122 AI And Ml Engineer jobs in Bhopal

• Lead the design, development, and implementation of advanced AI and Machine Learning models.
• Mentor and guide a team of AI/ML engineers, fostering their technical growth and productivity.
• Define the AI/ML strategy and roadmap, aligning it with overall business objectives.
• Oversee the end-to-end ML lifecycle, including data acquisition, preprocessing, feature engineering, model training, validation, and deployment.
• Develop and implement scalable and efficient ML pipelines.
• Evaluate and select appropriate algorithms and frameworks for various machine learning tasks.
• Collaborate with software development teams to integrate AI/ML solutions into production systems.
• Conduct research into new AI/ML techniques and technologies to identify potential applications.
• Stay current with the latest advancements in AI/ML and industry best practices.
• Communicate technical findings and recommendations effectively to both technical and non-technical audiences.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of experience in AI/ML engineering, with a significant portion in a leadership role.
• Proven experience in developing and deploying production-ready ML models.
• Expertise in programming languages such as Python, and proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data structures, algorithms, and statistical modeling.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving and analytical skills.
• Exceptional leadership, team management, and communication abilities.
• Ability to work effectively in a fully remote, collaborative environment.
• Experience in natural language processing (NLP), computer vision, or deep learning is a plus.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3+ years of hands-on experience in developing and deploying computer vision models.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, scikit-image, Pillow).
• Solid understanding of image processing techniques, machine learning algorithms, and deep learning architectures (CNNs, RNNs, Transformers).
• Experience with data augmentation, model optimization, and performance evaluation for computer vision tasks.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• A portfolio showcasing relevant computer vision projects is highly desirable.
• Ability to work independently and manage time effectively in a remote setting.

• Design, develop, and implement state-of-the-art computer vision models and algorithms.
• Train, evaluate, and deploy deep learning models for image and video analysis tasks.
• Process and manage large-scale datasets for model training.
• Optimize model performance for efficiency and accuracy.
• Collaborate with software engineers and product teams to integrate AI solutions.
• Stay current with the latest research and advancements in AI and computer vision.
• Contribute to research, publications, and intellectual property development.
• Mentor junior AI/ML engineers.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Minimum of 7 years of experience in AI/ML engineering, with a strong focus on computer vision.
• Proficiency in deep learning frameworks (TensorFlow, PyTorch) and libraries (OpenCV, scikit-learn).
• Strong programming skills in Python and/or C++.
• Experience with cloud platforms (AWS, Azure, GCP) for AI development.
• Solid understanding of computer vision principles and techniques.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a remote, collaborative environment.

• Design, develop, train, and deploy advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, question answering, and machine translation.
• Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Hugging Face Transformers, spaCy, NLTK) to build state-of-the-art NLP solutions.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI features.
• Process, clean, and prepare large datasets for model training and evaluation.
• Conduct rigorous model evaluation, hyperparameter tuning, and performance optimization.
• Implement and manage MLOps pipelines for model deployment, monitoring, and retraining in production environments.
• Stay current with the latest research and advancements in NLP and machine learning.
• Contribute to the development of scalable and robust AI infrastructure.
• Mentor junior engineers and share knowledge within the team.
• Write clean, well-documented, and efficient code.
• Publish research findings or contribute to open-source AI projects where appropriate.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
• Minimum of 6 years of professional experience in AI/ML engineering, with a significant focus on NLP.
• Proven experience in building and deploying production-level NLP models.
• Strong programming skills in Python and expertise with relevant AI/ML libraries and frameworks.
• Deep understanding of NLP concepts, algorithms, and techniques (e.g., RNNs, LSTMs, Transformers, attention mechanisms).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities, essential for a remote team environment.
• Demonstrated ability to work independently and drive projects to completion.
• Publications in top-tier AI/ML conferences or journals are a strong plus.

Company Description

YouTube is a team-oriented, creative workplace where every employee has a voice in the decisions we make and the features we implement. We work in small teams to design, develop, and launch key features and products quickly. Our work is seen by millions of viewers almost instantly. As part of Google, we enjoy corporate perks, yet maintain a startup atmosphere. Headquartered in San Bruno, California, with job openings in Mountain View and globally, YouTube offers a dynamic work environment.

