12+ Artificial Intelligence (AI) Jobs in Chennai | Artificial Intelligence (AI) Job openings in Chennai
Apply to 12+ Artificial Intelligence (AI) Jobs in Chennai on CutShort.io. Explore the latest Artificial Intelligence (AI) Job opportunities across top companies like Google, Amazon & Adobe.
Responsibilities
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
Primary Skills
- Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
Responsibilities
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
Primary Skills
- Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and Huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
PythonRole 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.
About Us:
F22 Labs Global is a forward-thinking software development company with a growing AI consulting practice. We work on cutting-edge AI projects and aim to share our insights and developments with the broader community through engaging and informative content.
Role Overview :
We are seeking a talented AI Content Strategist to join our team. This role involves creating compelling content from our AI proof-of-concepts (POCs), attending AI events (both online and offline), and coordinating with our AI team to produce various forms of content. The ideal candidate will have a passion for AI and the ability to translate complex technical concepts into accessible and engaging materials.
Key Responsibilities:
* Develop and create content from AI POCs, including blogs, case studies, white papers, and videos.
* Attend AI events and generate content based on insights and developments from these events.
* Collaborate with the AI team to produce graphics, LinkedIn posts, and other content based on their explorations and new models/research tools.
Ensure all content is accurate, up-to-date, and aligns with our brand voice.
* Monitor trends in AI to keep our content relevant and forward-thinking.
* Manage and maintain a content calendar to ensure timely publication.
* Engage with the AI community and build relationships to enhance our company’s visibility.
Qualifications:
* Bachelor’s degree in Marketing, Communications, Computer Science, or a related field.
* Proven experience in content creation, preferably within the tech or AI sector.
* Strong understanding of AI concepts and the ability to simplify complex topics.
* Excellent writing, editing, and communication skills.
* Proficiency in content management systems and social media platforms.
* Ability to work independently and as part of a team.
* Strong organizational skills and attention to detail.
Preferred Qualifications:
* Experience attending and covering tech/AI events.
* Familiarity with graphic design tools and video editing software.
* Basic knowledge of SEO best practices.
* Benefits
* Flexible work timings
* Medical Insurance- self and immediate family
* Optimized Learning Culture
* Approachable and helpful founders a.k.a leaders to guide your career
and much more…
Machine Learning (ML)PythonCompany: Optimum Solutions
About the company: Optimum solutions is a leader in a sheet metal industry, provides sheet metal solutions to sheet metal fabricators with a proven track record of reliable product delivery. Starting from tools through software, machines, we are one stop shop for all your technology needs.
Role Overview:
- Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
- Implementing automated testing platforms, unit tests, and CICD Pipeline
- Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
- Understanding of container platform, such as Docker
Job Description
- We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
- Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
- You will be responsible for prompting and building use case Pipelines
- Perform the Evaluation of all the Gen-AI features and Usecase pipeline
Position: AI ML Engineer
Location: Chennai (Preference) and Bangalore
Minimum Qualification: Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.
Experience: 4-6 years
CTC: 16.5 - 17 LPA
Employment Type: Full Time
Key Responsibilities:
- Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
- Design and develop prompts suiting project needs
- Lead and manage team of prompt engineers
- Stakeholder management across business and domains as required for the projects
- Evaluating base models and benchmarking performance
- Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
- Develop, deploy and maintain auto prompt solutions
- Design and implement minimum design standards for every use case involving prompt engineering
Skills and Qualifications
- Strong proficiency with Python, DJANGO framework and REGEX
- Good understanding of Machine learning framework Pytorch and Tensorflow
- Knowledge of Generative AI and RAG Pipeline
- Good in microservice design pattern and developing scalable application.
- Ability to build and consume REST API
- Fine tune and perform code optimization for better performance.
- Strong understanding on OOP and design thinking
- Understanding the nature of asynchronous programming and its quirks and workarounds
- Good understanding of server-side templating languages
- Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
- Integration of APIs, multiple data sources and databases into one system
- Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
- Understanding fundamental design principles behind a scalable and distributed application
- Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
- Experience in deploying on Cloud platform like Azure or AWS
- Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform
Machine Learning (ML)Company Name : LMES Academy Private Limited
Website : https://lmes.in/
Linkedin : https://www.linkedin.com/company/lmes-academy/mycompany/
Role : Machine Learning Engineer
Experience: 2 Year to 4 Years
Location: Urapakkam, Chennai, Tamil Nadu.
Job Overview:
We are looking for a Machine Learning Engineer to join our team and help us advance our AI capabilities.
Requirements
• Model Training and Fine-Tuning: Utilize and refine large language models using techniques such as distillation and supervised fine-tuning to enhance performance and efficiency.
