI, LLMs, traditional AI, deep learning, and NLP. 6+ Hands-on experience with AWS Devops and AWS Bedrock for training, fine-tuning, and deploying AI models. Experience with open-source LLMs (e.g., LLaMA) or Bedrock-hosted models (e.g., Titan, Claude Experience with AWS Dev Ops, CI/CD integration. Kubernetes, Dockers Experience in Creating ML Flows using AWS Sagemaker Experience in using ML Models monitoring using clodwatch Experience in working with GEN AI, Langchain, Open AI Models and deployment of GEN AI models using AWS Sagemaker Experience in Deploying ML models using AWS sagemaker ML workflow orchestration and enabling CI/CD integration Experience with AWS services (e.g., S3, Lambda, Step Functions, Comprehend) and cloud architecture. Soft Skills: Strong problem-solving and analytical skills. Excellent communication to convey complex AI/NLP concepts to non-technical stakeholders. Ability to thrive in collaborative, fast-paced environments. Mandatory Skills AWS Sagemaker Professional with ML, NLP, GEN AI and Dev Ops experience. Vendor Billing range 8000-9000 per day depending on experience and interview performance. Work Location Bangalore, Hyderabad Hybrid Yes BGV Pre/Post onboarding Pre If its pre-onboarding, Interim or final BG report Final BG Report

Role & responsibilities 4+years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery Python Experience Preferred candidate profile Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities

AI/ML Developer - Python1 Position Title : AI/ML Developer - Python No of position 1 Location Pune / Hyderabad : Design machine learning systems Research and implement machine learning algorithms and tools Manage and direct research and development processes to meet the needs of our AI strategy Develop machine learning applications in alignment with project requirements and business goals Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems Select appropriate datasets and data representation methods Extend existing machine learning libraries and frameworks Train systems and retrain as necessary Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions Advise leaders on technology, strategy, and policy issues related to AI/ML Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Coordinating with front-end developers. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Work with the Data Scientists and Data Engineers to create production quality. Machine Learning pipelines and solutions with an emphasis on Performance, Scalability, Reliability, and Maintainability. Build components and libraries that will improve existing solutions and improve the delivery of new ones Required Skills and Experience 3+ years of experience applying AI to practical uses Experience with deep learning, NLP, and TensorFlow Experience writing robust code in Python, Java, and/or R Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Knowledge of basic algorithms and object-oriented and functional design principles Knowledge of data structures, data modeling, and software architecture Knowledge of math, probability, statistics, and algorithms Knowledge of machine learning frameworks Knowledge of machine learning libraries such as scikit-learn Excellent communication skills Strong analytical and problem solving skills Preferred Qualifications Bachelor's degree in a relevant technology field Experience with cloud environments

