5485 Deep Learning Jobs - Page 31

Role & responsibilities Job Title: Senior Data Scientist Location: Bangalore FTE: Encora Innovative labs. Job Summary We are looking for an experienced Senior Data Scientist to lead and contribute to a range of data-driven project deliverables. This role requires a hands-on professional who can design and implement advanced analytical models, collaborate across functions, mentor junior team members, and contribute to shaping the data strategy across engagements. Key Responsibilities Lead end-to-end data science projects from data exploration to model deployment. Analyze large and complex datasets to derive actionable insights. Develop and implement advanced statistical models and machine learning algorithms. Collaborate with cross-functional teams (engineering, product, business) to understand requirements and deliver solutions. Mentor and guide junior data scientists and analysts. Contribute to defining the overall data science and analytics strategy. Promote innovation and best practices in data usage, modeling, and experimentation. Required Skills & Qualifications Experience Minimum 5+ years of hands-on experience in data science, with a strong track record of delivering successful data-driven projects. Programming Proficient in Python or R . Experience with key libraries/frameworks: Pandas , NumPy , Scikit-learn , TensorFlow , Keras , PyTorch . Database & Data Handling Strong SQL skills for data querying and manipulation. Experience with NoSQL databases such as MongoDB is a plus. Machine Learning & Statistics Solid expertise in ML techniques including: Regression, Classification, Clustering Decision Trees, Neural Networks Statistical Modelling and Evaluation Metrics Big Data Technologies Experience working with big data tools like: Apache Spark , Hadoop , or similar. Cloud Platforms Practical experience with at least one cloud platform: AWS , Azure , or Google Cloud Platform (GCP) . Capable of deploying models and processing large-scale datasets in the cloud. Version Control Proficient with Git/GitHub for version control and collaborative development. Education BTech/MTech in Computer Science , Data Science , or a related field. Relevant Data Science certifications are a strong advantage. Regards Bhaskar Dasegowda +91 9880540033 Bangalore, KA India bhaskar.dasegowda@encora.com Bhaskar.encora@gmail.com Preferred candidate profile

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Agentic AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Agentic AI Platform: Build and maintain autonomous software agents using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process automation. Develop core infrastructure and reusable components to support the deployment of agent-based AI systems. Work on agent orchestration, prompt engineering, and LLM-powered integrations. Implement scalable solutions integrated with CRM systems and enterprise data platforms. Contribute to the design of modular, extensible, enterprise-grade architectures. Fine-tune and evaluate AI agents for speed, accuracy, performance and maintainability across business units. Contribute to CI/CD automation and maintain operational stability of agent services.Generative AI & Model Optimization: Fine-tune LLMs/SLMs with proprietary NBFC data. Perform distillation, quantization of LLMs for edge deployment. Evaluate and run LLM/SLM models on local/edge server machines.Self-Learning Frameworks: Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls). Implement lightweight local models to enable real-time learning on the edge. Key Decisions / Dimensions. Platform Design & Delivery, Model Selection, Customization (if any) & Testing: Choosing the right model for various agentic and autonomous actions. Selecting appropriate model so that Agents can complete the autonomous tasks in efficient manner. Defining reusable components in the platform. Delivery using configuration approach should be first preference, in case that does not work should go for customization. Defining configuration parameters and incorporate them as platform design. Testing and end to end testing of the project deliverable. Load balancing between different models. Always have switch on/switch off feature. Must have all services backed up on primary/HA & DR servers.Prompt Engineering: Prompt Design & Development: Crafting prompts that guide AI systems to produce desired outputs for various applications, such as text generation, translation, question answering, and creative writing. Testing and Evaluation: Analysing the effectiveness of prompts and refining them based on results to ensure accurate and relevant responses. Bias Mitigation: Designing prompts that minimize bias and ensure fair and equitable outcomes from AI systems. Major Challenges Support from other platform owners Agents must learn from failed interactions Building a Agents that doesn't just answer but negotiates with human-like reasoning. Running large AI models in low-latency, low-bandwidth environments without cloud dependency. Getting the end-to-end domain knowledge Managing data and information security of the agentic application. Required Qualifications and Experience Educational Qualifications Educational Background: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Experience: 47 years of experience in AI/ML, with exposure to Python, Node.JS, JavaScript, React, Java. Good understanding of Google GCP/Microsoft Foundry + MS CoPilot Studio/ Agentforce or Equivalent. Strong programming s in languages such as Python, Node.JS, JavaScript, React, Java. Familiarity with LangChain, Semantic Kernel, CrewAI, or LangGraph. Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows Understanding of Microsoft Copilot Studio, BigQuery, Power Apps, and Power BI Familiarity with the Agent Development Kit (ADK) and MCP (Multi-agent Communication Protocol) Strong understanding of prompt engineering, tool calling, and agent orchestration.

