Machine Learning Jobs in Hyderabad

Last Updated : 30 Nov, 2023

Machine Learning is a relatively recent and widely used technology. This implies that many businesses require experts who understand how robots learn and make judgments. It’s all part of machine learning, whether it’s forecasting things, training computers to comprehend human language better, or teaching them to view things the way people do. Machine learning jobs are in high demand in Hyderabad, from tiny startups to large major corporations. People who are strong in machine learning are highly valued because it combines technical abilities and business expertise to develop new and unique products. So, if you appreciate developing computer rules, creating smart models, or improving system performance, machine learning jobs in Hyderabad, ensure fantastic opportunities to be part of the next big tech wave.

Machine Learning

50 Companies for Machine Learning Jobs in Hyderabad

Company	Skills and Responsibilities	Apply Link	Job Type
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
Neoastra Systems India	Design, build and maintain efficient, reusable, and reliable C++ code. Perform active research using Python to create AI models. Thorough knowledge of the standard library, STL containers, and algorithms. Good to have knowledge of SQL for MySQL, Complex Query, Stored Procedures, Triggers.	Careers	Full Time
Mirafra Technologies	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
3LOQ	2-4 years of experience as a Machine Learning Engineer, with a focus on generative AI models and graph neural networks. Proficiency in working with deep learning frameworks such as TensorFlow or PyTorch. Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define project goals and requirements. Apply expertise in graph neural networks to develop, optimize, and implement graph-based models such as Variational Graph Autoencoders (VGAE).	Careers	Full Time
Advanced Micro Devices	Experience in a field associated with machine learning algorithms and frameworks Expertise with Deep Neural Network architectures like CNN, RNN etc. Expertise with AI framework like Pytorch, Tensorflow, Caffe, etc. Experience with standard machine learning Models such as RestNet, Transformer, SSD, BERT, DLRM and Reinforcement Learning.	Careers	Full Time
Mindpeers	Proficiency in ML/DNN in scikit, TensorFlow, PyTorch, or similar frameworks. Proficiency in numerical and scientific libraries like numPy, scikit, and Pandas Excellent coding, documentation, version control, and testing skills in Python Strong data visualization skills	Careers	Full Time
Open Insights	Coding and programming languages, including Python, R, SQL, Java, and Scala. Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture Build machine learning infrastructure and productionize models Automate feature extraction and machine learning workflows	Careers	Full Time
Enable Data Incorporated	10+ years doing data science work Experience using automation to re-train and deploy a range of ML models. Strong experience with machine learning technologies Strong understanding of cloud computing platforms	Careers	Full Time
Valuelabs	Design and implement scalable data pipelines and infrastructure using Golang to support machine learning workflows. Monitor and evaluate model performance, making necessary adjustments as needed. Experience with building and maintaining scalable data pipelines using tools like Apache Kafka, Apache Spark, or similar. Proficiency in SQL and working knowledge of relational and NoSQL databases.	Careers	Full Time
Genesys	Seeking problem solvers with 3+ years of industry experience for collaborative work on next-gen platforms, focusing on microservices and event-driven architectures. Responsibilities include designing and delivering NLP models, coding for AI Platform Services, and ensuring system performance and security. Qualifications require strong Python skills, expertise in ML frameworks (Tensorflow, PyTorch, HuggingFace), and experience with REST APIs. Desirable skills encompass Cloud fundamentals (preferably AWS), familiarity with web/microservices frameworks, and a proactive approach to staying updated on CX and AI trends.	Careers	Full Time
ShyftLabs	Exploring and visualizing data to understand it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas	Careers	Full Time
Capgemini	5+ years experience with Linux skills, python, C++, and machine learning principles Exposure to Deep Learning frameworks, such as, PyTorch, TensorFlow etc – 2 years experience Experience working with Cloud (AWS, Azure, GCP etc.) – 2 years experience Personality and Working Practice: motivating attitude, profound communication, strong interpersonal skills, structured and analytical.	Careers	Full Time
Kynea Solutions Llp	Proven experience of working with Generative AI models, such as GANs, VAEs, or Transformers Strong proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Keras Expertise in data preprocessing, model training, and hyperparameter tuning Proficiency in at least one programming language, such as Python	Careers	Full Time
Spotflock Technologies	Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability	Careers	Full Time
Thoughtsphere	Experience packaging and deploying docker based applications on Kubernetes Experience working on any Cloud (Google, AWS or Azure) stack Experience with build and CI/CD systems Experience designing fluent API endpoints	Careers	Full Time
TRC Companies	Good to have certification in AI/ML. Good knowledge on deep learning techniques. Knowledge of basic python programming. Good to have internship experience from any recognized organization	Careers	Full Time
Kuku FM	Strong proficiency in Python, good knowledge of SQL, hands on Tensorflow is big plus Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark Depth and hands-on experience in applying ML/DL, statistical techniques to business problems Experience working with software engineers and familiarity with SDLC	Careers	Full Time
