AI/ML/Gen AI Engineer

Round 1: Online Aptitude Test (logical reasoning, quantitative, verbal) → Round 2: Technical Interview (coding, data structures, AI/ML concepts, system design) → Round 3: HR Interview (fit, motivations, cultural alignment)

Ascendion promotes a collaborative culture where ideas are openly shared and innovation is rewarded. Employees benefit from regular learning sessions, mentorship, and a healthy work‑life balance with flexible timings. Growth opportunities are abundant, with clear career ladders and support for certifications.

The interview process at Ascendion typically spans three rounds. The first round is an online aptitude test focusing on logical, quantitative, and verbal abilities. The second round is a technical interview where candidates solve coding problems, discuss AI/ML concepts, and may be asked to design a simple model. The final HR round assesses cultural fit and motivation. Overall difficulty is moderate, and thorough preparation on data structures, Python, and basic ML concepts helps candidates succeed.

B.Tech, M.Tech or MCA in Computer Science, Electronics, Information Technology or related streams. Minimum 60% aggregate (or 6.5 CGPA) in graduation. Final year students of the 2024‑2026 batches are eligible. No active backlogs at the time of joining.

Ascendion is a fast‑growing technology services firm headquartered in Bangalore, Karnataka. The company specializes in delivering end‑to‑end digital transformation solutions, with a strong focus on artificial intelligence, data engineering, and cloud-native platforms. Over the past few years, Ascendion has built a reputation for partnering with Fortune‑500 enterprises and innovative startups alike, helping them harness the power of AI to drive business outcomes. The organization prides itself on a culture of continuous learning, where engineers are encouraged to experiment with cutting‑edge technologies and contribute to open‑source projects. The work environment at Ascendion is collaborative and inclusive. Teams operate in cross‑functional pods, sharing knowledge through regular tech talks, hackathons, and mentorship programs. Employees enjoy a balanced work‑life rhythm, flexible working hours, and the option to work from the office or remotely as per project requirements. The company’s commitment to employee growth is evident through structured learning pathways, certifications, and clear promotion criteria. The AI/ML/Gen AI Engineer role is designed for fresh graduates and early‑career professionals who are passionate about building intelligent systems. As a member of the AI Solutions team, you will contribute to the design, development, and deployment of machine‑learning models and generative AI applications that solve real‑world problems for Ascendion’s clients. You will work closely with data scientists, product managers, and software engineers to translate business requirements into scalable AI solutions. Key Responsibilities: 1. Design, develop, and fine‑tune machine‑learning and generative AI models using Python libraries such as TensorFlow, PyTorch, and Keras. 2. Build end‑to‑end AI pipelines, including data ingestion, preprocessing, model training, evaluation, and deployment. 3. Develop RESTful APIs to expose AI services and integrate them with front‑end or mobile applications. 4. Participate in code reviews, technical discussions, and knowledge‑sharing sessions to maintain high code quality. 5. Document technical processes, model architectures, and deployment procedures for internal and client consumption. 6. Stay updated with the latest advancements in AI/ML, generative AI, and related research papers. 7. Collaborate with cross‑functional teams to understand business problems and propose AI‑driven solutions. 8. Optimize model performance and scalability on cloud platforms such as AWS or GCP. 9. Contribute to automation testing using tools like Appium and Selenium for AI‑enabled applications. 10. Assist in creating demo prototypes and proof‑of‑concepts for prospective clients. Tech Stack: Python, TensorFlow, PyTorch, Keras, Scikit‑learn, Pandas, NumPy, Docker, Kubernetes, AWS/GCP, REST APIs, Git, CI/CD pipelines, Appium, Android SDK. Growth Path: Junior AI Engineer → AI Engineer → Senior AI Engineer → Lead AI Engineer → AI Solutions Manager. The role offers exposure to high‑impact projects, mentorship from senior AI architects, and opportunities to lead teams as you progress. Why Join Ascendion? You will work on cutting‑edge AI initiatives, gain hands‑on experience with generative models, and be part of a supportive community that values innovation and personal development. The company’s strong client portfolio ensures that you will see the tangible impact of your work across diverse industries.