Responsibilities: Take initiatives to innovate and challenge current processes and bring in efficiencies. Overseeing book closure. Preparation of monthly financials, standalone financials, and consolidated financials for the group as per IndAS. Point of Contact (POC) for statutory audit, internal audit, and IFC. Handle a team. SAP working experience. Contribute to SAP integration for the respective field. This is a great opportunity for the right person to learn and grow in an MNC setting. Requirements: You are a CA with 4+ years of working experience in the Corporate Finance & Accounts team with experience in SAP and consolidation of entities. Proficiency in Excel and curiosity to learn new tools. In-depth understanding of Ind AS, accounting practices and policies, book closure, and MIS process. Good presentation and communication skills with meticulous attention to detail. Strong organization, time management skills, and ability to multitask. High levels of ownership, ability to work independently under guidance, proactive. You are a self-starter, a good communicator, have team spirit, and take ownership in the work. Your energy and curiosity will help you understand and evolve our processes. Location of Work: Bangalore/Hyderabad/Delhi/Remote Qualification: CA with 4+ years of experience.

Excelra is currently seeking passionate and detail-oriented professionals for the role of Omics Metadata Annotation and Harmonization Specialist / Data Asset Creator / Subject Matter Expert . If you have a strong background in life sciences and a keen interest in enhancing the quality and usability of large-scale omics datasets, we would love to connect with you! About the Role: As part of our dynamic team, you will: Curate and annotate omics metadata (genomics, epigenomics, transcriptomics, proteomics). Apply controlled vocabularies and ontologies (e.g., MeSH, GO, EFO) to ensure data consistency. Harmonize metadata across diverse datasets to support integrative research. Uphold FAIR data principles to enable seamless data integration and analysis. What Were Looking For: Ph.D./M.Sc./M.Tech in Life Sciences with strong domain knowledge. Experience with molecular biology techniques and omics data interpretation. Familiarity with repositories like GEO, ArrayExpress, NCBI, and ontologies. Excellent communication, problem-solving skills, and attention to detail. Bonus Skills: Experience in metadata curation and harmonization. Knowledge of Linux, BASH scripting, R, or cloud computing. Why Excelra? At Excelra, we blend scientific expertise with cutting-edge technology to transform research data into actionable insights. Join us in driving innovation in drug discovery and development. Location: Hyderabad, Bangalore, Delhi/NCR If this opportunity excites you or someone in your network, we encourage you to apply or share this message. Looking forward to hearing from you!

Program Management Team/Bioinformatics BU (Full Time Employment) Excelra is looking for highly skilled and motivated members for the Program Management Team with technical experience across multiple domains (AI/ML,NGS/human genetics/statistics, software development, project management, agile methodology) in bioinformatics to join the Bioinformatics team. The successful candidate will be expected to demonstrate the following competencies: 1. Project management as well as program management across different projects in key client accounts. 2. Liaison the relationship between client and Excelra 3. Contribute to efforts to increase operational efficiency among projects. 4. Collaboration with delivery for successful delivery of projects 5. Interact with the technical stakeholders of clients to identify new business opportunities. Qualifications: • PhD with 2-3 years of industrial experience or M.Sc/M.Tech with 5+ years’ experience in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or related field. • Strong track record of omics (NGS) data analysis, scRNA-Seq analysis or ML/AI and downstream systematic interpretation are must. • Expertise in one or more programming/scripting languages such as R, Python, shell-script for complex data analysis. • Experience in image analysis, knowledge graphs, deep learning and/or LLM’s is an advantage. • Some experience in data engineering techniques, full-stack development is expected. • Understanding of current best practices in computational biology data-management (NGS/Transcriptiomics/Microarray/Proteomics/Clinical-trials/Text-mining, etc.) is an added advantage. • Experience with Docker, Linux environment or cloud computing (AWS/GCP) is a plus. • Experience with Relational database such as Postgres, MySQL, or Oracle, is a plus. • Experience with version control systems such as GitHub, is a plus. • Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods, and tools. • Ability to generate scientific hypothesis along with good scientific/technical communication skills would be preferred. Show more Show less

