Generative AI Engineer

1 day ago

Pune, Maharashtra, India EncureIT Full time ₹ 12,00,000 - ₹ 25,00,000 per year

Position : Senior AI/ML Engineer

Location : Pune, Maharashtra

Experience : 3 to 6 years

Employment : Full-time

Role Overview :

We are seeking a Senior AI/ML Engineer to lead the design, development, and deployment of advanced AI solutions across Generative AI, Deep Learning, and traditional ML. This role requires not only strong technical expertise but also leadership in mentoring junior engineers, coordinating with cross-functional teams, and directly engaging with clients to understand problems and deliver impactful solutions.

You will take ownership of end-to-end AI/ML initiatives from business problem definition and data strategy to production deployment and ongoing optimization while ensuring scalability, robustness, and innovation in AI-driven products.

Key Responsibilities :

Leadership & Client Communication:

- Act as the technical lead for AI/ML projects, ensuring timely and high-quality delivery.

- Communicate directly with clients to gather requirements, present solutions, and provide technical insights.

- Lead technical discussions, demos, and presentations with clients and stakeholders.

- Coordinate and mentor junior AI/ML engineers, providing guidance on project tasks and technical challenges.

End-to-End AI/ML Lifecycle:

- Drive problem scoping, data collection, model development, deployment, monitoring, and continuous iteration.

- Translate complex business requirements into scalable ML/AI solutions.

Model Development (Generative Traditional):

- Build, fine-tune, and optimize transformer-based LLMs (GPT, BERT, LLaMA), GANs, diffusion models, and multimodal AI systems.

- Develop and improve ML/DL models for computer vision (CNNs, R-CNN, YOLO, etc.), NLP, and recommendation systems.

Data Engineering & Pipelines:

- Architect robust data pipelines (ETL/ELT), data labeling, preprocessing, and augmentation frameworks.

- Ensure versioning, reproducibility, and data governance practices.

MLOps & Deployment:

- Lead model containerization (Docker), microservice/API deployment, and CI/CD pipeline setup for ML.

- Implement monitoring, drift detection, scaling, and performance tracking for deployed models.

Troubleshooting & Optimization:

- Solve advanced AI challenges : hallucinations, overfitting, bias, imbalance, latency, and model interpretability.

- Optimize models for accuracy, efficiency, and cost.

Innovation & Research:

- Stay at the forefront of GenAI, RAG frameworks, LangChain, and emerging ML research.

- Prototype and evaluate new architectures, libraries, and deployment approaches.

Collaboration & Documentation:

- Partner with product managers, DevOps, backend engineers, and clients to deliver integrated AI solutions.

- Document experiments, frameworks, and deployment architectures for team adoption and client transparency.

Required Skills :

- Bachelors/Masters in Computer Science, AI, Data Science, or related field.

- 4 to 6 years of proven experience in ML/AI roles, with at least 2 years in leading/mentoring roles.

- Proficient in Python, ML/DL frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn).

- Expertise in LLM fine-tuning, generative models, and traditional ML.

- Strong grasp of AI/ML project lifecycle, MLOps, and cloud deployment (AWS/GCP/Azure).

- Skilled in data workflows, feature engineering, dataset versioning, and reproducibility.

- Hands-on experience with Docker, REST APIs, Git, and CI/CD pipelines.

- Excellent problem-solving, analytical, and debugging abilities.

- Strong communication skills with ability to manage client expectations.

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