Machine Learning Jobs in Noida

Machine learning jobs are in very high demand in Noida. Businesses of all sectors aim to make the most out of this powerful technology to improve their operations, productivity, Cloud-based real-life, Bachelor, and profits. In order to make the most out of this technology companies are actively searching for machine learning engineers, scientists, and developers since they have all the necessary skills to build and deploy machine learning models to solve complex problems. 

Noida is a major IT hub in India and is home to many top companies that are investing heavily in machine learning. Not just the IT industry but also a variety of industries, including healthcare, finance, retail, and manufacturing are handsomely paying to hire professionals in Noida. 

If you have all the skills required then you are at the right place. Keep reading the article to learn about the companies, roles, skills required, vacancies, and more for this prestigious position

Machine Learning

50 Companies for Machine Learning Jobs in Noida

Company	Skills and Responsibilities	Apply Link	Employment
Adobe	B.Tech in Computer Science. MS/PhD preferred. 3+ years of Industry experience. Ability to write efficient, clean, and reusable code in Python and C++. Develop algorithms that use deep learning and traditional methods in NLP & computer vision, combined with traditional large complex solutions/codebases.	Careers	Full time
HCL Technologies	Hands-on experience in various models on NLP, CNN, RNN, LSTM, Transformer[1]based, Clustering, Regression, etc. Must have extensive knowledge of CV2 TensorFlow, Pytorch, Keras, and other deep-learning libraries. Added advantage in understanding various databases, APIs, and file formats like JSON, and XML Experience: 5 -7 Years Build various NLP models for different applications from scratch Build recommendation systems from scratch with images and text.	Careers	Full time
WalkingTree Technologies	Bachelor’s degree or above in Computer Science, Robotics, or a related field. (Master’s preferred). A minimum of 5 years experience in machine learning, with a focus on robotics preferred. Understanding of machine learning algorithms, data structures, and performance tuning. Familiarity with programming languages such as Python, C++, or Java. Implement and adapt machine learning models tailored for computer vision and robotics applications. Formulate data collection and acquisition strategies for both synthetic and real life data for model training.	Careers	Full time
Liberin Technologies	Bachelor s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python programming and experience with ML libraries such as PyTorch, TensorFlow, and Numpy. A strong foundational understanding of ML principles and algorithms, especially in the context of NLP. Familiarity with language models, transformer agents, and Langchain is a plus. Implement and test various machine learning algorithms using libraries like PyTorch, TensorFlow, and Numpy. Participate in the entire ML model lifecycle, including data collection, preprocessing, model building, training, evaluation, and deployment.	Careers	Internship(6-9 months)
Vinove Softwares	Proficiency in one or more programming languages commonly used in AI/ML, such as Python, R, Java, C++, or Julia. Understanding of various machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. Familiarity with deep learning techniques and frameworks like TensorFlow, PyTorch, or Keras. Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems. This includes selecting appropriate frameworks, libraries, and tools.	Careers	Full Time
Cyient Ltd	Should have 8-10 years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have 5 years of experience in Developing solutions and/or leading a team of data scientists, working closely with the client’s technical team to plan. 4+ years Hands on real-time experience in Deep Learning models for computer vision problems Demonstrated programming skills on Open CV / Matlab Expert level knowledge with Deep Learning frameworks TensorFlow, Keras, Fastai, and PyTorch and Computer Vision libraries like OpenCV, OpenVino, SciPy, NumPy, TensorRT, CUDA Strong programming knowledge of Python or C++ Good Understanding of Deep neural networks for 3D / LIDAR imagery implementation Data preparation, model generation, and deep training, and then post image/video feed processing of the results Implementation of Machine Intelligence Lidar/RGB-based big volumes and Knowledge of Advanced Image Processing concepts are needed in addition to ML	Careers	Full time
Nityo Infotech	Proficient in Python Proficient in any one cloud skills ( Data Analytics & ML Services) – GCP / AWS / AzureS3LambdaAPI Work with core AI / ML team and understand & deliver AI / ML solutions around Cloud based services. Discussion with customers and formulation of Business / ML Problem Act / assist to help other members of the team for solutions implementation. Delivery and build solutions for AI / ML Problems take care finer data science points in building solutions. Initiate and complete project cycle activities like data collection, integration, cleaning, data analysis, visualization, feature engineering, etc. Experience Required: 5 – 10 Years	Careers	Full Time
