As a Sales Development Representative (Inside Sales) at our company, your primary focus will be on lead generation and qualification within the US enterprise market. Your role is crucial in driving pipeline growth by identifying key decision-makers across various industries and generating interest in AI-based solutions. Your responsibilities will include proactively identifying and reaching out to decision-makers in target industries using a combination of calls, emails, and social media for lead generation. You will also be responsible for tracking, nurturing, and qualifying leads to ensure a seamless handoff to the sales team for pipeline management. Additionally, you will serve as the initial point of contact for potential clients, creating strong initial engagement. It is important to maintain up-to-date knowledge of market trends and challenges in industries such as Healthcare, BFSI, Media & Telecom, Transportation, and Travel & Logistics. To excel in this role, you should have at least 5 years of experience in B2B lead generation or prospecting, particularly for US enterprise clients. You should have a proven track record of success in industries like Healthcare, BFSI, Media & Telecom, Transportation, or Travel & Logistics. Being tech-savvy with experience in CRM systems like HubSpot is essential, along with the ability to quickly learn new tools and platforms. Excellent written and verbal communication skills are necessary to initiate and build lasting relationships with clients. A strong work ethic, high motivation, self-drive, and goal-orientation are characteristics that will help you meet lead targets effectively. It would be advantageous if you have experience with Salesforce or other advanced CRM platforms, as well as prior experience in selling AI-based solutions. This position is based in Hyderabad.,
Inside Sales Reps with 4-10 years of Experience.
Experience : 12- 18 Yrs of experience as a Data Architect in complex, large-scale data environments. SSIS, Databricks Expertise : Strong hands-on experience working with SSIS, Databricks, including using Apache Spark for data processing and optimization. ETL Tools : Proficient with various ETL tools and frameworks such as Informatica, Talend, or SSIS or DataBricks Big Data Technologies: In-depth knowledge of big data processing frameworks like Spark, Flink, Hadoop, Kafka, etc. NoSQL/MongoDB: Expertise in working with NoSQL databases, especially MongoDB, for large-scale data storage, retrieval, and optimization. Gen AI/AIML Models : Familiarity with data consumption. Programming Skills: Proficient in SQL , Python or Java, Power shell for building data pipelines. SQL and NoSQL Proficiency: Strong knowledge of SQL and experience working with both relational databases and NoSQL databases like MongoDB. Data Modeling: Expertise in designing and implementing data models, including OLAP, OLTP, dimensional, and document-based models (NoSQL Data Reporting: Experience in integrating with Reporting platforms like Tableau, Qlik, etc Data warehousing: Data warehousing is a key part of ETL process, as it stores data from multiple sources in an organized manner and will be needed to build a repeatable ETL workflow to support many different data sources. Experience in building Datawarehouse, Datalakes in Snowflake. Redesign and refactor legacy custom ETL processes to reusable ETL workflows that can ingest diverse data sources to normalize data to standard JSON / XML output. Data Governance: Knowledge of data governance, security standards, and best practices for managing sensitive data. Version Control: Experience with Git or other version control systems for code management. Certification: Databricks certification, MongoDB certification, Snowflake SnowPro certification, or other relevant certifications in data engineering, cloud platforms (AWS, Azure or GCP or TKGI), or big data technologies. Soft Skills: Strong problem-solving skills, excellent communication, and the ability to work in a collaborative team environment. Analytical Mindset: Ability to translate business requirements into scalable, efficient, and reliable ETL solutions. Knowledge on AI/ML/GEN AI is desirable
