Job Description:Manage the general accounting functions, including, but not limited to: accounts payable, accounts receivable, general ledger, Income tax and GST related mattersMonitoring and analyzing accounting data and produce financial reports or statementsEstablishing and enforcing proper accounting methods, policies and principlesOrganising and maintaining financial records and documentation which may include (but not limited to) filing, report generation, budget preparation etc.Help with financial and statutory compliances audit etc.Running of the payroll process, accurately and timelyResponsible for processing bills and payments, taxation at source and other Income Tax and GST related mattersCoordination, preparation and submission of returns and taking care of all compliances, as necessary Minimum Qualifications and Experience:MCom/Bcom/ BBA/BS (with specialization in Accountancy/Finance)/CA inter or equivalent degree, with a minimum of 4-6 years of proven experience. Required Expertise:Advanced computer skills on MS Office, accounting software and databases (eg Tally)Proven knowledge of book-keeping and accounting principles, practices, standards, laws and regulationsShould have knowledge of Government rules in Financial procedures/ Accounting / Auditing and Administrative mattersHigh attention to detail and accuracyAbility to direct, coordinate and superviseExperience in tendering, audits, taxation, financial compliances

Key Responsibilities: Development and training of foundational models across modalities End to end lifecycle management of foundational model development from data curation to model deployment by collaborating with the core team members Conduct research to advance model accuracy and efficiency. Implement state-of-the-art AI techniques in Text/Speech and language processing. Collaborate with cross-functional teams to build robust AI stacks and integrate them seamlessly into production pipelines. Develop pipelines for debugging, CI/CD and observability of the development process. Demonstrated ability to lead projects and provide innovative solutions. Should document technical processes, model architectures, and experimental results., maintain clear and organized code repositories. Education: Bachelor’s or Master’s in any related field with 2 to 5 years of experience in industry in applied AI/ML. Minimum Requirements: Proficiency in Python programming and familiarity with 3-4 from the list of tools specified below: Foundational model libraries and frameworks (TensorFlow, PyTorch, HF Transformers, NeMo, etc) Experience with distributed training (SLURM, Ray, Pytorch DDP, Deepspeed, NCCL, etc) Inference servers (vLLM) Version control systems and observability (Git, DVC, MLFlow, W&B, KubeFlow) Data analysis and curation tools (Dask, Milvus, Apache Spark, Numpy) Text-to-Speech tools (Whisper, Voicebox, VALL-E (X), HuBERT/Unitspeech) LLMOPs Tools, Dockers etc Hands on experience with AI application libraries and frameworks (DSPy, Langgraph, langchain, llamaindex etc.) Show more Show less

Job Description: Revenue Ownership: Generate revenue through sales of innovation-led services, emerging technology offerings (AI, IoT, Quantum Sending). Lead Nurturing & Conversion: Own the full sales funnel from lead qualification to deal closure, using a structured, consultative approach. Client Engagement: Build and sustain strong relationships with enterprise clients, R&D leaders and innovation heads. Team Mentorship: Lead, guide and develop a small team of sales professionals, setting clear KPIs and supporting their growth. Internal Collaboration: Work closely with internal teams like technology, finance, legal and procurement to ensure smooth fulfilment of client engagements. Qualifications and Skills: Bachelor’s degree in Engineering (B.E./B.Tech) and MBA from reputed institutes. Minimum 10 years of B2B sales experience in engineered products or technology. Knowledge of sales lifecycle management, funnel analysis, and revenue forecasting. Good interpersonal, communication, and negotiation skills. Show more Show less

