Senior Machine Learning Engineer

We are looking for a Senior ML Engineer to drive the development and deployment of scalable machine learning this role you will design train and optimize advanced models build robust data pipelines and collaborate with engineering and product teams to integrate AI capabilities into our systems. As a senior member of the team you will establish best practices mentor junior engineers and lead initiatives that enhance automation model reliability and overall performance to deliver impactful data-driven solutions. 

Responsibilities: 

• Study analyze and transform business requirements into data science prototypes. 
• Design and implement machine learning systems using traditional ML algorithms (e.g. tree-based models clustering) recommendation systems and transformer based architectures. 
• Build fine-tune and deploy Large Language Models (LLMs) including local open-source LLMs (e.g. LLaMA Mistral Qwen) and API-based models. 
• Develop Generative AI applications including Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g. FAISS ChromaDB Milvus). 
• Run machine learning tests and experiments. 
• Train and retrain algorithms when necessary. 
• Extend existing ML libraries and frameworks. 
• Keep abreast of developments in the field. 

Qualifications :

• Years of Experience: Minimum 5 years of professional experience in software development specializing in ML. 
• Education: Bachelors or Masters degree in Computer Science Data Science or a related field. 

Requirements:  

• Proven experience as a Machine Learning Engineer or similar role 
• Understanding of data structures data modeling and software architecture 
• Ability to write robust code in Python. 
• Hands-on experience with transformers and Hugging Face ecosystem. 
• Hands-on experience with Agentic frameworks like LangChain/LangGraph. 
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) 

Additional Information :

• Employment Type: Full-time  
• Weekend: 2 Days 
• Work Model: Hybrid  

Compensation and Benefits: 

Join a Workplace That Values You 

At Nifty Coders Pvt. Ltd. we celebrate innovation collaboration and the unique contributions each of our employees brings. We prioritize a work environment that encourages growth well-being and a healthy work-life balance. Here youll be part of a team that values creativity promotes flexibility and empowers individuals to thrive.  

As part of our commitment to supporting you we offer a range of benefits and perks designed to enhance your work experience: 

• Competitive compensation plans 
• Two annual bonuses 
• Paid Maternity Leave (4 months) and Paternity Leave (5 working days) 
• Comprehensive medical insurance for you and your dependents 
• Monthly and quarterly team-building events 
• Transport allowance 
• Mobile allowance 
• Corporate home internet support 
• Subsidized daily lunch 
• A dynamic performance review process that fosters ongoing transparency between managers and team members 
• Company-sponsored certifications programs for internal career growth and development 

At Nifty Coders we foster a culture of collaboration continuous learning and innovation ensuring that every employee has the opportunity to grow and succeed.  

Application Deadline: August 31 2026

Remote Work :

No

Employment Type :

Full-time