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
Job Purpose: This person will play a crucial role in managing and overseeing key aspects of the human resources function within the organization. This includes Performance Management, Compensation & Benefits Management, Learning & Development and organizational design, structure, culture and employee engagement and relations. The ideal candidate should have a broad understanding of HR practices and adept at handling multiple HR tasks in a fast-paced environment. This person will be directly reporting to the CHRO. Key Responsibilities: 1. Performance Management: Manage performance appraisal processes that includes annual goal setting, periodic performance assessments, annual performance calibration with the leadership team etc. Provide guidance and support to managers and employees on performance issues and development plans. Implement employee recognition programs to enhance employee engagement and retention. 2. Compensation and Benefits management: Assist in the administration of compensation and benefits programs. Provide guidance to Leadership on annual salary revision, manage the annual performance bonus pay-out and annual salary revisions. Address employee inquiries related to compensation and benefits. Job level / grade / designation restructuring experience 3. Learning and Development: Work with the stakeholders across the organisation to Identify gaps in technical competencies and soft skills across different job roles within the organization. Implement various delivery methods including workshops, seminars, e-learning modules, and on-the-job training to cater to diverse learning styles. Coordinate with subject matter experts and external trainers to ensure high-quality delivery of technical and soft skills training sessions. Establish metrics to measure the effectiveness of training programs in enhancing employee performance and productivity. Conduct regular evaluations and gather feedback from participants, to continuously improve training initiatives. Promote awareness of training opportunities and encourage employee participation in professional development activities. 4. Organizational Culture and Employee Engagement Culture Development: Foster a positive organizational culture that promotes engagement, inclusivity, and productivity. Employee Engagement: Develop and implement strategies to measure and improve employee engagement and satisfaction. Communication: Ensure effective communication channels within the organization to keep employees informed and involved. Team Development: Facilitate team-building activities to improve collaboration and performance. 5. Organizational Design and Structure Structure Analysis: Assess and design organizational structures that support business goals and improve efficiency. Role Definition: Clearly define roles and responsibilities to ensure clarity and accountability within the organization. 6. Employee Relations Policy Development: Develop and enforce HR policies and procedures that support organizational development goals. Compliance: Ensure that the organization complies with labour laws and regulations. Qualifications & Work experience: Bachelors degree in business administration or related field with a PG degree in HR from a reputed institute. Minimum of 8 to 10 years of HR generalist experience, preferably in the IT/ITES industry. Strong knowledge of Labour laws. Excellent computer skills especially in MS Office – PowerPoint Excel and Word. Exposure to HRMS tool Understanding of LMS and other training tools will be an advantage. Personal Attributes: High level of professionalism and integrity. Strong problem-solving skills and attention to detail. Ability to work independently and as part of a team. Adaptability and ability to thrive in a fast-paced environment. Excellent interpersonal, communication and presentation skills. Strong organizational and multitasking abilities. Ability to handle confidential information with discretion. Ability to work collaboratively across departments and levels of the organization.
Job purpose : This position is responsible for ensuring the company's financial stability, guiding strategic financial planning, and aligning financial activities with business goals. Location: Hyderabad, Telangana State, India Reports To: MD / CEO Currently the organization follows hybrid work model. Key Responsibilities: 1. Financial Planning & Strategy: Develop and implement the company's financial strategy, aligning with overall business objectives. Prepare and present financial forecasts, budgets, and strategic plans to MD/CEO. Analyse financial performance and advise on strategies to optimize profitability and growth. Monitor economic trends and industry developments in the IT/ITES and Pharma sectors to anticipate financial opportunities and risks. 2. Financial Operations & Control: Oversee the day-to-day financial operations, including accounting, billing, payroll, accounts receivable/payable, and banking relationships in both India and the US. Ensure accuracy, timeliness, and compliance with GAAP/IFRS and applicable local regulatory requirements. Implement and maintain robust internal controls to safeguard company assets and ensure proper financial reporting. Supervise the preparation and timely filing of financial statements and tax returns, ensuring adherence to statutory deadlines. 