Senior Machine Learning Engineer

Company Description

We are Nifty Coders Pvt. Ltd., a leading provider of Enterprise-Grade Software Engineering Services for startups and corporates. As experts in DevOps & Infrastructure, Application Development, and Service Reliability Engineering (SRE), we deliver innovative, reliable, and scalable solutions that drive business success and digital transformation.

Our commitment to excellence and industry best practices enables us to build high-quality, secure, and tailored software solutions that empower businesses to thrive. With a proven track record of successfully executing complex cloud migration and deployment automation projects, we are dedicated to helping our clients navigate the ever-evolving digital landscape, fostering long-term partnerships and growth.

Job Description

We are looking for a Senior ML Engineer to drive the development and deployment of scalable machine learning solutions. In 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: Bachelor’s or Master’s 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, you’ll 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