165 Ai Algorithms Jobs - Page 7

Ready to build the future with AI? At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of whats possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. • Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills • Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Ready to build the future with AI? At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. I Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

AI Marketing Engineer Location: On-site (Gurgaon) Experience: 35 years | Type: Full-Time About the Role We’re looking for someone who’s equal parts engineer, marketer, and creative director-someone who knows how to harness AI tools to make ideas happen fast. You’ll work directly with our founder to turn concepts into websites, campaigns, content, and experiments that feel human, on-brand, and high-converting. Think: the speed of AI, the taste of a good designer, and the storytelling vibe of TheBoringMarketer. What You’ll Do - Use Claude Code, ChatGPT, and other AI tools (Midjourney, Vercel, automation platforms) to create marketing assets, websites, and campaigns. - Design and write content that feels human, engaging, and on-brand. - Run SEO and local marketing campaigns that actually move the needle. - Build landing pages, visuals, and ads that convert. - Rapidly prototype, test, and iterate creative ideas. - Maintain brand consistency across visuals, copy, and tone. What You Bring - 3–5 years’ experience in marketing + tech. - Proven hands-on skills with AI tools (Claude, Midjourney, ChatGPT, etc.). - Good eye for design, copy, and vibe. - Basic web development or landing page building skills. - Comfort with SEO, content creation, and local marketing. - A love for creative, story-led marketing and fast execution. Why You’ll Love This Role - You’ll be part of the AI-first marketing frontier-you set the vision, AI helps you execute. - Work closely with the founder in a creative, collaborative environment. - No bureaucracy- just fast ideas, real output, and measurable impact. - The freedom to experiment and break boring marketing patterns. How to Apply Send us: - Your resume + portfolio/work samples at hello@drmorepenhome.com - An AI-generated example of your work (landing page, ad copy, website hero text, or social post).

Designing scalable and high-performance generative AI systems, including end-to-end solutions from data ingestion to model deployment. Developing AI strategies aligned with organizational goals, new tools and techniques in AI capabilities. Required Candidate profile Leading the development of generative models, potentially including transformers and large language models (LLMs), and staying abreast of the latest advancements in the field.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 4+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

The Position We are looking for a Data Scientist to join a growing Research & Data Science team and collaborate with other Developers, Data Scientists and Engineers to research, prototype and trial innovative solutions for real-time monitoring, verification and optimisation of live equipment in the built environment, including predictive maintenance and Machine Learning driven optimization. Reporting to the Team Lead for Research & Data Science, the successful candidate will get the opportunity to work directly with customers and stakeholders across a range of industries globally, see the direct results of your work through demonstrable energy savings and contribute to addressing global warming. Deliver robust proven solutions and work closely with and around our software development team to integrate them in our range of products and contribute from beginning to end of a project. Take advantage of our key position in the industry to build a more sustainable future through predictive technology and leveraging the wealth of under-utilised data from embedded sensors scattered through building systems. Tasks and responsibilities include: Data collection, pre-processing, and management Construct data ETL pipeline from various data sources Identify and visualise relevant trends across datasets Literature review of state-of-the-art research in Data Science and relevant Engineering applications Develop and evaluate predictive models using state-of-the-art Data Science techniques, and relevant Physics and Engineering principles Preliminary prototyping using Python or similar high-level programming language or numerically oriented tools Evaluate solutions for integrating models into a commercial product Collaborate closely with Software Development teams to ensure all functions and features of proposed research solutions are implemented and working as required or expected including participating in validation testing of research implemented in a commercial product. Preparation of R&D findings report, Functional Descriptions and Project Documentation Development and maintenance of CI/CD and MLOps pipelines including testing, staging and production environments Effectively use and contribute to the use of project planning, issue tracking, and source code management tools Participate in software design, development, documentation and testing of Conserve Its range of products, as required Meet with team members, other teams and managers as required Updates job-related knowledge by participating in education opportunities; reading professional publications; maintaining personal networks; participating in professional organisations Communicate with external parties for data collection and site trials Contribute to research journal papers and conference papers as required Participate in project and development planning meetings Use and contribute to the use of project planning, issue tracking and software documentation tools Opportunity for growth: Formulate and solve Mathematical Optimisation problems for Model Predictive Control, Machine Learning model training, self-tuning algorithms, and other applications as required Carry out IPMVP-based M&V study to assess energy savings of deployed solutions on site Essential skills and experience We are looking for someone with a minimum of 3 years, demonstrable, hands-on experience in the following technologies and skills. Candidates must be able to show code they have written in the last 12 months that use the following. Any candidate who cannot demonstrate these will not be considered. Compulsory Technologies & skills with a minimum of 3 years’ experience Solid grounding in Object Oriented Design and Development Demonstrable programming experience and/or skills in Python (being able to show code you have worked on will put you at the top of the list) Ability to translate a design or mathematical model into code Understanding of developing software models to reflect real world entities Development of multi-threaded systems and general understanding of the use of application frameworks Ability to perform data exploratory analysis for proof of concept and to communicate results to a diverse audience Ability to prototype robust, scalable and maintainable solutions in Python Advanced NumPy/SciPy, Scikit-Learn, TensorFlow (or PyTorch) Data processing and cleaning with Pandas Data visualisation with Matplotlib, Plotly & Seaborne Significant programming experience and/or skills in Python, Java or C++ to implement reliable production-grade solutions Strong skills in developing software models to reflect real world entities and equipment Deep knowledge of Machine Learning and AI algorithms Practical experience developing & deploying a machine learning algorithm in a real-world scenario in production Practical experience developing and deploying MLOps pipelines or CI/CD pipelines Experience in writing clean and maintainable software (e.g. in Python, Java or C++) Atlassian suite of tools (Jira, Confluence, BitBucket) Strong foundations in Mathematics Desirable Skills: Ability to design and tune deep neural network architectures (ANN, RNN, CNN) Knowledge of Mathematical Optimization theory and ability to understand tailored solver Other mandatory requirements: Eligible to travel to Australia, for short stays of up to a few weeks at a time Postgraduate Degree in a quantitative discipline (Data Science, Mathematics, Physics, Computer Science, Bioinformatics)

Designing, developing, and training machine learning models using various algorithms and techniques. Evaluating the performance of machine learning models using appropriate metrics and techniques. Required Candidate profile Working closely with other engineers, data scientists, and stakeholders to ensure the success of AI/ML projects.

Role & responsibilities We are looking for a skilled and proactive AI Developer / AI Application Engineer based in India to support our international AI efforts. In this role, you will collaborate closely with our core AI team in Germany, taking on a mix of software development and hands-on data engineering responsibilities at our technical lab in India. You'll help maintain a high-quality data pipeline and contribute to software projects involving data management (C#), real-time systems (C/C++ with TensorRT), and AI prototyping (Python). In the future, you may also contribute to the development of a knowledge-based chatbot deployed in our cloud or local infrastructure. Skillset and Knowledge requirement: Software Development (50%) Support internal tooling and data workflows in C# for our Data Management Software. Assist with development of C/C++ code for real-time production systems, some accelerated with TensorRT. Contribute to Python-based AI prototypes using common ML/data libraries (NumPy, pandas, scikit-learn, PyTorch,...). Collaborate on future projects such as a web- or cloud-based company knowledge chatbot. Follow clean code practices and use a version control system for code collaboration. Technical Lab & Data Engineering (50%) Operate and monitor machine(s) in our Indian technical lab for AI-related data collection. Supervise and document the acquisition of materials and related sensor or process data. Handle labeling, preprocessing, and structured importing of data into internal systems. Ensure consistency, traceability, and quality of all data sent to the core AI team. Preferred candidate profile Bachelors or masters degree in one of the following fields: Computer Science, Electrical and Computer Engineering, Artificial Intelligence Solid experience with: C# (desktop/backend tools) C/C++ (real-time/embedded or performance-critical systems) Python for prototyping and scripting (AI/data tools) Strong technical understanding of data engineering practices. Clear and structured communication skills to work with international teams. Strong sense of ownership, attention to detail, and ability to self-manage. Perks and benefits Opportunity to work with a leading German AI team on industrial applications. A practical blend of software development and lab-based engineering tasks. Access to challenging, high-impact projects with future growth potential. A supportive, structured, and internationally connected working environment.

Job Title: Senior Systems Engineer Qualification: BTech / MTech/ BE Experience: 2 Yrs - 5 Yrs Package : 6LAP - 8LPA Shift: General shift Role & responsibilities Knowledge / Experience in AI Model Engineering Proficiency in programming languages such as Python or Java, or C++. Develop and maintain infrastructure as code (IaC) using tools like Terraform, ARM templates, or Bicep. Preferred candidate profile Proficiency in scripting languages such as Python, PowerShell, or Bash. Bachelors degree in computer science, Engineering, or a related field. Regards 8489756652 Ramya S

Job Title: AI Expert / Artificial Intelligence Specialist Location: Bangalore Experience Required: Minimum 3 Years Employment Type: Full-time Industry: IT Services & Consulting / AI & ML Job Summary: We are looking for a highly skilled and motivated AI Expert to join our technology team. The ideal candidate will have hands-on experience in developing, deploying, and scaling AI/ML models and working with large datasets to solve real-world business problems. Key Responsibilities: Design, develop, and deploy AI/ML models for business use cases. Work on NLP, computer vision, and predictive analytics projects. Collaborate with cross-functional teams including Data Engineers, Product Managers, and Software Developers. Implement machine learning algorithms and deep learning frameworks. Analyze large datasets to extract meaningful insights. Optimize model performance and conduct A/B testing. Stay updated with the latest AI trends, tools, and research. Required Skills: Strong understanding of machine learning algorithms, neural networks, and deep learning. Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with NLP, computer vision, or recommendation systems is a plus. Solid knowledge of data structures, algorithms, and statistics. Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with AI model deployment and MLOps tools is a plus. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 4 Month Probation Period

Reputed CBSE schools require skilled Computer Teachers with AI knowledge, B.Ed, strong communication, modern teaching & tech expertise. CBSE board exposure essential. Multiple locations available. Required Candidate profile Innovative well-known Computer Skills, B.Ed-qualified Computer Teacher with AI expertise, CBSE experience, excellent communication & digital skills. Passionate educator, adaptable & ready to relocate.