3. Budgeting & Forecasting: Lead the annual budgeting process, ensuring alignment with the companys strategic goals. Analyse variances between actual performance and budget, and provide recommendations for corrective actions. Develop cash flow forecasts and manage working capital to ensure operational liquidity. 4. Risk Management & Compliance: Identify and assess financial risks, including currency exchange risk between India and US operations, and implement strategies to mitigate them. Ensure compliance with all financial regulations and guidelines in both countries, including tax laws, transfer pricing, and reporting requirements. Oversee audits (internal and external) and manage relationships with auditors and regulatory authorities. 5. Strategic Decision Support: Serve as a key advisor to the CEO on financial matters and business strategy. Provide financial insights for critical business decisions, including investments, mergers & acquisitions, and new service line launches. Evaluate the financial viability of client contracts, pricing strategies, and new market entry to optimize profitability. 6. Team Leadership & Development: Lead and mentor a team of finance professionals, fostering a culture of continuous learning and excellence. Implement best practices for financial processes and systems to drive efficiency and accuracy. Conduct performance evaluations and identify training needs to support professional growth within the finance team. Qualifications & Skills: Education : CA Experience : 10-15 years of experience in a similar role, preferably in an IT/ITES company engaged or client services / product development Industry Knowledge : Good understanding of the IT/ITES and Pharma sector, client service models, cost structures, and market trends. International Exposure : Working experience in managing financial operations across multiple geographies, particularly in US and UK. Technical Skills : Proficiency in financial software and advanced Excel skills. Analytical & Strategic Thinking : Ability to analyse complex financial data and present actionable insights to stakeholders. Leadership & Communication : Strong leadership skills with the ability to effectively communicate with executive management, clients, and cross-functional teams. Key Competencies: Attention to Detail : Accuracy and precision in managing financial records and reports. Problem-Solving : Ability to identify financial issues and implement effective solutions. Adaptability : Flexibility to operate in a dynamic business environment with diverse market conditions. Ethics & Integrity : Upholding high ethical standards and integrity in financial management. Compensation: Competitive salary based on experience, with performance-linked incentives. Benefits include health insurance, retirement plans, and relocation assistance (if applicable).
About Company: Space Inventive is a global IT services and solutions company expertise in Generative AI, data engineering, digital product development, UX/UI design, and automation. Since 2007, we’ve been driving digital transformation with innovative products and a culture built on agility, transparency, and innovation. Location : Hyderabad - Financial District Work Mode: Work from Office Key Responsibilities: Own the entire talent acquisition strategy from workforce planning to successful onboarding – ensuring alignment with business priorities. Partner with business and technical leaders to define hiring roadmaps and advise on market intelligence, talent availability, and competitive positioning. Lead niche technology hiring across Artificial Intelligence, Machine Learning, Data Science, Cloud, Big Data, DevOps, and other high-demand domains. Innovate sourcing approaches by leveraging advanced search techniques, professional networks, research-driven headhunting, and community engagement to attract top-tier passive and active candidates. Enhance employer brand visibility in the technology talent market by engaging candidates with a compelling value proposition. Deliver an exceptional candidate experience, ensuring transparency, timely communication, and professional engagement throughout the hiring journey. Measure, analyze, and optimize recruitment performance through data-driven insights on time-to-hire, quality-of-hire, and sourcing effectiveness Qualifications: 5+ years of proven success in IT recruitment with deep expertise in managing the end-to-end hiring cycle. Strong track record of hiring for niche and emerging technologies (AI/ML, Data Science, Cloud, Big Data, etc.). Expertise in sourcing hard-to-find talent through multiple channels (LinkedIn, Naukri, Stack Overflow, tech forums, referrals, networking events). Consultative stakeholder management skills, with the ability to influence and align hiring managers on talent strategies. Familiarity with Applicant Tracking Systems (ATS), recruitment analytics, and modern HR technology tools. Exceptional interpersonal, negotiation, and communication skills with the ability to engage top talent effectively.
