Lead Engineer AIML with expertise in AI/ML solutions and Generative AI for advanced project implementations. Requires 8-12 years of experience in Python, LLMs, and model deployment.
Compensation
₹25–₹30
yearly · INR
Experience
8–12 yrs
Location
Hyderabad
Telangana, India
Hours / Week
12 hrs/wk
Compensation
₹25–₹30
yearly · INR
Experience
8–12 yrs
Location
Hyderabad
Telangana, India
Hours / Week
12 hrs/wk
The Brief
TITLE
Lead Engineer AIML
TEAM
IT
TYPE
Full-time
POSITIONS
1
POSTED
Aug 17, 2026
JOB ID
01a00fa5
TITLE
Lead Engineer AIML
TEAM
IT
TYPE
Full-time
POSITIONS
1
POSTED
Aug 17, 2026
JOB ID
01a00fa5
Job Title / Role Lead Engineer AIML
Type of Employment (Full time/Contract/Contract to hire) Full time [internal Position]
Years of Experience Required (Min-Max) 8 - 12 Years No. of Positions 1
CTC in INR 25-30 LPA [ 5% including varibale]
Bounty Highest Qualification Required Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Work Location Hyderabad Mode of Work (Remote/On-site/Hybrid) 5 days WFO
Notice Period/ Start Date Flexibility 0-15 days On-site feasibility (work abroad) No
Interview Rounds
L1- Technical L2 - Technical F2F
L3 - Techno Managerial F2F
L4 - Techno Managerial HR
Interview Panel Time slots 12 pm- 3pm
Office Time 10 AM to 7 PM or 2PM – 11 PM Weekend Drives No
Salaries paid on Last working day of the month
Must/Good to Have Details
Must have
Role Description
The role will drive the design, development, and delivery of AI/ML solutions with an emphasis on Generative AI, LLMs, and agentic architectures.
Requires hands on expertise in implementation of GenAI projects.
-Hands on experience in Python, LLMs, Generative AI, and core machine learning
-Practical implementation experience in GenAI projects (e.g., RAG chatbot, work automation, domain specific models)
-Experienced in ML libraries ( TensorFlow or similar) is a definite plus
-Solid understanding of AI architecture, embeddings, vector databases
-Experience with model deployment, monitoring, and CI/CD
-Familiarity with cloud AI platforms like Azure, AWS, GCP and cloud-based data and ML services
-Experienced with agentic frameworks
Good to have
Key role and responsibilities
scikit-learn,
-Delivery of AI/ML and Generative AI solutions, implement GenAI workflows including RAG systems, fine tune LLMs, prompt driven agents, and automation pipelines.
-Build PoC / blueprint implementations to validate concepts
-Guide AI/ML best practices, evaluate GenAI technologies, frameworks, and cloud AI services
-Collaborate with business stakeholders to shape AI initiatives
-Ensure responsible AI practices, enterprise security and compliance considerations
About the company