5,966 AI Driven Robotics jobs in India

Full Time
- Cybercity, Gurugram (WFO)

**Podtech** is a leading software development company with a comprehensive suite of services and a 20-year track record of success. We help enterprises around the world transform their businesses by creating effective digital solutions with cutting-edge technologies.

**About the Role**:
We are searching for a talented and motivated Machine Learning Intern to join our team and focus on object detection projects. You will be responsible for the entire machine learning pipeline, from data preprocessing and feature engineering to model development and deployment.

**Responsibilities**:

- Collaborate with engineers and data scientists to define project requirements and develop machine learning solutions for object detection tasks.
- Preprocess and clean datasets for object detection models.
- Develop, train, and evaluate machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn.
- Implement techniques for feature engineering to improve model performance.
- Leverage experience with image annotation tools to label datasets with bounding boxes or segmentation masks.
- Utilize Git for version control and collaboration.
- Document your work clearly and concisely.

**Qualifications**:

- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
- Strong programming skills in Python.
- Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn.
- Understanding of data preprocessing techniques and feature engineering.
- Prior coursework or projects in object detection is a plus.
- Familiarity with version control systems like Git.
- Experience with image annotation tools and techniques for labeling datasets.

**Benefits**:

- Competitive salary and benefits package.
- Opportunity to work on challenging and impactful projects.
- Collaborative and supportive work environment.
- Continuous learning and development opportunities.

We Are #Hiring. Know anyone who might be interested

Job Title: Subject Matter Expert/Content Developer (Machine Learning)

Job Location: Hitec City, Hyderabad

Interview Mode: F2F

Fresher/Experience: 0-3yrs

**Salary**: Depends on Interview

Timings: 10am - 6:30pm

Working Days: Monday - Saturday

**Company Description**

EKALASAALA provides Career Guidance & Training to Technocrats through e-learning. The company aims to group all career paths available for engineering graduates in India and provide guidance on each path.

**Role Description**

**Qualifications**
- Computer Science skills
- Deep Learning and Machine Learning skills
- Statistical knowledge
- Understanding of Algorithms
- Experience in the field of Machine Learning
- Excellent analytical and problem-solving skills
- Master's degree in Computer Science or related field
- Proficiency in machine learning algorithms, data modeling, and statistical analysis
- Experience with tools like Python, Tensor Flow, and other machine learning frameworks
- Strong analytical and problem-solving skills
- Excellent communication and presentation abilities
- Bachler / master's degree in computer science, Data Science, or related field
Machine Learning internship
- Must Have Skills
- Machine Learning Algorithms, Statistical Modelling Python Programming Language Knowledge On AI, DL and CV Data Visualization Data Analytics and Exploration Strong Mathematics.

Pay: ₹25,000.00 - ₹30,000.00 per month

Schedule:

- Day shift

Work Location: In person

**Job Title: Machine Learning Developer - Quantitative Research Focus**
**Experience Required**: 5+ years (flexible for highly relevant profiles)
**Location**: (Kurla)

**About the Role**:
**Key Responsibilities**:

- Collaborate closely with the Research Head and Subject Matter Experts (SMEs) to:

- Deploy and test financial strategies.
- Identify promising research areas and evaluate relevant academic papers.
- Experiment with new models and techniques.
- Drive ML model development end-to-end: from conceptualization, data collection, and feature engineering to model training, evaluation, and deployment.
- Conduct in-depth quantitative and qualitative research in financial domains.
- Design and execute back-testing frameworks for trading strategies.
- Maintain thorough documentation of models, experiments, and research insights.
- Coordinate with the broader ML team for implementation and refinement of models.
- Publish whitepapers or research reports based on findings, where applicable.

**Required Skills & Qualifications**:

- Minimum 5 years of hands-on experience in Machine Learning with a strong research orientation.
- Deep knowledge of mathematical and statistical concepts relevant to ML.
- Proven experience in quantitative or qualitative financial research.
- Proficiency in Python, R, or other ML-relevant programming languages.
- Strong understanding of ML algorithms (supervised, unsupervised, reinforcement learning, etc.) and their mathematical underpinnings.
- Familiarity with financial datasets, modeling tools, and industry-standard back-testing environments.

**Preferred Qualifications**:

- Experience working in hedge funds, prop trading firms, quant desks, or asset management companies.
- M.Tech or Ph.D. in Computer Science, Mathematics, Statistics, Quantitative Finance, or a related discipline (preferred, not mandatory).
- Demonstrated mastery in the field through publications, open-source contributions, or impactful projects.
- Exposure to financial time series, risk modeling, alpha generation strategies, or portfolio optimization is a plus.

**Job Types**: Full-time, Permanent

Pay: ₹1,800,000.00 - ₹2,400,000.00 per year

**Benefits**:

- Paid sick time
- Provident Fund

Schedule:

- Day shift
- Fixed shift

Application Question(s):

- What is your current CTC?
- What is your expected CTC?
- What is your Notice Period?