Job Description – Finance Controller About Company: Space Inventive is an innovative technology company that is building the future with AI-driven products and data analytics solutions . We drive innovation across industries such as Pharma, Healthcare, Finance and HR . By combining cutting-edge technology with deep domain expertise, we deliver solutions that are not only intelligent and scalable but also fully aligned with the highest standards of compliance and risk management . Job Summary: Space Inventive is seeking a Finance Controller to play a a crucial leadership role in shaping our financial strategy to catalyse our ambition. Reporting directly to the CEO/MD, this role is responsible for overseeing all financial operations across India and the US, including planning, budgeting, compliance, reporting, and internal controls. The Finance Controller will provide strategic financial insights, ensure regulatory adherence, and implement robust financial processes that align with the company’s goals towards long-term financial sustainability and operational excellence. Location: Hyderabad, India Reports to: MD / CEO Work mode: Hybrid work mode Key Responsibilities: 1. Financial Planning & Strategy: Develop and implement the company’s financial strategy, aligning with overall business objectives. Prepare and present financial forecasts, budgets, and strategic plans to MD/CEO. Analyse financial performance and advise on strategies to optimize profitability and growth. Monitor economic trends and industry developments in the IT/ITES and Pharma sectors to anticipate financial opportunities and risks. 2. Financial Operations & Control: Oversee the day-to-day financial operations, including accounting, billing, payroll, accounts receivable/payable, and banking relationships in both India and the US. Ensure accuracy, timeliness, and compliance with GAAP/IFRS and applicable local regulatory requirements. Implement and maintain robust internal controls to safeguard company assets and ensure proper financial reporting. Supervise the preparation and timely filing of financial statements and tax returns, ensuring adherence to statutory deadlines. 3. Budgeting & Forecasting: Lead the annual budgeting process, ensuring alignment with the company’s strategic goals. Analyse variances between actual performance and budget, and provide recommendations for corrective actions. Develop cash flow forecasts and manage working capital to ensure operational liquidity. 4. Risk Management & Compliance: Identify and assess financial risks, including currency exchange risk between India and US operations, and implement strategies to mitigate them. Ensure compliance with all financial regulations and guidelines in both countries, including tax laws, transfer pricing, and reporting requirements. Oversee audits (internal and external) and manage relationships with auditors and regulatory authorities. 5. Strategic Decision Support: Serve as a key advisor to the CEO on financial matters and business strategy. Provide financial insights for critical business decisions, including investments, mergers & acquisitions, and new service line launches. Evaluate the financial viability of client contracts, pricing strategies, and new market entry to optimize profitability. 6. Team Leadership & Development: Lead and mentor a team of finance professionals, fostering a culture of continuous learning and excellence. Implement best practices for financial processes and systems to drive efficiency and accuracy. Conduct performance evaluations and identify training needs to support professional growth within the finance team. Qualifications & Skills: Education : CA Experience : 10-15 years of experience in a similar role, preferably in an IT/ITES company engaged or client services / product development Industry Knowledge : Good understanding of the IT/ITES and Pharma sector, client service models, cost structures, and market trends. International Exposure : Working experience in managing financial operations across multiple geographies, particularly in US and UK. Technical Skills : Proficiency in financial software and advanced Excel skills. Analytical & Strategic Thinking : Ability to analyse complex financial data and present actionable insights to stakeholders. Leadership & Communication : Strong leadership skills with the ability to effectively communicate with executive management, clients, and cross-functional teams. Key Competencies: Attention to Detail : Accuracy and precision in managing financial records and reports. Problem-Solving : Ability to identify financial issues and implement effective solutions. Adaptability : Flexibility to operate in a dynamic business environment with diverse market conditions. Ethics & Integrity : Upholding high ethical standards and integrity in financial management. Compensation: Competitive salary based on experience, with performance-linked incentives. Benefits include health insurance, retirement plans, and relocation assistance (if applicable).
Job Description:- We are seeking a visionary Data Science/AI ML Architect to lead the design and integration of cutting-edge AI systems, including Generative AI, Large Language Models (LLMs), multi agent orchestration, and retrieval-augmented generation (RAG) frameworks. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud. The ideal candidate combines architectural leadership with hands-on proficiency in modern AI frameworks, and can translate complex business goals into innovative, AI-driven technical solutions. Primary Stack and Tools: Languages: Python, SQL, Bash ML/AI Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers. GenAI & LLM Tooling: OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI. Agentic & Multi-Agent Frameworks: LangGraph, CrewAI, Agno, AutoGen Search & Retrieval: FAISS, Pinecone, Weaviate, Elasticsearch Cloud Platforms: AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock) MLOps & DevOps: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API Data Tools: Snowflake, BigQuery, Spark, Airflow. Key Responsibilities: Architect scalable and secure AI systems leveraging LLMs, GenAI, and multi-agent frameworks to support diverse enterprise use cases (e.g., automation, personalization, intelligent search). Design and oversee implementation of retrieval-augmented generation (RAG) pipelines integrating vector databases, LLMs, and proprietary knowledge bases. Build robust agentic workflows using tools like LangGraph, CrewAI, or Agno, enabling autonomous task execution, planning, memory, and tool use. Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps. Define and enforce AI/ML infrastructure best practices, including security, scalability, observability, and model governance. Manage technical roadmap, sprint cadence, and 3–5 AI engineers, coach on best practices. Lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards. Evaluate emerging GenAI & agentic tools; run proofs-of-concept and guide build vs-buy decisions. Qualifications: 9+ years of experience in AI/ML engineering or data science, with 2+ years in AI architecture or system design. Proven experience designing and deploying LLM-based solutions at scale, including fine-tuning, prompt engineering, and RAG-based systems. Strong understanding of agentic AI design principles, multi-agent orchestration, and tool-augmented LLMs. Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure. Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming). Familiarity with data governance, AI ethics, and security considerations in production-grade systems. Excellent communication and leadership skills, with the ability to influence. technical and business stakeholders.
