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TensorFlow Jobs in Chennai

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Virtana

at Virtana

2 candid answers
Bimla Dhirayan
Posted by Bimla Dhirayan
Chennai
6 - 10 yrs
Best in industry
skill iconPython
pandas
SciPy
NumPy
Supervised learning
+9 more

Senior Data Scientist 

We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. 

If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you’re seeking an environment for continuous learning and improvement, we’d love to hear from you! 

Virtana is a “remote first” work environment so you’ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. 


Work Location- Chennai


Job Type- Hybrid


Role Responsibilities: 

  • Research and test machine learning approaches for analyzing large-scale distributed computing applications. 
  • Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness 
  • Work closely with other functional teams to integrate implemented systems into the SaaS platform 
  • Suggest innovative and creative concepts and ideas that would improve the overall platform  


 Qualifications:    

The ideal candidate must have the following qualifications: 

  • 5 + years’ experience in practical implementation and deployment of large customer-facing ML based systems. 
  • MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills 
  • In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms 
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization 
  • Experience in working on modeling graph structures related to spatiotemporal systems 
  • Programming skills in Python is a must 
  • Experience in developing and deploying on cloud (AWS or Google or Azure) 
  • Good verbal and written communication skills 
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow 


About Virtana:  

Virtana delivers the industry’s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. 

  

Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade. 

  

Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. 

  

Company Profitable Growth and Recognition 

In FY2023 (Fiscal year ending January 2023), Virtana earned: 

—  Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably 

— Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth 

— Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue 

— Positive Cash Flow, 171% YoY cash flow growth 

 

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Us healthcare company

Us healthcare company

Agency job
via People Impact by Ranjita Shrivastava
Hyderabad, Chennai
4 - 8 yrs
₹20L - ₹30L / yr
ai/ml
TensorFlow
skill iconPython
Google Cloud Platform (GCP)
Vertex

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.


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Us healthcare company

Us healthcare company

Agency job
via People Impact by Ranjita Shrivastava
Hyderabad, Chennai
11 - 20 yrs
₹50L - ₹60L / yr
Generative AI
skill iconPython
TensorFlow
Google Cloud Platform (GCP)
POC

Job Title: AI Solutioning Architect – Healthcare IT

Role Summary:

The AI Solutioning Architect leads the design and implementation of AI-driven solutions across the organization, ensuring alignment with business goals and healthcare IT standards. This role defines the AI/ML architecture, guides technical execution, and fosters innovation using platforms like Google Cloud (GCP).

Key Responsibilities:

  • Architect scalable AI solutions from data ingestion to deployment.
  • Align AI initiatives with business objectives and regulatory requirements (HIPAA).
  • Collaborate with cross-functional teams to deliver AI projects.
  • Lead POCs, evaluate AI tools/platforms, and promote GCP adoption.
  • Mentor technical teams and ensure best practices in MLOps.
  • Communicate complex concepts to diverse stakeholders.

Qualifications:

  • Bachelor’s/Master’s in Computer Science or related field.
  • 12+ years in software development/architecture with strong AI/ML focus.
  • Experience in healthcare IT and compliance (HIPAA).
  • Proficient in Python/Java and ML frameworks (TensorFlow, PyTorch).
  • Hands-on with GCP (preferred) or other cloud platforms.
  • Strong leadership, problem-solving, and communication skills.


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NeoGenCode Technologies Pvt Ltd
Akshay Patil
Posted by Akshay Patil
Chennai
8 - 12 yrs
₹10L - ₹26L / yr
skill iconPython
skill iconMachine Learning (ML)
Scikit-Learn
TensorFlow
PyTorch
+10 more

Job Title : Senior Machine Learning Engineer

Experience : 8+ Years

Location : Chennai

Notice Period : Immediate Joiners Only

Work Mode : Hybrid


Job Summary :

We are seeking an experienced Machine Learning Engineer with a strong background in Python, ML algorithms, and data-driven development.

The ideal candidate should have hands-on experience with popular ML frameworks and tools, solid understanding of clustering and classification techniques, and be comfortable working in Unix-based environments with Agile teams.


Mandatory Skills :

  • Programming Languages : Python
  • Machine Learning : Strong experience with ML algorithms, models, and libraries such as Scikit-learn, TensorFlow, and PyTorch
  • ML Concepts : Proficiency in supervised and unsupervised learning, including techniques such as K-Means, DBSCAN, and Fuzzy Clustering
  • Operating Systems : RHEL or any Unix-based OS
  • Databases : Oracle or any relational database
  • Version Control : Git
  • Development Methodologies : Agile

Desired Skills :

  • Experience with issue tracking tools such as Azure DevOps or JIRA.
  • Understanding of data science concepts.
  • Familiarity with Big Data algorithms, models, and libraries.
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Coinfantasy
Indira Priyadharshini
Posted by Indira Priyadharshini
Remote, Chennai
3 - 10 yrs
₹10L - ₹40L / yr
skill iconPython
PyTorch
Large Language Models (LLM) tuning
Large Language Models (LLM)
Generative AI
+2 more

CoinFantasy is looking for an experienced Senior AI Architect to lead both the decentralised protocol development and the design of AI-driven applications on this network. As a visionary in AI and distributed computing, you will play a central role in shaping the protocol’s technical direction, enabling efficient task distribution, and scaling AI use cases across a heterogeneous, decentralised infrastructure.