Role Description

This is a full-time on-site role for a Data Science and Artificial Intelligence professional at YouTube. The position is located in Madhya Pradesh, India. The selected candidate will be responsible for analyzing large sets of data, developing statistical models, and implementing data-driven solutions. Day-to-day tasks include data analysis, data visualization, statistical testing, and collaborating with various teams to provide insights and optimize features.

Qualifications

• Strong Analytical Skills and expertise in Data Analysis
• Proficiency in Data Science and Data Analytics
• Solid background in Statistics
• Excellent problem-solving skills and attention to detail
• Ability to work collaboratively in a team-oriented environment
• Relevant experience in similar roles is preferred
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field

Job Title:  Prompt & AI/ML Engineer – Chatbot LLM & RAGOverview

At QuantumLoopAI , we’re redefining customer engagement in healthcare with EMMA , the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end.

As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation.Responsibilities

• Architect & Deploy AI Models:  Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent  interactions.
• Prompt & Voice Agent Engineering:  Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels.
• Cross-Functional Collaboration:  Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture.
• Performance Monitoring & Optimisation:  Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements.
• Innovation & R&D:  Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap.
• Testing & Validation:  Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards.
• Technical Leadership:  Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews.

What You’ll Bring

• Proven Expertise:  Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions.
• Programming Skills:  Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration.
• Cloud & Data:  Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL).
• Systems Thinking:  Experience designing microservices, distributed architectures and RESTful/GraphQL APIs.
• Domain Interest:  A passion for healthcare technology, patient-centric design and improving NHS primary care workflows.
• Communication:  Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders.
• Collaboration:  A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture.

What We Offer

• Impactful Work:  Shape the AI and voice agent  engine behind EMMA , directly improving patient access and staff wellbeing across hundreds of GP surgeries.
• Innovative Environment:  Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development.
• Flexible Hybrid Working:  Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days.
• Competitive Package:  Attractive salary, equity options, pension contributions and comprehensive private healthcare.
• Supportive Culture:  Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting.

About QuantumLoopAI

QuantumLoopAI is the UK’s market-leading provider of AI-powered telephony, voice agent  and chatbot solutions for primary care. Our flagship product, EMMA , streamlines patient communications, slashes call-handling costs by up to 80%, and aligns seamlessly with NHS systems and regulations. Join us in our mission to transform healthcare access through intelligent automation.

Ready to transform patient care with AI? Apply now at 

Data Science & Analytics Trainer

Job Location
Bhopal

Salary
3 - 6 LPA

Role Overview

We are looking for a passionate and experienced
Data Science & Analytics Trainer
to join our team. The trainer will be responsible for delivering high-quality training sessions on Data Science, Machine Learning, Artificial Intelligence, and Business Analytics. The ideal candidate should have strong technical knowledge, hands-on industry experience, and a passion for teaching.

Key Responsibilities

• Deliver interactive training sessions (classroom & online) on
  Python, R, SQL, Data Analysis, Machine Learning, Deep Learning, AI, and Visualization Tools
  (Tableau, Power BI, etc.).
• Design and develop training materials, assignments, projects, and case studies aligned with industry standards.
• Mentor learners, resolve queries, and guide them in real-world projects and capstones.
• Stay updated with the latest trends and advancements in data science and analytics to keep training content relevant.
• Conduct assessments, evaluate learner performance, and provide constructive feedback.
• Collaborate with the academic/placement team to improve course quality and learner outcomes.

Required Skills & Qualifications

• Bachelor's/Master's in Computer Science, Statistics, Data Science, or related field.
• Strong knowledge of
  Python, R, SQL, Statistics, Machine Learning, AI, and Data Visualization tools
  .
• Hands-on experience with frameworks like
  Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch
  (preferred).
• Proficiency in at least one visualization tool:
  Tableau, Power BI, or Matplotlib/Seaborn
  .
• Excellent presentation, communication, and mentoring skills.
• Prior teaching/training experience (corporate or academic) is an added advantage.

Nice-to-Have (Preferred)

• Certifications in Data Science / Machine Learning / AI (e.g., Microsoft, AWS, Google, or Coursera/edX certifications).
• Industry project experience in Data Analytics, Predictive Modeling, or AI-driven solutions.
• Ability to design customized training modules for corporate clients.

Career Benefits with Us

• Opportunity to
  train and mentor future data scientists & analysts
  .
• Exposure to
  cutting-edge tools and technologies
  in Data Science.
• Competitive salary with performance-based incentives.
• Professional growth through continuous learning & collaboration.