Functional Solution Architect (D365 Project Operations & CE)

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

SERVICE ENGINEER- Pharma Packaging

BASE – ITI/ Diploma/ B E Electronics or Industrial Automation, Instrumentation, Mechatronics.

Skills & Experience – 3+ years in Field Service preferably from FMCG, Food/Bev or Pharma industry.

Travel Warrior. Always ready to travel on short notice; Pan India and or other countries as per

job requirements. Sometimes on Holidays or weekends.

Description:

The role of the Service Engineer is to provide professional after sales service and support for customers by performing field service installation, startup, repairs and maintenance of high-speed Packaging Machines. The Service Engineer will work within the

guidelines, established by the Director of Service & Manufacturing and will follow the established procedures when representing

Essential Functions:

Build customer relationship in a professional manner through solution-oriented communications and service, providing both on-site and telephone support.

 Responsible for installation expertise, calibrating, configuring, testing, maintaining,

evaluating and troubleshooting, pre-commissioning, commissioning and repair as necessary to associated equipment.

 Must be self-motivated with ability to work & think well independently.

 Perform scheduled and un-scheduled maintenance of equipment and associated equipment.

 Provide installation expertise at customer sites as well as conducting pre-installation assistance.

 Read and review blueprints, plans, specifications and other documentation to prepare for startup, service or troubleshooting any breakdowns.

 Responsible for on-site training of customer personnel and inbound technicians on proper operation and maintenance of their equipment’s as per ACE Technologies Standards.

 Work with engineering, project management, spare parts and management groups to resolve escalated problems.

 Provide written service & expense reports to Service Manager on all activities carried

out on site and complete all required documentation in a timely manner.

 Properly document, label, and return all defective parts resulting from repair.

 Make technical recommendations to Technician’s, Operators and Artisans.

 Work closely with the Service Team & Service coordinator to ensure site work is carried

out in the required order, for completion by the required timeline.

 Comply with all safety policies, practices and procedures at all times. Develop and

maintain safe habits and practices with regard to safety requirements on site and in the

manufacturing facility and report any breaches or concerns on health and safety matters

to the Service Manager or HR Dept.

 Ensure all materials, tools and equipment provided to you, are kept safe, and secure.

Ensure all are calibrated in good working order to ACE Technologies requirements.

 Assist in manufacturing or engineering with customer projects, as well as unit

refurbishment at the customer site or the ACE Technologies manufacturing facility.

 Assist the spare parts department with recommended spare parts and wear parts to existing and new customers.

 Provide technical support to other Field Service Engineer / Technician on the field or in- house

 Overtime may be necessary as work load dictates. This may include weekdays or weekends.

 Must be able to use a computer for creation of reports and data entry required.

 Must be able to use a smartphone and any related applications required for the job or

timekeeping.

 Must maintain clean and professional appearance while working with customers, vendors and colleagues.

 Accept other responsibilities as requested or required by the Service Manager or the Company as needed.

 Must participate in training opportunities as determined by the Company.

Required qualifications and skills:

 A Bachelor& degree / Diploma.

 3+ Years in Service Engineering experience of Packaging Equipment in Pharma Industry.

 Preference: Blister Packaging, Cartoning, Filling Line and Conveyors.

 Able to complete projects in a timely manner

 Excellent computer literacy is must and knowledge of visualization would be preferred.

 The ability to work with multiple discipline projects.

 Excellent organizational, time management, leadership, and decision-making skills.

 Strong written and verbal communication skills.

Senior AI/ML Engineer

📍 Pune, Maharashtra (Onsite)

💼 Experience: 6–10 Years

🕒 Employment Type: Full-Time

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.

This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.

Key Responsibilities

• Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
• Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
• Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
• Design deep learning solutions including LSTM and transformer-based architectures
• Build semantic search and vector retrieval systems using modern vector databases
• Develop advanced AI workflows using LangChain and LangGraph
• Design and implement multi-agent AI systems and orchestration frameworks
• Lead AI model deployment, monitoring, optimization, and lifecycle management
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
• Mentor junior engineers and contribute to technical leadership initiatives
• Drive AI architecture decisions, performance tuning, and best practices

Required Skills & Qualifications

Must-Have Technical Skills

• 6–10 years of software engineering and AI/ML development experience
• Strong experience building and deploying production AI/ML systems
• Hands-on expertise with RAG architectures and semantic retrieval systems
• Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
• Strong knowledge of Machine Learning and Deep Learning concepts
• Hands-on experience with:
• PyTorch and/or TensorFlow
• XGBoost
• LangChain
• LangGraph
• Experience deploying AI applications in production environments
• Strong debugging, performance optimization, and troubleshooting skills
• Excellent Python programming skills
• Understanding of REST APIs, microservices, and scalable system design

