AI/ML Engineer

Important Note (Please Read Before Applying)

🚫 Do NOT apply if:

• You have less than 6 years or more than 12 years of experience

You do not have hands-on Engineering Manager-AI/ML 5+ experience

• You are on a notice period longer than 30 days
• You are looking for Hybrid only (role is Hybrid in Hyderabad,Bangalore)
• You are a fresher or unrelated background (e.g., support, testing only, non-Java roles)

✅ Apply ONLY if you meet ALL criteria above. Random / irrelevant applications will not be processed.

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

Job Title: Engineering-AI/ML

Location: Hyderabad

Experience: 5+ Years (STRICTLY)

Employment Type: Permanent

Notice Period: Immediate Joiners -30 Days Only

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Job Overview:

About the Role

AI/ML Engineer

Key Responsibilities

• Develop, train, and optimize ML/DL models for real-world applications.
• Build GenAI applications using LLMs, embedding models, and vector databases.
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
• Deploy ML models into production using CI/CD and MLOps frameworks.
• Work closely with data engineers, product teams, and cloud architects to deliver AI-driven features.
• Monitor model performance and implement continuous improvement strategies.
• Evaluate new AI frameworks, libraries, and research papers to enhance the AI roadmap.
• Build APIs, pipelines, and scalable inference systems.

Required Skills

Core Technical Skills

• Strong Python programming (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).
• Hands-on experience with LLMs, RAG, prompt engineering, fine-tuning, and model evaluation.
• Expertise in ML algorithms, deep learning, NLP, and generative AI techniques.
• Proficiency in data pipelines: Airflow, Spark, Kafka (optional).
• Experience in MLOps: Docker, Kubernetes, MLflow, Kubeflow, SageMaker, or Vertex AI.
• Familiarity with vector DBs (FAISS, Pinecone, Chroma).
• Cloud: AWS/Azure/GCP (any one mandatory).