AI/ML Engineer

AI/ML Engineer About Techversant:

Techversant is a global technology services and solution’s company providing high-quality end-to-end IT Solutions and Services to its clients across the globe for more than 17 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 offers expertize and consultation in multiple technology domains like – ColdFusion, Python, Java, .NET, Node JS, Ruby on Rails, Golang, PHP, Artificial intelligence, Blockchain, IOS, Android, Flutter, React Native, Angular, React Vue,etc catering to various industry verticals globally.

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.

Key Responsibilities: 

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 3 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

Preferred Qualifications

Experience with multi-modal models combining text, vision, or audio

Familiarity with Retrieval-Augmented Generation (RAG), embedding stores, and agent-based orchestration (LangGraph, ReAct)

Open-source contributions in AI/ML or GenAI ecosystems

Certifications in cloud-based machine learning platforms (AWS/GCP/Azure)

Education

B.Tech / M.Tech / Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field

Equivalent practical experience in developing scalable AI solutions will also be considered

What Company Offers:

Excellent career growth opportunities and exposure to multiple technologies. Fixed weekday day schedule, meaning, you’ll have your weekends off! Family Medical Insurance. Unique leave benefits and encashment options based on performance. Long term growth opportunities. Fun family environment surrounded by experienced developers. Various internal employee rewards programs based on Performance. Opportunities for various other Bonus programs – for training hours taken, certifications, special value to business through idea and innovation. Work life Balance – flexible work timings, early out Fridays, various social and cultural activities etc. Company Sponsored International Tours

                                    If this opportunity aligns with your career goals, kindly share your updated resume with us at careers@techversantinfotech.com