BlackBerry	Experience with the machine learning and MLOps ecosystems (e.g. PyTorch/TensorFlow, XGBoost/LightGBM/Catand Boost, scikit/numpy/pandas, MLFlow, Airflow/Prefect) Experience working with big data (Spark, SQL) and cloud computing services (AWS, GCP) Experience building, running, and evaluating the outputs from end-to-end machine learning pipelines, including ETL, feature extraction and selection, model development, training, evaluation, deployment, and monitoring Design, develop, optimize, and operationalize ML models for the BlackBerry Cylance suite of cybersecurity products Design, develop, and maintain big data and feature extraction/selection pipelines for model training and evaluation	Careers	Full time
Eightfold AI	Strong foundation in Machine Learning (ML), Deep Learning, and NLP Familiar with Language models, transformers like BERT, GPT-3, T-5, etc. BS or MS or PhD degree in Computer Science, Data Science,and  or Mathematics Exceptionally strong knowledge of CS fundamental concepts and ML languages ( like Python, C, C++, Java, JavaScript, R, and Scala, etc. ) You will be owning, training, building and deploying cutting-edge deep learning models across all Eightfold products, end to end. You will collaborate on various ideas and ensure that there is a highly reliable, world-class platform to run ML models on.	Careers	Full Time
Chetu	2+ years of experience with Python and machine learning In-depth understanding of object-oriented programming. One will have to Implement, develop, according to corporate coding standards. Responsible for the quality of code and applications. Coordinate with other team members to ensure that all TMs are in sync. Upload documents in appropriate folders at proper locations.	Careers	Full Time
Orangewood Labs	Master’s in Computer Science, Robotics, or a related field. Strong programming skills in C++ and Python Proficiency in PyTorch or other deep learning frameworks Solid understanding of machine learning concepts and techniques, including supervised and unsupervised learning, reinforcement learning, and neural networks. Develop and implement machine learning models and algorithms to improve the performance and capabilities of our robotic systems	Careers	Full Time
JK Technosoft	Mandatory – Professional Machine Learning Engineer Certification Natural Language Processing (NLP): Implement NLP techniques and models for tasks like sentiment analysis, text classification, chatbots, and language translation using GCP services like Cloud Natural Language and AutoML NLP. Computer Vision: Develop computer vision solutions for image and video analysis, object detection, and image recognition using GCP’s Vision AI and AutoML Vision, which provide pre-trained models and custom training capabilities. Recommendation Systems: Design and build recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches, leveraging GCP’s recommendation AI services like Recommendations AI.	Careers	Full Time
Suntek It Solution	Candidates must have experience in developing Machine learning, Text extraction, and Image processing. In-depth knowledge of machine learning, text extraction, and image processing techniques. Experience in developing machine learning, text extraction, open-sourcean A and image processing algorithms, and optimizing the existing algorithms. Experience 2-7 years	Careers	Full Time
Upadpro Software & Services	Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or related field Proven expertise/ certification in machine learning Basic understanding & knowledge of machine learning concepts, algorithms, and frameworks Experience with Python programming language Design, develop, and implement machine learning models and algorithms using Python and relevant libraries. Design and train machine learning models from scratch Evaluate and optimize the performance of machine learning models	Careers	Full Time
Pragra	Bachelor’s degree in computer science, data science, mathematics, or a related field. Master’s degree in computational linguistics, data analytics, or similar will be advantageous. At least two years’ experience as a machine learning engineer. Advanced proficiency with Python, Java, and R code writing. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.	Careers	Full Time
CodiniX	Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum of 4 years of hands-on experience in machine learning, deep learning, and AI. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Strong understanding of statistical analysis and data visualization. Experience with data preprocessing, feature engineering, and model selection. Develop, implement, and optimize machine learning and deep learning algorithms. Collaborate with data scientists and software engineers to integrate machine learning models into applications.	Careers	Full Time/Part Time
Findability Sciences	Bachelor’s / Master’s degree or Ph.D. in computer science, data science, mathematics, or a related field. Minimum 8 years’ experience as Machine learning and NLP Engineer. Hands-on NLP based embedding engines (BERT, BART, GPT-2, Glove, USE, ELMO, RASA framework, etc). Software development model: Life Cycles: Waterfall, Agile, others. Machine learning and Deep Learning: Artificial Neural networks, Hyperparameter tuning, classification-based networks, etc	Careers	Full Time/Part Time
Coforge	Master’s degree in Statistics, Mathematics, Computer Science, or another quantitative field. 6 – 10 years of experience manipulating data sets and building statistical models. Develop custom statistical models and algorithms to apply to datasets. Use data wrangling, feature engineering, and predictive modeling techniques to optimize customer experiences, revenue generation, and other business outcomes. Use the A/B testing framework and test model quality. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.	Careers	Full TIme
