You will lead Technical Project Management e2e in a highly regulated Pharma R&D Environment, building healthcare/Pharma Research/Maintenance applications Project Planning, Leading and Managing Demand, Budget, Cost, Resources, Compliance, Execution, Sustain and Handover. In this role you will handle complete lifecycle of project, initiating, planning, executing, monitoring, and closing including post implementation; using Agile Framework & Scrum Methodologies or using SDLC, Waterfall & other PM approaches. You will need complete understanding of the frameworks and approaches of Technical Project Management. Your role will be wearing multiple hats, acting as individual Scrum Master and/or Project Manager to Development Team, BA, Tech lead and interact with Technical Systems Owner, Business Systems Owner, Product Owner, Solution Architect, Functional System Architect, Project Compliance Manager, and other stakeholders. You will set project milestones, coming up with plans to meet the milestones, manage and ensure timeline adherence of project delivery while ensuring cost, quality, and compliance, with robust communication management. You will manage multiple stakeholders at different levels, prioritize conflicting demands and opposing objectives while bringing consensus and lead the project to a success. You will need strong capability of influencing without authority, relationship management and clarity in communication. You will maintain a continuous and sturdy communication pipeline with strong, crisp, clear, assertive yet gentle approach. Communication in all forms, written and verbal, is expected to be clear, complete and exhaustive. You will build and maintain a robust feedback loop and update mechanism between all stakeholders and team members associated. The role will require you to have long term view to the project, predict risks, prescribe mitigation and resolution proactively. You will introduce new innovative solutions to problems/risks and lead to follow-up until closure. You will take accountability of problems and find solutions, even if there is a team involved. You will mentor and guide towards solutions. You will own the cost of project, from planning to reconciliation, at a Capex and Opex level. Once budget is finalized, you will plan at a resource level for internal and external resources, licenses and platforms, reconcile with Finance reports each month to ensure the plan vs. actual and take necessary action for unreconciled items. You will understand the relationship between SOW, PO and Invoices at cost level and ensure seamless cost management. Must have skills: Strong understanding and extensive experience of Digital Transformation Project Management on PMBOK guidelines. Extensive experience in Risk Management, Project Metrics based reporting, Review Mechanism, Project Status Maintenance and Reporting. Bias towards action and proactive in communication, keeping transparency alive throughout project. Learning aptitude and inclination to learn new PM and Agile tools as and when needed by the project throughout the course. Experience in handling large scale projects in Pharma Industry, preferably $1M. Strong knowledge and proven expertise of MS Excel, MS Project, MS PowerPoint. Ability to lead with Servant Leadership. Strong Project Cost Management experience Demand Generation, Budget Planning, Resource Cost Planning at various levels including understanding of Project Costing – OPEX planning, CAPEX planning, internal/external/license/platform etc. Mandatory Requirements: BTech/MTech/BSc/MSc/MCA with Technical Academics. Pharma/Healthcare background Experience in Core Pharma Compliance, GxP (GCP, GLP, GDP, GMP etc.), QMS, Validation, Testing. Updated knowledge and inclination towards current technological demography in AI, Gen AI, ML, LLM, Copilot etc. Robust Agile knowledge and applied experience. Experience in Project Cost/Finance Management at grassroot level. Min 10 to years of total experience, 8+ in leading projects end to end with complete overview of project exposure. Preferred Requirement: B. Pharm / M. Pharm PMP/any other Certification and/or Agile Certification Any IT certification Experience in Jira and/or other PM tools
Relevant Experience : 3+ years Notice Period : Less than 15 Days Employment type : Permanent, Full-Time Job Role : Frontend Developer React JS Location : Hyderabad UI Developer with expertise in ReactJS to design and develop high-quality user interfaces for web applications. The ideal candidate will be responsible for building reusable components, optimizing performance, and ensuring seamless integration with back-end systems. This role requires strong problem-solving abilities, attention to detail, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities: Design and develop user interfaces using ReactJS. Build reusable components and front-end libraries Translate designs and wireframes into high-quality code Optimize components for maximum performance across different devices and platforms. Work with the engineering team to integrate UIs with back-end systems Test and debug UI's on various devices and platforms, addressing any compatibility issues. Document UI code and maintain clear documentation for future reference and team collaboration. Qualifications: Experience in UI development with ReactJS. Strong understanding of ReactJS and concepts, principles, and best practices. Experience with other front-end technologies, such as HTML, CSS, and JavaScript Experience with version control systems, such as Git. Excellent problem-solving and debugging skills Ability to work independently and as part of a team, collaborating effectively with other developers and stakeholders.
