13,012 AI Ml Intern Indore Onsite jobs in India
Ai/ml Intern (Indore Onsite)
Posted today
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Job Description
- Job Description:
- Assist in the development and implementation of machine learning algorithms and models.
Participate in data collection, preprocessing, and feature engineering tasks.
Collaborate with team members to conduct research and experimentation to improve model performance.
Support the deployment of machine learning models into production environments.
Perform exploratory data analysis to gain insights and identify trends in the data.
Help maintain and optimize existing machine learning pipelines and workflows.
Stay up-to-date with the latest developments and trends in artificial intelligence and machine learning.
Requirement:
B.Tech (mandatory)
Job Location: Indore (Onsite)
Joining: Immediate
or can Contact Here:
-
**Job Type**: Internship
Contract length: 6 months
Schedule:
- Day shift
Application Question(s):
- Immediate Joiner
- Did you work on Python?
- Have you completed your B.Tech Degree? (mandatory)
- Did you work on Chatbot/TensorFlow/NumPy?
- Do you live in Indore (M.P.) ?
- Can you attend the Interview in office?
**Language**:
- English (required)
Work Location: In person
Machine Learning
Posted today
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Job Description
• Background in natural language processing and/or machine learning -
• Strong Computer Science fundamentals (algorithms, data structures) -
• Industry experience developing multi-threaded applications -
• Mathematical background (probability & statistics) a strong plus
• Knowledge of SQL, PL/SQL and standard RDBMSs a plus
Assistant Professor (Artificial Intelligence, Machine Learning)
Posted today
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Job Description
The Assistant Professor for BTech (AI/ML) is responsible for delivering high-quality education, fostering innovation, and guiding students in the rapidly evolving fields of Artificial Intelligence and Machine Learning. The role focuses on teaching excellence, hands-on learning, research, and mentoring students to excel in academic and industry-focused AI/ML projects.
**Minimum Qualifications**
**Education**:
Master’s degree (MTech/MS) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Bachelor’s degree (BTech) in a relevant discipline (AI/ML, Computer Science, etc.).
**Experience**:
0-3 years of teaching experience in higher education or relevant industry experience in AI/ML.
Practical exposure to hands-on AI/ML projects and their implementation.
⠀
**Key Responsibilities**
**1. Teaching and Instruction**
Deliver high-quality instruction for undergraduate courses in Artificial Intelligence, Machine Learning, Deep Learning, and related fields.
Develop and deliver lectures, practical lab sessions, and workshops to enhance students’ technical knowledge.
Use innovative teaching methodologies, including project-based learning, case studies, and real-world problem-solving.
**2. Lab Supervision and Practical Implementation**
Conduct and supervise lab sessions using frameworks like TensorFlow, PyTorch, and Scikit-learn.
Mentor students on practical AI/ML projects, ensuring they gain hands-on experience in model building, deployment, and evaluation.
**3. Research and Development**
Engage in research in areas such as Artificial Intelligence, Machine Learning, Deep Learning, and Big Data Analytics.
Publish research in reputed journals and conferences, contributing to the academic reputation of the department.
**4. Student Mentorship**
Provide academic and career guidance to students, aligning their learning path with industry trends.
Supervise undergraduate projects, internships, and competitions in the domains of AI/ML and Data Science.
**5. Curriculum Development**
Design and update course content to reflect industry standards and emerging technologies in Artificial Intelligence and Machine Learning.
Integrate practical AI/ML tools and technologies into the curriculum to ensure industry readiness.
**6. Industry Collaboration**
Build connections with industry experts to facilitate guest lectures, workshops, and collaborative projects.
**7. Assessment and Evaluation**
Develop and evaluate assessments, including exams, assignments, and hands-on projects, to measure learning outcomes.
Provide constructive feedback to students to enhance their technical and problem-solving skills.
**8. Professional Development**
Stay updated on advancements in AI/ML frameworks, tools, and technologies through continuous learning and professional certifications.
Participate in workshops, seminars, and conferences to improve academic and teaching capabilities.
**9. Departmental Activities**
Actively participate in departmental meetings, reviews, and strategic initiatives.
Contribute to organizing seminars, guest lectures, and academic workshops to enhance the learning environment.
**Job Types**: Full-time, Permanent
Pay: ₹578,644.39 - ₹1,309,232.70 per year
**Benefits**:
- Health insurance
- Provident Fund
Schedule:
- Day shift
Ability to commute/relocate:
- Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (preferred)
**Education**:
- Master's (preferred)
**Experience**:
- Teaching: 3 years (preferred)
**Location**:
- Bangalore, Karnataka (preferred)
Work Location: In person
Lead – Generative AI / Machine Learning / Artificial Intelligence
Posted today
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Job Description
Role: Lead - Generative AI/ Maching Learning/ Artificial Intelligence
Experience: 5 - 10 years
Job Location: Chennai
About OJ Commerce
OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India.
We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention.
Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories.
This role involves driving the marketing efforts for a product line with a compound annual growth rate (CAGR) of 70% to achieve the targeted revenue run rate of US$ 200 million in three years.
