Java spring boot developer

🎯 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.

Please Apply - https://zrec.in/L51Qf?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             Senior DevOps Engineer (Infrastructure/SRE)

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:      4-6 years

Education:           B.Tech/MCA

Notice Period:     Immediately

About Us

At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for cloud, infrastructure, DevOps, and security. We partner with clients to transform and optimize their technology landscape, ensuring resilience, scalability, cost efficiency and innovation.

Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.

We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.

Role Summary

We are looking for a Senior DevOps Engineer (Infrastructure) to design, automate, and manage cloud-based and datacentre infrastructure for diverse projects. The ideal candidate will have deep expertise in a public cloud platform (AWS, GCP, or Azure), with a strong focus on cost optimization, security best practices, and infrastructure automation using tools like Terraform and CI/CD pipelines.

This role involves designing scalable architectures (containers, serverless, and VMs), managing databases, and ensuring system observability with tools like Prometheus and Grafana. Strong leadership, client communication, and team mentoring skills are essential. Experience with VPN technologies and configuration management tools (Ansible, Helm) is also critical. Multi-cloud experience and familiarity with APM tools are a plus.

Ideal Candidate Profile

• Solid 4-6 years of experience as a DevOps engineer with a proven track record of architecting and automating solutions on Cloud
• Experience in troubleshooting production incidents and handling high-pressure situations.
• Strong leadership skills and the ability to mentor team members and provide guidance on best practices.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Extensive experience with Kubernetes, Terraform, ArgoCD, and Helm.
• Strong with at least one public cloud AWS/GCP/Azure
• Strong with Cost Optimization and Security Best practices
• Strong with Infrastructure automation using Terraform and CI/CD automation
• Strong with Configuration Management using Ansible, Helm etc
• Good with designing architectures (Containers, Serverless, VMs etc)
• Hands-on Experience working on Multiple Projects
• Strong with Client communication and requirements gathering
• Databases management experience
• Good experience with Prometheus, Grafana & Alert Manager
• Able to manage multiple clients and take ownership of client issues.
• Experience with Git and coding best practices
• Proficiency in cloud networking, including VPCs, DNS, VPNs (OpenVPN, OpenSwan, Pritunl, Site-to-Site VPNs), load balancers, and firewalls, ensuring secure and efficient connectivity.
• Strong understanding of cloud security best practices, identity and access management (IAM), and compliance requirements for modern infrastructure.

Good to have

• Multi-cloud experience with AWS, GCP & Azure
• Experience with APM & Observability tools like - Newrelic, Datadog, and OpenTelemetry
• Proficiency in scripting languages (Python, Go) for automation and tooling to improve infrastructure and application reliability.

Key Responsibilities

1. Design and Development:
2. Architect, design, and develop high-quality, scalable, and secure cloud-based software solutions.
3. Collaborate with product and engineering teams to translate business requirements into technical specifications.
4. Write clean, maintainable, and efficient code, following best practices and coding standards.
5. Cloud Infrastructure:
6. Develop and optimise cloud-native applications, leveraging cloud services like AWS, Azure, or Google Cloud Platform (GCP).
7. Implement and manage CI/CD pipelines for automated deployment and testing.
8. Ensure the security, reliability, and performance of cloud infrastructure.
9. Technical Leadership:
10. Mentor and guide junior engineers, providing technical leadership and fostering a collaborative team environment.
11. Participate in code reviews, ensuring adherence to best practices and high-quality code delivery.
12. Lead technical discussions and contribute to architectural decisions.
13. Problem Solving and Troubleshooting:
14. Identify, diagnose, and resolve complex software and infrastructure issues.
15. Perform root cause analysis for production incidents and implement preventative measures.
16. Continuous Improvement:
17. Stay up-to-date with the latest industry trends, tools, and technologies in cloud computing and software engineering.
18. Contribute to the continuous improvement of development processes, tools, and methodologies.
19. Drive innovation by experimenting with new technologies and solutions to enhance the platform.
20. Collaboration:
21. Work closely with DevOps, QA, and other teams to ensure smooth integration and delivery of software releases.
22. Communicate effectively with stakeholders, including technical and non-technical team members.
23. Client Interaction & Management: 
24. Will serve as a direct point of contact for multiple clients.
25. Able to handle the unique technical needs and challenges of two or more clients concurrently. 
26. Involve both direct interaction with clients and internal team coordination.
27. Production Systems Management: 
28. Must have extensive experience in managing, monitoring, and debugging production environments. 
29. Will work on troubleshooting complex issues and ensure that production systems are running smoothly with minimal downtime.

