Tecblic Private LImited
https://www.tecblic.comAbout
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Jobs at Tecblic Private LImited
Python🚀 We Are Hiring: Data Engineer | 4+ Years Experience 🚀
Job description
🔍 Job Title: Data Engineer
📍 Location: Ahmedabad
🚀 Work Mode: On-Site Opportunity
📅 Experience: 4+ Years
🕒 Employment Type: Full-Time
⏱️ Availability : Immediate Joiner Preferred
Join Our Team as a Data Engineer
We are seeking a passionate and experienced Data Engineer to be a part of our dynamic and forward-thinking team in Ahmedabad. This is an exciting opportunity for someone who thrives on transforming raw data into powerful insights and building scalable, high-performance data infrastructure.
As a Data Engineer, you will work closely with data scientists, analysts, and cross-functional teams to design robust data pipelines, optimize data systems, and enable data-driven decision-making across the organization.
Your Key Responsibilities
Architect, build, and maintain scalable and reliable data pipelines from diverse data sources.
Design effective data storage, retrieval mechanisms, and data models to support analytics and business needs.
Implement data validation, transformation, and quality monitoring processes.
Collaborate with cross-functional teams to deliver impactful, data-driven solutions.
Proactively identify bottlenecks and optimize existing workflows and processes.
Provide guidance and mentorship to junior engineers in the team.
Skills & Expertise We’re Looking For
3+ years of hands-on experience in Data Engineering or related roles.
Strong expertise in Python and data pipeline design.
Experience working with Big Data tools like Hadoop, Spark, Hive.
Proficiency with SQL, NoSQL databases, and data warehousing solutions.
Solid experience in cloud platforms - Azure
Familiar with distributed computing, data modeling, and performance tuning.
Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus.
Strong analytical thinking, collaboration skills, Excellent Communication Skill and the ability to work independently or as part of a team.
Qualifications
Bachelor’s degree in Computer Science, Data Science, or a related field.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Deep Learning
Machine Learning (ML)Job Description: Machine Learning Engineer – LLM and Agentic AI
Location: Ahmedabad
Experience: 4+ years
Employment Type: Full-Time
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About Us
Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, machine learning, and pushing the boundaries of Agentic AI, we’d love to have you on board.
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Key Responsibilities
• Research and Development: Research, design, and fine-tune machine learning models, with a focus on Large Language Models (LLMs) and Agentic AI systems.
• Model Optimization: Fine-tune and optimize pre-trained LLMs for domain-specific use cases, ensuring scalability and performance.
• Integration: Collaborate with software engineers and product teams to integrate AI models into customer-facing applications and platforms.
• Data Engineering: Perform data preprocessing, pipeline creation, feature engineering, and exploratory data analysis (EDA) to prepare datasets for training and evaluation.
• Production Deployment: Design and implement robust model deployment pipelines, including monitoring and managing model performance in production.
• Experimentation: Prototype innovative solutions leveraging cutting-edge techniques like reinforcement learning, few-shot learning, and generative AI.
• Technical Mentorship: Mentor junior team members on best practices in machine learning and software engineering.
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Requirements
Core Technical Skills:
• Proficiency in Python for machine learning and data science tasks.
• Expertise in ML frameworks and libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, or similar.
• Solid understanding of Large Language Models (LLMs) such as GPT, T5, BERT, or Bloom, including fine-tuning techniques.
• Experience working on NLP tasks such as text classification, entity recognition, summarization, or question answering.
• Knowledge of deep learning architectures, such as transformers, RNNs, and CNNs.
• Strong skills in data manipulation using tools like Pandas, NumPy, and SQL.
• Familiarity with cloud services like AWS, GCP, or Azure, and experience deploying ML models using tools like Docker, Kubernetes, or serverless functions.
Additional Skills (Good to Have):
• Exposure to Agentic AI (e.g., autonomous agents, decision-making systems) and practical implementation.
• Understanding of MLOps tools (e.g., MLflow, Kubeflow) to streamline workflows and ensure production reliability.
• Experience with generative AI models (GANs, VAEs) and reinforcement learning techniques.
• Hands-on experience in prompt engineering and few-shot/fine-tuned approaches for LLMs.
• Familiarity with vector databases like Pinecone, Weaviate, or FAISS for efficient model retrieval.
• Version control (Git) and familiarity with collaborative development practices.
General Skills:
• Strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability.
• Solid understanding of algorithms and data structures to solve complex ML problems.
• Ability to handle and process large datasets using distributed frameworks like Apache Spark or Dask (optional but useful).
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Soft Skills:
• Excellent problem-solving and critical-thinking abilities.
• Strong communication and collaboration skills to work with cross-functional teams.
• Self-motivated, with a continuous learning mindset to keep up with emerging technologies.
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