Opening For - AI / ML

Greetings from SP Staffing Services!

Reaching out to you regarding permanent MNC opportunity!!

Job Description:

Position : AI / ML Engineers

Location: Pan India

Experience : 4-20 yrs

Interview Mode:Virtual Interview

Interview Process: Technical & Managerial / HR round

Job Responsibilities

• Works with less structured and more complex AI/ML and data engineering problems, and serves as a technical resource to others across teams.
• Ability to interact with business users, data partners, architects, and product owners to define analytical and AI/ML solution requirements.
• Capable of leading a team of motivated engineers/data scientists and mentoring them technically and functionally in AI/ML, GenAI, and MLOps practices.
• Participate in and lead critical AI/ML technical discussions, solution architecture reviews, and modernization strategy sessions.
• Prepare detailed solution designs involving model architecture, data pipelines, evaluation strategy, and deployment patterns by collaborating with PO, business SMEs, and engineering leaders.
• Translate business requirements into scalable ML system designs and detailed technical documentation.
• Demonstrated ability to prioritize multiple AI/ML workloads and deliver within aggressive project timelines in a fast-paced environment.
• Participate in design reviews, model validation reviews, code reviews, and production-readiness reviews for AI/ML releases.
• Strong knowledge of AI solution lifecycle: data ingestion, feature engineering, model creation, evaluation, deployment, monitoring, and retraining.
• Document complex functional/technical designs, data flows, ML pipelines, and model runbooks to support business and operational needs.
• Ensure timely delivery and quality of all assigned ML/GenAI deliverables.

Must Have

• Strong hands-on expertise ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, and model deployment tools.
• Experience in developing ML models, deep learning models, LLM finetuning, and Generative AI applications (RAG, embeddings, prompt engineering).
• Experience with MLOps tools such as MLflow, Kubeflow, Airflow, DVC, GitHub Actions, or Azure ML pipelines.
• Excellent communication, presentation, and collaboration skills.
• Proven ability in designing ML systems with reliability, scalability, and observability in mind.

Interested can share your resume to sankar@spstaffing.in