Job Title: Generative AI Specialist Experience: Total 7+ Years | Relevant - 3 to 5 Years Location: Hyderabad Employment Type: Full-Time Job Description We are seeking a highly skilled and innovative Generative AI Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and deploying AI models, particularly in the domain of generative AI and large language models (LLMs). Key Responsibilities Design & Development: Architect and build generative AI models, algorithms, and frameworks. Model Implementation: Integrate AI models into existing systems and applications. LLM Expertise: Work with tools like LangChain, Haystack, and apply prompt engineering techniques. Data Handling: Preprocess and analyze data for model training and evaluation. Cross-functional Collaboration: Partner with data scientists, product managers, and other stakeholders. Testing & Deployment: Evaluate model performance and deploy models to production. Monitoring & Optimization: Track model performance and continuously improve results. Research & Innovation: Stay updated with the latest advancements in generative AI. Required Skills Proficiency in Python for AI development. Strong understanding of Generative AI , NLP , and LLMs . Experience with RAG pipelines and vector databases . Familiarity with frameworks like LangChain , Haystack , and other open-source libraries. Knowledge of prompt engineering and tokenization . Experience in fine-tuning and integrating AI models in production. Excellent communication and problem-solving skills. Optional Skills Experience with cloud platforms (GCP, AWS, Azure). Familiarity with MLOps and DevOps practices. Why Join Us? Work on cutting-edge AI technologies. Collaborate with a passionate and talented team. Opportunity to innovate and shape the future of AI applications. How to Apply Interested candidates can apply directly through Naukri or send your updated resume to shilpa.shapur@Excelra.com

Job Summary: We are seeking a highly skilled and innovative Senior AI/ML Engineer with strong experience in building Generative AI solutions from MVP to production. The ideal candidate should have hands-on expertise in multi-agent orchestration, prompt engineering, RAG architecture, and advanced Python frameworks such as LangChain, LangGraph, and AutoGen. Experience with Databricks and tool integrations (e.g., GitHub, UI components) is essential. Key Responsibilities: Design and implement Generative AI solutions, taking projects from MVP to scalable production systems. Build, orchestrate, and optimize multi-agent architectures using frameworks like LangChain, LangGraph, and AutoGen. Integrate external tools and APIs into AI agents (e.g., GitHub, internal/external UI components). Lead the development and deployment of RAG (Retrieval-Augmented Generation) pipelines. Collaborate with cross-functional teams to align AI solutions with business goals. Leverage Databricks for scalable data processing, ML model development, and deployment. Develop, refine, and evaluate prompts for LLM-based tasks (Prompt Engineering). Monitor and optimize the performance and accuracy of AI systems in production. Required Skills & Qualifications: 5+ years of experience in AI/ML, with at least 2 years focused on Generative AI solutions. Strong programming skills in Python and proficiency in GenAI frameworks (LangChain, LangGraph, AutoGen). Experience with building and orchestrating multi-agent systems. Proven track record in taking GenAI-based MVPs to full-scale production. Hands-on experience in integrating AI agents with tools and platforms (e.g., GitHub, custom UIs). Solid understanding and implementation experience with RAG architecture and prompt engineering. Proficiency with Databricks for data and ML workflows. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Nice to Have: Experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Exposure to cloud environments (Azure, AWS, or GCP). Familiarity with CI/CD for ML pipelines.

Job Description: We are looking for an experienced Data Scientist with over 5 years of hands-on expertise in machine learning , particularly in clustering and classification tasks . The ideal candidate will have practical experience working with Large Language Models (LLMs) such as GPT, especially in areas like prompt engineering, summarization, and fine-tuning . Exposure to life sciences or biomedical datasets is highly desirable. Key Responsibilities: Design and implement machine learning models for clustering and classification. Work with LLMs for experimentation, evaluation, and fine-tuning. Apply data science techniques to healthcare or biomedical datasets. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings clearly through reports, dashboards, and presentations. Must-Have Skills: 5+ years of experience in data science and machine learning. Strong proficiency in clustering and classification techniques. Hands-on experience with Python and libraries like Scikit-learn, Pandas, NumPy. Experience working with LLMs (e.g., GPT) for real-world use cases. Exposure to healthcare, clinical, or life sciences datasets (preferred). Strong statistical analysis and data interpretation skills. Excellent communication and problem-solving abilities. Preferred Candidate Profile: Immediate joiners or candidates with a notice period of 015 days . Passionate about applying AI/ML to real-world problems in life sciences. Comfortable working in a fast-paced, collaborative environment.