Job Description: Cybersecurity Systems Architect – AI-Driven Security Platforms Location: Hyderabad Department: Architecture & Engineering Reports to: CTO / Head of Engineering Role Overview We are looking for a Cybersecurity Systems Architect with deep expertise in security infrastructure, enterprise defense systems, and advanced AI/ML technologies. This role is hands-on and highly technical — you will be responsible for designing and architecting next-generation cyber defense platforms that leverage AI agents, reasoning systems, and autonomous remediation workflows. The ideal candidate has extensive experience in building and scaling enterprise-grade security systems (SIEM, SOAR, XDR, IAM, Cloud Security) and can work closely with AI/ML teams to create autonomous, explainable, and resilient AI-powered security solutions. Key Responsibilities Architecture & System Design Architect the end-to-end AI-driven cybersecurity suite (SIEM/SOAR/XDR integrations, threat detection, response automation). Define system reference architectures , security models, and design blueprints for agentic AI integration into SOC workflows . Ensure scalability, resilience, and compliance of systems across cloud, hybrid, and on-prem infrastructures. Lead technical evaluations of data pipelines, detection models, and response automation frameworks. Cybersecurity Expertise Provide deep technical expertise in threat detection, SOC operations, endpoint protection, IAM, and cloud security. Architect integrations with existing enterprise tools (e.g., CrowdStrike, SentinelOne, Splunk, Palo Alto, Fortinet). Translate real-world attack vectors (APTs, zero-days, insider threats) into defensive AI-driven countermeasures. Evaluate security risks of autonomous AI agents and design guardrails, safety nets, and auditability mechanisms. At least one hyperscaler (AWS, Azure, or GCP) cyber security tools required. AI/ML Integration Partner with data scientists to design AI/agentic systems that can reason, learn, and adapt (LLMs, anomaly detection, reinforcement learning). Architect data pipelines for ingesting telemetry at scale (logs, EDR, NDR, cloud telemetry). Define standards for explainability and transparency of AI-driven remediation decisions. Leadership & Mentorship Act as the technical authority for all cybersecurity system design decisions. Mentor engineers and product managers on security best practices and architectural principles. Collaborate cross-functionally with AI researchers, product managers, and customer-facing teams . Qualifications Education / Background Bachelor’s or Master’s in Computer Science, Cybersecurity, or Systems Engineering . 10–12+ years in enterprise cybersecurity architecture, SOC design, or advanced security engineering . Core Expertise Security Architecture: Strong knowledge of SIEM, SOAR, XDR, EDR, IAM, CASB, Zero Trust, and cloud security architectures. System Design: Large-scale distributed systems, high-throughput data pipelines, secure integrations. Threat Landscape: Deep familiarity with adversary tactics (MITRE ATT&CK), advanced persistent threats, and red-team/blue-team scenarios. AI & Automation Hands-on understanding of AI/ML frameworks (LLMs, RLHF, anomaly detection, autonomous agents). Experience with security automation frameworks (SOAR, orchestration pipelines, playbooks). Strong interest or experience in agentic AI applied to cybersecurity . Certifications (Preferred) CISSP, CISM, or SABSA (Enterprise Security Architecture). Cloud Security certifications (AWS Security, Azure Security Architect, GCP Professional Cloud Security Engineer). Offensive/Defensive certs (OSCP, CEH, GIAC) a plus.
Data AI/ML Scientist Location: Hyderabad (Work from Office) Experience: 17+ years relevant experience Education: BE / BTech / MCA mandatory; MTech/PhD in AI/ML, Statistics, or Applied Math preferred Role Overview We are seeking a highly skilled AI/ML Scientist to lead enterprise-grade AI/ML research and deployment. This role spans statistical modeling, classical ML, deep learning, and cutting-edge Generative AI to solve real-world challenges. Key Responsibilities Design, build, and deploy models across classical ML, statistical reasoning, deep learning, NLP, CV, GenAI, and Agentic AI . Build statistical reasoning models for forecasting, inference, and optimization. Conduct rigorous experimentation, validation, and A/B testing . Develop production-ready ML pipelines with engineering teams. Research and integrate latest AI/ML advancements into enterprise solutions. Skills & Tools Classical ML: Regression, Classification, Trees, Ensembles, XGBoost. Statistics: Hypothesis testing, Bayesian inference, Time Series forecasting, Causal modeling. Deep Learning: CNNs, RNNs, Transformers, GANs, Reinforcement Learning. Generative AI & LLMs: Prompt Engineering, Fine-tuning, Hugging Face, LangChain. Tools: Python, R, TensorFlow, PyTorch, Scikit-learn, Statsmodels . MLOps: MLflow, Kubeflow, Vertex AI, SageMaker, Databricks ML. Certifications (Preferred) Cloud AI/ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI) Deep Learning Specializations (Stanford, Coursera, Databricks ML Certs) Soft Skills Ability to explain complex ML models in simple business terms. Strong data storytelling and presentation skills. Curious, innovative, and research-driven mindset. Leadership to mentor teams of ML engineers & data scientists.