Flexsin	looking for an experienced Conversational UI Engineer help define, design and build AI powered Chatbots that automatically facilitate a host of different actions Candidate will be doing hands-on Research and Development for building NLP-based products	Careers	Full time
Valiance Solutions	Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven track record of architecting and developing software applications, preferably chatbots, information retrieval , enterprise search applications. Experience with extracting and organizing information from unstructured documents like pdf, word, text files. Experience working on information retrieval applications based on natural language queries. You have knowledge or experience working with vector databases. Strong programming skills in languages such as Python.	Careers	Full time
Tata Cummins	Developing ML or Rule based models for different use cases. Defining and scoping projects by working closely with business customers to understand their needs and priorities along with internal and competitive information into clear,prioritized requirements. Working with the development and business team to deliver a finished product that achieves its goals, on schedule by proactively identifying and resolving strategic issues and risks that may impact the team’s ability to meet goals. Management and delivery of projects with the highest levels of performance, reliability, usability, and business customer delight Driving user workflow on user experience, review, and clarification sessions with the development team, business customers, and quality engineering teams to deliver maximum customer value with available time constraints and resources.	Careers	Full time
delvetech	Should possess extensive knowledge of and experience in applying data mining and machine learning, deep learning techniques in a professional context. Candidate should be expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must. Good communication skills and ability to work in a team	Careers	Full Time
Codersarts	Master or PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience. Relevant internship or work experience with data analysis. Experience with statistical software (R, Python, S-Plus, SAS, or similar) and experience with database languages (e.g. SQL). Research on given machine learning/data science topics for writing articles for our company websites Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles Work on short projects & assignments Work on deployment techniques	Careers	Internship(6 months)
HyreFox Consultants	Deep knowledge of machine learning methods and applications Strong programming skills Desirables Working knowledge of Java / Hadoop / Spark App development exposure Ticketing and Version Controlling: SVN, Git, Jira Participate in Designing, Developing new products. Understand business requirements to translate business problems into analytics problems and construct analysis road-map based on the business context	Careers	Full Time
Vehant Technologies	andidate will have a strong background in developing and deploying machine learning models, and a proven track record of leading teams to deliver successful AI/ML projects for video analytics. Lead a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics. Collaborate with cross-functional teams to understand business requirements and identify opportunities for AI/ML solutions. Develop and maintain project plans, and timelines. Ensure that all AI/ML solutions are scalable, maintainable, and aligned with best practices	Careers	Full Time
ION Group	Proven and in-depth experience of 5+ years in designing and delivering ML solutions, preferably within a consultancy or cloud solutions environment. 10+ years of software engineering experience delivering production-ready solutions in an enterprise environment. Highly proficient in Python and relevant ML & Data Engineering libraries (Spark, Scikit-learn, TensorFlow, PyTorch, Keras, NumPy, Pandas, Dask). In-depth knowledge of generative AI techniques and frameworks, such as GANs (Generative Adversarial Networks), VAEs (Variational Auto encoders), or similar. A passion for the Generative AI space, particularly around NLP and LLMs. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with relevant AI/ML/DL services and tools is a plus.	Careers	Full time
Genpact	Proficiency in one programming language as base minimum, such as Python. Previous experience in a client-facing role or presenting technical information to non-technical stakeholders Relevant years of experience in machine learning, data science, or a related field, with a focus on Neural Networks, Transformer models, tabular data, and NLP. Strong proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch , Scikit-learn, Matplotlib, Seaborn, Plotly , Pandas, NumPy	Careers	Full time
Constems-AI	Collaborate with the deep learning team to develop and implement machine learning models and algorithms. Participate in data collection, preprocessing, and analysis to support model training. Contribute to research discussions, brainstorming sessions, and project planning. Iterate on model designs, experiments, and optimization strategies. Assist in evaluating and incorporating the latest advancements in deep learning research. Document and communicate technical findings and progress effectively. Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field. Strong foundation in machine learning and deep learning concepts.	Careers	Intern
