Machine Learning Jobs in Pune

Machine learning is a branch of artificial intelligence that lets systems learn and improve without explicit programming. Pune is a major player in ML’s impact on various industries. In Pune, ML engineers connect data scientists with business users, needing skills in Python, R, TensorFlow, PyTorch, and sci-kit-learn, plus communication and problem-solving.

Pune’s lively ML community shares knowledge through meetups and conferences. The city’s demand for ML experts is growing with increased tech adoption. Pune’s strong talent pool and favorable business environment make it a hub for ongoing innovation, offering great opportunities for professional growth in the flourishing ML scene.

50 Companies for Machine Learning Jobs in Pune

Company Name	Skills and Responsibilities	Apply Link	Employment Type
NVIDIA	3+ years in artificial intelligence data science, machine learning, or related fields. Proficiency in Python, CUDA C/C++, and machine learning libraries like PyTorch and TensorRT. Experience with Text-to-Image models such as Stable Diffusion. Experience with Docker containers and Triton Inference Server.	Careers	Full Time
Quest Global	Experience with a variety of programming languages and frameworks, including Python, R, and Scala. 8+ years of experience in machine learning and data science Lead and mentor a team of machine learning and data science engineers Develop and deploy machine learning models	Careers	Full Time
Mondelez	Strong quantitative skillset with experience in statistics and linear algebra. A natural inclination toward solving complex problems Knowledge/experience with statistical programming languages process data and gain insights from it Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons	Careers	Full Time
Mindpeers	Educational background in Computer Science, Statistics, Mathematics, or a related quantitative field With 2 years of professional industry experience in Machine Learning Engineering Expertise in machine learning, deep learning, ethical data science, natural language processing, and statistical modeling Proficiency in ML/DNN in scikit, TensorFlow, PyTorch, or similar frameworks.	Careers	Full Time
Open Insights	Advanced degree in computer science, math, statistics, or a related degree Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture Ability to design and implement cloud-based solutions and scalable data pipelines Strong analytical, problem-solving and teamwork skills	Careers	Full Time
IDC Technologies	Bachelors or masters degree in computer science or related field 5+ years of experience in Software development with a strong background on ML/DL Proven experience on image processing libraries(OpenCV, Scipy , dlib ) Expertise in machine learning frameworks/libraries (TensorFlow, PyTorch and scikit-learn)	Careers	Full Time
Innowise	Apply fundamental data science and AI/ML technologies (e.g. Python Sklearn) Collaborate and work with AI team to execute the assigned project / tasks. Present project plans and progress regularly to team (incl meaningful KPIs) under the guidance of his / her manager. High personal affinity to IT topics, namely data science, machine learning and / or artificial intelligence.	Careers	Full Time
Wipro	Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proven experience in developing AI/ML solutions with Azure OpenAI. In-depth knowledge of Gen AI technologies and applications. Working experience with the ServiceNow platform.	Careers	Full Time
Vertscend Automation	Develop back end component Good Analytical and Design skills like Django, flask, Server-side programming Able to use python packages like ( NumPy, MatPloid, Scikit Learn) Skills: Core Python, Web frame works, Machine Learning and AI, Django	Careers	Full Time
TAC Security	Technology: Data Science, Deep Learning, ML, Data Analytics, Data Visualization. Other tools and Packages: Matplotlib, Seaborn, MySQL-Python, Scikit-Learn, Flask Identifying design alternatives, questions, and tradeoffs Identifying gaps, problems, and weaknesses in software solutions by performing code and design reviews	Careers	Full Time
Cks Global Ventures	The ideal candidate will be able to apply predictive models and must possess strong software skills, expert mathematical skills, and strong analytical skills Experience on Anaconda Enterprise platform. Experience is build deploy machine-learning models at scale on Kubernetes or equivalent. Experience in building distributed deep learning models leveraging GPUs.		Full Time
Skylark Labs	Bachelors or Masters degree in Computer Science, Machine Learning, or a related field 2+ years of experience as a machine learning engineer, with a strong focus on video surveillance systems and threat prediction Strong coding skills, including proficiency in Python and at least one machine learning framework (e.g. TensorFlow, PyTorch) Experience with data preprocessing, feature engineering, and model selection	Careers	Full Time
