Lead Data Scientist at Tekdi Technologies Pvt. Ltd. · Pune · 6 - 8 years · Profitable · Posted 5 Sep 2025

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision.
This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint.
Key Responsibilities:
Contribute to AI business growth by working on RFPs, proposals, and solutioning activities.
- Lead the team in delivering customer requirements, ensuring quality and timely execution.
Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques.
- Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA.
- Interact directly with customers to understand their business needs and provide AI-driven solutions.
- Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models.
- Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings.
- Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure).
- Collaborate with cross-functional teams to integrate AI into business applications.
- Stay updated with AI/ML research and integrate new techniques into projects.
Required Skills & Qualifications:
- Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision.
- Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
- Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion).
- Experience with data preprocessing, feature engineering, and performance evaluation.
- Exposure to containerization and cloud deployment using Docker, Kubernetes.
- Experience with vector databases and RAG-based architectures.
- Ability to lead teams and projects, and work independently with minimal guidance.
- Experience with customer-facing roles, proposals, and solutioning.
Educational Requirements:
- Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field.
Preferred Skills (Good to Have):
- Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting.
- Familiarity with Graph Neural Networks (GNNs).
- Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms.
- Contributions to open-source AI projects or publications in peer-reviewed journals.

About Tekdi Technologies Pvt. Ltd.
About
Tekdi Technologies is a leading IT Solutions provider focusing on delivering enterprise-class, end-to-end solutions for businesses & individuals in a wide array of verticals. It offers a dynamic portfolio of digital solutions, products, platforms, and services that bring greater choice, faster time to market, and flexibility to its customers. We leverage Open Source Technologies to deliver cutting-edge solutions driven by a combination of robust strategies, passionate teams, and a global culture rooted in innovation and automation. Our experience, coupled with the use of Open Source gives you the advantage of cost-effective, secure, and up-to-date solutions.
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Job Summary
We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and AI solutions that address complex business problems. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Generative AI, LLMs, and AI/ML deployment, with the ability to work across the complete AI/ML lifecycle.
Key Responsibilities
- Design, develop, and deploy scalable Machine Learning and AI models for real-world business use cases.
- Build and optimize ML pipelines covering data preparation, feature engineering, model development, evaluation, and deployment.
- Develop solutions using Generative AI, Large Language Models (LLMs), NLP, and deep learning.
- Work with LLMs, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
- Integrate AI/ML models with enterprise applications and APIs.
- Fine-tune and evaluate ML/LLM models based on business requirements.
- Implement MLOps practices for model versioning, deployment, monitoring, and continuous improvement.
- Collaborate with Data Scientists, Software Engineers, Architects, Product Managers, and business stakeholders.
- Conduct model performance evaluation, optimization, and troubleshooting.
- Ensure AI solutions meet requirements around security, scalability, reliability, responsible AI, and data privacy.
- Stay current with emerging AI/ML technologies, frameworks, and industry best practices.
Required Skills
- Strong programming experience in Python.
- Strong understanding of Machine Learning algorithms, statistics, and data structures.
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent.
- Experience with Generative AI and LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models.
- Strong knowledge of Prompt Engineering, RAG, embeddings, vector databases, and AI agents.
- Experience with NLP, deep learning, or computer vision is an advantage.
- Experience developing and consuming REST APIs and microservices.
- Working knowledge of SQL and NoSQL databases.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Understanding of Docker, Kubernetes, CI/CD, and MLOps.
- Familiarity with Git and modern software development practices.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- 4 years of relevant experience in AI/ML engineering or a related field.
- Experience building and deploying production-grade AI/ML solutions.
- Enterprise application development experience.
- Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or similar managed AI platforms.
- Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks is a plus.
- Experience with AI/ML model monitoring, evaluation, and optimization.
What You Bring
- Strong problem-solving and analytical skills.
- Ability to translate business requirements into practical AI/ML solutions.
- Strong software engineering and debugging capabilities.
- Ability to work independently as well as collaboratively in a cross-functional environment.
- Good communication skills with the ability to explain complex AI concepts to technical and non-technical stakeholders.
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🐍 Python | 🤖 Machine Learning | ☁️ Cloud | 🧠 NLP | 📊 Data Visualization
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