Job Responsibilities

  • Architect and oversee the protocol’s development, focusing on dynamic node orchestration, layer-wise model sharding, and secure, P2P network communication.
  • Drive the end-to-end creation of AI applications, ensuring they are optimised for decentralised deployment and include use cases with autonomous agent workflows.
  • Architect AI systems capable of running on decentralised networks, ensuring they balance speed, scalability, and resource usage.
  • Design data pipelines and governance strategies for securely handling large-scale, decentralised datasets.
  • Implement and refine strategies for swarm intelligence-based task distribution and resource allocation across nodes. Identify and incorporate trends in decentralised AI, such as federated learning and swarm intelligence, relevant to various industry applications.
  • Lead cross-functional teams in delivering full-precision computing and building a secure, robust decentralised network.
  • Represent the organisation’s technical direction, serving as the face of the company at industry events and client meetings.

Requirements

  • Bachelor’s/Master’s/Ph.D. in Computer Science, AI, or related field.
  • 12+ years of experience in AI/ML, with a track record of building distributed systems and AI solutions at scale.
  • Strong proficiency in Python, Golang, and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Expertise in decentralised architecture, P2P networking, and heterogeneous computing environments.
  • Excellent leadership skills, with experience in cross-functional team management and strategic decision-making.
  • Strong communication skills, adept at presenting complex technical solutions to diverse audiences.

About Us

CoinFantasy is a Play to Invest platform that brings the world of investment to users through engaging games. With multiple categories of games, it aims to make investing fun, intuitive, and enjoyable for users. It features a sandbox environment in which users are exposed to the end-to-end investment journey without risking financial losses.

Building on this foundation, we are now developing a groundbreaking decentralised protocol that will transform the AI landscape.

Website:

Benefits

  • Competitive Salary
  • An opportunity to be part of the Core team in a fast-growing company
  • A fulfilling, challenging and flexible work experience
  • Practically unlimited professional and career growth opportunities


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Smartan.ai

at Smartan.ai

2 candid answers
Aadharsh M
Posted by Aadharsh M
Chennai
4 - 8 yrs
₹5L - ₹15L / yr
skill iconPython
NumPy
TensorFlow
PyTorch
Google Cloud Platform (GCP)
+4 more

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.


Key Responsibilities:

  • Develop, implement, and optimize machine learning models and algorithms to support product development.
  • Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
  • Collaborate with cross-functional teams to define data requirements and product taxonomy.
  • Design and build scalable data pipelines and systems to support real-time data processing and analysis.
  • Ensure the accuracy and quality of data used for modeling and analytics.
  • Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
  • Implement best practices for data governance, privacy, and security.
  • Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.


Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
  • 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
  • Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
  • Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
  • Hands-on experience with data visualization tools and techniques.
  • Strong understanding of statistics, data analysis, and machine learning concepts.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a fast-paced, dynamic environment.


Preferred Qualifications:

  • Knowledge of microservices architecture and RESTful APIs.
  • Familiarity with Agile development methodologies.
  • Experience in building taxonomy for data products.
  • Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
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DATASEE.AI, INC.

at DATASEE.AI, INC.

1 video
3 recruiters
BHASKAR RAGHUNATHAN
Posted by BHASKAR RAGHUNATHAN
Chennai
2 - 4 yrs
₹7L - ₹14L / yr
skill iconPython
skill iconMachine Learning (ML)
skill iconData Science
Computer Vision
OpenCV
+5 more

Do you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics? 


What is your role?


As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows. 


What you’ll do

  • You will be working with the core R&D team which drives the computer vision and image processing development. 
  • Build deep learning model for our data and object detection on large scale images. 
  • Design and implement real-time algorithms for object detection, classification, tracking, and segmentation 
  • Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions. 
  • Automate the workflow process between the fast-paced data delivery systems. 

What we are looking for

  • 1 to 3+ years of professional experience in computer vision and machine learning.
  • Extensive use of Python 
  • Experience in python libraries such as OpenCV, Tensorflow and Numpy 
  • Familiarity with a deep learning library such as Keras and PyTorch 
  • Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
  • Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
  • B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
  • Dockerization, AWS modules and Production level modelling
  • Basic knowledge of the Fundamentals of GIS would be added advantage

Prefered Requirements

  • Experience with Qt, Desktop application development, Desktop Automation 
  • Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS


About Datasee.AI:

Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach. 

 

With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests. 

 

A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.

 
 
 
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IT-Startup In Chennai

IT-Startup In Chennai

Agency job
Chennai
3 - 5 yrs
₹12L - ₹20L / yr
skill iconData Science
Data Scientist
skill iconR Programming
skill iconPython
skill iconMachine Learning (ML)
+9 more
  • 3+ years experience in practical implementation and deployment of ML based systems preferred.
  • BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
  • Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
  • Experience in working on modeling graph structures related to spatiotemporal systems
  • Programming skills in Python
  • Experience in developing and deploying on cloud (AWS or Google or Azure)
  • Good verbal and written communication skills
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Read more
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