Level AI	Deep familiarity with internals of at least a few Machine Learning algorithms and concepts. Experience with Python and a Deep Learning framework like Pytorch/Tensorflow. Knowledge of basic Data Structures and Algorithms Understand customers needs and innovate and use cutting edge Machine Learning techniques to build data-driven solutions.	Careers	Full Time
Thoughtsphere	Significant experience with Python at a SaaS company, or ability to quickly learn industrial Python Familiarity with modern machine learning and natural language processing techniques and frameworks Ability to work and prioritize autonomously in a fast-moving, distributed work environment Ability to design infrastructure, standards, and code interfaces that garner wide organic adoption among a group of elite software engineers	Careers	Full Time
Kuku FM	Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles Strong proficiency in Python, good knowledge of SQL, hands on Tensorflow Leverage your strong ML/DL/Statistics background to build new and next generation of ML meth Develop prototypes, proof of concepts, algorithms, predictive models and custom analysis	Careers	Full Time
Apollo.io	Attentive to our customers needs and strive to deliver a seamless and delightful customer experience Able to up-level the team by sharing knowledge and best practices with the engineering team Able to prioritise for impact and move fast to deliver experiments and features to achieve customer value Organised and able to effectively plan and breakdown large projects into smaller tasks that are easier to estimate and deliver.	Careers	Full Time
Acclivis Technologies	Perform statistical analysis and fine-tuning using test results Develop machine learning applications according to requirements Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms	Careers	Full Time
TrueData	2 – 5 years work experience and minimum of 1 year experience in Machine learning and AI AI/Deep Learning Engineer with expertise in image processing, neural networks, and deep learning frameworks. Looking for NLP Engineer experienced with Microsoft Azure ML, chat bot frameworks, and open-source NLP libraries Required Speech Recognition Engineer with knowledge of Wavenet, deep speech libraries, machine learning, linguistic phonetics, and audio processing.	Careers	Full Time
Vichara Technologies	Design and develop capabilities related to Virtual Assistants, search and recommendation engines for investment domain as well as enterprise solutions with LLMs Develop AI based solution to Automate data extraction and processing of financial data 4+ years of experience in Open AI, LLM, ChatGPT, Python, Tensorflow. Experience with Decision Tree, Random Forest classification and NLP based Tokenization.	Careers	Full Time
Ankercloud	Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring, analyzing and visualizing data to gain an understanding of it. Experience in Data Wrangling and PySpark Experience with containerizing applications using Docker	Careers	Full Time
ConnectWise	Develop and implement groundbreaking ML models to drive business growth. Collaborate with Product Owners to translate business needs into machine learning problem statements. Partner with DevOps, MLOps, and Data Engineering to deploy and monitor ML models in production. Spread Machine Learning knowledge across teams and mentor colleagues.	Careers	Full Time
Pattern Technologies	Build and maintain large-scale ML infrastructure and pipelines in AWS Sagemaker. Optimize ML models in efficiency, time, and accuracy through improved infrastructure and model selection. Best-in-class skills in Python Multiple years of experience managing machine learning projects using AWS Sagemaker infrastructure	Careers	Full Time
Symbl.ai	Design, train and improve upon cutting-edge models Develop new techniques to train and serve models safer, better, and faster Proficiency with optimized serving frameworks such as TF-Serving, Triton, Pytorch Serving Model optimization frameworks such as TensorRT, JAX, DeepSpeed, FasterTransformers, and XLA/MLIR	Careers	Full Time
whiz.ai	Hands-on Deep Learning and NLP application experience Knowledge of Analytical/OLAP/Columnar, Hadoop Ecosystem and NoSQL databases Understand and analyze requirements requiring Machine Learning Models from Product Owners, Customers, and Other Stakeholders Augment Enterprise data with publicly available datasets to enrich models features	Careers	Full Time