Data AI/ML Scientist Location: Hyderabad (Work from Office) Experience: 17+ years relevant experience Education: BE / BTech / MCA mandatory; MTech/PhD in AI/ML, Statistics, or Applied Math preferred Role Overview We are seeking a highly skilled AI/ML Scientist to lead enterprise-grade AI/ML research and deployment. This role spans statistical modeling, classical ML, deep learning, and cutting-edge Generative AI to solve real-world challenges. Key Responsibilities Design, build, and deploy models across classical ML, statistical reasoning, deep learning, NLP, CV, GenAI, and Agentic AI . Build statistical reasoning models for forecasting, inference, and optimization. Conduct rigorous experimentation, validation, and A/B testing . Develop production-ready ML pipelines with engineering teams. Research and integrate latest AI/ML advancements into enterprise solutions. Skills & Tools Classical ML: Regression, Classification, Trees, Ensembles, XGBoost. Statistics: Hypothesis testing, Bayesian inference, Time Series forecasting, Causal modeling. Deep Learning: CNNs, RNNs, Transformers, GANs, Reinforcement Learning. Generative AI & LLMs: Prompt Engineering, Fine-tuning, Hugging Face, LangChain. Tools: Python, R, TensorFlow, PyTorch, Scikit-learn, Statsmodels . MLOps: MLflow, Kubeflow, Vertex AI, SageMaker, Databricks ML. Certifications (Preferred) Cloud AI/ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI) Deep Learning Specializations (Stanford, Coursera, Databricks ML Certs) Soft Skills Ability to explain complex ML models in simple business terms. Strong data storytelling and presentation skills. Curious, innovative, and research-driven mindset. Leadership to mentor teams of ML engineers & data scientists.
Job Summary: The Head of IFRS will lead and develop International Financial Reporting Standards (IFRS) practice across India locations. This leadership role is responsible for oversight, interpretation, and application of International Financial Reporting Standards (IFRS), specifically focusing on UK-based client accounts. This role will play a key part in strengthening technical capabilities, driving operational excellence, and supporting business expansion across global client portfolios. Note: Interested...? please share your updated CV to ranjith.palle@covasant.com Key Responsibilities: Leadership & Strategy Provide vision and strategic direction for the IFRS service line, aligning team goals with GI Outsourcing’s overall business objectives. Define and implement IFRS delivery frameworks, KPIs, and best practices across all locations. Collaborate with senior leadership and the Executive Committee to shape the long-term IFRS roadmap and service innovations, and growth strategy. Lead initiatives that enhance operational efficiency, scalability, and profitability within the IFRS division. Technical Excellence IFRS compliance : Ensure client financial statements, reports, and disclosures are prepared accurately and in full compliance with current IFRS and UK accounting regulations. Policy Development : Lead the development, maintenance, and rigorous application of the group's accounting policies and procedures across the Indian operations to ensure consistency with UK regulatory requirements. Statutory Reporting : Oversee the end-to-end preparation, review, and quality control of statutory financial statements for UK clients, ensuring absolute compliance with UK legal and accounting standards. Adoption of new standards : Monitor upcoming IFRS developments, assess their impact on UK clients, and lead the implementation of new standards and policies UK GAAP to IFRS transition : Lead and oversee transition projects for UK clients migrating from UK GAAP (Generally Accepted Accounting Principles) to IFRS. Compliance & Governance Ensure all IFRS engagements comply with professional, legal, and ethical standards. Establish and monitor internal review mechanisms to maintain data integrity and reporting accuracy. Liaise with regulatory bodies and stay informed about emerging compliance requirements. Champion transparency, documentation standards, and audit-readiness across all IFRS functions. Client Management & Communication Act as a senior technical advisor to clients, providing strategic insights and practical solutions to IFRS-related challenges. Foster long-term client relationships through proactive communication, technical confidence, and reliable service delivery. Support business development by contributing to client proposals, presentations, and IFRS-led consulting opportunities. Collaborate with UK and India-based teams to ensure consistent client