11+ BERT Jobs in Chennai | BERT Job openings in Chennai

• A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

• Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
• Mentor and coach other team members
• Evaluate the performance of NLP models and ideate on how they can be improved
• Support internal and external NLP-facing APIs
• Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

• Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

• Proven ability to multi-task and deliver results within tight time frames
• Must have strong verbal and written communication skills
• Strong listening skills and eagerness to learn
• Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

• NLP
• Deep Learning
• Machine Learning
• Python
• Bert

Preferred Requirements

• Experience in Computer Vision is preferred

Mandatory (Experience 1): Must have a minimum 4+ YOE in B2B SaaS / Enterprise Tech sales, preferably in ERP, CAD, or Factory Automation tools.

Mandatory (Experience 2): At least 3+ YOE selling ERP solutions or CAD Softwares.

Mandatory (Experience 3): Proven track record in offline / field sales and experience in selling complex solutions.

Mandatory (Tools): Proficient in CRM systems (HubSpot, Zoho, Salesforce, etc.) and lead generation tools (LinkedIn Sales Navigator, Apollo, ZoomInfo, etc.)

Mandatory (Company): Experience in B2B SaaS Product companies or IT/Tech Services companies.

Mandatory (Note 1) - Total experience should not be more than 7 Years.

Mandatory (Note 2) - Overall Expected CTC should not be more than 15L

Job Description:

We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.

Key Responsibilities:

• Machine Learning & AI: Expertise in ML algorithms, especially for classification, anomaly detection, and predictive analytics.
• Cloud Platforms: Proficiency in Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, and Vertex AI.
• Programming Languages: Advanced knowledge of Python; experience with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
• Data Processing: Skilled in SQL, data transformations, and ETL processes, especially with BigQuery.
• Anomaly Detection: Proven experience in building and deploying anomaly detection models, particularly for network data.
• Network Data Analysis: Familiarity with analyzing network logs, IP traffic, and related data structures.
• DevOps & CI/CD: Experience with CI/CD pipelines for ML model deployment, particularly with tools like Cloud Build.

Must have extensive and in-depth knowledge and experience in developing APIs in NodeJS, HTML5/CSS/Javascript, MongoDB, Git, production application deployments. And optionally ReactJS Components/Websites/UI/UX, Redux etc.

Cloud infra management

AWS SDK, Google Maps SDK

Elastic Search engine

Mocha or any testing framework

Continuous delivery

Redis, ExpressJS, Apollo Client, PubSub

Responsibilities

Development of web applications and modules

Drafting ReactJS front ends components based on provided mock-ups.

Architecting database and REST/GraphQL APIs for front end.

Integrating multiple 3rd party SDKs including but not limited to AWS, Messagebird, Twilio, Lalamove, Google Maps etc.

Write and execute unit tests

Bug fixes, support and enhancements

UAT and Production deployments

Performance optimizations and app security implementations

Cloud infra management

Backup plans and risk mitigation techniques implementation

* Experience in C/C++ and have strong experience embedded application development and integration in Linux

* Good in creating unit tests, performing code reviews, optimizing performance and ensuring standards for maintainability  

* Debugging, profiling, and performance optimization skills

GREETINGS FROM CODEMANTRA !!!

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

Skills and Qualifications

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

Regards