Job Summary: The Director of Machine Learning will lead a team of 20-40 engineers, including both senior and junior talent, to build and scale foundational models that define the next generation of AI applications in India. This role combines deep technical expertise with strategic leadership, requiring someone who can navigate the evolving landscape of AI research while delivering production-ready solutions at scale. Key Responsibilities: 1.Strategic Leadership and Vision Develop and execute comprehensive ML/AI strategies aligned with BharatGen's mission. Define the technical roadmap for foundational model development across text, speech, and vision modalities. Set clear goals for the engineering organization and ensure alignment with broader company objectives. Collaborate with the CTO and executive team to shape product strategy and business priorities. 2.Team Management and Development Lead and mentor a diverse team of 20-40 ML engineers, data scientists, and researchers across all experience levels. Build high-performing teams through strategic hiring, talent development, and performance management. Foster a culture of innovation, technical excellence, and continuous learning within the organization. Develop career progression pathways for both senior and junior engineers, ensuring knowledge transfer and skill development. 3.Technical Excellence and Innovation Oversee the entire machine learning lifecycle from research to production deployment for foundational models. Incorporate cutting-edge research and emerging trends in AI, particularly in foundation models and multimodal AI systems. Ensure engineering excellence through robust MLOps practices, scalable infrastructure, and production-quality code. Drive innovation in model architecture, training methodologies, and deployment strategies specific to diverse language and cultural contexts. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 4.Research Integration and Industry Trends Stay current with the latest developments in foundation models. Lead initiatives to incorporate multimodal AI capabilities. Evaluate and integrate emerging AI trends, including the shift toward AI-first applications and agentic solutions. Support partnerships with academic institutions and research organizations to maintain technical leadership. 5.Scaling and Operations Build and scale ML platforms and infrastructure to support foundational model development and deployment. Implement best practices for model training, evaluation, and monitoring at enterprise scale. Oversee the development of robust APIs and microservices for seamless integration of ML models into production environments. Ensure efficient resource utilization and cost optimization for large-scale model training and inference. 6.Cross-Functional Collaboration Work closely with product teams to translate business requirements into technical specifications. Collaborate with engineering teams on infrastructure, architecture, and scalability decisions Partner with business stakeholders to ensure ML solutions deliver measurable value and align with market needs. Communicate complex technical concepts to non-technical stakeholders across the organization. Minimum Qualifications and Experience: 1.Education and Experience: Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Artificial Intelligence, or related field. 8+ years of hands-on experience in machine learning and AI, with significant experience in foundational models or large-scale ML systems. 5+ years of leadership experience managing teams of engineers, with a proven track record of scaling technical organizations. Experience in both research and production environments, with understanding of how to bridge academic research and applications. 2.Technical Expertise: Deep expertise in foundational model architectures, training methodologies, and deployment strategies. Strong background in natural language processing, computer vision, and speech processing technologies. Experience with multimodal AI systems and cross-modal learning approaches. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 3.Leadership and Soft Skills: Exceptional leadership and team management capabilities, with experience developing both senior and junior talent. Strong strategic thinking and problem-solving abilities, with a track record of delivering complex technical projects. Excellent communication skills, capable of presenting to both technical teams and executive leadership. Experience with hiring, performance management, and organizational development in fast-growing companies. 4. Preferred Qualifications: Background in developing AI solutions for multilingual or multicultural contexts. Track record of publications in top-tier ML conferences or journals. Experience in startup or high-growth technology environments. Location of work: TIH-IoT, IIT Bombay Campus, Powai, Mumbai 400076. Show more Show less

Job Description: Responsible for planning, executing and closing software development projects Collaborate with customer and internal technical teams to define project scope, create schedules, resource allocation, highlight risks and propose mitigation approaches, and monitor progress Communicate with all stakeholders of a project including client, internal technical team and management Ensure software quality standards are met by verifying that the software development processes are followed Manage change requests, assess their impact, and coordinate necessary adjustments to the project scope, schedule, and resources Tracking milestones and deliverables from every contributor including client-side and technical team Minimum Qualifications and Experience: Bachelor's degree in IT / Computer Science with 5-7 years of total experience of which experience of 3-5 years as a project manager preferably in a large IT Service company or a software product company Required Expertise: Strong understanding of agile method of software development Experience as a scrum master will be preferred Proficiency in Github or other such software to track software development activities Good knowledge of software project effort estimation Show more Show less