AI/ML Engineers1 AI/ML (Artificial Intelligence/Machine Learning) engineers with 3+ years of experience and having knowledge of Python, Microsoft OpenAI, and GitHub Copilot, along with AWS (Amazon Web Services) cloud experience. Design, implement, and optimize machine learning algorithms using Python to solve complex business problems. Build Prototypes, demos and Gen AI and AI/ML Solutions. Leverage Microsoft OpenAI and GitHub Copilot for enhanced code suggestions and collaboration. Train, evaluate, and fine-tune machine learning models on large datasets using frameworks like TensorFlow or PyTorch. Utilize OpenAI's models for natural language processing tasks and generate code snippets with Copilot to expedite development. Perform data preprocessing tasks, including cleaning, normalization, and feature engineering, to prepare datasets for machine learning models. Use Python libraries and tools to extract meaningful features from raw data. Deploy and manage machine learning models on AWS cloud infrastructure. Utilize AWS services like SageMaker for model training, deployment, and monitoring. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Document code, models, and processes to ensure transparency and facilitate knowledge transfer. Implement CI/CD pipelines to automate the testing, deployment, and monitoring of machine learning models. Use GitHub Copilot to enhance code quality and efficiency in the development lifecycle. Monitor the performance of deployed models and optimize them for scalability, speed, and accuracy. Implement best practices for model versioning and management. Ensure that machine learning solutions adhere to security standards and compliance requirements. Implement secure coding practices and data protection measures. Stay updated on the latest advancements in AI/ML, Python, OpenAI, and cloud technologies. Experiment with new models, techniques, and tools to drive innovation within the team. Troubleshoot and debug issues related to machine learning models, Python code, and cloud infrastructure. Collaborate with support teams to address production issues promptly. Provide guidance and training to team members on AI/ML best practices, Python coding standards, and effective use of OpenAI and Copilot. Conduct workshops or knowledge-sharing sessions within the organization. Optimize cloud resources to ensure cost-effectiveness in model training and deployment on AWS. Proficiency in python, Gen AI, Microsoft OpenAI, and GitHub Copilot, along with AWS Strong knowledge of Python, TensorFlow and PyTorch Strong knowledge of NLPs like Microsoft OpenAI and Copilot Knowledge of cloud platforms like Amazon Web Services. Solid understanding of SQL and data manipulation techniques for data extraction, transformation, and loading. Ability to understand business requirements and translate them into meaningful solutions. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to work effectively with business users, data analysts, and other stakeholders. Educational Qualifications Bachelor's degree in computer science, software engineering, mathematics, or a related field is often the minimum requirement Knowledge of Data science will be added advantage .

Design implement Python AI/ML/Gen AI models algorithms &app Coordinate data scientists to translate their ideas into working solutions Apply ML techniques to explore & analyze data patterns insights Supp deployment of models to production env Required Candidate profile Strong proficiency in Python including libraries Exp with machine learning algorithms & tech Understanding of AI concepts neural networks Exp with one of the cloud platforms cloud-based machine Perks and benefits 10% additional variable on top of fixed +mediclaim

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal) Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor’s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Description Responsibilities: Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation. Validate and benchmark model performance using real-world and simulated datasets. Work with the product team to ensure integration of developed models. Stay updated with the latest research in battery modeling and machine learning techniques. Research and collaborate with the team to incorporate electrochemical knowledge into ML models. Qualifications Preferred Skills & Tools: Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow) Strong grasp of time-series modeling, signal processing,

Akridata (https://akridata.ai) is a US-based, Series A-funded startup revolutionizing the quality inspection of manufacturing and infrastructure using cutting-edge Visual AI technologies. The team in India owns all product development and ML activities, providing exciting opportunities to be at the forefront of high-impact work. Responsibilities Ideate and experiment with approaches to address customers AI solution requirements using the platform and algorithmic capabilities. Work closely with customer specific AI solutioning requirements and connect it with the algorithmic capabilities available in the product charting out a plan of action. Participate in discussions with product and backend development teams to harden product requirements and interface decisions. What we are looking for 3+ years of computer vision experience with a proven track record of building production-grade deployments using traditional CV and deep learning techniques. 1+ years of experience with deep learning techniques for image/video data with sound understanding of the concepts, toolsets, and state-of-the-art practices. Strong Programming experience with Python for ML, with knowledge of software development practices towards contributing to a production-quality code base. Hands-on experience with PyTorch, TensorFlow, or equivalent deep learning frameworks. Bachelors in Computer Science, Data Science, Statistics, or Mathematics Good to have Masters degree or Phd in Computer Science, Data Science, Statistics, or Mathematics. Experience publishing academic papers and/or implementing prototypes based on ongoing research ideas. Experience with performance improvement of ML models.