About the Role We are looking for a proactive and detail-oriented Accounts Payable Specialist to join our dynamic finance team. This is a fantastic opportunity to grow within a multinational environment, contribute to process improvements, and gain exposure to international accounting practices. Job Title: Accounts Payable Specialist Location: Bangalore / Hyderabad / Delhi / Remote Qualification: B. Com Experience Required: 4+ years in Accounts Payable / SAP Key Responsibilities Drive innovation and efficiency by challenging existing processes. Ensure timely invoice processing and maintain ageing reports of payables. Act as Point of Contact (POC) for statutory, internal, and tax audits related to AP. Work extensively with SAP and contribute to SAP integration projects. Handle ad-hoc payment and compliance requirements including TDS and GST reconciliation. Perform regular vendor reconciliations. Manage foreign remittances and documentation (Form 15CA, 15CB). Serve as POC for international accounting matters. What Were Looking For 4+ years of experience in accounting, preferably in AP/AR roles. Strong proficiency in Excel and eagerness to learn new tools. Solid understanding of accounting principles, book closure, and MIS processes. Excellent communication and presentation skills with attention to detail. Strong organizational and time management skills; ability to multitask effectively. High ownership and ability to work independently with minimal supervision. Self-starter with a collaborative mindset and a passion for continuous improvement. Why Join Us? Work in a fast-paced, global environment. Opportunity to learn and grow in a multinational setting. Be part of a team that values innovation, ownership, and continuous learning.

Must have skillsets Required Skills: • 5 years of experience in ML Ops, DevOps, or Data Engineering roles. • Hands-on experience with Azure services, including: o Azure Machine Learning o Azure DevOps (CI/CD) o Azure Kubernetes Service (AKS) o Azure Data Lake / Blob Storage o Azure Functions / Logic Apps • Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Familiarity with containerization (Docker) and orchestration (Kubernetes). • Experience with ML model monitoring and logging tools. • Knowledge of ML model versioning and experiment tracking (e.g., MLflow, DVC). • Strong understanding of software development best practices and agile methodologies. • Familiarity with Terraform or Bicep for Azure infrastructure provisioning. • Exposure to Responsible AI and governance frameworks on Azure. • Experience working in regulated industries (healthcare, Pharma & Life Sciences) is a plus. Role & responsibilities Preferred candidate profile

Position Overview: We are seeking a highly qualified Sr Frontend Engineer to join our development team. Required Qualifications and Technical Requirements: Experience Level: 8+ years of professional experience in frontend development Core Technologies: Extensive experience with React, Next.js, and React Charts libraries Architecture Knowledge: Demonstrated experience with micro frontend concepts and webpack module federation Technical Leadership: Strong hands-on experience in React development with proven ability to lead the design and development of complex UI applications Production Experience: Substantial experience in production-level application development and deployment Quality Standards: Exceptional attention to detail and demonstrated ability to follow through on all aspects of the software development lifecycle API Integration: Proven experience in integrating frontend applications with REST APIs and backend services Styling Expertise: Strong proficiency in CSS, stylesheets, and modern styling frameworks Responsive Development: Experience with responsive application development AI Development Tools: Hands-on experience with AI-powered coding assistants and development tools Modern Tooling: Proficiency with Vibe coding tools and other contemporary development environments Additional Considerations: The ideal candidate will possess strong problem-solving skills, excellent communication abilities, and experience working in collaborative development environments.

Job Title: Agentic AI Architect Experience Level: 10+ years Must-Have Skills: 2+ years of hands-on experience in agentic AI / multi-agent systems. Proficiency with LangChain, Langraph, CrewAI, AutoGen, Haystack, or equivalent frameworks. Strong background in Python and experience with prompt engineering, tools integration, and chaining logic. Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures. Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral). Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure). Ability to lead architectural discussions, PoCs, and hands-on development in fast-paced environments. Model-cost profiling and budgeting (API call minimization, batch vs. streaming) Latency tuning for real-time agents, Autoscaling strategies. Job Title: AI Consultant: Consulting Mandate: AI-Readiness & Internal Adoption Strategy Objective: Equip Excelras senior leadership with a clear understanding of the most relevant, cost-effective AI technologies (incl. generative AI, LLM co-pilots, agentic AI, etc.) for internal use, and deliver a pragmatic roadmap to drive enterprise-wide AI readiness and adoption across core business functions. Scope & Focus Areas: Internal Use Only: Focus exclusively on applying AI to internal functions and workflows exclude data curation automation and market-facing AI products. Functions in Scope: Project Delivery, Pre-Sales / Customer Solutioning, Sales, Marketing, Finance, HR, Legal, and other support/ops functions. Engagement Modules: 1. Executive AI Workshop (Education & Awareness) 2. Internal AI Opportunity Scan 3. AI Readiness & Change Enablement Roadmap Expected Outcomes: Excelra leadership is educated and aligned on internal AI potential. Clear prioritization of practical AI use cases across functions. Organizational roadmap to enable scalable, secure, and effective AI adoption internally.