This person will play a crucial role in managing and overseeing key aspects of the human resources function within the organization. This includes Performance Management, Compensation & Benefits Management, Learning & Development and organizational design, structure, culture and employee engagement and relations. The ideal candidate should have a broad understanding of HR practices and adept at handling multiple HR tasks in a fast-paced environment. This person will be directly reporting to the CHRO. Key Responsibilities: 1. Performance Management: • Manage performance appraisal processes that includes annual goal setting, periodic performance assessments, annual performance calibration with the leadership team etc. • Provide guidance and support to managers and employees on performance issues and development plans. • Implement employee recognition programs to enhance employee engagement and retention. 2. Compensation and Benefits management: • Assist in the administration of compensation and benefits programs. • Provide guidance to Leadership on annual salary revision, manage the annual performance bonus pay-out and annual salary revisions. • Address employee inquiries related to compensation and benefits. • Job level / grade / designation restructuring experience 3. Learning and Development: • Work with the stakeholders across the organization to Identify gaps in technical competencies and soft skills across different job roles within the organization. • Implement various delivery methods including workshops, seminars, e-learning modules, and on-the-job training to cater to diverse learning styles. • Coordinate with subject matter experts and external trainers to ensure high-quality delivery of technical and soft skills training sessions. • Establish metrics to measure the effectiveness of training programs in enhancing employee performance and productivity. • Conduct regular evaluations and gather feedback from participants, to continuously improve training initiatives. • Promote awareness of training opportunities and encourage employee participation in professional development activities. 4. Organizational Culture and Employee Engagement • Culture Development: Foster a positive organizational culture that promotes engagement, inclusivity, and productivity. • Employee Engagement: Develop and implement strategies to measure and improve employee engagement and satisfaction. • Communication: Ensure effective communication channels within the organization to keep employees informed and involved. • Team Development: Facilitate team-building activities to improve collaboration and performance. 5. Organizational Design and Structure • Structure Analysis: Assess and design organizational structures that support business goals and improve efficiency. • Role Definition: Clearly define roles and responsibilities to ensure clarity and accountability within the organization. 6. Employee Relations • Policy Development: Develop and enforce HR policies and procedures that support organizational development goals. • Compliance: Ensure that the organization complies with labour laws and regulations. Qualifications: • Bachelor’s degree in business administration or related field with a PG degree in HR from a reputed institute. • Minimum of 8 to 10 years of HR generalist experience, preferably in the IT/ITES industry. • Strong knowledge of Labour laws. • Excellent computer skills especially in MS Office – PowerPoint Excel and Word. • Exposure to HRMS tool • Understanding of LMS and other training tools will be an advantage. Personal Attributes: • High level of professionalism and integrity. • Strong problem-solving skills and attention to detail. • Ability to work independently and as part of a team. • Adaptability and ability to thrive in a fast-paced environment. • Excellent interpersonal, communication and presentation skills. • Strong organizational and multitasking abilities. • Ability to handle confidential information with discretion. • Ability to work collaboratively across departments and levels of the organization