Flipkart is looking for Data Scientist - Operations Research to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques 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 modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Job Job TitleGraduate Engineer Trainee Company NameTitan Job TypeRP Job CategoryCentral Technology Services DepartmentCentral Technology Services LocationHosur, Tamil Nadu, India : Titan, a leading company in the Central Technology Services industry, is seeking a highly motivated and talented Graduate Engineer Trainee to join our team in Hosur, Tamil Nadu, India. As a Graduate Engineer Trainee, you will have the opportunity to work with cutting-edge technology and gain valuable experience in the field of Central Technology Services. Key Responsibilities: - Participate in training programs to learn about the company's products, services, and processes - Work closely with senior engineers to assist in the design, development, and implementation of new technology solutions - Conduct research and analysis to identify areas for improvement and make recommendations for process enhancements - Collaborate with cross-functional teams to support project initiatives and ensure timely delivery of projects - Assist in troubleshooting and resolving technical issues as needed - Stay updated on industry trends and advancements in technology to contribute innovative ideas to the team Qualifications: - Bachelor's degree in Engineering or a related field - Strong academic record with a minimum GPA of 3.0 - Excellent problem-solving and analytical skills - Proficiency in programming languages such as Java, C++, or Python - Familiarity with database management and SQL - Ability to work independently and in a team environment - Excellent communication and interpersonal skills - Willingness to learn and adapt to new technologies and processes Additional Parameters: - Previous internship or work experience in the Central Technology Services industry is a plus - Knowledge of Agile methodology is preferred - Willingness to relocate for future career opportunities within the company At Titan, we value diversity and equal opportunity in the workplace. We are committed to creating an inclusive environment for all employees and welcome applicants of all backgrounds to apply. Join our team and be a part of our mission to revolutionize the Central Technology Services industry. Work Experience Good knowledge in Linear Algebra, Vectors, Calculus, Statistics, Fourier Analysis Good knowledge in Signal processing Techniques like Wavelets, Shearlets, Curvelets, Bandlets etc., Good knowledge in Applied Mathematics like Gradient Descent, Convex Optimization, Lagrange, Quadratic Programming, Partial Differential Equations, and Summations Good Knowledge in machine learning algorithms, neural networks, natural language processing, and related AI technologies. Proficiency in programming languages such as C++, Python, R, Java, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge in data preprocessing, feature engineering, and model development and evaluation. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and derive actionable insights. Good Communication & Inter Personnel Skills Major Deliverables / Tasks : 1. Discovering New Possibilities - The role should deliver the below towards new Possibilities : - New AI/ML techniques, Tools / Models / algorithms for Industry 4.0 and Smart wearables - Use-cases based on emerging trends - Data Models with Reports for efficient Algorithms - Prototype Testing and Validation 2. Algorithm/ Code Development - The role should perform the below towards meeting the above objectives: - Conduct analysis to identify patterns, trends, and insights from large and complex datasets. - Collaborate with data engineers and data scientists to ensure data quality, integrity, and accessibility for AI and ML initiatives. - Monitor and evaluate AI and ML performance metrics, providing recommendations for improvements and optimization. - Develop Standard Plug-ins and Models for easy integration 3 . Reports and Documentation The role is expected to meticulously Compile all the support Details and Documents hailing from the core activities mentioned above and deliver the Blueprint of the Development Process

0px> Who are we? In one sentence We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and GenAI initiatives at Amdocs Services CTO.In this role, you ll be part of a growing data science team working on advanced AI/GenAI technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation services solutions. What will your job look like? Research and develop innovative AI-powered capabilities.Rapidly prototype and iterate based on data insights and user feedback.Design and build data-driven solutions with a strong emphasis on practical impact and performance.Collaborate closely with Product, analysts, and engineers to deliver production-grade machine learning models.Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges. All you need is... At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline. Strong hands-on experience in Python with the focus being on statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings. Proven ability to build and deliver data solutions in a short time frame. Experience with Azure, docker, and development methodologies - an advantage Proven experiences in productions and DevOPS practices Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content