• Retrieval-Augmented Generation (RAG): Good understanding on RAG systems to improve the quality and relevance of generated content.
• Vector Databases: Familiar with vector databases to support fast and accurate similarity searches and other ML-driven functionalities.
• API Integration: Good in REST APIs and integrate third-party APIs, including Open AI, Google Vertex, and Cloudflare Workers AI, to extend our AI capabilities.
• Generative AI: Experience with generative AI applications, including text-to-image, speech recognition, and text-to-speech systems.
• Collaboration: Work collaboratively with cross-functional teams, including data scientists, developers, and product managers, to deliver innovative AI solutions.
• Adaptability: Thrive in a fast-paced environment with loosely defined tasks and competing priorities, ensuring timely delivery of high-quality results.
FURIOUS FOX is looking for Embedded Developers with strong coding skills in C & C++ as well as experience with Embedded Linux.
Experience : (Minimum 7-10 yrs)
• Experienced in edge processing for connected building / industrial / consumer
appliances / automotive ECU
• Have a good understanding of IoT platforms and architecture
• Deep experience in operating systems eg: Linux, freeRTOS / kernel development/device drivers.
/ sensor drivers
• Have experience with various low-level communication protocols, memory devices, messaging
framework etc.
• Have a deep understanding of design principles, design patterns, container preparations
• Have developed hardware, OS abstraction layers, and sensor handlers services to manage various BSP, os standards
• Have experience with Python edge packages.
• Have a good understanding about IoT databases for edge computing
• Good understanding of connectivity application protocols and connectivity SDK for Wi-Fi and BT / BLE
• Experienced in arm architecture, peripheral devices and hardware board configurations
• Able to set up debuggers, configure build environments, and compilers and optimize code and performance.
Skills / Tools:
• Expert at object-oriented programming
• Modular programming
• C / C++ / JavaScript / Python
• Eclipse framework
• Target deployment techniques
• IoT framework
• Test framework
Highlights :
• Having AI / ML knowledge in applications
• Have worked on wireless protocols
• Ethernet / Wi-Fi / Bluetooth / BLE
• Highly exploratory attitude
• willing to venture in and learn new
technologies.
• Have done passionate projects based on self-interest.
|
• Handling critical incidents/escalations, reviewing incidents and tracking towards closure • Good experience in SIEM tools, event logging and event analysis • Good knowledge in enterprise security products like Firewalls, IPS, Web/content Filtering tools, Compliance tools • Team Management, performance monitoring and prepare reports on weekly, monthly basis and share to stakeholders as needed • Good knowledge about common security attacks, targeted attacks • Good experience in forensic analysis, Packet Analysis tools like Wireshar • Assisting, mentoring L2/L3 analysts and groom them to move to next level • Contribute to continue monitoring and improvement of security posture of the organization • Having experience of managing team of 25+ team members across multiple locations.
|
|
• Primarily responsible for security event monitoring, management and response • Ensure incident identification, assessment, quantification, reporting, communication, mitigation and monitoring • Revise and develop processes to strengthen the current Security Operations Framework, Review policies and highlight the challenges in managing SLAs • Responsible for team & vendor management, overall use of resources and initiation of corrective action where required for Security Operations Center • Management, administration & maintenance of security devices under the purview of SOC which consists of state-of-the art technologies • Perform threat management, threat modeling, identify threat vectors and develop use cases for security monitoring • Responsible for integration of standard and non-standard logs in SIEM • Creation of reports, dashboards, metrics for SOC operations and presentation to Sr. Mgmt. • Co-ordination with stakeholders, build and maintain positive working relationships with them
|
Machine Learning (ML)
Data Science
Deep LearningPythonSkills: Machine Learning,Deep Learning,Artificial Intelligence,python.
Location:Chennai
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
· To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies
· Design and develop AI//ML models to be deployed across SG factories
· Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
· Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
· Prior experience in developing AI and ML models is required
· Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
· Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
· Multitasking, good communication necessary
· Entrepreneurial attitude.
Data ScienceMachine Learning (ML)PythonJob Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Machine Learning (ML)We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
Java
Amazon Web Services (AWS)Location: Chennai
Notice Period: Immediate joiners or less than 30 days
Compensation: 35-40 LPA
Experience : 10-18 years of total experience
Job Requirements
- Experience in core JAVA technologies
- Experience with RESTful services
- Experience with relational DBs like MySQL
- Experience working within an Agile/Scrum and CI/CD environment.
- Experience working with version control using GIT/BitBucket.
- Managed 50+ engineers.
Follow Cutshort