Machine Learning Engineer Jobs in Mumbai

Last Updated : 03 May, 2024

Machine learning engineer is the most demandable job in modern days. In this AI technology era, machine learning engineering is crucial and useful. The career growing opportunity in this machine learning engineer position is too high. In this article, we have created a list of companies hiring for the role of machine learning engineer in Mumbai.

Companies Hiring Machine Learning Engineers

DeepAffects

Requirements:

Good understanding of Classical Machine Learning and Deep Learning concepts and algorithms.
Familiar with literature review either in academia or industry.
Excellent in at least one programming language such as Python, C, C++, Java, etc.
Expert in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano.
Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics is required

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Quantiphi Inc.

Requirements:

Passionate about machine learning and deep learning.
Knowledge of understanding the importance and know-how of taking the machine-learning-based solution to the consumer.
Demonstrated experience with statistical, machine-learning tools and techniques
Good exposure to Deep learning libraries like Tensorflow, PyTorch.
Excellent experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
Ability to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
Strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
Expertise level coding experience in Python.
Technologies: Backend – Python (Programming Language)

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Tamcherry

Requirements:

Demonstrated experience as a ML Engineer – AI/ML not data scientist or data analyst
Ability to write robust code in Python for machine learning solutions
Experience in AI solution development with external SaaS
Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn
Experience using the cognitive APIs machine learning studios on cloud
Up to speed on NLP (Summarization, Translation models, Named Entity Recognition),
Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN)
Understanding of complete AI/ML project life cycle
Understanding of data structures, data modelling and software architecture
Minimum 1- Maximum 3 year experience as ML Engineer on AI and ML projects.
Education – Master’s in Information Technology/big data/data science/AI/Computer Science.

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Tekolutions.ai

Requirements:

Proven experience as a Machine Learning Engineer or similar role.• Understanding of data structures, data modeling, and software architecture.• Deep knowledge of maths, probability, statistics, and algorithms.• Ability to write robust code in Python, Java, and R.• Familiarity with machine learning frameworks (like Tensorflow or Keras or PyTorch) and libraries (like sci-kit-learn).• Excellent communication skills.• Ability to work in a team.• Outstanding analytical and problem-solving skills

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Boyen Haddin Consultants LLP

Requirements:

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
Experience with data visualization tools, such as D3.js, GGplot,
Proficiency in using query languages such as SQL, Hive, Pig
Skills: AI data science Machine learning MatLab NumPy Weka

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TIFIN

Requirements:

Experience with training and fine-tuning machine learning models on large text datasets.
Strong computer science fundamentals and 3+ years of software development experience.
Track record of thinking big and finding simple solutions while dealing with ambiguity.
Proven experience as a Natural Language Processing Engineer or other similar roles.
Good understanding of Natural Language Processing tricks and techniques for semantic extraction, data structure, and modeling.
Understanding of text representation techniques, algorithms, and statistics Familiarity with R language, Python, and Java.
Good knowledge of Machine Learning frameworks such as eras, PyTorch, etc.• Ability to code and design software architectures.
Problem-solving abilities, communication skills, and analytical mind

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Tata Consultancy services (TCS)

Requirements:

Overall 4-7 years experience in related field
Proficiency in SQL for data querying and manipulation• Strong understanding of machine learning algorithms and concepts (supervised learning, unsupervised learning, deep learning)
Experience with NLP techniques
Basic understanding of Linux operating systems
Design, develop and implement machine learning models using python libraries like scikit-learn, tensorflow.
Preprocess and clean data for model training and evaluation.
Conduct exploratory data analysis to understand data characteristics and identify potential features.
Develop and deploy machine learning pipelines

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SIlverPeople Consulting

Requirements:

Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master’s degree in relevant specification will be first preference
Experience of machine learning algorithms and libraries
Understanding of data structures, data modeling and software architecture.
Deep knowledge of math, probability, statistics and algorithms
Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
Big data environment: Hadoop, Spark
Programming languages: Python, R, PySpark

Apply here: Careers.