Lab49	Proven and in-depth experience of 5+ years in designing and delivering ML solutions, preferably within a consultancy or cloud solutions environment. 10+ years of software engineering experience delivering production-ready solutions in an enterprise environment. Highly proficient in Python and relevant ML & Data Engineering libraries (Spark, Scikit-learn, TensorFlow, PyTorch, Keras, NumPy, Pandas, Dask). In-depth knowledge of generative AI techniques and frameworks, such as GANs (Generative Adversarial Networks), VAEs (Variational Auto encoders), or similar. A passion for the Generative AI space, particularly around NLP and LLMs. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with relevant AI/ML/DL services and tools is a plus.	Careers	Full time
GlobalLogic	B.S. in Computer Science or equivalent. 5+ years of experience in software development, with a focus on machine learning. Expertise in at least one modern language like Python. Experience with cloud-hosted SaaS solutions on AWS or other major cloud providers. Proficiency in machine learning frameworks like TensorFlow or PyTorch. Contribute to the end-to-end machine learning lifecycle in a cloud-hosted environment.	Careers	Full Time
Capgemini	3+ years proven experience in SW development. Systems Engineering studies completed Open to work on new technologies is mandatory. Should have excellent programming/software development background. Experience in R Language is an asset. Experience in .Net, Java and Groovy is an asset Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Excellent, proactive problem solver. Strong analytical skills with the ability to analyze complex requirements and define technical/functional advanced solutions. Study/ transform data science prototypes, design machine learning models and deploy appropriate ML algorithms and tools	Careers	Full time
Cognizant	The associate would be responsible for creating machine learning models and data pattern analysis. One needs exceptional skills in statistics and programming knowledge of data science and software engineering is must. The associate should have hands on experience in ml area. The associate should be help us too extract analytical patterns from our data Experience in developing, deploying and maintaining ml algorithms to analyse large volumes of historical data to make predictions. One should be able lead all the processes from data collection, cleaning, and pre-processing, to training models and deploying them to production. Analysing the ml algorithms that could be used to solve a given problem and ranking them by their success probability Validating the data quality, and/or ensuring it via data cleaning Defining data augmentation pipelines, training models and tuning their parameters Capabilities with deployment strategies, containers and turning the model for cloud and scalable feature engineering. The associate should have hands on experience with python as the core programming language along with the sdlc lifecycle.	Careers	Full time
Accenture	Bachelor´s or Master’s in one of the quantitative disciplines: econometrics, computer science, statistics, mathematics, economics or any other related field. Proficiency in Python and key ML, data and API libraries. Experience in writing production-grade code with OOP best practices. Good knowledge of SQL and experience in data engineering. Hands-on experience in creating end-to-end data processing pipelines (sourcing, exploration, automation, visualization, etc). Hands-on experience with at least one of the cloud providers (GCP, AWS, Azure) and/or data analytics platforms (Databricks, Dataiku, Alteryx, etc.)	Careers	Full time
Tata Consultancy Services	5+ years relevant real-world experience researching, developing, and delivering high impact data driven insights through machine learning. Deep understanding of supervised, unsupervised, reinforcement machine learning and NLP / NLU / LLM techniques. High proficiency in exploratory data analysis, data profiling, and feature engineering on large structured and unstructured datasets. In depth knowledge and hands-on computer programming in SQL, Python, R or similar programming language.	Careers	Full time
EY	bachelor’s or Master’s degree in computer science, data science, engineering, or a related field. Experience in the fields of AIOps, MLOps or System Administration. Participation in Kaggle competitions or personal ML projects can also demonstrate practical skills. Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is highly desirable. Understanding how to leverage cloud resources for deploying and scaling ML models.	Careers	Full time
Microsoft	Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Experience with ML frameworks like Pytorch, Tensorflow, or Keras Experience with Azure cloud specifically Previous experience in a customer-facing role, working across heterogeneous teams of internal and external engineers	Careers	Full time
Tech Mahindra	Design, develop, and implement Generative AI models and algorithms, using models such as GPT, T5, BERT, LLAMA, Flacon Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Bachelor/master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field. 6+ years in AI-ML. Proficiency in Python and have 6+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.	Careers	Full time
SAP	Experience in Data Preparation, Data Integration, Data Management and preparation tasks Support in preparation of Data Science, AIhre, ML Embedded in S/4 and other solutions. Expand own skill sets to other and upcoming areas of AI, ML, Predictive Analytics of SAP Hands on programming skills (e.g., Java, C ++, ABAP), data analysis and modeling, database concepts, operating systems and technologies such as Kubernetes and Docker. UI/UX knowledge. Familiar with Agile/Scrum methodologies	Careers	Full time
