8,952 Annotation Specialist 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

You will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.

**Salary**: ₹30,000.00 - ₹35,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (required)

Application Question(s):

- How soon can you join?

**Experience**:

- Python: 6 years (required)
- AWS: 5 years (required)
- Machine learning: 6 years (required)

**Speak with the employer**

+91-XXX

You will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.

**Salary**: ₹30,000.00 - ₹35,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- NCR, Delhi: Reliably commute or planning to relocate before starting work (required)

Application Question(s):

- How soon can you join?

**Experience**:

- AWS: 6 years (required)
- Python: 5 years (required)
- Machine learning: 6 years (required)

**Speak with the employer**

+91-XXX

You will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.

**Salary**: ₹30,000.00 - ₹35,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (required)

Application Question(s):

- How soon can you join?

**Experience**:

- Python: 6 years (required)
- AWS: 5 years (required)
- Machine learning: 6 years (required)

**Speak with the employer**

+91-XXX

You will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.

**Salary**: ₹30,000.00 - ₹35,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (required)

Application Question(s):

- How soon can you join?

**Experience**:

- Python: 6 years (required)
- AWS: 5 years (required)
- Machine learning: 6 years (required)

**Speak with the employer**

+91-XXX

You will draw upon your machine learning, software development, and deployment skills and contribute to multiple customer products. You will experience first-hand how our Machine Learning team transforms ideas into AI products for our customers. You will also lead teams of young Machine Learning engineers who will deliver the AI solutions you envisage for clients.
What You’ll Do
Directly participate in: Develop, integrate, manage, and monitor machine learning based software projects typically using a mix of natural language processing, vision and speech
Experience working with ML platforms (Databricks, SageMaker, MLFlow, KubeFlow, Dataiku etc.)
Design and manage CI/CD pipelines.
Lead the team in developing practices for robust and efficient deployment of models.
Promote best practices within the team to improve quality, reduce risk, increase security, promote efficiency, and minimize costs.
What You’ll Need
4+ years of experience in working on Machine Learning Projects
Specialist in either Natural Language Processing, Vision or Speech
A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science
A solid understanding of statistical modelling/machine learning/data mining
Proficiency in Python and AWS machine learning packages
Experience with Python web framework, e.g. Flask or FastAPI
Experience with databases (Elasticsearch, SQL, NoSQL, Hive)
Experience in a cloud environment for software development and deployment (AWS preferred)
Excellent communication skills and ability to articulate a complex concepts
Familiarity with distributed data processing tools like Spark, Snowflake and Dataiku.
Experience with tools such as Tensorflow, Pytorch, Mx Net, or other deep learning libraries.

**Salary**: ₹30,000.00 - ₹35,000.00 per month

Schedule:

- Day shift

Ability to commute/relocate:

- Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (required)

Application Question(s):

- How soon can you join?

**Experience**:

- Python: 6 years (required)
- AWS: 5 years (required)
- Machine learning: 6 years (required)

**Speak with the employer**

+91-XXX

**Machine Learning**
Exp - 3-6 yrs
Max CTC - 17 LPA
Notice Period: 0-30 days

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.