Agiloft	Work with engineers, product managers, and data scientists to develop solutions that empower customers to make data-driven decisions quickly and confidently. Partner with cross-functional teams to create new features for the Agiloft platform. At least 3 years of experience working in data science teams. Fluent in Python	Careers	Full Time
Searce	Defining data augmentation pipelines Training models and tuning their hyper-parameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production	Careers	Full Time
PubMatic	3+ years of coding experience in building backend solutions in python. Solidcomputer sciencefundamentals including data structureand algorithm Perform code and design reviews. Demonstrate ownership and commitment.	Careers	Full Time
Airo Digital Labs	Write efficient and well-organized software to ship products in an iterative, continual-release environment. Contribute to and promote good software engineering practices across the team Knowledge sharing with the team to adopt best practices. Actively contribute to and re-use community best practices.	Careers	Full Time
Infocusp Innovations Llp	Knowledge of machine learning libraries Tensorflow, Jax, Keras, Scikit-learn, PyTorch. Excellent mathematical skills and background Designing and programming machine learning methods and integrating them into our ML framework/pipeline. Evaluating and validating the analysis with statistical methods.	Careers	Full Time
Wolters Kluwer	Develop predictive models using supervised and unsupervised machine learning/deep learning Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch Experience in applying deep learning to NLP	Careers	Full Time
Gibots	Study and transform data science prototypes Design machine learning systems Understanding of data structures, data modeling, and software architecture Deep knowledge of maths, probability, statistics, and algorithms	Careers	Full Time
Cybage	Should be able to Study and transform data science prototypes Research and implement appropriate ML algorithms. Experience in NLP algorithm of classification, word embedding, word2vec etc. Experience or knowledge on Python and Java.	Careers	Full Time
Houghton Mifflin Harcourt	Perform in-depth data analysis and transformation for machine learning models. Source, curate, and integrate external datasets for model training and evaluation. Strong understanding of machine learning concepts and their application to data engineering. Expertise in programming languages such as Python, SQL, and Java.	Careers	Full Time
CloudMoyo	Design and execute proof-of-concept projects that can demonstrate business value and build confidence with clients. Designing and delivering data visualizations that utilize the ML models to generate insights Knowledge of deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs) Knowledge of Machine Learning (Regression, Random Forests, SVMs K-means, ensemble methods)	Careers	Full Time
LTI Mindtree	Experience in developing ML infrastructure in the Cloud using AWS Sagemaker. Experience working with machine learning models with respect to deployment, inference, tuning, and measurement required. Strong knowledge of developing highly scalable distributed systems using Open-source technologies. Solid experience in Agile methodologies (Kanban and SCRUM	Careers	Full Time
Mindstix	Build outstanding domain-focused data solutions with internal teams, business analysts, and stakeholders. Apply AI/ML practices and standards to develop robust and maintainable solutions. Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases A natural problem-solver and intellectually curious across a breadth of industries and topics	Careers	Full Time
Cube Hub Inc.	Develop and deploy machine learning models for various applications Collaborate with cross-functional teams to define business problems and formulate appropriate experiments. Lead the design, execution, and analysis of experiments to optimize various aspects of our business. Evaluate the effectiveness and impact of machine learning models and experiments.	Careers	Full Time
Avegen India Pvt. Ltd.	Frame ML / AI use cases that can improve the company’s product Implement and develop ML / AI / Data driven rule based algorithms as software items Knowledge of basic Machine Learning / Deep Learning / AI algorithms and ability to implement them Good understanding of SDLC	Careers	Full Time
Zinrelo	Works on complex systems critical to company’s current and future operations Debugs production issues across services and multiple levels of the stack Participates in the testing process through test review and analysis, test witnessing, and certification of software Assists with shaping architectural visions and long-term roadmaps for the organization	Careers	Full Time
