4+ Machine Learning (ML) Jobs in Coimbatore | Machine Learning (ML) Job openings in Coimbatore

Role description:

You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role.

Required skills:

• 4-8 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
• Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
• Should have worked on proprietary and open source large language models
• Experience on LLM fine tuning, creating distilled model from hosted LLMs
• Building data pipelines for model training
• Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation and observability
• Experience in GenAI application deployment on cloud and on-premise at scale for production
• Experience in creating CI/CD pipelines
• Working knowledge on Kubernetes
• Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
• Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
• Experience in light weight UI development using streamlit or chainlit (optional)
• Desired experience on open-source tools for ML development, deployment, observability and integration
• Background on DevOps and MLOps will be a plus
• Experience working on collaborative code versioning tools like GitHub/GitLab
• Team player with good communication and presentation skills

·        Qualification: bachelor’s or master’s degree in computer science, Engineering, or related field.

·        Proven 4+ years of experience in full stack development, including proficiency with React, Tailwind CSS, Python, and Flask.

·        Strong understanding of Graph QL concepts and hands-on experience with Ariadne or similar frameworks.

·        Familiarity with containerization using Docker for application deployment.

·        Demonstrated expertise in machine learning model integration, preferably using the Hugging Face framework.

·        Experience deploying machine learning models on cloud platforms such as Replicate and AWS is a strong plus.

·        Excellent problem-solving skills and a proactive attitude towards learning and adapting to new technologies.

·        Should have experience in Backend: Python, Flask Framework, Langchain ML Ops Framework, Ariadne Graph QL Framework, Docker. Frontend: React, Tailwind. ML Model Development – Hugging Face Model Training, ML Deployment onto Replicate or AWS

FURIOUS FOX is looking for Embedded Developers with strong coding skills in C & C++ as well as experience with Embedded Linux.

Experience : (Minimum 7-10 yrs)

• Experienced in edge processing for connected building / industrial / consumer

appliances / automotive ECU

• Have a good understanding of IoT platforms and architecture

• Deep experience in operating systems eg: Linux, freeRTOS / kernel development/device drivers.

/ sensor drivers

• Have experience with various low-level communication protocols, memory devices, messaging

framework etc.

• Have a deep understanding of design principles, design patterns, container preparations

• Have developed hardware, OS abstraction layers, and sensor handlers services to manage various BSP, os standards

• Have experience with Python edge packages.

• Have a good understanding about IoT databases for edge computing

• Good understanding of connectivity application protocols and connectivity SDK for Wi-Fi and BT / BLE

• Experienced in arm architecture, peripheral devices and hardware board configurations

• Able to set up debuggers, configure build environments, and compilers and optimize code and performance.

Skills / Tools:

• Expert at object-oriented programming

• Modular programming

• C / C++ / JavaScript / Python

• Eclipse framework

• Target deployment techniques

• IoT framework

• Test framework

Highlights :

• Having AI / ML knowledge in applications

• Have worked on wireless protocols

• Ethernet / Wi-Fi / Bluetooth / BLE

• Highly exploratory attitude

• willing to venture in and learn new

technologies.

• Have done passionate projects based on self-interest.