ML Engineer

ML Engineer

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

LLM, Python

Skit.ai (One of Uplers' Clients) is Looking for:

ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

About us

Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. Skit.ais Collection Orchestration Platform, the world’s first solution, streamlines collection conversations by syncing channels and accounts. Skit.ai’s Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. Skit.ai has received several awards and recognitions, including the BIG AI Excellence Award 2024, Stevie Gold Winner 2023 for Most Innovative Company by The International Business Awards, and Disruptive Technology of the Year 2022 by CCW. Skit.ai is headquartered in New York City, NY. Visit https://skit.ai/

Job Title: Machine Learning Engineer

Location: Bangalore (100% onsite)

Areas of Technical Work:

• LLM-based Agentic Systems for autonomous workflow execution
• Evaluation, Monitoring, Observability, and MLOps for production-grade AI
• LLM-driven Multilingual Language Understanding and Dialogue Management
• Decision Modeling and Optimization for agent interactions
• ML Systems Design and Infrastructure

Responsibilities

• Design, build, and optimize ML models powering our AI agents and automation systems
• Contribute to the development of scalable ML pipelines and frameworks
• Collaborate with product managers and engineers to deliver ML-powered features
• Implement robust monitoring, evaluation, and retraining workflows for deployed models
• Research and experiment with state-of-the-art LLMs and ML techniques
• Participate in design discussions, model reviews, and performance evaluations

Requirements

• 4+ years of hands-on experience in Machine Learning or Applied AI
• Strong understanding of ML fundamentals (probability, statistics, algorithms)
• Practical experience working with LLMs, NLP, or generative AI systems
• Familiarity with MLOps tools and practices (model deployment, evaluation, monitoring)
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.)
• Experience with cloud platforms (AWS, GCP, Azure) and containerized environments
• Strong problem-solving and analytical skills
• (Preferred) Contributions to open-source projects, blogs, or Git portfolios demonstrating relevant work.

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Skit.ai is the leading Conversational AI company in the accounts receivables industry, empowering collection agencies and creditors to automate collection conversations and accelerate revenue recovery. Skit.ai’s suite of multichannel solutions—featuring voice, text, email, and chat, in both English and Spanish, powered by Generative AI—interacts with consumers in their preferred channel, elevating consumer experiences and consequently boosting recoveries.

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

Role & responsibilities

Preferred candidate profile