Senior AI Engineer

Position name: SAP Technology Specialist L2

Location: Mumbai Andheri East, In Office 

Shift: Rotational Shift (Hybrid-2 days a week-Wed & Thursday)

Role Responsibilities:

• Independently handle complex tasks like system, refreshes, DB upgrades, SAP and DB maintenance tasks, support pack upgrades, performance analysis and troubleshooting.
• Administer the SAP database (perform database upgrades, apply database maintenance, administer database performance, manage database storage, database problem determination and resolution.
• Provide technical and customer support and monitor system performance.
• Perform SAP client administration (create client, copy client, delete client, export/import client).
• Handle application alerts.
• Apply and manage SAP maintenances (hot packages and kernel upgrades) through all systems using a structured methodology.
• Overall System Monitoring (work processes, users, system logs, short dumps, locks, developer traces, system traces, disk space, etc.).
• Analysis of ABAP dumps and system logs errors messages and provide solution.
• Implementing SAP OSS Notes as requested from customer and after coordinating with specialist.
• Apply and maintain certificates on SAP ABAP, JAVA, web dispatcher etc.
• Maintain documentation and procedures on all provided Services, in a supportive role.

Skills and qualifications:

Must Have Skills:

• 4 to 8 years SAP BASIS administration experience.
• Hold at least a bachelor's degree in an IT-related field.
• Excellent communication skills (English - verbal and written).
• Extensive knowledge of information technology, and a solid understanding of SAP software, configuration, and maintenance.
• Strong Linux and Windows administration hands-on experience.
• Good knowledge in one or more of the following databases (SQL, MaxDB, DB2, Oracle, HANA, Sybase ASE) and management tools.
• SAP Security (Basic knowledge and understanding)
• Any SAP certifications in NW administration.
• Motivated and quick learner.

Nice to have skills:

•  Constantly improve, continuous education and keeping up to date with the rapidly evolving SAP industry.
• Ability to participate across various teams, cultures, geographies, and time zones.
• Ability to handle multiple tasks simultaneously.
• Innovative problem solving & analysis.
• Good team player.

Benefits 

• Work from Home set-up 
• Comprehensive medical benefits 
•  Gratuity, PF, EPS and Bonus, NPS 
•  Shift Allowances 
• On-call Allowance 
• Health and wellness Allowances 
• Learning and Development Allowances 
• No question asked certification policy. 
• Certification Bounty Bonus

Package:  24.6 LPA.

Skills: The candidate should have a good experience in SAP Basis working on at least two of the databases: HANA, SQL, Oracle, DB2.

Job description

We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.

This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.

Key Responsibilities

Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.

Implement GenAI use cases using LLMs

Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.

Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.

Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.

Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.

Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.

Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.

Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.

Technical Skills Required Core ML & AI Skills (Must-Have):

Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.

Experience with real-world model deployment and scaling, not just notebooks or prototypes.

Good understanding of ML Ops, model lifecycle, and pipeline orchestration.

Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.

SQL proficiency and experience querying large datasets.

Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.

Cloud experience in GCP (preferred), AWS, or Azure.

Cloud & Big Data Stack

Hands-on experience with:

GCP tools – Vertex AI, Kubeflow, BigQuery, GCS

Or equivalent AWS/Azure ML stacks

Familiar with Airflow, PySpark, or other pipeline orchestration tools.

Experience reading/writing data from/to cloud services.

Qualifications

Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.

4+ years of experience in data analytics and machine learning roles.

2+ years of experience in Python or similar programming languages (Java, Scala, Rust).

Must have experience deploying and scaling ML models in production.

Nice to Have

Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.

Background in academic research to production applications.

Building APIs and monitoring production ML models.

Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.

Communication & Collaboration

Strong ability to explain complex models and insights to both technical and non-technical stakeholders.

Ask the right questions, clarify objectives, and align analytics with business goals.

Comfortable working cross-functionally in agile and collaborative teams.

Important Note:

This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.

Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).

Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.

Location: Gurgaon, Haryana (Hybrid: 4-5 Days/Month in Office)

Company: PLEXO HR Solutions

Duration: 6 Months Internship

Stipend: ₹5,000 – ₹15,000/month

Eligibility: Recent Graduates Only

Working Days: 6 Days a Week

PPO Opportunity: Yes

About Us:

PLEXO HR Solutions is a forward-thinking HR Consulting firm helping organizations find the best talent and create high-impact HR strategies. We work closely with startups across India and globally, driving growth through elevated people practices.

Key Responsibilities:

• Lead Generation: Identify potential B2B clients (startups & organizations) in India and abroad through research, LinkedIn, Crunchbase, and other platforms.
• Client Outreach & Agreement: Initiate conversations, pitch PLEXO HR Solutions’ model, and convert prospects into clients via meetings/calls/emails; coordinate and facilitate sign-up agreements.
• Digital & Social Media Marketing: Engage and network via LinkedIn, Instagram, Email, and relevant online channels to promote company services.
• Candidate Pipeline Development: Create robust candidate sourcing channels to ensure a steady pool of talent for diverse client requirements.
• Campus Collaboration: Reach out and coordinate with colleges and universities for hiring collaborations, campus drives, and internship opportunities.
• Market Analysis & Reporting: Research market trends, competitor activities, and prepare weekly reports on outreach and conversions.
• Brand Advocacy: Represent PLEXO HR Solutions professionally in all client/candidate communications and marketing endeavors.

