Lead UI UX Designer

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.

Responsibilities:-

• Responsible for maintaining accurate financial records and transactions
• They prepare financial statements, including income statements and balance sheets
• Accountants analyze financial data to identify trends and provide insights for decision-making. They assist in budgeting, forecasting and monitoring actual performance against targets
• Tax compliance is a key responsibility, including preparing and filing tax returns. Accountants coordinate and facilitate internal or external audits
• They utilize accounting software and generate reports. Compliance with financial regulations and reporting to regulatory bodies is part of the accountant's role
• Assessing financial risks and proposing strategies for mitigation is important. Provide financial advice and guidance based on analysis and market trends
• Visit our client office and collect payments

Requirements:-

• A minimum of 1 year of experience in finance and accounting
• A bachelor's or Master's degree in a relevant Accounting field or a professional accounting qualification
• Proficient in Tally and Management Information Systems(MIS)
• Should have Excellent communication
• Strong knowledge of accounting principles, financial reporting standards, and tax regulations. Analytical skills to interpret financial data and identify patterns
• Effective communication skills for conveying financial information. Proficiency in accounting software and spreadsheet applications
• Problem solving abilities to identify and address financial issues. Technical proficiency in MS Office suite
• Male candidates apply

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Dedicated to work

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

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Responsibilities:

 The tool development also involves working with SQL queries and web front end

Designing, developing, and testing web applications with .Net HTML, CSS and other technologies

Design and development of software applications (primarily web based) used in various areas of the bank (such as Loans processing, Treasury, Middle Office )

Manages the architecture, design, and coding of software for TFI from concept to finished product, in order to answer the needs of the Strategies, Sales, and Trading departments

Consults with end users within the Strategies, Sales, and Trading departments to identify where technology can automate current processes to enhance revenues and cut cost

Maintains currency in technical skills and all relevant fixed income industry sector factors

May lead the work of others and provide ideas which help to enhance TFI software applications

Software design & development principles such as SOLID, Domain-Driven-Design and Object-Oriented Development

ORM frameworks, particularly the Entity Framework

• Solid background and proven experience in the Java Tech Stacks
• Expertise in Java and in JavaScript based framework
• Expertise in multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)
• Familiarity with databases (e.g., MySQL, MongoDB), web servers (e.g., Apache) and UI/UX design
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Excellent communication and teamwork skills
• Great attention to detail and problem-solving skills

What you need to have: