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- Must have 6+ years of experience in C/C++ programming language.
- Knowledge of Go programming language and Python programming language is a big plus.
- Strong background in L4-L7 Internet Protocols TCP, HTTP, HTTP2, GRPC and HTTPS/SSL/TLS.
- Background in Internet security related products such as Web Application Firewalls, API Security Gateways, Reverse Proxies and Forward Proxies
- Proven knowledge of Linux kernel internals (process scheduler, memory management, etc.)
- Experience with eBPF is a plus.
- Hands-on experience in cloud architectures (SaaS, PaaS, IaaS, distributed systems) with continuous delivery
- Familiar with containerization solutions like Docker/Kubernetes etc.
- Familiar with serverless technologies such as AWS Lambda.
- Exposure to machine learning technologies and distributed systems is a plus
- B.E/B.Tech/MS degree in Computer Science, or equivalent
Job Title : Senior Machine Learning Engineer
Experience : 8+ Years
Location : Chennai
Notice Period : Immediate Joiners Only
Work Mode : Hybrid
Job Summary :
We are seeking an experienced Machine Learning Engineer with a strong background in Python, ML algorithms, and data-driven development.
The ideal candidate should have hands-on experience with popular ML frameworks and tools, solid understanding of clustering and classification techniques, and be comfortable working in Unix-based environments with Agile teams.
Mandatory Skills :
- Programming Languages : Python
- Machine Learning : Strong experience with ML algorithms, models, and libraries such as Scikit-learn, TensorFlow, and PyTorch
- ML Concepts : Proficiency in supervised and unsupervised learning, including techniques such as K-Means, DBSCAN, and Fuzzy Clustering
- Operating Systems : RHEL or any Unix-based OS
- Databases : Oracle or any relational database
- Version Control : Git
- Development Methodologies : Agile
Desired Skills :
- Experience with issue tracking tools such as Azure DevOps or JIRA.
- Understanding of data science concepts.
- Familiarity with Big Data algorithms, models, and libraries.
- Design, develop, and maintain robust, scalable, and reusable automation frameworks using Selenium with Java.
- Write automation test scripts for web-based applications.
- Collaborate with developers, product managers, and other QA engineers in an Agile environment.
- Implement BDD/TDD testing practices using Cucumber.
- Execute and maintain automated test suites across CI/CD pipelines.
- Integrate automation tests with Jenkins/GitLab or other CI tools.
- Analyze test results, debug issues, and ensure high quality and performance.
- Actively contribute to QA strategy, planning, and improvement initiatives.
🎯 Ideal Candidate Profile:
This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.
📋 Must-Have Requirements:
Experience & Education Combinations:
Candidates must meet one of the following criteria:
- Doctorate (PhD) + 2 years of related work experience
- Master's Degree + 5 years of related work experience
- Bachelor's Degree + 7 years of related work experience
Technical Skills:
- Minimum 5 years of hands-on experience in all of the following:
- Python
- Deep Learning (DL)
- Machine Learning (ML)
- Algorithm Development
- Image Processing
- 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.
Industry & Institute:
- Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
- Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
- Preference: Candidates from engineering product companies are strongly preferred.
ℹ️ Additional Role Details:
- Interview Process: 3 technical rounds followed by 1 HR round.
- Work Model: Hybrid (requiring 3 days per week in the office).
Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.
📝 Required Skills and Competencies:
💻 Programming & ML Prototyping:
- Strong Proficiency: Python, Data Structures, and Algorithms.
- Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).
🤖 Machine Learning Frameworks:
- Core Concepts: Solid understanding of:
- Supervised/Unsupervised Learning
- Regularization
- Feature Engineering
- Model Selection
- Cross-Validation
- Ensemble Methods: Experience with models like XGBoost and LightGBM.
🧠 Deep Learning Techniques:
- Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
- Architectures: Knowledge of:
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory networks (LSTMs)
- Transformers
- Attention Mechanisms
- Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.
💬 LLMs & RAG (Retrieval-Augmented Generation):
- Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
- Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
- Advanced Techniques: Proficiency in:
- Prompt Engineering
- Function/Tool Calling
- JSON Schema Outputs
🛠️ Data & Tools:
- Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
- Tools: Experience with Git/GitHub, Jupyter, and basic Docker.
🎓 Minimum Qualifications (Experience & Education Combinations):
Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:
- Doctorate (Academic) Degree + 2 years of related work experience.
- Master's Level Degree + 5 years of related work experience.
- Bachelor's Level Degree + 7 years of related work experience.
⭐ Preferred Traits and Mindset:
- Academic Foundation: Solid academic background with strong applied ML/DL exposure.
- Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
- Communication: Clear communicator who can explain ML/LLM trade-offs simply.
- Ownership: Strong problem-solving and ownership mindset.
Development and Customization:
Build and customize Frappe modules to meet business requirements.
Develop new functionalities and troubleshoot issues in ERPNext applications.
Integrate third-party APIs for seamless interoperability.
Technical Support:
Provide technical support to end-users and resolve system issues.
Maintain technical documentation for implementations.
Collaboration:
Work with teams to gather requirements and recommend solutions.
Participate in code reviews for quality standards.
Continuous Improvement:
Stay updated with Frappe developments and optimize application performance.
Skills Required:
Proficiency in Python, JavaScript, and relational databases.
Knowledge of Frappe/ERPNext framework and object-oriented programming.
Experience with Git for version control.
Strong analytical skill
oin us and be a part of a company that thrives on creativity, technology, and excellence.
CHANCE TO WORK WITH APPS WITH 10LAKH CONCURRENT USERS IN GAMING INDUSTRY
Role Description
- You are a champion at Code reviews and Unit/Mock/integration Tests
- You have a strong sense of ownership of what you design and deploy
- You provide strong technical mentorship to team members
- You are an excellent team player
- You continuously learn and improve
We are seeking a highly motivated and experienced Senior Java Software Engineer to join our team. In this role, you will lead and manage software development projects across diverse domains such as Gaming, Banking, Fintech, Fantasy Sports, IT, E-commerce, Logistics, Healthcare, and On-Demand Services. You will be responsible for ensuring the successful delivery of projects, meeting deadlines, and exceeding client expectations.
Skill Sets
- Excellent Programmer: in Java Intermediate (Collections, Polymorphism, Design Patterns) to Expert level (Annotations, Lambda, Streaming, Concurrency)
- Startup Experience: Proven ability to take extreme ownership of results, with a history of leaving a lasting impact on the business.
- Relevant Experience: At least 6-10 years of experience demonstrated the ability to develop resilient, high-performance, and scalable code tailored to application usage demands.
- Java Framework Expertise: Significant experience in designing and building Java microservices with VERT.X, SPRING BOOT, with proficiency in Java.
- REST API & GraphQL: Hands-on expertise in development API endpoints with RESTful & GraphQL approach, also non-REST frameworks like gRPC over Thrift or Protobuf Nuances of TCP, UDP, HTTP, HTTP2, SSL, Thorough understanding of designing distributed systems without single point of failures
- Cloud Proficiency: Strong understanding and hands-on experience of building applications deployed on the cloud using Google Cloud Platform or Amazon Web Services (AWS), Docker, and Kubernetes, Experience writing batch/cron jobs using Python and Shell scripting.
- Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Time & Space Complexity: if methods you write are in the traffic request path, you know how to avoid unacceptable time complexity & space complexity.
- Database Knowledge: Strong experience with Data Structures & Algorithms working with MongoDB, PostgreSQL, MySQL, Redis, ElasticSearch, and other similar databases, ability to choose the right data store for the given requirements Relational, Graph, Object, Document, Columnar, Key-Value. Experience with Redis, Memcache, EHCache, Hazelcast, Aerospike
- Messaging Systems: Proficiency in working with RabbitMQ, BullMQ & others
- Agile Practices: At least a few years of experience practicing the SCRUM framework, collaborating with scrum masters, product owners, and other stakeholders.
- Collaboration & Communication: A team player who thrives in a remote, collaborative environment.
- Communication Skills: Strong verbal and written communication skills.
- Solutions-Oriented: Comfortable with the fast pace of startup life and adept at finding solutions to challenges.
Responsibilities
- Scalable Architecture: Lead the design and development of scalable architecture to ensure efficient performance and reliability of web and mobile applications.
- Informed Decisions: Make informed architectural decisions that align with both current and future business needs.
- Security & Privacy: Ensure security and privacy considerations are integrated into the selection of solutions and coding of back-end services and API endpoints.
- Code Quality & High Standards: Uphold high standards of code quality through regular reviews, maintaining best practices in programming.
- Robust Testing: Implement robust testing strategies to ensure code reliability and performance.
- Backend Development: Design, develop, and deploy backend services and APIs using VERT.X, SPRING BOOT Java and AWS technologies.