experience across all service lines. Technology & Transformation Drive the adoption of modern accounting technologies, automation tools, and analytics platforms to improve IFRS reporting efficiency. Partner with IT and transformation teams to implement digital solutions that enhance accuracy, turnaround time, and data transparency. Promote innovation through continuous improvement initiatives and integration of technology into financial processes. Qualifications & Experience: Professional Qualification : Must possess a globally recognised, senior professional accounting qualification, such as ACA, ACCA or an equivalent Chartered Accountant (CA) qualification. Education: Bachelor's or Master’s degree in Accounting, Finance, or a related field. A minimum of 12-14 years of progressive experience in financial reporting and technical accounting, with a significant focus on UK IFRS/UK GAAP. Extensive post-qualification experience, ideally gained within an outsourcing firm or leading audit/consulting organization, followed by a senior role in a multinational corporation, financial services firm, or shared services environment. Demonstrated expertise in interpreting and applying complex IFRS standards. Experience in managing UK or international client portfolios preferred. Excellent leadership, communication, and client management skills. Preferred Attributes: Executive Presence: Ability to interact, influence, and communicate effectively at the top leadership and Board. Outsourcing/Offshore Model Experience: Deep understanding of the outsourcing delivery model, including managing service levels, governance, and quality in a high-volume, deadline-driven environment. Strategic & Commercial Acumen: Beyond technical expertise, the candidate must have the ability to translate technical accounting impacts into clear commercial terms that influence business strategy and client outcomes. Change Management: Proven track record in leading large-scale technical change projects, such as system implementations or the adoption of new IFRS standards across a geographically dispersed team. Advanced IT Skills: Proficiency in major accounting software (e.g., SAP, Oracle, Xero, CaseWare) and financial reporting systems. Why Join Us? • Global exposure to UK and international clients across diverse industries. • Leadership visibility with direct interaction with senior management and Executive Committee. • Continuous learning and development opportunities in a high-growth environment. • Collaborative, inclusive, and innovation-driven culture. • Part of a trusted global brand known for excellence in accounting and outsourcing services.
As the Head of IFRS at Covasant, your role will involve leading and developing the International Financial Reporting Standards (IFRS) practice across various locations in India. Your primary responsibilities will include overseeing the interpretation and application of IFRS for UK-based client accounts, enhancing technical capabilities, driving operational excellence, and supporting business expansion across global client portfolios. **Key Responsibilities:** - **Leadership & Strategy:** - Provide vision and strategic direction for the IFRS service line, aligning team goals with GI Outsourcing's overall business objectives. - Define and implement IFRS delivery frameworks, KPIs, and best practices across all locations. - Collaborate with senior leadership to shape the long-term IFRS roadmap and service innovations. - Lead initiatives to enhance operational efficiency, scalability, and profitability within the IFRS division. - **Technical Excellence:** - Ensure accurate preparation of client financial statements, reports, and disclosures in compliance with current IFRS and UK accounting regulations. - Lead the development and application of accounting policies and procedures to ensure consistency with UK regulatory requirements. - Oversee statutory reporting for UK clients, ensuring compliance with UK legal and accounting standards. - Monitor upcoming IFRS developments and lead the implementation of new standards and policies. - **Compliance & Governance:** - Ensure all IFRS engagements comply with professional, legal, and ethical standards. - Establish internal review mechanisms to maintain data integrity and reporting accuracy. - Liaise with regulatory bodies and stay informed about emerging compliance requirements. - Champion transparency, documentation standards, and audit-readiness across all IFRS functions. - **Client Management & Communication:** - Act as a senior technical advisor to clients, providing strategic insights and solutions to IFRS-related