Samsung	Work with machine learning / deep learning experts to design and implement networks optimised for CPU/GPU-accelerated inference Develop advanced inference engine techniques to enable real-time deployment of models Bachelor of Engineering (BTECH / BE) or Masters (MTECH / MS / MCA) in Computer Science / Information Science or Ph. D in Computer Science Excellent in machine learning and deep learning concept Data understanding and analysis Preprocessing and dimensionality reduction techniques Supervised / Unsupervised / semi-supervised learning CNN family architectures	Careers	Full time
Nokia	Proficiency with Python, R, libraries & frameworks for machine learning such as scikit-learn, pandas, numpy etc. Expertise in visualizing and manipulating big datasets Experience in ML Ops like Kubeflow, ML Flow, Seldon Serving, Liminal, GIT, DVC Working with Data Sources – Spark, Hive/Hadoop, Kafka Familiarity with Linux, Docker, Kubernetes and Cloud	Careers	Full time
DELL	4+ Working knowledge of Python, Packages, Code Constructs and Object-Oriented Methodology Deep understanding of ML Algorithm Scalability, Result Reproducibility Hands-on experience with working on Kubernetes extensions, building CRDs, operators using Operator framework Experience in designing & building real-time, large scale production-grade microservices applications Good Knowledge of full-stack infrastructure. Experience with scripting and automation is desirable (Bash, Terraform, Ansible, Jenkins)	Careers	Full time
Vitrana	Run machine learning tests and experiments BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus. 2-4 yrs experience as a Machine Learning Engineer or similar role. Deep knowledge of math, probability, statistics and algorithms Familiarity with machine learning frameworks (like Keras or TensorFlow) and libraries (like scikit-learn)	Careers	Full Time
Droisys Inc.	Experience with PyTorch, or another major deep learning framework such as TensorFlow Solve cutting-edge scientific and technical challenges related to recognition and pose estimation using algorithms like Yolo Experience with data manipulation tools including jupyter notebooks, numpy, scipy, matplotlib, sci-kit-learn, Python & Bash scripting, Linux environment. Experience: 4-7 years BS or MS with computer vision experience or Ph.D. in Computer Vision related topics	Careers	Full Time
Twirll	Proficiency and experience data science Experience in SQL & No SQL databases Experience in SQL queries Experience in machine learning modeling Work on machine learning techniques for predictive analytics Collaborate with our product and design teams to define reporting feature specifications and timelines	Careers	Full Time
Navikenz	Programming skills in Python/Pyspark. Expert SQL knowledge and experience with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases Ability to develop, maintain and distribute the code in modularized fashion Analyzing business and system requirements and define optimal data pipeline design for fulfilling them. Building scalable, performant, supportable and reliable data pipelines	Careers	Full Time
bolster.ai	Collaborate with cross-functional teams to understand project requirements and design effective test strategies. Integrate automated tests into the CI/CD pipeline using Jenkins for continuous testing. Work with AWS services to configure and manage test environments. Perform API testing using tools like Postman or equivalent for RESTful web services.	Careers	Full Time
SmartJoules	To perform statistical analysis and fine-tune models using test results. To train and retrain ML systems and models as and when necessary. To deploy ML models in production and maintain the cost of cloud infrastructure. To develop Machine Learning apps according to client and data scientist requirements. Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc. Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark, Pandas, Numpy and related libraries.	Careers	Full Time
Motherson Technology Services Ltd	Work with core AI/ML team and understand & deliver AI / ML solutions around Cloud based services. Discussion with customers and formulation of Business / ML Problem Act / assist to help other members of team for solutions implementation. Delivery and build solutions for AI / ML Problems – take care finer data science points in building solutions.	Careers	Full Time
Edinno	Constructing serverside logic for web applications using Python and related technologies Writing code that’s reusable, testable and efficient. Frontend developers create userfacing elements, but serverside logic must be integrated Implementation of security and data protection measures. Working knowledge of both SQL and NoSQL databases. Relevant experience in AWS Good understanding of front-end technologies such as HTML, CSS, and JavaScript	Careers	Full time
Masters India IT Solutions	Working on the awesome AI product for document information extraction. Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques. Work with an international top-notch engineering team with full commitment on Machine Learning development. Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet, BERT. Able to implement the latest DL model using existing API, open source libraries in a short time. Hands-on experience with the Cloud-Native techniques. Good understanding about web services and modern software technologies.	Careers	Full Time