- NoSQL Expertise: Effective schema design and data modeling for NoSQL databases, ideally MongoDB, including robust indexing strategies.
- Technical Debt Management: Monitor and control technical debt to ensure it does not compromise application scalability or performance.
- Task Planning: Collaborate with the PM and BA to plan and delegate tasks efficiently among backend team members, ensuring clear objectives and timelines.
- User Requirements: Support the PM, BA team in identifying and analyzing user requirements to ensure development aligns with user expectations and project scope.
- Systems Thinking: Apply systems thinking to align with broader business objectives.
- Autonomy: Get things done independently without supervision and without creating future issues.
- Simplicity: Strive for simplicity in solutions and code.
- Proactive Problem Solving: Fix problems, even those outside your immediate responsibility.
- Solution-Oriented: Focus on providing solutions to problems, not just writing code.
Life@Sciflare:
- An exciting & lively workplace gives you the chance to work in an environment where you may unleash your creativity and inventiveness to the best extent possible.
- Work in a collaborative setting where your cooperative team contributes new perspectives to your objectives and forges strong bonds.
- Growth mindset: You are nurtured through each stage of your professional advancement by learning and unlearning new things.
We pride ourselves on being able to associate with our clients to develop custom software solutions. An Engineer’s Life @ SequoiaAT As an Engineer, SequoiaAT will be a dream job for you. You will have opportunity to work on technologies and product before they hit the market and get popular. If working on a gadget you may get to own one of them as an early tester. Working with us we have a be your own boss culture so you will have plenty of opportunities to interact directly with our customers and their customer.
What Technology Skills is required for this ? Primary Skills : Core Java What’s expected from your experience in primary skill area ?
A good grasp over Objected oriented programming concepts
Excellent expereince in Core Java development
Secondary Skills (Desirable) :
Mobile App development Knowledge
Bonus points: If you have a GitHub or open source submission
Next Steps After you submit your resume, We will call you . Round one of our interview is online only and everyone planning to join SequoiaAT has to undergo ( you are right everyone!!!- Be it an Engineer or a VP) . This enables us to respect your time and our time to quickly gauge if there is a right fit. Once you clear that we will arrange for 2-3 more rounds of discussion with peers to ensure that we are the right company for you and vice versa .
Looking forward to seeing you on board SequoiaAT team soon
Excellent communication skills
Excellent presentation skills.
The ability to handle pressure and meet deadlines
Quick Learning Ability
JOB DESCRIPTION
Responsible for generating sales with new/existing customers.
Developing opportunities with new customers
Reaching the targets and goals set for your profile.
Establishing, maintaining and expanding your customer base.
Increasing business opportunities through various routes to market
Follow up on the database / leads provided by Company.
Keeping up to date with products and competitors
Meeting With Clients on field
Report on sales activities to top management.
JOB Role : Senior Platform Consultant
Essential Skills :
- Expertise in SFMC Email Marketing Tool
- Good Experience in SQL
- Experience in Data model design
- Expertise in Campaign Orchestration
- Life cycle programs and personalization
- Expertise in Marketing data optimization and List cleansing
- Experience in Data optimization and Hygiene
- Experience in Personalization in campaigns
- Good Business understanding of Digital Marketing
- Excellent communication skills
- Preferably with SFMC Certification (Marketing Cloud Specialist or Email Specialist)
Role Description :
- The person will be required to work on SFMC platform for creating and executing marketing campaigns.
- Ability to work independently and work directly with Marketing teams
- Drive the strategy for the email program to deliver strong engagement and results, through audience segmentation, deliverability, best practices, and data analysis.
- Analyse the effectiveness of Digital Marketing deliverables, measures against objectives and reports results.
- Flawless delivery of daily campaigns, troubleshoot issues that arise and implement solutions to mitigate future problems
Responsibilities
- Designing and implementing new features and functionality
- Establishing and guiding the website’s architecture
- Ensuring high-performance and availability, and managing all technical aspects of the CMS
- Helping formulate an effective, responsive design and turning it into a working theme and plugin.
Skills and Qualifications
- Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery
- Experience building user interfaces for websites and/or web applications
- Experience designing and developing responsive design websites
- Comfortable working with debugging tools like Firebug, Chrome inspector, etc.
- Ability to understand CSS changes and their ramifications to ensure consistent style across platforms and browsers
- Ability to convert comprehensive layout and wireframes into working HTML pages
- Knowledge of how to interact with RESTful APIs and formats (JSON, XML)
- Strong understanding of PHP back-end development