Persistent Systems	Verify data quality, and / or ensure it via data cleaning Define validation strategies Train models and tune their hyperparameters Find available datasets online that could be used for training	Careers	Full Time
Mastercard	Drive the evolution of Data & Services products/platforms with an impact-focused on data science and engineering Clean and structured data sets fed to downstream analytics Escalate technical errors or bugs detected in project work Maintain awareness of relevant technical and product trends through self-learning/study, training classes, and job shadowing.	Careers	Full Time
Ignite Solutions	Hands-on knowledge of data formats, data extraction, loading, wrangling, transformation, pre-processing and analysis. Thorough understanding of data-modeling and machine-learning concepts Complete understanding and ability to apply, implement and adapt standard implementations of machine learning algorithms Good understanding and ability to apply and adapt Neural Networks and Deep Learning, including common high-level Deep Learning architectures like CNNs and RNNs	Careers	Full Time
Poshmark	Build tools and infrastructure to democratize ML Productionizing ML models in collaboration with the Data Science and other Engineering teams. 2-3 years of relevant software engineering experience with data intensive applications Good understanding of spark and sql and prior experience with writing backend apis	Careers	Full Time
Geekrabbit Pvt. Ltd.	Train models to provide different insights, mainly from text but also other media such as Audio and Video Validate the models trained. Fine-tune & optimise as necessary Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers Build preprocessing pipelines for the models that are bieng served as a REST API	Careers	Full Time
Proto Tech Solutions	Design and build scalable ML pipelines to serve Machine Learning models at scale. Perform ad-hoc analysis and present results in a clear manner to a wide audience and key stakeholders. Design experiments, test hypotheses, and build models. Conduct advanced data analysis and highly complex designs algorithms.	Careers	Full Time
Smart QR	Build and deploy scalable machine learning systems and solutions. Evaluate and optimize machine learning models to ensure accuracy and performance. Strong programming skills in Python, R, or similar languages. Proficiency in working with large datasets and data manipulation.	Careers	Full Time
Travitons Technologies	Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms	Careers	Full Time
AssetOne	Scientific expertise and real-world experience in deep learning. Experience in applying machine learning techniques to real-world problems in a production environment/ AWS/ Azure cloud Experience on Anaconda Enterprise platform. Experience is build & deploy machine-learning models at scale on Kubernetes or equivalent.	Careers	Full Time
Mobile Programming India Pvt. Ltd.	Demonstrated experience in Machine Learning, Deep Learning, and advanced Predictive Modeling techniques. Statistical Model Development and embedded deployment Expert skills in software architecture and good understanding of ML accelerators Relevant practical experience with selected ML tech stacks, tool chains, data collection and simulation	Careers	Full Time
Neilsoft	Designing Machine Learning systems and self-running Artificial Intelligence (AI) software to automate predictive models Research and implement appropriate ML algorithms and tools Develop Machine Learning applications according to requirements Select appropriate datasets and data representation methods	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 learningSalary ranges between ₹ 3.0 Lakhs to ₹ 14.1 Lakhs in India but In Noida, it is 7.7 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 salary of a machine learning expert in Pune?
Ans. Machine Learning Engineer salary in Pune ranges between ₹ 3.0 Lakhs to ₹ 14.1 Lakhs with an average annual salary of ₹ 7.7 Lakhs.

Q2. Are machine learning jobs in demand?
Ans. ML engineering is and will remain one of the most in-demand AI jobs. Other popular machine learning careers include data science and deep learning, robotics, AI, and NLP engineering, with excellent job prospects and development opportunities.

Q3. Which field is best for machine learning?
Ans. For a career in machine learning, you may want to start in a software engineer, software programmer, software developer, data scientist, or computer engineer role. For most machine learning careers, an undergraduate degree will not suffice.

Q4. Can I start machine learning without coding?
Ans.Traditional Machine Learning requires students to know software programming, which enables them to write machine learning algorithms. But in this groundbreaking Udemy course, you’ll learn Machine Learning without any coding whatsoever.