Data Analytics Jobs Opening in For a Client of TeamLease Digital at Telangana
FEATURED JOBConsultant Data Science
organization.
8 to 9 Years 
1600000 - 1800000 Yearly 
Hyderabad, Nizamabad, Warangal, Ramagundam, Karimnagar, Telangana, Adilabad, Khammam, Mahabubnagar, Medak, Nalgonda, Kumuram Bheem Asifabad, Bhadradri Kothagudem, Jagitial, Jangoan, Jayashankar Bhupalapally, Jogulamba Gadwal, Kamareddy, Mahabubabad, Mancherial, Medchal Malkajgiri, Nagarkurnool, Nirmal, Rajanna Sircilla, Sangareddy, Siddipet, Suryapet, Vikarabad, Wanaparthy, Yadadri Bhuvanagiri, Peddapalli, Narayanpet, Hanumakonda, Ranga Reddy, Mulugu 
Job Description
Key Responsibilities
• Lead and oversee technical delivery of AI projects, ensuring best practices in engineering and sustainable solutions.
• Collaborate with business stakeholders to gather requirements and translate them into actionable AI strategies.
• Identify and mitigate risks across project lifecycles, ensuring compliance and quality standards.
• Stay ahead of emerging technology trends and assess their applicability for business innovation.
• Represent the AI team in executive discussions and external forums as needed. Guide the team on data sourcing strategies and ensure robust data governance.
• Should have experience in testing AI products from AI landscape of Risk, Compliance, Jail breaking, Performance etc. Ensure high-quality outputs and timely delivery of AI solutions.
• Drive innovation by researching market trends and proposing new AI-driven approaches to business problems.
Requirements
• Education: Bachelor’s/Master’s in Computer Science, Data Science, or related field.
• Experience: AI/ML, data engineering, or analytics
• Strong proficiency in Python/R, SQL, and ML frameworks (TensorFlow, PyTorch).
• Hands-on experience with cloud platforms (AWS, Azure) and tools like Databricks, SageMaker.
• Proven track record in deploying AI models as services using Azure ML, Kubernetes, and GitHub for version control.
• Deep understanding of either of Azure AI services or Microsoft Bedrock, NLP, computer vision, and generative AI models (e.g., GPT).
• Ability to work and collaborate with enterprise architects.Strong business acumen to identify areas where AI can deliver measurable impact.
• Excellent communication and stakeholder management skills to bridge technical and business teams.
• Experience in MLOps practices and model lifecycle management.
• Familiarity with transformers and LLMs for advanced AI applications. Ability to mentor and develop team members, fostering a culture of innovation and collaboration.
