11 open roles.
All building something real.

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

• Own the end-to-end technical architecture and solution integrity during project delivery.
• Translate solution blueprints into detailed technical designs, backlog, and integration plans.
• Lead detailed design reviews, ensure alignment with AI platform, MLOps, and Agentic AI best practices.
• Select appropriate frameworks, APIs, libraries, and cloud-native services for implementation.
• Serve as technical anchor for customer AI/ML and Agentic AI projects.
• Guide engineering teams on modular, secure, and reusable implementation strategies.
• Review and validate code, infrastructure scripts, and ML pipelines for quality, performance, and reliability.
• Oversee data pipelines, model training, LLMOps, and model deployment workflows.
• Provide hands-on support for complex components: LLM pipelines, vector stores, fine-tuning, evaluations.
• Resolve system integration challenges across APIs, knowledge stores, and orchestration layers.
• Implement or validate MLOps workflows using MLflow, Airflow, Argo, KServe, BentoML, etc.

Technical Skills

Job Summary

We are seeking a skilled and innovative AI/ML Engineer with 4–10 years of experience to join our dynamic data science and engineering team. The ideal candidate will have strong expertise in building and deploying machine learning models and AI solutions in production environments. You will work closely with data scientists, software engineers, and business stakeholders to solve complex problems using cutting-edge AI/ML technologies.

Key Responsibilities

• Design, develop, train, and deploy machine learning models for real-world business problems.
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
• Work on NLP, Computer Vision, or Predictive Modeling projects based on business needs.
• Collaborate with data engineers to build scalable data pipelines and ensure high data quality.
• Evaluate and improve model performance through experimentation, tuning, and A/B testing.
• Implement and maintain MLOps workflows (model versioning, CI/CD, monitoring).
• Stay up to date with the latest trends in AI/ML research and tools.

Required Skills & Experience

• 4–7 years of hands-on experience in AI/ML model development and deployment.
• Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, pandas, NumPy.
• Experience with NLP, Computer Vision, or Time Series modeling.
• Familiarity with cloud platforms like AWS, Azure, or GCP for model deployment.
• Understanding of MLOps tools such as MLflow, DVC, Airflow, Docker, and Kubernetes.
• Experience with data querying using SQL and data handling using APIs or data lakes.
• Exposure to LLMs or Generative AI frameworks (OpenAI, LangChain, Hugging Face).

Tech Stack

Job Summary

The Architect plays a pivotal role in the entire solution implementation lifecycle, spanning across various phases. Serving as technical leaders, Architects possess a profound grasp of technology and the expertise to leverage it for achieving business objectives. In this role, they take charge of leading solution architecture, contributing to technical design, and ensuring technical governance across the entire solution lifecycle.

Responsibilities

• Customer-facing delivery of Azure/AWS/GCP Cloud Solutions.
• Demonstrate the ability to adapt to new technologies and learn quickly.
• Ability to deliver results through teamwork while achieving individual attainment goals.
• Foster senior-level client relationships and engage with senior-level Covasant and client stakeholders.
• Display strong time, project, and priority management skills.
• Express great communication skills, presentation skills, and written skills.

Qualifications

• 10+ years of technology-related experience on Microsoft Azure / AWS or GCP.
• Experience designing, building, operating, and maintaining internet-scale distributed systems.
• Experience in database migrations and high availability / DR strategies.

Technologies

Job Summary

We are seeking a dynamic and experienced Manager to lead forensic accounting and investigative engagements across multiple industries. This role requires strong analytical capabilities, deep knowledge of forensic practices, and a proven track record of delivering high-quality results under tight deadlines. The ideal candidate will possess excellent leadership, communication, and problem-solving skills.

Key Responsibilities

• Lead and execute financial, operational, and reputational forensic investigations and due diligence engagements.
• Validate and analyse business information using both primary and secondary research.
• Prepare clear, concise, and insightful reports for senior stakeholders and regulatory bodies.
• Design and oversee risk-based audit programs using data analytics and AI.
• Identify and evaluate emerging risks; provide strategic recommendations for mitigation.
• Apply advanced tools such as Tableau, Alteryx, and other modeling/visualization platforms.
• Leverage machine learning and statistical modeling to enhance forensic and audit capabilities.
• Champion integration of digital tools in forensic accounting and continuous monitoring processes.

Skills & Attributes

• Analytical Excellence: Strong ability to interpret complex data sets and present actionable insights.
• Leadership: Proven ability to lead diverse teams in high-pressure environments.
• Communication: Exceptional written and verbal skills; capable of presenting to non-technical stakeholders.
• Technology Proficiency: MS Excel, Tableau, Alteryx, Power BI, advanced Excel functions.
• Ethics & Integrity: High ethical standards, professionalism, and discretion.