LenDenClub

Requirements:

Expert user of Python- Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep Learning / Machine Learning
Experience in implementing object detection, GAN’s.- Knowledge of reinforcement learning is a plus.
Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) is a must- Experience with Data Visualization tools like Tableau, Microsoft Power BI and SiSense- Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime-
Strong business acumen to understand business objectives & dynamics and possess excellent written and verbal communication skills for coordinating across teams-
Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.- Experience in machine learning, supervised and unsupervised : Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.- Strong problem solving skills

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TAC Security

Requirements:

Programming: Python• Technology: Data Science, Deep Learning, ML, Data Analytics, Data Visualization.
Database: MySQL• Other tools and Packages: Matplotlib, Seaborn, MySQL-Python, Scikit-Learn, Flask
Big Data Framework: Hadoop, Spark

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Fynd

Requirements:

2+ years of experience implementing and deploying machine learning and deep learning frameworks through distribution cluster and application programming in cloud platforms including AWS and GCP.
Basic Knowledge of tools/libraries such as TensorFlow, PyTorch, Keras, NumPy, pandas, etc.
Strong understanding of data structures and algorithms and experience in Python. Some experience with computer vision(classification, segmentation, object detection) pipelines.
Deep experience across systems integration, information management, data management and architecture, and business analytics.
Language: Python, Java, Scala, Unix bash script, REST API process

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UnFound

Requirements:

Demonstrable background in machine learning, especially NLP, information retrieval, etc.
Hands on with popular data science frameworks- Python, Jupyter, TensorFlow, PyTorch.
Implementation ready background in deep learning techniques like word embeddings, CNN, RNN/LSTM, etc.
Experience with productionizing machine learning solutions, especially ML powered mobile/ web-apps/ BOTs.
Hands on experience on AWS, and other cloud platforms. GPU experience is strongly preferred.
Thorough understanding of back-end concepts, and databases (SQL, Postgres, NoSQL, etc.)
Good Kaggle (or similar) scores, MOOC (Udacity, Coursera, fast.ai, etc.) preferred

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Viser Solutions

Requirements:

Minimum 3+ Experience in machine learning techniques for addressing various problems (e.g. transaction categorization, revenue forecasting, image classification, text extraction, anomaly detection etc.)
Experience with machine learning algorithms (e.g. k-nearest neighbours, random forests, ensemble methods, deep neural networks, SVM, etc.) and when it is appropriate to use each technique.
Building machine learning models and systems, interpreting their output and communicating the results
Proven strong problem-solving skills with an emphasis on analytical/machine learning product development.
Experience in Python and Data science libraries like Keras, Tensor Flow, Pytorch, Scikit Learn. Numpy, Pandas
Experience in Visualization libraries using Python (Matplotlib, Seaborn, bokeh, etc.), JavaScript (d3) or PowerBI
Experience in Data Storage & Processing technologies, including SQL, NoSQL, Hadoop, Postgres, Spark
Experience in NLP
Strong focus on fast and incremental value delivery
Ability to work alone and have an ownership mentality
We are polyglots, so a willingness to learn new technologies is a must.

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IDFC FIRST Bank Limited

Requirements:

Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)
Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)
Experience: 2 to 5 years

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Analytics Vidhya

Requirements:

Overall 4-5 years of experience on timesjob.com

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Anicalls

Requirements:

Experience in a cloud-based containerized environment such as Docker, Kubernetes, and serverless computing
Experience with cloud provided services in Google Cloud Platform / AWS, or another major cloud vendor
Prior experience in CI / CD pipelines and a major version control platform (GitHub, GitLab, ADO)
Experience with monitoring solutions at scale (Grafana / Prometheus, DataDog, ELK, or another major monitoring stack)
Experience in programming and frameworks such as Python, R, SQL, REST APIs, and JSON
Experience deploying with Terraform preferred

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Gray Matrix

Requirements:

Experience : 2-5 years

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Confidential

Requirements:

