Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Statistics, or a related field, with a focus on LLM & Generative AI plus a minimum of 3 years of data science algorithm development in the areas of NLP & LLM
Proven experience in developing and implementing Generative AI algorithms.
Strong background in machine learning, statistics, and probability theory, with practical experience in data analysis, modeling, and optimization
3+ years of hands-on experience with Python with working experience with NLP, LLM, Machine Learning Techniques, Classifiers, and Neural Networks
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python (mandatory), R, etc.)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Strong communication and interpersonal skills
Experience in working on analytics / software on heavy manufacturing, engineering, or airlines industries.
Hands-on experience with Machine Learning projects involving Exploratory Data analysis, model development, assessment, Prediction & Forecasting
Deep hands-on experience in NLP, LLM, Machine Learning, building deep learning models and using advanced state of the art NLP, LLM , Machine Learning algorithms on industrial datasets using Python
Demonstrated skill in good understanding of NLP, LLM, machine learning techniques and algorithms using data science stack
Demonstrated awareness of how to succeed in ambiguous circumstances
Job Location: Bangalore
Work Mode: Hybrid
Solution Estimation and Design: Provide accurate estimates for Industry 4.0 solutions and lead the design and architecture of scalable, robust software solutions for transformation programs.
Smart Factory Use Cases: Expertise in conceptualizing end-to-end Industry 4.0 IIoT solutions, including smart factory use cases such as Manufacturing Operations Intelligence, Predictive Maintenance, Quality Control, Golden Batch analysis, and Factory/Plant Control Towers using platforms like Azure IoT or AWS IoT.
Use Case Development: Ability to identify and define Industry 4.0 use cases for customers in the short, medium, and long term.
Best Practices Implementation: Define and implement best practices for software architecture, development, and deployment, focusing on non-functional requirements (NFRs) such as performance, security, interoperability, UX, and extensibility.
Cloud-Based Solutions: Design and implement on-premises and cloud-based solutions using Azure and/or AWS services.
Advanced Analytics: Collaborate with data engineers and scientists to implement AI/ML-based analytics and machine learning components.
Application Performance: Ensure optimal performance, scalability, and security of both on-premises and cloud-based applications.
Stakeholder Communication: Effectively communicate complex technical concepts to non-technical stakeholders.
Quality Assurance: Implement and enforce coding standards, best practices, and conduct code reviews to maintain high-quality software delivery.
Performance Optimization: Conduct or mentor teams in performance tuning and optimization of implemented solutions.
Bachelor’s or master’s degree in computer science engineering, or related field.
Good understanding of Industry 4.0 concepts, IoT, and data analytics, cloud capabilities, etc.
Demonstrate deep & most recent expertise in Microsoft .NET technologies & architecture styles like C#, .NET Core, Micro-Services, SOA, Rest API, etc.
Demonstrate expertise in database design and programming using Microsoft MS SQL Server (preferred), Oracle.
Also demonstrate some experience (may not be expertise) in UI development using Angular / ReactJS, Java Script, Bootstrap / Angular Material (minimum 3 years).
Good knowledge or some exposure to unit testing frameworks like NUnit or so.
Must know to few agile methodologies & tools.· Some experience or good theoretical knowledge of DevOps tools & concepts (Docker, Containers, Kubernetes etc.), and reporting tools like Power BI and/or Tableau.
Industry Knowledge: Comprehensive understanding of RAMI architecture, ISA-95 principles, IT-OT logical architecture, and Industry 4.0/Digital Transformation trends, including IIoT/IoT.
Implementation Expertise: Proven experience in multi-site implementations, connecting shop floor systems to enterprise systems, including Machine PLC, SCADA, Historian, DCS, MES, MOM, LIMS, ERP, and CMMS.
Cloud and Data Skills: Proficiency in cloud architecture (AWS/Azure), Edge computing, Data Modeling, SQL/NoSQL databases, Microservices, AI/ML, and Data Lake concepts
Strong Knowledge Base: Familiarity with common Industry 4.0 and IIoT platforms like PTC, Siemens, and Rockwell and OT Application like Ignition, Kepware, etc.
Implementation Experience: Proven experience in 1-2 end-to-end implementations of MES, Industry 4.0, or Digital Solutions is highly beneficial.
Domain Expertise: Familiarity with solution design in functional areas such as Manufacturing Execution, Production, Maintenance, Quality, Supply Chain, Sustainability, and Asset Integrity.
Educational Background: MBA or Bachelor's degree in Engineering or Computer Science, complemented by relevant industry experience.
Certifications: Additional certifications, such as TOGAF, are considered an added advantage.
Job Location: Hyderabad
Work Mode: Hybrid
We are seeking a Full Stack Java Developer to join a fast-paced, highly collaborative engineering team. In this role, you will work with your scrum team to prototype, design, develop, and qualify software solutions. The Engineering team embraces a highly collaborative development model that requires deep development involvement from start to finish for each project.
Responsibilities.
Design, develop, qualify, deploy, and support scalable software applications/systems
Build and maintain products and solutions throughout its life cycle
Help drive technical direction of a complex software system
Collaborate and work with scrum team members to turn requirements into prototypes, technical designs, and implementation
Collaborate with developers across scrum teams to maintain technical design and code standards
Participate in reviews of business requirements
Contribute to functional specifications, technical designs, and qualification plans
Bachelor’s or master’s degree in computer science engineering, or related field.
Good understanding of Industry 4.0 concepts, IoT, and data analytics, cloud capabilities, etc.
5-10+ years of hands-on contribution in software engineering or related field
Experience in core Java ,Design Pattern & Data Structure.
Experience in designing solutions from scratch
Experience in designing scalable distributed software
Strong knowledge of Object Oriented development and design principles
Deep understanding of engineering processes (including Agile methodologies)
Advanced problem solving skills
Ability to convey complex technical information in a clear and concise manner
Tech savvy, detail oriented, and highly driven
Outstanding interpersonal and communication skills
A genuine passion for engineering high-quality solutions
Relevant formal education, including BSCS or MSCS.
Job Location: Bangalore
Work Mode: Onsite
If you're interested in one of our open positions, start by applying here and attaching your resume.
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