About Tarento
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.
We're proud to be recognized as a
Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you'll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.
Key Responsibilities
- Develop and execute the organization's overall AI strategy and roadmap, aligned with business objectives.
- Build, deploy, and optimize advanced AI/ML models and Generative AI applications (including LLMs, RAG systems, and NLP solutions).
- Establish scalable LLMOps and AI architectures, ensuring robust, secure, and compliant integrations with enterprise systems.
- Lead and mentor a high-performing team of AI Engineers, Data Scientists, and Analysts.
- Drive continuous innovation by exploring emerging technologies such as LLMs, multimodal models, and intelligent automation.
- Experienced in Teams frameworks like Bot framework, Teams AI library, Copilot studio, etc
- Implement best practices for AI lifecycle management, including model monitoring, retraining, and governance.
- Ensure AI ethics, data privacy, and responsible AI adoption in all model deployments.
- Collaborate with cross-functional teams (Technology, Product, Risk, Operations) to embed AI across business workflows and decision-making.
- Partner with senior leadership to quantify business value generated through AI-led initiatives.
- Contribute to a culture of experimentation and data-driven innovation across the organization.
Desired Skills & Experience
- Hands-on expertise in Python, SQL, PyTorch, TensorFlow, and modern ML libraries (Hugging Face, LangChain, etc.).
- Proven experience in Generative AI, LLMOps, NLP, Computer Vision, and production-grade AI deployments.
- Strong understanding of retrieval-augmented generation (RAG), embeddings, and prompt engineering.
- Demonstrated success in designing and deploying data/AI solutions with measurable business impact.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (Docker, Kubernetes, CI/CD).
- Excellent leadership, stakeholder management, and communication skills.
- Experience in financial services or enterprise-scale AI implementations preferred.
- Education: Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Experience: 5–10 years of progressive experience in AI/ML engineering, including 2+ years leading teams.
