25,426 Machine Learning jobs in India

• Strong Working Python, C++, C expertise -
• 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

Responsibilities
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python, Java and R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills

Schedule:

- Day shift

**Job Type**: Part-time
Part-time hours: 20 per week

Pay: ₹12,000.00 - ₹16,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- South ext part 1, Delhi - , Delhi: Reliably commute or planning to relocate before starting work (required)

**Experience**:

- total work: 1 year (preferred)

**Speak with the employer**

Responsibilities
- Research & develop Machine Learning models for security problems, in the areas of Networking, Application & Data.
- Suggest, collect and synthesize requirements and create effective features.

Minimum Qualifications
- Minimum of 7+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
- Extensive experience in handling Time-series data
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Experience in working on anomaly detection
- Experience in handling structured and unstructured data.
- Strong hands-on experience with statistical packages and ML libraries (e.g. Python scikit learn, Spark MLlib, etc.)
- Experience in developing and debugging in one or more of the languages Python

Preferred Qualifications
- Experience working with relational and NoSQL/Graph databases
- Unsupervised & Deep Learning Experience
- Ability and willingness to multi-task and learn new technologies quickly

**Salary**: ₹300,000.00 - ₹600,000.00 per year

Schedule:

- Day shift

**Experience**:

- Python: 3 years (required)
- Machine learning: 3 years (required)

Ability to Commute:

- Indore, Madhya Pradesh (required)

Ability to Relocate:

- Indore, Madhya Pradesh: Relocate before starting work (required)

**Speak with the employer**

Description
Key Responsibilities
- Design, develop, and optimize machine learning models and algorithms.
- Implement and fine-tune deep learning models using frameworks like PyTorch and TensorFlow.
- Analyze large, complex datasets to extract insights and identify patterns.
- Develop scalable machine learning pipelines for training, validation, and deployment.
- Collaborate with cross-functional teams to integrate ML models into production systems.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI technologies.
- Document processes and model performance to ensure reproducibility and compliance.

Format into sections and lists to improve readability
Avoid targeting specific demographics e.g. gender, nationality and age

**Requirements**:
**Requirements**:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in Machine learning, Deep learning, or AI tool development.
- Proficiency in Python and experience with frameworks such as PyTorch and TensorFlow.
- Solid understanding of statistical modeling, probability, and optimization techniques.
- Experience with data preprocessing, feature engineering, and handling large datasets.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

**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.

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.

Company Description

Founded in 2018, Giggso is a responsible AI platform for enterprise operations with security and automations. Giggso provides a single integrated platform for AI Agent orchestration, AI governance, monitoring and observability, incident management, automation, and remediation.

The platform is web 3.0 and blockchain-enabled, offering Model Risk Management solutions. Giggso aims to enhance decision-making and drive efficiency in AI ML systems for better customer experiences and cost management.

Role Description

This is a full-time hybrid role for a Machine Learning Engineer at Giggso, located in Chennai with flexibility for remote work. The Machine Learning Engineer will be responsible for pattern recognition, developing neural networks, implementing statistical analysis, and optimizing algorithms for AI ML systems. The role involves working on complex AI ML systems and contributing to operational efficiency and risk management.

Qualifications

• Pattern Recognition, Neural Networks, and Algorithms skills
• LLM programming with strong NLP background
• Strong background in python and math reasoning
• Proficiency in Statistics
• Ability to develop and optimize algorithms for AI ML systems
• Experience with pattern recognition and neural network modeling
• Knowledge of statistical analysis techniques
• Demonstrated expertise in algorithm design and implementation
• Strong problem-solving and analytical skills
• Understanding of model deployment and monitoring processes
• Master's is needed while PhD in Computer Science, Statistics, or related field is a plus

What you will enjoy doing

• You will develop, train, test and deploy machine learning models in various fields such as

computer vision, LLMs, tabular and time series data.

• Experimenting with novel deep learning based technologies such as self-supervised learning

and generative AI will also be part of your tasks

• You will support in setting up the MLOps infrastructure for existing and new AI products

• Additionally you will work directly with customer data and set up data pipelines to collect,

curate, transform and version data

You'll be working in the Artificial Intelligence team, AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across

business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers

in the AI team and others in the Global AI team.

As a Machine Learning Enginee, you will be working closely with our global AI team to create and

implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision.

What Makes You Great

• You have a Bachelor or Masters Degree in Data Science, Computational

Statistics/Mathematics, Computer Science or related field

• You know the basics of neural networks and have an initial practical experience with deep

learning frameworks like PyTorch and Tensorflow.

• You have experience in backend and API development with Python (FastAPI, Flask) or similar

• You demonstrate knowledge of and basic practical experience with Object Oriented

Programming, design patterns, algorithms and data structures, version control systems (e.g.

Git)

• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus

• Fluent English