Expertise in LLM, General AI, and the deployment of AI models.
Strong experience in API development with Flask, FastAPI, or Django.
Knowledge of Langchain and LlamaIndex for LLM applications.
Expertise in AI and ML development tools, frameworks, and libraries (TensorFlow, PyTorch, GPT, etc.).
Proven ability in data engineering, including managing data pipelines, databases, and real-time data processing systems.
Proficient in Python and familiar with AI/ML libraries and frameworks.
Innovative thinker with excellent problem-solving capabilities.
BSc/BA in Computer Science, Engineering, or related; a graduate degree in a relevant area is highly preferred

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Accrete.AI

Requirements:

Bachelor’s or master’s degree in computer science, Information Technology, or a related field 8+ years of experience in data engineering or a related field.
Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent.
Experience in MLOps tools like MLFlow, and AWS Sagemaker
Strong software engineering skills in complex, multi-language systems Fluency in Python.
Experience working with cloud computing and database systems.
Experience building custom integrations between cloud-based systems using APIs.
Experience developing and maintaining ML systems built with open-source tools.
Experience developing with containers and Kubernetes in cloud computing environments.
Ability to translate business needs to technical requirements.
Strong understanding of software testing, benchmarking, and continuous integration.
Exposure to machine learning methodology and best practices.
7-12 Years experience working with Cloud Platforms (i. e., Microsoft Azure, AWS, GCP) Python, Databricks / Hadoop, ML OPS.

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General Mills

Requirements:

Minimum one year experience in related field
Exposure to machine learning methodology and best practices.
Experience working with cloud computing and database systems.

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Qrata

Requirements:

4 or more years of experience in ML Engineering
Proven experience in NLP
Familiarity with language generative model – GPT3
Ability to write robust code in Python
Familiarity with ML frameworks and libraries
Hands on experience with AWS services like Sagemaker and Personalize
Exposure to state of the art techniques in ML and NLP
Understanding of data structures, data modeling, and software architecture
Outstanding analytical and problem-solving skills
Team player, an ability to work cooperatively with the other engineers.
Ability to make quick decisions in high-pressure environments with limited information

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Mactores

Requirements:

Hands-on exposure in data modeling, data visualization, and pipeline design and development
Good exposure to Machine learning concepts like supervised learning, unsupervised learning, RNN, DNN.
Prior experience working with business stakeholders, in an enterprise space is a plus
Outstanding communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
Ability to work independently and take ownership of the tasks projects end to end, strong analytical skills.

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Myways

Requirements:

Proficiency in DevOps practices, CI/CD pipelines, version control systems (e.g., GitHub), and automation using tools like GitHub Actions and YAML.Experience with infrastructure as code tools such as Terraform for provisioning and managing cloud resources.
Expertise in containerization technologies like Docker and orchestration tools like Kubernetes for deploying and managing applications.Knowledge of monitoring and observability tools such as Prometheus, Grafana, and ELK stack for tracking performance metrics and logs.
Familiarity with machine learning concepts and the ability to work closely with data scientists to operationalize models effectively.
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Education :Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Total work experience: 5 years (Required)

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Prodigal

Requirements:

Extensive experience (4-5 years) in software development, with a focus on machine learning and data science in a tech company.
Experience training and using Large Language Models (BERT, LLAMA, GPT etc) with a passion for applying Generative AI solutions in production environments.

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Botminds AI

Requirements:

Problem-solver with excellent critical thinking skills.
Experienced in ML, Deep Learning, and LLMs.
Proficient in Python and familiar with transformer models (BERT, GPT, Roberta, etc. ).
Knowledgeable in ML frameworks and MLOps infrastructure.
2-5 years of AI/ML experience in the software industry.
Experience with Git, Docker, and Kubernetes.
Background in large-scale ML applications and LangChain pipelines

Apply here: Careers

Job Portals

Salary of Machine Learning Engineer

The average salary of a machine learning engineer is ₹9.2 lakhs with ranges from ₹4.8 lakhs to ₹18.9 lakhs.

Experience Wise salary trend

Experience	Salary
Entry level ( 1- 3 years)	₹ 6.9 lakhs
Mid level ( 3-5 years)	₹ 9.2 lakhs
Higher level ( 5+ years)	₹ 14.5 lakhs