Role & responsibilities Job Summary: We are seeking a hands-on AI Engineer to design, build, and deploy intelligent AI agents using GCP Vertex AI , LangChain , and modern UI tools like Streamlit . The ideal candidate will bring together skills in large language models (LLMs), agent orchestration , MLOps , and user-friendly interface development to create powerful and accessible AI solutions. Key Responsibilities: Design and implement LLM-based agents using LangChain , integrated with GCP Vertex AI services. Build interactive UIs using Streamlit or similar frameworks to showcase and test AI agent capabilities. Develop end-to-end ML pipelines for training, evaluation, and deployment using tools like Vertex Pipelines , Kubeflow , or Airflow . Integrate with APIs, vector databases, and knowledge sources to enable RAG (Retrieval-Augmented Generation) workflows. Deploy scalable, secure AI services using CI/CD pipelines , infrastructure-as-code, and version-controlled model registries. Monitor model performance, manage experiments, and optimize agent behavior in production environments. Work cross-functionally with product, design, and engineering teams to deliver intuitive, high-impact AI-powered applications. Required Qualifications: Relevant of 36 years of hands-on experience in AI/ML engineering , including recent work with LLMs and LangChain . Proficiency with GCP Vertex AI tools such as Pipelines, Model Registry, Training, and Endpoints. Strong Python programming skills , with experience in FastAPI , Flask , or similar web frameworks. Demonstrated experience building interactive dashboards or tools using Streamlit , Gradio , or Dash . Knowledge of MLOps workflows , including tools like MLflow , Weights & Biases , or Vertex AI Experiments . Experience working with vector stores (e.g., FAISS, Pinecone, Weaviate) in agent pipelines. Familiarity with retrieval-based QA , embeddings, and prompt engineering techniques. Experience with LangGraph or similar agent orchestration frameworks. Preferred Qualifications: Familiarity with cloud-native deployment and DevOps tools (Terraform, Docker, GCP Cloud Build). Background in UX/UI design thinking or rapid prototyping for AI-driven applications. Experience integrating LLMs with external APIs or private knowledge sources.

Position: AI ML Engineer Experience: 6-10 years Location: Pune/Indore office Work Mode: Onsite Notice Period: Immediate Joiner 15 days Job Summary: We are looking for highly motivated and experienced AI ML Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Strong domain expertise in the AI area including LLM. Computer Vision, Time Series, RAG, fine-tune large models, traditional ML models, etc., (AI depth). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Preferred Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills.

Artificial Intelligence Specialist Skill-AI Specialist,Data Scientist,AI Model,AIML,AI Algorithms,Documents,Pytorch,TensorFlow,scikit-learn,AWS,Google Cloud Exp-2-5YRS In AIML PKG Upto-8.5 LPA Bangalore Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile HQ-B.tech,M.Tech,B.SC,M.SC,MCA Skill-AI Specialist, Data Scientist, AI Model, AIML, AI Algorithms, Documents, Pytorch, TensorFlow, scikit-learn,AWS,Google Cloud,Continuous Improvement, Git,AI Solution

Key Responsibilities: Deliver lectures, tutorials, and lab sessions for undergraduate/postgraduate Computer Science courses. Develop and update curriculum and course materials in line with the latest industry trends and academic standards. Guide students in academic projects, research, and internships. Evaluate and grade students coursework, assignments, and examinations. Conduct workshops, seminars, and guest lectures to enrich the learning environment. Engage in academic research and publish in peer-reviewed journals or conferences. Participate in departmental meetings, committees, and curriculum development. Stay current with developments in the field and integrate new technologies and methodologies in teaching. Qualifications: M.Tech / M.E. / Ph.D. in Machine learning and Artifical intelligence, AI& ML, or a related discipline. Prior teaching or industry experience is preferred. Strong knowledge of core subjects such as: Data Structures & Algorithms Operating Systems Computer Networks Database Management Systems Artificial Intelligence / Machine Learning / Data Science Programming Languages (Python, Java, C/C++, etc.) Excellent communication, presentation, and interpersonal skills. Preferred Skills: Experience with online teaching tools and Learning Management Systems (LMS). Ability to mentor students for competitive exams, coding competitions, and research. Published work in reputed journals or conference proceedings.