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Job Posting: Marketing Executive – API (Active Pharmaceutical Ingredients)

Position: Marketing Executive – API

Experience: 1–2 Years

Location: Hyderabad

Work Mode: Hybrid

About the Role

We are looking for a dynamic and motivated Marketing Executive with 1–2 years of experience in the API (Active Pharmaceutical Ingredient) manufacturing industry. The candidate will be responsible for developing business opportunities, managing client relationships, and promoting API products to pharmaceutical companies.

Key Responsibilities

Promote and market API products to pharmaceutical manufacturers and formulation companies.

Visit pharma companies regularly to generate leads and build strong customer relationships.

Identify new business opportunities and support business development activities.

Coordinate with internal teams for product inquiries, quotations, and order execution.

Conduct market research and competitor analysis.

Maintain regular follow-ups with existing and prospective clients.

Prepare sales and marketing reports and update CRM records.

Represent the company at industry meetings, exhibitions, and conferences as required.

Requirements

1–2 years of experience in API marketing, business development, or sales within an API manufacturing company.

Strong understanding of the pharmaceutical and API industry.

Excellent communication, negotiation, and relationship-building skills.

Willingness to travel extensively to pharmaceutical companies and

client locations.

Ability to work independently and achieve business targets.

Bachelor's degree in Pharmacy, Chemistry, Life Sciences, or a related field preferred.

Experience dealing with pharmaceutical manufacturers and procurement teams.

Knowledge of domestic API market trends and customer requirements.

Interested Candidates

Position : Digital Marketing Executive

Experience : 0 – 2 Years (Freshers Welcome – College Students / 12th Pass can also apply)

Location : Major Mohit Sharma Rajendra Nagar, Ghaziabad

Work Mode : Work From Office

Working Days : Monday to Saturday

Employment Type : Full-time

Job Summary :

We are looking for an enthusiastic Digital Marketing Executive who can manage social media content, online campaigns, and help grow our brand’s digital presence.

This role is perfect for freshers, students, or beginners who are eager to learn and build a career in digital marketing.

Mandatory Skills : Basic knowledge of social media marketing, SEO, content creation, and strong communication skills.

Key Responsibilities :

• Create and post engaging content on social media platforms (Instagram, LinkedIn, Facebook, etc.)
• Monitor social media trends, respond to audience interactions, and improve engagement.
• Assist in running and optimizing digital marketing campaigns (SEO, SEM, Email Marketing, Google Ads, Meta Ads).
• Collaborate with design/content teams to ensure consistent branding and messaging.
• Analyze campaign performance and prepare simple reports to track growth.
• Support in website updates, promotions, and marketing initiatives.

Skills & Qualifications :

• Passion for digital marketing and social media management.
• Basic understanding of SEO, Google Ads, or Meta Ads (preferred but not mandatory).
• Good communication and creative thinking skills.
• Familiarity with tools like Canva, Google Analytics, or MS Excel is a plus.
• Open to freshers, college students, or 12th pass candidates who want to start their marketing career.

Why Join Us :

• Great learning opportunity with hands-on exposure to digital marketing tools.
• Creative and supportive work environment.
• Build a strong foundation for your marketing career.

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

🚀 Hiring: AI/M and Gen AI Engineer

⭐ Experience: 5+ Years

⭐ Work Mode:- Remote

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

🌟 About the Role

We are looking for a highly skilled AI/ML Software Engineer to design, build, and productionize enterprise-grade AI solutions. This role focuses on Generative AI, RAG systems, and AI agent–driven automation, with deployment on Microsoft Azure.

You will collaborate with cross-functional teams including architects, engineers, and business stakeholders to deliver scalable and secure AI solutions that create real business impact.

🔑 Mandatory Skills (Must Have)

• ✅ Azure AI Ecosystem (Azure Machine Learning, Azure OpenAI, Cognitive Services)
• ✅ Generative AI & RAG Systems (vector embeddings, retrieval pipelines)
• ✅ Strong Software Engineering + MLOps (CI/CD, containerization, scalable deployments)

💼 Key Responsibilities

• Design, develop, and deploy AI/ML models in production environments
• Build and optimize RAG-based applications and AI agent workflows
• Develop scalable data pipelines and integrate with enterprise systems
• Implement MLOps practices for continuous deployment and monitoring
• Work with big data tools to process large-scale datasets
• Ensure security, scalability, and performance of AI systems
• Collaborate with stakeholders to translate business problems into AI solutions

