India presents significant opportunities in machine learning, a rapidly growing field. Data science jobs, encompassing roles like data scientists, and machine learning engineers, are in high demand. These positions require skills in statistical modeling, algorithm development, and deep learning techniques. 28,252 Machine Learning jobs in India
R&d Data Scientist / Chemometrician
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Job Description
We are currently looking for a **Data Scientist**, to expand our Data Science team. Reporting to a Senior Data Scientist, you will join our Data Science team, part of the Data Management team within the dynamic and globally-focused Innovation Center, where research, innovation, and development are at the forefront of our strategy.
**Corbion's Data Science Team** plays a pivotal role in the IC and the whole Corbion to establish a data-driven culture and support informed decision making. The goal of the team is to effectively leverage advanced statistics and data science/digital solutions to derive actionable insights and create value from high-quality data. The team is actively engaged in developing innovative technologies for root-cause analysis and data-driven troubleshooting, process optimization and monitoring with e.g. chemometrics models, and Process Analytical Technology. We provide statistical support and modeling for various departments (such as Microbiology, Sensory), as well as process data and analysis systems for our fermentation processes, underpinning Corbion’s commitment to science-driven solutions and sustainable innovation.
**Key Responsibilities**:
- Drive innovation initiatives to explore and implement emerging tools & technologies, and implement state-of-art Machine learning, optimization and statistical techniques to enhance predictive modelling, optimization, and decision-making processes.
- Be an advocate for developing data science competences (statistics, data mining, chemometrics) in the organization.
- Keep up to date with the latest developments in data science and share these with the team.
**About you**
- PhD in Data Science, Chemometrics or Computer Science.
- Experience with data visualization tools like PowerBI
- Software development skills and good practices such as Git, release management, unit tests, testing strategy.
- DevOps/ Agile way of working
- Analytical mindset and a critical way of thinking.
- Excellent communication and presentation skills
- Able to work on-site in Navi Mumbai
- Fluent in English
**About Corbion**
**_
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Machine Learning/Deep Learning
Posted today
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Job Description
• Responsibilities Select appropriate datasets and data representation
• methods Data mining using state-of-the-art techniques
• Create and maintain optimal data pipeline architecture Assemble large, complex data sets
• That meet functional / non-functional business requirements
• Design and developing machine learning systems Implement appropriate ML algorithms to create and deploy AI models into production
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
Machine Learning
Posted today
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Job Description
A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.
Summary:
Job responsibilities
- The main responsibility is to create quality datasets to make the deep learning algorithms more efficient
- Create SQL queries for extracting data from the database
- Create automation scripts (preferably in python) to query, mine and prepare the data with necessary labels, preprocessing.
- Create different configurations of datasets based on specific requirements
- Understand the statistics from the datasets created and devise ways to improve it
- Creating and maintaining documentations for every dataset created
Basic Education:
- Bachelors or Masters in Computer Science / Information Technology / Electronics / Electrical
Preferred skills:
- Background in SQL, data-analysis
- Strong programming knowledge in python
- Basic knowledge of image processing, machine-learning would be good to have
- Experiment & integrate/migrate to better frameworks
HARMAN is an Equal Opportunity /Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race,color, religion, sex, sexual orientation, gender identity, national origin,disability or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation.
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Machine Learning
Posted today
Job Viewed
Job Description
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 and PowerBi
- 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
- They have to Create the Content and Code With the help of technologies
- 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 - ₹35,000.00 per month
Work Location: In person
Machine Learning Engineer
Posted 6 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 15 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
Machine Learning Engineer
Posted 15 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.
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Machine Learning Engineer
Posted today
Job Viewed
Job Description
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
Machine Learning Engineer
Posted today
Job Viewed
Job Description
Machine Learning Engineer (Remote)
Company: Genista Biosciences (San Jose, CA – US-based Biotech Startup)
Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We’re looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform.
What You’ll Do:
- Design, train, and deploy scalable machine learning models for real-world biotech applications
- Work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Collaborate with backend teams to integrate ML models into applications and APIs
Requirements:
- 2–5 years of experience as an ML Engineer or in a similar role
- Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience deploying models at scale (cloud platforms: AWS/GCP/Azure )
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)
- Solid understanding of data structures, algorithms, and software engineering best practices
- Experience with scientific/biotech/healthcare data is a plus
Perks:
- 100% remote
- Opportunity to apply ML in high-impact biotech solutions
- Startup culture: autonomy, innovation, and ownership
Machine Learning Engineer
Posted 1 day ago
Job Viewed
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.