Bachelors in Engineering degree or higher, preferably mechanical, mechatronics,production, instrumentation, automobile, aerospace, computer science etc., with 5+ years of relevant experience in AI, ML, LLM, Full stack software development or related fields.
Good understanding of image processing and ability to design and develop ML and deep learning systems according to requirements.
Good knowledge in machine vision, data driven tools, algorithms and platforms.
Proficiency in OCR technologies for data extraction.
Good knowledge in SLM & LLM, prompt engineering strategies & hyper parameter tunin.
Working knowledge in Django, cloud platforms and analytic tools.
Proficiency in programming languages like python, React & Angular JS , html, java script
and working knowledge in GIT.
Proficiency in SQL for real-time database management.
Strong technical knowledge of IT security concepts, technologies, and best practices.
Excellent communication and presentation skills, both verbal and written.
Ability to explain complex technical concepts in a clear and concise manner.
Strong problem-solving skills and a customer-centric approach.
Proficiency in using CRM software and sales tools.
Product Expertise: Gain and maintain an in-depth understanding of our IT security products,
Including features, benefits, and competitive positioning. Stay informed about the latest
trends and developments in the IT security industry.
Pre-Sales Support:
Work closely with the sales team to identify and understand customer IT security
requirements.
Conduct detailed product demonstrations and presentations tailored to customer needs.
Assist in the development of proposals, RFP/RFI responses, and other sales materials.
Certifications (preferred -added advantage)
CISSP (Certified Information Systems Security Professional)
Holds relevant technical qualifications (Bachelor, Master or equivalent) or a relevant
level of experience to perform the engineering tasks.
8+ years (indicative) of relevant experience gained within an engineering discipline, ideally within an aerospace environment and in multi-disciplinary engineering project teams (Design, Analysis).
Able to act under own initiative in relation to the relevant work package boundaries
within defined functional procedures / governance.
Ability to describe and present technical information of a technical work package to
a wide audience at equivalent levels within the engineering business.
Able to promote Lean Principles including leading a Continuous Improvement
Project (“CIP”) within a work package.
Demonstrates ability to mentor & technical knowledge transfer as part of day
to day activities.
The ability to act as a functional/ technical/ integration representative in
communications with customers, sub-tier suppliers (structure, systems) and
suppliers (parts, materials, sub-assemblies) in a work package.
Demonstrates a commercial awareness to be able to analyse customer
requirements.
Must possess a high level of technical problem solving skills.
Sr Engineer System Or Module Level Thermal Engineer
Job description:
Execute and implement methods plans, toolsets and approaches that are
appropriate and Compliant to achieve the design and programmer objectives.
Identify and assess technical risk for own work and propose mitigations within
assigned programmes/projects.
Generate assigned project deliverables, documents, and reports according to the
project signature authorizations.
Support technical and customer reviews, including formal gate reviews, including
the creation and preparation of technical data and presentations of product design.
Perform all activities at a level of minimal supervision and support other engineers
with peer-to-peer reviews. He or She will make sure OTD & FTR always above
the set target for his/her team.
Identify improvements and support the creation of work instructions, procedures,
technical manuals, Design practices and guidelines.
Individual contributor working in Design engineering delivering analysis tasks mainly
Solid mechanics for a part / product in line with functional KPI of the organization.
Supporting the structural design process to ensure required quality is achieved
within direct area of responsibility
Supporting continuous improvement initiatives to increase team efficiency
Develop, implement, and check technical solutions and compliance documentation
to ensure they are compliant with all relevant customer, regulatory, and
airworthiness requirements, within agreed program, schedule, and manufacturing
constraints.
Execute and implement methods plans, toolsets and approaches that are
appropriate and compliant to achieve the design and programme objectives.
Identify and assess technical risk for own work and propose mitigations within
assigned programmes/projects.
Generate assigned project deliverables, documents, and reports according to the
project.
Signature authorizations. Support technical and customer reviews, including formal
gate reviews, including the creation and preparation of technical data and
presentations of product design.
Process documentation such as concessions and non-conformances, and provide
technical support by implementing solutions to address non-conforming products,
designs, and compliance documentation.
Identify improvements and support the creation of work instructions, procedures,
technical manuals, and guidelines.
Must possess good knowledge and understanding of research and product
development.
Must possess excellent knowledge and understanding of the ML, automation and Digitali sation domains to support new technology development initiatives.
Must possess good knowledge and understanding of Additive manufacturing process.
Must possess a high level of technical problem solving skills and innovative mind set
to conceptualize ideas and develop them to feasible solutions with an interest to
work in developing technologies.
Must be comfortable with reading the articles and implementing in production.
Bachelors in Engineering degree or higher, preferably mechanical, production, instrumentation, automobile, aerospace etc., with 2-5 years of relevant experience
in ML, software development or related fields.
Excellent understanding of machine learning models and ability to design and
develop ML and deep learning systems according to requirements.
Good knowledge in machine vision, data driven tools and platforms.
Working knowledge in deep learning, cloud platforms and analytic tools.
Proficiency in programming languages like python, C++,C, C#, Java, .NET, VB and
working knowledge in GIT.
Good knowledge in Additive manufacturing process (Laser Metal Deposition &
Powder Bed Fusion) Knowledge of implementing business process into functional codes.
Ability to understand requirements and translate them to describe and present
technical information within cross functional teams
Ability to understand the software development process, requirements and drive
them to technical solutions with a good knowledge of software standards and
specifications.
Able to communicate well in both writing and orally.
Demonstrated commitment to learning about digital technologies through your own
initiatives through courses, books, or side projects.
Experience working with scientific python libraries such as scikit-learn, scikit-image,
numpy, pandas, Pytorch and Tensorflow.
Be able to rapid prototype the latest algorithms to the current use case.
Sr Engineer For DES Data Engineer ML Software
Development
Job description:
Bachelors in Engineering degree or higher, preferably mechanical, automobile, aerospace, computer science etc., with 5+ years of relevant experience in data engineering, data
analytics, ML , software development or related fields.
Working knowledge of data structure, data modelling and database architecture for
efficient data storage, management and retrieval.
Proficiency in SQL & Python for real-time database management and database population.
Working knowledge in data cleaning, data transformation, data quality, data exploration
and data pipeline.
Examine datasets to derive conclusions and insights using statistical analysis and machine
learning techniques.
Create and train machine learning/ deep learning models, including algorithm selection,
feature engineering, and model tuning.
Design and implement application programming interfaces for software applications
communication.
Knowledge of implementing business process into functional codes.
Proficient in Python programming, familiar with TensorFlow, PyTorch, Django, Yolo,
OpenCV etc.
Proficiency in programming languages like python (backend), html, java script, css
(frontend) and working knowledge in GIT.
The ability to act as a functional/ technical/ integration representative in communications
with multiple stakeholders