Overview: We are seeking an experienced PHP Developer with a strong background in Laravel. The ideal candidate will be responsible for building high-quality, scalable web applications and contributing to all phases of the development lifecycle. You will collaborate closely with front-end developers, product managers, and other stakeholders to deliver robust technical solutions. Key Responsibilities: Design, develop, and maintain robust and scalable web applications using PHP and Laravel. Write clean, well-documented, and efficient code following best practices. Collaborate with front-end developers to integrate Vue.js and React.js components. Develop and consume RESTful APIs and third-party services. Perform code reviews, troubleshoot issues, and optimize application performance. Participate in the full software development life cycle: requirement gathering, design, development, testing, and deployment. Ensure security, data protection, and compliance across all developed solutions. Qualifications: Strong hands-on experience in PHP development and Laravel framework. Strong understanding of MVC architecture and OOP concepts. Hands-on experience with Vue.js and React.js. Knowledge of front-end technologies (HTML, CSS, JavaScript, Vue.js or React is a plus). Proficient in database design and performance optimization. Familiarity with Agile/Scrum development methodologies. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.
Key Responsibilities: Design, build, and deploy scalable NLP/ML models for real-world applications. Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: 3+ years of experience in Python programming with strong understanding of ML pipelines. Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). Strong problem-solving and communication skills. Ability learn new tools, to work independently and collaboratively in a fast-paced environment Attention to detail and accuracy Preferred Skills. Theoretical knowledge of or experience in Data Engineering, Data Science, AI, ML, RPA or other related domains. Certification in Business Analysis or Project Management from a recognized institution. Experience in working with agile methodologies such as Scrum or Kanban. Company Profile : Space Inventive is an innovative and dynamic company that specializes in leading businesses through transformative journeys in the digital era. They are pioneers in driving innovation and helping organizations transition into digitally mature entities. With a wide range of cutting-edge services, including web enterprise application development, AI & ML development, cloud engineering, data engineering, and business intelligence, Space craft's tailor-made solutions to meet each client's unique challenges. Their integrated approach combines strategic vision with digital expertise, empowering businesses to create new models, modernize legacy systems, and launch market-ready digital products and platforms. Having served esteemed clients like Novartis, BMS, StarRez, among others, Space has a proven track record of success.
Job Role : Machine Learning GenAI Engineer (NLP/Python) Experience :3+ Years Work Mode :Hybrid Location : Hyderabad Overview: We are seeking a skilled ML & GenAI Engineer with hands-on experience in Natural Language Processing (NLP), Machine Learning, Python and Agentic AI to lead and contribute to cutting-edge AI projects. You will work on building, fine-tuning, and deploying intelligent systems, including LLM-based solutions, AI agents, chatbots, recommendation engines, and other AI-driven applications. Key Responsibilities: Design, build, and deploy scalable NLP/ML/Gen AI Agentic models for real-world applications. Develop and implement Agentic AI solutions capable of multi-step reasoning and autonomous task execution. Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). Build GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or Retrieval-Augmented Generation (RAG). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI-driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: 3+ years of experience in Python programming with strong understanding of ML pipelines. Proven experience in developing Agentic AI solutions or AI-driven autonomous agents. Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). Strong problem-solving and communication skills. Ability learn new tools, to work independently and collaboratively in a fast-paced environment Attention to detail and accuracy Preferred Skills. Theoretical knowledge of or experience in Data Engineering, Data Science, AI, ML, RPA or other related domains. Certification in Business Analysis or Project Management from a recognized institution. Experience in working with agile methodologies such as Scrum or Kanban
You are a Senior Machine Learning Engineer with 2-5 years of experience, located in Hyderabad. As a Senior Machine Learning Engineer, your primary responsibilities will include leading the training, fine-tuning, and validation of Language Models (LLMs) customized for web applications. You will be tasked with deploying and optimizing these models to web-based inference endpoints to ensure fast responses and high uptime. Monitoring the real-time performance of models on the web and making necessary adjustments to maintain desired accuracy will be a crucial part of your role. Staying updated on advancements in LLMs, specifically focusing on techniques like prompt engineering, PEFT, LORA, and SFT tailored for web contexts is essential. You will utilize the LangChain framework to develop applications powered by language models, ensuring seamless integration with data sources and enabling the model to interact effectively with its environment. Managing LangChain's modular abstractions and implementing use-case specific chains for optimal language model application will also be part of your responsibilities. Upholding strict data privacy and security standards during web-based model deployments is paramount. Collaboration with the Full