🧠 Required Experience & Skills

• 5–8 years of hands-on experience in AI/ML development
• Strong programming and software engineering expertise
• Experience with Azure services (ML, Data Lake, OpenAI, Cognitive Services)
• Knowledge of vector databases and embedding models
• Experience with Databricks, Azure Data Factory, or Kafka
• Familiarity with multi-agent systems / agentic AI frameworks
• Proficiency in TensorFlow, PyTorch, Keras, or Scikit-learn
• Background in NLP, Computer Vision, or Deep Learning
• Experience with SQL/NoSQL databases and ETL pipelines
• Strong analytical and problem-solving skills 

ASP .NET Frontend Developer                                                          

GormalOne is a social impact enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of digitally naive farmers.  We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that works on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

We are looking for a Frontend .NET Developer with relevant experience of 2+ years to produce scalable software solutions. You will be part of a cross-functional team that is responsible for the full software development life cycle, from conception to deployment.

As a Frontend Developer, you will ensure that our platform visitors can easily interact with the page. You should also be a team player with a knack for visual design and utility.

If you are also familiar with Agile methodologies, we’d like to meet you.

Roles & Responsibilities

• Work with development teams and product managers to ideate software solutions.
• Write code for effective integration with APIs.
• Test software to ensure responsiveness and efficiency.
• Troubleshoot, debug and upgrade software.
• Write technical documentation.
• Translating designs and wireframes into high-quality code.
• Accessibility and performance optimisations of websites across devices.
• Follow the Scrum process, participate in Scrum ceremonies and follow the incremental delivery model.

Basic Requirements

• Experience in .Net framework and Web APIs.
• Good knowledge of Design patterns.

• Excellent communication and teamwork skills.
• Great attention to detail.
• Organizational skills.
• An analytical mind.

Preferred Requirements

• Proven experience of minimum 2 years as a .Net Developer (Frontend) or similar role

• HTML, CSS, JavaScript, JQuery, AngularJS/Angular
• Razor, MVC/ASP.Net Core
• Web API integration
• Degree in Computer Science, Statistics, or relevant field.

Kindly note: Salary shall be commensurate with qualifications and experience

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Responsibilities

• Ensuring that orders are executed smoothly and timely.
• Communicate and coordinate with foreign customers for artworks and documents approvals.
• Coordinate with Logistics, Production and purchase team to full file the orders timely.
• Provide support to customers with timely reply’s and provide required information/ Documents.
• Resolving customer complaints quickly and efficiently. 
• Dealing with people of different backgrounds and temperaments.
• Solving customer issues and complaints.
• Offering exceptional customer service to customers.
• Maintaining good relationships with customers.
• Taking feedback from customers to ensure they are satisfied with the service.

Requirements

• Bachelor’s degree in Business Administrator, Marketing or a relevant field.
• 3 years of experience working as a Customer Relationship Executive or a similar role in the Customer Service department.
• Demonstrate the ability to work in teams and independently.
• Excellent organizational and interpersonal skills.
• Outstanding in English oral and written communication skills.
• Good customer service skills.
• Proficiency in Microsoft Office Tools.
• Ability to maintain sensitive and confidential information.
• Ability to maintain a positive attitude.
• Exceptional people and problem-solving skills.
• Exceptional time and task management skills.

What Are You Going To Do? 

As a Salesforce Commerce Cloud Architect you will design and develop solutions for global brands. You will work with Delivery Managers, Developers, Quality Assurance engineers and client teams to deliver the best in ecommerce. 

Main Responsibilities: 

• Design, build and configure SFCC e-commerce websites 
• Integrate third party solutions using a range of e-commerce technologies 
• Facilitate requirements gathering sessions with client teams 
• Work with an Agile team to ensure solutions are delivered timely and on budget 
• Lead technically teams of SFCC developers 

What Do We Expect? 

• Expert knowledge of Salesforce Commerce Cloud 
• Expert knowledge in JavaScript, HTML, CSS 
• Experience with complete e-commerce lifecycle development 
• Strong understanding of design patterns 
• Proven problem-solving skills 
• Team player 

Why Join Us? 

• Competitive remunerations & benefits package 
• Exposure to International Brands & latest technologies  
• Friendly, yet competitive work environment  
• Flexible working hours and working location 
• Technical training & certifications 
• Business/Consulting training & certification  
• Sport & team building events