Deep Learning
Machine Learning (ML)
Python
Amazon Web Services (AWS)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.
Data Analytics● Work in a Business Process Outsourcing (BPO) Module providing marketing solutions to different local and international clients and Business Development Units in the online casino industry.
● Photography Mastery: Capture and edit exceptional photos for marketing campaigns, online casino game showcases, and social media.
● Videography Brilliance: Create compelling video content that engages and informs our players, from short social snippets to detailed product explainers.
● Marketing and Promotions: Collaborate with the marketing team to plan and execute promotional campaigns to attract and retain players.
● Marketing Design: Develop content that aligns with our marketing objectives, targeting specific channels and demographics especially online casinos..
● Collaborative Projects: Work closely with our design and marketing teams to deliver cohesive and innovative multimedia content.
● Reporting: Generate regular reports on key performance indicators, financial metrics, and operational data to assess the casino's performance.
● Trend & Tech Awareness: Stay updated with current trends in multimedia design and the latest hardware and software tools.
The specific responsibilities and requirements for a Sr. Multimedia Designer in an online casino may vary depending on the size and nature of the casino, as well as local regulations and industry standards.
Work Experience Requirements
● 5+ Years in Multimedia Design: Your portfolio should include at least five years in a multimedia role, focusing on photography, videography, and audio design.
● Tech-Savvy: Proficiency in industry-standard software such as Adobe Premiere Pro, Photoshop, After Effect, and Audition.
● Portfolio Excellence: A portfolio showcasing multimedia projects, especially in photography and videography.
● Marketing Flair: Previous experience in creating marketing-specific content is a must.
● Outstanding Communication: Impeccable oral and written skills are essential for team collaboration and stakeholder management.
● SEO & SEM Experience: Understanding search engine optimisation and search engine marketing will be beneficial.
● Data-Driven Approach: Familiarity with Google Analytics to gauge the success of your projects is a plus.
● Team Leadership: Experience leading or mentoring a creative team will give you an edge.
● Project Management Skills: Ability to oversee multiple projects from inception to completion within a fast-paced environment.
● Must be willing to report onsite in Cambodia
API Lead Developer
Job Overview:
As an API developer for a very large client, you will be filling the role of a hands-on Azure API Developer. we are looking for someone who has the necessary technical expertise to build and maintain sustainable API Solutions to support identified needs and expectations from the client.
Delivery Responsibilities
Required Qualifications
Preferred Qualifications:
Preferred Education/Skills:
React Native
React.js
Redux/Flux- Experience using React Native to build cross-platform applications, including integrating React Native into existing native applications.
- Firm grasp of the TypeScript language and modern React,
- Experience managing state with Redux,
- Ability to write well-documented, clean code,
- Good written and oral communication skills in English.
- Knowledge on hooks in react native
Employment Type
Full-time
Screening question
PHP
Laravel
What you need to have:
Java
XML
R ProgrammingPython
Data ScienceRole and Responsibilities
Core Qualifications
Candidates must meet ALL of the following qualifications:
Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
HTML/CSS
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