Senior AI/ML Engineer

About Techversant:

Techversant is a Global Technology Services and Solutions Company providing high-quality end-to-end IT Solutions and Services to its clients across the globe for more than 16 years.Techversant has been providing Technology services in the key areas of Digital Transformation, Understanding the Evolving Industrial Scenarios, Investment Priorities and Technology Disruption.

We offer expertise and consultation in multiple technology domains like – ColdFusion, Python, Java, .NET, NodeJS, Ruby on Rails, Golang, PHP, Angular, ReactJS, VueJS, IOS, Android, Flutter, ReactNative, Artificial Intelligence, Data Science, Blockchain, Business Intelligence etc

What’s important to us:

We are seeking experienced AI/ML Engineers who will be responsible for developing and driving new business opportunities internationally. The incumbent will be responsible for discovering sales opportunities and creating qualified leads.

Job Description

● Develop ML and Deep Learning Solutions
Create predictive, classification, and optimization models using supervised, unsupervised, and reinforcement learning.
● Design and Implement Generative AI Systems
Build and fine-tune Large Language Models (LLMs) and diffusion models for a range of use cases involving text, code, and multi-modal data.
● Build Scalable Recommendation Engines
Develop and optimize recommendation systems using collaborative filtering, content-based filtering, hybrid models, or sequential models.
● Cloud-Native ML Engineering
Deploy and manage machine learning pipelines and APIs in cloud environments (AWS, GCP, Azure),ensuring scalability, observability, and cost efficiency.
● End-to-End ML Lifecycle Ownership
Own the model lifecycle from feature engineering and experimentation to deployment, CI/CD, monitoring, and iteration.
● Collaborate Across Functions
Work with cross-functional teams including product managers, engineers, and data scientists to translate business goals into AI-powered solutions.

Core Requirements

● Minimum 4 years of experience in building and deploying production-level ML/DL systems
● Develop proofs of concept AI/ML-based solutions and services and demonstrate them to Business stakeholders
● Design and deliver ML architecture patterns operable in native and hybrid cloud architectures.
● Create Functional and technical specifications for AI/ML solutions.
● Implement machine learning algorithms in services and pipelines that can be used on a web scale.
● Design, develop, and implement Generative AI models using state-of-the-art techniques.
● Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
● Strong understanding of transformer architectures and deep learning model design
● Hands-on experience in building at least one production-grade Deep learning solution or Generative AI solution
● Expertise in Python programming with a focus on:
○ Code optimization and profiling
○ Multi-threading and multiprocessing
○ Object-oriented programming and design principles
● Experience deploying models in a cloud-native environment with strong MLOps practices
● Understanding of model evaluation, observability, A/B testing, and feedback loops
● Excellent problem-solving and analytical skills.
● Strong communication and presentation skills.

Technical Stack

● Languages: Excellent understanding of object-oriented concepts and Python.
● ML/DL Frameworks:
○ Machine Learning: Scikit-learn, XGBoost, LightGBM
○ Deep Learning: PyTorch, TensorFlow, Keras
○ GenAI: Hugging Face Transformers, LangChain, OpenAI APIs, Gemini, Agentic Framework
● Cloud & MLOps: AWS SageMaker, GCP Vertex AI, Azure ML, MLflow, Kubeflow, Docker, Kubernetes
● Data & Compute: Apache Spark, BigQuery, RabbitMQ, S3, EC2
● Embedding Stores & Vector Search: FAISS, Pinecone, ChromaDB
● Orchestration & APIs: Apache Airflow, Docker Deployment, and FastAPI are a must