Machine Learning Engineer
- Techversant
- 4 - 8 years
- Kochi
- 2 months ago
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Job Description
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 15 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
Whats 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
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, youll 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: TechversantLocation(s): Kochi
Keyskills: Machine Learning GenAI Aws Sagemaker AWS Deep Learning Python Kubernetes
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