🚀 We're Hiring: Data Scientist – GenAI & Agentic AI Specialist 📍 Location: Space Inventive | 💼 Experience: 4+ Years Space Inventive is a dynamic and forward-thinking company, helping global enterprises transform digitally through cutting-edge solutions in AI/ML, cloud engineering, data platforms, and business intelligence. We're looking for a passionate Data Scientist with hands-on experience in Generative AI , LLMs , and Agentic AI frameworks like LangChain and LangGraph . 🔍 What You'll Work On: Designing and deploying scalable NLP/ML models for real-world applications. Fine-tuning LLMs using LoRA, PEFT, QLoRA. Building GenAI apps using LangChain, Hugging Face, OpenAI API, and RAG. Integrating LLMs like ChatGPT, Gemini, Claude with context-aware capabilities. Developing LLM pipelines with data curation, preprocessing, and scalable deployment. Working with Transformer architectures (BERT, GPT, LLaMA, T5). Using tools like Flask, FastAPI, Docker, Kubeflow for deployment. Evaluating models using performance metrics and user feedback. 💡 Must-Have Skills: Strong Python and ML/NLP expertise. Experience with GenAI, prompt engineering, and vector databases (FAISS, ChromaDB). Familiarity with LangChain, LangGraph, LlamaIndex, vLLM, HuggingFace Transformers. Understanding of cost-performance tradeoffs in model deployment. 🌟 Bonus: Exposure to Agentic AI workflows. Knowledge of scalable architectures and logging tooling. Agile methodology experience (Scrum/Kanban). Join us in shaping the future of intelligent systems and digital transformation. 📩 Interested or know someone who fits? Drop a message or apply now! #Hiring #DataScientist #GenAI #AgenticAI #LangChain #LangGraph #LLMs #Transformers #AIJobs #SpaceInventive #Python #ML #NLP #LangChainJobs #LLMEngineering #AIInnovation
Key Responsibilities: Design, implement, and manage scalable, secure, and highly available infrastructure on AWS (or other cloud platforms). Build and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or GitHub Actions. Drive infrastructure automation with Terraform, CloudFormation, or Ansible. Deploy and manage containerized applications with Docker and Kubernetes (EKS) or ECS. Monitor system performance, troubleshoot production issues, and ensure high availability and reliability. Implement DevSecOps practices to ensure secure infrastructure and deployments. Collaborate closely with development, QA, and operations teams to streamline release processes and improve efficiency. Qualifications: 8+ years of experience in DevOps, SRE, or Cloud Infrastructure Engineering. Hands-on experience with AWS services such as EC2, S3, Lambda, VPC, IAM, and RDS (Aurora MySQL preferred). Strong skills in Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible. Proficiency in designing and managing CI/CD workflows with Jenkins, GitLab, or GitHub Actions. Experience with Docker and container orchestration platforms like Kubernetes (EKS) or ECS. Strong scripting skills in Python, Bash, or Shell. Familiarity with monitoring and logging tools like Prometheus, Grafana, Datadog, or ELK Stack.
Required Experience: 5–7 years in software testing, with at least 3 years focused on AI/ML applications Proven experience in hands-on testing and validation of GenAI or ML-based products 2+ years of agile testing experience in cross-functional, fast-paced environments Hands-on experience testing LLM-based applications (e.g., ChatGPT, Claude, Gemini) Strong proficiency in prompt engineering , model behavior analysis, and edge case identification Experience with API testing for AI services (OpenAI, Anthropic, Azure AI, Hugging Face) Familiarity with AI observability tools and testing frameworks (MLflow, Weights & Biases, LangSmith) Technical Skills: Advanced use of test automation tools (Selenium, Postman, Pytest, Robot Framework) Deep understanding of NLP concepts and evaluation metrics (BLEU, ROUGE, perplexity, METEOR) Experience with bias detection , fairness testing, and adversarial testing in AI systems Knowledge of model versioning , A/B testing, and performance benchmarking Proficiency in Agile testing tools (Jira, TestRail, Confluence) and CI/CD pipelines Working knowledge of transformer architectures , fine-tuning, and model interpretability Exposure to data drift , concept drift, and model degradation monitoring Key Responsibilities: Design and execute hands-on test cases for prompt accuracy, response quality, and safety validation Validate model outputs for hallucinations , bias , toxicity , and alignment issues Perform load and stress testing on AI inference endpoints and pipelines Test integration between GenAI models and enterprise application workflows Collaborate with product owners to define acceptance criteria and quality gates Participate in sprint ceremonies and contribute to release planning Document model behavior patterns, failure modes, and test coverage gaps Mentor junior testers and contribute to QA best practices for AI systems Actively contribute to test automation , tooling improvements , and test data generation