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The emergence of major disruptive technologies such as artificial intelligence, big data, computer vision and many more have introduced some lucrative machine learning jobs for aspiring machine learning engineers, machine learning specialists, etc. Some eminent companies have started posting machine learning jobs in August to apply as soon as possible. There is tough competition in the recruitment process due to its high demand. Thus, let's go through some of the top machine learning jobs to apply for in August with Analytics Insight.
Location: Bengaluru
Responsibilities: The machine learning engineer should help in designing and building cutting-edge AI solutions with AI and machine learning techniques through NLP, computer vision and deep learning. The candidate needs to uncover product features by working with product managers while diving into natural language, time series, image data, etc. It is essential to experiment with multiple machine learning models and figure out how to implement them as microservices in cloud-based architectures. There is a need to define project deliverables and the tasks to deliver while mentoring junior engineers simultaneously.
Qualifications: The candidate must have an M.S. or PhD in Computer Science, Electrical Engineering, or any other relevant science fields with more than three years of full-time engineering experience in agile development. There should be expertise in one or more object-oriented languages like Python, Go, Java, C++, etc. with sufficient knowledge of machine learning, machine learning domain, production services, distributed storage, database systems like SQL and NoSQL and Cassandra. The candidate must have hands-on experience in machine learning libraries such as TensorFlow, Caffe, and many more with developing complex software systems and stream processing.
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Location: Mumbai
Responsibilities: The Associate is required to work as a part of a team of problem-solvers, helping to solve complex business issues from strategy to execution. It is essential to invite and provide feedback in a constructive manner while sharing and collaborating effectively with other team members. The candidate needs to identify and make suggestions for improvements while managing, manipulating and analyzing real-time data. The Associate should follow risk management and compliance procedures while keeping updated with developments in the specialized area.
Qualifications: The candidate must be a graduate or post-graduate in B. Tech/M. Tech/ Masters in Economics/Statistics/Mathematics from a reputed university with two to four years of practical experience in AI and machine learning development and deployment.
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Location: Bengaluru
Responsibilities: The machine learning engineer needs to build machine learning pipelines from the beginning, architecting, and implementing low latency systems while working with large datasets. The candidate is required to run machine learning experiments scientifically, analyze the results, optimize solutions for performance, deploy solutions into productions while maintaining models for fast experiments. The machine learning engineer must own a module end-to-end to implement the latest techniques into Observe. AI Voice and NLP platforms.
Qualifications: The candidate must have a Bachelor's or Master's degree in Computer Science/Electrical Engineering from an IIT or leading research institutes with sufficient knowledge of machine learning, deep learning techniques as well as NLP. It is essential to have more than two years of practical experience in machine learning solutions, pipelines, Python, Java, NLP, NLTK, open NLP, core NLP, Scikit Learn, TensorFlow, Hadoop, Spark etc.
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Location: Bengaluru
Responsibilities: The machine learning engineer must design and develop applications to power the machine learning platform, enable machine learning Ops adoption, document best practices for seamless machine learning development, partnership as well as move projects to production. The candidate needs to identify issues faced by data and machine learning analysts, data scientists, and visualization teams by developing solutions to coordinate with data, AI, machine learning, Cloud and other organizations. It is essential to participate in transformation initiatives with prototype ideas and reduce time-to-market.
Qualifications: The candidate must have professional experience of three to seven years in developing and implementing machine learning pipelines in the big data ecosystem like Hadoop, Spark, Kafka, Cassandra, and MongoDB with proficiency in Python, Scikit-learn, Pandas, and applied statistical modelling techniques. It is essential to have a clear understanding of modern platforms, design patterns, Cloud-based technology offerings, data structures, data modelling, data analysis, and many more.
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Location: Bengaluru
Responsibilities: The AI and machine learning manager should invite and provide momentary feedback while identifying and making suggestions for further improvements. The candidate must handle, manipulate, and analyze essential information to communicate in a clear and concise manner and build an internal as well as external network.
Qualifications: There should be a minimum Bachelor's degree in Engineering with almost nine to fourteen years of practical experience with Google Cloud certifications. It is essential to have a background in Data Science with a minimum of two years of experience in designing and developing highly-available machine learning systems through Datalab, Dataprep, AI infrastructure, AutoML, CloudSQL, speech-to-text, text-to-speech, vision, Cloud NLP, predictive modelling, statistical modelling, deep learning algorithms, logistic regression, linear algebra, and many more.
Click here to apply
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