nslhub	Good knowledge of MySQL, NOSQL, MariaDB Enterprise and Cloud Database databases. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. You possess strong knowledge of Python and Spark. Expertise in Machine Learning, Math / Statistics, Big Data, Data Modeling / Statistical Modeling, Deep Learning, Extraction, Transformation & Load, NLP and Predictive modeling is desired.	Careers	Full Time
Vichara Technologies	4+ years of experience in Open AI, LLM, ChatGPT, Python, Tensorflow. Experience with Decision Tree, Random Forest classification and NLP based Tokenization. Experience with Azure or AWS is must. Design and develop capabilities related to Virtual Assistants, search and recommendation engines for investment domain as well as enterprise solutions with LLMs	Careers	Full Time
Service Now Planet	A Bachelor’s degree and 2+ years of related experience; or an advanced degree Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms Experience building new products that use challenging algorithms Expertise in coding efficient, object-oriented, modularized and quality software	Careers	Full Time
Zessta Software Services	Ability to write robust code in Python, R and Java. Knowledge of C Embedded programming is preferred. Familiarity with machine learning frameworks and libraries Proficiency with a deep learning framework such as TensorFlow or Keras.	Careers	Full Time
Workfusion	Solid understanding of design patterns and OOP Working knowledge of Databases and SQL Good understanding of RESTful web services Integrate RPA and Machine Learning solutions into client s pipeline	Careers	Full Time
Pragma Edge Software Services	Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Proficiency with a deep learning framework such as Hugging face, TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in visualizing and manipulating big datasets	Careers	Full Time
Agiloft	Collaborate with cross-functional teams on the development of new features on the Agiloft platform. Experience building machine learning services with public cloud providers, such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure Successful track record of collaboration with distributed teams of both technical and non-technical individuals. At least 3 years of experience working in data science teams.	Careers	Full Time
Tiger Analytics	Engage with clients to understand their business context. Translate business problems and technical constraints into technical requirements for the desired analytics solution. Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. Working knowledge of Databases and SQL	Careers	Full Time
Synopsys	Prior exposure to AI/ML workflows and tools Knowledge and/or exposure to cloud computing technologies like containerization platforms Experience with standard machine learning frameworks and tools and machine learning cloud infrastructure and accelerators. Design and implement machine learning models and algorithms for Generative AI and Deep Learning applications.	Careers	Full Time
Bayer	Build AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms Experience building new products that use challenging algorithms Expertise in coding efficient, object-oriented, modularized and quality software	Careers	Full Time
Collective S	Ability to write robust code in Python, R and Java. Knowledge of C Embedded programming is preferred. Familiarity with machine learning frameworks and libraries Proficiency with a deep learning framework.	Careers	Full Time
Ceremorphic Inc	Experience working with high level machine learning frameworks (Tensorflow,PyTorch,MXNet) Experience with the deep learning compiler space (ONNC,TVM,XLA,etc) is a huge plus Knowledge on OpenCL programming experience is preferable Experience with the following technologies: deep learning models and algorithms,deep learning framework design,high performance compiler design	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. Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.	Careers	Full Time
Quantium Analytics	Ability to build MLOps pipelines Ability to design and implement solutions in GCP Experience in Kubeflow Pipelines platform for building and deploying portable, scalable machine learning (ML) workflows Take models data scientists build and turn them into a real machine learning production system	Careers	Full Time
Castlight Health	Design and implement modules, pipelines and algorithms related to machine learning Proficient in one OOP and one interpretive/script language. Experience with Python and/or Java a major plus Experience with Google Cloud Platform where you can use Cloud ML Engine to train machine learning models in TensorFlow	Careers	Full Time
Tech Mahindra	Strong understanding of AI/ML concepts and techniques. Proficiency in programming languages such as Python, with hands-on experience in AI/ML libraries and frameworks. Good understanding on model deployment, design and architecture. Familiarity with at least one cloud platform / hyper-scaler.	Careers	Full Time
Kore.ai	Hands-on experience in more than one major programming language (C/ C++ must have) Experience with code/memory optimizations, concurrency and multi-threading. Good understanding of parallel algorithm development. Design, implement, optimize and debug software modules that run and deploy DL models.	Careers	Full Time
AppsTek Corp	2+ years’ experience working as ML Engineer Knowledge of R, SQL, and Python Experience in data mining Understanding of machine-learning concepts of supervised, unsupervised, reinforcement learning and statistical modeling	Careers	Full Time
DeepEdge	Coding and programming languages, including Python, R, SQL, Java, and Scala. Extensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture Build machine learning infrastructure and productionize models Automate feature extraction and machine learning workflows.	Careers	Full Time