Company Profile: Job Title: AI Lead Position: Senior Software Engineer Experience: 4- 6 Years Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0525-0909 Employment Type: Full Time Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 4 -6 years of experience in AI/ML, with a strong portfolio of deployed solutions. Proven experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Hands-on expertise in LLMs (e.g., GPT, LLaMA, Claude), RAG architectures, and LangChain. Strong programming skills in Python and familiarity with cloud platforms (Azure, AWS, or GCP). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models. Solid understanding of NLP, transformers, and prompt engineering Skills: Artificial Intelligence Client Management Telecommunications

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Looking for Generative AI, NLP, and Deep Learning.Proficient in PyTorch, Python & Prompt Engineering.Hands-on exp. with LLM fine-tuning & GPU acceleration.Previous exp. deploying AI models on the cloud. Candidates from IITs/NITs are highly preferred

Role & responsibilities : Research emerging AI trends and evaluate their potential applications in banking. -Collaborate with startups and external partners to explore and integrate innovative AI solutions. -Work closely with senior management to align AI initiatives with the banks strategic goals. -Lead the design, development, and implementation of AI solutions across various banking functions. -Identify opportunities for process optimization, risk management, and enhanced customer experience using AI technologies Preferred candidate profile Bachelor's or Masters degree in Artificial Intelligence, Computer Science, or a related field. - Strong knowledge of AI technologies, including LLMs, machine learning, natural language processing, and automation. - Ability to translate AI research into real-world banking solutions. - Excellent communication skills for engaging with startups and senior management. - Strong problem-solving and analytical capabilities. - Hard working - Willing, proactive, and motivated

This is an Internal document. About Kotak Mahindra GroupEstablished in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group’s flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank – Kotak Mahindra Bank Limited. The consolidated balance sheet of Kotak Mahindra Group is over 1 lakh crore and the consolidated net worth of the Group stands at 13,943 crore (approx. US$2.6 billion) as on September 30, 2012. The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, the international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius and Singapore. For information, please visit the company’s website at http://www.kotak.com What we offer Our mission is simple – Building trust. Our customers' trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That’s why we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best analytical and technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. – Kotak Data LabsKotak Data Labs plays a pivotal role in driving innovation and business growth at Kotak. The team collaborates with stakeholders and data providers, leveraging advanced analytics and Data Science / Machine Learning techniques to drive strategic decision-making across the bank. The core work charter includes supporting different products across the bank by developing solutions across the customer journey to drive Acquisition, Engagement and Retention using cutting-edge Data Science capabilities and Data platforms. The Data Scientist and Data Analyst role within the team involves deploying projects from conception to actionable insights, enabling data-driven marketing strategies, developing risk scorecards, building behavioral models and impact in the banking business. This role focuses on leveraging Data science techniques for model development, feature engineering, driving automation, process improvement, and operational efficiency while demonstrating innovative thinking, passion for data science and fostering cross-team collaboration. Establishing strong working relationship with stakeholders in the bank is also a key aspect of this role. This is an Internal document. Roles and ResponsibilitiesDeliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, explaining model results & insights and deployment Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modelling to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytical capabilities, platforms, and pipelines. Present insights and recommendations to audiences of varying levels of technical sophistication Automate processes to ensure scalability of solutions by collaborating with crossfunctional teams Perform the data extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights Skill requirementsMaster’s or Bachelor’s Degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, etc.) Coding skills in Python, SQL Deep understanding and hands-on experience with ML/DL Algorithms Experience of working with large data sets and developing scalable solutions Knowledge of Marketing, Risk, Business, Banking and Financial services, E-Commerce is preferred Ability to work independently and deal with ambiguity Strong analytical and problem-solving skills Excellent presentation and strong written & verbal communication skills Knowledge of Banking products, Marketing strategies and Generative AI is a plus Highly motivated and collaborative team player with strong interpersonal skills

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accenture's global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualification Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

Job Description: AI Automation Developer: Design, develop, and deploy generative AI models Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms for deploying AI applications. Preferred candidates would have experience with DU (Document Understanding) OR DA (Document Automation).

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 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. 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.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 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