**Experience**:

- Machine learning: 5 years (preferred)

Work Location: In person

**Join Amgen's Mission of Serving Patients**
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.

**Job Requisition ID #**
25WD89448
**Position Overview**
As a Machine Learning Engineer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work. ML Engineers work to deliver ML-driven technical solutions to customer needs in our platform.
Our team culture is built on collaboration, mutual support, and continuous learning. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.
**Responsibilities**
+ Design and implement Machine Learning capabilities that improve Autodesk's eCommerce & Customer platforms
+ Perform statistical and data analysis and exploration to generate datasets for model training and development
+ Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice
**Minimum Qualifications**
+ MTech/MMath/MS or PhD in Computer Science, Statistics, Engineering, Economics, Computational Linguistics or related fields
+ 0-3 years of applicable work experience in ML
+ Proficiency with the Python Machine Learning stack, e.g. Pandas, etc for statistical analysis
+ Proficiency with SQL for data analysis and wrangling
+ Knowledge of experimental design and analysis of results
+ Demonstrate expertise with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)
**Preferred Qualifications**
+ Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents
+ Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications
+ Experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena
+ Advanced software engineering skills including data structures and algorithms
+ Experience with data pipelines and model serving in AWS
+ Experience with MLOps, especially on AWS, at scale
+ Experience with long-text search with ElasticSearch, OpenSearch, Lucene, Solr etc
#LI-RV1
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
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

**Join Amgen's Mission of Serving Patients**
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.

At WTMF , we’re on a mission to build not just an AI app, but an AI bestie — someone you can journal with, share your moods, plan your days, or just talk to when you need it. To make that work, we need a Machine Learning Engineer who can turn ideas into working systems that scale.

This isn’t about research that lives in a PDF. It’s about taking models, making them efficient, and putting them in the hands of real people across the globe.

Who we’re looking for

Someone who:

• Knows their way around ML pipelines like others know their way around Google Maps.
• Gets a thrill out of optimizing inference speed or reducing model size.
• Can wrangle messy datasets without losing patience (or hair).
• Thinks “deployment” is where the real fun begins.

What you’ll actually do

• Build and optimize ML pipelines that power our journaling, mood tracking, and conversational features.
• Work with LLMs, embeddings, and classifiers to make WTMF smarter over time.
• Turn messy, real-world data into structured insights our AI can learn from.
• Collaborate with AI/ML researchers, backend engineers, and product designers to bring features from idea to production.
• Keep an eye on performance, scalability, and cost so our models run fast, smooth, and responsibly.

What you should bring

• Solid experience with ML frameworks (PyTorch, TensorFlow, or similar).
• Comfort with building and deploying ML systems end-to-end.
• Strong data engineering fundamentals (ETL, feature pipelines, distributed systems).
• Good grasp of statistics and optimization (you know why the model overfit before anyone asks).
• Bonus: hands-on work with cloud platforms (AWS/GCP/Azure) and MLOps tools.

Why you might love this

• You’ll be making ML work in the wild — powering an AI companion that users actually talk to every day.
• You’ll see your models improve real conversations, not just benchmarks.
• Competitive pay, equity options, and the freedom to work remotely.
• A small, ambitious team where your contributions shape the product directly.

Glance - An InMobi Group Company

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.

Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What You Will Be Doing

As a Machine Learning Engineer , you will help design, develop, and deploy scalable ML systems and services that power consumer experiences across Glance platforms. You will work closely with Data Scientists and cross-functional teams to drive ML solutions from ideation to production.

Key Responsibilities:

• Architect and implement end-to-end ML pipelines for experimentation, model development, and deployment.
• Build microservices and APIs to serve ML models and AI-driven features.
• Design and develop proof-of-concepts and scalable AI/ML-based products.
• Collaborate with product, engineering, and content (newsroom) teams to define, test, and launch new ML features.
• Explore and integrate new tools, platforms, algorithms, and ML frameworks.
• Own project delivery with a focus on performance, reliability, and scalability.
• Document solutions and communicate effectively with stakeholders.

What We’re Looking For

• 5+ years of hands-on experience as an ML Engineer, with a track record of delivering real-world ML solutions.
• Strong background in Computer Science, Mathematics, or Statistics (Bachelor’s, Master’s, or PhD).
• Proven ownership of end-to-end ML projects, from prototype to production.
• Solid experience working with Recommender Systems and personalization.
• Proficiency in Python , Golang , Spark , and related open-source ML/data frameworks.
• Strong understanding of statistics, algorithms , and applied math.
• Ability to work independently and collaboratively in cross-functional teams.
• Excellent technical documentation and communication skills.
• Experience in a research-driven or data science-intensive environment is a plus.