As we continue to forge new partner relationships, our flagship website, , has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually.
Job Summary:
We are seeking a highly experience and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning and Artificial Intelligence . The ideal candidate will drive the design, development and deployment of AI/ML solutions, lead technical teams and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies.
Key Responsibilities:
- Lead and mentor a team of AI/ML engineers and researchers.
- Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers).
- Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment.
- Work with large-scale datasets to develop, fine-tune, and evaluate models.
- Collaborate with product, design, and engineering teams to integrate AI capabilities into applications.
- Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable.
- Conduct technical reviews and provide guidance on best practices in AI model development.
- Ensure ethical, secure, and responsible AI development.
Must-Have Skills & Experience:
- 5–10 years of hands-on experience in AI/ML, including leadership responsibilities.
- Strong understanding of deep learning , NLP , computer vision , or generative models .
- Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers).
- Proficient in ML libraries and tools such as TensorFlow , PyTorch , scikit-learn , Keras , etc.
- Solid programming skills in Python ; experience with other languages like Java , C++ , or Go is a plus.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Experience deploying models in production environments (APIs, microservices, containers).
- Strong problem-solving, communication, and analytical skills.
Nice-to-Have:
- Research contributions or publications in AI/ML conferences or journals.
- Experience working with multi-modal models (text + image + audio).
- Knowledge of Reinforcement Learning , Prompt Engineering , or AutoML .
- Exposure to data governance , model explainability , and AI ethics .
What we Offer
- Competitive salary
- Medical Benefits/Accident Cover
- Flexi Office Working Hours
- Fast paced start up
Senior Artificial Intelligence/Machine Learning Developer (DES)
Posted today
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Job Description
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Artificial Intelligence/Machine Learning Developer (DES) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Location : Bangalore and Chennai ( Hybrid)
Skills and Abilities:
Minimum Qualifications:
About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
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Apply Back to search resultsMachine Learning Engineer
Posted 5 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual teams.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Engineer - Machine Learning
Posted 14 days ago
Job Viewed
Job Description
Come join us to create what's next. Let's define tomorrow, together.
**Description**
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
**Job overview and responsibilities**
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices.
+ Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure.
+ You will design and develop tools and apps to enable ML automation using AWS ecosystem
+ Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications
+ Support large scale model training and serving pipelines in distributed and scalable environment
+ Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
+ Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
+ Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree
+ Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
+ 2+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2+ years of experience in machine learning, deep learning, and natural language processing
+ 2+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
+ 2+ years of experience with Big Data technologies such as Spark, Flink and SQL programming
+ 2+ years of experience with cloud-native DevOps, CI/CD
+ 1+ years of experience with Generative AI/LLMs
+ Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline
+ Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, Cat Boost, Deep Learning, etc
+ Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
+ Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using tools such as Argo CD, Flux, or Jenkins X
+ Experience with generative models such as GANs, VAEs, and autoregressive models
+ Prompt engineering
+ Ability to design and craft prompts that evoke desired responses from LLMs
+ LLM evaluation
+ Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
+ LLM debugging
+ Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
+ LLM deployment
+ Ability to deploy LLMs in production environments and ensure that they are reliable and secure
+ Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Master's degree
+ Computer Science or related STEM field
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Machine Learning Engineer
Posted 14 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Machine Learning Engineer
Posted today
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Job Description
Location: Remote
Type: Full-Time
Experience Required : Minimum 5 Years
About this Role:
Excelgig, a leading digital solutions partner, is hiring on behalf of Unicorn Labs B.V. (Netherlands) to expand their global AI team. We are looking for an AI Specialist with strong expertise in custom model development, training and end-to-end pipeline creation . This is a unique opportunity to contribute to impactful, large-scale AI solutions while working with an international team.
Responsibilities:
• Design and develop custom machine learning and deep learning models for business-specific problems (NLP, computer vision, predictive modeling, recommendation systems, etc.).
• Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
• Collaborate with cross-functional teams across India and Europe to integrate AI solutions into real-world products.
• Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
• Optimize models with advanced techniques (hyperparameter tuning, distributed training, GPU optimization).
• Contribute to research initiatives and adopt the latest innovations in LLMs, generative AI, and automation frameworks.
• Document technical processes, architectures, and pipeline workflows for reproducibility and knowledge sharing.
Requirements:
• Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5+ years of hands-on experience in developing AI/ML solutions.
• Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.
• Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).
• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
• Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Strong problem-solving ability and ability to work independently in a remote, fast-paced environment.
Preferred Skills
• Experience in fine-tuning Large Language Models (LLMs).
• Exposure to real-time/streaming data processing (Kafka, Spark Streaming).
• Knowledge of microservices and API development for model integration.
• Experience with generative AI and reinforcement learning techniques.
Other Details
- Start Date: Immediate (in 10-15 Days).
- Equipment: Candidate must have their own laptop/device to work with.
What We Offer
• Work on international AI projects with Unicorn Labs B.V. (Netherlands).
• Competitive salary and growth opportunities.
• Remote-first, flexible working culture with cross-border collaboration.
• Access to cutting-edge AI research and tools.
• A chance to own end-to-end AI solutions with autonomy and creativity.