Image Processing Engineer

Position : Java NLP Engineer

Location : Remote/Bangalore/Pune

Experience : 2+ Years

Responsibilities :

• Design and develop NLP solutions using Java or transition to Java-based development.
• Utilize NLP libraries like Stanford NLP, SpaCy, NLTK, or OpenNLP.
• Perform tasks like POS Tagging, Lemmatization, Dependency Parsing, and Phrase Chunking.
• Implement advanced NLP techniques, including text summarization and knowledge extraction.
• Develop rule-based NLP systems and analyze textual data.
• Apply graph algorithms to tasks such as semantic analysis and knowledge representation.
• Leverage resources like WordNet or ConceptNet for language models.
• Conduct information extraction using regular expressions.

Requirements :

• 2+ Years of experience in NLP (industry or academic).
• Proficiency in Java or readiness to adopt Java-based workflows.
• Expertise in syntactic analysis and NLP frameworks.
• Experience with text datasets and building NLP pipelines.
• Knowledge of graph algorithms and lexical databases (WordNet/ConceptNet preferred).
• Strong skills in crafting regular expressions for text extraction.
• Collaborative mindset with excellent problem-solving abilities.

ROLES AND RESPONSIBILITIES:

Standardization and Governance:

• Establishing and maintaining project management standards, processes, and methodologies.
• Ensuring consistent application of project management policies and procedures.
• Implementing and managing project governance processes.

Resource Management:

• Facilitating the sharing of resources, tools, and methodologies across projects.
• Planning and allocating resources effectively.
• Managing resource capacity and forecasting future needs.

Communication and Reporting:

• Ensuring effective communication and information flow among project teams and stakeholders.
• Monitoring project progress and reporting on performance.
• Communicating strategic work progress, including risks and benefits.

Project Portfolio Management:

• Supporting strategic decision-making by aligning projects with organizational goals.
• Selecting and prioritizing projects based on business objectives.
• Managing project portfolios and ensuring efficient resource allocation across projects.

Process Improvement:

• Identifying and implementing industry best practices into workflows.
• Improving project management processes and methodologies.
• Optimizing project delivery and resource utilization.

Training and Support:

• Providing training and support to project managers and team members.
• Offering project management tools, best practices, and reporting templates.

Other Responsibilities:

• Managing documentation of project history for future reference.
• Coaching project teams on implementing project management steps.
• Analysing financial data and managing project costs.
• Interfacing with functional units (Domain, Delivery, Support, Devops, HR etc).
• Advising and supporting senior management.

IDEAL CANDIDATE:

• 3+ years of proven experience in Project Management roles with strong exposure to PMO processes, standards, and governance frameworks.
• Demonstrated ability to manage project status tracking, risk assessments, budgeting, variance analysis, and defect tracking across multiple projects.
• Proficient in Project Planning and Scheduling using tools like MS Project and Advanced Excel (e.g., Gantt charts, pivot tables, macros).
• Experienced in developing project dashboards, reports, and executive summaries for senior management and stakeholders.
• Active participant in Agile environments, attending and contributing to Scrum calls, sprint planning, and retrospectives.
• Holds a Bachelor’s degree in a relevant field (e.g., Engineering, Business, IT, etc.).
• Preferably familiar with Jira, Azure DevOps, and Power BI for tracking and visualization of project data.
• Exposure to working in product-based companies or fast-paced, innovation-driven environments is a strong advantage.

Senior Cloud Engineer Job Description

Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]

Location: Remote [REQUIRES WORKING IN CST TIME ZONE]

Position Overview

The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud

strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives

through innovative cloud engineering.

Key Responsibilities

Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)

Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration

Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes

Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements

Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools

Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management

Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation

Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues

Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence

Stay current with emerging cloud technologies, trends, and best practices,

Required Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
• 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
• Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
• Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
• Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
• Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
• Experience with cloud security, governance, and compliance frameworks
• Excellent analytical, troubleshooting, and root cause analysis skills
• Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
• Ability to work independently, manage multiple priorities, and lead complex projects to completion

Preferred Qualifications

• Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
• Experience with cloud cost optimization and FinOps practices
• Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
• Exposure to cloud database technologies (SQL, NoSQL, managed database services)
• Knowledge of cloud migration strategies and hybrid cloud architectures

Greetings from Wissen Technology,

Please find the attached Job description:

Job Title: Talent Acquisition Specialist

Experience: 2-6 Years

Location: Bangalore

Employment Type: Full-time

Notice Period: Immediate joiners preferred

About Wissen Technology

Wissen Technology is a fast-growing technology consulting firm offering world-class services to clients across industries. We focus on leveraging the latest advancements in technology and talent to deliver cutting-edge solutions. As a part of our expansion plans, we are looking for a passionate Talent Acquisition Specialist to join our dynamic HR team.

Key Responsibilities:

• End-to-End Recruitment: Manage the entire recruitment life cycle for technology and non-technology roles, from understanding job requirements to onboarding.
• Sourcing & Screening: Use various sourcing methods (job portals, social media, networking) to find suitable candidates and screen resumes to shortlist qualified applicants.
• Interview Coordination: Schedule and conduct interviews in coordination with hiring managers, ensuring a smooth and efficient interview process.
• Stakeholder Management: Collaborate closely with department heads and team leads to understand hiring needs and align recruitment strategies.
• Candidate Experience: Ensure a positive candidate experience through clear communication, timely feedback, and a streamlined recruitment process.
• Talent Pipelining: Build and maintain a talent pool of qualified professionals by developing relationships with potential candidates for future roles.
• Employer Branding: Actively promote Wissen Technology's employer brand to attract top talent, ensuring a strong presence in the job market.
• Offer Negotiation: Manage compensation discussions and job offers in alignment with the company's salary structure.
• Compliance: Ensure recruitment activities comply with internal policies and legal requirements, including diversity and inclusion goals.

Required Skills:

• Recruitment Expertise: Strong knowledge and experience in end-to-end recruitment, particularly in the technology domain.
• Sourcing Skills: Proficiency in using job portals (Naukri, Monster, LinkedIn), professional networking platforms, and social media for talent sourcing.
• Communication & Negotiation: Excellent verbal and written communication skills with the ability to negotiate effectively.
• Tech-Savvy: Familiarity with Applicant Tracking Systems (ATS) and HR recruitment tools.
• Stakeholder Management: Strong interpersonal skills to engage with internal stakeholders and candidates effectively.
• Adaptability: Ability to manage multiple recruitment processes simultaneously in a fast-paced environment.

Qualifications:

• Bachelor’s or Master’s degree in Human Resources, Business Administration, or a related field.
• 4-6 years of experience in Talent Acquisition, with a focus on the technology sector.
• Proven track record of hiring for tech and non-tech roles in a competitive market.
• Immediate joiners are highly preferred.

Role: Azure AI Tech Lead

Exp-3.5-7 Years

Location: Remote / Noida (NCR)

Notice Period: Immediate to 15 days

Mandatory Skills: Python, Azure AI/ML, PyTorch, TensorFlow, JAX, HuggingFace, LangChain, Kubeflow, MLflow, LLMs, RAG, MLOps, Docker, Kubernetes, Generative AI, Model Deployment, Prometheus, Grafana

JOB DESCRIPTION

As the Azure AI Tech Lead, you will serve as the principal technical expert leading the design, development, and deployment of advanced AI and ML solutions on the Microsoft Azure platform. You will guide a team of engineers, establish robust architectures, and drive end-to-end implementation of AI projects—transforming proof-of-concepts into scalable, production-ready systems.

Key Responsibilities:

• Lead architectural design and development of AI/ML solutions using Azure AI, Azure OpenAI, and Cognitive Services.
• Develop and deploy scalable AI systems with best practices in MLOps across the full model lifecycle.
• Mentor and upskill AI/ML engineers through technical reviews, training, and guidance.
• Implement advanced generative AI techniques including LLM fine-tuning, RAG systems, and diffusion models.
• Collaborate cross-functionally to translate business goals into innovative AI solutions.
• Enforce governance, responsible AI practices, and performance optimization standards.
• Stay ahead of trends in LLMs, agentic AI, and applied research to shape next-gen solutions.

Qualifications:

• Bachelor’s or Master’s in Computer Science or related field.
• 3.5–7 years of experience delivering end-to-end AI/ML solutions.
• Strong expertise in Azure AI ecosystem and production-grade model deployment.
• Deep technical understanding of ML, DL, Generative AI, and MLOps pipelines.
• Excellent analytical and problem-solving abilities; applied research or open-source contributions preferred.

Nature of Experience: exposure to any of the sections in production i.e. Core Coil Assembly,

Separate Phase Assembly, Winding, VPD Ovening, Tanking

Responsibilities:

 Completion of shop floor loading & monitor closely productivity of workers.

 Ensure completion of daily production targets adhering to defined standards of cost, quality

and time

 Attend productivity meetings to discuss the discrepancies in the planned vs actual plan.

 Preparation of productivity reports based on throughput & timeliness for presenting the same

in productivity meetings.

 Undertake Production Planning and Control activities ensuring adherence to production

targets in terms of cost, quality, throughput & timeliness Coordinate with the technical

design (electrical and mechanical) function for a design review before the start of every work

order and for clarifications on design parameters during production

 Ensure material requisitions are raised on time to obtain the material from the stores team

 Ensure the adherence of the workers to the shift schedule.

 Drive discipline on the shop floor and maintain healthy industrial relations in coordination

with the HR function

 Drive a culture of continuous improvement in section of the production process

 Ensure appropriate training is been given to the winding team by conducting various training

sessions.

 Ensure all the documentation & statutory compliances are fulfilled in timely manner to

facilitate completion of all the audits.

 Identify production bottlenecks and ensure elimination of the same in coordination with the

engineering function

 Drive cost savings through cost effective utilization of resources, process improvements and

reduction in operational expenses / overheads

 Ensure all production related documentations / records are maintained and updated through

SAP

 Ensure compliance to SOP’s ,process flows and production protocol to ensure minimum

deviation from specifications

Job Description:

We are looking for a good JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

•Candidate should have basic communication and good convincing power.

•Candidate should be comfortable with calling.

•Lead generation, Ability to work in a team or individually as and when required.

•Outstanding problem solving skills.

•Have great interpersonal skills.

•Candidate should have strong organizational skills.