Job Summary: The VP - Machine Learning will lead a team of 20-40 engineers, including both senior and junior talent, to build and scale foundational models that define the next generation of AI applications in India. This role combines deep technical expertise with strategic leadership, requiring someone who can navigate the evolving landscape of AI research while delivering production-ready solutions at scale. Key Responsibilities: 1.Strategic Leadership and Vision Develop and execute comprehensive ML/AI strategies aligned with BharatGen's mission. Define the technical roadmap for foundational model development across text, speech, and vision modalities. Set clear goals for the engineering organization and ensure alignment with broader company objectives. Collaborate with the CTO and executive team to shape product strategy and business priorities. 2.Team Management and Development Lead and mentor a diverse team of 20-40 ML engineers, data scientists, and researchers across all experience levels. Build high-performing teams through strategic hiring, talent development, and performance management. Foster a culture of innovation, technical excellence, and continuous learning within the organization. Develop career progression pathways for both senior and junior engineers, ensuring knowledge transfer and skill development. 3.Technical Excellence and Innovation Oversee the entire machine learning lifecycle from research to production deployment for foundational models. Incorporate cutting-edge research and emerging trends in AI, particularly in foundation models and multimodal AI systems. Ensure engineering excellence through robust MLOps practices, scalable infrastructure, and production-quality code. Drive innovation in model architecture, training methodologies, and deployment strategies specific to diverse language and cultural contexts. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 4.Research Integration and Industry Trends Stay current with the latest developments in foundation models. Lead initiatives to incorporate multimodal AI capabilities. Evaluate and integrate emerging AI trends, including the shift toward AI-first applications and agentic solutions. Support partnerships with academic institutions and research organizations to maintain technical leadership. 5.Scaling and Operations Build and scale ML platforms and infrastructure to support foundational model development and deployment. Implement best practices for model training, evaluation, and monitoring at enterprise scale. Oversee the development of robust APIs and microservices for seamless integration of ML models into production environments. Ensure efficient resource utilization and cost optimization for large-scale model training and inference. 6.Cross-Functional Collaboration Work closely with product teams to translate business requirements into technical specifications. Collaborate with engineering teams on infrastructure, architecture, and scalability decisions Partner with business stakeholders to ensure ML solutions deliver measurable value and align with market needs. Communicate complex technical concepts to non-technical stakeholders across the organization. Minimum Qualifications and Experience: 1.Education and Experience: Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Artificial Intelligence, or related field. 8+ years of hands-on experience in machine learning and AI, with significant experience in foundational models or large-scale ML systems. 5+ years of leadership experience managing teams of engineers, with a proven track record of scaling technical organizations. Experience in both research and production environments, with understanding of how to bridge academic research and applications. 2.Technical Expertise: Deep expertise in foundational model architectures, training methodologies, and deployment strategies. Strong background in natural language processing, computer vision, and speech processing technologies. Experience with multimodal AI systems and cross-modal learning approaches. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 3.Leadership and Soft Skills: Exceptional leadership and team management capabilities, with experience developing both senior and junior talent. Strong strategic thinking and problem-solving abilities, with a track record of delivering complex technical projects. Excellent communication skills, capable of presenting to both technical teams and executive leadership. Experience with hiring, performance management, and organizational development in fast-growing companies. 4. Preferred Qualifications: Background in developing AI solutions for multilingual or multicultural contexts. Track record of publications in top-tier ML conferences or journals. Experience in startup or high-growth technology environments. Location of work: TIH-IoT, IIT Bombay Campus, Powai, Mumbai 400076. Show more Show less

Job Summary : We are looking for Linguistics experts with team management experience, extensive experience working on NLP projects and proficiency in 2 or more languages from any one of the following language groups: Bengali, Oriya, Assamese, Bodo, Manipuri Kannada, Malayalam, Tamil, Telugu Hindi, Maithili, Urdu, Dogri, Kashmiri, Punjabi, Gujarati The Language Resource Manager will have two-fold responsibility: Support development and improvement of our LLM, ASR, and TTS models by providing linguistic expertise Manage the work of freelancing language resources for the assigned group of languages. Key Responsibilities : Linguistic support -Collaborate with machine learning engineers to understand data requirements and to identify opportunities to integrate linguistic knowledge into model development -Create guidelines for data annotation/validation projects based on data requirements -Evaluate the linguistic quality of model outputs and provide feedback for improvement Management -Collaborate with data sourcing team to understand data processing timelines and operational constraints -Set up operational pipelines for processing sourced data and delivering processed data to model development team -Source freelancing resources for various tasks for languages from the assigned language group, assign them data annotation task and track and manage their work Education Qualifications & Experience : Master's or PhD in Linguistics or Computational Linguistics. At least 3 years of experience working on NLP projects, providing language data annotation for Machine Learning or GenAI projects. Experience creating guidelines to be followed by language resources preferred. Project co-ordination experience with 2+ years of team/project management experience preferred. Experience working with low resource languages is a plus. Technical Skills: Linguistic Analysis: Strong understanding of linguistic principles and the ability to analyze linguistic data. Problem-Solving: Ability to identify and solve linguistic challenges related to language technology. Collaboration: Excellent communication and collaboration skills to work effectively with machine learning engineers and other team members. Management: Ability to set up processes and pipelines, track and manage work of language resources