Experience Required

• 8+ years of experience in Audit / Finance-based roles.
• Experience with Big 4 firms, Tier 2 firms, or large Corporate Internal Audit teams preferred.
• Experience in Forensic, Statutory audit, Internal audit, and Data analytics.

Tools

Role Summary

We are hiring a Senior Pre-Sales / Solutions Consultant in the UK to lead technical solutioning and deal strategy for an enterprise agentic AI platform. You will partner with sales, product, and engineering to run discovery, craft executive-ready narratives, deliver compelling demos and POVs, and drive technical close. This is a platform-first pre-sales role focused on agent lifecycle orchestration, evaluation, governance, and enterprise integration.

Own the Technical Win Strategy

• Drive end-to-end technical pre-sales execution including solution options, trade-offs, scope, effort sizing, risks, and dependencies.
• Define POV and POC plans with clear acceptance criteria covering data requirements, integration points, governance controls, evaluation metrics, and timeline.
• Build and deliver crisp demo flows that show day-in-the-life agent experiences, human-in-the-loop patterns, and operational readiness.

Enterprise Architecture & Integration

• Create reference architectures integrating agentic workflows with enterprise apps, APIs, workflow systems, and data platforms.
• Align with identity and access, security controls, logging and monitoring, and deployment pipelines.
• Support cloud-aligned solutioning on Google Cloud, Microsoft Azure, and Amazon Web Services.

Proposal Support & Product Feedback

• Produce high-quality artifacts including architecture diagrams, POV plans, technical proposals, SOW inputs, and RFP/RFI responses.
• Create reusable pre-sales assets like solution playbooks, demo scripts, objection handling, and ROI models.
• Provide structured feedback to product leadership based on field signals including feature gaps and competitive insights.

Required Experience

• 12+ years in pre-sales, solutions consulting, or solutions engineering selling enterprise platforms.
• Strong systems thinking across architecture, APIs, integration, security, and operationalization.
• Confident communicator able to influence both executives and hands-on engineering teams.
• Proven ability to structure POVs with measurable success criteria and delivery realism.

Role Summary

We are looking for a highly driven and experienced Recruiter with strong expertise in hiring for AI/ML, Data Science, and Analytics roles. The ideal candidate should have a deep understanding of the talent landscape, strong sourcing capabilities, and the ability to partner with business leaders to deliver niche and high-quality talent.

Key Responsibilities

• Own end-to-end recruitment for AI/ML, Data Science, GenAI, MLOps, and Analytics roles.
• Partner with hiring managers to understand technical requirements and hiring priorities.
• Source top talent through LinkedIn, GitHub, Kaggle, and niche AI/ML communities.
• Screen candidates on technical skills (ML models, NLP, Deep Learning, LLMs, Python), problem-solving ability, and cultural fit.
• Build strong talent pipelines for critical and niche roles.
• Manage offer negotiation and closure.

Required Skills & Experience

• 5–10 years of recruitment experience with minimum 3+ years in AI/ML & Data Science hiring.
• Strong understanding of Machine Learning, Deep Learning, NLP / LLMs / GenAI, and Data Engineering basics.
• Proven experience hiring for Data Scientist, ML Engineer, AI Engineer, and GenAI Specialist roles.
• Expertise in Boolean search, X-ray search, and talent mapping.
• Experience working with global stakeholders (US/UK time zones preferred).

Role Summary

We are looking for an experienced Recruiter with strong expertise in hiring for Global Capability Centres (GCCs). The ideal candidate should have hands-on experience in building and scaling teams for GCCs across domains such as IT, Engineering, Analytics, Finance, and Shared Services.

Key Responsibilities

• Manage end-to-end recruitment for GCC / Captive centres across India.
• Partner with business leaders to understand hiring needs for global capability teams.
• Drive hiring across Technology, Data & Analytics, Finance & Accounting, and Operations / Shared Services.
• Build strong pipelines for mid to senior-level roles.
• Source candidates through LinkedIn, Naukri, referrals, and market mapping.
• Engage with candidates from top GCCs / Captives / MNCs.
• Maintain high-quality candidate experience and quick turnaround time.
• Handle offer negotiation and closures.

Required Skills & Experience

• 5–10 years of recruitment experience with minimum 3+ years in GCC / Captive hiring.
• Strong understanding of GCC ecosystem in India (Bangalore, Hyderabad, Pune, Chennai).
• Proven track record in hiring for MNC Captives / Shared Services and Global In-house Centers (GICs).
• Expertise in sourcing and talent mapping for niche roles.
• Experience working with global stakeholders and time zones.
• Strong communication and stakeholder management skills.