Job Title: AI Trainer. Job Type : Full Time / Freelancing. Travel Requirement: Comfortable with travel to client locations for training delivery (company will cover travel and accommodation expenses, if required) . Certification: Preferred (AI/ML/Data Science). Job Description: We are seeking an experienced AI Trainer to deliver impactful training sessions in Artificial Intelligence, Machine Learning, and Data Science. The ideal candidate will combine strong technical expertise with a passion for teaching and mentoring, helping professionals build future-ready AI skills. Key Responsibilities: Deliver hands-on training sessions in AI, ML, and Data Science. Develop and maintain engaging training materials, labs, and assessments. Support learners with mentoring and query resolution post-training. Customize training programs to meet business and client requirements. Gather learner feedback and recommend improvements to training delivery. Qualifications: Education: Bachelors/Master’s degree in Computer Science, Data Science, or a related field. Experience: 4–11 years of professional experience in AI/ML/Data Science, with prior training or mentoring exposure. Skills: Proficiency in Python and ML/DL frameworks (TensorFlow, PyTorch, scikit-learn). Strong knowledge of AI/ML algorithms, data modeling, and deployment. Excellent communication and presentation skills. Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workflows. Preferred: Industry certifications in AI/ML/Data Science. Experience with MLOps, model deployment, and business-focused AI use cases. Exposure to Agile methodologies and cloud-native AI tools. About the Company : We are a global ed-tech leader with a presence in the US and India, focused on delivering cutting-edge learning programs in partnership with top academic institutions and global corporations. Our AI-powered digital learning platform integrates rigorous academics with industry expertise to drive impactful learning and exceptional learner engagement. Learn more about us at: www.talentsprint.com

Job Requirements (Purpose: why this role exists?) We are seeking a highly motivated and skilled Data Scientist to join our team and contribute to the development and deployment of ML/AI/GenAI pipelines within the AWS cloud environment. This role will involve both data science and Python development responsibilities. The ideal candidate will possess a strong foundation in data science principles and GenAI, experience with AWS, and proficiency in Python programming. Essential Responsibilities / Expectations Pipeline Development and Execution: Develop, deploy, and maintain robust ML/AI/GenAI pipelines within the AWS ecosystem. This includes data preprocessing, model training, evaluation, and deployment. Cloud Computing: Utilize AWS services (e.g., SageMaker, Lambda, S3, EC2) to build and optimize data pipelines and model deployments. Python Development: Write clean, efficient, and well-documented Python code for data manipulation, model development, and pipeline automation. Data Analysis and Exploration: Conduct exploratory data analysis to understand data characteristics, identify patterns, and inform model selection. Model Training and Evaluation: Train and evaluate various machine learning and deep learning models, selecting the best performing models based on business requirements. Collaboration: Work collaboratively with Technology Team and other Data Scientists to integrate solutions into existing workflows and systems. Continuous Learning: Stay up-to-date with the latest advancements in AI/ML/GenAI and cloud computing technologies. Documentation: Maintain clear and comprehensive documentation of pipelines, models, and code. Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment Educational Qualification Master's degree in Computer Science, Data Science, Statistics, or related field Experience Required (Min – Max year) 5-6 years of experience in data science and 2-3 years of experience in GenAI technology. Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling. Proficiency in programming languages such as Python Familiarity in developing and deploying E2E AI solutions in cloud platforms (AWS) Hands-on Experience with building and deploying ChatBot AI assistants using the RAG framework. Good working knowledge of AI Agents and Agentic AI framework Should be proficient in using AI enabled coding tools e.g. github copilot, etc. Familiarity with version control systems (e.g., Git, Gitlab). A strong desire to learn and contribute to a fast-paced, innovative environment. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in an Agile development environment Desired Skills Experience with GenAI, Data Science, Python, AWS, JIRA, Agile Passion for the environment Self learner