Job Summary: TIH, IIT Bombay is seeking a detail-oriented and proactive Management Trainee - Business Development to support the team in preparing compelling business proposals and presentations. This role is ideal for individuals with strong research, analytical, and communication skills who are eager to gain hands-on experience in business development and sales strategy. You will play an active role in market outreach, proposal development, client engagement, and sales strategy execution. Key Responsibilities: Support end-to-end development of business proposals, pitch decks, and partnership documents. Conduct market and industry research to identify new opportunities. Prepare and design client presentations that are persuasive, data-backed, and visually impactful. Engage with prospective clients and partners through email, phone, and meetings to nurture leads. Collaborate with technical teams to align proposals with client requirements and TIH’s capabilities. Track and maintain a database of leads, proposals, and engagement progress. Contribute to the creation and upkeep of a centralized repository of sales assets, templates, and case studies. Assist in planning and executing outreach campaigns for target sectors. Education Qualifications: MBA or master’s degree (recent graduate or final-year student) in Business, Marketing, or related fields. Required Expertise: Excellent written and verbal communication skills. Strong proficiency in MS Office Suite (especially PowerPoint and Excel); familiarity with CRM tools is a plus. Strong analytical and research skills to support data-driven proposals. Proactive, well-organized, and capable of managing multiple tasks and deadlines. Interest or exposure to emerging technologies such as AI/ML, IoT, and Generative AI is highly desirable. Benefits: A hands-on role in a high-impact, fast-paced business development environment. Mentorship from experienced professionals in innovation and entrepreneurship. Exposure to strategic sales cycles, proposal writing, and client engagement in the tech innovation ecosystem. Opportunity for long-term career progression within TIH based on performance.

Job Description: Develop and maintain Python-based backend services. Build and integrate RESTful APIs for web and mobile applications. Collaborate with product managers, frontend developers, and DevOps teams. Write clean, modular, and scalable code following best practices. Assist in architectural discussions and technical decision-making. Ensure performance, security, and reliability of backend components. Troubleshoot and debug issues in development and production environments. Minimum Qualifications and Experience: Bachelor’s degree in Computer Science, Engineering, or a related field. 1–2 years of hands-on experience in Python development in a professional setting. Required Expertise: Proficient in Python and familiar with frameworks such as Flask, Django, or FastAPI. Experience building and consuming RESTful APIs. Working knowledge of relational databases (e.g., MySQL, PostgreSQL) and/or NoSQL databases (e.g., MongoDB). Develop, test, and maintain scalable Python applications. Write clean, reusable, and efficient code following best practices. Debug and resolve production issues, ensuring performance and responsiveness. Understanding of CI/CD tools and basic DevOps practices. Exposure to cloud platforms (e.g., AWS, Azure, GCP) is a plus. Knowledge of containerization using Docker is a plus. Basic front-end knowledge (HTML, CSS, JavaScript) is a bonus. Familiarity with agile development methodologies. Experience with version control systems such as Git. Solid understanding of object-oriented programming and software design principles.

Job Description: Design Digital Creatives - Create compelling social media assets, infographics, videos, and template-based designs for various platforms. Develop Brand Collaterals - Design pitch decks, case studies, emailers, web pages, newsletters, and other marketing materials aligned with the brand identity. Website Maintenance - Regularly update and manage the company website using CMS platforms (e.g., WordPress), ensuring content and design accuracy. Cross-functional Design Support - Fulfil internal design requests from different teams while maintaining consistency with brand guidelines. - Manage and incorporate feedback from multiple stakeholders efficiently. Event Branding - Create visual branding and display material for participation in key industry forums and IIT Bombay-hosted events. Agency Collaboration - Coordinate with marketing/design agencies to ensure brand consistency across digital campaigns and visual storytelling. Minimum Qualifications and Experience: Bachelor's or Master's with 3-4 years of hands-on experience in Graphic Designer in a professional setting. Required Expertise: High proficiency in: - Adobe Creative Suite: Photoshop, Illustrator, After Effects, Premiere Pro or Final Cut Pro - Content Platforms: WordPress, Canva, or similar CMS/design tools Strong understanding of branding, typography, layout, and responsive design Ability to manage multiple projects simultaneously and meet deadlines Good communication and collaboration skills Experience with animation/motion graphics Exposure to UX/UI principles or web design

Job Description: Revenue Ownership: Generate revenue through sales of innovation-led services, emerging technology offerings (AI, IoT, Quantum Sending). Lead Nurturing & Conversion: Own the full sales funnel from lead qualification to deal closure, using a structured, consultative approach. Client Engagement: Build and sustain strong relationships with enterprise clients, R&D leaders and innovation heads. Team Mentorship: Lead, guide and develop a small team of sales professionals, setting clear KPIs and supporting their growth. Internal Collaboration: Work closely with internal teams like technology, finance, legal and procurement to ensure smooth fulfilment of client engagements. Qualifications and Skills: Bachelor’s degree in Engineering (B.E./B.Tech) and MBA from reputed institutes. Minimum 10 years of B2B sales experience in engineered products or technology. Knowledge of sales lifecycle management, funnel analysis, and revenue forecasting. Good interpersonal, communication, and negotiation skills.