15h Left) AI/ML Lead

Job Description

Experience Range 6 8 years for Tech Lead.

9 - 12 Yrs evaluated for Associate Architect.

Work Profile Bhashini 2.0 is India&aposs ambitious initiative to transform its language technology landscape into a self-sustaining, intelligent AI ecosystem. Moving beyond public utility, Bhashini 2.0 will evolve into a comprehensive SaaS marketplace, empowering users with custom language solutions, fostering seamless partnerships, and building a vibrant community, all while bridging the digital divide across diverse Indian languages and dialects. This includes advanced AI models (NMT, ASR, TTS, OCR), a dynamic API marketplace, robust stakeholder engagement, an innovative 'Hundi' orchestration engine, next-gen mobile app catering to rural users also, and a sophisticated data management framework.

Work Location /Address Location: Bangalore Address:

Client location is EkStep (Koramangala)

It is 5days WFO(3days from Tarento office and 2days from client office)

Key Skills Hashtags

Technology Lead, Technical Lead, Associate Architect, Technical Architecture, AI/ML, AI Models (Layout Detection, OCR, Translation) NLP, etc

Key Attitude / Traits Brings in core values such as;

- Strategic Mindset: Bring in the Big picture (Why are we doing what we are doing)
- Start-Up Mindset: Bring in Passion & Energy into the work, with full heart. Do not treat this as a 9 to 5 job. Be outcome/result oriented than activity/effort oriented. A fail-fast approach to achieve progress than be slowed down by perfection.
- Ownership Mindset: To take end to end Responsibility and Accountability of deliverables. Have no-excuse mindset towards commitments, in spite of constraints and dependencies. Let no personal or team boundaries come in the way of delivering.
- Growth Mindset: Be open to challenges and learning. Demonstrate resilience in tough times.

Skills- Hard Must Have:

- Ability to Architect and Design AI/ML systems in NLP domain
- Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
- Experience with LLMs, NLP, CV, or time-series modeling.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines (MLflow, Kubeflow, etc.).
- Strong understanding of data structures, algorithms, and system design.
- Excellent communication and stakeholder management skills.
- Ability to Inspire, Assist and Govern Technical teams to deliver to commitments

Good To Have:

- Experience deploying models in production environments using REST APIs, containers, or streaming platforms.
- Knowledge of data privacy, model fairness, and explainability techniques.
- Contributions to open-source AI/ML projects or publications in AI conferences.

Skills Soft Must Have:

- Excellent Interpersonal skills
- Excellent Communication Skills
- Good Analytical skill
- Problem Solving Skill

Good To Have:

- Decision Making Skill

Nice to Have: 1. CxO interaction skills

Knowledge /

Certifications Must Have

- Technical Architecture

Good to Have

- TOGAF Certification

Roles & Responsibilities

The AI Lead will be a hands-on technical leader responsible for guiding a team of engineers in the design, development, and delivery of specific, critical components of Bhashini 2.0 (e.g., 20+ services like ASR, TTS, OCR, etc and the Products using them, covering 22+ Indian Official languages across hundreds of dialects). You will ensure technical excellence, code quality, and adherence to architectural guidelines within the AI domain, while actively contributing to code development and mentoring team members.

- Lead the end-to-end lifecycle of AI projects: from research and prototyping to deployment and monitoring.
- Design and build scalable machine learning and deep learning models using modern frameworks.
- Architect AI systems integrating cloud services, APIs, and MLOps practices.
- Collaborate with data engineers, product managers, and domain experts to translate business needs into technical solutions.
- Mentor and guide junior AI/ML engineers and researchers.
- Ensure AI models are interpretable, ethical, and robust in production.
- Conduct code reviews, performance optimizations, and contribute to a high-quality development culture.
- Stay updated with the latest advancements in AI research, tools, and practices.

Experiences Must Have:

- 5+ years of experience in AI/ML development, with at least 2 years in a technical leadership or AI team lead role.
- Strong proficiency in Python and familiarity with major AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Experience in building and deploying machine learning or deep learning models in production environments.
- Proficient in designing end-to-end ML pipelines including data preprocessing, model training, evaluation, and monitoring.
- Hands-on experience with REST APIs and integrating ML models into production-grade applications.
- Solid understanding of AI system architecture, including data engineering, MLOps, and cloud deployment (AWS/GCP/Azure).
- Exposure to Large Language Models (LLMs), NLP techniques, or Computer Vision pipelines.
- Working knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker for model lifecycle management.
- Strong coding, debugging, and optimization skills along with a solid grasp of software design principles and system architecture.
- Excellent communication and mentoring skills, with a proven ability to lead technical teams and collaborate cross-functionally.

Good To Have:

- Experience with Kubernetes, Docker, and CI/CD pipelines for ML workloads.
- Familiarity with ethical AI practices, including model fairness, explainability, and data privacy.
- Knowledge of time-series analysis or reinforcement learning techniques.
- Prior experience working in agile development environments (Scrum, Kanban).
- Contributions to research publications, patents, or open-source AI/ML projects.
- Exposure to prompt engineering or fine-tuning of foundation models (e.g., GPT, BERT, LLaMA).

Why Join Us

- Be part of a nation-building mission to digitally empower every Indian.
- Work on cutting-edge AI technologies applied to societal transformation.
- Collaborate with the best minds across academia, startups, and government.
- Influence policy, architecture, and impact on population scale.

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