Aziro is hiring AI Engineers!!! Exp - 2+ yrs Location - Bangalore L1 Virtual or F2F interview ( L2/L3/L4 F2F ( anyone)) Should have hand- on experience in Python Development or Programming with AI Skills. Aziro is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. Were looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Objectives of this role Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help lead to solutions Lead cross-functional teams in identifying and prioritizing key areas of a partners business where AI solutions can drive significant business benefit Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Roles and Responsibilities Collaborate with cross-functional teams to integrate AI models into existing systems. Design, develop, and deploy AI solutions using AIMl, AI Solutions, and AI Techniques. Develop and maintain complex AI algorithms for data analysis and prediction. Ensure high-quality delivery of projects by adhering to project timelines and requirements. Provide technical guidance on AI best practices to junior team members. Desired Candidate Profile Good understanding of AI algorithms, techniques, and frameworks (e.g., deep learning). Proficiency in programming languages like Python or Java or C or C++ or .net or C# is preferred; Knowledge of SQL is an added advantage.

1. C l assroom Setup & Operational Coordination Arrive 30 minutes before class to ensure the classroom is fully set up, including smart TV, camera, and audio checks. Ensure timely recording, uploading, and sharing of all pre- and post-class materials. Oversee smooth daily operations, acting as the behind-the-scenes enabler of an excellent classroom experience. 2. Student Engagement & Experience Lead the 15-minute break sessions to create a relaxed and engaging environment for students. Take daily attendance and foster meaningful conversations to ensure high student engagement. Act as the primary point of contact for student support whether for queries, clarifications, or motivation. 3. Com munication & Coordination Share concise daily updates via WhatsApp and email (content will be provided). Collaborate with faculty for scheduling, content confirmation, and coordination of prep calls. 4. Administrative Responsibilities Manage, rename, organize, and share classroom recordings in an accessible format. Circulate weekly book summaries every Sunday to support continuous learning. Attend mid-week Zoom check-ins to monitor student progress and engagement. 5. Social Media & Community Vibes Capture behind-the-scenes content for Instagram Stories to showcase the class environment. Share moments that reflect the balance of deep learning and vibrant community spirit. What You ll Gain Be at the heart of one of Punes most dynamic weekend learning communities. Gain exposure to immersive trading education in action. Network with industry experts, educators, and high-performing students. Contribute to BTS s mission of transforming trading education in India.

We are seeking a proactive and detail-oriented AI/ML Engineer to join our IT Services AI/ML team. In this role, you will engage directly with clients to understand their IT needs, gather requirements.

This job might be for you if You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You dont know the answer but will dig until you find it. You communicate clearly. You write well. You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference. You can impress our customers with your enthusiasm to solve their issues (and solve them!) Job Description As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 3 to 5 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

Proficiency in Python (libraries like pandas, NumPy, scikit-learn) Strong SQL skills for querying and manipulating large relational datasets Hands-on experience with cloud platforms (AWS/Azure/GCP),Data modeling . Required Candidate profile Exposure to Generative AI frameworks or large language models (e.g., OpenAI GPT, Hugging Face Transformers) Exp in cloud-native ML tools (SageMaker, Azure ML, Vertex AI) Exp in CI/CD pipelines

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Python for Data Science . Experience: 8-10 Years .

Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle. Duties and Responsibilities Deliveries with respect to Conversational Text AI Platform: Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks. Collaborate with product owners and domain experts to build reusable components for business process. Develop core infrastructure and reusable components to support the deployment of conversational AI systems. Work on orchestration, prompt engineering, and LLM-powered integrations. Implement scalable solutions integrated with respective echo systems and enterprise data platforms. Contribute to the design of modular, extensible, enterprise-grade architectures. Fine-tune & optimization for speed, accuracy, performance and maintainability across business units. Contribute to CI/CD automation and maintain operational stability of application services.Generative AI & Model Optimization: Fine-tune LLMs/SLMs with proprietary NBFC data. Perform distillation, quantization of LLMs for edge deployment. Evaluate and run LLM/SLM models on local/edge server machines.Self-Learning Frameworks: Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls). Implement lightweight local models to enable real-time learning on the edge. Key Decisions / Dimensions Platform Design & Delivery, Model Selection, Customization (if any) & Testing: Choosing the right model for various task and actions. Selecting appropriate model so that tasks can complete in efficient manner. Defining reusable components in the platform. Delivery using configuration approach should be first preference, in case that does not work should go for customization. Defining configuration parameters and incorporate them as platform design. Testing and end to end testing of the project deliverable. Load balancing between different models. Always have switch on/switch off feature. Must have all services backed up on primary/HA & DR servers.Prompt Engineering: Prompt Design & Development: Crafting prompts that guide AI systems to produce desired outputs for various applications, such as text generation, translation, question answering, and creative writing. Testing and Evaluation: Analysing the effectiveness of prompts and refining them based on results to ensure accurate and relevant responses. Bias Mitigation: Designing prompts that minimize bias and ensure fair and equitable outcomes from AI systems. Major Challenges Support from other platform owners Building a Conversational Text AI BOT that doesn't just answer but negotiates with human-like reasoning. Running large AI models in low-latency, low-bandwidth environments without cloud dependency. Getting the end-to-end domain knowledge Managing data and information security of the application. Required Qualifications and Experience Educational Qualifications Educational Background: Bachelors or Masters degree in computer science, Engineering, or a related field. Experience: 47 years of experience in AI/ML, with exposure to Python, Node.JS, JavaScript, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, CI/CD. Strong programming s in languages such as Python, Node.JS, JavaScript, HTML/CSS. Familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services, Azure COSMOS, DevOps, CI/CD, Lang-Chain or Lang-Graph. Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows Strong understanding of prompt engineering, tool calling, and agent orchestration.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Mandatory Skills: Data Analysis . Experience: 3-5 Years .

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Data Analysis .Experience: 5-8 Years .

Job Description: Core AI/ML Engineer Location: [Visakhapatnam / Remote] Employment Type: Full-time About the Role We are seeking a talented AI/ML Engineer to join our team. In this role, you will design, build, and deploy machine learning models and AI systems to solve real-world problems. You will work closely with data scientists, product managers, and engineers to transform raw data into intelligent applications. Key Responsibilities Model Development Research, design, and implement machine learning and deep learning algorithms. Train, fine-tune, and evaluate models for classification, regression, NLP, CV, or recommendation tasks. Optimize model performance for accuracy, latency, and scalability. Data Engineering Collect, preprocess, and analyze large structured/unstructured datasets. Build pipelines for data cleaning, feature engineering, and augmentation. Ensure data quality, reproducibility, and versioning. Deployment & Infrastructure Package and deploy models into production environments (APIs, microservices, cloud). Monitor models in production for drift, reliability, and fairness. Use MLOps best practices (CI/CD, experiment tracking, containerization). Collaboration & Research Work with cross-functional teams to identify AI/ML opportunities. Stay up to date with the latest research and tools in AI/ML. Document experiments, share insights, and publish internal reports. Qualifications Must-have: Bachelors/Master’s in Computer Science, Data Science, AI/ML, or related field. 4+ years of hands-on experience in machine learning or deep learning. Strong programming skills in Python; familiarity with libraries like PyTorch, TensorFlow, scikit-learn. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of SQL and data handling at scale. Familiarity with cloud platforms (AWS, GCP, Azure). Nice-to-have: Exposure to NLP, Computer Vision, or Generative AI. Experience with distributed training frameworks (Horovod, DeepSpeed, FSDP). Knowledge of MLOps tools (MLflow, Kubeflow, Airflow). Contributions to open-source ML projects. Soft Skills Strong problem-solving and critical-thinking abilities. Clear communication skills and ability to work in cross-functional teams. Passion for learning and staying on top of AI/ML advancements. What We Offer Competitive compensation + benefits. Opportunity to work on impactful AI/ML projects across domains. Access to modern tools and cloud infrastructure. Collaborative, research-driven environment.

