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Senior AI / ML Engineer

Senior AI / ML Engineer

Techversant

4 - 9 years

11 - 15 Lacs

Kochi Chennai Thiruvananthapuram

Posted:2 days ago| Platform:

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Skills Required

Computer science deep learning orchestration GCP Artificial Intelligence Machine learning Open source Apache Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

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

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.

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