Location :

• Chennai
• Salem

Roles and Responsibilities :

• Candidate will be responsible for building Machine Learning/ Deep learning models for NLP, forecasting and other applications. The candidate will be responsible for converting blue sky ideas into implementation.
• Should be able to create solutions and try various algorithms to solve the problem.
• Work with the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems. Also be able to work in a R&D mode for certain open-ended problems.
• Should be able to work alongside an excellent, cross-functional team and manage teams in ensuring timely delivery.

General Requirement :

• Experience in applying machine learning techniques NLP, CV or other application areas
• Strong analytical and problem-solving skills
• Deep understanding of ML/ DL techniques such as: classification, clustering, model optimization etc.
• Solid programming/ engineering skills including but not limited to Python, C/C++.
• Proven ability to apply, debug, and develop machine learning models for real-world applications
• Ability to lead and manage a team and be comfortable with deadlines and milestones
• Strong verbal and written communication skills

Required Skillset :

• Strong programming skills in Python along with C/C++ or R, ML/ DL toolkits such as Scikit-learn, NLTK, spaCy, TensorFlow, Keras, PyTorch
• Strong experience in Engineering/ deployment tools in Cloud and other environments: AWS (Lambda, S3, SageMaker, Texteract, NoSQL etc.), Hadoop, Git, Spark MLib, Data Visualization tools etc.
• Good understanding of ML and DL theoretical concepts and algorithms and hands-on experience in implementing or improving algorithms
• Experience in NLP and NLU (NLTK, Spacy, Flair, etc.)
• Writing code for production environments and ability to profile code for optimizing runtime, memory etc.
• Prior experience in Pharma/Healthcare / Life Science will be a Big Plus but not Mandatory.

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Location :

• Chennai
• Salem

Roles and Responsibilities :

• Provisioning, maintaining and monitoring servers (including that of clients) in different Cloud environments
• Architecting cloud-based solutions for specific requirements, while working with development teams
• Supporting teams in terms of capacity planning, cost optimization and continuous monitoring of the cloud resources
• Ensuring the availability of Cloud resources to satisfy the client SLA requirements
• Planning and performing regular system maintenance and disaster recovery activities
• Managing and working with the Cloud/ Infra/ Network administration team to ensure smooth operations of different compute, networking environments.

Required Skillset :

• Strong experience in Linux System Administration
• Hands-on experience in Linux internals, setting up LDAP, Apache2 or other web servers, User and filesystem management, Monitoring, Networking, VPN, Applying patches or upgrades, Disaster recovery
• Install, Configure, Maintain and Upgrade open source tools, software and packages
• Experience in scripting in bash (or other shells). Experience in Perl scripting will be an added plus
• Basic understanding of Windows Administration, AD etc.
• First-hand experience in AWS or Azure cloud environment
• Setting up VMs (both Linux and Windows), Storage, Database instances (RDS, Aurora, Red Shift etc.), Route 53, Cloud formation, CloudWatch, CloudTrail, Lambdas or equivalent services
• Good knowledge and experience in HPC, Hadoop, code repositories (Git etc.) and others to effectively support the dev team
• Exposure to additional cloud providers will be a big plus
• Experience in Automated Patch Management Client, Package Managers
• Should have working knowledge on SQL.
• Excellent written and verbal communication skills
• Client interactions is a must as the job involves working with multiple clients/ stakeholders in dynamic, fast paced environment.
• Exposure to DI/DI, DevOps tools, Jenkins, Ansible etc. would be assets

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