Senior Engineer-NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA) . What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement About 4-6 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer : The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

Lead Engineer- NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement. About 8-12 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. 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saara is looking for AI developer to join our dynamic team and embark on a rewarding career journey Job Summary: The AI Developer will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) models and algorithms to solve complex business problems They will work closely with cross-functional teams to understand business requirements, identify opportunities for AI and ML solutions, and develop prototypes and production-ready models Key Responsibilities: Design, develop, and implement AI and ML models and algorithms to solve complex business problems Develop and implement prototypes and production-ready models using programming languages such as Python, R, or Java Perform data analysis, data preparation, and feature engineering to create datasets that are appropriate for AI and ML models Perform model selection, optimization, and evaluation to ensure that models meet business requirements and are accurate and reliable Develop and implement data pipelines, data storage solutions, and data visualization tools to support AI and ML models Deploy models to production environments and monitor their performance and accuracy over time Experience in AI and ML development Strong programming skills in languages such as Python, R, or Java Familiarity with AI and ML frameworks such as TensorFlow, PyTorch, or Keras Experience with data analysis, data preparation, and feature engineering Knowledge of data storage solutions and data visualization tools Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Excellent problem-solving, critical thinking, and communication skills

You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance. You will mine and extract relevant information from Swiggys massive historical data to help ideate and identify solutions to business and CX problems. You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale. You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggys problem statements. You will publish and talk about your work in internal and external forums to both technical and layman audiences. Opportunity to work on challenging and impactful projects in the logistics domain Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems Develop and deploy machine learning and deep learning models Take ownership of projects from inception to delivery, ensuring high-quality and impactful results. What qualities are we looking for Bachelors or Masters degree in a quantitative field with 0-3 years of industry/research lab experience Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems Preferred: Experience working with big data and shipping ML/DL models to production Required: Strong proficiency in Python, SQL, Spark, Tensorflow Required: Strong spoken and written communication skills Big plus: Experience in the space of ecommerce and logistics Experience in Generative AI Proven track record of developing and shipping ML and DL data products Experience in Agentic AI , LLMS and NLP Proficiency in Pytho

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains. Responsibilities: Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. Bachelors/Master s/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. <

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. What will you do Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon s underlying Neural Edge Engine to invent optimization techniques Analyze deep learning workloads and provide guidance to map them to Amazon s Neural Edge Engine Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics Train custom Gen AI models that beat SOTA and paves path for developing production models Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices Publish in open source and present on Amazons behalf at key ML conferences NeurIPS, ICLR, MLSys. 3+ years of building machine learning models for business application experience PhD, or Masters degree and 4+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Prior experience in productionizing ML models and managing their full lifecycle from development to deployment Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion Models for Language Generation, etc.

