- Trivandrum
- 6 - 0 Years
- Not disclosed
- AI/ML Engineer
- Today
Job Description
We are looking for a Python-proficient AI/ML Engineer to join our team and help build intelligent, AI-driven features for our products. In this role, you will design and train machine learning models, work with modern tools such as LLMs and Generative AI, and take your work from development to live deployment — collaborating closely with data scientists, engineers, and product teams. Experience: 7+ Years Employment Type: Contract Contract Duration: 3–6 Months Location: Remote Key Responsibilities Build and train machine learning and deep learning models using Python Prepare and analyze large datasets for modeling Deploy models to production with a focus on scalability and performance Apply LLMs, NLP, and Computer Vision to add AI/GenAI capabilities to our products Write clean, well-documented code following Git and CI/CD best practices Collaborate with engineers and product managers to shape technical solutions Stay current with emerging AI/ML tools and bring new ideas to the team What We're Looking For Strong hands-on Python skills with solid programming fundamentals Experience building and fine-tuning ML/DL models Working knowledge of data preprocessing, feature engineering, and statistics Some experience deploying ML models to production Familiarity with LLMs, NLP, or Computer Vision Working knowledge of Git and CI/CD pipelines Strong problem-solving and cross-functional collaboration skills Key Skills: Python · TensorFlow/PyTorch · LLMs & Prompt Engineering · NLP · Computer Vision · Git & CI/CDSkills
Strong proficiency in Python Hands-on experience with Machine Learning and Deep Learning Experience with TensorFlow and/or PyTorch Knowledge of Scikit-learn, NumPy, and Pandas Practical experience with LLMs and Generative AI Knowledge of Prompt Engineering, RAG, and AI APIs Familiarity with NLP and Natural Language Processing techniques Knowledge of Computer Vision and OpenCV Experience in data preprocessing, feature engineering, and model evaluation Experience with ML model deployment and REST APIs Knowledge of FastAPI or Flask Familiarity with Docker and CI/CD pipelines Working knowledge of Git/GitHub/GitLab Familiarity with Cloud platforms such as AWS, Azure, or GCP Knowledge of Vector Databases such as FAISS, Pinecone, or Chroma is an advantage Understanding of MLOps and production ML workflows is an added advantageSuggested Jobs
We are looking for a Senior Software Engineer with 4–6 years of experience in building scalable backend systems using Java and Spring Boot, along with working exposure to modern frontend frameworks like Next.js and React. The ideal candidate will have strong Python skills and hands-on knowledge of AI/ML technologies, and will be responsible for designing robust backend services, contributing to UI development where needed, and building or integrating AI/ML-driven features into production systems. The role requires strong technical ownership, the ability to work across the stack, and a keen interest in applying AI/ML to real-world engineering problems. Key Responsibilities Design, develop, and maintain scalable, high-performance backend services and REST/GraphQL APIs using Java and Spring Boot. Architect and implement microservices, ensuring reliability, security, and maintainability. Contribute to frontend development using Next.js and React for internal tools, dashboards, or product features as needed. Build, integrate, and deploy AI/ML models and pipelines using Python. Collaborate with data science/ML teams to operationalize models into backend services and production workflows. Design and optimize database schemas and queries (SQL/NoSQL) for performance and scalability. Write clean, well-tested, and maintainable code following best engineering practices. Participate in system design discussions, code reviews, and architectural decisions. Integrate third-party APIs, LLM providers, and AI/ML services into existing applications. Troubleshoot and resolve issues across backend, frontend, and ML integration layers. Collaborate closely with product, QA, DevOps, and data science teams to deliver end-to-end features. Ensure application security, scalability, and performance across the stack. Maintain technical documentation for services, APIs, and ML integrations. Participate actively in Agile/Scrum ceremonies, sprint planning, and reviews. Identify opportunities to apply AI/ML capabilities to improve product features and engineering workflows.
ACCOUNTING INTERN
TrivandrumAbout the Role:* As an *Accounting Intern at Archemey Digital Pvt Ltd*, you will work closely with our finance and accounts team to support day-to-day accounting operations. This role is designed to provide practical exposure to real-world accounting processes while helping you develop your financial, analytical, and organizational skills in a professional work environment. What You’ll Do: Assist in day-to-day accounting and finance activities Maintain and update accounting records and financial documents Assist with preparing invoices, bills, vouchers, and payment records Support GST preparation and filing activities Assist with TDS calculation, documentation and Filing Help track expenses and maintain supporting documents Ensure proper filing and organization of accounting documents Support the accounts team in finance-related activities as required
PRODUCT MARKETING SPECIALIST
TrivandrumThe Product Marketing Specialist serves as primary liaison between Leader Group (Saudi) sales team and the LeLab (India) product delivery teams. The role owns incoming sales and marketing support requests, ensures product collateral readiness across the portfolio, and contributes to product quality through usability testing and UI/UX feedback. Success in this role depends on strong cross-functional coordination across BA, Project / Technical Product Managers, QA, DevOps, and Development teams. This is purely non-technical role reporting to Program Manager. Key Responsibilities: Sales & Marketing Liaison Act as the single point of contact for incoming support requests from the Leader Group (Saudi) sales team for the LeLab product portfolio. Triage, prioritise, and route sales/marketing requests to the relevant LeLab departments and track them through to closure. Translate sales requirements into clear, actionable briefs for internal teams. Cross-Functional Coordination: Coordinate across BA, Project/Technical Product Managers, QA, DevOps, and Development teams to fulfil sales and marketing requests. Facilitate communication between parent-company stakeholders and the offshore delivery team, accounting for time-zone and cultural considerations. Product Collateral Ownership: Own the readiness, accuracy, and version control of product collateral (brochures, datasheets, demos, presentations, feature sheets) across the product portfolio. Maintain a centralised, up-to-date repository of marketing assets. Usability & UI/UX: Conduct usability testing on LeLab products and consolidate findings. Provide structured UI/UX feedback to product and development teams from a market and end-user perspective. Marketing Support: Support go-to-market activities, product launches, and feature announcements. Assist in preparing marketing content aligned with product positioning. Required Qualifications Bachelor's / Master's degree in Marketing, Business Administration, or a related field. 3–4 years of experience in product marketing, marketing coordination, or a similar role, preferably in a product-based organisation. Demonstrable experience working with or alongside product / technical teams. Excellent written and verbal communication skills. Strong stakeholder-management and coordination skills. Preferred / Good-to-Have Exposure to usability testing and a working understanding of UI/UX principles. Experience operating within an offshore / parent-company (distributed) structure. Familiarity with collaboration and project-tracking tools (e.g., Jira, Confluence, Asana). Experience working with Middle East / Saudi stakeholders; Arabic language ability is an added advantage. Key Performance Indicators (KPIs) Aligned to comparable product-marketing / liaison roles in product organisations operating a parent + offshore-development-centre model. Targets to be calibrated with the hiring manager.
