
Review Criteria
- Strong Senior Data Scientist (AI/ML/GenAI) Profile
- 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
- Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
- Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows
Preferred
- Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
- Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Job Specific Criteria
- CV Attachment is mandatory
- Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
- Are you okay with 3 Days WFO?
- Virtual Interview requires video to be on, are you okay with it?
Role & Responsibilities
Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
Responsibilities:
- Own the full ML lifecycle: model design, training, evaluation, deployment
- Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
- Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
- Build agentic workflows for reasoning, planning, and decision-making
- Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
- Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
- Collaborate with product and engineering teams to integrate AI models into business applications
- Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices
Ideal Candidate
- 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
- Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
- Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
- Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
- Strong software engineering background with experience in testing, version control, and APIs
- Proven ability to balance innovation with scalable deployment
- B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
- Bonus: Open-source contributions, GenAI research, or applied systems at scale

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Deltek’s award winning Support Services team provides best-in-class assistance to Deltek’s customers across the world via phone, chat and email. Our team is comprised of a group of diverse, collaborative and passionate professionals who come from varying industries, backgrounds and professions. Our diversity and passion is our strength, so however you identify and whatever background you bring, we invite you to explore our team as a potential next step in your career!
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- TAT Adherence: Ensure quick turnaround time for onboarding interview panelists based on business requirements.
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- Strong understanding of IT technologies and job roles.
- Proficiency in sourcing tools like Naukri, LinkedIn, and Boolean search.
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> Develop a safe, pollution free work environment and robust EHS Culture at site.
> To enhance engagement of employees for building EHS culture.
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> Implementation of EHS Global Standards, Like work permit system , LOTO Permit , contractor safety management , chemical safety management , Personnel protective equipment, Incident reporting and investigation , Risk Assessment and process hazard analysis, change control management, Employee Engagement , Machine Safety procedure etc.
' Evaluation of training need assessment and ensure the compliance as per calender.
> EHS round on monthly basis with engaging department SLT's, shift in charges and EHS profesionals.
> Creating awareness among employees and workers by celebrating EHS Programs — National Safety Week, Road Safety Week, Fire Service week etc.
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> Conducting job safety analysis, Risk Assessment & Process hazard analysis.
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> Encourage and ensure incident reporting & investigation, root cause analysis and compliance of corrective action and preventive action.
> Ensure emergency preparedness and response compliance and ready to operate 24X7 fire Extinguishers, Fire Hydrant System, Fire alarm system, Public Announcement System, SCBA ,Safety shower, Spill control Kit, ambulance etc.
' Ensure pressure vessel, Lifting tool tackles, hoist and lifts etc. testing and compliance, form-9, form-33 etc.
> Workplace health & hygiene monitoring.
> Ensure the compliance of EHS legal register and compliance register.
Ø Ensure the compliance of local EHS procedures, EHS Manual, EHS Policy, On site emergency plan.
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