challenges. - Foster long-term client relationships through proactive communication and reliable service delivery. - Support business development initiatives by contributing to client proposals, presentations, and consulting opportunities. - **Technology & Transformation:** - Drive the adoption of modern accounting technologies and automation tools to improve reporting efficiency. - Collaborate with IT teams to implement digital solutions that enhance accuracy and data transparency. - Promote innovation through continuous improvement initiatives and technology integration into financial processes. **Qualifications & Experience:** - Possess a globally recognized, senior professional accounting qualification such as ACA, ACCA, or an equivalent CA qualification. - Hold a Bachelor's or Master's degree in Accounting, Finance, or a related field. - Have 12-14 years of progressive experience in financial reporting with a focus on UK IFRS/UK GAAP. - Demonstrate expertise in interpreting and applying complex IFRS standards. - Experience in managing UK or international client portfolios is preferred. - Exhibit excellent leadership, communication, and client management skills. Join Covasant for global exposure to UK and international clients, leadership visibility, continuous learning opportunities, a collaborative culture, and the chance to be part of a trusted global brand known for excellence in accounting and outsourcing services. For further inquiries, please share your updated CV to ranjith.palle@covasant.com. As the Head of IFRS at Covasant, your role will involve leading and developing the International Financial Reporting Standards (IFRS) practice across various locations in India. Your primary responsibilities will include overseeing the interpretation and application of IFRS for UK-based client accounts, enhancing technical capabilities, driving operational excellence, and supporting business expansion across global client portfolios. **Key Responsibilities:** - **Leadership & Strategy:** - Provide vision and strategic direction for the IFRS service line, aligning team goals with GI Outsourcing's overall business objectives. - Define and implement IFRS delivery frameworks, KPIs, and best practices across all locations. - Collaborate with senior leadership to shape the long-term IFRS roadmap and service innovations. - Lead initiatives to enhance operational efficiency, scalability, and profitability within the IFRS division. - **Technical Excellence:** - Ensure accurate preparation of client financial statements, reports, and disclosures in compliance with current IFRS and UK accounting regulations. - Lead the development and application of accounting policies and procedures to ensure consistency with UK regulatory requirements. - Oversee statutory reporting for UK clients, ensuring compliance with UK legal and accounting standards. - Monitor upcoming IFRS developments and lead the implementation
About the Role We are looking for experienced AI/ML Architects to join our AI Engineering service line. In this role, you will anchor the technical delivery of enterprise AI/Agentic AI projects post deal-closure. You will take over from solution architects and lead the design, build, deployment, and optimization of AI/ML systems — ensuring production-grade quality, scalability, and compliance. You will interface with cross-functional teams, manage engineering complexity, and ensure value realization for customers across industries such as BFSI, HLS, Manufacturing, CMT, Retail, and Energy. Key Responsibilities Architecture & Technical Leadership 1) Own the end-to-end technical architecture and solution integrity during project delivery. 2) Translate solution blueprints into detailed technical designs, backlog, and integration plans. 3) Lead detailed design reviews, ensure alignment with AI platform, MLOps, and Agentic AI best practices. 4) Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation. 5) Serve as technical anchor for customer AI/ML and Agentic AI projects. Guide engineering teams on modular, secure, and reusable implementation strategies. 6) Review and validate code, infrastructure scripts, and ML pipelines for quality, performance, and reliability. 7) Oversee data pipelines, model training, LLMOps, and model deployment workflows. 8) Provide hands-on support for complex components: LLM pipelines, vector stores, fine-tuning, evaluations. 9) Resolve system integration challenges across APIs, knowledge stores, and orchestration layers. 10) Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, etc. Please share your profiles on karuna.vempala@covasant.com