Job Title : Engineering Manager-AI / ML
Location : Hyderabad (Hybrid)
Experience : 8–12 Years (STRICTLY)
Employment Type : Permanent
Notice Period : Immediate Joiners 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 Description
We are seeking a highly motivated and experienced ML Manager / Lead Data Scientist to join our
growing ML / GenAI team.
You will play a key role in designing, developing and productionalizing ML / GenAI applications by
evaluating models, training and / or fine tuning them. As a lead, you require a deep
understanding of both machine learning algorithms and software architecture. You need to take
ownership of projects from conception to deployment, collaborating with engineers and
stakeholders to ensure successful project delivery.
What we're looking for :
- At least 5 years of experience in designing & building ML / AI applications for customer
and deploying them into production
At least 8 years of Software engineering experience in building Secure, scalable andperformant applications for customers.
At least 2 years of experience leading and mentoring ML / data science teams( 4+ teammembers)
Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or GenAI.
Design, develop, and operationalize existing ML models by fine tuning, personalizing it.Evaluate machine learning models and perform necessary tuning.Develop prompts that instruct LLM to generate relevant and accurate responses.Collaborate with data scientists and engineers to analyze and preprocess datasets forprompt development, including data cleaning, transformation, and augmentation.
Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts toimprove LLM performance.
Lead the end-to-end design and architecture of scalable, reliable, and cost-effectiveGenerative AI solutions. This includes designing RAG (Retrieval-Augmented Generation)
pipelines, agentic workflows, and model fine-tuning strategies.
Hands on customer experience with RAG solution or fine tuning of LLM model.Build and deploy scalable machine learning pipelines on GCP or any equivalent cloudplatform involving data warehouses, machine learning platforms, dashboards or CRM
tools.
Experience working with the end-to-end steps involving but not limited to data cleaning,exploratory data analysis, dealing outliers, handling imbalances, analyzing data
distributions (univariate, bivariate, multivariate), transforming numerical and categorical
data into features, feature selection, model selection, model training and deployment.
Act as the senior-most developer, writing clean, high-quality, and scalable code. Thisincludes building core components for prompt engineering, vector search, data
processing, model evaluation, and inference serving.
Proven experience building and deploying machine learning models in productionenvironments for real life applications
Good understanding of natural language processing, computer vision or other deeplearning techniques.
Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost,TensorFlow, PyTorch, Scikit-learn, LangChain).
Familiarity with Google Cloud or any other Cloud Platform and its machine learningservices.
Excellent communication, collaboration, and problem-solving skills.Good to Have
Google Cloud Certified Professional Machine Learning or TensorFlow CertifiedDeveloper certifications or equivalent.
Experience of working with one or more public cloud platforms - namely GCP, AWS orAzure.
Experience with AutoML and vision techniques.Master’s degree in statistics, machine learning or related fields.Mandatory Skills
Strong expertise in ML Manager / Lead Data Scientist to join ourgrowing ML / GenAI team
At least 5 years of experience in designing & building ML / AI applications for customerand deploying them into production
At least 8 years of Software engineering experience in building Secure, scalable andperformant applications for customers.
At least 2 years of experience leading and mentoring ML / data science teams( 4+ teammembers)
Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or GenAI.
Important Note (Please Read Before Applying)
🚫 Do NOT apply if :
You have less than 8 years or more than 12 years of experienceYou do not have hands-on ML / AI / Lead experience / Gen AI / At least 8 years of Software engineering experienceYou are on a notice period longer than 15 daysYou are looking for hybrid only (role is hybrid inHyderabad )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 .