Business Development Representative

Role & Responsibilities

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

Key Responsibilities-

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

Ideal Candidate

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in **Python or Bash**
• Understanding of monitoring, incident management, and cloud security basics

Nice to Have-

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

 Key Responsibilities

AI Model Development 

 - Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.

 - Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.

Backend Development with FastAPI

 - Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.

 - Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.

Pipeline and Integration

 - Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.

 - Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.

Collaboration with Cross-Functional Teams

 - Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.

 - Work with front-end developers to integrate AI-powered functionalities into web applications.

Model Optimization and Fine-Tuning

 - Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.

 - Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.

Documentation and Code Quality

 - Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.

 - Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.

Research and Innovation

 - Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.

 - Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.

Required Skills and Experience

Expertise in Generative AI 

Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).

LangChain & LlamaIndex 

Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.

Python Programming 

Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.

API Development with FastAPI 

Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.

NLP & Machine Learning 

Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.

Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.

Version Control & CI/CD 

Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.

Preferred Skills

Containerization & Cloud Deployment 

Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.

Data Engineering 

Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.

Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.

Role Overview 

We are hiring closure-focused BDEs who can take ownership of the full sales cycle—from 

first conversation to final deal. 

This role is not about volume outreach. It’s about understanding intent, positioning value, 

handling objections, and closing with clarity.​

Key Responsibilities 

•Own the end-to-end sales cycle: prospecting → qualification → closure  

•Drive demand through targeted, intelligent outreach  

•Lead discovery conversations and identify real buying signals  

•Position solutions based on business needs (not generic pitching)  

•Handle objections, pricing discussions, and negotiation  

•Maintain consistent follow-ups to move deals forward  

•Use conversation intelligence to improve win rates  

•Build and manage a strong, conversion-focused pipeline ​

What We’re Looking For 

•1–4 years of experience in B2B sales / closing roles  

•Proven ability to convert conversations into deals  

•Strong objection-handling and negotiation skills  

•Ability to read between the lines in business conversations  

•Platform-savvy (LinkedIn, Telegram, communities, outbound channels)  

•Comfortable leveraging AI tools for research and personalization  

•Diplomatic, composed, and persuasive communication style  

•High ownership mindset—focused on revenue, not activity  

Core Traits That Matter 

•Closing mindset over lead generation mindset  

•Clarity over pitch  

•Timing over pressure  

•Consistency over bursts  

What Success Looks Like 

•Strong lead-to-close conversion ratio  

•Ability to independently drive deals  

•Predictable contribution to revenue 

🧑‍💼 Sr. Purchase Engineer (Pharma)

📍 Ghatkopar | 🕤 9:30 AM–6:30 PM

📅 6 Days Working | Alternate Saturdays Off

🏢 Department: Purchase

💼 Exp: 3–5 yrs (Pharma Industry)

🎓 Diploma/Bachelor’s in Mechanical/Electrical

✨ Skills

🔧 Pharma/automation/equipment industry experience

🌐 Import/Export docs & procurement knowledge

🧠 Strategic, proactive & result-oriented

💬 Strong communication skills

💻 Excel, Word, PPT

📂 Detail-oriented & organized

🔹 Key Responsibilities

📦 Manage purchase requisitions & raw materials

🗂️ ERP-based PO handling & inventory tracking

🔍 Market research & vendor analysis

🤝 Supplier relationship management

📉 Cost analysis & savings initiatives

⚖️ Ensure compliance & ethical procurement

🔄 Optimize procurement processes

📑 Maintain records, price lists & agreements

📊 Analyse procurement metrics & budgets

🛡️ Risk management in supply chain

📈 Improve vendor performance & quality

📝 Support budget planning & cost control

🌟 Stay updated with industry trends

📧 Interested? Share your resume

We are looking to hire an SEO Content Specialist who understands search engine optimization and can write both long- and short-form content that's informative, compelling, and relevant to our portfolio companies, and drives maximum traffic to our websites, thereby improving their rankings in search engines.

You must be below 28, graduate from a Tier-1 Engineering College with 2+ years of SEO/SEM content writing experience.

You will ensure that company websites host high-quality, subject-rich, SEO-rich content, and drive complete end-to-end organic content marketing strategy to increase rankings, online visibility, and organic traffic.

Detailed Job Description

• Day-to-day execution of organic SEO campaigns including keyword research, content gap recommendations, strategic optimization of existing content, competitor analysis, and site improvements.
• Regular off-page link-building activities like backlink building from authoritative websites, article submissions, social bookmarking, classified ads, etc.
• Write compelling and high-quality website content - including long blog posts and short page descriptions.
• Work closely with content writers to post optimized blogs and articles online.
• Track progress through analytics tools such as Google Analytics, Google Webmaster Tools, etc.
• Optimize existing content by performing keyword research, editing content for readability and flow, submitting site maps to Google Webmaster Tools, etc.

You are a perfect fit if you have:

• Strong understanding of all SEO standard methodologies, such as user content optimization, meta-data optimization, SEO-friendly site architecture, technical SEO, off-page SEO, and SEO tools like Ahrefs, SEMrush, etc.
• A sense of humour to make content interesting and engaging. It would be an added advantage, though not mandatory.
• Consistent track record in leading SEO content projects (from inception to completion) that drives business growth.
• Exceptional communication skills, both written & verbal.
• Self-motivated and independent, well-organized, able to do hands-on work and analysis with minimum supervision..

We hire candidates for their strengths and superpowers, with a belief that the best team draws its mojo from these unique, yet complementary, individuals. 

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

Responsibilities

• Strong knowledge of MERN stack (MongoDB, Express JS, React JS, Node JS, HTML5, CSS3, jQuery, Bootstrap, SASS)
• Develop user interfaces for modern rich internet applications with the latest front-end technologies
• Developing features to enhance the user experience.
• Should have excellent in-depth knowledge on Nodejs and MongoDB
• Hands-on experience working with Object-Oriented JavaScript (OOJS), JavaScript libraries and their practical uses in building complex interactive experiences
• Building reusable code for future use
• Writing tested code and its documention

• 1+ years of experience in front end development and backend development is must
• Thorough knowledge of HTML5, CSS3 (LESS/SASS),React, Nodejs and Mongodb
• Solid understanding of JavaScript and the ability to pick up any framework quickly
• Strong Experience in back-end frameworks used to develop dynamic web pages (REST, GraphQL, WebSocket/socket.io)
• Expertise in developing and testing across multiple browsers, platforms, DOM implementations, etc.
• Strong experience in React, React Hooks, Redux, Thunk | Saga, ES6, Typescript, ESLint, Nodejs, GraphQL, Redis, AWS, Git, Github, Docker

Bonus but not mandatory

• UI/UX designs
• AWS
• Git
• CI/CD