11+ Online machine learning Jobs in Chennai | Online machine learning Job openings in Chennai

Job description

Years Of Experience : 3 to 5 Years

Notice Period : Immediate to 15 Days Joiners

Job Summary:

We are seeking a Product Manager to lead the strategy, roadmap, and execution of our product initiatives. The ideal candidate will work closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative and customer-centric solutions.

Key Responsibilities:

• Drive the execution of all processes in the product lifecycle, including product and market research, competitor analysis, planning, positioning, requirements and roadmap development, and product launch
• Define and execute the product roadmap for the E-commerce platform, ensuring alignment with business goals.
• Lead the development and enhancement of core platform features, including product discovery, checkout, payments, and post-purchase experience.
• Work closely with Technology, UX/UI, marketing, and analytics teams to improve user experience and optimize conversion rates.
• Analyze customer behavior, competitive insights, and industry trends to drive data-driven product decisions.
• Implement AI/ML-driven personalization, recommendation engines, and dynamic pricing strategies.
• Work on mobile-first optimizations and PWA enhancements for better performance and reach.
• Manage A/B testing, usability testing, and iterative improvements to drive continuous growth.
• Stay updated on E-commerce innovations, payment trends, and customer experience best practices.

Required skills and qualifications

• Strong experience in a dynamic product management role
• Proven success in overseeing all elements of the product development lifecycle
• High effectiveness in managing cross-functional teams
• Experience in delivering finely tuned product marketing strategies
• Exceptional writing and editing skills, combined with strong presentation skills
• Data analytics and metrics management skills
• Critical thinking and problem-solving skills
• Attention to detail
• Experience using computer-aided design (CAD) platforms

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in product design or engineering
• Previous experience in software and web development
• Proven experience in product management (preferably in [industry/domain, e.g., Fintech, E-commerce]).
• Demonstrable knowledge of SEM (search engine marketing) and online advertising
• Certified Product Manager (CPM) or New Product Development (NPD) Professional Certification a plus.
• Experience with Agile methodologies & Product analytic tools.

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

We are looking for Senior Software Engineers (.NET) with at least 6 to 10 years of experience for the role of a consultant for a period of 6 months with potential offer of permanent position at the end of 6 months. The client is a SAAS product company working in the US Loan mortgage servicing and origination space. The location of the position is Chennai, India.

The team is building the next-generation loan originations and servicing systems. The systems will be used by lenders and servicers in the consumer and mortgage lending markets in the United States. As an agile developer, you will be working on a delivery team using modern technologies, tools and frameworks to develop advanced, enterprise business components that can run on Cloud platforms. You will be provided with the best tools, resources and compensation to get the job done…and enjoy every minute of it. And if it couldn’t get any better….this role is HYDBRID

Role:

•  Associate will serve as a dedicated member of our development Team. Troubleshoot and resolve software bugs and deployment issues
• Must be an excellent verbal and written communicator
• Must have a positive attitude and be a self-starter who is willing to work independently and learn
• Creative problem-solving ability, allowing the individual to identify solid solutions to challenging business issues
• A passion for success and willingness to go above and beyond to accomplish goals
• Collaborate with managers, other developers, Quality Assurance, Business Analysts. Client Service Representatives and clients to understand requirements and demonstrate progress
• Work on an agile team with both onshore and offshore team members to help plan, implement and support enterprise web applications
• Design, develop and test new system capabilities, including: web UI, REST API, Microservices, serverless components, cloud native
• Document and communicate technical designs, standards and processes as needed
• Perform unit and integration testing to ensure application quality
• Continuously enhance skills by learning and applying relevant technologies and patterns
•  

Requirements

• Professional Degree in Computer Science, Information Technology, related domain.
• Bachelor’s degree in Computer Science or equivalent work experience
• Minimum of 6-10 years’ experience in fast-paced software industry with an in-depth understanding of web application development.
• Agile development methodology
• Experience with the ASP.NET MVC stack.
• Experience with Azure DevOps (ADO) and Visual Studio and GIT
• Experience with JavaScript, jQuery and AJAX
• Experience with Angular and ReactJS
• Experience with HTML5, CSS3 and responsive UI design.
• Extensive experience with full-lifecycle development (i.e. design, coding, testing, debugging, etc.).
• Experience with distributed systems, C#, ASP.NET, REST and SQL programming. 
• Experience developing or working with web services (REST and Web API preferred)
• Exposure to Cloud Native Programming and components

What do you get:

• Working on the latest and greatest technology
• Part of new product development team right from the beginning
• Excellent compensation
• Remote/Hybrid workplace options, Group Medical Coverage, Group Personal Accidental, Group Term Life Insurance Benefits, Flexible Time Off, Food@Work, Career Pathing, Summer Fridays and much, much more!

As a Network Engineer at Propel, you will play a vital role in designing, implementing, and maintaining our network infrastructure to ensure optimal performance, security, and scalability. You will work closely with cross-functional teams to develop and support network solutions that align with business objectives and industry best practices.

