
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

Similar jobs
We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.
What will you need to be successful in this role?
Core Technical Skills
• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Proven experience deploying production LLM applications with 1M+ tokens processed
• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling
• Production experience with RAG systems including hybrid search and re-ranking
• Deep understanding of embedding models and vector databases at scale
• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)
• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)
• Experience implementing multi-agent systems and orchestration
• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)
Advanced Capabilities
• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)
• Knowledge of knowledge graphs and graph-based RAG implementations
• Understanding of model hosting, inference optimization, and cost management
• Experience with MLOps pipelines, CI/CD for ML, and model versioning
• Ability to architect end-to-end ML solutions from data ingestion to deployment
• Experience with data pipelines and ETL for ML workflows
• Proficiency in containerization and orchestration (Docker, Kubernetes)
Client Engagement & Delivery
• Experience presenting technical solutions to clients and stakeholders
• Ability to translate business requirements into technical ML solutions
• Track record of delivering client POCs and production implementations
• Experience creating technical documentation and implementation guides
Good to have
• Experience hosting private LLMs (7B-13B models on-premises or cloud)
• Knowledge of graph databases (Neo4j) and graph neural networks
• Experience with streaming and real-time ML inference
• Published research papers or contributions to open-source ML projects
• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning
• AWS/Azure ML certifications or working towards them
Competencies
• Excellent verbal and written communication skills
• Strong mentoring ability for junior ML engineers
• Self-driven with ability to work independently on complex problems
• Excellent problem-solving skills with systematic debugging approach
• Proactive ownership of projects from ideation to deployment
• Ability to stay current with rapidly evolving AI/ML landscape
• Excellent academic record – B.E./B.Tech, MCA,
🚀 We’re Hiring- PHP Developer Deqode
📍 Location: Pune (Hybrid)
🕒Experience: 4–6 Years
⏱️ Notice Period: Immediate Joiner
We're looking for a skilled PHP Developer to join our team. If you have a strong grasp of secure coding practices, are experienced in PHP upgrades, and thrive in a fast-paced deployment environment, we’d love to connect with you!
🔧 Key Skills:
- PHP | MySQL | JavaScript | Jenkins | Nginx | AWS
🔐 Security-Focused Responsibilities Include:
- Remediation of PenTest findings
- XSS mitigation (input/output sanitization)
- API rate limiting
- 2FA integration
- PHP version upgrade
- Use of AWS Secrets Manager
- Secure session and password policies
Lead Data Scientist role
Work Location- Remote
Exp-7+ Years Relevant
Notice Period- Immediate
Job Overview:
We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI) and Deep Learning (DL).
Mandatory Skills:
• 5+ years of work experience in writing code in Python
• Experience in using various Python libraries like Pandas, NumPy
• Experience in writing good quality code in Python and code refactoring techniques (e.g.,IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black)
• Strong experience on AI assisted coding experience.
• AI assisted coding for existing IDE's like vscode.
• Experimented multiple AI assisted tools and done research around it.
• Deep understanding of data structures, algorithms, and excellent problem-solving skills
• Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation
• Machine Learning libraries like Scikit-learn, XGBoost
• Experience in CV, NLP or Time Series.
• Experience in building models for ML tasks (Regression, Classification)
• Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings
• Experience of model training and serving on any of the cloud environments (AWS, GCP,Azure)
• Experience in distributed training of models on Nvidia GPU’s
• Familiarity in Dockerizing the model and create model end points (Rest or gRPC)
• Strong working knowledge of source code control tools such as Git, Bitbucket
• Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous
• Strong drive to learn and master new technologies and techniques
• Strong communication and collaboration skills
• Good attitude and self-motivated
Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*
Key Responsibilities
- Responsible for achieving both individual and team sales targets.
- Monitor team performance and ensure collective success.
- Conduct cold calling to generate leads and close deals.
- Assist clients with their grievances and ensure timely resolution
- Work across all three domains: Signal Services, Broking, and Copy Trading.
- Develop and implement new sales strategies to drive revenue generation.
- Research and explore global Forex & Comex markets for potential business growth.
- Ensure adherence to company policies, industry regulations, and compliance standards.
- Guide and mentor the team to enhance performance.
Qualifications:
- Minimum Graduate or Post Graduate.
- Proven experience in a client-facing role, preferably in client success, account management, or customer service.
- Excellent communication and interpersonal skills.
- Proficiency in CRM software and other relevant tools.
Perks & Benefits:
- Overseas trip by the company
- Monthly Contest & Trophies.
- Quarterly and Annual Rewards and Recognition.
Years of exp: 2+ years
Notice period: Immediate
Location: Bangalore
Skills: dot net developer with WPF/ Winform
- 5+ Years of experience in performance testing
- Must have proven experience in JMeter.
- Willing to join in a short notice period (20-25 days)
- Excellent proficiency in architecting and designing performance tests at an enterprise/application level on a variety of technical stacks based on the understanding of the architecture
- Excellent analytical skills and proficiency to dig down and pinpoint performance issues and recommend probable tuning solutions
• Design, build, and maintain scalable applications using Python.
• Contribute to the entire implementation process including driving the definition of improvements
based on business need and architectural improvements.
• Act as a subject matter expert for Application Software developers and Engineers.
• Handle server-side code for a production platform and contribute to new features
To be the right fit, you'll need:
• More than 4+ years of experience as a software developer in Python, with knowledge of at least one Python web framework such as Django, Flask, etc.
• Good understanding of common design patterns and architecture principles to design reliable and Scalable applications
• Strong communication skills
• Knowledge of databases line NoSQL or MongoDB
• Good to have AWS and Docker or Web services
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3







