Image Processing Engineer

What You'll Do:

Design, develop, and deploy machine learning models for real-world applications

Work with large datasets, perform data preprocessing, feature engineering, and model evaluation

Collaborate with cross-functional teams to integrate ML solutions into production

Stay up to date with the latest ML/AI research and technologies

What We’re Looking For:

Solid experience with Python and popular ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)

Experience with data pipelines, model deployment, and performance tuning

Familiarity with cloud platforms (AWS/GCP/Azure) is a plus

Strong problem-solving and analytical skills

Excellent communication and teamwork abilities

Project Overview

Be part of developing "Fenrir Security" - a groundbreaking autonomous security testing platform. We're creating an AI-powered security testing solution that integrates with an Electron desktop application. This contract role offers the opportunity to build cutting-edge autonomous agent technology for security testing applications.

Contract Details

• Duration: Initial 4-month contract with possibility of extension
• Work Arrangement: Remote with regular online collaboration
• Compensation: Competitive rates based on experience (₹1,00,000-₹1,80,000 monthly)
• Hours: Flexible, approximately 40 hours weekly

Role & Responsibilities

• Develop the core autonomous agent architecture for security testing
• Design and implement the agent's planning and execution capabilities
• Create natural language interfaces for security test configuration
• Build knowledge representation systems for security testing methodologies
• Implement security vulnerability detection and analysis components
• Integrate autonomous capabilities with the Electron application
• Create learning mechanisms to improve testing efficacy over time
• Collaborate with security expert to encode testing approaches
• Deliver functional autonomous testing components at regular milestones
• Participate in technical planning and architecture decisions

Skills & Experience

• 3+ years of AI/ML development experience
• Strong background in autonomous agent systems or similar AI architectures
• Experience with LLM integration and prompt engineering
• Proficiency in Python and relevant AI/ML frameworks
• Knowledge of natural language processing techniques
• Understanding of machine learning approaches for security applications (preferred)
• Ability to work independently with minimal supervision
• Strong problem-solving abilities and communication skills

Why Join Us

• Work at the cutting edge of AI and cybersecurity technology
• Flexible working arrangements and competitive compensation
• Opportunity to solve novel technical challenges
• Potential for equity or profit-sharing in future funding rounds
• Build portfolio-worthy work in an innovative field

Selection Process

1. Initial screening call
2. Technical assessment (paid task)
3. Final interview with founder
4. Contract discussion and onboarding

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

·        Qualification: bachelor’s or master’s degree in computer science, Engineering, or related field.

·        Proven 4+ years of experience in full stack development, including proficiency with React, Tailwind CSS, Python, and Flask.

·        Strong understanding of Graph QL concepts and hands-on experience with Ariadne or similar frameworks.

·        Familiarity with containerization using Docker for application deployment.

·        Demonstrated expertise in machine learning model integration, preferably using the Hugging Face framework.

·        Experience deploying machine learning models on cloud platforms such as Replicate and AWS is a strong plus.

·        Excellent problem-solving skills and a proactive attitude towards learning and adapting to new technologies.

·        Should have experience in Backend: Python, Flask Framework, Langchain ML Ops Framework, Ariadne Graph QL Framework, Docker. Frontend: React, Tailwind. ML Model Development – Hugging Face Model Training, ML Deployment onto Replicate or AWS

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

THE IDEAL CANDIDATE WILL

• Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
• Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
• Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
• Work hands-on across various MLOps problems and provide thought leadership
• Grow and manage large teams with diverse skillsets
• Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

ELIGIBILITY CRITERIA

• BE/BTech/MTech (Specialization/courses in ML/DS)
• At-least 7+ years of Consulting services delivery experience
• Very strong problem-solving skills & work ethics
• Possesses strong analytical/logical thinking, storyboarding and executive communication skills
• 5+ years of experience in Python/R, SQL
• 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
• Hands on work experience in DevOps
• Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
• Exposure on cloud technologies like Azure, AWS or GCP
• Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
• Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
• Experience with one or more Container-ecosystem (Docker, Kubernetes)
• Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
• Good understanding of OOP & Data Structures concepts

Nice to Have:

• Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
• Experience in Helm is a plus
• Strong understanding of data infrastructure, data warehouse, or data engineering

You can expect to –

• Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
• Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
• Work in a diverse environment that keeps evolving
• Hone your entrepreneurial skills as you contribute to growth of the organization

Job Description:

Looking for engineers with one of the below requirements:

• 2-5 years of embedded development experience in a Linux environment with C programming
• With Option1:
• EDK2 experience
• SCT experience
• knowledge of TPMs
• With Option2:
• worked on bootloaders or uboot