Responsibilities 

• Design, implement, and maintain network infrastructure, including LAN, WAN, and wireless networks, Site to Site and Client to Site VPN to support business operations and growth.

• Develop and implement network security strategies, including firewall policies, intrusion detection and Prevention (IDS/IPS), access control and CCTV systems, to safeguard company data and resources.

• Configure, troubleshoot, and optimize network devices such as routers, switches, firewalls, High availability, L3/L2/PoE Switches and load balancers, QoS.

• Configure VLan and segregate access between different teams

• Perform hardware troubleshoot such as port failure, system crash, hardware failure etc.,

• Design and implement patch panels and cabling

• Monitor network performance and ensure system availability and reliability. Identify areas for improvement, implementing network optimization and redundancy solutions as needed.

• Perform network maintenance and system upgrades including service packs, patches, hot fixes and security configurations

• Collaborate with other IT teams to evaluate and recommend networking solutions for application and infrastructure projects.

• Implement security tools, policies, and procedures in conjunction with the company’s security team

• Perform network maintenance and system upgrades including service packs, patches, hot fixes, firmware and security configurations

• Monitor system resource utilization, trending, and capacity planning

• Work within established configuration and change management policies to ensure awareness, approval and success of changes made to the network infrastructure.

• Monitor network performance on the availability, utilization, throughput, jitter and latency and test for weaknesses.

• Perform Vulnerability assessment Pen testing at network level and mitigate issues

• Create and maintain network documentation, diagrams, and configurations.

• Knowledge of common security vulnerabilities and OWASP vulnerabilities

• Provide support for critical network incidents on shift basis to support 24x7 model on need basis.

• Exploring automations to integrate for managing networks and provide timely network alerts

• Use ticketing system to document requests, track changes, and explain resolutions

Requirements:

• Bachelor's degree in computer science, Engineering, or a related field.

• 4+ years of experience as a Network Engineer or similar role, with a focus on implementing and managing complex network environments.

• Deep understanding of networking protocols, such as DNS, DHCP, CIDR, IPSEC TCP/IP, BGP, OSPF, and MPLS.

• Proficiency with network hardware, including routers, switches, firewalls, and load balancers from vendors like Fortinet, Cisco etc.,

• Strong knowledge of network security best practices and technologies, such as firewalls, VPNs, and intrusion detection systems.

• Experience with network monitoring and management tools

• Excellent troubleshooting and problem-solving skills and a commitment to continuous improvement.

• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.

Nice-to-Have:  

• Relevant networking certifications, such as CCNP, CCIE, JNCIP, or JNCIE.

• Experience with software-defined networking (SDN) and network automation technologies, such as Ansible, Python, or REST APIs.

Others:

• Common application/ web security and OWASP vulnerabilities

• Encryption algorithms to protect sensitive information

• PII, PCI, HIPPA, and GDPR compliance and how to implement

• Finding the vulnerabilities of the third-party components/ libraries

• Understanding security breaches of data-in-transit and data-at-rest and its implementation

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, 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 relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Responsibilities:

• Working with the product team and designers to collaboratively build the products that pushes Rely to reach our next stage of growth.
• Tackle the challenges that occur from having your code running on different merchant websites.
• Ensure the technical feasibility of UI/UX designs.
• Optimise applications for maximum speed and scalability.
• Collaborate with other team members and stakeholders.
• Move fast.

Requirements:

• 3+ years of hands-on product experience in professional software development with front end web development and experience in building user interfaces
• At least one year experience with Angular.
• Experience writing good JavaScript code from scratch.
• Familiarity with web development cycles (e. g. package management, module bundling, unit, and integration testing, browser capabilities, etc. ).
• An eye for detail and empathy for the customer.
• Experience building for mobile platforms.
• Ability to write clean, semantic HTML and CSS, agonising along the way for pixel perfection.

• Experience working at a fast-growth startup.
• Experience upgrading angular.

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

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.

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 preprocessing 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 14+ years of 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.

DevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!

Hello superstar,

I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......

I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.

I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;

• We choose the most appropriate technology
• We choose competent developers in those technologies
• The architecture and data modeling are clearly defined in a ‘blueprint’ plan
• A DevOps environment and processes are set up and the developers understand what is required
• Proper tests are carried out to ensure everything works as intended
• There are processes for testers to follow and competent testers are selected to follow them
• Accessibility, localization, and internationalization are planned ahead of time
• Security, scalability, and other future probabilities that I may not even be aware of are considered and planned ahead of time
• Documentation and code reviews, refactoring and other quality assurance processes are undertaken
• Working software is produced and systems that enable new developers or teams of people to easily take over and/or contribute new modules or updates in a controlled and organized fashion
• Cost estimates or budgets/projections or use of SaaS, hosting and other 3rd party services and applications

I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.

Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response.  I look forward to hearing from you.

Warm wishes DevOps Evangelist,