Business Development Manager

Job Description – Sr. Manager - Sales & Marketing

Location: Hyderabad

Experience: 06–08 Years

Industry Preference: Pharma / Cleanroom Equipment / Process Equipment / HVAC Sales / Turnkey

Projects

Job Summary

We are seeking an experienced and result-driven Sr. Manager - Sales & Marketing to drive project-based

sales in the pharma and cleanroom industry. The role involves end-to-end sales responsibility—from lead

generation to project execution—along with strong client relationship management and commercial

negotiations.

Key Responsibilities

 Generate new business opportunities in pharma, cleanroom equipment, and process equipment

sectors

 Identify and develop a strong pipeline through networking, research, and industry connections

 Engage with clients to understand technical and commercial requirements

 Deliver customized presentations and propose suitable solutions in coordination with technical

teams

 Lead commercial negotiations including pricing, payment terms, and contract finalization

 Manage complete project lifecycle from order confirmation to execution and closure

 Coordinate with internal teams (engineering, logistics, finance) for timely project delivery

 Monitor project progress and resolve issues proactively

 Build and maintain long-term relationships with clients and consultants

 Provide post-sales support and ensure customer satisfaction

 Track market trends, competitor activities, and business opportunities

 Prepare and submit regular sales reports and forecasts

Qualifications & Skills

 Bachelor’s degree in Business Administration, Engineering, or related field

 06–08 years of experience in project sales (Pharma / HVAC Sales / Turnkey Projects/ Cleanroom /

Process Equipment preferred)

 Strong understanding of B2B project sales cycle

 Excellent communication, negotiation, and presentation skills

 Strong client relationship management ability

 Good project management and coordination skills

 Proficiency in CRM tools (e.g., Salesforce) and MS Office

 Willingness to travel extensively (field + office work)

Key Competencies

 Result-oriented and self-driven

 Strong problem-solving ability

 High attention to detail

 Ability to work independently and in team environments

 Adaptable and proactive mindset

Reporting To

Managing Director

POSITION OVERVIEW

We are seeking an experienced Senior Data Scientist & Generative AI Specialist on a contractual basis to support a premier Germany-based chemical manufacturing enterprise. In this role, you will lead the end-to-end design, development, and deployment of production-grade GenAI applications, multi-modal LLM workflows, and advanced retrieval platforms tailored to complex industrial and enterprise data ecosystems.

Working closely with cross-functional global teams, you will build robust backend microservices, implement state- of-the-art RAG/GraphRAG architectures, and leverage cloud-native AI infrastructure (Azure, Vector DBs, Knowledge Graphs) to drive operational efficiency and data-driven innovation.

KEY RESPONSIBILITIES

• GenAI & LLM System Engineering: Design, build, and deploy production-grade multi-modal GenAI applications processing text, structured technical documentation, images, and telemetry data.
• Advanced RAG & Graph Architecture: Implement cutting-edge Retrieval-Augmented Generation (RAG) and GraphRAG pipelines using document parsing frameworks, custom embeddings, vector databases, and knowledge graphs to capture complex domain relationships.
• Scalable Backend Development: Architect high-throughput, low-latency microservice APIs using Python, FastAPI, and Flask, leveraging asynchronous programming (asyncio) and strict type validation (Pydantic) for long-running LLM processes.
• Agentic Systems & Azure Ecosystem: Build autonomous agent systems using modern frameworks (MCP, A2A) and orchestrate enterprise workflows across the Microsoft Azure AI ecosystem (Azure AI Foundry, AI Search, Document Intelligence, Databricks).
• Model Optimization & Evaluation: Execute systematic LLM fine-tuning, prompt optimization, and rigorous evaluation frameworks to assess AI output accuracy, reliability, and business impact against industrial requirements.
• Data Layer Management: Architect and maintain enterprise database layers combining SQL (PostgreSQL) for structured transactional data with specialized vector search engines and graph stores.
• Rapid Prototyping: Utilize AI-assisted development tools (Copilot, Claude Code) to accelerate delivery timelines and rapidly build functional UI prototypes for client feedback.

TECHNICAL QUALIFICATIONS

Core Development & Backend:

• Python Mastery: Deep expertise in writing clean, production-ready Python using asynchronous programming (asyncio), strict type-hinting (Pydantic), and automated testing patterns.

• Backend Microservices: Hands-on experience building microservices with FastAPI and Flask structured to handle asynchronous, long-running AI background tasks.

• Database Engineering: Strong command of PostgreSQL, relational schema design, vector indexing, and knowledge graph paradigms.

Machine Learning & AI Infrastructure:

• Model Expertise: Hands-on experience with leading multi-modal LLM architectures (OpenAI, Anthropic, Google) and domain-specific AI workflows.

• Retrieval & Parsing: Proven track record with document extraction frameworks, embedding models, vector search engines, and GraphRAG architectures.

• Cloud Infrastructure: Strong proficiency with Azure AI infrastructure (Foundry, Databricks, AI Search, Document Intelligence).

• Agentic Frameworks: Practical experience with open-source agent protocols (MCP, A2A), parameter-efficient fine-tuning (PEFT/LoRA), and model evaluation methodology.

CONTRACT & REMOTE REQUIREMENTS

• Contract Engagement: Contractual structure tailored to project milestones and deliverables.

• 100% Remote Setup: Fully equipped home office with high-speed, secure internet infrastructure.