Preferred Skills

• MLflow
• Weights & Biases (W&B)
• Kubeflow
• Transformer architectures and LLM internals
• MLOps practices and model lifecycle management
• Multi-agent AI frameworks
• Cloud platforms such as AWS, Azure, or GCP
• Docker and Kubernetes
• CI/CD pipelines for AI applications

Ideal Candidate Profile

You are someone who:

• Has successfully deployed AI solutions into production environments
• Understands enterprise-scale AI architecture and design patterns
• Has practical experience with retrieval systems and vector search
• Can independently drive AI initiatives from concept to deployment
• Enjoys solving complex engineering challenges
• Demonstrates strong ownership, leadership, and mentoring capabilities
• Thrives in a fast-paced product and engineering environment

Who Should Not Apply

• Prompt-engineering-only profiles
• Candidates with only academic or research exposure
• Tutorial/demo-level GenAI practitioners
• Engineers without production deployment experience
• Professionals lacking hands-on implementation expertise

Educational Qualification

• B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
• Master's degree is a plus

Work Location

📍 Pune, Maharashtra (Onsite)

Hiring Preference

• Immediate joiners preferred
• Candidates currently working on production AI/ML systems will be given preference

Keywords

AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI

Job Description: Sales Executive

Join India’s No. 1 Drone Battery Brand – GenX UAV Battery – and be part of the booming drone technology industry!

We are looking for 4 dynamic Sales Executives with a passion for B2B sales, technology, and drones. Freshers are welcome, and prior sales/marketing experience will be highly appreciated.

Key Responsibilities

• Drive B2B sales of drone batteries and components to enterprises, institutions, and industry clients.
• Identify and connect with potential business partners, distributors, and corporate customers.
• Understand client needs and provide tailored solutions.
• Support senior sales managers in closing deals and achieving business targets.
• Build and maintain strong professional relationships with key accounts.
• Participate in marketing activities, product demos, and presentations.

Ideal Candidate

• Excellent communication, negotiation & presentation skills (English & Hindi).
• Strong marketing and client engagement abilities.
• Self-motivated, ambitious, and target-driven.
• Proficiency with MS Office, CRM tools, and online communication platforms.
• Passion for technology, drones, and B2B sales.

Qualification

• Any Graduate (Business/Marketing preferred).
• Freshers encouraged to apply, but experience in sales/marketing is a plus.

CTC

• ₹20,000 – ₹30,000 per month (depending on skills & experience).

Why Join Us?

• Work with India’s leading drone battery manufacturer and top component seller.
• Exposure to B2B sales, corporate negotiations, and industry networks.
• Excellent career growth opportunities in the booming drone tech sector.
• Attractive incentives linked to performance.

Job Type: Full-time

Benefits:

• Paid time off

Work Location: In person

 Strong written/verbal communication skills

·        Minimum 2-15 Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)

·        Good knowledge of the JVM with an understanding of performance and memory optimization.

·        Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·        Excellent knowledge on collections like, Array List, Vector, LinkedList, Hashmap, HashTable, HashSet is mandate.

·        Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·        Expert level understanding of Object-Oriented Concepts and Data Structures

·        Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

Please share your updated CV with the the below details:

Total Exp:

CTC:

Expectation:

Current Location:

Preferred Location:

Available for F2F Interview - Y/N :

Notice Period:

Regards,

Rashmi

Job Description:

• Looking for a SAP SD Architect with 10 years of experience.
• Experience in working with SD contract management processes (Master data, validity, pricing, Billing Plans, and Invoicing).
• Experience in RAR is required.

ROLE/SKILLS:

• Design, estimate, and code new features. This is primarily a coding position.
• Architect new applications, and expand existing ones.
• Collaborate on enterprise architecture with other teams at Internet Brands.
• Investigate and fix production issues.
• Define, document, and enforce engineering standards.
• Perform code reviews of your team members’ work.
• Mentor junior engineers.
• Participate in software design discussions.
• Participate in sprint planning and other project management meetings.
• Ensure all code that goes to production is of top quality.
• Ensure existing applications are scaled to meet expected demand.
• Identify and fix gaps in system reliability, such as production monitoring.
• Continuously improve the software infrastructure, such as the deployment process.

REQUIRED EXPERIENCE:

• 4+ years with object-oriented programming in PHP.
• 4+ years with front-end technologies such as JavaScript, HTML, and CSS.
• Complex SQL queries and database schema design.
• MVC frameworks (Laravel, Yii).
• Experience with modern server components (Memcache, Redis, ActiveMQ, Solr)
• Working in a collaborative team environment using tools like JIRA and Git.
• Consuming and creating web services.
• Stable work history and an ability to collaborate effectively.

• 5+ Years of experience in performance testing
• Must have proven experience in JMeter.
• Willing to join in a short notice period (20-25 days)
• Excellent proficiency in architecting and designing performance tests at an enterprise/application level on a variety of technical stacks based on the understanding of the architecture
• Excellent analytical skills and proficiency to dig down and pinpoint performance issues and recommend probable tuning solutions