93 Machine Learning Models jobs in Indore

• Design, implement, train, and evaluate state-of-the-art generative models (e.g., GANs, VAEs, Diffusion Models, Large Language Models).
• Develop novel approaches to data augmentation, synthetic data generation, and content creation using AI.
• Optimize model architectures and training procedures for performance, efficiency, and scalability.
• Collaborate with product teams and domain experts to identify opportunities for generative AI applications.
• Deploy generative models into production environments and monitor their performance, iterating as needed.
• Conduct research on emerging trends and techniques in generative AI and contribute to the company's intellectual property.
• Develop robust evaluation metrics and methodologies for assessing the quality and usefulness of generated outputs.
• Mentor junior ML engineers and contribute to the overall technical strategy of the AI team.
• Stay up-to-date with the latest research papers, open-source libraries, and industry best practices in machine learning and AI.
• Document models, experiments, and findings thoroughly.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of professional experience in machine learning, with a strong focus on generative models.
• Proven experience in developing and deploying production-level generative AI models.
• Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Expertise in one or more generative model architectures (e.g., GANs, VAEs, Transformers, Diffusion Models).
• Proficiency in Python and relevant ML libraries (e.g., scikit-learn, NumPy, Pandas).
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices.
• Strong mathematical background, including linear algebra, calculus, and probability.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

• Design, develop, and implement deep learning models.
• Work with large datasets for training and validation.
• Conduct research on cutting-edge AI/ML techniques and algorithms.
• Optimize model performance and efficiency for production deployment.
• Collaborate with cross-functional teams to integrate AI solutions.
• Implement and maintain machine learning pipelines and MLOps practices.
• Evaluate and benchmark model performance using various metrics.
• Stay current with industry trends and advancements in AI and deep learning.
• Contribute to technical documentation and knowledge sharing.
• Troubleshoot and resolve issues related to AI model development and deployment.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 4 years of hands-on experience in developing and deploying deep learning models.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Strong understanding of machine learning algorithms, neural networks, and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with MLOps principles and tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and teamwork abilities.

• Design, implement, and evaluate state-of-the-art deep learning models for various AI applications, including but not limited to natural language processing, computer vision, and reinforcement learning.
• Conduct foundational research into new AI paradigms and methodologies, publishing findings in top-tier scientific conferences and journals.
• Collaborate with cross-functional teams to translate research concepts into practical applications and prototypes.
• Develop and maintain high-quality, well-documented, and efficient codebases in Python using frameworks such as TensorFlow, PyTorch, or JAX.
• Analyze large datasets, identify patterns, and derive actionable insights to improve model performance and guide research directions.
• Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for innovation and knowledge sharing.
• Mentor junior researchers and engineers, providing guidance and technical leadership.
• Contribute to the strategic direction of the AI research roadmap.

• Ph.D. or M.S. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on research experience in deep learning, with a strong publication record in relevant venues.
• Expertise in at least one of the following areas: NLP, Computer Vision, Speech Recognition, or Reinforcement Learning.
• Proficiency in Python and major deep learning frameworks (TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed training.
• Strong mathematical background, including linear algebra, calculus, and probability theory.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Exceptional communication and collaboration skills, with the ability to effectively convey complex technical concepts.
• Demonstrated ability to work independently and manage multiple research projects concurrently in a remote setting.

• Design, develop, and implement novel deep learning algorithms and models.
• Conduct rigorous research and experimentation to validate and improve AI solutions.
• Analyze large datasets to extract meaningful insights and identify patterns for model training.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into production systems.
• Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and engineers, fostering a culture of learning and growth.
• Develop and maintain comprehensive documentation for models and research processes.
• Optimize model performance for scalability and efficiency.
• Contribute to the strategic direction of AI research within the organization.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of at least 5 years in AI research and development, with a strong focus on deep learning.
• Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in programming languages like Python, with strong software engineering skills.
• Deep understanding of machine learning principles, algorithms, and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) for AI workloads.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.
• Ability to work independently and collaboratively in a remote environment.
• Published research in reputable AI conferences (e.g., NeurIPS, ICML, ICLR) is highly desirable.

OpenCV University is looking for Developers obsessed with Research, Experimentation, Teaching, and Knowledge Sharing in the field of Computer Vision, Image Processing, and Deep Learning.

Company Description

OpenCV University is a premier AI education institution offering in-depth and meticulously designed courses on Computer Vision and Deep Learning. We are creating the world's best resources for learning Artificial Intelligence and Computer Vision. Our courses and blogs are used by thousands of users daily. Check out:

Courses:

Blog:

YouTube:

Our Journey

We have come a long way from creating a Computer Vision Course in 2017, when Online Learning was just starting, to a full-fledged Ed-tech offering AI Courses.

We take pride in saying we are a Bootstrapped, profitable platform powered by Big Vision Consulting. Check out our journey on the About Us page:

Mission:

Our Mission is to make OpenCV the No.1 destination for anything related to Computer Vision, for students to learn, for working professionals to upskill, and for Companies to hire talent.

Vision:

OpenCV University's vision is to empower learners across the globe to be a part of a collective AI workforce through our comprehensive courses and an expert team of world-class instructors.

Responsibilities:

This is your opportunity to truly shape one of the most influential disciplines of our time - Artificial Intelligence. We are hiring Computer Vision Engineer professionals with a passion for research and teaching in the field of Computer Vision, Image Processing, and Deep Learning.