Stack Development team to ensure smooth integration of models into web platforms will also be a key aspect of your role. To qualify for this position, you should have solid experience as a Machine Learning Engineer, with expertise in Gen AI & LLMs suitable for web environments. Proficiency in machine learning frameworks like TensorFlow and PyTorch is required. A proven track record of training, fine-tuning, and deploying LLMs optimized for web platforms is essential. Deep comprehension of advanced techniques like prompt engineering, PEFT, LORA, and SFT in web contexts is necessary. Hands-on expertise with the LangChain framework, including its modular abstractions and use-case specific chains for language model application, is expected. Familiarity with tools and practices for monitoring model performance and metrics on the web is a plus. An innovative problem-solving mindset, combined with a flair for optimization, will be beneficial. Outstanding communication skills and a teamwork-oriented attitude are highly valued in this role.,
Key Responsibilities: · Design, build, and deploy scalable NLP/ML models for real-world applications. · Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. · Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). · Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). · Write clean, efficient, and testable Python code. · Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. · Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: · 3+ years of experience in Data Science(GEN AI/Machine learning) · Good understanding & Hand on experience in Agentic Ai. · Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. · Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. · Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). · Ability learns new tools, to work independently and collaboratively in a fast-paced environment & Strong problem-solving and communication skills. · Experience in working with Python Programing and agile methodologies such as Scrum or Kanban Please find the below points for your reference. · Experience on Deep Learning and Transformer architectures and models · Prompt Engineering, training LLMs and GenAI pipeline preparation. practical experience in integrating LLM models like ChatGPT, Gemini, Claude etc with context aware capabilities using RAG or fine-tuning models. · Model Evaluation & Alignment. Metrics to calculate the model’s accuracy. · Data Curation from sources for RAG Preprocessing and development LLM Pipelines. · Scalable Deployment and logging tooling. Must have skills like Flask, Django, Fast API, APIs, Docker containerisation, Kubeflow. Familiarity with Lang Chain, LlamaIndex, vLLM, Hugging Face Transformers, LoRA and also basic understanding of cost to performance tradeoffs
Key Responsibilities: · Design, build, and deploy scalable NLP/ML models for real-world applications. · Fine-tune and optimize Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. · Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.). · Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). · Write clean, efficient, and testable Python code. · Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. · Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications: · 3+ years of experience in Data Science(GEN AI/Machine learning) · Good understanding & Hand on experience in Agentic Ai. · Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. · Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. · Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). · Ability learns new tools, to work independently and collaboratively in a fast-paced environment & Strong problem-solving and communication skills. · Experience in working with Python Programing and agile methodologies such as Scrum or Kanban Please find the below points for your reference. · Experience on Deep Learning and Transformer architectures and models · Prompt Engineering, training LLMs and GenAI pipeline preparation. practical experience in integrating LLM models like ChatGPT, Gemini, Claude etc with context aware capabilities using RAG or fine-tuning models. · Model Evaluation & Alignment. Metrics to calculate the model’s accuracy. · Data Curation from sources for RAG Preprocessing and development LLM Pipelines. · Scalable Deployment and logging tooling. Must have skills like Flask, Django, Fast API, APIs, Docker containerisation, Kubeflow. Familiarity with Lang Chain, LlamaIndex, vLLM, Hugging Face Transformers, LoRA and also basic understanding of cost to performance tradeoffs
Key Responsibilities: Design, develop, and maintain the Web applications using Python and React.JS. Integrate the front-end with backend services using Python and Fast API Gathering functional requirements, developing technical specifications and project & test planning Designing/developing software prototypes, or proof of concepts Act in a technical leadership capacity: applying technical expertise to challenging programming and design problems. Coordinate closely with ML Engineers to integrate machine learning models and ensureseamless functionality Perform DevOps role in managing build to operate lifecycle of the solutions that we develop. Contribute to the design and architecture of the project. Qualifications: Design, develop and maintain the server-side of web applications. Experience in Python development, with a strong understanding of Python web frameworks such as Django or Flask. Solid understanding of machine learning algorithms, techniques, and libraries, such as TensorFlow, PyTorch, scikit-learn, or Keras. Have working knowledge of AWS services like S3, Lambda. Experience with cloud platforms and services, such as AWS, Azure, or Google Cloud Platform, including cloud-native development, deployment, and monitoring. Experience with relational and NoSQL databases, such as MySQL, PostgreSQL, MongoDB, or Cassandra. Familiarity with DevOps practices and tools, such as Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines