Content Writer

Position: Accountant (Leather Export house)- Female

Experience: 5 + Year in Export house (Leather/garrments/textile)

salary: Negotiable

Industry: Garments/ apparel/ fashion

Qualification: CA qualified

Location: IMT Manesar

candidate must have experience in Export house (leather/garments/home textile)

Must have CA qualified.

good communication skill, presentable smart.

mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

satish: 8 8O 274 97 4 3

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Job Title - Sr. Administrator, IT Infrastructure Storage

Job Duties -

• Administer IT storage recovery and backup systems. Perform complex provisioning, advanced maintenance, data replication, disaster recovery, data migration, and documentation.
• Participate in ongoing maintenance, utilization, availability, and security of storage infrastructure.
• Perform IT implementations, performance analysis and optimization, monitoring, problem resolution, upgrade planning and execution, and process creation and documentation.
• Analyze and work to improve the quality of services offered by IT. Participate in ongoing technology evaluations to keep up with technology trends and industry standards.
• Be able to script in Perl or Python and perform capacity planning and growth projections.
• Resolve complex IT issues as pertain to the environment and keep abreast on storage & backup technology.
• Experience working with ISILON Storage is a must-have skill.
• Good to have experience in ransomware, anomaly detection, airgap and vaulting technologies.

Education and Experience Requirements -

The position requires a Bachelor’s degree in

Computer Science, Computer Engineering or related field plus 5 years of post-

baccalaureate progressive experience in IT storage environments.

Skills Requirements- Experience must include:

• Expertise in Linux and Windows – Good to have Cloud knowledge
• Utilizing OS-enabled tools for data copy like rsync, robocopy and other tools
• Setting up NFS, SMB, snapshots, replication, SnapMirror, and SyncIQ
• Experience in NAS storage technologies like Netapp, Power scale, Isilon, Qumulo and Weka
• Dell EMC Insight IQ, DataIQ and ESRS, Netapp tools (OCUM/AIUM)
• Rubrik, Cohesity, Veeam and other comparable backup technologies
• Good to have Monitoring and Alerting like Prometheus, SolarWinds, telegraph and Grafana

Position Title: SDET 2/3
Software Development Engineer in Test (SDET)
Position/Role Description
This position is for a tester with strong coding skills who likes challenges - someone who is constantly striving for excellence in software test automation.
Responsibilities include:
* Develop automated test cases on a day-to-day basis
* Gather and prioritize user requirements, feed these requirements into overall Automation Framework requirements and test plans
* Train team members on tool use and test automation tools, practices, techniques and best practices
* Communicate cross-functionally throughout the engineering organization
* Continuously monitor and boost test coverage across the product

Minimum Job Qualifications:
* Bachelor’s degree or better in CS or related field, with 6+ years experience in software test.
* Exposure to best practices in SQA  including code reviews, debugging, troubleshooting and CI processes
* Experience in front-end (UI/Web) automation using Java ,Appium or any other app automation testing tool  or Experience in backend Testing using Java, API-Testing,Rest assured ,and Performance testing using Jmeter
* Excellent communications and technical presentation skills
* Initiative to research and build solutions to tough problems in domains like Flash, OpenGL, WebGL where off-the-shelf automation tools might not be available
* Some experience/comfort with working in a Linux/Unix environment
* Excellent analytical, problem-solving, troubleshooting skills.

Preferred (Bonus) Qualifications:
* Knowledge of current build and test automation tools and processes, such as JUnit/TestNG, Maven, Jenkins, Mockito, JBehave, Git, etc
* Experience with whitebox testing, code reviews, SDK testing
* Experience with performance testing, stress testing, and advanced aspects of system testing automation.
* Knowledge of at least one scripting language (Python, Bash, Ruby or comparable).

 Please acknowledge and revert with your availability on weekday betweem 11:30 AM to 2:30 PM