Your role will be multifold meaning you will be exposed to a wide variety of work ranging from research to development to deployment to teaching and mentorship. Your responsibilities include:

• Research the latest trends and developments in computer vision technology and techniques and write SEO-compliant blog articles on the latest topics while maintaining the highest quality standards. (For example, currently, we are working on Generative AI and Transformers).
• Work on interesting CV and DL experiments, projects, and applications that become part of the course or deploy applications for demos of blog articles. This also includes creating supporting multimedia content, such as images, videos, and GIFs.
• Designing assessment materials for the courses, such as assignments, projects, and quizzes.
• Mentoring course students in the form of doubt-clearing sessions and career guidance via meetups and forums.
• Working on course updates in the form of checking version changes, corner cases, etc.

Skills required:

• Strong Python programming knowledge (C++ knowledge is a bonus).
• Experience working with computer vision libraries like OpenCV. (TensorFlow, and PyTorch knowledge is a bonus).
• Strong knowledge of deep learning-based computer vision algorithms, classification, segmentation, object detection, key-points detection, etc.
• Knowledge about LLMs, RAGs, VLMs is a plus.
• Knowledge of Other Tools like YOLO, Mediapipe, Android, iOS, FastAPI, Docker, and Kubernetes is a bonus.
• Excellent English speaking and writing skills.
• Candidates with blog posts on computer vision will be preferred.
• Candidates with OpenCV AI course certification will be preferred.
• Strong communication and collaboration skills.

Data Science Internship at SpectoV – Analyze. Predict. Innovate.

SpectoV is offering an excellent opportunity for Data Science Interns (Freshers) to work on real-world projects involving data analytics, machine learning, and AI-driven solutions. This internship is designed to provide practical experience in handling and analyzing data to build impactful solutions.

Program Structure:

• 1 Month Mandatory Training – Sankalp Data Science Training Program

• 2 Months Live Project Work – Real-world data science applications

Internship Details:

• Duration: 3 Months

• Location: Remote

• Eligibility: Freshers with basic knowledge of Python, Data Analytics, and Machine Learning concepts

Perks:

• Performance-based stipend (up to ₹10,000 per month)

• Full-time offer for top performers

• Training and Internship Completion Certificates

• Letter of Recommendation

Website: spectov.in

Apply now and build a strong foundation in Data Science with one of India’s leading AR/VR and AI innovators.

Our client, a global leader in the maritime industry, is seeking a talented Data Science Analyst to join their dynamic team in Mumbai.

Data Science Analyst

based in Andheri, Mumbai, India

ORGANIZATION : This position reports to Senior Data expert in the company headquarters. You will be part of the global analytics function that builds and drives data-driven decision-making across the organization. This role focuses on developing analytics platforms, dashboards, and predictive models that enhance operational efficiency and business intelligence across the company’s global fleet and offices. If you enjoy solving complex data challenges, building analytical solutions, and turning insights into real-world impact, this is an excellent opportunity to be part of an innovative team shaping the future of maritime analytics.

Key Responsibilities:

• Lead and deliver analytics projects from concept to completion, aligned with the company’s analytics roadmap.
• Source, cleanse, and transform raw data from large-scale systems to create strong foundations for modelling and dashboarding.
• Develop, validate, and deploy machine learning models using Python or R, leveraging modern ML libraries such as Scikit-learn or PyTorch.
• Build interactive and user-friendly dashboards using Tableau or Power BI, ensuring data is translated into actionable insights.
• Conduct exploratory data analysis (EDA) to identify trends and opportunities that drive strategic business outcomes.
• Collaborate with IT and operations teams across India and Hong Kong to design scalable, high-quality analytical solutions.
• Communicate findings effectively to senior stakeholders and non-technical users through visual and written reports.
• Promote data governance, best practices, and data literacy across the organization.

Your Profile:

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
• 5+ years of hands-on experience in Data Analytics or Data Science roles.
• Proficiency in SQL and experience working with NoSQL or Graph Databases.
• Demonstrated experience building machine learning models and deploying them in production environments.
• Strong working knowledge of data visualization tools such as Tableau or Power BI.
• Familiarity with Git for version control and collaborative development.
• Excellent analytical, problem-solving, and communication skills with the ability to simplify complex data for decision-makers.
• Experience with Big Data technologies (e.g. Spark, Hive, Presto) or cloud platforms (AWS, Azure, Google Cloud) will be an advantage.
• Exposure to Generative AI tools and frameworks such as LangChain, Vertex AI, or Hugging Face will be a plus.

The Offer:

• Join us to make a significant impact in the maritime industry through cutting-edge data analytics.
• A competitive remuneration package with benefits.
• Work with a global leader in the shipping industry.

RECRUITMENT PROCESS: Please apply with an updated resume. All applications will be treated as strictly confidential. Our team will review your application and a consultant will get in touch with you accordingly.

Comaea Consulting

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

• Intensive training in data analysis techniques, statistical modeling, and machine learning algorithms.
• Exposure to programming languages commonly used in data science, such as Python and R.
• Hands-on experience with data manipulation, cleaning, and preparation tools.
• Learn to build and evaluate predictive models and machine learning pipelines.
• Develop skills in data visualization and storytelling to communicate insights effectively.
• Work on challenging projects that address real business problems.
• Receive mentorship from senior data scientists and guidance on career development.
• Collaborate within a remote team environment, enhancing communication and teamwork skills.
• Opportunity to contribute to innovative data-driven solutions.
• Potential for full-time employment upon successful completion of the trainee program.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong academic record and a demonstrated interest in data analysis and machine learning.
• Foundational knowledge of programming concepts, preferably in Python or R.
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills, crucial for remote collaboration.
• Eagerness to learn and adapt to new tools and methodologies.
• Ability to work independently and manage time effectively in a remote setting.
• A proactive and curious mindset towards data exploration and discovery.