Excelra is looking for a highly skilled and motivated biologist / bioinformatician with expertise in disease biology especially in the therapeutic area of rare diseases, oncology / immuno-oncology. Knowledge of open-source databases and experience in in-silico target assessment, prioritization and validation of target, drug repurposing and indication expansion, target-disease interaction, disease pathophysiology, understanding mechanism of action of the drug based on the available scientific literature and hypothesis generation is desirable. Knowledge of target protein families and their therapeutic implications in a therapeutic area would be an advantage. Understanding disease pathogenesis and implication of targets in the disease pathology. • Collecting and reviewing data from data bases, literature mining, making associations between target, drug and disease. • Understanding mechanism of action of drug, hypothesis building, indication expansion. • Data Asset Creation (curation), including ontology tagging and annotating omics datasets with accurate, standardized information (e.g., sample descriptions, experimental conditions). • Standardizing data formats, implementing rigorous quality control measures to ensure data accuracy, completeness, and compliance with industry standards. • Compilation of data, preparation of slide-deck and presentations to client and client communication. • Understanding the client requirements and proactively providing meaningful insights. • Work closely with cross-functional teams, including data scientists, bioinformaticians, and research scientists, to understand data needs, project goals, and harmonization requirements. • Contribute to the preparation of relevant marketing collateral as needed. • Thinking innovatively and contributing towards idea generation for new initiatives.

Technical Program Manager I/II Program Management Team/Bioinformatics BU (Full Time Employment) Excelra is looking for highly skilled and motivated members for the Program Management Team with technical experience across multiple domains (AI/ML,NGS/human genetics/statistics, software development, project management, agile methodology) in bioinformatics to join the Bioinformatics team. The successful candidate will be expected to demonstrate the following competencies: 1. Project management as well as program management across different projects in key client accounts. 2. Liaison the relationship between client and Excelra 3. Contribute to efforts to increase operational efficiency among projects. 4. Collaboration with delivery for successful delivery of projects 5. Interact with the technical stakeholders of clients to identify new business opportunities. Qualifications: • PhD with 2-3 years of industrial experience in Bioinformatics, Computer Science, Bioengineering, Computational Biology, or related field. • Strong track record of scRNA-Seq and other Omics (NGS) data analysis and downstream systemic interpretation are must. • Good understanding of current best practices in computational biology data-management (NGS/Transcriptiomics/Microarray/Proteomics/Clinical-trials/Text-mining, etc.). • Expertise in one or more programming/scripting languages such as R, Python, shell-script for complex data analysis. • Experience with Docker and Nextflow. • Familiarity with machine learning is an added advantage. • Experience with Linux environment or cloud computing (AWS/GCP) is a plus. • Experience with Relational database such as Postgres, MySQL, or Oracle, is a plus. • Experience with version control systems such as GitHub, is a plus. • Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods, and tools. • Ability to generate scientific hypothesis along with good scientific/technical communication skills would be preferred. Roles & Responsibilities: The selected candidate will be part of the Excelra’s Bioinformatics group. You will be responsible to work with a team in research data analysis in both prospective and retrospective manner to generate the novel hypothesis. • Work with diverse customers/partners in drug discovery and development • Work with multi-disciplinary team of PhD level scientists • Responsible for day-to-day operational activities of Omics (NGS) related projects • Keeping up to date with relevant scientific and technical developments • present the results and scientific hypotheses to internal and external stake holders • Good communication and analytical skills combined with ability to recognize and implement project plans. • Writing research papers, reports, reviews, and su

Must Have Skills: 2+ years of hands-on experience in agentic AI / multi-agent systems. Proficiency with LangChain, Langraph, CrewAI, AutoGen, Haystack, or equivalent frameworks. Strong background in Python and experience with prompt engineering, tools integration, and chaining logic. Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures. Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral). Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure). Ability to lead architectural discussions, PoCs, and hands-on development in fast-paced environments. Model-cost profiling and budgeting (API call minimization, batch vs. streaming) Latency tuning for real-time agents, Autoscaling strategies." Exposure to Autonomous AI agents (AutoGPT, BabyAGI, CAMEL, MetaGPT). Understanding of LLM fine-tuning, adapters, and RLHF. Experience with agent simulation, environment modeling, or reinforcement learning is a plus. Familiarity with compliance, privacy, and safety in GenAI deployments. Prior experience in building domain-specific agents (Lifescience, healthcare, Pharma). Key Responsibilities: Architect and implement agentic AI systems using modern LLM orchestration frameworks (LangChain, CrewAI, AutoGen, etc.). Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents. Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence. Lead hands-on development and deployment of GenAI applications (e.g., assistants, copilots, decision support). Evaluate and integrate LLMs (OpenAI, Claude, Mistral, LLaMA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG). Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints. Guide teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuning. Collaborate with stakeholders to translate business requirements into technical solutions using agent-based paradigms. Continuously monitor trends in multi-agent systems, cognitive architectures, and open-source AI frameworks.