At least 4 years focused on AI & ML solutions. AI Engagements Strategic Consulting & Road mapping LLM/RAG Solution Design & Implementation Agentic Systems Hands-on Prototyping Thought Leadership

Job Requirements Design, develop, and deploy intelligent AI agents using LLMs (e.g., GPT-4, Claude, Mistral, LLaMA). Integrate AI agents with external tools, APIs, databases, and user interfaces (tool use / function calling). Build autonomous workflows for document processing, knowledge retrieval (RAG), decision making, and user interaction. Develop model/network architecture for computer vision problems. Contribute to all phases of the software development lifecycle. Work with other team members to develop/maintain products. Take ownership of new feature development, bug fixes, and enhancement activities. Mentor and guide junior engineers while promoting knowledge sharing within the team. Communicate effectively with internal and external stakeholders. Work Experience Required Skills (Technical Competency): Strong understanding of ML/DL concepts: CNN, LSTM, FCN, classification, regression and clustering Ability to develop robust DL/ML models in Python, MATLAB etc. Background in cloud infrastructure (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience with standard DL tools and libraries like TensorFlow, PyTorch, etc. Hands-on experience with LLMs and AI APIs (OpenAI, Anthropic, Meta etc). Deep understanding of prompt engineering, tool use/function calling, agents, and autonomous reasoning. Proficient in Python and modern AI frameworks (LangChain, LlamaIndex etc). Familiarity with vector databases (e.g., FAISS, Pinecone), and embedding models. Analytical, problem solving and debugging skills. Ability to explore/evaluate alternative solutions and/or workarounds. Good verbal and oral communication skills in English Desired Skills: C++/C#/.Net programming skills are desirable. Experience in building process and tools. Experience of version control tools. Experience in scripting. Experience in using bug tracking tools.

We are seeking a highly qualified Assistant / Associate Professor in Computer Science & Engineering (CSE) to join our esteemed faculty. The candidate will be responsible for teaching undergraduate and postgraduate courses, conducting research, mentoring students, and contributing to academic and institutional development. Key Responsibilities: Deliver lectures, labs, and seminars in core and specialized areas of CSE . Guide research scholars and students in projects, dissertations, and publications. Develop and update curriculum to align with industry trends and emerging technologies. Publish research in reputed journals and participate in academic conferences. Secure research grants and collaborate on interdisciplinary projects. Engage in student mentoring, counseling, and extracurricular activities. Participate in faculty development programs and institutional initiatives. Qualifications & Experience: Ph.D. in Computer Science & Engineering or a related field from a recognized university. Minimum 8-10 years of teaching/research/industry experience (as per AICTE/UGC norms). Strong research background with publications in SCI/Scopus indexed journals. Expertise in areas like AI, Machine Learning, Cybersecurity, IoT, Data Science, Cloud Computing, etc. Inviting applications at manager.hr@cgcuniversity.in or Whatsapp at 8360946299

About The Role 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 : Natural Language Processing (NLP), Mulesoft ESB Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs Summary :We're looking for a visionary AI Research and Innovation Practitioner to develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. The position is open across multiple areas of AI and Gen including Speech and Audio, Computer Vision, Natural Language Processing and Multimodal AI. Roles & Responsibilities:- Building novel solutions to the challenging problem faced by industry- Collaboration with Responsible AI, Delivery leads, and Academia- Real world applications:digital assistants, healthcare agents, enterprise automation- Leading research and publishing in top tier conferences- Mentoring and building the next wave of AI talent. Professional & Technical Skills: - We also have emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI. Experience in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing- Research and making tangible impact to lead innovation at scale. Additional Information:- PhD in CS/EE/Math/AI/Statistics or similar disciplines from a top tier institute (IIT/IISc/ISI/IIIT).- The locations where candidate can be posted are Bangalore, Hyderabad, Mumbai, Pune, Chennai, Gurgaon, and NCR.- A 15 years full time education is required. Qualification Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs

About The Role 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 : Responsible AI 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 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 may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to delivering impactful results in a dynamic environment. 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 and foster a culture of continuous learning.- Evaluate emerging technologies and methodologies to recommend improvements in existing processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and compliance frameworks.- Experience with cloud platforms and services related to AI deployment.- Familiarity with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Ability to design and implement scalable AI solutions that meet business needs. Additional Information:- The candidate should have minimum 15 years of experience in Responsible AI.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education