📍Location:
Bengaluru
💼Job Type:
Full Time
💰Salary:
₹10,00,000 – ₹22,00,000 per annum (CTC)
🎓Qualification:
B.Tech / B.E / M.Tech / MCA (Computer Science / Data Science / AI)
🕒Experience:
2–6 Years
📅Deadline:
2026-06-25
Freshers allowed: No
Preferred experience level: Senior Level
Category: IT / AI & Machine Learning
Posted: 2026-03-16 · Views: 0
Role & Responsibilities
- DataVision AI is seeking a talented Machine Learning Engineer to design, build, and deploy AI solutions across multiple business domains.
- The role involves developing predictive models, natural language processing pipelines, and recommendation systems using real-world datasets. The engineer will collaborate with data scientists, software engineers, and product teams to implement scalable AI-driven solutions.
- This position is ideal for candidates passionate about data, AI, and solving complex business problems with machine learning.
- Key Responsibilities
- Build, test, and deploy machine learning models and algorithms.
- Process and analyze large datasets to extract actionable insights.
- Collaborate with product and engineering teams for model integration.
- Optimize models for performance, scalability, and efficiency.
- Research and implement state-of-the-art ML/AI techniques.
- Document workflows, datasets, and modeling pipelines.
Requirements
2–6 years experience in machine learning or AI engineering.
Strong programming skills in Python or R.
Experience with TensorFlow, PyTorch, scikit-learn, or similar frameworks.
Understanding of data preprocessing, feature engineering, and model evaluation.
Knowledge of cloud platforms like AWS, Azure, or GCP.
Strong problem-solving, analytical, and communication skills.
Strong programming skills in Python or R.
Experience with TensorFlow, PyTorch, scikit-learn, or similar frameworks.
Understanding of data preprocessing, feature engineering, and model evaluation.
Knowledge of cloud platforms like AWS, Azure, or GCP.
Strong problem-solving, analytical, and communication skills.
Benefits
Competitive salary with performance-based bonuses.
Hybrid work environment with flexible hours.
Health insurance and paid leave.
Access to AI/ML training, workshops, and certification programs.
Opportunity to work on innovative AI projects with enterprise clients.
Career growth into Senior ML Engineer or AI Architect roles.
Hybrid work environment with flexible hours.
Health insurance and paid leave.
Access to AI/ML training, workshops, and certification programs.
Opportunity to work on innovative AI projects with enterprise clients.
Career growth into Senior ML Engineer or AI Architect roles.
Selection Process
- Round 1 – Technical Assessment
- Candidates will complete an online assessment covering:
- Machine Learning algorithms (supervised & unsupervised)
- Python or R programming
- Data preprocessing and feature engineering
- Problem-solving and logical reasoning
- Round 2 – Technical Interview
- The technical panel evaluates:
- Experience building ML models and pipelines
- Knowledge of TensorFlow, PyTorch, scikit-learn, and cloud ML services
- Ability to deploy and optimize AI/ML solutions
- Round 3 – HR Interview
- The HR round evaluates:
- Communication and teamwork skills
- Cultural fit and alignment with company goals
- Salary expectations and joining timeline
FAQs
Frequently Asked Questions
Yes, the company supports a hybrid work model.
Preferred but not mandatory. Practical experience is most important.
Python, R, TensorFlow, PyTorch, scikit-learn, and cloud ML platforms.
Candidates can join immediately or within 30–45 days depending on notice period.
Application & Links
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