Job Portals:

Explore a comprehensive list of job portals to efficiently discover your ideal job. Find the perfect career opportunity with ease through the given portals.

• GeeksforGeeks – Job Portal
• indeed – Job Seacrh
• naukri.com

Salary of Machine Learning 2023

Machine Learning Salary in India highly depends on experience, skills, and relevant certifications. The industry and location of work can also play a role in determining the salary.

The average Machine learning Engineer Salary ranges between ₹ 3.0 Lakhs to ₹ 20.5 Lakhs in India but In Noida, it is 8.7 Lakhs. To know more about the salary of other places and based on experience and skill sets.

• Top 10 Online Courses For Machine Learning in 2023
• Types of Machine Learning
• Applications of Machine Learning

FAQs

Q1. What is the difference between Machine Learning Engineering and Data Science?
Ans: ML engineering, on the other hand, focuses on creating and deploying machine learning models to solve the specific given problems.Data science is a concept which tackle big data and includes data cleansing, preparation, and analysis.

Q2 .What skills are needed for machine learning engineers?
Ans: To understand what machine learning is, machine learning engineers must understand the fundamentals of computer science and various programming languages including the use of Python, Java, R and C++. They need to be skilled in math related topic such as probability, statistics, data modeling and evaluation, deep learning, machine learning algorithms, software engineering and system design. The job requires excellent conveying skills, the ability to be a team player and strong analytical knowledge.

Q3. Is machine learning engineer a good career?
Ans: Machine learning is one of the new topics and is part of data science. Judging by the high salaries data science jobs attract and the opportunity to work with various new technology that will shape the future, a career in machine learning is interesting,unique and fullfiling.

Q4. What are the AI and ML starting salaries in India?
Ans: Various top level companies with high level of research and development departments in India offer large salaries ranging from Rs 15,00,000 – Rs 20,00,000 per year. However, to attract these kinds of numbers, one must have significant experience and knowledge.