• Timezone Overlap: Guaranteed 4-hour daily overlap with Central European Time (CET/CEST - Germany) to ensure smooth collaboration with enterprise stakeholders.

• Communication: Fluent professional English communication skills (written and spoken) for asynchronous and real-time technical coordination. 

📢 Job Description: HR Associate Intern (Recruitment & HR Operations)

Location: Bangalore

🔹 Role Overview

We are seeking a dynamic and proactive HR Associate Intern who can manage end-to-end recruitment along with core HR operations. This role requires a hands-on individual capable of balancing talent acquisition with employee lifecycle management.

🔹 Key Responsibilities

1. Talent Acquisition

• Manage the complete recruitment lifecycle (sourcing to onboarding)
• Understand hiring requirements and draft job descriptions
• Source candidates through job portals, LinkedIn, referrals, and other channels
• Screen resumes and conduct initial HR interviews
• Coordinate interviews with hiring managers
• Handle offer rollouts, negotiation, and candidate engagement
• Ensure a seamless onboarding experience

2. HR Operations

• Manage onboarding processes and employee documentation
• Maintain employee records and HR databases
• Track attendance, leave, and assist with payroll coordination
• Draft HR policies, offer letters, and internal communications
• Ensure compliance with company policies and labor laws
• Address employee queries and manage grievances
• Support performance management processes

🔹 Required Skills

• Strong understanding of end-to-end recruitment
• Knowledge of HR operations and employee lifecycle
• Excellent communication and interpersonal skills
• Ability to multitask and manage multiple roles
• Familiarity with job portals and sourcing techniques
• Basic knowledge of labor laws and HR compliance

🔹 Good to Have

• Experience in a startup or fast-paced environment
• Exposure to HRMS tools
• Experience in employer branding or employee engagement initiatives

🔹 Qualification

MBA / PGDM in HR or a related field

🌟 Why Join Us

• Gain hands-on experience across recruitment and HR operations
• Work in a fast-paced, growth-oriented environment
• Opportunity to take ownership and build core HR skills

Who are we looking for?

• 2–4 years of hands-on experience in HR operations.
• Strong understanding of onboarding, offboarding, compliance, and labour laws.
• Good communication and stakeholder management skills.
• High intent, ownership & multitasking ability
• Available to work full-time in-office
• Available to join by 15 December’25

What will you be doing?

• Manage end-to-end onboarding and offboarding processes.
• Handle payroll & compliance
• Ensure adherence to labour laws and statutory requirements.
• Address and resolve employee queries with quick turnaround.
• Maintain and track asset management for all employees.
• Manage vendor coordination for HR-related services/tools.
• Support hiring activities and assist other HR functions when needed.
• Coordinate with internal teams for smooth operational workflows.
• Take ownership of ad-hoc HR tasks and projects.

Responsibilities:

• Translate designs and wireframes into high-quality code.
• Ensure the best possible performance, quality, and responsiveness of the application.
• Identify and correct bottlenecks and fix bugs.

Requirements:

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
• Familiarity with RESTful APIs to connect Android applications to back-end services. 
• Strong knowledge of Android UI design principles, patterns, and best practices
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Understanding of Google's Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration & Application Bundle Kotlin, Java
• Key requirements: Android SDK, Android UI, Core Java, Gradle, Kotlin.

Job Description:

We are looking for a skilled BigCommerce Developer. This role involves leading the development and customization of BigCommerce solutions, ensuring smooth execution and delivering high-quality projects. If you're passionate about eCommerce development and thrive in a dynamic environment, this is the perfect opportunity for you!

Key Responsibilities:

• Lead and contribute to the development and customization of BigCommerce and Shopify-based solutions.
• Collaborate with cross-functional teams to define, design, and deliver eCommerce solutions that meet client requirements.
• Develop, test, and maintain websites using web technologies including HTML, CSS, JavaScript, jQuery, ReactJS, and NextJS.
• Ensure that all eCommerce projects are delivered on time, within scope, and within budget.
• Troubleshoot and resolve issues related to website functionality, integrations, and performance optimization.
• Stay up-to-date with the latest BigCommerce platform updates and industry trends.
• Mentor and guide junior developers, providing technical direction and support.

Requirements:

• Proven experience as a Team Leader or Senior Developer in eCommerce development, specifically with BigCommerce and Shopify.
• Strong knowledge of eCommerce platforms (BigCommerce, Shopify) and related integrations.
• Proficiency in web development languages such as HTML, CSS, JavaScript, jQuery, ReactJS, and NextJS.
• Experience with project management tools and methodologies, with a successful track record of delivering projects.
• Strong problem-solving abilities and strategic thinking.
• Exceptional communication and interpersonal skills.
• Ability to adapt and work effectively in a fast-paced, dynamic environment.
• Must be a positive, energetic individual with a winning mentality, curiosity, and creativity.

Desirable Qualities:

• Excellent communication skills, both written and verbal.
• A collaborative mindset with a focus on fostering a positive team culture.
• Eagerness to contribute to the growth and success of the company by bringing innovative ideas and solutions.

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

• Design and implement effective database solutions and models to store and retrieve company data.
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations.
• Install and organize information systems to guarantee company functionality.
• Prepare accurate database design and architecture reports for management and executive teams.
• Oversee the migration of data from legacy systems to new solutions.
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
• Recommend solutions to improve new and existing database systems.
• Educate staff members through training and individual support.
• Offer support by responding to system problems in a timely manner.