Who Should Apply:

• Recent graduates (any discipline)—must have completed graduation.
• Eager, proactive, and passionate about sales, marketing, and HR consulting.
• Excellent spoken and written communication skills.
• Strong LinkedIn presence and experience in client research & outreach.
• Knowledge of using platforms like LinkedIn, Crunchbase, and other social media.
• Prior exposure to startups, B2B marketing, or campus collaboration is a plus.
• Willingness to visit the Gurgaon office 4-5 times a month (mandatory).
• Comfortable working 6 days a week.

What We Offer:

• Hands-on experience working closely with founders and leadership teams.
• Exposure to international markets, high-growth startups, and innovative HR practices.
• Stipend between ₹5,000 to ₹15,000 per month, based on performance and experience.
• Pre-Placement Offer (PPO) for exceptional performers.
• Network expansion with industry leaders and HR professionals.

1. Experience in JTAG, MBIST , Scan Compression, ATPG, Fault Simulation.
2. Experience with industry ATPG tools Synopsys Tetra MAX, Cadence Encounter Test or
3. Mentor Fast Scan ATPG tools Synopsys DFT scan insertion.
4. Experience with industry simulation tools such as VCS, ModelSim, NC Verilog etc.
5. Pattern Simulation with and without timing annotation & debugging

Roles and Responsibilities:

• Strong experience with programming microcontrollers like Arduino, ESP32, and ESP8266.
• Experience with Embedded C/C++.
• Experience with Raspberry Pi, Python, and OpenCV.
• Experience with Low power Devices would be preferred
• Knowledge about communication protocols (UART, I2C, etc.)
• Experience with Wi-Fi, LoRa, GSM, M2M, SImcom, and Quactel Modules.
• Experience with 3d modeling (preferred).
• Experience with 3d printers (preferred).
• Experience with Hardware design and knowledge of basic electronics.
• Experience with   Software will be preferred.ss

Detailed Job role (daily basis) done by the IOT developer.

·       Design hardware that meets the needs of the application.

·       Support for current hardware, testing, and bug-fixing.

·       Create, maintain, and document microcontroller code.

·       prototyping, testing, and soldering

·       Making 3D/CAD models for PCBs.

Role Description

Who are WE?

Product photography for Furniture, Beds, Linens, Curtains, Carpets, Blinds, Sofa's & all other home furnishings don't have to be expensive and time consuming. Live Furnish makes it easy to create stunning 3D product images that boost conversion rates and sales with our easy to use platform. No more wasted time scheduling, creating scenes, and getting just the right lighting when you can do it all from your desk.

-Save 70% on costs creating 3D photorealistic product shots

-Save 80% on shoots and production time

-Get massive lift on conversion rates from 55% - to over 500%

-Sell pre-orders from prototypes before manufacturing

Live Furnish empowers you to produce high-quality 3D images with a few hours instead of days and weeks with studios. Trusted by over 100 leading manufacturers and retailers.

We have raised a total of $7.5M in funding rounds. Our latest funding was raised on Dec 9, 2021 from a Seed & Series A Funding round. We are backed by Investors - Venture South, Launch, CEAS Investments, Mercato Partners, Parkwest LLC.

Headquarters

Winston-Salem, North Carolina 

Learn more, log onto our website

www.livefurnish.com

Designation: SDE II/Lead - Backend

Job Location: Delhi (Hybrid Mode)

Job Summary:

We are looking for a highly talented Python and Django Lead Developer to join our engineering team and help us develop and maintain various software products. The developer should be able to write and test code,debug programs and integrate applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team. Ultimately, you’ll build highly responsive web applications that align with our business needs.

What do we expect you to do?

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Planning the team structure, activities, and involvement in project management activities.
• Improve functionality of existing systems
• Implement security and data protection solutions
• Assess and prioritize feature requests
• Should be able to break tasks into small modules and manage a team accordingly
• Coordinate with teams to understand user requirements and provide technical solutions
• Configuration and managing databases such as MySQL, Postgresql, Mongo.
• Deploying applications on AWS, Digital Ocean or any other cloud platform.
• Server configuration and security management.
• Server and application Troubleshooting.
• Review team code.

What are we looking for?

• 6+ years of work experience as a Python Developer
• 4+ years of work experience in the Django framework
• 3+ years of experience in managing databases such as MySQL, Postgresql.
• Good experience in deployment on cloud platforms like AWS.
• Familiarity with front-end technologies (like JavaScript and HTML5, CSS)
• Good problem-solving skills
• Good knowledge about dockers and containers.
• Good knowledge about Nginx and Apache configuration.
• Should understand every aspect of Software development life cycle.
• Should be able to manage team tasks and review their code.
• BSc in Computer Science, Engineering or relevant field

What do we Offer?

• Build products from scratch and be part of decision making with the TOP authorities 
• Freedom to explore and implement your own ideas
• Hybrid Work Mode
• Open culture with flexible timings
• Weekend parties, Worcations with teams
• Loads Growth & Onsite Opportunities
• Work with a Team who is a Family

Customer Success Managers are responsible for creating policies and procedures that optimize the customer experience. Customer Success Managers may gather feedback from their customers, study other customer success programs, and analyze customer data to identify the best practices. The Customer Success Manager must establish policies the entire staff can adhere to so all customers receive the same quality of service.

Customer Success Managers must know the company’s products inside and out. They are often called upon to provide technical support to customers or to provide training on their products. They may even help customers plan and understand the best ways to utilize their software or products based on the customer’s business needs or business plans. The Customer Success Manager is not focused on making sales, rather on educating their customers on the flexibility and capabilities of their software so customers are encouraged to continue using their services.