Wellpoint IT Solutions	Work with feature stores, distributed model training and productionising the pre-processing, training and monitoring of models 10+ years of experience. 9 to 15 yrs of commercial experience with Python, and a strong focus on AI or Machine Learning Experience of productionising.	Careers	Full Time
Feuji	Work across client teams to develop and architect Generative AI solutions using ML and GenAI Understanding of technological risks and the ability to assess and mitigate them. Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context Experience with debugging and troubleshooting software or solutions design issues.	Careers	Full Time
Epiq Systems Inc.	Conducting ad-hoc analysis to answer specific business questions. Identify and evaluate new technologies to improve performance, maintainability, and reliability of existing machine learning systems. Proficiency in working with deep learning frameworks like TensorFlow, PyTorch, scikit-learn, etc. 5+ years of experience in AI/ML implementation, Data and Full Stack Software development area.	Careers	Full Time
Truedge Software Solutions	Proven industry experience in Python programming (Preferred) Passion coupled with knowledge of ML/AI Models (Nice to have) Exposure and experience with AI/ML libraries/toolkits. Willing to research, ideate and implement practical solutions	Careers	Full Time
ZAZZ	Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as sci-kit-learn and pandas	Careers	Full Time
S&P Global	Assist in deploying machine learning models into production environments. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. Proficient programming skills at a high-level language (e.g. Java, Scala, Python, C/C++, Perl, R Solid knowledge of at least one machine learning research frameworks	Careers	Full Time
Virtue Software Technologies	Design and implement machine learning models and algorithms to solve complex business problems. Strong programming skills in languages such as Python, R, or similar for data analysis and modeling. Experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, scikit- learn, etc. Familiarity with BI tools such as Tableau, Power BI, or similar for data visualization.	Careers	Full Time
Qualcomm	Strong understanding of Deep Learning and Machine learning theory and practice. Experience with Deep learning model development. Strong development skills in Python and C++. Experience with at least one machine learning framework.	Careers	Full Time
Zessta	Designing and developing machine learning and deep learning systems according to the requirements. Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Ability to write robust code in Python, R and Java. Proficiency with a deep learning framework such as TensorFlow or Keras.	Careers	Full Time
Qubit ai	Previous experience with AI/ML algorithm design and training. Experience with machine vision. Development of applications for Linux-based targets. User interface design and implementation.	Careers	Full Time
Atai Labs	Experience in TensorFlow and Keras Proficient in Python language Experience in GPU acceleration and system design skills for efficient machine learning pipeline Strong foundation in software engineering with top-notch skills in design patterns, code optimization and debugging.	Careers	Full Time
Outreach.io	Experience working with distributed data processing frameworks. Strong programming skills in at least one object-oriented programming language. Know lifecycle of machine learning product development, from inception to production. Design and implement robust and scalable data / ML infrastructure that impacts the whole product and engineering organization.	Careers	Full Time
Unify Technologies	Design, Develop, and Deploy Machine Learning (ML) models. Checking data from every stage and every base for assigned deployments Ability to write robust code in Python, R and Java. Proficiency with a deep learning framework such as TensorFlow or Keras.	Careers	Full Time
Fission Labs	Design and develop AI models and algorithms using machine learning techniques and tools, with a focus on NLP. Work with large datasets, including cleaning, preprocessing, and transforming data to ensure its quality and relevance. 4 to 10 years of experience in building AI models with NLP and data engineering. Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.	Careers	Full Time

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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 ₹ 18.0 Lakhs in India but In Hyderabad, it is 9.1 Lakhs. To know more about the salary of other places and based on experience and skill sets.

FAQs

Q1.Is machine learning high paying job?
Ans: Numerous job titles in machine learning command six-figure incomes, making it one of the highest-paying professions in the technology sector. Machine Learning Engineer, Data Scientist, Research Scientist, and Artificial Intelligence (AI) Architect are among the highest-paid machine learning job titles.

Q2.Can a fresher get a job in machine learning?
Ans: Junior machine learning engineers usually land their job after earning a degree in computer science or mathematics. Companies also consider candidates who have completed machine learning bootcamps. You need to have a strong foundational understanding of a few areas of mathematics to work as a machine learning engineer.

Q3. Is machine learning hard to get a job?
Ans: It’s no secret that machine learning (“ML”) and artificial intelligence (“AI”) are making their way into almost every industry. But despite this rise in jobs, it’s still hard to get hired!

Q4. What is the future of ML?
Ans: Machine learning will have a profound impact on a wide variety of fields, including automation, healthcare, natural language processing, transportation, personalized experiences, cybersecurity, and science. By enabling automation, machine learning will improve healthcare through customized treatments and diagnoses.