• Research and identify new business opportunities - including new markets, growth areas, trends, customers, partnerships, products and services - or new ways of reaching existing markets
• seek out the appropriate contact in an organisation
• generate leads and cold call prospective customers
• meet with customers/clients face to face or over the phone
• foster and develop relationships with customers/clients
• understand the needs of your customers and be able to respond effectively with a plan of how to meet these
• think strategically - seeing the bigger picture and setting aims and objectives in order to develop and improve the business
• have a good understanding of the businesses' products or services and be able to advise others about them
• ensure staff are on board throughout the organisation, and understand the need for change and what is required of them
• discuss promotional strategy and activities with the CEO
• seek ways of improving the way the business operates
• attend seminars, conferences and events where appropriate
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Build long-term relationships with new and existing customers

Job Description

* Any Bachelor’s degree.

* Should have 2 + years of experience in Testing Mobile (Android & IOS platforms)

* Should have experience in JIRA.

* Experience in Mobile game Testing (Casino & Slot games) is a plus

* Should have experience in taking crash/freeze logs.

* Should have experience on Android Studio, Xcode, GameBench, iTools

* Experience on Charles proxy is a plus.

* Ability to write test plans and communicate Bugs effectively.

* Must have experience in creating and executing test cases.

* Passion for gaming and advanced computer skills.

* Advanced understanding of game dynamics, sandbox explorations, side quests, and hidden levels.

* Attention to detail.

* Should be a good team player

* Effective communication skills.

* Ability to focus for extended periods.

* Patience and persistence.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

• Work with data science teams ,development teams and product managers to ideate
• software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software .
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software
• Capable to handle the individual module / Project

• 2-5 years of relevant experience as a Full Stack Developer or similar role
• Experience developing Web based,desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery etc).
•  Knowledge of multiple back-end languages (e.g. Java, Python,C#) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Experience in React.js .
• Experience in Python Django Framework .
• Familiarity with databases (e.g. MySQL,Postgresql, MongoDB), web servers (e.g.Apache) and UI/UX design .
• Familiarity with Cloud services like AWS, GCP.
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind

Designation/Role : Wealth Manager

Location : WFH

Working Days : 5 Days

Experience: 2 to 5 year(s)

Qualification : Any Graduation

A Wealth Manager is required to interact with customers for the most part of his/her day. The job also requires thorough financial and alternative investment sector knowledge in order to provide sound and reliable advice to clients. The major skills and competencies required are:

Excellent people management skills |  Client-driven with a strong focus on the quality of service

Strong interpersonal communication skills | An excellent understanding of financial planning, wealth management, Alternative investment & understanding client needs | Ability to analyse and research information | Ability to explain complex information clearly and simply

Responsibilities: 

• Excellent people management skills 
• Client-driven with a strong focus on the quality of service.
• Strong interpersonal communication skills.
• An excellent understanding of financial planning, wealth management, Alternative investment & understanding client needs. 
• Ability to analyse and research information 
• Ability to explain complex information clearly and simply

Requirements :

• Proven track record in call handling both inbound & outbound
• Must have B2C experience
• Must have basic knowledge of business financial products
• Strong phone presence and experience dialing dozens of calls per day
• Excellent verbal and written communications skills
• Strong listening and presentation skills
• Ability to multitask, prioritize, and manage time effectively
• Prior work experience is Financial organisation preferred